Mr.Soo Cho CHO HUNG BANK. 14 1-ka Namdaemun-ro Chung-ku Seoul, Seoul 100-757 South Korea. www.chohungbank.co.kr I am Mr.Soo Cho, credit officer of CHO HUNG BANK. I have an urgent and very confidential business proposition for you. On July 8, 2000, a British Oil consultant/contractor with the South Korea Solid Minerals Corporation, Mr. Phillip Morris made a numbered time (Fixed) Deposit for twelve calendar months, valued at (Twenty-eight Million Three Hundred Thousand American Dollars only) in my branch. Upon maturity,I sent a routine notification to his forwarding address but got no reply. After a month, we sent a reminder and finally we discovered from his contract employers, that Mr. Phillip Morris died from an auto-mobile accident. On further investigation, I found out that he died without making a WILL,and all attempts to trace his next of kin was fruitless. I therefore made further investigation and discovered that Mr.Phillip Morris did not declare any kin or relations in all his official documents,including his Bank Deposit paperwork in my Bank.This sum of $28,300,000.00 is still sitting in my Bank and the interest is being rolled over with the principal sum at the end of each year. No one will ever come forward to claim it. According to Laws of South Korea, at the expiration of (five) years,the money will revert to the ownership of the South Korea Government if nobody applies to claim the fund. Consequently, my proposal is that I will like you as a foreigner to stand in as the next of kin to Mr. Phillip Morris so that the fruits of this old man's labor will not get into the hands of some corrupt government officials. This is simple, I will like you to provide immediately your full names and address so that the attorney will prepare the necessary documents and affidavits that will put you in place as the next of kin. We shall employ the services of an attorney for drafting and notarization of the WILL and to obtain the necessary documents and letter of probate/administration in your favor for the transfer. A bank account in any part of the world that you will provide the will, then facilitate the transfer of this money to you as the beneficiary/next of kin. The money will be paid into your account for us to share in the ratio of 70%for me and 25% for you and 5% for Expenses Incurred in the course of the transaction . There is no risk at all as all the paperwork for this transaction will be done by the attorney and with my position as the credit officer guarantees the successful execution of this transaction. If you are interested, please reply immediately to my email box. Upon your response, I shall then provide you with more details that will help you understand the transaction. Please send me your confidential telephone and fax numbers for easy communication. You should observe utmost confidentiality, and rest assured that this transaction would be most profitable for both of us because I shall require your assistance to invest my share in your country. Regards, Soo Cho N.B:Endeavour to send your reply through my alternative e-mail address:soo@financesource.com


Text copied from
http://www.geocities.com/mparker762/clawk
REGEX package
The regex engine is a pretty full-featured matcher, and
thus is useful by itself. It was originally written as a
prototype for a C++ matcher, though it has since diverged
greatly.
The regex compiler supports the following pattern syntax:
- ^ matches the start of a string.
- $ matches the end of a string.
- [...] denotes a character class.
- [^...] denotes a negated character class.
- [:...:] denotes a special character class.
- [:alpha:] == [A-Za-z]
- [:upper:] == [A-Z]
- [:lower:] == [a-z]
- [:digit:] == [0-9]
- [:alnum:] == [A-Za-z0-9]
- [:xdigit:] == [A-Fa-f0-9]
- [:space:] == whitespace
- [:punct:] == punctuation marks
- [:graph:] == printable characters other than space
- [:cntrl:] == control characters
- [:word:] == wordlike characters
- [^:...:] denotes a negated special character class.
- . matches any character.
- (...) delimits a regex subexpression. Also denotes a
register pattern.
- (?...) denotes a regex subexpression that will
not be captured in a register.
- (?=...) denotes a regex
subexpression that will be used as a forward lookahead.
If the subexpression matches, then the rest of the match
will continue as if the lookahead match had not occurred
(i.e. it does not consume the candidate string). It will
not be captured in a register, though it can contain
subexpressions that may be captured.
- (?!...) denotes a regex subexpression that will be used
as a negative forward lookahead (the match will continue only
if the lookahead failed to match). It will not be
captured in a register, though it can contain
subexpressions that may be captured.
- * denotes the kleene closure of the previous regex
subexpression.
- + denotes the positive closure of the previous regex
subexpression.
- *? denotes the non-greedy kleene closure of the
previous regex subexpression.
- +? denotes the non-greedy positive closure of the
previous regex subexpression.
- ? denotes the greedy match of 0 or 1 occurrences of
the previous regex subexpression.
- ?? denotes the non-greedy match of 0 or 1 occurrences
of the previous regex subexpression.
- \nn denotes a back-match against the contents of a
previously-matched register.
- {nn,mm} denotes a bounded repetition.
- {nn,mm}? denotes a non-greedy bounded repetition.
- \n, \t, \r have their normal meanings.
- \d matches any decimal character,
\D matches any nondecimal character.
- \w matches any wordlike
character, \W matches any nonwordlike character.
- \s matches any whitespace
character, \S matches any nonspace character.
- \< matches at the start of a
word. \> matches at the end of a word.
- \<char> that character (escapes an otherwise
special meaning).
- Special characters lose their specialness when
escaped. There is a flag to control this.
- All other characters are matched literally.
There are a variety of functions in the REGEX package
that allow the programmer to adjust the allowable regular
expression syntax:
- The function ESCAPE-SPECIAL-CHARS allows you to change
whether the meta-characters have their magic meaning when
escaped or unescaped. The default behavior (per AWK
syntax) is that special chars are unescaped.
- The function ALLOW-BACKMATCH allows you to change
whether or not the \nn syntax is allowed. By default it
is allowed.
- The function ALLOW-RANGEMATCH allows you to change
whether or not the the {nn,mm} bounded repetition syntax
is allowed. By default it is allowed.
- The function ALLOW-NONGREEDY-QUANTIFIERS allows you to
change whether or not the *?, +?, ??, and {nn,mm}?
quantifiers are recognized. By default they are
allowed.
- The function ALLOW-NONREGISTER-GROUPS allows you to
change whether or not the (?...) syntax is recognized. By
default it is allowed.
- The function DOT-MATCHES-NEWLINE allows you to change
whether '.' in a pattern matches the newline character.
This is false by default.
Parenthesized expressions within the pattern are
considered a register pattern, and will be recorded for use
after the match. There is an implicit set of parentheses
around the entire expression, so the bounds of the matched
text itself will always occupy register 0.
Extensions that will be coming soon include:
- I am working on a second backend for the regex
compiler that generates an even faster matcher (~4-20x
faster on Symbolics, ~ 2x faster on LWW). The compilation
process itself is substantially slower. I've got some
more work to do to get the speed up even further on
Lispworks, although the current system is already much,
much faster than GNU Regex.
- Optionally allowing a negated regex pattern using the
<pattern> '^' syntax. This also subsumes the
negated character class in that
[^...]
===
[...]^
.
- Faster scans by using a possible-prefix set. This
isn't real high priority at the moment since matching is
plenty fast already :-)
- Prefix and postfix context patterns ala LEX.
Regex has been recently enhanced. Everything from the
parser back has been completely rewritten. The regex system
now includes a bunch of functions for manipulating regex
parse trees directly, a multipass optimizer and code
generator, and a new matching engine.
The new regex system does a better job of optimizing a
wider range of patterns. It also supports an extension that
allows you to provide an "accept" function to the match-str
function. This acceptfn takes the start and end position as
parameters, and can find the string itself in the special
variable *STR* and the registers in the special variable
*regs*. It returns either nil to force the matcher to
backtrack, or a non-nil value which will be returned as
the success code for the match.
An additional change is that register patterns within
quantified patterns now return the leftmost occurrence in
the source string. There is a flag to force the more usual
rightmost match, but this will reduce the applicability of
many critical optimizations.
The latest version of regex supports the Perl \d, \D, \w,
\W, \s, and \S metasequences, as well as the egrep \<
start-of-word and \> end-of-word metasequences.
Michael Parker


JavaScript 5 - Switch Statements
Projected Time
About 60 minutes
- 15 minutes for lesson
- 30 minutes for Independent Practice
- 15 minutes for Check for Understanding
Prerequisites
Motivation
JavaScript is used on the frontend of almost every website. It’s also a widely-used scripting language that be used on the backend as well. The JavaScript lessons set a solid foundation in JavaScript basics so we can use the language in more robust ways in later lessons.
Objectives
Participants will be able to:
- Know when to use a switch statement instead of an if/else statement
- Write a switch statement using proper syntax
Specific Things to Learn
- when to use a switch statement
- switch syntax
Lesson
JavaScript 5 (Video walkthrough of lesson slides)
- Please watch the video the first time without working along with the demonstration. Just absorb the concepts. Then, you can watch the demonstration a second time and code with the instructor if you like.
Materials
JavaScript 5 - Switch Statements (slides)
Common Mistakes / Misconceptions
You need a break
statement at the end of each case
.
There is no comparison operator in a switch statement, but there is one in the if/else statement
Independent Practice
Techtonica staff will assign pairs.
Refer back to the calculator activity from the JavaScript 1 lesson. Refactor your code to replace your if/else statement(s) with switch statement(s).
Challenges
Refer back to the movie night activity from the JavaScript 3 lesson. Refactor your code to replace your if/else statement(s) with switch statement(s).
Supplemental Materials
Check for Understanding
- Write down the syntax of a switch statement in JavaScript.
- What will happen if break is not used in a switch statement?
- What is the advantage of using a switch statement over an if/else statement?
- Using a switch statement, write a program to accept a lower case letter. Create an alert with the text ‘This letter is a vowel’ if the letter is a vowel.
Extensions
Complete these HackerRank Challenges:


--- layout: player title: Pustoi permalink: /teams/LeageuofLegends/Pustoi category: LoL-player ---
Gerald 'Pustoi' Richland is a senior at The Ohio State University majoring in economics. In League of Legends, Pustoi is a high diamond AD Carry, and has been for the past 3 seasons. As one half of Ohio State University's bot lane, Pustoi is tasked with outputting as much damage as possible while staying out of harm’s way. His knowledge of bot lane match ups allows Pustoi to excel in the laning phase while his safe positioning enables him to shred the enemy frontline during team fights. On some of his favorite champions like Lucian and Ezreal, Pustoi can clean up skirmishes and push his team to victory.


Looping with the ng-repeat Directive
{{people.first_name | uppercase}} - {{ people.gender | lowercase }} - {{ people.from }}


Internet restricted in protest-hit Iran, says report
TEHRAN, Nov 17 — Authorities have restricted internet access in Iran, the semi-official ISNA news agency said today, after nearly two days of nationwide protests triggered by a petrol price hike.
“Access to the internet has been limited as of last night and for the next 24 hours,” an informed source at the information and telecommunications ministry said, quoted by ISNA.
The decision was made by the Supreme National Security Council of Iran and communicated to internet service providors overnight, the source added.
It came after state television accused “hostile media” of trying to use fake news and videos on social media to exaggerate the protests as “large and extensive”.
Netblocks, a website that monitors online services, said late Saturday the country was in the grip of an internet shutdown.
“Confirmed: Iran is now in the midst of a near-total national internet shutdown; realtime network data show connectivity at 7% of ordinary levels after twelve hours of progressive network disconnections,” it said on Twitter.
At least one person was killed and others injured during the demonstrations that started across the country on Friday night, Iranian media said.
The protests erupted hours after it was announced the price of petrol would be increased by 50 per cent for the first 60 litres and 300 per cent for anything above that each month. — AFP


Computer Networks
A computer network is a system in which multiple computers are connected to each other to share information and resources.
Characteristics of a Computer Network -
1. Share resources from one computer to another.
2. Create files and store them in one computer, access those files from the other computer(s) connected over the network.
3. Connect a printer, scanner, or a fax machine to one computer within the network and let other computers of the network use the machines available over the network.
Following is the list of hardware's required to set up a computer network -
1. Network Cables
2. Distributors
3. Routers
4. Internal Network Cards
5. External Network Cards
View Content


{% extends 'base.html' %} {% block title %}Qxf2 Trainer: Did you finish?{% endblock %} {% block content %}
Until you have the momentum of several small technical accomplishments, take a moment to figure out how you are feeling. How does it compare to how you felt before starting the task?


Choose Python to run a model written in Python.
Choose C to run a model written purely in C, without the use any C++.
Choose C++ / C to run a model written in C++, or using a mixture of C++ and C.
Choose Matlab to run a model written in Matlab.
Choose Make for models that use a Makefile recipe.
Choose CMake for models that use a CMake recipe.
Choose LPy for models that utilize LPy systems.
Choose Executable to run a pre-compiled binary.


Shows where you are at the course at any given time. Know exactly what you skipped, what you completed and what is yet to come
Resource materials that can be revisited in order to improve the skill mastery score.
Shows your journey for every skill encountered in the course.
Know your skill knowledge level and track how it compares with your peers.
"I believe in a "Connected World" where individual needs have to be catered and MOOCs which facilitates world class education is not an exception".
"MOOCs has the potential to disrupt the education system completely but I believe we have to start thinking about solutions by placing the people at the centre of it all"
"Introducing user centric design in MOOCs can further empower users to address and serve the growing need to stay updated with latest technological advances"
"Along with technological advancements, increased focus on user needs in MOOCs can contribute greatly towards creating a greater global social impact."


Welcome to Living Connections
Sign in |
Register
Get Started
Your Video Invite
Continue With Current FaceBook Login
Login As Another User
Send FB Post
Events:


Keep me signed in
option enables saving the master password on your computer. It weakens
the security.
Keep me signed in
feature is unsupported by the system,
toggle details.
sudo snap connect {{ projectName }}:password-manager-service


--- doc/index.html.orig 2022-02-23 07:41:04 UTC +++ doc/index.html @@ -32,8 +32,6 @@ Using command line tools About plugins About HP Status Service "system tray" icon (hp-systray) -Uninstalling HPLIP -Upgrading HPLIP Getting help HPLIP Website


--- layout: default title: About ---
Q Smart is an amateur photographer who's interest in photography emerged around 2014 when Q and her family took a trip to London and her father bought her a disposable film camera for the trip. Since then, she has dabbled in sports photography with her high school golf team, concert photography with the Glasgow University Photography Society, and many location portrait shoots with her brother and many of her friends. Some of her favorite places to shoot are at Point Dume, Yosemite National Park, Death Vallley National Park, and the streets of Glasgow, New York City, and Los Angeles. She is self-taught and has always jumped on any opportunity to imporve her skill and expand her knowledge in the field.
She is a third year student at the University of Glasgow, pursuing a Bachelor's of Science in Computing Science.


This is a preliminary outline, use a script to dump all includes into a file with source code. This is for comments. ##whatType() Returns a 0, 1 or 2 depending on the type of effect it's placed into. The function works by using the return-error handling behavior to check for the existence of src1 and src2. If both exist, it's a transition, it only Src1 exists, it's a filter. If neither exist, it's a generator. ## RandomSeedFPS() RandomSeedFPS(value _fakeFPS, value _baseFPS, value _baseDuration, value _baseRatio) Sets randomseed based on the calculated difference between _fakeFPS and _baseFPS. _baseFPS is usually the FPS of the current clip, however it doens't have to be. _baseDuration and _baseRatio are usually the host-clip's Ratio and Duration, but again, these could be anything. _baseFPS should be interlace compensated. The following line corrects the reported FPS to be equal to the field-rate instead of the frame rate. float trueFPS = fps * (fieldprocessing+1); // interlace-corrected FPS using this, any random effect can have its freuqency tied to a virtual frame rate. ##RandomNoiseScaled() RandomNoiseScaled(image _dest, value _noise, value _rFloor, value _rCeil, value _gFloor, value _gCeil, value _bFloor, value _bCeil, value _scale, value _blur, value _aspect, value _colorspace) This is something of an encapsulation function which brings my scaling and blurring features into a portable replacement for RandomNoise. The Amount value is set to match the noise filter in Photoshop. Values 0...100 set the top-end opacity, so the particle opacity ranges from 0-Amount. At 100, particles exist at all opacities. From 100...400 the particle opacities range from amount...100, so there is always some degree of color affecting the image for values in this range. Not sure why Adobe did that, but it's become something of a convention. I may modify that at some future date to de-cruft the intenal math. Blurring is done in a size-optimized buffer, before scaling back to full size. A blur radius of 5 is acutally processed at 2.5. This is faster on two levels, one it uses smaller blurring kernels, and two, the blur operates on fewer pixels. Since there's no point in scaling pixel-noise below 100%, the standard range of scale values is 1...100+ (integers corresponding to percentages). Those values are inverted inside the function and used to create smaller buffers. The function seems to handle very large values, but there's not much point beyond 1000%. The standard Blur input looks like: input noiseScale, "Scale Noise", slider, 200, 100, 1000 label "%"; That's send to the function as `noiseScale/100`. _colorSpace matches the numeric equivalents of the formatting constants kFormatRGB255, kFormatRGB219 and kFormatYUV219, or just send the constant. ##fitRange fitRange(value _rangeFloor, value _rangeCeil, value _centerPoint, value _range, float _floor, float _ceiling ) This is anotehr portability function for a feature I've used in several places. A range of values within another range of values is specified by a center point and range around that center. What this does is limit the range based on proximity to either end of the parent range of values. In a range from 0 to 50, the desired centerpoint is set to 10 and the range is 22. This function would set the bottom of the range to 0 and the top to 20 (center point + distance from center to edge of values). The two last float arguments are assigned the edge values for the range.


Source: https://github.com/Scandal-UK/FluentValidationLister
View validation | Test validation
This is intended to demonstrate using clientside validation rules that are defined when the page initially loads. It also demonstrates parsing and displaying a Problem-Details response from the server-side (untick the checkbox below).
Note that the script for this page is generic, so there is an expectation that the field names in the JSON match the input names on the form.


Calculate Tax
Status
Corporate
Individual
Payment Months
September
October
November
Income Band
10k - 50k : 5%
50k - 150k : 5.5%
150k - 500k : 6.0%
500k - 2M : 10.0%
Calculate
Amount Due
Proceed to Payment


| Interface | Description |
|---|---|
| ActionFileUpgradeUtil.DownloadIdProvider |
Provides download IDs during action file upgrade.
|
| DownloadCursor |
Provides random read-write access to the result set returned by a database query.
|
| Downloader |
Downloads and removes a piece of content.
|
| Downloader.ProgressListener |
Receives progress updates during download operations.
|
| DownloaderFactory |
Creates
Downloaders for given DownloadRequests . |
| DownloadHelper.Callback |
A callback to be notified when the
DownloadHelper is prepared. |
| DownloadIndex |
An index of
Downloads . |
| DownloadManager.Listener |
Listener for
DownloadManager events. |
| FilterableManifest<T> |
A manifest that can generate copies of itself including only the streams specified by the given
keys.
|
| WritableDownloadIndex |
A writable index of
Downloads . |
| Class | Description |
|---|---|
| ActionFileUpgradeUtil |
Utility class for upgrading legacy action files into
DefaultDownloadIndex . |
| DefaultDownloaderFactory |
Default
DownloaderFactory , supporting creation of progressive, DASH, HLS and
SmoothStreaming downloaders. |
| DefaultDownloadIndex |
A
DownloadIndex that uses SQLite to persist Downloads . |
| Download |
Represents state of a download.
|
| DownloaderConstructorHelper |
A helper class that holds necessary parameters for
Downloader construction. |
| DownloadHelper |
A helper for initializing and removing downloads.
|
| DownloadManager |
Manages downloads.
|
| DownloadProgress |
Mutable
Download progress. |
| DownloadRequest |
Defines content to be downloaded.
|
| DownloadService |
A
Service for downloading media. |
| FilteringManifestParser<T extends FilterableManifest<T>> |
A manifest parser that includes only the streams identified by the given stream keys.
|
| ProgressiveDownloader |
A downloader for progressive media streams.
|
| SegmentDownloader<M extends FilterableManifest<M>> |
Base class for multi segment stream downloaders.
|
| SegmentDownloader.Segment |
Smallest unit of content to be downloaded.
|
| StreamKey |
A key for a subset of media which can be separately loaded (a "stream").
|
| Exception | Description |
|---|---|
| DownloadException |
Thrown on an error during downloading.
|
| DownloadRequest.UnsupportedRequestException |
Thrown when the encoded request data belongs to an unsupported request type.
|
| Annotation Type | Description |
|---|---|
| Download.FailureReason |
Failure reasons.
|
| Download.State |
Download states.
|


--- layout: page title: About header-img: "img/about-bg.png" ---
Aspiring software developer. Currently working my way through The Flatiron School's Online Developer Program.


detekt report
Metrics
-
number of kt files: 25
-
number of packages: 4
-
number of classes: 27
-
number of functions: 42
-
number of properties: 72
Findings
complexity
NestedBlockDepth
Excessive nesting leads to hidden complexity. Prefer extracting code to make it easier to understand.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/HeaderBuilder.kt:16:5
Function build is nested too deeply.
ComplexMethod
Prefer splitting up complex methods into smaller, easier to understand methods.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBodyBuilder.kt:58:5
The function buildReturn appears to be too complex.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/BodyBuilder.kt:20:5
The function build appears to be too complex.
performance
SpreadOperator
Using a spread operator causes a full copy of the array to be created before calling a method has a very high performance penalty.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/PoetExt.kt:13:62
Using a spread operator causes a full copy of the array to be created before calling a method has a very high performance penalty.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBuilder.kt:52:34
Using a spread operator causes a full copy of the array to be created before calling a method has a very high performance penalty.


Merge user roles
After the merge, all users assigned to the "merge from" role will be re-assigned to the "merge into" role.
The original "merge from" role will remain in the system but will become eligible for deletion.
NOTE: The admin role is not eligible for merging.
Use caution when using this feature - changes cannot be undone once the merge is complete.
{{ ctrl.userRole.name }}
({{ ctrl.userRole.users_count }} users)
{{ ctrl.mergeIntoId | json }}


@(characterName : String, crew : String, crewMembers : String)
You should have paid more attention to your intuition. You run ashore while trying to turn around in the latest dead end bay. While trying to patch up the ship you and your crew are almost eaten by a rampaging herd of feral kittens. The kittens destroy what remains of your ship.  The end for @characterName.
Current crew size: @crew
Remaining Crew Members: @crewMembers


Account Balance App
Income
Expense
Add
Reset
Income
Expense
Balance
This account is for
Sulaymon Tajudeen
. Account Balance:
--


Plugin Information |
|---|
View Metadata on the plugin site for more information. |
The current version of this plugin may not be safe to use. Please review the following warnings before use:
This plugin allows metadata to be added to projects, builds and slaves in Jenkins.
Users can add metadata manually on a project or slave via the user interface. Metadata can also be added programmatically through a plugin.
Currently, this can be done when a build starts or when a build ends. The Metadata can then be searched for.
The main idea of the metadata plugin is to make searching for jobs and builds to behave more like a database, and act as an enabler for other plugins.
Once all the information about a project is gathered in one place, plugins can be developed to use this information, as well as to provide information.
The more plugins that provide information, the more usable data you can search for.
As an example of using the information, look at the External Resource Dispatcher plugin.
Metadata definitions and values
We differentiate between MetadataDefinitions and MetadataValues. The idea comes from the parameter setup in Jenkins.
A MetadataValue is what's set on the configuration page of a project or slave and is also what is saved for a build.
MetadataDefinitions are used by admins for making sure that certain metadata exist on all projects.
A MetadataDefinition is set up through a special configuration page, configuring a name and default value for the definition.
Once set, the MetadataDefinition will end up in all projects on the server, prompting the user to set a value for it when the project is configured.
MetadataDefinitions are then converted to MetadataValues.
Metadata types
- StringMetadataDefinition/Value: Metadata containing string values.
- NumberMetadataDefinition/Value: Metadata containing integer numbers.
- DateMetadataDefinition/Value: Metadata containing date values with optional hour/minute/second values.
- TreeNodeMetadataDefinition/Value: Metadata representing a tree of Metadata. Can contain any kind of Metadata as children, including other trees.
These are the metadata types currently available. More will be added, and plugin developers could add their own types.
Metadata for builds and environment variables.
All MetadataValues for a project will automatically get copied to each build on that project. Metadata for a project or a build can be
seen by clicking the "Metadata" link from the project or the build, respectively.
If "Expose to environment" is checked for a MetadataValue, the value will also be made available as an environment variable like this:
TreeNodeMetadataValue with name "my" with one child, a StringMetadataValue with name "string" and value "value".
This will be converted to an environment variable called MD_MY_STRING with value "value".
That is, MD (short for metadata) will be prepended, and each parent-child bond will be represented by an underscore.
These environment variables can then be used by the build.
Search
The search functionality is accessible through the "Metadata search" link.
Currently, only searching for projects is supported, but builds and slaves will be added.
Searching is done with the syntax metadatavaluename=value && othervaluename=value2
Equals, And and Or (||) are the operators supported so far.
Metadata search view and result.
You can also add a metadata filter to a view where you can provide a search string that will filter out the jobs matching that search.
Extendability
Plugin developers can add their own MetadataDefinitions and Values, by extending either AbstractMetadataDefinition/Value directly or
one of the subclasses. If possible, try to use the existing classes as much as possible when providing data from your plugin as there is
no value in lots of definitions/values that do almost the same thing but with different names.
Other than writing your own MetadataDefinitions and Values, the main way of extending the Metadata plugin is through the contributor classes.
JobMetadataContributor
This ExtensionPoint can be used when you want to automatically add Metadata to a project whenever the project is saved. Extend JobMetadataContributor,
add @Extension to your class, and implement the getMetaDataFor method. Return a list of MetadataValues which will then be added to the project.
BuildMetadataContributor
This ExtensionPoint can be used when you want to automatically add Metadata to a build whenever it is finished. Extend BuildMetadataContributor,
add @Extension to your class, and implement the getMetadataFor method. Return a list of MetadataValues which will then be added to the project.
Roadmap and future
Here is a list of features we would like to see in the Metadata plugin in the future:
- Finalized definitions support. The definitions support isn't yet fully functional, the conversion to values needs to be done.
- Search for builds and nodes based on specific metadata.
- Search for projects with specific metadata in a build of that project.
- More advanced search functionality
- Search optimization
- Support for plugins to add metadata to nodes
- Advanced resource selection criteria
- More definitions and values
- Put the metadata into some kind of database
Change Log
Version 1.1.0b (released Dec 16, 2013)
- Some more work on "definitions"
- JENKINS-20113 Unable to delete metadata job
- JENKINS-20950 NPE during Discard Old Data
Version 1.0b (released Nov 22, 2012)
Initial beta release


Pontypridd Reverse 10 mile
Pontypridd WAL
Website: www.pontypriddroadentsac.org.uk
Race Winners
(34 runnings)
03
Feb
2008
04
Feb
2007
05
Feb
2006
06
Feb
2005
08 Feb
2004
09 Feb
2003
10 Feb
2002
11 Feb
2001
13 Feb
2000
14 Feb
1999
22
Feb
1998
23
Feb
1997
03
Mar
1996
19 Feb
1995
13
Feb
1994
21
Feb
1993
16
Feb
1992
17 Feb
1991
18 Feb
1990
19 Feb
1989
14 Feb
1988
22 Feb
1987
09 Feb
1986
10 Feb
1985
1984
Notes: 1984 was the inaugural year.
The race is
called the Reverse 10 because a marshalling error in its inaugural year caused
all the runners to run the course
in
the wrong
direction.
In recognition of that fact, the mile markers since have always been displayed
in reverse order!
The 2010 and subsequent races include some off-road portions.
12 Mar
2017
56:40
Matthew Evans (WAL)
1:04:42
Angharad Mair (WAL)
04 Sep
2016
54:34
Matthew Edmonds (WAL)
1:00:35
Clara Evans-2
29 Mar
2015
1:00:42
Peter Coles (WAL)
1:03:02
Clara Evans (WAL)
31 Aug
2014
56:17
Daniel Bodman (WAL)
1:07:27
Nicola Gething (WAL)
18 Aug
2013
57:54
Oliver Williams (WAL)
1:06:41
Ceri-Anne Santos(WAL)
30 Sep
2012
52:51
Richard Gardiner-6
1:03:46
Alaw Beynon-Thomas (WAL)
20 Feb
2011
54:22
Richard Gardiner-5
1:05:58
Amy Chalk (ENG)
21 Feb
2010
52:04
Richard Gardiner-4
59:09
Ann-Marie Hutchinson (WAL)
22 Feb
2009
51:33
Richard Gardiner-3
1:03:52
Catherine Dugdale (WAL)
51:13
Nathaniel Lane (WAL)
1:04:11
Anne Fallows (WAL)
50:06
Richard Gardiner-2
59:32
Ruth Pickvance-3
49:50
Richard Gardiner (WAL) (nc)
58:44
Melanie Ellis-3
(nc)
52:52
Julian Baker (WAL)
(nc)
58:41
Mary Wilkinson (ENG)
(nc)
54:00
Nick Janvier-3
1:00:07
Ruth
Pickvance-2
55:27
Nick
Janvier-2
1:02:23
Melanie Ellis-2
55:24
Nick
Janvier (FRA)
1:01:49
Melanie Ellis (WAL)
54:11
Vince Thomas (WAL)
59:38
Ruth
Pickvance (ENG)
52:20
Darren Hiscox (WAL)
1:02:41
Annmarie Richards (WAL)
52:25
Dale Rixon-3
1:01:19
Louise Copp (WAL)
---
n/a
---
n/a
53:10
Dale
Rixon-2
1:10:55
J Quinn (WAL)
52:30
Dale
Rixon (WAL)
1:14:50
Liz Gooch-Harding (WAL)
51:54
Andrew Rees (WAL)
1:03:10
Bernadette Walters-3
49:28
John Edwards-2
1:03:31
Angharad Mair (WAL)
50:34
John
Edwards (WAL)
59:58
Bernadette Walters-2
50:36
Stephen Brace-3
1:00:20
Bernadette Walters
(WAL)
48:09
Stephen Brace-2 (nc)
55:22
Karen McLeod (SCO)
(nc)
48:12
Stephen Brace (WAL) (nc)
56:03
Ceri Pritchard-2
(nc)
49:14
Nigel Adams (WAL)
56:43
Ceri
Pritchard (WAL)
48:37
Geoff Hill (WAL)
58:46
Eryl
Davies-2
48:44
Ieuan
Ellis (WAL)
59:01
Eryl
Davies (WAL)
47:38
Stephen Jones (WAL)
1:01:50
Christine Baber (WAL)
---
n/a
---
n/a
---
n/a
---
n/a
(nc) => Welsh
championship
2005 The Welsh champion was
Frances Gill (4th place, 1:01:54)
1991 The Welsh champion was Ceri Pritchard (2nd place, 55:49)
Most Wins
(1984/date)
Men
4
Richard Gardiner (WAL)
2006-07,2009-10
Women
3
Bernadette Walters (WAL)
1992-93,1995
Melanie Ellis
(WAL)
2002-03,2006
Prize Money
(ADR qualified runners)
No information on prize money has been reported for this race.
Race Time Bias (sec/km)
Year Men Women
1991 -0.1 n/c
1990 -2.2 n/c
Avgs -1.1 n/c
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men
<47:40 1
<48:00 1
<48:20 5
<48:40 8
<49:00 11
<49:20 13
<49:40 18
Women
<55:30 1
<56:00 2
<56:30 3
<57:00 6
<57:30 6
<58:00 8
Last Updated on
15 Mar 2017
Contributor: Mick McGeoch (50)


Introduction
- What is Machine Learning?
- What is Deep Learning?
- Different Architectures of NNs
- Why ANNs are so awesome
What is Machine Learning
- hard to describe, some kind of Buzzword
- Teaching a Machine to do things itself
- Teaching a Machine to describe problems itself
- Teaching a Machine to solve problems itself
What should it do?
- Problem -> Machine Learning -> Solution
- Dataset -> Classification -> Yes/No to a question
- Dataset -> Analysis -> Yes/No to a question
Basic Training Idea
- Dumb NN -> Training -> Solution
- Clever NN -> Testing -> Yes/No to a question
- Training data vs. Test data
Architectures
- Math sector: NN, ENN, RNN, Q-RNN, CNN (not covered)
- Biology sector: HTM engine (not covered here)
- Engineering sector: ANN, NEAT, HyperNEAT, ES/HyperNEAT
Architectures
I think I'm quite sure I'm in between the Biology and Engineering sector. Around 0.65.
Neural Networks
- Idea to build a human brain
- can figure things out on their own (in a limited way)
- reward ("good dog!") to identify good things (yes)
- punish ("bad dog!") to identify bad things (no)
Neural Networks
- How does a Neural Network look like?
Backpropagation
- Idea: NNs will get better over time by rewards
- is just a nested loop of two two-dimensional arrays
- array's 1. dimension is layers (iterate over layers)
- array's 2. dimension is neurons (iterate over neurons)
- outer array is previous set of neurons, inner array is current set of neurons
- If
training_function(current_neuron.value)
> 0.5
, update previous neuron with value
Neural Networks
- can only work with vectors (0.0 - 1.0)
- don't question treatment or punishment
- don't question datasets
- don't question input vectors
- don't question output vectors
Example Neural Network Usage
Problems with Neural Networks
- used as so-called Classifier
- Dataset for cars has 4 vectors (4 wheels) as inputs
- 1,1,0,1 or whatever data representation
- NN gets treatment if found broken car (assuming broken occurs less than working cars)
Neural Networks
- can be seen as dumb Monkeys wanting a banana
- don't question their reward
- don't have a sense of time
- only know good/bad, no matter how long the timespan
- overfitting problem
- first 1000 cars are good means every car is good.
- Want banana now.
Problems with Classification
Problems with Classification
- Datasets can be not finite anymore
- Let's assume 5000 (insert big number here) 4 wheel cars and 10 cars were 6 wheel cars
- 1,1,1,1,1,1 is a good car
- 1,1,1,1,0,0 is a also good car (last 2 vectors not tracked)
Problems with Changing Datasets
- How to adapt to classifications?
- How to adapt to new dataset vectors?
- How to adapt to minimally occuring marginal conditions?
Evolution Cycles
- Evolution as Dominance classification
- "Agents" that compete against each other
- Best agents get to mate and produce babies
- Genome (DNA) represents weights of neurons
Evolution Cycles
Evolution Cycles
- Genome DNA split is randomized
- 2 babies are produced, a son and a daughter
- 2 babies have each more of mothers or fathers genes
Evolution Cycles
Evolution Cycles
- Evolution always wins
- Randomization always wins
Disadvantages of Evolution Cycles
- Adaptive to "bad seasons" (depressive behaviour)
- Adaptive to "good seasons" (optimistic behaviour)
- Needs long time to get better
- Needs parallelization of hundreds of agents
Advantages of Evolution Cycles
- Eventually will always come up with correct classifier
- Adaptive to infinite datasets
- Adaptive to time-based datasets
Backpropagation
- outer last-hidden-layer-update function
- typically sigmoid or gaussian (depending on use case)
Backpropagation
Backpropagation
Backpropagation
- If function result is bigger than 0.5, increase neuron value
- If function result is lower than 0.5, decrease neuron value
Problems with Backpropagation
Problems with Backpropagation
Problems with Backpropagation
- input vectors influence reward function
- time and occurance problem
- 6 wheels occur less than 4 wheels, but still a car
- new reward function necessary for bigger set of inputs
- how to value different rewards for different inputs?
Recurrent Neural Networks
Recurrent Neural Networks
- so-called unfolding neural networks
- hidden layers will unfold in another dimension
- unfolding leads to sense of time/occurance
Recurrent Neural Networks
Disadvantages of RNN
- It's super ineffective (computation time gets longer with more datasets)
- each change in dataset vectors needs manual correction of reward function
- eventually RNNs will always lead to hacking the reward function
- mostly RNNs will end up with a single uber strategy
Advantages of RNN
- can understand labeled data
- very good at generational stuff
- generate what you think a cat is
LSTM Recurrent Neural Network
- Long Short Term Memory RNNs
- forget data and training that was irrelevant
- introduces new hidden layers per hidden layer
- introduces forget gates
LSTM RNN
LSTM RNN
- additional so called forget gates
- values close to zero (neuron output) are ignored
- good at identifying positive values
- very bad at identifying negative values
Disadvantages of LSTM RNN
- very good at reoccuring datasets
- basically the computer variant of captain obvious
- bad for identifying new strategies
- new strategies require combination of multiple RNNs (in line or a graph)
Deep Learning
- Combination of Neural Networks
- focus on having many tiny (easy to compute) NNs
- tiny NNs aim to exist for one specified purpose
- tiny NNs are connected to other neural networks
- each NN's purpose has several inputs
Deep Learning
Disadvantages of Deep Learning
- shitload of NNs and computation time
- literally only feasable in a server cloud
- if used with RNNs complexity gets million-fold real fast
Adaptive Neural Networks
- randomly creates connections between neurons
- randomly removes connections between neurons
Adaptive NNs
Advantages of ANNs
- randomization always wins
- always better than RNNs without manual influence
- unsupervised learning is possible
Disadvantages of ANNs
- cross-talk of neurons can get worse
- lower efficiency than Evolution (parallelization) concepts
NEAT
- Neuro Evolution of Augmenting Topologies
- uses CPPN (Composition Pattern Producing Network)
- genetic algorithm that generates ANNs
- finds best fitness of evolved solutions
- starts minimally and predicts maximum efficiency in growth
NEAT
NEAT History
- can predict dominant genes
- can predict dominant species
- can predict where to spawn neurons
- respects diversity by gene history markers
- tracks history, crossover techniques, speciation
NEAT Agents
- typical NEAT implementation has agents
- best agents get to make babies based on their fitness
NEAT Agents
Advantages of NEAT
- Adaptive to anything
- Figures out anything itself, given enough time
- Mutates connections between neurons (so-called substrates)
- Mutates nodes (neurons) in locations
- history markers are awesome for prediction
HyperNEAT
- Hypercube based encoding for NEAT
- CPPN usage (Compositional Pattern Producing NN)
- Evolutionary algorithms generate neural network
- Describes patterns of connectivity (called encoding)
- Describes patterns like symmetry, repetition and variation of substrates
HyperNEAT
HyperNEAT
- 4D Hypercube (x1 , x2 , y1 , y2) for substrates
- 2D and 3D space is called a substrate
HyperNEAT Geometry
- sees and predicts relations of inputs
Disadvantages of HyperNEAT
- Basically a shitload of necessary pattern data
Advantages of HyperNEAT
- Awesome prediction of geometric relations
- Can see if sensors (inputs) are related to each other
- does not require adaption of reward function
- does not exploit reward function due to patterns
ES-HyperNEAT
- Evolvable substrate HyperNEAT
- places connections (substrates) automatically
- respects neuron cloud density
- respects neuron cloud locations
- can increase substrates via evolution
Advantages of ES-HyperNEAT
- exponential growth of neurons via time
- geometry decides where to place neurons
RTES-HyperNEAT
- Multi-agent implementation of ES-HyperNEAT
- made for realtime (RT) usage
- uses limited epoches for dominance of agents
- best agents produce babies based on fitness
lychee.js CARTEL
- botnet size is above 500k+
- each bot runs thousands of ES-HyperNEATs
- RTES-HyperNEAT is good, but still static in inputs
lychee.js CARTEL
- Humans have no clue about inputs
- Humans have no clue about training data
- Humans have no time for supervised learning
CARTEL/ES-HyperNEAT
- learns which inputs play a role
- learns which training data plays a role
- focus on performance, cache optimization
- focus on delegation for synchronization
CARTEL/ES-HyperNEAT
- Clone-Adaptive Real-Time Evolvable Legation
- adaptive to varying inputs
- adaptive to legation (voted "don" on each bot)
- hashing of inputs/outputs with murmur
- delegating agent clones to do same thing
- using shadow clones to increase fitness
CARTEL/ES-HyperNEAT
CARTEL/ES-HyperNEAT
- decides when randomization is good for evolution
- agent clones can be targeted with opposite datasets
- better variance for sigmoid behaviour
- better variance for gaussian behaviour
- sigmoid vs. gaussian still has to be evaluated
CARTEL/ES-HyperNEAT
- Academic work still needs to be done
- Reference implementation around Sept 2016
- needs some polishing work
- needs code decoupling from lychee.js Engine
- Anybody want to write some papers and help?
Future Stuff
- Idea is to have a RPPN
- Reward Pattern Producing Network
- Goals are hard to determine, given no format of questions
- Questions need to be serializable
- No Idea how to achieve that (yet)
Summary
- github.com/cookiengineer/ANN-Guide (this talk)
- github.com/Artificial-Engineering/lycheejs (reference implementation)
- github.com/Artificial-Engineering/lycheejs-cartel (academic stuff, zero content by now)


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{% include 'herders/profile/stats/table.html' with title="Substats" data=artifacts.substats %}
{% include 'herders/profile/stats/table.html' with title="Main Stat" data=artifacts.main_stat %}
{% include 'herders/profile/stats/table.html' with title="Slot" data=artifacts.slot %}
{% include 'herders/profile/stats/table.html' with title="Quality" data=artifacts.quality %}
{% include 'herders/profile/stats/table.html' with title="Quality (Original)" data=artifacts.quality_original %}


Please use another device
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Varun Engineering Work
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I am a highly competent IT professional with a proven track record in designing websites, developing websites and managing databases. I have strong technical skills as well as excellent interpersonal skills, enabling me to interact with a wide range of clients. I am eager to be challenged in order to grow and further improve my IT skills. My greatest passion is in life is using my technical know-how to benefit other people and organisations.
Software Development (February 2021-August 2021)
I have had privilege joining Moringa school for a coding bootcamp for swoftware developers Fullstack path. I studie web development languages.This include javascript, python, angular, angular and git for version control.
Bsc. Computer Science (September 2016-October 2019)
Being an technical enthusiast, i joined Karatine University to persue bachelor of science in computer science.Studied various fiels including Cryptography,data structures and algorithms, Ict and Society among others.
I create fully scalable and economically viable web applications that boost your business.
Software development with a focus was on back end development and API development & integration.
I also do debugging and deployment.
Being a passionate web developer, I have acquired web development skills in coding and designing.
Its a clone of Intagram app where user are autheticated , and can post and comment on posts made (Python-Django)
visit siteThe application will allow a user to post a project he/she has created and get it reviewed by his/her peers. (Python-Django)
visit siteNeed a blogging app? This is perfect for you. users can reister, create blogs and get reviews from others. (Python-Flask)
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--- layout: post title: Webpage to PDF - Free Online Converter || Printfriendly Alternate date: '2019-10-23T19:02:00.001+05:30' author: Sahil Rajput tags: modified_time: '2019-10-23T19:02:40.812+05:30' blogger_id: tag:blogger.com,1999:blog-5250005448924290719.post-1468732567148830811 blogger_orig_url: https://www.jaadujinn.ml/2019/10/webpage-to-pdf-free-online-converter.html ---


Accra in gridlock as rains pound city
For the umpteenth time major parts of Accra were submerged in floods following torrential rains yesterday.
The about three-hour downpour affected major ancillary roads and highways including the Kasoa-Mallam highway, Odorkor-Kaneshie, Asylum Down and Adabraka roads around the Kwame Nkrumah Circle and the Tetteh Quarshie roundabout.
Aside rendering many roads inaccessible, the floods caused massive vehicular traffic as motorists competed for available safer routes to connect to their destinations.
Many cars unable to drive through the raging waters were found stuck as occupants fled to safer grounds when the Ghanaian Times took a drive through town to assess the situation.
Some daring drivers were also seen making long detours to link to adjoining roads as the runoff water spilled into nearby shops and houses along the highways forcing owners to scoop the volumes of water to avert damages.
Pedestrians were not spared their share of the misfortune as they meandered their way through the waters to safety, sometimes, with the help of some Good Samaritans for a token.
Meanwhile 24-hour forecast released by the Ghana Meteorological Agency (GMet) by midday yesterday said rains was expected to drift to the Western part of the country.
“The current cloudiness with thunderstorms and rain mostly over the south-eastern portions of Ghana will drift westward and affect the western parts of the coastal and middle sectors this afternoon.
The northern sector will continue to experience sunny conditions with periodic clouds,” it added.
It would be recalled that GMet had predicted more rains across the country up to the end of November this year as Ghana is in a minor rainy season.
The agency explained that the volumes of rain being experienced across the country in recent times may appear to be abnormal however it is not out of place, compared to what is usually recorded in the major rainy season.
It has thus cautioned the public to be mindful of daily forecasts issued by the agency before stepping out to avoid any inconvenience.


A game of easy program based on WebGL
Chrome or firefox. IE is buxing
How to control:
Key W : forward
Key S : Back
Key A : Left
Key D : Right
Key Q : Look left
Key E : Look right
Click to start an easy puzzle!
Click to start an unsolvable puzzle!


Endpoint
public protocol Endpoint
Encapsulates an endpoint for a FoodMob service provider. A protocol extension provides the rest of the routes.
-
The root of the application. For example: foodmob.me/api
Declaration
Swift
static var root: String { get }
-
login
Extension methodEndpoint to log a user in.
Declaration
Swift
public static var login: String
-
loginMethod
Extension methodMethod to log a user in.
Declaration
Swift
public static var loginMethod: Alamofire.Method
-
logout
Extension methodEndpoint to log a user out.
Declaration
Swift
public static var logout: String
-
logoutMethod
Extension methodMethod to log a user out.
Declaration
Swift
public static var logoutMethod: Alamofire.Method
-
register
Extension methodEndpoint to register a new user.
Declaration
Swift
public static var register: String
-
registerMethod
Extension methodMethod to register a new user.
Declaration
Swift
public static var registerMethod: Alamofire.Method
-
foodProfile(_:)
Extension methodEndpoint for the food profile (category) information Parameter user: The user whose information we’re looking up or updating
Declaration
Swift
public static func foodProfile(user: User) -> String
-
updateFoodProfileMethod
Extension methodMethod to update food profile for a user.
Declaration
Swift
public static var updateFoodProfileMethod: Alamofire.Method
-
getFoodProfileMethod
Extension methodMethod to get food profile for a user.
Declaration
Swift
public static var getFoodProfileMethod: Alamofire.Method
-
friends(_:)
Extension methodEndpoint for the food profile (category) information Parameter user: The user whose information we’re looking up or updating
Declaration
Swift
public static func friends(user: User) -> String
-
setFriendsMethod
Extension methodMethod to update food profile for a user.
Declaration
Swift
public static var setFriendsMethod: Alamofire.Method
-
getFriendsMethod
Extension methodMethod to get food profile for a user.
Declaration
Swift
public static var getFriendsMethod: Alamofire.Method
-
search
Extension methodSearch API
Declaration
Swift
public static var search: String
-
searchMethod
Extension methodMethod to perform a search
Declaration
Swift
public static var searchMethod: Alamofire.Method


Jakarta Population 2020
10,770,487
Jakarta, or the Special Capital Region of Jakarta, is the capital of Indonesia, the largest city in the country, and one of the most populous urban agglomerations on earth. Jakarta is currently the largest city in Southeast Asia, and its metro area is so large it has its own name: Jabodetabek (for the initials of Jakarta, Bogor, Depok, Tangerang, and Bekasi). Jakarta is located on the coast of Java with an estimated 2016 population of over 10 million people.
Jakarta has an estimated population of over 10 million people in 2016, up from 9,607,787 recorded during the 2010 Census. Jakarta is now considered a global city and one of the fastest growing economies in the world. Interestingly, Jakarta reported the highest return on investment for luxury real estate in 2014 compared to any other city on earth.
City Size and Population Density
The metropolitan area of Jabodetabek has a population that exceeds 30 million with a total area of 4,384 square kilometers (1,693 sq mi). The city proper has a very high population density of 14,464 people per square kilometer (37,460/ sq mi), while the metro area has a density of 4,383 people/sq km (11,353/sq mi).
Geography and Climate
Jakarta is located at the mouth of the Ciliwung Riveron Jakarta Bay on the northwest coast of Java, which is by an inlet of the Java Sea. The northern part of Jakarta is flat alluvial plains. Some areas are below sea level and subject to flooding while the south of Jakarta is my hilly and less prone to flooding. Jakarta is also sinking nearly 17 cm (6.7 inches) each year, which has worsened flooding in the area. This has caused the national government to consider moving the Indonesian capital to a different city.
Jakarta


Random Forest Regression
Feature Selection
Store,DayOfWeek,Promo, StateHoliday, SchoolHoliday, Year, Month, DayOfMonth, StoreType, Assortment, CompetitionDistance, Promo2, CompetitionOpen, PromoOpen
Loss Function
In this project we used RMSE as our loss function. The root-mean-square error (RMSE) is a frequently used measure of the differences between values (sample or population values) predicted by a model or an estimator and the values observed.Based on this our Random Forest model has<PHONE_NUMBER>265082 RMSE
Feature importance in Random Forest Regression
In order to understand better what happened when we ran our randomforest regressor, here is a chart that represents, the importance and role that each variable that i decided to include played in this learning process:Prophet
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality.
Feature Selection
Date,StateHoliday, SchoolHoliday, Sales
Forecast for feature weeks
Trend, yearly seasonality and weekly seasonality of the time series.
Real truth data and the forecasted data
XGBoost
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
Feature Selection
Store,DayOfWeek,Promo, StateHoliday, SchoolHoliday, Year, Month, DayOfMonth, StoreType, Assortment, CompetitionDistance, Promo2, CompetitionOpen, PromoOpen
Loss Function
In this project we used RMSE as our loss function. The root-mean-square error (RMSE) is a frequently used measure of the differences between values (sample or population values) predicted by a model or an estimator and the values observed.Based on this our Random Forest model has<PHONE_NUMBER>302733 RMSE
Feature importance in XGBoost


You can now author, test, build, deploy, and manage your projects and their content from one place.
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Repositories are now based on git, one of the most popular version controls systems available.
Publish and consume rules as simple JAR files following maven conventions thanks to our new java standard packaging programming model.


Before Change
action = torch.clamp(
det_actions + noise,
self.action_space.low * torch.ones_like(det_actions),
self.action_space.high * torch.ones_like(det_actions))
// No exploration -> Return deterministic actions.
else:
After Change
det_actions = action_dist.deterministic_sample()
scale = self.scale_schedule(self.last_timestep)
gaussian_sample = scale * torch.normal(
mean=torch.zeros(self.ou_state.size()), std=1.0) \
.to(self.device)
ou_new = self.ou_theta * -self.ou_state + \
self.ou_sigma * gaussian_sample


This class consists of:
Where we will discuss reading material for the week in lecture, and we will hear from guest lecturers and watch movies in our discussion section.Lectures
Most lectures include a required reading assignment that is to be completed before class. In class, we will discuss the topic first in small groups and then as a class. I will provide a PDF version of the paper to be read and/or a link to a web version of the paper.
To signup to lead a discussion, please add yourself to this Google Doc for the lecture that you'd like to lead (there should be 1-2 students for each lecture). I sync the Google Doc and the course website periodically, so it might take a little bit of time for your addition to show up on the course website.
| Date | Topic | Slides | Required reading and assignment | Optional reading and comments | Discussion leader |
|---|---|---|---|---|---|
| {{row.date}} | {{row.slides|string|safe}} | {{row.topic}} | {{row.required_reading|string|safe}} | {{row.optional_reading|string|safe}} | {{row.disc_leaders}} |
Discussion section
For the six open discussion sections, I'll lead one to talk about my industry experience, we'll watch 2-3 movies, and I'll find 2-3 guest lecturers. Possible topics will include ethics in practice, lessons learned from ethics in other fields, and ethical failures of the field.
| Date | Topic |
|---|---|
| Monday 1/8 | None, first day of class |
| Monday 1/15 | MLK day, no class | Monday 1/22 | The Matrix |
| Monday 1/29 | The Matrix |
| Monday 2/5 | The Matrix |
| Monday 2/12 | TBD |
| Monday 2/19 | Presedent's day, no class |
| Monday 2/26 | We are Legion |
| Monday 3/5 | We are Legion |
| Monday 3/12 | Presentations |


Docker Notes
Reference
Get Started
I spent a couple days going over the basics of Docker.. just wanted to summarize what I’ve learned. I should probably just invest my time in EverNote instead of typing up these markdown pages. But honestly, challenge accepted.
Terms
Image - A read-only package that is housed within a container
Container - This is a runtime of images defined by a Dockerfile. I don’t know what all goes in this yet but it seems to define what directories exist and what ports to open up from the container to the host. More TBD.
Service - Scaling and load balancing. This is where you define what service a container will function as (ie. web) and define parameters like how many container replicas.
Replica - Basically a container instance on a single host machine running docker engine.
Swarm - When you begin clustering multiple docker hosts (with their own docker engines running) then these are called swarms. Apps can quickly be deployed to swarms configured to talk to each other.
Node - A single docker host in a swarm.
Stack - The docker compose basically defines this. It can consist of different services that deploy containers (ie. web, db, etc.)
Note to self - learn YAML.
Commands
General
docker container ls
- list containers on a host
docker service ls
- list services on a host
docker service ps <service>
- show tasks spawned by a service (services run tasks, tasks then spawn containers)
Swarm Manager
docker node ls
- list nodes in a swarm (swarm manager command)
docker stack deploy -c <yaml file> <name>
- Deploy an app to a swarm
docker stack rm <name>
- Undeploy an app from a swarm
docker swarm init
- initialize a swarm manager
docker swarm join --token <blah> ...
- look for this command when performing a swarm init to join nodes to the swarm
docker swarm leave (--force)
- have a node leave a swarm
Other observations
Docker machine
- Used for managing docker engine node machines
- Controls local virtual machines and can utilize virtualbox/hyperv/etc.
- Seems like local virtual machines with multiple docker container could potentially be a good localized development environment?
Docker compose files
- docker-compose is needed (I believe) for compose YAML files to work
- replicas define the number of containers for a given service on a swarm. This means “5” could be 2 on one node, 3 on another in a 2 node swarm.
- overlay networks seem to be distributed networks, or like distributed switches in vmware. More TBD here.
- ports define how to map container ports for a service to the actual host ports that can be connected to
- volumes are used to define common “source of truth” directories for persisting data. More TBD here.
- placement constraints can limit where a particular service is deployed (ie. only node1, not node2, this or that.. blah blah)
Music
Per usual, spinning music is constant for me.
I’ve always been a pretty big fan of Neurosis. This is Steve Von Till’s personal project, and I highly recommend zoning out to it (especially White Horse).
White Horse
The stones call to me, just as they always have.
A gateway to the mysteries, and a pathway to the ancestors.
Place my hands in the ashes, dream inside the earth.
Feel the pulse, the magnetic pull between me and the stone.
Witness the daystar rising, as Earth's fire rises,
up through the spine, filling the heart,
exploding the mind, and erupting from the crown of my skull.


Earlier you mentioned you conduct 1-4 trades per month. As a reminder, you may hover over any items in blue for more information.
Screen 3/8
Select one
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!
* A Simple Popup!


{% extends 'home/base.html' %} {% block content %} {{block.super}}
NeighborHoodApp allows you to be in the loop about everything happening in your neighborhood.
Find a list of different businesses near your neighborhood.
Find contact information for emergency services near your neighborhood.


{% load static %}
This site is running Django + nginx + Slack + uWSGI with docker compose for hosting a stylized HTML using Sphinx + Bootstrap + Bootswatch
Test your Django server is responding to Ajax Requests (Make sure to open the 'Javascript Console' to view the logs):
This site automatically hosts technical documentation written in RST and converts it into stylized html.
Test your Slack integration using the Django api handler with this link: Send an exception message to Slack using Django
If you did not see the message posted into the Slack channel. Confirm the docker-compose.yml file has the Slack environment variables set correctly and the bot has been invited to the correct Slack channel.


--- layout: page title: "About" description: "Kodeveloper" header-img: "img/about-bg.jpg" multilingual: true --- 한국어


Choose a script
Cache Info
Cache Address
VM Address
To Binary
Internet checksum of a string
Internet checksum of bytes
Sloppy hash from page 640
Cyclic redundancy check
Cache address table (for translating multiple addresses). This has some formating issues making it kinda hard to read result


Before Change
depart edges
// this is meant to deal with the case that there is only one rou file
if type(file_names) == str:
file_names = [file_names]
vehicle_data = dict()
After Change
// collect the edges the vehicle is meant to traverse for the given
// sets of routes that are not associated with individual vehicles
for route in root.findall("route"):
route_edges = route.attrib["edges"].split(" ")
routes_data[route.attrib["id"]] = route_edges
return vehicle_data, routes_data
@staticmethod
def _vehicle_type(filename):


NumPy Copies and ViewsThe copy of an input array is physically stored at some other location and the content stored at that particular location is returned which is the copy of the input array whereas the different view of the same memory location is returned in the case of view. In this section of the tutorial, we will consider the way by which, the different copies and views are generated from some memory location. Array AssignmentThe assignment of a numpy array to another array doesn't make the direct copy of the original array, instead, it makes another array with the same content and same id. It represents the reference to the original array. Changes made on this reference are also reflected in the original array. The id() function returns the universal identifier of the array similar to the pointer in C. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>88640 making copy of the array a ID of b:<PHONE_NUMBER>88640 Changes on b also reflect to a: [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.view() methodThe ndarray.view() method returns the new array object which contains the same content as the original array does. Since it is a new array object, changes made on this object do not reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>47456 ID of b:<PHONE_NUMBER>00656 printing the view b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the view b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] view [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.copy() methodIt returns the deep copy of the original array which doesn't share any memory with the original array. The modification made to the deep copy of the original array doesn't reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>86176 ID of b:<PHONE_NUMBER>39296 printing the deep copy b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the copy b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Copy [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]]
Next TopicNumPy Matrix Library
|
NumPy Copies and ViewsThe copy of an input array is physically stored at some other location and the content stored at that particular location is returned which is the copy of the input array whereas the different view of the same memory location is returned in the case of view. In this section of the tutorial, we will consider the way by which, the different copies and views are generated from some memory location. Array AssignmentThe assignment of a numpy array to another array doesn't make the direct copy of the original array, instead, it makes another array with the same content and same id. It represents the reference to the original array. Changes made on this reference are also reflected in the original array. The id() function returns the universal identifier of the array similar to the pointer in C. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>88640 making copy of the array a ID of b:<PHONE_NUMBER>88640 Changes on b also reflect to a: [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.view() methodThe ndarray.view() method returns the new array object which contains the same content as the original array does. Since it is a new array object, changes made on this object do not reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>47456 ID of b:<PHONE_NUMBER>00656 printing the view b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the view b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] view [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.copy() methodIt returns the deep copy of the original array which doesn't share any memory with the original array. The modification made to the deep copy of the original array doesn't reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>86176 ID of b:<PHONE_NUMBER>39296 printing the deep copy b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the copy b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Copy [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]]
Next TopicNumPy Matrix Library
|
NumPy Copies and ViewsThe copy of an input array is physically stored at some other location and the content stored at that particular location is returned which is the copy of the input array whereas the different view of the same memory location is returned in the case of view. In this section of the tutorial, we will consider the way by which, the different copies and views are generated from some memory location. Array AssignmentThe assignment of a numpy array to another array doesn't make the direct copy of the original array, instead, it makes another array with the same content and same id. It represents the reference to the original array. Changes made on this reference are also reflected in the original array. The id() function returns the universal identifier of the array similar to the pointer in C. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>88640 making copy of the array a ID of b:<PHONE_NUMBER>88640 Changes on b also reflect to a: [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.view() methodThe ndarray.view() method returns the new array object which contains the same content as the original array does. Since it is a new array object, changes made on this object do not reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>47456 ID of b:<PHONE_NUMBER>00656 printing the view b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the view b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] view [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.copy() methodIt returns the deep copy of the original array which doesn't share any memory with the original array. The modification made to the deep copy of the original array doesn't reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>86176 ID of b:<PHONE_NUMBER>39296 printing the deep copy b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the copy b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Copy [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]]
Next TopicNumPy Matrix Library
|
NumPy Copies and ViewsThe copy of an input array is physically stored at some other location and the content stored at that particular location is returned which is the copy of the input array whereas the different view of the same memory location is returned in the case of view. In this section of the tutorial, we will consider the way by which, the different copies and views are generated from some memory location. Array AssignmentThe assignment of a numpy array to another array doesn't make the direct copy of the original array, instead, it makes another array with the same content and same id. It represents the reference to the original array. Changes made on this reference are also reflected in the original array. The id() function returns the universal identifier of the array similar to the pointer in C. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>88640 making copy of the array a ID of b:<PHONE_NUMBER>88640 Changes on b also reflect to a: [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.view() methodThe ndarray.view() method returns the new array object which contains the same content as the original array does. Since it is a new array object, changes made on this object do not reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>47456 ID of b:<PHONE_NUMBER>00656 printing the view b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the view b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] view [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]] ndarray.copy() methodIt returns the deep copy of the original array which doesn't share any memory with the original array. The modification made to the deep copy of the original array doesn't reflect the original array. Consider the following example. ExampleOutput: Original Array: [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] ID of array a:<PHONE_NUMBER>86176 ID of b:<PHONE_NUMBER>39296 printing the deep copy b [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Changes made to the copy b do not reflect a Original array [[ 1 2 3 4] [ 9 0 2 3] [ 1 2 3 19]] Copy [[ 1 2 3] [ 4 9 0] [ 2 3 1] [ 2 3 19]]
Next TopicNumPy Matrix Library
|


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Downloading...
This is the CHIP-8 interpreter compiled
with Emscripten.
The computers on which CHIP-8 originally ran had 16-key hexadecimal keyboards.
The keys are mapped to a Qwerty keyboard according to the following table:
| CHIP-8 Key | Actual Key | | CHIP-8 Key | Actual Key |
| 0 | 'X' | | 8 | 'S' |
| 1 | '1' | | 9 | 'D' |
| 2 | '2' | | A | 'Z' |
| 3 | '3' | | B | 'C' |
| 4 | 'Q' | | C | '4' |
| 5 | 'W' | | D | 'R' |
| 6 | 'E' | | E | 'F' |
| 7 | 'A' | | F | 'V' |


WITNESS LIST Housing (Interim Committee) Committee August 26, 1998-10:00A interim charges On: Esparza, Daniel (Interim Comm.on Housing), Austin Flores, Laura (Interim Comm.on Housing), Austin Garcia, Buddy (Interim Comm.on Housing), Austin


Objects are state machines that are instantiated on demand and released from memory when they are no longer needed. You can create global objects using "set", or local objects using "new" keyword.
Classes are objects themselves. Also, classes can be used to generate object instances. All object instances generated from a class, will inherite class structure and behaviour. The most important characteristics of objects are:
Class is a type declaration. You can declare the attributes of future objects before implementing the class. This is called "forward declaration". It is useful when you have 2 classes to be defined that depend on each other.
#define an object instance
** declare a class with two attributes
class MyClass = {a, b: Integer} <: Object;
** create several class signatures in a "class region"
class
Foo = {attr:Type, ...} <: Object;
Bar = {attr:Type, ...} <: Object;
...
Eve is similar to Java. It has a root Object that is actually a composite data type. This can be used as a base class. The Object constructor accept variable number of arguments. You can initialize an object by using the Object constructor.
#define an object instance
process test:
** initialize object using Object() constructor
new object_name := Object(attribute1:value1,
attribute2:value2,
...);
...
return;
Note: Object constructor can receive argument names that do not exist, and bind values to new attributes using (key:value) pairs. This is possible in Eve due to a gradual typing system.
Methods are related to an object or a class. The methods can have parameters and can return results. You must define all methods in the same module as the class declaration.
# define a "Point" class:
driver test_point:
class Point = {x, y :Double} <: Object;
method (@self:Point) move(a, b: Double):
let self.x += a;
let self.y += b;
return;
method (@self:Point) string() => (string:String):
let string := "# = (#:#)" ? (self.id, self.a, self.b);
return;
process
** initialize the points
new p := Point(x:1, y:2);
** move the point
p.move(2,1);
print p.string(); -- (3:3)
return;
Note: To call a method, you do not use any keyword. Just specify the method name with arguments. Methods can be created in packages to extend the Eve language with domain specific actions.
A class can define attributes for future object instances. The class constructor must set initial values for object attributes and can create new private attributes.
To access public attributes you must use dot notation like:
object_instance.public_attribute;
To access private attributes you must use "self." qualifier. Private attributes are available in constructor and inside of object methods but are not available with object name as qualifier. That is, private attributes are encapsulated.
self.private_attribute;
Note A class does not know anything about its objects. You can not ask the class anything about its instances, except if you create a special logic using class properties.
A class can have properties and methods. Class properties and metods are static members and must be defined inside the class declaration region.
An object can have attributes and methods. Attributes are defined by the constructor. Object methods are defined later in the same module, outside of the class body. Object attributes and methods are dynamic.
A class can have public or private properties. Each property is defined in the class context. We declare class properties after symbol ":" before any class method.
You can define methods inside of a class body. Class methods have access to all class members, without using any qualifier but have no access to object instance. @self object is not available in class methods:
Next example demonstrate a class that has no attributes and no constructor. This kind of class can't be instantiated. Is an abstract class, but it can be inherited by other classes.
driver test_method:
# define a class that has no constructor
class ClassName <: Object:
** class propetyes
set _sum: Integer; -- protected
set last: Integer; -- public
** class method (change state)
method change(param:Type):
let last := param;
let _sum += param;
return;
** create a getter for _sum
method sum() => (@result:Integer):
let result := _sum;
return;
return;
process
** access class method
ClassName.change(10);
ClassName.change(12);
** inspect ".last" property
expect ClassName.last == 12;
expect ClassName.sum() == 22;
return;
You can define methods in modules that are usable with any basic type similar to class methods. Also, you can define general methods. These methods are not bound to a particular data type.
module console:
** module method
method print (*args:Variant):
...
return;
** module initialization
init
...
return;
Note:Module methods will be useful, when we create the system library. Is enaugh to say we have left the design open, so that we can bootstrap Eve later.
Using the "Object" as the "root class", you can create a hierarchy of classes. Each classes is derived from the Object or from other "superclass" forming a "class tree". Like a real tree the class hierarchy has a single root.
Class Tree
You can create more complex objects by using a class constructor. This is a special struture that can be used to describe class members and object instances. A class can have a constructor or can be constructor-less.
A class is a composite data type. It can be derived from another data type or from the root Object. Next design pattern explain how to declare a class with attributes and constructor:
# user defined class
class NewType = {attributes} <: Object:
** declaration
...
create (parameters) => (@self :NewType):
** constructor
...
release
** cleanup
...
return;
Notes: A class has a declaration region where you can define static members, and an initialization region "create". This region is called contructor. A class can have one single constructor. The constructor is optional.
Constructors can have one or more parameters, some may be optonal. You can use a decision statements to initialize the object attributes in different ways based on parameter values.
# define a class
class ClassName = {attributes} <: Object:
** define class properties
set property_name := value;
....
** define class method
method test() => (result:Type):
...
let result := expression;
return;
create(parameters) => (@self: ClassName):
** conditional initialization
if condition then
let self.attribute = value;
...
else
let self.attribute = other_value;
...
done;
return;
A constructor can have parameters with an initial value that are optional. Parameters with no initial values are mandatory. It is possible to have a variable number of arguments, received as a HashMap for a vararg based constructor.
# define a class derived from root Object
class NewName += {attribute:Type, ....} <: Object;
** class body
...
create(*parameters: HashMap) => (@self:NewName):
...
return;
process
** instantiate a local object using constructor
new object := NewName(param:value,...);
...
return;
Note:The object in the previous example, has type: NewName. So you can use the class name as a data type. The data type defined by the class is dynamicly created by the compiler.
Object named "self" is the current object name. This is the result of the class constructor. It uses prefix "@" to show that it is a reference. The "self" parameter is used for declaring object methods. In Java this is an implicit parameter. In Eve you must declare @self explicitly.
This example defines a "Point" class with two parameters. The parameters have default values so they are optional when you create a point. Read the example and the notes to understand how to use a user defined class constructor.
# demonstrate a class
driver point_demo:
** define class Point, from root Object
class Point = {x, y :Double} <: Object:
** no members
create(x = 0, y = 0 :Double) => (@self: Point):
** constructor
let self.x := x;
let self.y := y;
return;
# using the class
process
** initialize the points
new p1 := Point(x:1, y:2);
new p2 := Point(x:2, y:2);
** use string patterns to print attributes
print "p1 = (x:#n, y:#n)" ? (p1.x,p1.y);
print "p2 = (x:#n, y:#n)" ? (p2.x,p2.y);
return;
p1 = {x:1, y:2} p2 = {x:2, y:2}
This example defines a class that can track its instances explicit. You can use static properties of a class to record all instances newly created. On release, you can remove the object instance @self from the item list.
# demonstrate a self tracking class
driver self_track:
** define class Point, from root Object
class Point = {x, y :Double} <: Object:
** tracking information
set instances: Integer;
set items: ()Point; -- list of points
** constructor receive 2 parameters
create(x = 0, y = 0 :Double) => (@self: Point):
** alter attribute values
let self.x := x;
let self.y := y;
** add object to list of items
let items += @self;
let instances += 1;
release(@self: Point):
** remove the object from list
let items -= @self;
let instances -= 1;
return;
process
** initialize the points
new p1 := Point(x:1, y:2);
new p2 := Point(x:2, y:2);
** verify how many point
expect Point.instances == 2;
** use item list to print all points
cycle:
new i := 0;
for p in Point.items loop
let i += 1;
print "p#n = (x:#n, y:#n)" ? (i, p.x,p.y);
repeat;
return;
p1 = {x:1, y:2} p2 = {x:2, y:2}
We can use two comparison operators with objects: "is" and "==". First operator "is" will compare the object location. If the objects have the same location they represent the same object. Second operator: "==" compare object type and object attributes or value. There are complementar operators "is not" and "!=". That can be used to create conditionals.
In next examples we use a primitive type: Integer, that is actually a class. So any Integer number is an Object instance. Object instances are references and can be compared.
#object comparison demo
driver object_compare:
set m = n = 1: Integer;
process
** equal values and types
expect m == n;
expect not (m != n);
** not the same location
expect not (m is n);
expect m is not n;
** alter one value
let n := 2;
** equal values and types
expect m != n;
expect not (m == n);
return;
Eve support inheritance and pilymorphism. You can specify a supertype using the symbol "<:" that is equivalent to the keyword: "extend" used in Java. Using this symbol makes a class that has all attributes and methods of the super-class or super-type.
# define a class with inheritance
class BaseType = {attributes} <: Object;
** object method
method (@self:BaseType) demo(param:Type, ...):
...
return;
** create a descendent of BaseType
class NewType += {new_attributes} <: BaseType:
** class members
...
create(parameters) =>(@self: NewType):
** call base class constructor
let self := super(parameters);
** create new attributes
new self.new_attribute := value;
...
return;
** overwriten method
method (@self:NewType) demo(parameters) => (result:Type):
...
return;
Generics are Eve system lybraries. You can create sub-types using a generic. Next generics are pre-defined: {Array, List, DataSet, HashMap}. We will describe these data types in next chapter.
Eve enable 4 generic types. If more generic types are required in the future we will modify the language. We will describe these generics as collection types. All these generics are "Iterable" Objects.
** making an array
class UserArray = []Type <: Array;
** making a list
class UserList = ()Type <: List;
** making a data set
class UserSet = {}Type <: DataSet;
** making a dictionary
class UserMap = {}(Type:Type) <: HashMap;
First we define the ElementType, then we define a collection UserList. After this we define a new instantes of type UserList and we create new elements in this list.
# Using a generic type to create a table
driver test_generic:
** making an element type
class ElementType = {a,b,c: Integer} <: DataSet;
** making a list of elements
class UserList = ()ElementType <: List;
process
** instantiate UserList object
new myList := UserList();
** enqueue one member
let myList += ElementType(1,2,3);
** append one member
let myList := myList + ElementType(7,8,9);
print myList -- ({1,2,3},{7,8,9})
return;
Using a data literal you can shortcut the design pattern. This is possible due to type inference. Eve create the types for you. After collection is created you can add new elements.
** define object using type inference
new myList := ({1,2,3},{7,8,9});
** using introspection to find the type
print Type(myList); -- List
print Type(myList[1]); -- DataSet
print Type(myList[1][1]); -- Integer
Using JSON you can create complex data structures. In next example we create a list of objects. Each object can have same structure or different structure. This is possible due to dynamic nature of Objects.
driver catalog:
class Person = {name:String, age:Integer} <: Object;
global
set myList: ()Person;
process
** define object using type inference
let myList := (
{name: "Elucian", age: 56},
{name: "Daniel" , age: 45}
);
** using introspection to find the type
expect Type(myList) == List;
expect Type(myList[1]) == Person;
expect Type(myList[1].name) == String;
expect Type(myList[1].age) == Integer;
return;
Note: In a collection you can use objects of the same type or descendents types of the declared element type. In this case if you derive a type Employe from Person, then you can add Emplyes to this list.
Read next: Functions


Still the same half-dreamy half-awake state. Zheng opened his eyes. This place wasn’t a forest as he had expected. This was a dark warehouse. It took for his eyes to adjust when he suddenly moved from the bright dimension to this dark warehouse. The warehouse was not big and had no items in sight. The floor though was quite clean. Three people lay on the floor. One guy and two girls. These were the newbies in this movie.
Xuan and the other two people had already observed the state of this room. Xuan said. “Do you hear anything coming from outside? Sounds like…”
“Vehicle engine?” They said at the same time and looked confused. Everyone immediately turned to Xuan.
However, he stared at the three people on the floor instead, waited for a while and said. “I thought of an issue. Even though we are only reviving the stronger members that used to be in team China, but what if the team surpassed twenty people? I don’t know what will happen but there are only twenty rooms in God’s dimension. The most probable result is one person will get erased during revival or the person that revives him gets erased. In the end, we will lose one important member.”
Section Heading nanaman
Zheng’s expression changed abruptly. He also thought of this possibility but couldn’t come up with any solutions. “There’s no option to refuse the entrance of newbies from God. We will probably reach this problem at some time. Do you have any solutions?”
Xuan adjusted his glasses.  Two, complete all bonus missions we can think of in a movie and get enough points to revive all the important members before we reach twenty people. I believe enacting both options is the best.”
Zheng sighed. He looked at the three young people on the floor and muttered. “No, choose the second option. Complete as much bonus missions as possible. If that’s not enough, we can go back to previous movies to search for missions. We can get doubled rewards if we complete the next movie in the series in advance.”
Isa Pa
Xuan shook his head and said with an indifferent tone. “This isn’t cost effective. We have to spend rewards to unlock the worlds then five times the normal points to enter it. Furthermore, we are not guaranteed to encounter bonus missions. Even if we do, it will be at the highest difficulty. I don’t believe we have the strength to challenge most movies. I disagree with your choice.”
Zheng sighed. He looked at the three young people on the floor and muttered. “No, choose the second option. Complete as much bonus missions as possible. If that’s not enough, we can go back to previous movies to search for missions. We can get doubled rewards if we complete the next movie in the series in advance.”
Xuan shook his head and said with an indifferent tone. “This isn’t cost effective. We have to spend rewards to unlock the worlds then five times the normal points to enter it. Furthermore, we are not guaranteed to encounter bonus missions. Even if we do, it will be at the highest difficulty. I don’t believe we have the strength to challenge most movies. I disagree with your choice.”
Placeholder text by Terror Infinity.


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Devastating fire rips through Safari park killing 10 animals and forcing others to flee
Three giraffes were among the creatures to perish at the African Safari Wildlife Park in Port Clinton, Ohio, as the State Fire Marshall attempts to determine how the fire started
by Sam Elliott, https://www.mirror.co.uk/authors/sam-elliott/Ten exotic animals were killed as a blaze tore apart a popular Safari park with wildlife running free to try and escape the flames.
Antelope, three giraffes, red river hogs and a springbok all died following the fire which started in a barn overnight.
It devastated African Safari Wildlife Park in Port Clinton, Ohio - but 300 other animals are all accounted for.
The State Fire Marshall is to visit the park to investigate why fire ripped through the area over the coming days.
The park opened in 1969 and has been visited by thousands of people every week for 50 years.
No humans were injured after a power problem was reported.
The zoo shared a statement announcing the news on Thursday evening.
"Our African Safari Wildlife Park team is devastated by the loss of animals housed in a barn destroyed by fire that was discovered early Thanksgiving evening," it read.
"We are grateful that our staff is safe and no one was injured.
"But the loss of the wildlife that we care for every day is tragic for our team members who love these animals.
The park is set to remain closed this weekend as staff come to terms with the fire.


TWILIGHT OF THE ICE NYMPHS
Canada. 1997. Director - Guy Maddin, Screenplay - George Toles, Producer - Ritchard Findlay, Photography - Michael Marshall, Music - John McCulloch, Production Design - Reginald Lebrie. Production Company - Marble Island Pictures. Nigel Whitmey [uncredited] (Peter Glahn), Pascale Bussieres (Juliana Kossel), R.H. Thomson (Dr Isaac Solti), Shelley Duval (Amelia Glahn), Alice Krige (Zephyr Eccles), Frank Gorshin (Cain Ball)
Plot: Just released from prison and returning to his home in the land of Mandragora where the sun never sets, Peter Glahn falls in love with the beautiful but mysterious Juliana Kossel. Upon his return Peter finds his ostrich farmer sister Amelia engaged in a bitter battle with her hired hand who expects to be deeded the title of her farm. Zephyr Eccles, who has been abandoned pregnant by her husband, falls for Peter and gives her wedding ring to the ice nymph so that she might have him. But then the object of Amelia's desire, the sinister Dr Solti, arrives with his fiancee - Juliana - whom he has really hypnotized and made speak words of love to Peter. This circle of frustrated desires all comes to a head at once.
Canada's Guy Maddin is often alikened to David Lynch. Such a comparison is not really accurate and is probably born more of the lack of anything else that Maddin's work can easily be easily compared to. Certainly Lynch and Maddin have weird cinema pegged out between them. But where Lynch's work has a dark obsessiveness tempered with a kind of cod deadpan banality, Maddin's is all cod deadpan banality - which is about the only real point of intersection that the two have. Maddin's work - `Tales from the Gimli Hospital' (1989), `Archangel' (1990), `Careful' (1992), and this - feels as though it takes place in alternate worlds that have been constructed as kitsch homages to lost styles of film-making. Maddin is particularly fond of German cinema with his films frequently evoking Expressionism (the ghost of Dr Caligari surely hangs over the character of Dr Solti here) and Heimat cinema. At the same time all of Maddin's stylistic evocations are run over with what sounds like the hysterical purple prose from a bad romantic novel.
`Twilight' is set in another Maddin world that seems to have emerged from some kind of demented Wagnerian opera. As always in a Maddin film, the world is created with a deliberate stagey artificiality - all the sets look like they have been built for the enchanted forest in a high-school pantomime. The dialogue is suitably inscrutable Maddin-esque prose - "We are naked under these clothes," lovers solemnly proclaim. Or "When an agreement is signed it is time to chop down the trees"; and after Alice Krige gives Nigel Whitmey a purple negligee to wear: "You can wear my clothes until doomsday but it won't make you any more of a woman, just less of a man." The story is an amusing rondeau of frustrated wants among the various characters. Here R.H. Thomson intoning with an amusingly solemn sotto voce gravitas makes a memorable impression as the sinister Svengali figure Solti. Although in the end `Twilight' never quite strikes one with either the same sublime combination of stylized weirdness and melodramatic banality that Maddin's marvellous `Careful' did - it's more of the same but slightly lesser. The film has Maddin's largest budget yet - only about $2.5 million would one believe - which allows him to shoot in colour for the first time and to employ name actors such as Shelley Duval and Alice Krige.
Reviewed at the 1998 Wellington International Film Festival Copyright Richard Scheib 1998
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