The read_spot and read_spot_alt user macros read all or part of the contents of SPOT Panochromatic or Multispectral images into AVS/Express. They also manage access to the large amounts of data in a SPOT image. The read_spot_alt macro provides an alternative way of specifying the scaling and windowing parameters.
Parameters
Name Type Description UI Control HeaderFileName String Name of SPOT header file. File Dialog ImageFileName String Name of SPOT image file. File Dialog BandNumberToRead Integer Band to read from SPOT image. UI Field StartRow Integer Row to start reading from. UI Field StartColumn Integer Column to start reading from. UI Field NumberOfRows Integer Number of rows to read. UI Field NumberOfColumns Integer Number of columns to read. UI Field XScaleFactor Float Horizontal scaling factor. UI Field YScaleFactor Float Vertical scaling factor. UI Field ActivateFlag Integer Toggles update of image. UI Toggle Output Ports
Name Type Description out_image 2D Uniform Field Image data read from SPOT file. out_obj DataObject Directly renderable output object. ProcessingLevel string Level of image processing ('1A' or '1B') NumberOfBands integer Number of bands of data in SPOT file. NumberOfRows integer Total number of rows of data. NumberOfColumns integer Total number of columns of data. Year
Month
Dayinteger Date contained in SPOT file. Hour
Minuteinteger Time contained in SPOT file. Second float Time contained in SPOT file.
These two user macros read SPOT image files. The read_spot macro reads the both the header and image data from a set SPOT header and image files. The header information is displayed to the user and the image data is output as a 2D AVS/Express image field and renderable object. The read_spot_alt macro is derived from the read_spot macro and provides an alternate way of specifying scaling and window parameters.
The SPOT file format was created by the SPOT Image Corporation so that data from the SPOT series of satellites could be distributed. The SPOT satellites produce panchromatic imagery with a resolution of about 10 meters. They produce multispectral imagery with a resolution of about 30 meters.
SPOT images are available with many levels of processing. Level 1A is essentially raw data. It has been radiometrically corrected, but has not been rectified. Level 1B has been radiometrically corrected and has been rectified. However, the rectification technique is very coarse, and does not consider local perturbations caused by terrain. Level 2 data is radiometrically corrected and rectified using techniques that consider perturbations caused by terrain and other factors. These macros can not read SPOT files with level 2 processing.
Panchromatic level 1A scenes have 6000 pixel rows and 6000 pixel columns. Multispectral level 1A scenes have 3000 pixel rows and 3000 pixel columns. Panchromatic level 1B scenes have from 5900 to 6100 pixel rows and from 5900 to 8000 pixel columns. Multispectral level 1B scenes have from 2900 to 3100 pixel rows and from 2900 to 5000 pixel columns.
The ReadSpot macros should be able to display virtually any SPOT image. They are able to read level 1A and 1B images in both panchromatic or multispectral forms. As SPOT images can be very large scaling factors and a window within the image can be specified. The read_spot and read_spot_alt macros manage access to the SPOT file so that only the appropriate parts of the image file are accessed for visualization.
Specifying the scaling and window parameters for the read_spot module can be difficult so below are two examples of setting up image parameters.
To display a 1000 x 1000 image derived from the entire contents of a level 1A SPOT panchromatic scene, you would set the following values:
Parameter Value Start Row 0 Start Column 0 Number of Output Rows 1000 Number of Output Columns 1000 X Scale Factor 1000 / 6000 = 0.16666 Y Scale Factor 1000 / 6000 = 0.16666 To display a 1000 x 1000 image derived from a 2000 x 2000 sub-image starting at row 300, column 500 of a SPOT scene, you would set the following values:
Parameter Value Start Row 300 Start Column 500 Number of Output Rows 1000 Number of Output Columns 1000 X Scale Factor 1000 / 2000 = 0.5 Y Scale Factor 1000 / 2000 = 0.5 The read_spot_alt module provides an alternate way of specifying the number of rows and columns that are to be read. Instead of specifying the number of output rows and columns that you want the final AVS field to have you specify the number of rows and columns that are to be read from the SPOT file. Which of these two modules are used depends on your problem domain and your personal preference. Shown below are the same two examples of setting up image parameters revised so that they work with the read_spot_alt module.
To display a 1000 x 1000 image derived from the entire contents of a level 1A SPOT panchromatic scene, you would set the following values:
Parameter Value Start Row 0 Start Column 0 Number of Input Rows 6000 Number of Input Columns 6000 X Scale Factor 1000 / 6000 = 0.16666 Y Scale Factor 1000 / 6000 = 0.16666 To display a 1000 x 1000 image derived from a 2000 x 2000 sub-image starting at row 300, column 500 of a SPOT scene, you would set the following values:
Parameter Value Start Row 300 Start Column 500 Number of Input Rows 2000 Number of Input Columns 2000 X Scale Factor 1000 / 2000 = 0.5 Y Scale Factor 1000 / 2000 = 0.5
&input_params
Input parameter block that contains the input parameters for the user macros.
input_params.HeaderFileName
String parameter that contains the name of the SPOT header file that should be read. The filename can either by relative or absolute and it can contain AVS/Express environment variables (i.e. $XP_ROOT, $XP_PATH<1>).
input_params.ImageFileName
String parameter that contains the name of the SPOT image file that should be read. The filename can either by relative or absolute and it can contain AVS/Express environment variables (i.e. $XP_ROOT, $XP_PATH<1>).
input_params.BandNumberToRead
Integer parameter that specifies which band should be read from the SPOT file. Currently the read_spot macro can read SPOT files that have either 1 or 3 bands. Therefore this parameter can only have the values 1,2 or 3. If no value is specified then all the bands will be read and the output data will be treated as greyscale or RGB data as appropriate.
input_params.StartRow
input_params.StartColumn
Integer parameters that specify where the SPOT file should start to be to read from.
input_params.NumberOfRows
input_params.NumberOfColumns
Integer parameters that specify how many rows and columns should be read from the SPOT file. For the read_spot macro these parameters specify how many rows and columns the output AVS/Express field should have. Conversely for the read_spot_alt macro these parameters specify how many rows and columns of data should be read from the input SPOT file.
input_params.XScaleFactor
input_params.YScaleFactor
Float parameters that specify the horizontal and vertical scaling factors that are to be used when a SPOT file is read. These scaling factors are intended to allow the user to downsize the SPOT image as it is read. This reduces the amount data that has to be processed by the visualization pipeline. The scaling factor is calculated as the output dimension divided by the input dimension. Therefore to downsize the SPOT data scaling factors of less than 1 would be used.
input_params.ActivateFlag
Integer parameter that specifies whether the SPOT file should be read whenever a parameter is changed. If this parameter is set to 0 the SPOT file is never read. This allows the user to setup the scaling and window parameters without having to wait for SPOT file to load after each change.
out_image
Field data output that contains the image data read from the SPOT file. This field data contains a 2D uniform mesh and one component of node data. If the SPOT file contains 1 band the node data will consist of scalar bytes. If the SPOT file contains 3 bands the node data will consist of a 3 byte vector that is treated as RGB data by the renderer.
out_obj
The directly renderable output of the read_spot and read_spot_alt macros. This output contains the image data read from the SPOT file in a form that can be rendered by the standard data viewers.
output_params
Output parameter block that contains the header information read by the user macros. This parameter block is only used to provide information to the user. The ReadSpotImage and ReadSpotImageAlt macros do not use this parameter block as they access the header file directly.
output_params.ProcessingLevel
String parameter that states the processing level that this SPOT file was created with. This parameter can have the values '1A', '1B' or 'unknown'.
output_params.NumberOfBands
Integer parameter that states how many of bands of data are present in the SPOT file. The read_spot and read_spot_alt macro can only read images with either 1 or 3 bands.
output_params.NumberOfRows
output_params.NumberOfColumns
Integer parameters that state the numbers of rows and columns that are present in the SPOT image.
output_params.Year
output_params.Month
output_params.Day
Integer parameters that state the date found in the SPOT header file.
output_params.Hour
output_params.Minute
output_params.Second
Integer and float parameters that state the time found in the SPOT header file. The hours and minutes are stated as integers. The number of seconds is stated as a floating point. The number of milliseconds read from the SPOT header is converted into seconds and stored in the seconds parameter.
The ReadSpotImageFunc functional macro uses the ReadSpotImage low-level module. The read_spot user macro uses this functional macro, the ReadSpotHeader low-level module and the ReadSpotUI user interface macro. The ReadSpotImageFuncAlt functional macro uses the ReadSpotImageAlt low-level module. The read_spot_alt user macro uses this functional macro, the ReadSpotHeader low-level module and the ReadSpotUIAlt user interface macro. All of these macros use the ReadSpotInputParams and ReadSpotOutputParams parameter blocks to communicate information between themselves.
Two example applications are provided, ReadSpotEg and ReadSpotEgAlt, that demonstrate using the read_spot and read_spot_alt user macros to read and display SPOT files. No example SPOT files are included with the project as they would increase the size of the download by too much.
xp_comm_proj/rd_spot/rsptmods.v contains the V definitions of the ReadSpotInputParams and ReadSpotOutputParams groups and the ReadSpotHeader, ReadSpotImage and ReadSpotImageAlt low-level modules.
xp_comm_proj/rd_spot/rsptmacs.v contains the V definitions of the read_spot and read_spot_alt User Macros, the ReadSpotImageFunc and ReadSpotImageFuncAlt Functional Macros and the ReadSpotUI and ReadSpotUIAlt UI Macros.
xp_comm_proj/rd_spot/rsptapps.v contains the V definitions of the ReadSpotEg and ReadSpotEgAlt example applications.
The ReadSpotMacs library inherits its process. As this library contains no procedural code, the process is not important. The modules in the low-level ReadSpotMods library execute under the process specified in that library, not the process defined in the high-level library.
Steve Walker Advanced Visual Systems, Inc.
Andrew Dodd International AVS Centre


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Below are short, and sometimes vague, definitions of terms used to describe BQN code.
- Value: Something that can be stored in variables and manipulated by a BQN programmer.
- Type: One of seven possible kinds of value.
The possible types are:
- Number: Like some caveman was counting but then forty thousand years of math happened to it.
- Character: A Unicode code point.
- Array: A multidimensional collection of values.
- Function: An operation that is called on one or two arguments.
- 1-modifier: An operation that is called on one operand.
- 2-modifier: An operation that is called on two operands.
- Namespace: A container for variables, some of which are exposed as fields.
A few terms refer to multiple types collectively:
- Atom: A value that's not an array.
- Modifier: A 1-modifier or 2-modifier.
- Data type: Number, character, or array.
- Operation type: Function, 1-modifier, or 2-modifier.
- Mutable type: Operation or namespace.
BQN uses standard terminology for particular sets of numbers, with natural numbers starting at 0.
- Boolean: 0 or 1.
- Natural number: 0, or 1 plus a natural number; alternatively, a non-negative integer.
- Integer: A natural number or its negation (use "whole number" instead whenever you can get away with it).
- Real number (more accurately, approximate doubly-extended real number): A number with no complex part.
- Complex number: A real number plus i (one of the square roots of -1) times another real number.
- Syntactic role: One of four possible types for an expression, which are determined by the expression itself and not outside context and describe how it interacts with other parts of the syntax.
The possible roles are:
- Subject: Can be passed to a function or modifier.
- Function: Can be called on subjects or passed to a modifier.
- 1-modifier: Can be called on one subject or function.
- 2-modifier: Can be called on two subjects or functions.
- Array: A multidimensional collection of values.
- Element: One of the values contained in an array.
- Axis: One dimension or direction in an array.
- Rank: The number of dimensions an array has.
- Shape: The number of elements an array has along each dimension.
- Length: The number of elements an array has along the first dimension, or 1 if it has rank 0.
- Depth: The greatest number of times an element can be selected from a value before reaching an atom.
- Fill: A "prototypical" array element used in certain operations; it's an inferred property of an array.
- Empty: Having no elements. An array is empty if its shape contains 0.
- Cell: An array containing all elements of the original array whose indices share a particular prefix.
- k-Cell: A cell of rank k.
- Major cell: A cell with rank one less than the original array.
- Agreement: The way elements are paired when a function maps over two arrays.
- Frame: A prefix of an array's shape, used for agreement with the Rank modifier.
- Unit: An array of rank 0, or an atom.
- Unit array: An array of rank 0 other than an atom.
- List: An array of rank 1.
- String: A list of characters.
- Table: An array of rank 2.
- Index: One of a variety of ways to select an element, cell, axis, or position along an axis of an array.
- Operation: A value that is called on inputs to perform computation and return a result or cause an error.
- Call: Submit inputs to an operation and receive any result.
- Input: A value given (passed) to an operation when it's called.
- Result: A value returned from an operation when called.
- Argument: An input to a function.
- Operand: An input to a modifier.
- Valence: The number of arguments that can be or are passed to a function.
- Ambivalent: A function that can be called with one or two arguments without causing an error.
- Monadic: Called with one argument, either always (a monadic function) or in a particular instance (a monadic call).
- Dyadic: Called with two arguments, always or in a particular instance.
- Derived function: A function produced by binding operands to a deferred modifier; doing so does not cause any computation.
- Train: A function composed of two or more functions.
- Identity element: An inferred property of a function: the result of a reduction with this function on an empty array.
- Error: A condition that stops compilation or execution.
- Inferred property: A property of a value that is derived by BQN based on constraints. If it cannot be derived then the value will not have the property.
- Token formation or tokenization: Splitting source code into a sequence of tokens.
- Token: A name, literal, primitive, or other syntactic element.
- Literal: A token that indicates a fixed value of a data type.
- Primitive: One of several fixed operations defined by the language, denoted by a single-character token.
- Word: A sequence of alphabetic or numeric characters.
- Name: A word that starts with an alphabetic character. Names are compared case-insensitively and ignoring underscores
_
.
- Numeric literal: A word that starts with a numeric character, indicating a number.
- String literal: A literal written with double quotes
""
, indicating a string.
- Character literal: A literal written with single quotes
''
, indicating a string.
- Null literal: The literal
@
, indicating the null character (code point 0).
- Parsing: Analysis of the tokens of a program, which determines which actions will be taken to evaluate it.
- Expression: A piece of code that defines a (not necessarily constant) variable.
- Nothing: A special value-like entity that comes from
·
, 𝕨
in a function with no left argument, or a function called on nothing.
- Statement: An expression, or nothing (
·
).
- Ligature: The character
‿
.
- List notation: The angle brackets
⟨⟩
or ligatures used to indicate a list.
- Assignment: An operation that sets a variable's value. Definition (
←
) or a change of definition (↩
).
- Assignment arrow:
←
or ↩
, used to denote assignment.
- Definition: The first assignment of a variable, which must be performed with
←
.
- Scope: An environment where variables are defined and manipulated, which is created before evaluating a body.
- Identifier: An instance of a name in a program, with two identifiers considered the same if they correspond to the same definition.
- Block: A syntactic element surrounded in curly braces
{}
, which encapsulates code.
- Immediate block: A block that is evaluated and returns a value immediately; it has a subject role.
- Block function: A block defining a function.
- Block modifier: A block defining a 1- or 2-modifier.
- Immediate modifier: A modifier that's evaluated as soon as it receives its operands.
- Deferred modifier: The opposite of an immediate modifier, one that's only evaluated when called with operands and arguments.
- Header: A preface to a body in a block function or modifier indicating possible inputs, which is followed by a colon
:
.
- Label: A header consisting of a single name.
- Body: One sequence of statements in a block. Bodies, possibly preceded by headers, are separated by semicolons
;
.
- Tacit: Code that defines functions or modifiers without using blocks.


The mission of The London Django Meetup Group is to provide a fun, welcoming and professional environment for a diverse group of people.
Code of conduct: djangolondon.com/code-of-conduct
Tonight's meetup is kindly sponsored by:
Elastic is the world’s leading software provider for making structured and unstructured data usable in real time for use cases like search, logging, security, and analytics. Founded in 2012 by the people behind the Elasticsearch, Kibana, Beats, and Logstash open source projects, the Elastic Stack, X-Pack, and Elastic Cloud have had more than 100 million cumulative downloads to date.
Europe's largest music festival platform, and UK's 6th fastest growing private tech start up.
Transforming the way music fans discover, book tickets and travel packages for festivals around the world.
Mixcloud is an audio streaming platform connecting a global community of listeners and creators through audio culture. Listeners can access a unique collection of over 15 million radio shows, DJ mixes and podcasts produced and uploaded by over 1.3 million passionate tastemakers and curators around the globe.
The trusted global platform that inspires and enables people to experience the best of the city. Operating in 107 cities, across 39 countries, it has an average monthly global audience reach of over 111 million across all platforms.
We turn word of mouth into your best sales channel.
Fixed a crash when filtering with a Subquery() annotation of a queryset containing JSONField or HStoreField
Django now officially supports MariaDB 10.1 and higher.
Django 3.0 begins our journey to making Django fully async-capable by providing support for running as an ASGI application.
Many more fetures
https://docs.djangoproject.com/en/dev/releases/3.0
Sat 12th - Sun 13th of October
Data transparency on Django with yourData
by Matthew Linares
Hiring a Personal Investigator for your app
by Emanuil Tolev
The Space Bar until ~20:45
Migrate to the Red Lion Pub (opposite)
Please come and chat with us!
Come and grab a sticker after the talk.
Pink: I want to hire
Yellow: Hire me!
Website: https://djangolondon.com
Twitter: @djangolondon
Github: https://github.com/djangolondon/
Open Collective: https://opencollective.com/the-london-django-meetup-group/


Select Chords to Include in Randomizer
Then hit play to hear one sound. Select the right answer from the list.
A Major
A Minor
B Major
B Minor
C Major
C Minor
D Major
D Minor
E Major
E Minor
F Major
F Minor
G Major
G Minor
The sound is:
*********


-
Assisting Quality Education
THE UNIQUE METHOD
GET AWESOME FEATURE LIST -
Assisting Quality Education
UNMATCHED APPROACH
GET AWESOME FEATURE LIST -
Assisting Quality Education
AWESOME FACULTY PANEL
GET AWESOME FEATURE LIST


HIPPIE MODERNISM: THE STRUGGLE FOR UTOPIA
This Walker-organized exhibition, assembled with the assistance of the Berkeley Art Museum/Pacific Film Archive, examines the intersections of art, architecture, and design with the counterculture of the 1960s and early 1970s.
A time of great upheaval, this period witnessed a variety of radical experiments that challenged societal and professional expectations, overturned traditional hierarchies, explored new media and materials, and formed alternative communities and new ways of living and working together.


{% extends "admin/base_site.html" %} {% load i18n %} {% load admin_urls %} {% block breadcrumbs %}
{% endblock %} {% block content %}Are you sure you wish to delete the endorsement for the role "{{ endorsement.role }}"? This will make the endorsement available to be endorsed again by another user.
| Role | {{ endorsement.role }} |
|---|---|
| Reviewer | {% firstof endorsement.creator.get_full_name endorsement.creator %} |
| Reviewed on | {{ endorsement.created|date }} |


Notes
Keyword Expansion Issues:
The conversion process preserves keyword file types and sets these files
in Perforce with the +k modifier. However keywords in Subversion and
Perforce are expanded differently. For example: In Subversion the keyword
$Revision$
expands to:
$Revision: 25005 $ (a change number in Perforce)
Another example is the keyword $Date$
, which in
Subversion gives you the time as well...
$Date: 2006-02-17 12:09:10 +0000 (Fri, 17 Feb 2006) $
and in Perforce...
$Date: 2006/02/17 $
Here is a list of alternatives, (based on the above example):
$Revision$ ==> $Change$ gives $Change: 25005 $ $Date$ ==> $DateTime$ gives $DateTime: 2006/02/17 12:09:10 $
Due to the differences in keyword expansion the MD5 sum in Subversion is not valid for use in Perforce. This is why any keyword expanded files have an empty MD5 sum and why the p4 verify -u //... command is recommended in the 'Optional Steps' section.


FROM THE DESK OF JAMES SAKATO AFRICAN DEVELOPMENT BANK (ADB) OUAGADOUGOU BURKINA-FASO WEST AFRICA. PLANE CRASH WEB SITE...http://news.bbc.co.uk/1/hi/world/europe/859479.stm.  HOWEVER AFTER SERIES OF PETITION WAS RECIEVED BY THIS PRESENT REGIME FROM FOREIGN CONTRACTORS AND INABILITY OF THE ARICAN DEVOLOPMENT BANK (ADB)TO FULFILL THEIR OBLIGATION FOR THE PAYMENT TO ITS FOREIGN CREDITORS, IN CONJUNCTION WITH THE COUNCIL OF MINISTERS, THEY MANDATED US TO CARRY OUT A CAREFUL AND COMPREHENSIVE REVIEW OF ALL OVERDUE PAYMENTS TO FOREIGN CONTRACTORS AND TO EFFECT PAYMENTS IMMEDIATELY. DURING THE ABOVE MENTIONED PROCESS, WE DISCOVERED AN ABANDONED SUM OF US$10.5 M (TEN MILLION FIVE HUNDRED THOUSAND US DOLLARS) IN AN ACCOUNT THAT BELONGS TO ONE OF OUR FOREIGN CUSTOMER WHO DIED ALONG WITH HIS ENTIRE FAMILY IN A PLANE CRASH THAT HAPPENED IN JULY 2000.SINCE WE GOT INFORMATION ABOUT HIS DEATH, WE HAVE BEEN EXPECTING HIS NEXT OF KIN TO COME OVER AND CLAIM HIS MONEY BECAUSE WE CANNOT RELEASE IT UNLESS SOME BODY APPLIES FOR IT AS NEXT OF KIN OR RELATION TO THE DECEASED AS INDICATED IN OUR BANKING GUIDELINES AND LAWS BUT UNFORTUNATELY WE LEARNT THAT ALL HIS SUPPOSED NEXT OF KIN OR RELATION DIED ALONGSIDE WITH HIM AT THE PLANE CRASH LEAVING NOBODY BEHIND FOR THE CLAIM.  I AGREE THAT 40% OF THIS MONEY WILL BE FOR YOU AS A FOREIGN PARTNER, IN RESPECT TO THE PROVISION OF A FOREIGN ACCOUNT,AND 50% WOULD BE FOR ME, WHILE 10% WILL BE FOR EXPENSES INCURE DURING THE TRANSACTION.  UPON THE RECEIPT OF YOUR REPLY, I WILL SEND TO YOU BY EMAIL THE TEXT OF THE APPLICATION TO FILL AND SEND TO THE BANK.   YOUR'S FAITHFULLY, JAMES SAKATO FROM (ADB) OUAGADOUGOU BURKINA-FASO. ¡Miles de amigos con tus mismas aficiones! http://www.latinchat.com


{{/* Show an abbreviated form of the article for list pages. * Note that the Date show is the Lastmod if available. */}}
{{ .Description | default .Summary | markdownify }}


Active Response
联动反应
Active response allows you to automatically execute commands or responses when a speciﬁc event or set of events is triggered.
当特别的事件或者事件集被触发时,联动反应自动的执行命令或者反应
For example, look at Figure 1.8. An attacker launches an attack against your organization’s mail server (1). 例如：如果1.8所示,攻击者向你的组织的邮件服务器发动了攻击
The attack then passes through your ﬁrewall (2), and ﬁnally, transparently, passes by your deployed network tap that inspects all trafﬁc destined for your mail server (3).
攻击先通过防火墙,最后通过了部署在邮件服务器上用来检测所有通过的流量的网络trap
Your NIDS happens to have a signature for this particular attack.
NIDS 对于这种攻击有相应的特征库
The NIDS active response service sends a command to your ﬁrewall (4) to reset the attacker’s session and place a rule blocking that host.
这样，NIDS的联动反应机制就会向防火墙发送命令停止会话并加入相应的策略去阻止这台主机的通过防火墙
When the attacker, whose connection has been reset, tries to initiate the attack again (5), the attacker is blocked.
当攻击者的连接会话被阻止，他会在去尝试很多次，而由于我们已经修改了防火墙的策略(阻止其ip或者host通过)所以攻击者会被阻止
The beneﬁts of active response are enormous, but also risky.
联动反应的好处与风险是同时存在的。
For example, legitimate trafﬁc might generate a false positive and block a legitimate user/host if the rules are poorly designed.
例如、当策略指定的不恰当时,对于合法的流量可能产生错误的判断从而阻止合法的用户与主机通过防火墙
If an attacker knows that your HIDS blocks a certain trafﬁc signature, the attacker could spoof IP addresses of critical servers in your infrastructure to deny you access.
当然如果攻击者知道你的HIDS的基于某个流量特征库产生相应的策略去阻止这样的ip或者host通过,攻击者就可以伪造你的设备中重要的一些服务器的ip地址去阻止你的访问
This is essentially a DoS attack that prevents your host from interacting with that IP address.
这实际山就是一种阻止你的主机访问一些ip地址的拒绝服务攻击


You win
You lost
Play again
HANGMAN
Try to guess the word by filling missing letters
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z


Rails Application Templates
Application templates are simple Ruby files containing DSL for adding gems/initializers etc. to your freshly created Rails project or an existing Rails project.
After reading this guide, you will know:
- How to use templates to generate/customize Rails applications.
- How to write your own reusable application templates using the Rails template API.
Usage
To apply a template, you need to provide the Rails generator with the location of the template you wish to apply using the -m option. This can either be a path to a file or a URL.
$ rails new blog -m ~/template.rb
$ rails new blog -m http://example.com/template.rb
You can use the rake task rails:template
to apply templates to an existing Rails application. The location of the template needs to be passed in to an environment variable named LOCATION. Again, this can either be path to a file or a URL.
$ bin/rake rails:template LOCATION=~/template.rb
$ bin/rake rails:template LOCATION=http://example.com/template.rb
Template API
The Rails templates API is easy to understand. Here's an example of a typical Rails template:
# template.rb
generate(:scaffold, "person name:string")
route "root to: 'people#index'"
rake("db:migrate")
after_bundle do
git :init
git add: "."
git commit: %Q{ -m 'Initial commit' }
end
The following sections outline the primary methods provided by the API:
gem(*args)
Adds a gem
entry for the supplied gem to the generated application's Gemfile
.
For example, if your application depends on the gems bj
and nokogiri
:
gem "bj"
gem "nokogiri"
Please note that this will NOT install the gems for you and you will have to run bundle install
to do that.
bundle install
gem_group(*names, &block)
Wraps gem entries inside a group.
For example, if you want to load rspec-rails
only in the development
and test
groups:
gem_group :development, :test do
gem "rspec-rails"
end
add_source(source, options = {})
Adds the given source to the generated application's Gemfile
.
For example, if you need to source a gem from "http://code.whytheluckystiff.net"
:
add_source "http://code.whytheluckystiff.net"
environment/application(data=nil, options={}, &block)
Adds a line inside the Application
class for config/application.rb
.
If options[:env]
is specified, the line is appended to the corresponding file in config/environments
.
environment 'config.action_mailer.default_url_options = {host: "http://yourwebsite.example.com"}', env: 'production'
A block can be used in place of the data
argument.
vendor/lib/file/initializer(filename, data = nil, &block)
Adds an initializer to the generated application's config/initializers
directory.
Let's say you like using Object#not_nil?
and Object#not_blank?
:
initializer 'bloatlol.rb', <<-CODE
class Object
def not_nil?
!nil?
end
def not_blank?
!blank?
end
end
CODE
Similarly, lib()
creates a file in the lib/
directory and vendor()
creates a file in the vendor/
directory.
There is even file()
, which accepts a relative path from Rails.root and creates all the directories/files needed:
file 'app/components/foo.rb', <<-CODE
class Foo
end
CODE
That'll create the app/components
directory and put foo.rb
in there.
rakefile(filename, data = nil, &block)
Creates a new rake file under lib/tasks
with the supplied tasks:
rakefile("bootstrap.rake") do
<<-TASK
namespace :boot do
task :strap do
puts "i like boots!"
end
end
TASK
end
The above creates lib/tasks/bootstrap.rake
with a boot:strap
rake task.
generate(what, *args)
Runs the supplied rails generator with given arguments.
generate(:scaffold, "person", "name:string", "address:text", "age:number")
run(command)
Executes an arbitrary command. Just like the backticks. Let's say you want to remove the README.rdoc
file:
run "rm README.rdoc"
rake(command, options = {})
Runs the supplied rake tasks in the Rails application. Let's say you want to migrate the database:
rake "db:migrate"
You can also run rake tasks with a different Rails environment:
rake "db:migrate", env: 'production'
route(routing_code)
Adds a routing entry to the config/routes.rb
file. In the steps above, we generated a person scaffold and also removed README.rdoc
. Now, to make PeopleController#index
the default page for the application:
route "root to: 'person#index'"
inside(dir)
Enables you to run a command from the given directory. For example, if you have a copy of edge rails that you wish to symlink from your new apps, you can do this:
inside('vendor') do
run "ln -s ~/commit-rails/rails rails"
end
ask(question)
ask()
gives you a chance to get some feedback from the user and use it in your templates. Let's say you want your user to name the new shiny library you're adding:
lib_name = ask("What do you want to call the shiny library ?")
lib_name << ".rb" unless lib_name.index(".rb")
lib lib_name, <<-CODE
class Shiny
end
CODE
yes?(question) or no?(question)
These methods let you ask questions from templates and decide the flow based on the user's answer. Let's say you want to freeze rails only if the user wants to:
rake("rails:freeze:gems") if yes?("Freeze rails gems?")
# no?(question) acts just the opposite.
git(:command)
Rails templates let you run any git command:
git :init
git add: "."
git commit: "-a -m 'Initial commit'"
after_bundle(&block)
Registers a callback to be executed after the gems are bundled and binstubs are generated. Useful for all generated files to version control:
after_bundle do
git :init
git add: '.'
git commit: "-a -m 'Initial commit'"
end
The callbacks gets executed even if --skip-bundle
and/or --skip-spring
has
been passed.
Advanced Usage
The application template is evaluated in the context of a
::Rails::Generators::AppGenerator instance. It uses the apply
action
provided by
Thor.
This means you can extend and change the instance to match your needs.
For example by overwriting the source_paths
method to contain the
location of your template. Now methods like copy_file
will accept
relative paths to your template's location.
def source_paths
[File. (File.dirname(__FILE__))]
end


Publications
Publications by categories in reversed chronological order.
2021
- USCAPQuantitative Tissue Architecture Features are Statistically Similar Between Human-Annotated and AI-Generated Tumor Label Maps in Early-Stage Oral Cavity CancerIn 110th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP),
- USCAPWhole Slide Analysis of Oral Cavity Cancer: Large Scale Active LearningIn 110th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP),
- SPIEQuantifying the importance of spatial anatomical context in cadaveric, non-contrast enhanced organ segmentationIn 2021 International Society for Optics and Photonics (SPIE),
- SPIEThe impact of CT-data segmentation variation on the morphology of osteological structureIn 2021 International Society for Optics and Photonics (SPIE),
- SPIEConditional generative adversarial networks for H&E to IF domain transfer: experiments with breast and prostate cancerIn 2021 International Society for Optics and Photonics (SPIE),
- SPIEComparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancerIn 2021 International Society for Optics and Photonics (SPIE),
2020
- SPIEQuantitative evaluation of cadaveric contrast agents: identifying anatomical structures with BriteVuIn 2020 International Society for Optics and Photonics (SPIE), 2020
- Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosinIn 2020 International Society for Optics and Photonics (SPIE), 2020
- SUFUSpine Structure Comparison In Subjects With and Without Pelvic Organ ProlapseIn SUFU 2020 Winter Meeting
2019
- USCAPComputing Dispersion - Distances of Cancer Satellites Are Associated with Disease Recurrence in Oral Cancer: Graphic-Based Analysis of Tumor Pattern of InvasionIn 108th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP), 2019
- USCAPArtificial Intelligence Generation of Multiclass Cancer Maps for Oral Cavity CancerIn 108th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP), 2019
- SPIEAutomated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopyIn 2019 International Society for Optics and Photonics (SPIE), 2019
- SPIETwo-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mappingIn 2019 International Society for Optics and Photonics (SPIE), 2019
- SPIEFragile neural networks: the importance of image standardization for deep learning in digital pathologyIn 2019 International Society for Optics and Photonics (SPIE), 2019
- ECPBuilding an AI School for Pathology: Workflow for Human-AI Interfaces2019
2018
- CMBBEA resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology imagesComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2018
- FASEBBuilding a Hybrid Gross Anatomy Curriculum: Integration of Virtual & Cadaveric ModelsThe FASEB Journal, 2018
- BMC CancerQuantitative Nuclear Histomorphometry predicts Oncotype DX risk categories for early stage ER+ Breast CancerBMC Cancer 2018
- SPIERole of training data variability on classifier performance and generalizabilityIn 2018 International Society for Optics and Photonics (SPIE), 2018
- SPIERegistration parameter optimization for 3D tissue modeling from resected tumors cut into serial H&E slidesIn 2018 International Society for Optics and Photonics (SPIE), 2018
- ISBIActive Deep Learning: Improved Training Efficiency of Convolutional Neural Networks for Tissue Classification in Oral Cavity CancerIn 2018 IEEE International Symposium on Biomedical Imaging (ISBI), 2018
- Building a Hybrid Gross Anatomy Curriculum: Integration of Virtual & Cadaveric ModelsIn Experimental Biology (EB), 2018
2017
- JBIDeveloping the quantitative histopathology image ontology (QHIO): A case study using the hot spot detection problemJournal of Biomedical Informatics 2017
- USCAPMatlab Silhouette Analysis of Worst Pattern of Invasion in Oral Squamous CarcinomaIn 106th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP), 2017
- USCAPCancer Gestalt: Fused Cancer and Biomarkers in Three-Dimensions: A Novel Way to Envision Tumor BiologyIn 106th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP), 2017
- ImNOMacroscopic Anatomy at Microscopic Scale: Registration of Serial Sections of Histopathology for 3DIn Imaging Network Ontario (ImNO), 2017
- ImNOQuantitative Dataset Similarity for Fusing Multi-Institutional Image CollectionsIn Imaging Network Ontario (ImNO), 2017
- SPIEData-driven sampling method for building 3D anatomical models from serial histologyIn 2017 International Society for Optics and Photonics (SPIE),
2016
- USCAPThree-Dimensional Histology: Spatial Envisioning of Pattern of Invasion2016
- SPIEQuantification of tumor morphology via 3D histology: application to oral cavity cancersIn Proc. SPIE 9791, Medical Imaging 2016: Digital Pathology 2016
2015
- JPIBiomedical imaging ontologies: A survey and proposal for future workJournal of Pathology Informatics 2015
- JPIContent-based image retrieval of digitized histopathology in boosted spectrally embedded spacesJournal of Pathology Informatics 2015
2012
- PatentMalignancy Diagnosis Using Content-based Image Retrieval of Tissue Histopathology2012
- TBMEA boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsiesIEEE Transactions on Biomedical Engineering 2012
- BMC BioinfCascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancerBMC Bioinformatics 2012
2011
- BMC BioinfAn active learning based classification strategy for the minority class problem: application to histopathology annotationBMC Bioinformatics, 2011
- CMIGComputer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal dataComputerized Medical Imaging and Graphics, 2011
- ISBICascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histologyIn 2011 IEEE International Symposium on Biomedical Imaging (ISBI), 2011
- ISBIBoosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathologyIn 2011 IEEE International Symposium on Biomedical Imaging (ISBI), 2011
2010
- ISBIComputer-Aided Prognosis: Predicting Patient and Disease Outcome Via Multi-Modal Image AnalysisIn 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI), 2010
- ISBIEvaluation of Effects of JPEG2000 Compression on a Computer-Aided Detection System for Prostate Cancer on Digitized HistopathologyIn 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI), 2010
- ISBIPredicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosisIn 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI), 2010
- CCLMIntegrated diagnostics: a conceptual framework with examplesClinical Chemistry and Laboratory Medicine, 2010
- PRIBConsensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image AnalysisIn Pattern Recognition in Bioinformatics (PRIB), 2010
2009
- MICCAIA Class Balanced Active Learning Scheme That Accounts For Minority Class Problems: Applications To HistopathologyIn 2009 MICCAI Workshop: Optical Tissue Image Analysis in Microscopy, Histopathology and Endoscopy, 2009
- SPIEA boosted distance metric: application to content based image retrieval and classification of digitized histopathologyIn Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 2009
- SPIEWERITAS: Weighted Ensemble of Regional Image Textures for ASM SegmentationIn SPIE 7259, Medical Imaging 2009: Image Processing, 2009
- EBMTowards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imagingExperimental Biology and Medicine (Maywood), 2009
2008
- ISBIAutomated grading of breast cancer histopathology using spectral clustering with textural and architectural image featuresIn 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI), 2008
- ISBIAutomated gland and nuclei segmentation for grading of prostate and breast cancer histopathologyIn 2008 5th IEEE International Symposium on Biomedical Imaging (ISBI), 2008
2007
- MICCAIUsing manifold learning for content-based image retrieval of prostate histopathologyIn MICCAI 2007 Workshop on Content-based Image Retrieval for Biomedical Image Archives, 2007
- ISBIAutomated grading of prostate cancer using architectural and textural image featuresIn 2007 IEEE 4th International Symposium on Biomedical Imaging (ISBI), 2007
- MIAABGland segmentation and computerized gleason grading of prostate histology by integrating low- , high-level and domain specific information.In Proceedings of 2nd Workshop on Microsopic Image Analysis with Applications in Biology (MIAAB), 2007
2006
- MICCAIA boosting cascade for automated detection of prostate cancer from digitized histologyIn Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2006
- EMBSDetecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification ApproachIn 2006 International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2006


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To get started recording magic wand gestures:
- Upload the Magic Wand Capture sketch to an Arduino Nano BLE Sense board
- Connect to the board using the Bluetooth button below.
- Wave the wand to make gestures. They'll be recorded and displayed on the right.
- Review the gestures, add labels by clicking on the '?', and remove mistakes.
- Download the gestures as a JSON data file, ready for model training.


Concrete implementation of point-to-point bi-objective label-setting algorithm. More...
#include <LabelSettingPoint2PointBSP.h>
Public Member Functions | |
| LabelSettingPoint2PointBSP (StarNetwork &net, const TollContainerType &tolls, BoundsCalculatorForBSPBase &bounds, const PathsAdder &pathAdder, DominationByPathCostBase &dominanceRule) | |
| virtual void | calculate (int originIndex, int destIndex, int odIndex) |
| virtual void | createPath (BiObjLabel *labelWithMinCost, std::list< StarLink * > &path) |
| Public Member Functions inherited from Point2PointBiObjShPath | |
| const BiObjLabelContainer & | getLabels () |
Protected Member Functions | |
| virtual bool | stillLookingForLabels (const QueueType &tmpLabels) const |
| virtual bool | isWorthAdding (FPType newTime, TollType newToll, int nodeIndex) const |
| int | getDestIndex () const |
| bool | isWorth (FPType timeLowerBound, TollType tollLowerBound) const |
| virtual void | uploadPaths () |
| virtual void | addLabelToLabelSet (BiObjLabelContainer &labels, int nodeIndex, BiObjLabel *label) |
| Protected Member Functions inherited from Point2PointBiObjShPath | |
| Point2PointBiObjShPath (int nbNodes) | |
| Protected Member Functions inherited from LabelSettingBSPBase | |
| LabelSettingBSPBase (StarNetwork &net, const TollContainerType &tolls) | |
| void | calculateBSP (int originIndex, BiObjLabelContainer &labels) |
| virtual BiObjLabel * | getNextLabelAndRemoveItFromList (QueueType &tmpLabels) |
| virtual QueueType * | initLabels (BiObjLabel *originLabel, BiObjLabelContainer &labels) |
| virtual QueueType * | changeDirectionIfNeeded () |
| virtual BiObjLabelContainer * | changeLabelsIfNeeded (BiObjLabelContainer *labels) |
| virtual StarNode * | beginNode (int owner) const |
| virtual StarLink * | beginLink () const |
| virtual StarLink * | getNextLink () const |
| virtual void | combine (BiObjLabel *newLabel) |
| bool | isNonDominated (FPType newTime, TollType newToll, const BiObjLabelContainer &labels, int linkHead) const |
| void | mergeLabels (BiObjLabel *label, BiObjLabelContainer &labels, int linkHead, QueueType &tmpLabels) |
Protected Attributes | |
| int | currOdIndex_ |
| DominationByPathCostBase & | dominanceRule_ |
| Protected Attributes inherited from Point2PointBiObjShPath | |
| BiObjLabelContainer | labels_ |
| Protected Attributes inherited from LabelSettingBSPBase | |
| StarNetwork & | net_ |
| const TollContainerType & | tolls_ |
Private Attributes | |
| int | destNode_ |
| BoundsCalculatorForBSPBase & | bounds_ |
| const PathsAdder & | pathAdder_ |
Detailed Description
Concrete implementation of point-to-point bi-objective label-setting algorithm.
Constructor & Destructor Documentation
| LabelSettingPoint2PointBSP::LabelSettingPoint2PointBSP | ( | StarNetwork & | net, |
| const TollContainerType & | tolls, | ||
| BoundsCalculatorForBSPBase & | bounds, | ||
| const PathsAdder & | pathAdder, | ||
| DominationByPathCostBase & | dominanceRule | ||
| ) |
- Parameters
-
net network. tolls container with link tolls. bounds objects that knows how to calculate toll and time lower bounds. pathAdder objects that adds paths to the destination node. dominanceRule object that knows how to apply path cost domination rule.
Member Function Documentation
|
protectedvirtual |
Calls addLabelToLabelSet method of dominanceRule_.
Reimplemented from LabelSettingBSPBase.
Reimplemented in BiDirectionalPoint2PointBSP.
|
virtual |
Solves point-to-point bi-objective shortest path problem.
- Parameters
-
originIndex origin index. destIndex destination index. odIndex O-D pair index.
Implements Point2PointBiObjShPath.
|
virtual |
Backtracks the path from a given label labelWithMinCost and stores path in path.
Implements Point2PointBiObjShPath.
Reimplemented in BiDirectionalPoint2PointBSP.
|
protected |
- Returns
- destination index for which algorithm was called most recently.
|
protected |
- Returns
- true if it is worth to keep label with estimated cost vector [timeLowerBound, tollLowerBound], false otherwise.
|
protectedvirtual |
Calculates estimated time and toll for the label with cost vector [newTime, newToll] and calls domination rule, see isWorth().
Reimplemented from LabelSettingBSPBase.
Reimplemented in BiDirectionalPoint2PointBSP.
|
protectedvirtual |
Implements special stopping condition for point-to-point shortest path, see [6].
Reimplemented from LabelSettingBSPBase.
Reimplemented in BiDirectionalPoint2PointBSP.
|
protectedvirtual |
Calls uploadPaths on pathAdder_ object and updateBestKnown on dominanceRule_.
Reimplemented from LabelSettingBSPBase.
The documentation for this class was generated from the following files:
- LabelSettingPoint2PointBSP.h
- LabelSettingPoint2PointBSP.cpp


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Load packages
library(tidyverse)
The correlation coefficient cannot exceed an absolute value of 1
This is well-known. But why is that the case? How can we proof it? This post gives one explanation using the Cauchy-Schwarz inequality.
Here’s one version of the definition of correlation:
\[ r = \frac{\sum(\Delta x \Delta y)}{\sqrt{\sum \Delta x^2} \sqrt{\sum \Delta y^2}} \]
where \(\Delta x\) and \(\Delta y\) are the differences of \(x_i\) and \(\bar{x}\), that is: \(\Delta x_i = x_i - \bar{x}\), and similarly for \(\Delta y_i\).
For the ease of notation, let’s proceed with the understanding that \(x\) stands for the differences, ie \(\Delta x\) (and similarly for \(y\)):
\[ r = \frac{\sum(xy)}{\sqrt{\sum x^2} \sqrt{\sum y^2}} \]
Now, we conjecture that
\[ r = \frac{\sum(xy)}{\sqrt{\sum x^2} \sqrt{\sum y^2}} \le 1 \]
Let’s multiply the equation by the denominator of the LHS:
\[ \sum(xy) \le \sqrt{\sum x^2} \cdot \sqrt{\sum y^2} \]
The Cauchy Schwarz inequality states that
\[ \big| \langle x,y\rangle \big |\leq ||x|| \cdot ||y|| \]
In words, the inner product \(\langle x,y\rangle\) (in its positive variant, ie \(>0\)) is smaller or equal to the product of the vector norms.
Stated differently:
\[ \sum xy \le \sqrt{\sum x^2} \cdot \sqrt{\sum y^2} \]
Which is what we wanted to proof in the first place.
Here’s a quite nice intuition on the Cauchy Schwarz inequality.


We sent you a confirmation email with a link to get you started on Urlinq.
First, click on the school or college you attend below.
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Fire Exit Simulation
Breadth (mt.):
Width (mt.):
Fire Spread Rate (m/s):
Person Speed (m/s):
Visualizer
Find Path
💀 R.I.P 💀
no possible path


Yes, I invite you all to venture a guess about what this number is about
10001000100
and also about what is the word at the end of the sentence in the title.
If you would like some hint, think about what this sentence originally means and apply it to …. yes, of course, our Steem.
I will reveal the answers after this picture, so do not scroll down if you would like to try to answer that by yourself!
First of all, this number is in binary - a little trick to confuse you, but the result looks so beautiful isn’t it? ^^
So, the number in decimal actually is 1092. What about 1092?
If you are as obsessed as I am about Steem’s history, you should have tried to look up the history of blocks by using steemd.com. Let me take you to the genesis block of Steem:
Wow! there is a cake! haha, I think that’s the humor from steemd developers. But, well, besides the cake, there is actually no transaction at all in this block.
Actually, if you keep searching, there isn’t any transaction in these earliest Steem blockchain blocks until…. Yes!
The #1092 block!
There are four transactions included in this first non-empty block which are all pow transactions (I hope you are aware that in Steem blockchain’s early days we had POW as consensus mechanism in addition to dPOS). The first three players that jumped onto the Steem stage are @admin, @dark and @nxt1 - they both found 1-2 pows that grant them the right to be the block producer that produced the subsequent block and earned the associated block reward.
In this case, @dark became the block producer of #1093 (https://steemd.com/b/1093) and earned 1 VESTS as reward and in this 2nd non-empty block, more miners appeared and earned their rights to be the next block producers…
And the block sequence goes on…. until today
Okay! I hope you have already got the answers! So, officially they are …
In the beginning was the number 1092 (0b10001000100) and the number was with pow.
I hope you enjoy this interesting and simple looking back in Steem’s history. ^_^
image - pixabay
This page is synchronized from the post: ‘In the beginning was the number<PHONE_NUMBER>0 and the number was with … ?’


obscurepy.utils package¶
Submodules¶
obscurepy.utils.definition_tracker module¶
- class obscurepy.utils.definition_tracker.DefinitionTracker[source]¶
Bases:
object
Singleton class used to track definitions encountered while traversing the ast
- Attributes:
definitions (dict): A dictionary for storing definitions
- add_class(class_)[source]¶
Adds a class found in the ast to the definitions dictionary along with an obscure name
- Args:
class_ (dict): A dictionary describing the class
- add_function(function)[source]¶
Adds a function found in the ast to the definitions dictionary along with an obscure name
- Args:
function (dict): a dictionary describing the function to be added to the definitions
- add_variable(variable)[source]¶
Adds a variable found in the ast to the definitions dictionary along with an obscure name
- Args:
variable (dict): a dictionary describing the variable to be added to the definitions
- get_class(class_)[source]¶
Gets a class from the definitions dictionary
- Args:
class_ (str): Name of the class to get from the definitions
- Returns:
A dictionary with the information of the class requested
obscurepy.utils.loader module¶
- obscurepy.utils.loader.create_handlers(log, verbose)[source]¶
Dynamically creates handler classes
- Returns:
A list of handlers sorted by execution priority
- obscurepy.utils.loader.load_config(file)[source]¶
Loads yaml config files
- Args:
file (str): File path and name
- Returns:
A dictionary of configuration options
- obscurepy.utils.loader.load_file(file)[source]¶
Loads text from a file
- Args:
file (str): File path and name
- Returns:
The text read from the requested file
- obscurepy.utils.loader.load_files(files)[source]¶
Loads text from multiple files
- Args:
files (list): List of paths to files to be read
- Returns:
A list of the texts read in from each requested file
obscurepy.utils.log module¶
- obscurepy.utils.log.get_file_logger(module_name)[source]¶
Gets a logger that writes to a file using a FileHandler
- Args:
module_name (str): Name of the module requesting the logger
- Returns:
A logger using a FileHandler
obscurepy.utils.name module¶
obscurepy.utils.tree module¶
- obscurepy.utils.tree.add_parents(root)[source]¶
- Helper function to add parent property to ast tree nodes
Credit goes to this answer here: https://stackoverflow.com/a/43311383
- Args:
root (:obj: `ast.Module`): Top level ast node
- obscurepy.utils.tree.get_node_type(node)[source]¶
Simply gets the type of an ast node
- Args:
node (:obj:): ast node
- Returns:
The type of an ast node
- obscurepy.utils.tree.get_parent_class_name(node)[source]¶
Gets the name of the parent node if it is a class
- Args:
node (:obj:): node of which to get the parent class name
- Returns:
The name of the parent class if node is within the scope of a class
- Raises:
Exception if the node is not within the scope of a class
- obscurepy.utils.tree.get_parent_function_name(node)[source]¶
Gets the name of the parent node if it is a function
- Args:
node (:obj:): node of which to get the parent function name
- Returns:
The name of the parent function if node is within the scope of a function
- Raises:
Exception if the node is not within the scope of a function
- obscurepy.utils.tree.has_parent_of_type(node, type_)[source]¶
Simply checks if the parent of a node is of a certain type
- Args:
node (:obj:): an ast node
type_ (type): the type to check the node against
- Returns:
True if node is of type type_, False otherwise
- obscurepy.utils.tree.is_in_call(node)[source]¶
Checks if a node is inside of an ast.Call node
- Args:
node (:obj:): node to check
- Returns:
True if node has a parent of ast.Call, else False
- obscurepy.utils.tree.is_in_class_scope(node)[source]¶
Checks if a node is within the scope of a class
- Args:
node (:obj:): node for which to check the scope
- Returns:
True if the node is within the scope of a class, False otherwise


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WORK EXPERIENCE
May 2014 - Present Resources Coordinator, American University Washington College of Law, Washington, DC
- Design front-end web content for American University Washington College of Law, Office of Career & Professional Development web pages with HTML5, CSS3, jQuery, and Javascript
- Enhance website UI/UX by creating and updating pages through rapid-prototyping, designing for OCPD Dean
- Perform Create, Read, Update, and Delete (CRUD) operations on several student databases (Datatel, Symplicity, etc) & Alumni Mentor Database
- Create engaging and timely social media content through Hootsuite resulting in a 250% increase in Twitter followers and an over 200% increase in monthly WordPress blog views and visitors
- Draft images and messaging content using HTML and inline CSS styles for highly public office campaigns
- Create oral and written reports for marketing, planning, and research for student initiatives
- Collaborate on effective OCPD email outreach to maximize open and clicks per message
- Coordinate with vendors to procure new technology and ensure active subscriptions
- Serve as dedicated liaison to WCL Office of Information Technology, Pence Law Library, Registrar, and Admissions
March 2012 - November 2013Program Assistant, American Political Science Association, Washington, DC
- Created and maintained pages for largest political science association in U.S. using knowledge of HTML and CSS
- Drafted and edited HTML correspondence and newsletters and other class email marketing for program constituents
- Managed APSA Mentorship program including recruitment, matching, surveying, and evaluations
- Increased mentoring matches by 100% through distribution of HTML forms
- Developed and managed annual database for select departmental programs
June 2010 - August 2011Account Analyst, Pennsylvania Higher Education Assistance Agency (PHEAA), State College, PA
- Provided daily assistance to 70+ borrowers by updating account information and advising repayment options
- Analyzed loans to implement most beneficial loan repayment options
Fundraiser, Pennsylvania State University August 2007 - May 2008
- Raised $25,000+ for Pennsylvania State University during fall and spring semesters
SKILLS
- Proficient in Class-Email Marketing, CMS Software, CSM Software, CSS, Html, Microsoft Excel, Outlook, and Word
- Intermediate in AJAX(Html, Xml, JSON), Bootstrap, Javascript, JQuery, LESS and Sass
- Beginner in Adobe CS/CC(Dreamweaver, Illustrator, etc.), AngularJS, Datatel, Lotus Notes, PHP, Python, and SQL
EDUCATION & CERTIFICATIONS
The Pennsylvania State University, University Park, PA
December 2010
Baccalaureate: Sociology
Minor: Information Science and Statistical Analysis
HarvardX: CopyrightX
Lynda.com: CSS: Core Concepts; CSS with LESS and Sass; Excel 2010 Essential Training; Introducing PHP; JavaScript Essential Training; JavaScript for Web Designers; jQuery Essential Training; SQL Essential Training;
INVOLVEMENT
- Member, Pennsylvania State University Black Alumni Reunion, Technology Committee 2016
- Member, Washington Area Legal Recruitment Administrators Association, Media & Communications Committee
- President, Webmaster, Penn State, African American Alumni Association Organization
- Mentor, College Tribe(Former)
- President, Lambda Lambda Chapter of Phi Beta Sigma Fraternity, Inc.(Former)
- Webmaster & Public Relations Coordinator, Multicultural Undergraduate Law Association(Former)


-
I am an Assistant Professor in the Department of Statistics at the University of Florida. My research interests are in multivariate analysis, numerical optimization, tensor-valued data analysis, and more generally, statistical and machine learning. I am also interested in applications in statistical genetics and genomics. To discuss collaborations, potential student projects, or matters related to coursework, please visit my office (202 Griffin-Floyd) or contact me by email (amolstad@ufl.edu).
Recent and upcoming talks:
- December 14, 2019: Conf. on Computational and Methodological Statistics, in London, UK.
- May 30, 2019: Symposium on Data Science and Statistics, in Bellevue, WA.
- April 4, 2019: Seminar, Department of Biostatistics, University of Washington, in Seattle WA.


TechnoCratic Info Solutions
Welcome to Technocratic Infotec Solutions
TechnoCratic Info Solutions is an Infrastructure and Cloud Service provider.
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--- title: Hello, this is Jagaimo One layout: page ---
Welcome to Jagaimo One, a quick & dirty Jekyll theme by Jason Truesdell.
Here's what a post looks like


Package com.jme.input
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Interface Summary Interface Description Input Abstract interface for an input device.JoyInput A specific API for interfacing with joysticks or gaming controllers.Joystick A joystick represents a single joystick that is installed in the system.JoystickAxis Represents a single axis of a Joystick.JoystickButton Represents a single button of a Joystick.JoystickConnectionListener Listens for the state of a joystick connection.KeyInput A specific API for interfacing with the keyboard.MouseInput A specific API for interfacing with the mouse.RawInputListener An interface used for receiving raw input from devices.SensorJoystickAxis Represents a joystick axis based on an external sensor (ie.SoftTextDialogInput TouchInput A specific API for interfacing with smartphone touch devices -
Class Summary Class Description AbstractJoystick A joystick represents a single joystick that is installed in the system.CameraInput This class defines all the constants used in camera handlers for registration with the inputManagerChaseCamera A camera that follows a spatial and can turn around it by dragging the mouseDefaultJoystickAxis Default implementation of the JoystickAxis interface.DefaultJoystickButton Default implementation of the JoystickButton interface.FlyByCamera A first-person camera controller.InputManager TheInputManager
is responsible for converting input events received from the Key, Mouse and Joy Input implementations into an abstract, input device independent representation that user code can use.JoystickCompatibilityMappings Provides compatibility mapping to different joysticks that both report their name in a unique way and require remapping to achieve a proper default layout.KeyNames


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Nexus in India
November 20, 2013
| Nexus 5 |
Are you a Google lover?
Do you Live in India ?
Do you want Google Gadgets around you?
If your answer for all the above question is Yes then Move forward and start reading.
India is the biggest market for Android. Here only there are many mobile user and particularly there are lot of android users. People here love Google products for lot of reasons. All here were waiting for these two mobiles most of them used to ask their friends and relative from US to get this.
| Nexus 7 |
The Flagship mobiles by Google in collaboration LG announced Nexus mobiles few days back. And Nexus 5 is with all new Android 4.4 kitkat. On knowing this everyone went crazy to buy this.And now the wait it over.
Ya both the mobiles are now available for India.
Nexus 7
Powerful, portable and made for what matter to you. It is available in Black color only.
Enjoy using it.


17 successful people who you might not know actually come from Huyton
From musicians and sports stars to political figures and comedians, they all have strong ties to Huyton
by Jess MolyneuxHuyton, like many towns across Merseyside, has many talented and successful people to celebrate.
Whether you were born, brought up in or simply have a unique link with the town, Huyton boats a big list of influential and interesting people throughout its history.
From musicians and sports stars to political figures and comedians, they all have strong ties to Huyton.
The list below isn't intended to be comprehensive - we've selected people from a range of fields. But if there is someone you feel we should have included, please let us know in the comments section .
17. Sir Rex Harrison
Sir Rex Harrison, born in Huyton, is well-known for his Oscar-winning role as Professor Higgins in My Fair Lady and for starring in the 1963 film Cleopatra, playing Julius Caesar.
The son of a cotton broker, Rex's film-star career spanned almost six decades.
In his early years, he lived on Tarbock Road in a property known as Derry Lodge.
16. Peter Reid
Bona fide football legend Peter Reid joined Everton FC in the early 1980s after playing for Bolton Wanderers.
The Huyton-born midfielder, who also played for England, went on to win two league titles with the Blues and was named the Professional Footballer's Association (PFA) Footballer of the year in 1985.
Reid also played for Huyton Boys football team in his early years.
15. Alicya Eyo
Alicya Eyo is well-known for her roles as Ruby Haswell in Emmerdale and Denny Blood in ITV's Bad Girls.
Born in Huyton, the actress and director grew up in Toxteth and moved to London in later years.
Alicya has also made appearances in The Bill, Casualty, Silent Witness and Waterloo Road to name a few.
14. Phil Redmond
Writer and TV producer Phil Redmond set up Mersey Television in the early 1980s and has created some of Britain's longest-running dramas.
Creator of iconic TV programmes such as Brookside, Grange Hill and Hollyoaks, Phil was born and grew up in Huyton.
In 2018, he received the City's highest honour, being awarded the Freedom of Liverpool.
13. Steven Gerrard
Steven Gerrard is one of Merseyside's most celebrated footballers.
Now managing Scottish football team Rangers, Gerrard lived on the Bluebell Estate and attended St. Michael's Primary, now Huyton with Roby CE.
The former Liverpool FC and England captain famously inspired Liverpool to their unforgettable Champions League fightback in Istanbul in 2005 as well as helping the club win two FA Cups and three League Cups.
12. Stuart Sutcliffe
True Beatles fans will know the band's original line-up and about bassist Stuart Sutcliffe , who was part of their famous Hamburg era.
Born in Edinburgh, Stuart spent his early years in Huyton and is buried in Huyton Parish Church Cemetary.
Throughout his childhood, the family lived on Sedburg Grove, St Anne's Road and Sandiway and Stuart went to Parkview Primary School, as well as attending St Gabriel's Church where he was head chorister in the choir, aged nine.
11. Carol Decker
Carol Decker, from Huyton, is best known for being the lead vocalist for pop group T-Pau, who rose to fame in the late 1980s.
The pop icon is known singing hits such as China In Your Hand, Valentine and Heart and Soul.
Carol has also ventured into solo projects over the years.
10. Harold Wilson
Former Labour Party leader and Prime Minister Harold Wilson was born in Huddersfield in 1916 - but has strong ties to Huyton.
From 1964 to 1970 - and again from 1974 to 1976 - Harold Wilson was not only the Prime Minister of the United Kingdom, he was also the MP for Huyton.
His links to Huyton continue to be celebrated, with a statue of him in Huyton Village centre being one example of strong legacy in the area.
9. John McCabe
Huyton-born John McCabe is known for his successful and international career as a composer and pianist.
Discovering his talent at a young age, John was a pupil at the Liverpool Institute at the same time as Paul McCartney in the 1950s and in later years produced famous large scale works - including seven symphonies, 15 concertante works and eight ballet scores.
He was made a CBE for his services to music in 1983 and passed away in 2015.
8. Bert Trautmann
Former professional footballer Bert Trautmann, originally from Germany, has a unique link to the town.
Known for being a Manchester City goalkeeper and even playing with a broken neck in the 1956 FA cup final, Bert spent time as an inmate in Huyton's Prisoner of War camp off Longview Lane prior to his football career.
Trautmann, who passed away in 2013, is said to have worked in bomb disposal whilst in the camp.
7. Sally Morgan, Baroness Morgan of Huyton
British politician Sally Morgan was made a life peer as Baroness Morgan of Huyton in 2001.
Born and attending school in Liverpool, her background in politics and education spans decades, from serving as a board member of the Olympic Delivery Authority to being the Chair of Ofsted.
The Master of Fitzwilliam College, Cambridge, was also Political Secretary to the Prime Minister from 1997 to 2001 and was later appointed Minister for Women and Equalities.
6. Freddie Starr
Rising to fame in the 1970s after appearing on TV show Opportunity Knocks, comedian Freddie Starr, from Huyton, went on to star in a number of TV and game shows throughout his career.
From the Royal Variety Performance to being a contestant on ITV's I'm a Celebrity Get Me Out Of Here, the comic and entertainer went to Huyton Secondary Modern School.
Freddie passed away earlier this year at the age of 76.
5. Alan Bleasdale
Acclaimed playwright and screenwriter Alan Bleasdale is renowned for his social realist works depicting lives of ordinary people.
Known for popular TV series' such as Boys From The Blackstuff and The Sinking of the Laconia, the BAFTA winner has written for stage and radio as well as the screen.
Born and raised in Huyton, Alan attended St. Aloysius RC Infant and Junior Schools and in his previous career as a teacher managed Huyton Boys football team.
4. Joyce Baker
Formed at the Vernons football pools company in the 1950s, The Vernons Girls ensemble were a huge part of the Liverpool music scene.
Joyce Baker, from Huyton, was one of the 16 members of the vocal-group who appeared on ITV pop show Oh Boy! and later married musician Marty Wilde.
The pair have four children, singers Kim Wilde, Ricky Wilde and Roxanne Wilde and youngest son Marty Jnr.
3. Lee Mavers
Formed in Liverpool in the early 1980s, rock band The La's are best known for hit single There She Goes.
Fronted by singer and guitarist Lee Mavers, from Huyton, the band was signed to Go!Discs in 1987.
The group have also briefly reformed over the years.
2. Stan Boardman
Comedian Stan Boardman, from Huyton, rose to fame after winning a holiday camp competition.
The veteran comic went on to appear on multiple successful TV shows, such as Opportunity Knocks, The Comedians and Runaround.
Stan also attended school on Rupert Road.
Follow Knowsley Community Reporter Jess Molyneux on social media
Follow Jess on Twitter here
You can read more of her stories here
Email her on<EMAIL_ADDRESS>Or contact Jess on Facebook if you want to share any news, stories or updates.
Keep up to date with the latest breaking news here
Like the ECHO Facebook page and follow @livechonews on Twitter
1. Barbara Pym
20th century Author Barbara Pym is known for novels such as Excellent Women and Quartet in Autumn.
The Booker prize nominee was educated in Huyton as a young girl before her blossoming career, attending Huyton College .
Originally from Shropshire, Barbara passed away in 1980.


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ColorPatternTracker
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Public Member Functions | |
| void | initializeCoords () |
| long | cameraToTexture (SurfaceTexture mSTexture, Point camera_res) |
| void | renderFromTexture (int displayTexture, Point display_dim) |
| SurfaceTexture | initTex (Point camera_res) |
| void | deleteTex () |
Public Attributes | |
| int [] | hTex |
| int [] | glTextures |
| IntBuffer | targetFramebuffer |
Static Private Member Functions | |
| static int | loadShader (String vertex_shader, String fragment_shader) |
Private Attributes | |
| FloatBuffer | vertexCoord |
| FloatBuffer | cameraTexCoord |
| FloatBuffer | openclTexCoord |
| int | hProgram |
| int | displayTextureProgram |
| final String | vss |
| final String | camera_fss |
| final String | texture_fss |
The Class ShaderManager.
Definition at line 18 of file ShaderManager.java.
| long patterntracker.camera.ShaderManager.cameraToTexture | ( | SurfaceTexture | mSTexture, |
| Point | camera_res | ||
| ) |
Get texture from Camera.
| mSTexture | the camera surface texture |
| camera_res | the camera resolution |
Definition at line 99 of file ShaderManager.java.
| void patterntracker.camera.ShaderManager.deleteTex | ( | ) |
Deletes textures.
Definition at line 248 of file ShaderManager.java.
| void patterntracker.camera.ShaderManager.initializeCoords | ( | ) |
Initialize texture coordinates.
Definition at line 63 of file ShaderManager.java.
| SurfaceTexture patterntracker.camera.ShaderManager.initTex | ( | Point | camera_res | ) |
Initializes the textures.
| camera_res | the camera resolution |
Definition at line 168 of file ShaderManager.java.
|
staticprivate |
Loads shaders.
| vertex_shader | the vertex shader |
| fragment_shader | the fragment shader |
Definition at line 213 of file ShaderManager.java.
| void patterntracker.camera.ShaderManager.renderFromTexture | ( | int | displayTexture, |
| Point | display_dim | ||
| ) |
Renders screen from texture.
| displayTexture | the display texture |
| display_dim | the display dimension |
Definition at line 140 of file ShaderManager.java.
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private |
The camera texture shader source.
Definition at line 42 of file ShaderManager.java.
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private |
The camera texture coordinates.
Definition at line 25 of file ShaderManager.java.
|
private |
The shader program to display texture.
Definition at line 29 of file ShaderManager.java.
| int [] patterntracker.camera.ShaderManager.glTextures |
The input and output opengl textures.
Definition at line 21 of file ShaderManager.java.
|
private |
The shader program to get camera texture.
Definition at line 28 of file ShaderManager.java.
| int [] patterntracker.camera.ShaderManager.hTex |
The texture to store camera image.
Definition at line 20 of file ShaderManager.java.
|
private |
The opencl texture coordinates.
Definition at line 26 of file ShaderManager.java.
| IntBuffer patterntracker.camera.ShaderManager.targetFramebuffer |
The target framebuffer.
Definition at line 22 of file ShaderManager.java.
|
private |
The texture shader source.
Definition at line 52 of file ShaderManager.java.
|
private |
The vertex coordinates.
Definition at line 24 of file ShaderManager.java.
|
private |
The vertex shader source.
Definition at line 32 of file ShaderManager.java.


The idea that became a reality...
Fed up one day with his job in the corporate world, Pat went out fishing. He took a 6 pack and a pre-rolled with him to forget all the negativity for the day. And so he went, getting drunk and high catching his favorite fish, salmon. After hours of relaxing, he got hungry and all he had was his caught salmon. He thought, "Man, you know what would be amazing?... Salmon cookies! Hell Yea!"
And so Pat thought his brilliant stoner idea would land him millions. He quit his job the next day and opened up his first store in Seattle. Pat's now has stores internationally and he makes sure to party in every location.
Pat, the family man...
Ever since Pat was a young man, he wanted nothing more than to party. This family to the left is fake, actually the people are real. They were the first taste-testers of the original salmon cookies. Unfortunately for them, they caught salmonella (go figure) and died. He leaves this photo up to a reminder to all those that want to try salmon cookies, "you crazy!"
Pat can be seen most days at a bar near one of his many locations. If you see him around, buy him a drink - he will give you a coupon for a free dozen of his salmon cookies.


Instantaneous voting on anything
Code:
You are voting as:
Rank options below by order of preference (i.e., 1 being most preferred) and click 'Ballotize.it' to vote
{{ userrankvote.errorMsg }}


Navigation 1
Link 1
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Link 3
Form 1
Text 1:
Region 1
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Landmark 15: Form element contains only region landmarks
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The mission of the Coalition for the Barbados Association of Central Florida, alias CFLBajans, is to encourage networking and to promote kinship among Barbadians (Bajans) living in Central Florida. Our association maintains avenues of communication between Barbadians in Central Florida and their homeland Barbados and fosters educational, cultural and business operations to further the joint interests of Barbadians in both regions in an open, friendly environment.
CFLBajans are an active group! Find out what we are doing each month and learn more about our annual fund-raising events. Upcoming events are outlined below and the full calendar is available. The sights and scenes from our recently concluded events are also viewable. Come and join us soon!
The Taste of Barbados event is an annual fundraiser where XXX.
St. John Episcopal Church
March 25th, 2017 @ 5:00pm - 10:00pm
Come to the beach for a day of fun! We provide the buses and treats. Buses leave the Caribbean Store at 8am SHARP!
Fort De Sota, Tampa, FL
Caribbean Store, Orlando, FL
May 13th, 2017 @ 8:00am - 8:00pm
Assist the Second Harvest Food Bank of Central Florida with stamping out hunger in our communities!
411 Mercy Dr, Orlando, FL 32805
May 27th, 2017 @ 8:00am - noon
The Coalition for the Barbados Association of Central Florida, alias CFLBajans, maintains a full
*...


First Distribution and Veeam – an African partnership
by First DistributionThrough First Distribution’s extensive African footprint, Veeam is now proudly available across SADC countries, as well as Central, East and West African countries.
This means partners and their customers now have access to Veeam’s world-class backup, disaster recovery and data management software across Africa, with immediate access to software and support.
Winston Spagnoletti, Brand Manager for Veeam at First Distribution, says First Distribution’s expansion into East, West and Central Africa will allow partners to leverage Veeam and Veeam’s integration with their alliance partners.
“What makes the First Distribution Veeam offering stand out is the partnership with complementary brands such as AWS, Microsoft, Lenovo, Nutanix, etc. So, partners already have the infrastructure in place to offer world-class on-premises and cloud solutions to their clients.”
Veeam is available in the following countries:
West Africa
Angola, Benin, Burkina Faso, Cabo Verde/Cape Verde, Côte d'Ivoire/Ivory Coast, The Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal Sierra Leone, and Togo.
East Africa
Burundi, Djibouti, Eritrea, Ethiopia, Kenya, Madagascar, Malawi, Mauritius, Mozambique, Rwanda, Seychelles, Somalia, South Sudan, Tanzania, Uganda, Zambia, and Zimbabwe.
Central Africa
Cameroon, Central African Republic (CAR), Chad, Democratic Republic of the Congo, Republic of the Congo, Equatorial Guinea, Gabon, Rwanda, and Sao Tome and Principe.
Southern Africa
Botswana, Lesotho, Namibia, South Africa, and Swaziland.
The First Distribution Veeam offering
Veeam recognises the new challenges companies across the globe face in enabling the Always-On Enterprise, a business that must operate 24/7 365. To address this, Veeam has pioneered a new market of availability for the Always-On Enterprise by helping organisations meet recovery time and point objectives (RTPO) of less than 15 minutes for all applications and data.
Veeam Availability Suite, which includes Veeam Backup & Replication, leverages virtualisation, storage and cloud technologies that enable the modern data centre to help organisations save time, mitigate risks and dramatically reduce capital and operational costs, while always supporting the current and future business goals of Veeam customers.


'Paulie'
A movie review by Walter Frith
Member of the 'Internet Movie Critics Association' http://www.geocities.com/Hollywood/Studio/5713/index.html
When 'Babe' came out in 1995, it surprised critics with its stunning quantity of special effects which enabled farm animals to talk by simulating lip movement through computers and the magic went farther than that by combining mechanical creatures with real ones. Seven Academy Award nominations were inspired by that film (including Best Picture) and it won one for Visual Effects. No doubt inspired by the antics of 'Babe', 'Paulie' is a clever little film in its own right.
No doubt cynics will attack it for its simplicity, forgetting that children are the main audience and many will trash the film as a direct copy of 'Babe', when in fact it stands on its own merit by using primarily one animal to carry the film instead of many. There are a couple of brief scenes involving a few talking creatures, but one character dominates in the end.
Paulie is a little talking parrot. All parrots can talk, you say? Maybe, but how many can carry a conversation, think like and concoct their own words like a human? Only in the movies. The first time we see Paulie is in the basement of a scientific institute where he sort of befriends a janitor, a Russian immigrant named Misha (Tony Shalhoub). They talk and Paulie tells his story of how he ended up there in the first place. He comes in to the world and is cared for by a little girl named Marie, a child with a serious speech impediment. The girl's parents begin to worry that the little girl is starting to confuse the fantasy world with the real one, after she claims the bird can talk like a human and the parents send the bird away breaking Marie's heart. Paulie one day hopes to be reunited with her.
Paulie ends up in a New York City pawn shop whose owner (Buddy Hackett) puts a high price on selling Paulie and he is eventually cared for by a kindly old lady (Gena Rowlands) who takes Paulie to find Marie in Los Angeles. Paulie eventually pushes himself to fly after convincing himself for ages that he couldn't. He ends up in Los Angeles and befriends a Spanish musician (Cheech Marin) and Paulie ends up working for a con man (Jay Mohr), but later realizes that what he's doing is wrong. The interesting thing is that Mohr, in addition to playing the con man, also provides Paulie's voice in the film.
Kids were extremely well behaved at the matinee performance which I attended and that has to say something about the quality of the film. No animal makes for better entertainment in movie jokes than a parrot. I'm thinking of the peg legged Peter Sellers in one of the Pink Panther movies where the inflatable bird he had on the shoulder of his pirate costume popped off after being over inflated and the scene where a parrot laughs at Clouseau and goes to the bathroom on his shoulder after Clouseau sticks his finger in a light bulb socket and feels the effects of lethal electrocution.
This is such a simple movie that I don't want to say too much and ruin it for kids who may be reading this except to say that 'Paulie' is a truly touching film that entertained me more than the most recent heart warming animal feature I saw last year, 'Air Bud', and if you thought 3.5 out of 5 was a high rating for 'Air Bud', look out cynics, 'Paulie' is better.
OUT OF 5 > * * * *
Visit FILM FOLLOW-UP by Walter Frith http://home.netinc.ca/~wfrith/movies.htm
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% extends 'base.html' %} {% load qf_extras %} {% block main %}
Publish event analyses? Unpublished events may be removed after 48 hours. Published events will be publicly visible, linked to your random member ID – and you'll have a link you can share with others!
Data used to generate these graphs is also made publicly available (up to six weeks before & after the event). This enables others to develop and contribute improved analyses and visualizations. ✨
Published event. You can still edit notes or delete this event. Thank you for sharing! 💖
Use this URL to share with others: https://quantifiedflu.org{% url 'retrospective:view_event' object.id %}
Certainty: {{ object.get_certainty_display }} ({{ object.certainty }}/5)
Notes: {{ object.notes }}
{% if is_owner %} {% if not object.published %} {% endif %} {# Explanations if analyses aren't available. #} {% if not object.retrospectiveeventanalysis_set.all %} {% if request.user.openhumansmember|missing_sources|length == 3 %}
No connected data? This event appears to have no associated analyses.
Have you connected a data source?
(Return to the home page to do this.)
If you're having trouble connecting a data source, please let us know at support@openhumans.org!


Public Member Functions | |
Destructor | |
| virtual | ~PSVIHandler () |
The PSVI handler interface | |
| virtual void | handleElementPSVI (const XMLCh *const localName, const XMLCh *const uri, PSVIElement *elementInfo)=0 |
| Receive notification of the PSVI properties of an element. | |
| virtual void | handlePartialElementPSVI (const XMLCh *const localName, const XMLCh *const uri, PSVIElement *elementInfo) |
| Receive notification of partial PSVI properties of an element. | |
| virtual void | handleAttributesPSVI (const XMLCh *const localName, const XMLCh *const uri, PSVIAttributeList *psviAttributes)=0 |
| Enables PSVI information about attributes to be passed back to the application. | |
Protected Member Functions | |
| PSVIHandler () |
| virtual PSVIHandler::~PSVIHandler | ( | ) | [virtual] |
| PSVIHandler::PSVIHandler | ( | ) | [protected] |
| virtual void PSVIHandler::handleElementPSVI | ( | const XMLCh *const | localName, | |
| const XMLCh *const | uri, | |||
| PSVIElement * | elementInfo | |||
| ) | [pure virtual] |
Receive notification of the PSVI properties of an element.
The scanner will issue this call after the XMLDocumentHandler endElement call. Since the scanner will issue the psviAttributes call immediately after reading the start tag of an element, all element content will be effectively bracketed by these two calls.
| localName | The name of the element whose end tag was just parsed. | |
| uri | The namespace to which the element is bound | |
| elementInfo | Object containing the element's PSVI properties |
Implemented in AbstractDOMParser.
| void PSVIHandler::handlePartialElementPSVI | ( | const XMLCh *const | localName, | |
| const XMLCh *const | uri, | |||
| PSVIElement * | elementInfo | |||
| ) | [virtual] |
Receive notification of partial PSVI properties of an element.
This callback is made right after the psviAttributes call for non-empty element.
The PSVIElement passed in has all fields properly set and it can be safely accessed the same way as the one passed in handleElementPSVI. However, fields listed below always have default values.
getValidity() PSVIItem::VALIDITY_NOTKNOWN getValidationAttemped() PSVIItem::VALIDATION_NONE getMemberTypeDefinition() 0 getSchemaNormalizedValue() 0 getCanonicalRepresentation() 0 getNotationDeclaration() 0
| localName | The name of the element upon which start tag these attributes were encountered. | |
| uri | The namespace to which the element is bound | |
| elementInfo | Object containing the element's partial PSVI properties |
Reimplemented in AbstractDOMParser.
| virtual void PSVIHandler::handleAttributesPSVI | ( | const XMLCh *const | localName, | |
| const XMLCh *const | uri, | |||
| PSVIAttributeList * | psviAttributes | |||
| ) | [pure virtual] |
Enables PSVI information about attributes to be passed back to the application.
This callback will be made on *all* elements; on elements with no attributes, the final parameter will be null.
| localName | The name of the element upon which start tag these attributes were encountered. | |
| uri | The namespace to which the element is bound | |
| psviAttributes | Object containing the attributes' PSVI properties with information to identify them. |
Implemented in AbstractDOMParser.


|
Objective-C++ Preprocessor
5.0 with ARC & GC
C++ classes to enhance syntax and manage reference counting.
|
#include <objstr.h>
Public Member Functions | |
| oo_inline | OOScan (cOOString input) |
| oo_inline OOString | operator& (NSString *str) |
| oo_inline OOString | operator| (NSString *str) |
| oo_inline OOScan & | operator>> (double &d) |
| oo_inline OOScan & | operator>> (float &f) |
| oo_inline OOScan & | operator>> (int &i) |
Private Attributes | |
| OOReference< NSScanner * > | scan |
A fledgling wrapper for NSScanner which didn't really pan out...
|
private |


This specification defines events for text and related input and provides relavant contextual information for each event. This specification builds on the Document Object Model Events Level 3.
This documen describes 2 events- Input (which already exists and is being extended) and beforeInput (which is newly defined here). The goal of these events is to allow authors to understand and/or override default input behavior both before and after input occurs.
Input events are sent when before (beforeInputEvent) and after (inputEvent) a user attempts to input anything into the markup. This includes characters, deletions, and other related input.
inputType
holds the type of input.
Allowed values include replaceText, insertNewline, formatContent, deleteContent, undo, redo. During initialization,
The user agent is responsible for populating this field as follows:
The un-initialized value of this attribute
MUST be ""
(the empty string).
If the inputType is additive (replaceText, for instance), data
holds the value that would be inserted.
The value depends on the inputType, such as plain text for replaceText. It is described in the default behavior section.
The un-initialized value of this attribute
MUST be ""
NULL.
true
if the input event occurs as part of a composition session, i.e., after a
compositionstart
event and before the corresponding
compositionend
event.
The un-initialized value of this
attribute MUST be false
.
the Range in the document that is affected by this event. Typically the primary Range on the document's Selection.
Initializes the data
attribute of the InputEvent object.
Initializes the isComposing
attribute of the InputEvent object.
The input events defined in this specification MUST occur in a set order relative to one another.
| 1. | beforeinput |
|
| DOM element is updated | ||
| 2. | input |
The Input event types are listed below.
beforeinput
| Type | beforeinput |
|---|---|
| Interface | InputEvent |
| Sync / Async | Sync |
| Bubbles | Yes |
| Trusted Targets | Element (specifically: control types such as HTMLInputElement , etc.) or any Element with
contenteditable attribute enabled. |
| Cancelable | Yes |
| Default action | Update the DOM according to the algorithms below. |
| Context (trusted events) |
|
A user agent MUST dispatch this event when the user has attempted input in an element that accepts input. It does not necessarily mean the user agent will then update the DOM.
input
| Type | input |
|---|---|
| Interface | InputEvent |
| Sync / Async | Sync |
| Bubbles | Yes |
| Trusted Targets | Element (specifically: control types such as HTMLInputElement , etc.) or any Element with
contenteditable attribute enabled. |
| Cancelable | No |
| Default action | None |
| Context (trusted events) |
|
A user agent MUST dispatch this event immediately after the DOM has been updated.
During the composition session, the
compositionupdate
MUST be dispatched
before the beforeinput
and input
events are sent.
| Event Name | Notes | |
|---|---|---|
| 1. | compositionupdate |
|
| 2. | beforeinput |
|
| Any DOM updates occur at this point. | ||
| 3. | input |
Note: Most IMEs do not support canceling updates during a composition session.
When a composition session is finished, any
beforeinput
and
input
events MUST be dispatched after the
compositionend
event.
| Event Name | Notes | |
|---|---|---|
| 1. | compositionend |
|
| 2. | beforeinput |
Canceling this will prevent any DOM update and therefore the
input event. |
| Any DOM updates occur at this point. | ||
| 3. | input |
Note: Some IMEs update the DOM before the
compositionend
event is dispatched.
In this case, canceling the beforeinput
event will have no effect (i.e., the input
event will still fire).
The default action of a given beforeinput event in an element with a given value of contentEditable is given below. Note that if the value of contentEditable is false, there should be no beforeInput event at all, so there this algorithm does not need to include that possibility.


| Rank | Year | Movie | WorldWide Box Office Income | Genre | Rating |
|---|---|---|---|---|---|
| 1 | 2019 | Avengers: Endgame |
$2,797,800,564 | Fanasty/Sc-Fi | PG-13 |
| 2 | 2009 | Avatar |
$2,788,701,337 | Fanasty/ Sc-Fi | PG-13 |
| 3 | 1997 | Titanic |
$2,208,208,395 | Drama/ Diaster | PG-13 |
| 4 | 2015 | Star Wars Ep. VII: The Force Awakens |
$2,068,223,624 | Fanasty/Sc-Fi | PG-13 |
| 5 | 2018 | Avengers: Infinity War |
$2,048,359,754 | Fanasty/Sc-Fi | PG-13 |
| 6 | 2015 | Jurassic World |
$1,670,400,637 | Sc-Fi/Thriller | PG-13 |
| 7 | 2019 | The Lion King |
$1,656,943,394 | Drama/Music | PG |
| 8 | 2012 | The Avengers |
$1,518,812,988 | Fanasty/Sc-Fi | PG-13 |
| 9 | 2015 | Furious 7 |
$1,518,722,794 | Mystery/Crime | PG-13 |
| 10 | 2019 | Frozen II |
$1,449,828,917 | Drama/Fanasty | PG |


Rare portrait of teenage Mozart to be auctioned in Paris
PARIS (Reuters) - A rare portrait of Austrian composer Wolfgang Amadeus Mozart will be sold by British auction house Christie’s on Nov. 27 in Paris at an estimated price of between 800,000 euros and 1.2 million euros ($882,000-$1.32 million).
The artwork, one of four portraits painted during the composer’s lifetime and still part of a private collection, was painted in 1770. It has been attributed to Italian painter Giambettino Cignaroli.
“It is one of the very rare paintings for which we know about the history since the beginning,” Astrid Centner-d’Oultremont, head of the Old Masters department at Christie’s Paris, told Reuters TV in an interview.

At the time of the painting, Mozart was traveling in Italy to continue his artistic education, giving concerts all around the country.
The portrait was ordered by Venetian receiver-general Pietro Lugiati some days after an organ concert Mozart performed in Verona in January 1770.
“Pietro Lugiati was very impressed by the talent of the young Mozart when he was traveling in Italy with his father,” Centner-d’Oultremont said.
Mozart was born in 1756 in Salzburg, in Austria, and died in 1791 at the age of 35.


Information will be posted here regarding our current reading goals.
We are curretly planning to finish this book by January 26th and discuss it at 12:15 PM EST


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From:Botello To:Derr; Geaccone Sent:2017-01-11T04:37:36.0000000Z Subject:Corp. Costs for 2002
Dawn,
In the files you have sent for the 2002 Corp. Costs you have a column for ETS HQ. It appears that there are several companies' allocations in that one column. We will need to see the Co. 366 costs broken out from these other companies. For example, if you have included costs for Co. 1202 and Co. 1195, these need to be separated out in detail. Both Co. 1202 and Co. 1195 have employees. Co. 366 allocates their costs and we will not know the dollars that belong to these other companies without a breakout in your spreadsheet. Thank you for your assistance. Should you have any questions please call.
Mary
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
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California