Reports tail recursion, that is when a method calls itself
as its last action before returning. Tail recursion can always be replaced by looping, which will be considerably faster.
Some JVMs perform this optimization, while others do not. Thus, tail recursive solutions may have considerably different
performance characteristics on different virtual machines.
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Select a file :
(Only for Analyze) Number of bins:
(Only for Analyze) Number of bins or width of bins
See the documentation for usage details.


29 May 2012 - The Ministry of Health (MoH) of the Kingdom of Cambodia has announced a confirmed case of human infection with avian influenza A (H5N1) virus.
The case was a 10 years old female from Kampong Speu Province. She developed symptoms on 20 May 2012 and after initial treatment at the village was eventually admitted to the hospital on 25 May with symptoms of fever and shortness of breath. Infection with avian influenza A(H5N1) virus was confirmed by Institute Pasteur du Cambodge on 26 May 2012, however, despite intensive medical care, she died on 27 May 2012.

The girl is the twenty-first person in Cambodia to become infected with A(H5N1) virus and 19 have died from the disease.
The National and local Rapid Response Teams (RRT) are conducting outbreak investigation and response following the national protocol. In addition, a public health education campaign is being conducted in the village to inform families on how to protect themselves from contracting avian influenza.


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508-548-0116
<EMAIL_ADDRESS>25 Steeple Street
Mashpee Commons, MA 02649
See Map
Monday - Saturday
10:00am - 6:00pm
Sunday
11:00AM - 5:00PM
Fun, fashion and fresh air in a charming New England village setting.


{% endif %}
{% if unit == 'files' %}
{% include "console/pages/settings/files/files.html" with
model='samples'
model_singular='sample'
organizations=organizations
section=section
user=user
%}
{% elif unit == 'logs' %}
{% include "console/pages/settings/logs/logs.html" with
model='samples'
model_singular='sample'
organizations=organizations
section=section
user=user
%}
{% elif unit == 'review' %}
{% include "console/pages/samples/includes/review.html" %}
{% elif unit == 'certificate' %}
{% include "console/pages/samples/includes/certificate.html" %}
{% else %}
{% include "console/components/forms/form_title.html" with
abbreviation=data_model.abbreviation
id=id
model='samples'
model_singular='sample'
description="Manage samples for projects commissioned by your contacts."
options=True
export=id
%}
{% include "console/components/tables/simple_form_table.html" with
model="measurements"
model_singular="measurement"
description="Manage measurements that have been taken for this sample."
abbreviation="MT"
parent_model="samples"
parent_model_singular="sample"
parent_id=section
remove_only=True
select=False
%}
{% include "console/components/tables/simple_form_table.html" with
model="results"
model_singular="result"
description="Manage results that have been calculated for this sample."
abbreviation="R"
parent_model="samples"
parent_model_singular="sample"
parent_id=section
select=True
%}
{% include "console/components/modals/selection_dialog.html" with
model="results"
%}
{% if id and id != 'new' %}
{% include "console/components/forms/delete_option.html" with
id=id
model="samples"
model_singular="sample"
%}
{% endif %}
{% endif %}
{% endblock console_body %}
{% block console_js %}
{% endblock console_js %}


The Thoughtful Biometrics Conference
This interactive conference will be some time in January. Dates TBD (please let us know if there are days we should avoid)
Invitation or why we need this event:
The Thoughtful Biometrics conference is creating a space to dialogue about critical emerging issues surrounding biometric and digital identity technologies.
Biometrics technology is being used in a wide range of contexts and there in this range of existing and potential uses, there are many questions about the ethical and socially good uses.
Questions include:
- How do they work?
- How are they being used?
- What are the dangers of their use?
- What are the appropriate and even good uses?
Our society is complex. The systems within it are complex and built by networks of professionals each with their own deep technical expertise.
One of the challenges we face now is that these professionals are so deep in their own fields they rarely talk to those in neighboring communities who are technologies all come together in these systems.
We note that there are discussions happening between these professionals but usually within companies and small groups bubbles that have never been open or include more individuals in an open and transparent discussion.
Our hope is this event creates more cross-pollination and exploration of the technologies along with the social and policy implications of them. We invite discussion about tangible risks/threat models and all levels from the micro to the macro systems.
We want to expand the conversation, inclusive to support “hearing” the voices at the edges.
We welcome the participation of people who ask serious questions about these systems.
We also want to invite those active in the industry who want to respond in a meaningful way to thoughtful criticism. Our vision for the conference is inspired by our ongoing participation in
This conference is not to “sell” biometrics products like the Connect:ID Conference or K(n)ow Identity Conference by OWI.
We have several starting axioms for this event:
- Biometrics are a technology that is being used and will not be vanishing.
- There are a range of uses for these technologies that can be good and can be bad.
- We value discernment about the application of biometrics technology.
Our vision for the convene a range of constituencies whose work touches on biometrics and use in the real world.
- Biometrics Community
- Researchers and scientist who is looking for new ideas to work on
- Identity Community
- Commercial Users of systems
- Regulators and policy makers
- Cybersecurity Professionals
- Privacy Professionals
- Humanitarian Groups
- Police Accountability Groups
- Citizen Watchdog Groups
- Students and Researchers
We hope that the conversations catalyzed at the event are starting points for ongoing work in fora that touch on biometrics issues.
About the Format
Our inspiration for this event comes from the Internet Identity Workshop an event uses the open space technology to co-create the agenda live the day of the event. There are no keynotes or panels, it’s all about exploring the topic with professional peers from a range of industries. We are curating videos that people who are attending can watch ahead of time to get up to speed about some of the technologies and topics of interest but the format at the event is discussion driven and about peer learning. We do know great people who will be there and it is the attendees who have a passion for learning and contributing to the event that make it the success it is.
Here are some of the thought leader attendees (this is like the “speaker” list for a regular conference).
The Conveners
Asem Othman, Biometric Scientist Perspective
As a lead biometric scientist, I was attending two types of events. Biometric conferences that are merely focused on the state of the art research. Where biometric academic researchers are looking to advance biometric systems (e.g., improving the accuracy, acquisition, template extraction, template storage, etc.). Then there are identity conferences and workshops such as IIW, where different identity ecosystems and architectures are discussed, and I always have this question: how come they discuss identity without consulting the most reliable way to do it? Biometric is the only way to prove who you are!! I am obviously biased.
Then there are these biometric and identity shows that are mainly vendor-driven industrial marketing and product showcases. In this aforementioned category of the conference, participants of these shows are conservative in sharing ideas. They are by and large “selling” biometric/identity systems to governments and enterprises that buy them at scale.
Therefore, I believe this workshop will bring developers, researchers, and thought leaders from these two interconnected communities to openly share ideas and be transparent about their concerns and issues about the other side.
Based on my interaction with both communities, I believe these concerns are merely due to misunderstanding about the basics; from one side, about biometric and the current state of the art research in the biometric space, and on the other side, the recent fast-paced development and improvement that is happening in the different identity ecosystems. Once this misunderstanding is cleared out, and knowledge transfer occurs, this workshop will create neat and doable ideas that will advance the biometric and identity development into a new and remarkable era.
Jack “John Callahan” Software architect and developer
Software developers are not biometric experts. They need guidance to build solutions that are secure and respect the privacy of individuals and organizations by preventing breaches of sensitive information in the first place. Tools like encryption based on standards within approved frameworks have long served to help developers build such solutions. Unfortunately, while biometric systems are well documented, they generally lack integration into existing authentication and authorization frameworks.
This is changing: biometric authentication is now a common feature on mobile devices and support libraries, APIs and other tools are available to developers.
Kaliya Young “Identity Woman” - Digital Identity Expert
Digital Identity experts are not biometrics experts. The role that biometrics can play in digital identity systems is varied. I had a lot of preconceived notions about biometrics before I learned more about how they actually worked and how they fit within systems. It has been eye opening to engage with Jack and Asem and my hope is that other identity experts will find value in engaging with biometric experts.
Biometrics have a great potential to be quite dangerous if abused. The ethical side of the industry see that they have great potential to address some use-cases (such as recovery) that otherwise would be very difficult.
Image Commentary
The image reflects a range of the different biometrics modalities. It was created commons licensed. We note that the man in the image is white and this reflects one of the challenges of the industry is that often when biometrics systems are built the default human is “the white guy” and this means that women and people of color are not included in the reference data sets and training. We also note that there is a law enforcement person who is watching and accessing the data invading the privacy of the individual. We like the image because it highlights the growing concerns about biometric function creep where biometric data can be shared and misuse without users’ knowledge via these interconnected biometric systems.
Logistics
This event is being planned for January 2020. We are looking for sponsors who want to support this kind of dialogue. We will be hosting it virtually on the same platform that IIW uses - QiQoChat.


Create your account.
Purchase devices.
Activate your purchased devices.
Choose your monitoring type.
Interact with the devices through our apps.
View data in real-time.
Backlogs of data stored securely in the cloud.
Analytics and data processing.
Lead FullStack & Raspberry PI Developer
Responsible for management of the team. agile and tasks.
Oversees all project work done.
Responsible for development of the android application.
Researches and implements android features.
Oversees all work done towards the app.
Responsible for testing of the application.
Involved in use-case specification & prototype design.
Responsible for hardware & sensor research.
Does front-end development on the android application.
Android design diagrams & prototyping.
Requirements Gathering.


|
|
| Class (string name, string parentName, yyltype *location) |
| |
|
virtual void | createType (void) |
| |
|
ClassType * | getType (void) |
| |
|
virtual Class * | getParent (void) |
| | get symbol of parent class
|
| |
|
virtual void | dettachParent (void) |
| | remove parent class
|
| |
|
virtual char * | toString (void) |
| |
|
virtual bool | isClass (void) |
| |
|
virtual void | resolveFieldOrder (void) |
| | set up correct order for fields in class
|
| |
|
virtual bool | isVariable (void) |
| |
|
virtual bool | isFunction (void) |
| |
Definition at line 112 of file Symbol.h.
The documentation for this class was generated from the following file:


Important: You can't enable two storages at the same time, if you enable FTP, amazon s3 will be automatically disabled, same for amazon s3.
Amazon S3 & FTP Settings
Configure Amazon S3
config->server == 'nodejs') { ?>
config->server == 'nodejs') ? "Note: If you are using node.js as messaging system, please restart your node.js (./nodejs/server.js) application after saving the changes." : '';?>
Digitalocean Spaces Configuration
FTP Settings
You can upload files directly from your server to another FTP server and load them from there.
Impotant: This may slow down your site's upload/delete speed, make sure to use fast FTP server.


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{% extends "base.html" %} {% block content %}
Venture Title:
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Backed by:
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Campaign Title:
Contribution amount (5 point increments):
Submit Comment
{{instance.Content}}


Report: Google will offer checking accounts
NEW YORK (AP) - Google plans offer checking accounts run by Citigroup and a credit union, according to a report by The Wall Street Journal.
Big tech companies have been pushing into other arenas such as finance and health care to gain more access to consumer data. The push comes at a time when regulators are looking into privacy practices by firms including Google and Facebook so the deals are likely to be scrutinized.
The project is expected to launch next year, a Google executive told The Journal. The financial institutions’ brands, not Google’s, will front the accounts.
Google declined to comment. It’s not Google’s first foray into finance. It launched Google Wallet and Google Pay which let users store credit and debit card information and use them to make mobile and digital payments.
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Please read our comment policy before commenting.


McDonald's sorry after 'Sundae Bloody Sundae' ice cream advert
by Cristina Abellan MatamorosMcDonald's has apologised for a Halloween marketing campaign in Portugal that referenced one of the darkest days of the Northern Ireland sectarian conflict.
The advert ran pictures of its new sundae ice creams with the pun: "Sundae Bloody Sundae".
Bloody Sunday saw 13 people killed when British soldiers opened fire at a civil rights march in Derry/Londonderry on January 30, 1972.
The advert, which started circulating on social media, drew a lot of criticism from users, with some calling it "appalling".
McDonald's said in a statement to Euronews: "When promoting its Halloween Sundae ice cream, McDonald’s Portugal developed a local market activation for a small number of its restaurants in Portugal.
"The campaign was intended as a celebration of Halloween, not as an insensitive reference to any historical event or to upset or insult anyone in any way.
"We sincerely apologise for any offence or distress this may have caused. All promotional material has been removed from restaurants."
Earlier this year, a former British soldier faced murder charges over the killing of two people at the Bloody Sunday incident.
The Irish band U2 wrote a political song about the events of that day entitled "Sunday Bloody Sunday".


Provide fixed table headers and columns for the table extension.
Status: experimental / work in progress. Details: ext-fixed.
| # | Title | Key | Head R1 C5 | Head R1 C6 | Head R1 C7 | Head R1 C8 | Head R1 C9 | Head R1 C10 | Head R1 C11 | Head R1 C12 | Head R1 C13 | Head R1 C14 | Head R1 C15 | Head R1 C16 | Head R1 C17 | Head R1 C18 | Head R1 C19 | Head R1 C20 | Head R1 C21 | Head R1 C22 | Head R1 C23 | Head R1 C24 | Head R1 C25 | Head R1 C26 | Head R1 C27 | Head R1 C28 | Head R1 C29 | Head R1 C30 | Head R1 C31 | Head R1 C32 | Head R1 C33 | Head R1 C34 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Head R2 C5 | Head R2 C6 | Head R2 C7 | Head R2 C8 | Head R2 C9 | Head R2 C10 | Head R2 C11 | Head R2 C12 | Head R2 C13 | Head R2 C14 | Head R2 C15 | Head R2 C16 | Head R2 C17 | Head R2 C18 | Head R2 C19 | Head R2 C20 | Head R2 C21 | Head R2 C22 | Head R2 C23 | Head R2 C24 | Head R2 C25 | Head R2 C26 | Head R2 C27 | Head R2 C28 | Head R2 C29 | Head R2 C30 | Head R2 C31 | Head R2 C32 | Head R2 C33 | Head R2 C34 |
jquery.fancytree.js project home Link to this page Example Browser View source code


Home
Minnesota :: Locate The Law
Constitution
Minnesota Constitution
(Minnesota Legislature House)
Executive
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(Minnesota Office of Revisor of Statutes)
Minnesota State Register
(Minnesota Office of State Register)
Vol. 21, no. 38 (March 17, 1997-
Minnesota Executive Orders
(
see also
Minnesota State Register
) 2003-
Minnesota Attorney General Opinions
1993-
Minnesota Governor
Minnesota Attorney General
Minnesota Secretary of State
Minnesota Elections Division
- includes links to election laws and procedures
Judicial
Minnesota Supreme Court Opinions
(Minnesota Courts)
current only
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current only
Minnesota State Appellate Courts Archive
(Minnesota State Law Library)
May 1996-
Minnesota Supreme Court and Court of Appeals Opinions
(FindLaw)
May 1996-
U.S. Court of Appeals, 8th Circuit
(U.S. Courts)
November 1995-
U.S. Court of Appeals, 8th Circuit
(FindLaw)
November 1995-
U.S. District Court, District of Minnesota
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Minnesota Session Laws
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1994-
Minnesota Bills
Minnesota State Legislature
- composed of the
Senate
and
House of Representatives


Module: Concurrent::ImmutableStruct
- Defined in:
- lib/concurrent/immutable_struct.rb
Overview
A thread-safe, immutable variation of Ruby's standard Struct
.
Class Method Summary collapse
-
.new(*args, &block) ⇒ undocumented
Factory for creating new struct classes.
Instance Method Summary collapse
-
#==(other) ⇒ Boolean
Equality.
-
#[](member) ⇒ Object
Attribute Reference.
-
#each {|value| ... } ⇒ undocumented
Yields the value of each struct member in order.
-
#each_pair {|member, value| ... } ⇒ undocumented
Yields the name and value of each struct member in order.
-
#inspect ⇒ String
(also: #to_s)
Describe the contents of this struct in a string.
-
#merge(other) {|member, selfvalue, othervalue| ... } ⇒ Synchronization::AbstractStruct
Returns a new struct containing the contents of
other
and the contents ofself
. -
#select {|value| ... } ⇒ Array
Yields each member value from the struct to the block and returns an Array containing the member values from the struct for which the given block returns a true value (equivalent to
Enumerable#select
). -
#to_h ⇒ Hash
Returns a hash containing the names and values for the struct’s members.
-
#values ⇒ Array
(also: #to_a)
Returns the values for this struct as an Array.
-
#values_at(*indexes) ⇒ undocumented
Returns the struct member values for each selector as an Array.
Class Method Details
.new(*args, &block) ⇒ undocumented
Factory for creating new struct classes.
new([class_name] [, member_name]+>) -> StructClass click to toggle source
new([class_name] [, member_name]+>) {|StructClass| block } -> StructClass
new(value, ...) -> obj
StructClass[value, ...] -> obj
The first two forms are used to create a new struct subclass class_name
that can contain a value for each member_name . This subclass can be
used to create instances of the structure like any other Class .
If the class_name
is omitted an anonymous struct class will be created.
Otherwise, the name of this struct will appear as a constant in the struct class,
so it must be unique for all structs under this base class and must start with a
capital letter. Assigning a struct class to a constant also gives the class
the name of the constant.
If a block is given it will be evaluated in the context of StructClass
, passing
the created class as a parameter. This is the recommended way to customize a struct.
Subclassing an anonymous struct creates an extra anonymous class that will never be used.
The last two forms create a new instance of a struct subclass. The number of value
parameters must be less than or equal to the number of attributes defined for the
struct. Unset parameters default to nil. Passing more parameters than number of attributes
will raise an ArgumentError
.
74 75 76 77 78 79 80 81 82 |
# File 'lib/concurrent/immutable_struct.rb', line 74 def self.new(*args, &block) clazz_name = nil if args.length == 0 raise ArgumentError.new('wrong number of arguments (0 for 1+)') elsif args.length > 0 && args.first.is_a?(String) clazz_name = args.shift end FACTORY.define_struct(clazz_name, args, &block) end |
Instance Method Details
#==(other) ⇒ Boolean
Equality
51 52 53 |
# File 'lib/concurrent/immutable_struct.rb', line 51 def ==(other) ns_equality(other) end |
#[](member) ⇒ Object
Attribute Reference
46 47 48 |
# File 'lib/concurrent/immutable_struct.rb', line 46 def [](member) ns_get(member) end |
#each {|value| ... } ⇒ undocumented
Yields the value of each struct member in order. If no block is given an enumerator is returned.
56 57 58 59 |
# File 'lib/concurrent/immutable_struct.rb', line 56 def each(&block) return enum_for(:each) unless block_given? ns_each(&block) end |
#each_pair {|member, value| ... } ⇒ undocumented
Yields the name and value of each struct member in order. If no block is given an enumerator is returned.
62 63 64 65 |
# File 'lib/concurrent/immutable_struct.rb', line 62 def each_pair(&block) return enum_for(:each_pair) unless block_given? ns_each_pair(&block) end |
#inspect ⇒ String Also known as: to_s
Describe the contents of this struct in a string.
29 30 31 |
# File 'lib/concurrent/immutable_struct.rb', line 29 def inspect ns_inspect end |
#merge(other) {|member, selfvalue, othervalue| ... } ⇒ Synchronization::AbstractStruct
Returns a new struct containing the contents of other
and the contents
of self
. If no block is specified, the value for entries with duplicate
keys will be that of other
. Otherwise the value for each duplicate key
is determined by calling the block with the key, its value in self
and
its value in other
.
36 37 38 |
# File 'lib/concurrent/immutable_struct.rb', line 36 def merge(other, &block) ns_merge(other, &block) end |
#select {|value| ... } ⇒ Array
Yields each member value from the struct to the block and returns an Array
containing the member values from the struct for which the given block
returns a true value (equivalent to Enumerable#select
).
68 69 70 71 |
# File 'lib/concurrent/immutable_struct.rb', line 68 def select(&block) return enum_for(:select) unless block_given? ns_select(&block) end |
#to_h ⇒ Hash
Returns a hash containing the names and values for the struct’s members.
41 42 43 |
# File 'lib/concurrent/immutable_struct.rb', line 41 def to_h ns_to_h end |
#values ⇒ Array Also known as: to_a
Returns the values for this struct as an Array.
17 18 19 |
# File 'lib/concurrent/immutable_struct.rb', line 17 def values ns_values end |
#values_at(*indexes) ⇒ undocumented
Returns the struct member values for each selector as an Array.
A selector may be either an Integer offset or a Range of offsets (as in Array#values_at
).
24 25 26 |
# File 'lib/concurrent/immutable_struct.rb', line 24 def values_at(*indexes) ns_values_at(indexes) end |


| nanotime-package | Nanosecond resolution datetime functionality |
| abs-method | Duration type with nanosecond precision |
| all.equal-method | Test if Two Objects are (Nearly) Equal |
| all.equal-method | Test if Two Objects are (Nearly) Equal |
| all.equal-method | Test if Two Objects are (Nearly) Equal |
| all.equal-method | Test if Two Objects are (Nearly) Equal |
| all.equal.nanoduration | Test if Two Objects are (Nearly) Equal |
| all.equal.nanoival | Test if Two Objects are (Nearly) Equal |
| all.equal.nanoperiod | Test if Two Objects are (Nearly) Equal |
| all.equal.nanotime | Test if Two Objects are (Nearly) Equal |
| Arith-method | Duration type with nanosecond precision |
| Arith-method | Interval type with nanosecond precision |
| Arith-method | Nanosecond resolution datetime functionality |
| as.character-method | Duration type with nanosecond precision |
| as.character-method | Period type with nanosecond precision |
| as.character.nanoival | Interval type with nanosecond precision |
| as.character.nanotime | Nanosecond resolution datetime functionality |
| as.data.frame.nanoduration | Nanosecond resolution datetime functionality |
| as.data.frame.nanotime | Nanosecond resolution datetime functionality |
| as.Date.nanotime | Nanosecond resolution datetime functionality |
| as.integer64.nanoduration | Duration type with nanosecond precision |
| as.integer64.nanotime | Nanosecond resolution datetime functionality |
| as.nanoduration | Duration type with nanosecond precision |
| as.nanoduration-method | Duration type with nanosecond precision |
| as.nanoival | Interval type with nanosecond precision |
| as.nanoival-method | Interval type with nanosecond precision |
| as.nanoperiod | Period type with nanosecond precision |
| as.nanoperiod-method | Period type with nanosecond precision |
| as.nanotime | Nanosecond resolution datetime functionality |
| as.nanotime-method | Nanosecond resolution datetime functionality |
| as.POSIXct.nanotime | Nanosecond resolution datetime functionality |
| as.POSIXlt.nanotime | Nanosecond resolution datetime functionality |
| c.nanoduration | Duration type with nanosecond precision |
| c.nanoival | Interval type with nanosecond precision |
| c.nanoperiod | Period type with nanosecond precision |
| c.nanotime | Nanosecond resolution datetime functionality |
| Compare-method | Duration type with nanosecond precision |
| Compare-method | Interval type with nanosecond precision |
| Compare-method | Period type with nanosecond precision |
| Compare-method | Nanosecond resolution datetime functionality |
| Complex-method | Duration type with nanosecond precision |
| Complex-method | Interval type with nanosecond precision |
| Complex-method | Period type with nanosecond precision |
| Complex-method | Nanosecond resolution datetime functionality |
| format.nanoduration | Duration type with nanosecond precision |
| format.nanoival | Interval type with nanosecond precision |
| format.nanoperiod | Period type with nanosecond precision |
| format.nanotime | Nanosecond resolution datetime functionality |
| index2char.nanotime | Nanosecond resolution datetime functionality |
| intersect-method | Set operations |
| intersect.idx | Set operations |
| intersect.idx-method | Set operations |
| is.na-method | Duration type with nanosecond precision |
| is.na-method | Interval type with nanosecond precision |
| is.na-method | Period type with nanosecond precision |
| is.na-method | Nanosecond resolution datetime functionality |
| is.na<--method | Interval type with nanosecond precision |
| is.na<--method | Period type with nanosecond precision |
| is.unsorted-method | Test if a 'nanoival' vector is Not Sorted |
| Logic-method | Duration type with nanosecond precision |
| Logic-method | Interval type with nanosecond precision |
| Logic-method | Nanosecond resolution datetime functionality |
| Math-method | Duration type with nanosecond precision |
| Math-method | Interval type with nanosecond precision |
| Math-method | Period type with nanosecond precision |
| Math-method | Nanosecond resolution datetime functionality |
| Math2-method | Duration type with nanosecond precision |
| Math2-method | Interval type with nanosecond precision |
| Math2-method | Period type with nanosecond precision |
| Math2-method | Nanosecond resolution datetime functionality |
| max-method | Duration type with nanosecond precision |
| max-method | Nanosecond resolution datetime functionality |
| min-method | Duration type with nanosecond precision |
| min-method | Nanosecond resolution datetime functionality |
| minus | Period type with nanosecond precision |
| minus-method | Period type with nanosecond precision |
| names-method | Period type with nanosecond precision |
| names<--method | Period type with nanosecond precision |
| names<--method | Nanosecond resolution datetime functionality |
| nanoduration | Duration type with nanosecond precision |
| nanoduration-class | Duration type with nanosecond precision |
| nanoival | Interval type with nanosecond precision |
| nanoival-class | Interval type with nanosecond precision |
| nanoival.end | Interval type with nanosecond precision |
| nanoival.end-method | Interval type with nanosecond precision |
| nanoival.eopen | Interval type with nanosecond precision |
| nanoival.eopen-method | Interval type with nanosecond precision |
| nanoival.sopen | Interval type with nanosecond precision |
| nanoival.sopen-method | Interval type with nanosecond precision |
| nanoival.start | Interval type with nanosecond precision |
| nanoival.start-method | Interval type with nanosecond precision |
| nanoperiod | Period type with nanosecond precision |
| nanoperiod-class | Period type with nanosecond precision |
| nanoperiod.day | Nanoperiod accessors |
| nanoperiod.day-method | Nanoperiod accessors |
| nanoperiod.month | Nanoperiod accessors |
| nanoperiod.month-method | Nanoperiod accessors |
| nanoperiod.nanoduration | Nanoperiod accessors |
| nanoperiod.nanoduration-method | Nanoperiod accessors |
| nanotime | Nanosecond resolution datetime functionality |
| nanotime-class | Nanosecond resolution datetime functionality |
| nanotime-method | Nanosecond resolution datetime functionality |
| nanotime.matrix | Nanosecond resolution datetime functionality |
| nano_ceiling | Rounding down or up a 'nanotime' type |
| nano_ceiling-method | Rounding down or up a 'nanotime' type |
| nano_floor | Rounding down or up a 'nanotime' type |
| nano_floor-method | Rounding down or up a 'nanotime' type |
| nano_mday | Get a component of a date time |
| nano_mday-method | Get a component of a date time |
| nano_month | Get a component of a date time |
| nano_month-method | Get a component of a date time |
| nano_wday | Get a component of a date time |
| nano_wday-method | Get a component of a date time |
| nano_year | Get a component of a date time |
| nano_year-method | Get a component of a date time |
| NA_nanoduration_ | Duration type with nanosecond precision |
| NA_nanoival_ | Interval type with nanosecond precision |
| NA_nanoperiod_ | Period type with nanosecond precision |
| NA_nanotime_ | Nanosecond resolution datetime functionality |
| plus | Period type with nanosecond precision |
| plus-method | Period type with nanosecond precision |
| print-method | Duration type with nanosecond precision |
| print-method | Interval type with nanosecond precision |
| print-method | Period type with nanosecond precision |
| print-method | Nanosecond resolution datetime functionality |
| range-method | Duration type with nanosecond precision |
| range-method | Nanosecond resolution datetime functionality |
| rep-method | Replicate Elements |
| rep-method | Replicate Elements |
| rep-method | Replicate Elements |
| rep-method | Replicate Elements |
| seq-method | Sequence Generation |
| seq-method | Sequence Generation |
| seq.nanoduration | Sequence Generation |
| seq.nanotime | Sequence Generation |
| setdiff-method | Set operations |
| setdiff.idx | Set operations |
| setdiff.idx-method | Set operations |
| show-method | Duration type with nanosecond precision |
| show-method | Interval type with nanosecond precision |
| show-method | Period type with nanosecond precision |
| show-method | Nanosecond resolution datetime functionality |
| sign-method | Duration type with nanosecond precision |
| sort-method | Sorting or Ordering Vectors |
| sum-method | Duration type with nanosecond precision |
| Summary-method | Duration type with nanosecond precision |
| Summary-method | Interval type with nanosecond precision |
| Summary-method | Period type with nanosecond precision |
| Summary-method | Nanosecond resolution datetime functionality |
| t-method | Interval type with nanosecond precision |
| union-method | Set operations |
| !=-method | Interval type with nanosecond precision |
| !=-method | Period type with nanosecond precision |
| %in%.nanotime | Set operations |
| *-method | Duration type with nanosecond precision |
| *-method | Period type with nanosecond precision |
| +-method | Duration type with nanosecond precision |
| +-method | Interval type with nanosecond precision |
| +-method | Period type with nanosecond precision |
| +-method | Nanosecond resolution datetime functionality |
| --method | Duration type with nanosecond precision |
| --method | Interval type with nanosecond precision |
| --method | Period type with nanosecond precision |
| --method | Nanosecond resolution datetime functionality |
| /-method | Duration type with nanosecond precision |
| /-method | Period type with nanosecond precision |
| <-method | Interval type with nanosecond precision |
| <=-method | Interval type with nanosecond precision |
| ==-method | Interval type with nanosecond precision |
| ==-method | Period type with nanosecond precision |
| >-method | Interval type with nanosecond precision |
| >=-method | Interval type with nanosecond precision |
| [-method | Duration type with nanosecond precision |
| [-method | Interval type with nanosecond precision |
| [-method | Period type with nanosecond precision |
| [-method | Nanosecond resolution datetime functionality |
| [<--method | Duration type with nanosecond precision |
| [<--method | Interval type with nanosecond precision |
| [<--method | Period type with nanosecond precision |
| [<--method | Nanosecond resolution datetime functionality |
| [[-method | Duration type with nanosecond precision |
| [[-method | Interval type with nanosecond precision |
| [[-method | Period type with nanosecond precision |
| [[-method | Nanosecond resolution datetime functionality |


The easiest way to write SQL in Java
jOOQ: Java Object Oriented Querying
Just because you're using Hibernate, doesn't mean you have to use it for everything. A point I've been making for about ten years now.
Gavin King, 10.12.2013
1 PreparedStatement stmt = connection.prepareStatement(
2 "SELECT p.text txt" +
3 (isAccount ? ", NVL(a.type, ?) " : "") +
4 "FROM products p " +
5 (isAccount ? " INNER JOIN accounts a USING (prod_id) " : "") +
6 " WHERE p.cust_id = ? AND p.value < ?" +
7 (isAccount ? " AND a.type LIKE '%" + type + "%'" : ""));
8 stmt.setInt(1, defaultType);
9 stmt.setInt(2, custID);
10 stmt.setBigDecimal(3, BigDecimal.ZERO);
11 ResultSet rs = stmt.executeQuery();
12 rs.close();
13 stmt.close();
| ID | VALUE_DATE | AMOUNT |
|------|------------|--------|
| 9997 | 2014-03-18 | 99.17 |
| 9981 | 2014-03-16 | 71.44 |
| 9979 | 2014-03-16 | -94.60 |
| 9977 | 2014-03-16 | -6.96 |
| 9971 | 2014-03-15 | -65.95 |
| ID | VALUE_DATE | AMOUNT | BALANCE |
|------|------------|--------|----------|
| 9997 | 2014-03-18 | 99.17 | 19985.81 |
| 9981 | 2014-03-16 | +71.44 |=19886.64 |
| 9979 | 2014-03-16 | -94.60 |+19815.20 |
| 9977 | 2014-03-16 | -6.96 | 19909.80 |
| 9971 | 2014-03-15 | -65.95 | 19916.76 |
select b1.bill_id, b1.creation_time, b1.price,
(select coalesce(sum(b2.price), 0)
from bill b2
where b1.account_id = b2.account_id
and (b2.creation_time, b2.bill_id) < (b1.creation_time, b1.bill_id)
) as balance
from bill b1
where b1.account_id = 1100939
order by b1.creation_time desc, b1.bill_id desc;
Получили O(n^2) алгоритм, кол-во строк: ~10k, время: 42 сек
Sort (cost=109993.30..109998.87 rows=11148 width=24) (actual time=42490.635..42491.401 rows=9824 loops=1)
Sort Key: b1.creation_time, b1.bill_id
Sort Method: quicksort Memory: 1152kB
Buffers: shared hit=14943797 read=28
I/O Timings: read=14.740
-> Index Scan using bill_account_currency_index on bill b1 (cost=0.09..109843.42 rows=11148 width=24) (actual time=22.441..42482.146 rows=9824 loops=1)
Index Cond: (account_id = 1100939)
Buffers: shared hit=14943797 read=28
I/O Timings: read=14.740
SubPlan 1
-> Aggregate (cost=9.65..9.70 rows=1 width=8) (actual time=4.321..4.321 rows=1 loops=9824)
Buffers: shared hit=14942277 read=27
I/O Timings: read=9.681
-> Index Scan using bill_account_currency_index on bill b2 (cost=0.09..9.64 rows=12 width=8) (actual time=0.013..3.092 rows=4912 loops=9824)
Index Cond: (b1.account_id = account_id)
Filter: (ROW(creation_time, bill_id) < ROW(b1.creation_time, b1.bill_id))
Rows Removed by Filter: 4912
Buffers: shared hit=14942277 read=27
I/O Timings: read=9.681
Planning time: 0.184 ms
Execution time: 42491.949 ms
select b.bill_id, b.creation_time, b.price,
coalesce(sum(b.price) over (
partition by b.account_id
order by b.creation_time desc, b.bill_id desc
rows between 1 following
and unbounded following), 0) as balance
from bill b
where b.account_id = 1100939
order by b.creation_time desc, b.bill_id desc;
Кол-во строк: ~10k, время: 24 ms
WindowAgg (cost=1904.49..2484.19 rows=11148 width=24) (actual time=16.522..23.609 rows=9824 loops=1)
Buffers: shared hit=1521
-> Sort (cost=1904.49..1910.07 rows=11148 width=24) (actual time=11.855..12.477 rows=9824 loops=1)
Sort Key: creation_time, bill_id
Sort Method: quicksort Memory: 1152kB
Buffers: shared hit=1521
-> Index Scan using bill_account_currency_index on bill b (cost=0.09..1754.61 rows=11148 width=24) (actual time=0.023..7.484 rows=9824 loops=1)
Index Cond: (account_id = 1100939)
Buffers: shared hit=1521
Planning time: 0.130 ms
Execution time: 24.467 ms
SELECT *
FROM author a
JOIN book b ON a.id = b.author_id
WHERE a.year_of_birth > 1920
AND a.first_name = 'Paulo'
ORDER BY b.title;
create.select()
.from(AUTHOR.as("a"))
.join(BOOK.as("b")).on(a.ID.equal(b.AUTHOR_ID))
.where(a.YEAR_OF_BIRTH.greaterThan(1920)
.and(a.FIRST_NAME.equal("Paulo")))
.orderBy(b.TITLE);
SELECT AUTHOR.FIRST_NAME, AUTHOR.LAST_NAME, COUNT(*)
FROM AUTHOR
JOIN BOOK ON AUTHOR.ID = BOOK.AUTHOR_ID
WHERE BOOK.LANGUAGE = 'DE'
AND BOOK.PUBLISHED > DATE '2008-01-01'
GROUP BY AUTHOR.FIRST_NAME, AUTHOR.LAST_NAME
HAVING COUNT(*) > 5
ORDER BY AUTHOR.LAST_NAME ASC NULLS FIRST
LIMIT 2
OFFSET 1;
create.select(AUTHOR.FIRST_NAME, AUTHOR.LAST_NAME, count())
.from(AUTHOR)
.join(BOOK).on(AUTHOR.ID.equal(BOOK.AUTHOR_ID))
.where(BOOK.LANGUAGE.eq("DE"))
.and(BOOK.PUBLISHED.gt(date("2008-01-01")))
.groupBy(AUTHOR.FIRST_NAME, AUTHOR.LAST_NAME)
.having(count().gt(5))
.orderBy(AUTHOR.LAST_NAME.asc().nullsFirst())
.limit(2)
.offset(1);
select b.bill_id, b.creation_time, b.price,
coalesce(sum(b.price) over (
partition by b.account_id
order by b.creation_time desc, b.bill_id desc
rows between 1 following
and unbounded following), 0) as balance
from bill b
where b.account_id = 1100939
order by b.creation_time desc, b.bill_id desc;
select(b.BILL_ID, b.ACCOUNT_ID, b.CREATION_TIME, b.PRICE,
coalesce(sum(b.PRICE)
.over(partitionBy(b.ACCOUNT_ID)
.orderBy(b.CREATION_TIME.desc(), b.BILL_ID.desc())
.rowsBetweenFollowing(1)
.andUnboundedFollowing()), 0).as(balance))
.from(b)
.where(b.ACCOUNT_ID.eq(1100939))
.orderBy(b.CREATION_TIME.desc(), b.BILL_ID.desc())


Welcome to my first web page!
Here are some things I'm going to learn about coding
Check out Moringa School. It's a great place to learn web development skills!
Here is a link to my favorite things


Onsets and Frames
is a deep neural network that transcribes audio of piano performances to
NoteSequences
/MIDI
.
You can use your own piano music file (i.e. actual audio, not midi) for transcription:
Actual Transcription:
It Took:
Total Leaked Memory:
You can record piano audio from a microphone and transcribe it. If you're recording something other than piano (like your voice), this will be transcribed but it will probably be fairly noisy and incorrect.
Actual Transcription:
It Took:
Total Leaked Memory:
We verify the model can transcribe a short sequence of piano audio, first computing its mel spectogram.
Original Audio
Expected Transcription:
Actual Transcription:
Match:
It Took:
Total Leaked Memory:
Below we verify that the model properly transcribes a mel spectrogram to match the output of the Python TensorFlow implementation. We found it is necessary to process the convolution in batches for longer inputs to avoid a GPU timeout enforced in Chrome, and we verify that the transcription works properly with different batch sizes that exercise various edge cases.
Original Audio
Expected Transcription:
Actual Transcription:
Match:
It Took:
Actual Transcription:
Match:
It Took:
Actual Transcription:
Match:
It Took:
Actual Transcription:
Match:
It Took:
Actual Transcription:
Match:
It Took:
Total Leaked Memory:


Skill type is required.
Years of experience is required.
Street name required.
City is required.
State required.
Zip is required.


A channel to discuss trading. For useful links and more info click the pinned messages to the right.
100 messages
Before 05-Dec-19 12:00 AM
FishyGuts12-Feb-19 07:02 PM
Damn. I was hoping to post my deadmaus helmet and costume I made@my kid in 2015. I’ll have to pull it up. Here’s a constellation prize. I made him a Reaper costume 2016.
The boots got a makeover after this photo but it came out allright.
jl777c12-Feb-19 07:08 PM
why is the KMD volume always so low?
why does KMD price only go down?
why do all the other coins go up and KMD goes down?
where are all the peoples who usually ask the above questions?
Buddz199312-Feb-19 07:11 PM
they are waiting for it to happen again , so they can come out from the shadows
hopefully they will be gone for a while
jl777c12-Feb-19 07:15 PM
even with the $5 mil volume we are still right around the middle of the top 50, more corresponding to current rank. still it is 5% marketcap. So on average, it might be below 1% per day, but we do get these 10x boosts in volumes when everyones indicators go green
Tek12-Feb-19 07:28 PM
@FishyGuts hah agreed. I buy some KMD every few weeks and will continue to do so until it goes above ~30k sats
then I'll just stake for a year or two
then I'll dump half my stack.
the staking is pretty interesting I neever had the chance to have a decent stake in a staking coin so
5% is awesome, no bank account gives you this
Lieutenant12-Feb-19 07:42 PM
2 months I've been waiting for this moment. two months ago I sold 20k stratis and bought 40k kmd. Today I bought back 40k stratis. thank you kmd.
I will wait for the moment to sell 40k strat and buy back 80k kmd
but then we know it was whale action, so if market is not rdy for this move then it will dump back down
i quess we will see next days :p
Wazzup12-Feb-19 08:17 PM
@jl777c It;s all about perspective and market cycles. And current position on CMC doesn;t even matter that much. What matters tho is longevity. Money grabs will slowly die out and with time people will look towards legitimate projects that stood the test of time.
jl777c12-Feb-19 08:19 PM
of course, I know this. when months seems like a long time for some people, for me years is a short time. it will take at least a decade if not decades for blockchain usage to become the multimillions. then the market leaders will be worth many multiples of entire crypto marketcap, even if they have no tokenomics today
2
1
meatspoon12-Feb-19 08:51 PM
@Tek you can deposit btc, eth, ltc and a bunch of other coins on Celsius and get weekly interest that equates to between 3% and 7%. Rates change most weeks depending on demand. Interest is currently paid in like-kind, so BTC earns BTC and ETH earns ETH.
1
Tek12-Feb-19 08:53 PM
@meatspoon does it take dash? I don't feel confy giving my coins to some bank tho
what if they exit scam me
meatspoon12-Feb-19 08:53 PM
They don’t do dash.
Tek12-Feb-19 08:54 PM
then i cant use it cause I'm mainly Dash and KMD
Alexfrog12-Feb-19 08:54 PM
3-7% weekly interest seems like a ponzi scheme to me.  Creator of voip. Custody is done by BitGo. Exit scam is unlikely
Tek12-Feb-19 08:59 PM
surely will consider putting some crypto in a bank depending on decent returns some time in the future but right now
nah
thanks though
Alexfrog12-Feb-19 09:58 PM
oh so its 3-7% annually? not a scam then, but still a risk of letting others control your coins. might be worth it
ComputerGenie 👴👴👴12-Feb-19 10:08 PM
Likewise13-Feb-19 12:21 AM
still here, volume shows another market manipulated dump. Volume went from 38 BTC to 653 BTC in 48 hours. A nice orchestrated pump, watch the sell off.
1
Alexfrog13-Feb-19 12:23 AM
sometimes whales buy, and its not an 'orchestrated pump' lol
Likewise13-Feb-19 12:23 AM
or...unless we finally start a sustained bull run
Alexfrog13-Feb-19 12:23 AM
yeah
Likewise13-Feb-19 12:23 AM
euh if they buy and 2 days later price is back where it started it is a pumnp kid
time will tell, but throughout whole 2018 all we have seen were pump/dumps
Alexfrog13-Feb-19 12:24 AM
i thought the Komodo chart was screaming that a huge move up was imminent for like 2 weeks+, and i was shocked that it wasnt happening and the price was in the 17ks
Then it finally happened
Likewise13-Feb-19 12:26 AM
me too, was bound to happen but my point is, a sustained bull lasts weeks, months with small corrections. What we see here (all of crypto) mostly our price manipulation.
NNoperator13-Feb-19 12:26 AM
whale has sucked up all the sells on binance!

Alexfrog13-Feb-19 12:30 AM
only takes like a mill to retire, if youre willing to live moderately
bishop13-Feb-19 12:31 AM
we'll see those numbers change when the annualized 5- and 10-yr numbers of markets are low single digits and likely negative after inflation
Likewise13-Feb-19 12:31 AM
Thats right, I semi retired in 2006, jsut trade the SPX500 and sonme others since then, doing great. if KMD goes to 10$, Im out
NNoperator13-Feb-19 12:31 AM
@Likewise did you retire in December 2017? Or are you newer to KMD?(edited)
Likewise13-Feb-19 12:34 AM
In december 2017 I didnt have KMD, only sold my BTC back then. Started getting into KMD in th e bear market, sold it with a minor loss, waited and started buying back at 0.00014 15 16 17 18 sats, loaded up heavily
bishop13-Feb-19 12:35 AM
Guy is a wizard. Sells peaks, buys lows
Alexfrog13-Feb-19 12:35 AM
wish i sold the high lol
Likewise13-Feb-19 12:35 AM
where did I sell peaks jsu said I didnt have any KMD jsut had btc which I indeed sold at 15K$ Why?
bishop13-Feb-19 12:35 AM
that's what I mean... sold BTC at close to ATHs
NNoperator13-Feb-19 12:36 AM
Looks like good timing, we will be back to 50k+ soon enough
bishop13-Feb-19 12:36 AM
and now buying KMD at basically ATLs
wizard.
Likewise13-Feb-19 12:36 AM
as so many others did who can read market sentiment, think you guys should know some of us have been trading way before crypto cameabout
jealous kid?
I got proof. DO you?
bishop13-Feb-19 12:37 AM
no, just find it incredible that you didn't buy at 30k sat
Likewise13-Feb-19 12:37 AM
why buy at 30 sats
bishop13-Feb-19 12:37 AM
Did I knock you at all, I don't think I did.
meatspoon13-Feb-19 12:37 AM
Likewise is all prickly. Why is everyone a kid?
bishop13-Feb-19 12:38 AM
just if true, you basically top and bottom ticked the market in crypto (most likely)
Likewise13-Feb-19 12:38 AM
As I said I got in in the bear market at around 0.0005, saw it dropping, didnt buy the dip but cut my loss, and waited it out and re entered later in the year
it is called trading
BTC got in April around 1800$ sold December at 15k$. Then started looking at KMD but as I said bought some, bear market went on, cut my loss and got back in a few months ago. Nothing out of the ordinary really.
 Props, dad.
Likewise13-Feb-19 12:43 AM
hahaha I was a young starter, a self starter
meatspoon13-Feb-19 12:44 AM
Self starter sounds like a metaphor for masturbation.
Likewise13-Feb-19 12:45 AM
yeah, when mom isnt around the old hand comes out. No need for that in asia though
10$ and I will fly you and mom out here
0.000186 is where I entered jsut had a look. Can't attach the screenshot


MIDIHandler
public final class MIDIHandler
Undocumented
-
Undocumented
Declaration
Swift
public var midiControllerList: [String]
-
Singleton of MIDIHandler
Declaration
Swift
public static var shared: MIDIHandler
-
Initialization, read controller list from file
Declaration
Swift
public init()
-
Convert second to nanosecond, MIDI Timestamp is in nanosecond
Declaration
Swift
public static func secondToNanoSecond(second: UInt64) -> UInt64
-
Create a virtual MIDI source, for outputing midi data to DAWs
Declaration
Swift
public func configDevice()
-
Send a midi packet
Declaration
Swift
public func sendMIDIEvent(event: MIDIEvent, channel: UInt8 = 0, data1: UInt8, data2: UInt8)
Parameters
event
See MIDIEvent Enum
channel
MIDI Channel number 0-15
data1
2nd Byte of a MIDI message
data2
3nd Byte of a MIDI Message
-
Send a pair of note on & note off message
Declaration
Swift
public func sendNote(channel: UInt8 = 0, noteNumber: UInt8, velocity: UInt8, duration: NoteLength)
Parameters
channel
MIDI Channel number 0-15
noteNumber
0-127
velocity
0-127
duration
See NoteLength Enum
-
Send a note on message
Declaration
Swift
public func sendNoteOn (channel: UInt8 = 0, noteNumber: UInt8, velocity: UInt8)
Parameters
channel
MIDI Channel number 0-15
noteNumber
0-127
velocity
0-127
-
Send a note off message
Declaration
Swift
public func sendNoteOff (channel: UInt8 = 0, noteNumber: UInt8)
Parameters
channel
MIDI Channel number 0-15
noteNumber
0-127
-
Send a pitchbend message
Declaration
Swift
public func sendPitchBend (channel: UInt8 = 0, value: UInt8)
Parameters
channel
MIDI Channel number 0-15
value
0-127, 64 is pitchbend in the middle position
-
Send a aftertouch message
Declaration
Swift
public func sendAfterTouch (channel: UInt8 = 0, value: UInt8)
Parameters
channel
MIDI Channel number 0-15
value
0-127
-
Send a midi control message
Declaration
Swift
public func sendControlMessage(channel: UInt8 = 0, cc: UInt8, value: UInt8)
Parameters
channel
MIDI Channel number 0-15
cc
controller number 0-127
value
0-127
-
Mute all notes on a channel
Declaration
Swift
public func sendAllNoteOff(channel: UInt8 = 0)
-
MIDI Flush
Declaration
Swift
public func flushMIDI()
-
Reset pitchbend to middle position
Declaration
Swift
public func resetPitchBend()


Let's talk Daedalus!
Check console to get some feedback.
getWallets
getWallet
send from a to b 1 coin
get wallet history
newWallet
updateWallet
updateTransaction
deleteWallet
isValidAddress


| Vehicle # | Year | Make | Model | Price |
|---|---|---|---|---|
| 1 | 1957 | Ford | Thunderbird | 14,000 |
| 2 | 1958 | 236 CHAPTER 5 More HTML5Chevrolet | Impala | 3,000 |
| 3 | 2012 | BMW | Z4 | 40,000 |
| 4 | 2003 | Madza | Miata | 5,000 |
| Total: | 62,000 |
| Vehicle # | Year | Make | Model | Price |
|---|---|---|---|---|
| 1 | 1957 | Ford | Thunderbird | 14,000 |
| 2 | 1958 | 236 CHAPTER 5 More HTML5Chevrolet | Impala | 3,000 |
| 3 | 2012 | BMW | Z4 | 40,000 |
| 4 | 2003 | Madza | Miata | 5,000 |
| Total: | 62,000 |


Please take a moment to rate your walker's performance. Add a photo link of your dog from social media.


WHAT WE DO
DESIGN
DESIGN
We offer the best designs withing the country
we have both local and international markets that we sereve
with our creative works that has seen the company make unimaginable profits
DEVELOPMENT
DEVELOPMENT
we have a team of developers and software engineers
who not only build upto standard programs and softwares but know
how to handle and relate with clients
PRODUCT MANAGEMENT
PRODUCT-MANAGEMENT
We manage the why, when, and what of the product that the developing team builds.
This means we lead cross-functional teams from a product's conception all the way through to its launch.


This is the book add page. If you are lost click the right link:
website
Add a new Book
ISBN
Book Name
Price
Author


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
T
- the type of the beanpublic interface BeanBuilder<T extends Bean>
A builder for a bean, providing a safe way to create it.
This interface allows a bean to be created even if it is immutable.
| Method Summary | |
|---|---|
T |
build()
Builds the bean from the state of the builder. |
Object |
get(MetaProperty<?> metaProperty)
Gets the value of a single property previously added to the builder. |
Object |
get(String propertyName)
Gets the value of a single property previously added to the builder. |
BeanBuilder<T> |
set(MetaProperty<?> metaProperty,
Object value)
Sets the value of a single property into the builder. |
BeanBuilder<T> |
set(String propertyName,
Object value)
Sets the value of a single property into the builder. |
BeanBuilder<T> |
setAll(Map<String,? extends Object> propertyValueMap)
Sets the value of a map of properties into the builder. |
BeanBuilder<T> |
setString(MetaProperty<?> metaProperty,
String value)
Sets the value of a single property into the builder. |
BeanBuilder<T> |
setString(String propertyName,
String value)
Sets the value of a single property into the builder. |
| Method Detail |
|---|
Object get(String propertyName)
propertyName
- the property name to query, not null
RuntimeException
- thrown if the property name is invalidObject get(MetaProperty<?> metaProperty)
metaProperty
- the meta-property to query, not null
RuntimeException
- thrown if the property is invalidBeanBuilder<T> set(String propertyName, Object value)
This will normally behave as per a Map
, however it may not
and as a general rule callers should only set each property once.
propertyName
- the property name to set, not nullvalue
- the property value, may be null
this
, for chaining, not null
RuntimeException
- optionally thrown if the property name is invalidBeanBuilder<T> set(MetaProperty<?> metaProperty, Object value)
This will normally behave as per a Map
, however it may not
and as a general rule callers should only set each property once.
metaProperty
- the meta-property to set, not nullvalue
- the property value, may be null
this
, for chaining, not null
RuntimeException
- optionally thrown if the property is invalidBeanBuilder<T> setString(String propertyName, String value)
This converts the string to the correct type for the property. Conversion uses Joda-Convert.
This will normally behave as per a Map
, however it may not
and as a general rule callers should only set each property once.
propertyName
- the property name to set, not nullvalue
- the property value, may be null
this
, for chaining, not null
RuntimeException
- optionally thrown if the property name is invalidBeanBuilder<T> setString(MetaProperty<?> metaProperty, String value)
This converts the string to the correct type for the property. Conversion uses Joda-Convert.
This will normally behave as per a Map
, however it may not
and as a general rule callers should only set each property once.
metaProperty
- the meta-property name to set, not nullvalue
- the property value, may be null
this
, for chaining, not null
RuntimeException
- optionally thrown if a property is invalidBeanBuilder<T> setAll(Map<String,? extends Object> propertyValueMap)
Each map entry is used as the input to set(String, Object)
.
This will normally behave as per a Map
, however it may not
and as a general rule callers should only set each property once.
propertyValueMap
- the property name to value map, not null
this
, for chaining, not null
RuntimeException
- optionally thrown if a property name is invalidT build()
Once this method has been called, the builder is in an invalid state. The effect of further method calls is undetermined.
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Class ExpressionCompiler
Implementation of the ITargetCompiler interface which produces ICompiledTarget objects by building and compiling expression trees from the ITarget objects which are registered.
Inherited Members
Namespace: Rezolver.Compilation.Expressions
Assembly: Rezolver.dll
Syntax
public class ExpressionCompiler : IExpressionCompiler, ITargetCompiler
Remarks
Use of this compiler by a container is enabled by applying the ExpressionCompilation Instance to the container either on construction (for example, via the Container(IRootTargetContainer, IContainerConfig) constructor) or via the DefaultConfig - which currently configures this compiler by default anyway.
This class works by directly resolving IExpressionBuilder instances which can build an expression for a given ITarget from the IExpressionCompileContext.
Typically, this is done by searching for an IExpressionBuilder<TTarget> where 'TTarget' is equal to the runtime type
of the target - e.g. ConstructorTarget. If one cannot be found, it will then search for an IExpressionBuilder
whose CanBuild(ITarget) function returns true
for the given target.
With a correctly configured target container this should resolve to an instance of the ConstructorTargetBuilder
class, which implements IExpressionBuilder<ConstructorTarget>
.
As such, the compiler can be extended to support extra target types and its existing expression builders can be replaced for customised behaviour because they are all resolved from the ITargetContainer underpinning a particular CompileContext.
There is a caveat for this, however: you cannot use the traditional targets (ConstructorTarget etc) to extend the compiler because they need to be compiled in order to work - which would cause an infinite recursion.
Therefore, the targets which are registered as expression builders must directly implement either the IExpressionBuilder<TTarget> or IExpressionBuilder interfaces; or implement the ICompiledTarget interface and produce an instance of those interfaces when GetObject(IResolveContext) is called on them.
Because of this requirement, the most common way to register an expression builder is to register an instance inside an ObjectTarget against the correct type, because that class does implement ICompiledTarget in addition to ITarget.
Using this pattern, it's important that an expression builder is completely threadsafe and recursion safe (since one target's compilation might depend on the compilation of another of the same type).
Properties
| Improve this Doc View SourceDefault
Gets the default expression compiler. It's this that the ExpressionCompilation registers.
Declaration
public static ExpressionCompiler Default { get; }
Property Value
| Type | Description |
|---|---|
| ExpressionCompiler |
Methods
| Improve this Doc View SourceBuild(ITarget, IExpressionCompileContext)
Called to build an expression for the specified target for the given IExpressionCompileContext - implementation of the Build(ITarget, IExpressionCompileContext) method.
Declaration
public Expression Build(ITarget target, IExpressionCompileContext context)
Parameters
| Type | Name | Description |
|---|---|---|
| ITarget | target | The target for which an expression is to be built |
| IExpressionCompileContext | context | The compilation context. |
Returns
| Type | Description |
|---|---|
| Expression |
Remarks
This implementation first looks for an Rezolver.Compilation.Expressions.IExpressionCompilationFilter as an option from the
context
. If one is obtained, its Rezolver.Compilation.Expressions.IExpressionCompilationFilter.Intercept(Rezolver.ITarget,Rezolver.Compilation.Expressions.IExpressionCompileContext,Rezolver.Compilation.Expressions.IExpressionCompiler)
method is called and, if it returns a non-null Expression, then that expression is used.
Otherwise, the normal behaviour is to attempt to resolve an IExpressionBuilder<TTarget> (with TTarget"
equal to the runtime type of the target
) or IExpressionBuilder whose
CanBuild(ITarget) function returns true
for the given target and context.
If that lookup fails, then an ArgumentException is raised. If the lookup succeeds, then the builder's
Build(ITarget, IExpressionCompileContext, IExpressionCompiler) function is called, and the expression it
produces is returned.
Exceptions
| Type | Condition |
|---|---|
| ArgumentException | If the compiler is unable to resolve an IExpressionBuilder from
the |
BuildCompiledTargetForLambda(ITarget, Expression<Func<IResolveContext, Object>>)
Creates an ICompiledTarget from the finalised lambda
expression which was
previously built for a target.
Declaration
protected virtual ICompiledTarget BuildCompiledTargetForLambda(ITarget target, Expression<Func<IResolveContext, object>> lambda)
Parameters
| Type | Name | Description |
|---|---|---|
| ITarget | target | The ITarget from which the passed |
| Expression<Func<IResolveContext, Object>> | lambda | The lambda expression representing the code to be executed in order to get the underlying object which will be resolved. Typically, this is fed directly from the BuildResolveLambda(Expression, IExpressionCompileContext) implementation. |
Returns
| Type | Description |
|---|---|
| ICompiledTarget |
BuildResolveLambda(Expression, IExpressionCompileContext)
Takes the unoptimised expression built for a target and optimises it and turns it into a lambda expression ready to be compiled into an ICompiledTarget.
Declaration
public virtual Expression<Func<IResolveContext, object>> BuildResolveLambda(Expression expression, IExpressionCompileContext context)
Parameters
| Type | Name | Description |
|---|---|---|
| Expression | expression | The expression. |
| IExpressionCompileContext | context | The context. |
Returns
| Type | Description |
|---|---|
| Expression<Func<IResolveContext, Object>> |
CompileTarget(ITarget, ICompileContext)
Create the ICompiledTarget for the given target
using the context
to inform the type of object that is to be built, and for compile-time dependency resolution.
Declaration
public ICompiledTarget CompileTarget(ITarget target, ICompileContext context)
Parameters
| Type | Name | Description |
|---|---|---|
| ITarget | target | Required. The target to be compiled. |
| ICompileContext | context | Required. The current compilation context. |
Returns
| Type | Description |
|---|---|
| ICompiledTarget |
Exceptions
| Type | Condition |
|---|---|
| ArgumentException | context must be an instance of IExpressionCompileContext |
CreateContext(IResolveContext, ITargetContainer)
Implementation of CreateContext(IResolveContext, ITargetContainer)
Declaration
public ICompileContext CreateContext(IResolveContext resolveContext, ITargetContainer targets)
Parameters
| Type | Name | Description |
|---|---|---|
| IResolveContext | resolveContext | |
| ITargetContainer | targets |
Returns
| Type | Description |
|---|---|
| ICompileContext |
ResolveBuilder(ITarget, IExpressionCompileContext)
Resolves an expression builder that can build the given target for the given compile context.
Or
Returns null if no builder can be found.
Declaration
public virtual IExpressionBuilder ResolveBuilder(ITarget target, IExpressionCompileContext context)
Parameters
| Type | Name | Description |
|---|---|---|
| ITarget | target | The target. |
| IExpressionCompileContext | context | The context. |
Returns
| Type | Description |
|---|---|
| IExpressionBuilder |
Remarks
The function builds a list of all the types in the hierarchy represented
by the type of the target
and, for each of those types which are
compatible with ITarget, it looks for an IExpressionBuilder<TTarget>
which is specialised for that type. If no compatible builder is found, then it attempts
to find a general purpose IExpressionBuilder which can build the type.


An asynchronous lock that holds your callback in a queue until the locak is available. Optionally provides setup and/or takedown functions and a timeout that releases the lock (and calls any takedown function) if it is not freed.
An asynchronous lock that holds your callback in a queue until the locak is available. Optionally provides setup and/or takedown functions and a timeout that releases the lock (and calls any takedown function) if it is not freed.


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We describe a dynamic load-balancing strategy for parallel finite element methods with adaptive mesh (h-) and order (p-) refinement. The load-balancing algorithm is based on the tiling load-balancing system, where global balance is achieved by performing local balancing within overlapping neighborhoods of processors. Tiling is applied to each mesh level created by the adaptive h-refinement. Weights are used in the migration routines to reflect the nonuniform elemental work loads caused by adaptive p-refinement. The combination of adaptive refinement and tiling significantly reduces total execution time relative to fixed-mesh, fixed-order methods yielding comparable accuracy, as we demonstrate with experiments on an nCUBE/2.


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pycopancore.model_components.environmental_awareness.implementation package¶
Submodules¶
pycopancore.model_components.environmental_awareness.implementation.culture module¶
Culture process taxon mixing class template.
-
class
pycopancore.model_components.environmental_awareness.implementation.culture.
Culture
[source]¶ Bases:
pycopancore.model_components.environmental_awareness.interface.Culture
Culture process taxon mixin implementation class.
-
processes
= [update individuals' awareness]¶
-
-
pycopancore.model_components.environmental_awareness.implementation.culture.
exponential
(scale=1.0, size=None)¶ Draw samples from an exponential distribution.
Its probability density function is
\[f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),\]for
x > 0
and 0 elsewhere. \(\beta\) is the scale parameter, which is the inverse of the rate parameter \(\lambda = 1/\beta\). The rate parameter is an alternative, widely used parameterization of the exponential distribution [3]_.The exponential distribution is a continuous analogue of the geometric distribution. It describes many common situations, such as the size of raindrops measured over many rainstorms [1]_, or the time between page requests to Wikipedia [2]_.
Parameters: - scale (float or array_like of floats) – The scale parameter, \(\beta = 1/\lambda\).
- size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g.,
(m, n, k)
, thenm * n * k
samples are drawn. If size isNone
(default), a single value is returned ifscale
is a scalar. Otherwise,np.array(scale).size
samples are drawn.
Returns: out – Drawn samples from the parameterized exponential distribution.
Return type: ndarray or scalar
References
[1] Peyton Z. Peebles Jr., “Probability, Random Variables and Random Signal Principles”, 4th ed, 2001, p. 57. [2] Wikipedia, “Poisson process”, http://en.wikipedia.org/wiki/Poisson_process [3] Wikipedia, “Exponential distribution”, http://en.wikipedia.org/wiki/Exponential_distribution
-
pycopancore.model_components.environmental_awareness.implementation.culture.
uniform
(low=0.0, high=1.0, size=None)¶ Draw samples from a uniform distribution.
Samples are uniformly distributed over the half-open interval
[low, high)
(includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform.Parameters: - low (float or array_like of floats, optional) – Lower boundary of the output interval. All values generated will be greater than or equal to low. The default value is 0.
- high (float or array_like of floats) – Upper boundary of the output interval. All values generated will be less than high. The default value is 1.0.
- size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g.,
(m, n, k)
, thenm * n * k
samples are drawn. If size isNone
(default), a single value is returned iflow
andhigh
are both scalars. Otherwise,np.broadcast(low, high).size
samples are drawn.
Returns: out – Drawn samples from the parameterized uniform distribution.
Return type: ndarray or scalar
See also
randint()
- Discrete uniform distribution, yielding integers.
random_integers()
- Discrete uniform distribution over the closed interval
[low, high]
. random_sample()
- Floats uniformly distributed over
[0, 1)
. random()
- Alias for random_sample.
rand()
- Convenience function that accepts dimensions as input, e.g.,
rand(2,2)
would generate a 2-by-2 array of floats, uniformly distributed over[0, 1)
.
Notes
The probability density function of the uniform distribution is
\[p(x) = \frac{1}{b - a}\]anywhere within the interval
[a, b)
, and zero elsewhere.When
high
==low
, values oflow
will be returned. Ifhigh
<low
, the results are officially undefined and may eventually raise an error, i.e. do not rely on this function to behave when passed arguments satisfying that inequality condition.Examples
Draw samples from the distribution:
>>> s = np.random.uniform(-1,0,1000)
All values are within the given interval:
>>> np.all(s >= -1) True >>> np.all(s < 0) True
Display the histogram of the samples, along with the probability density function:
>>> import matplotlib.pyplot as plt >>> count, bins, ignored = plt.hist(s, 15, normed=True) >>> plt.plot(bins, np.ones_like(bins), linewidth=2, color='r') >>> plt.show()
pycopancore.model_components.environmental_awareness.implementation.individual module¶
Individual entity type class template.
TODO: adjust or fill in code and documentation wherever marked by “TODO:”, then remove these instructions
-
class
pycopancore.model_components.environmental_awareness.implementation.individual.
Individual
[source]¶ Bases:
pycopancore.model_components.environmental_awareness.interface.Individual
Individual entity type mixin implementation class.
-
processes
= []¶
-
-
pycopancore.model_components.environmental_awareness.implementation.individual.
exponential
(scale=1.0, size=None)¶ Draw samples from an exponential distribution.
Its probability density function is
\[f(x; \frac{1}{\beta}) = \frac{1}{\beta} \exp(-\frac{x}{\beta}),\]for
x > 0
and 0 elsewhere. \(\beta\) is the scale parameter, which is the inverse of the rate parameter \(\lambda = 1/\beta\). The rate parameter is an alternative, widely used parameterization of the exponential distribution [3]_.The exponential distribution is a continuous analogue of the geometric distribution. It describes many common situations, such as the size of raindrops measured over many rainstorms [1]_, or the time between page requests to Wikipedia [2]_.
Parameters: - scale (float or array_like of floats) – The scale parameter, \(\beta = 1/\lambda\).
- size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g.,
(m, n, k)
, thenm * n * k
samples are drawn. If size isNone
(default), a single value is returned ifscale
is a scalar. Otherwise,np.array(scale).size
samples are drawn.
Returns: out – Drawn samples from the parameterized exponential distribution.
Return type: ndarray or scalar
References
[1] Peyton Z. Peebles Jr., “Probability, Random Variables and Random Signal Principles”, 4th ed, 2001, p. 57. [2] Wikipedia, “Poisson process”, http://en.wikipedia.org/wiki/Poisson_process [3] Wikipedia, “Exponential distribution”, http://en.wikipedia.org/wiki/Exponential_distribution
pycopancore.model_components.environmental_awareness.implementation.social_system module¶
SocialSystem entity type mixing class template.
TODO: adjust or fill in code and documentation wherever marked by “TODO:”, then remove these instructions
Bases:
pycopancore.model_components.environmental_awareness.interface.SocialSystem
SocialSystem entity type mixin implementation class.
Module contents¶
Model component implementation subpackage template.