Paul's x86_64 asm learning resources
This is a page with links to materials on learning 64bit assembly language (x86_64), for Intel and AMD processors used in PCs.
Official docs
- Intel Software Developer Manuals - These manuals describe the architecture and programming environment of the Intel 64 and IA-32 architectures.
- AMD Developer Guides, Manuals & ISA Documents - This list contains a selection of documents you may find useful, including developer guides, instruction set architecture documents and reference manuals to help with your programming needs.
- nasm documentation - a very well written set of docs for the popular compiler.
- System V ABI - official document for the System V ABI used on *nix systems.
Tutorials for beginners
- nasm tutorial by Ray Toal - basic instructions, operands, using C library, C calling conventions and interfacing with C programs, command line, floating point, SIMD instructions
Advanced tutorials
- SSE Overview - an overview of SSE and SSE2 instructions with explanations and example usage in concrete situations.
Software
- Pure64 - a 64 bit software loader
- BareMetal OS - a 64 bit OS written in assembly and running on top of Pure64
Graphics
Mostly OpenGL, which is frankly just interfacing asm with C OpenGL library through the ABI.
- asmGL - my set of NASM include files based on OpenGL C header files. They contain almost all of the
GL_
defines and OpenGL library functions marked asextern
, so you won't have to define anything by yourself. Includes GLUT.
Optimisation
- Is inline asm slower than native C code? - interesting discussion with examples on how to optimize a routine to achieve 5x performance gain
- "Size Is Everything" - A Whirlwind Tutorial on Creating Really Teensy ELF Executables for Linux


We are Taironas, a group of friends that spend our free time doing fun web projects like tinygraphs.
You can find our group on github!
While building gonawin we found that the avatar service that we were using was not in sync with the designs/colors of our web app.
We decided to build tinygraphs, to have the colors combine with the web page itself. Also, as we were having so much fun building it, we decided to extend the patterns used to generate the images.
You can find the code in github: tinygraphs. You will find the description of how we built it and the stack of technologies that we used.
tinygraphs logo is property of tinygraphs, you must always request the permission to use it to Carmen.
Tinygraphs images are available for free. As a thank you, we only ask that you include a link back to tinygraphs whenever possible.


"RUBY "(Hebrews peninim), only in plural (Lamentations 4:7). The ruby was one of the stones in the high priest’s breastplate (Exodus 28:17). A comparison is made between the value of wisdom and rubies (Job 28:18; Proverbs 3:15; 8:11). The price of a virtuous woman is said to be “far above rubies” (Proverbs 31:10). The exact meaning of the Hebrew word is uncertain. Some render it “red coral;” others, “pearl” or “mother-of-pearl.”
"RUBY "(Hebrews peninim), only in plural (Lamentations 4:7). The ruby was one of the stones in the high priest’s breastplate (Exodus 28:17). A comparison is made between the value of wisdom and rubies (Job 28:18; Proverbs 3:15; 8:11). The price of a virtuous woman is said to be “far above rubies” (Proverbs 31:10). The exact meaning of the Hebrew word is uncertain. Some render it “red coral;” others, “pearl” or “mother-of-pearl.”


A cache view is the result of applying a mapper (function) on every entry in a cache. Only the object that mapper maps each entry to is visible be the user when he queries a cache view. The cache view is backed by the original cache, so changes to the original cache are reflected in the filtered view, and vice-versa (if the view supports mutating operations).
The primary use for cache views are for querying the cache. For example, returning a set of all unique values in the cache, or returning the maximum value in the cache (assuming values are comparable).
For example, when you call getAll(K... keys) instead of returning a map mapping each key to the corresponding value. The cache returns a CacheView which can be used to determine precisily the type of result that is needed. For example, assuming you are caching some webpages (String url-> webpage as a String) and you want to return the average length of 3 different webpages. If If you working over a network this can be rather slow, because you need to fetch the pages to your local machine. Before you can do the calculation Whenever a cache needs to return more then one cache entry, value a CacheView is returned instead. The user can then define exactly the type of result he
In cake views are using for querying a cache.Cachec = new SynchronizedCache (); Cache secure = c.filter().onKey(new Predicate () { public boolean op(String key) {return key.startsWith("https");} });
As many as you want! Creating a view is a very fast operation with almost no memory overhead. Basically a view cache is just the mapper . So you easily have thousands of views available at the same time. Even share them among multiple threads.


I am a very simple card. I am good at containing small bits of information. I am convenient because I require little markup to use effectively.
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FCBPW MISSION
Providing opportunities for women in the workplace to come
together for bible-based worship, fellowship, discipleship, and
encouragement, advancing the spread of the gospel for the Glory of
God.
FCBPW
VISION
Reaching and inspiring women in workplaces everywhere to know the
love of Christ and grow in grace and the knowledge of God.
Bringing women together to build relationships; teaching,
encouraging, and equipping them for works of service to the building up of the
body of Christ.
All this for the glory of God!
STATEMENT OF FAITH
CALENDAR OF EVENTS
FCBPW holds bi-monthly luncheon meetings in which a business or professional
leader gives their testimony and encourages women to share their faith in the
workplace. Meetings are held at the Town & Country Club from 11:30
a.m. – 1:00 p.m. Be sure to check back for more information regarding upcoming
programs in 2007!
Map
& Directions to Town
& Country Club
SMALL GROUP
BIBLE STUDIES
FCBPW also holds monthly bible studies in Minneapolis and Saint Paul and
plans to expand in other cities as the organization grows. If you are interested in joining a small group, please call:
Minneapolis:
Sherry Meyer
(612)
376-9361
St. Paul: Sherry Hastings
(651) 291-3576
Women's Club: Carla
Pedersen
(612) 752-1917
Woodbury:
Nancy Branton<PHONE_NUMBER>
NEWSLETTER
- FCBPW VOICE
Winter 2006 (PDF)
Summer 2005 (PDF)
MEMBERSHIP
INFORMATION
The Fellowship of Christian Business & Professional Women (FCBPW) is excited
to announce the launch of our new membership initiative. This 12-month
membership will begin on the date we receive payment and will continue for 12
months. The annual
membership fee of $75.00 will
enable FCBPW to more effectively reach out to business and professional women in
the Twin Cities area. Please review the benefits listed below that are
included with your $75 membership fee, and prayerfully consider becoming a
member. Click
here to print and complete an application.
Benefits of Membership
-
Receive
all FCBPW mailings, including the quarterly electronic newsletter.
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Opportunity
to be featured in FCBPW's quarterly newsletter under Member Profiles.
-
Be
included in, and receive, the annual FCBPW Membership Directory.
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Be
eligible to volunteer for FCBPW committee opportunities and Board positions.
Criteria for Membership
-
Agreement
and acceptance of FCBPW's mission, vision, values and statement of faith.
-
Successful
completion of the Application for Membership.
Membership
Expectations and Fees
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Help
promote FCBPW to business and professional women.
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Encourage
and support one another.
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Annual
Membership Fee is $75.00. Membership dues pay for 12-month membership
from date payment is received. A portion of your membership dues may be tax
deductible. Consult your tax
advisor for more information.
We hope you will prayerfully consider becoming a member of FCBPW and helping
to support our mission. Click
here to print and complete an application.
CONTACT
US
Phone:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Address:
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In charge of designing and implementing database for environmental sensitive chemical compounds.
Experience: MySQL, Python, XML Database
Responsible for image processing, writing new tools for image-related processing, and software maintenance and updating.
Experience: Java, Python, RStudio, OpenCV, Photoshop, Fiji
Studied courses including distributed system, database, computer vision and multimedia, networking, embedded system design, sensor and peripheral interface design.
Feel free to send me an email at<EMAIL_ADDRESS>!


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These operations work on ordinary vectors, so you can mix checked and unchecked operations on the same vectors.
In an ideal world (which we're working on, in principle) the compiler would let you use the ordinary checked operations and then optimize the checks away in a safe and efficient manner.
val sub : ('a vector * int) -> 'a
val create : (int * 'a list) -> 'a vector
sub (vec, i)
create (i, l)
MONO_VECTOR, UNSAFE_MONO_VECTOR, Unsafe.Array
Last Modified October 28, 1997
Comments to<EMAIL_ADDRESS>Copyright © 1998 Bell Labs, Lucent Technologies


Tree organized repository child specifics
When master repository has hierarchy structure, than detail objects can be filtered by two methods to choose detail repository data: filter data linked with selected tree node only (direct links), and linked to subtree from selected node and below by hierarchy. XData has functional to choose one of this methods in runtime. To provide this ability mapping of master objects must describe external links marked as direct links. Than master repository flag ShowSubtree can be used as a switch between this two methods.
Let's explain that on example...
Mapping master tree organized data object...
private static Expression<CustomMapping<Catalog>> _unused = (
() => XDataMapping.CustomMapping<Catalog>()
.DataTable("R", "T_CATALOG")
.Map(x => new Catalog{
CatalogId = x.Field<long>("R", string.Empty, z => z.Key()),
Code = x.Field<string>("R", string.Empty),
Name = x.Field<string>("R", string.Empty),
ParentId = x.Field<long?>("R", string.Empty) },
// Direct link
x => x.ExternalLink<Document>(x => x.CatalogId, x => x.DirectLink()),
// Subquery link
x => x.ExternalLink<Document>(x => x.CatalogId,
z => z.Filter(y => new FilterName("FilterByRoot"))))
.SetBaseTable("R").SetFlags(DataStructureFlag.Tree)
);
Master data object SQL...
SELECT R.catalog_id AS R_catalog_id,
R.code AS R_code,
R.name AS R_name,
R.parent_id AS R_parent_id
FROM T_CATALOG R
Mapping detail data object...
private static Expression<CustomMapping<Document>> _unused = (
() => XDataMapping.CustomMapping<Document>()
.DataTable("D", "T_DOC")
.DataTable("DC", "T_DOC_CATALOG", x => x.Link("D", "doc_id"),
x => x.SubqueryFilter("catalog_id", "UT")
.SetOperation(FilterOperation.In))
.Subquery<CatalogTree>("UT", x => x.CatalogId, DataGrouping.None)
.Map(x => new Document{
DocId = x.Field<long>("D", string.Empty, z => z.Key()),
DocDate = x.Field<DateTime>("D", string.Empty),
CatalogId = x.Field<long>("DC", string.Empty) })
.SetBaseTable("D")
);
...
private static Expression<CustomMapping<CatalogTree>> _unused = (
() => XDataMapping.CustomMapping<CatalogTree>()
.With("CAT", XDataMapping.GetStructure("R")
.DataTable("T_CATALOG", "R",
x => x.ConstFilter("FilterByRoot", "parent_id",
FilterConstantType.Const, null,
FilterNullable.NullsCompared))
.Select(x => new {
CatalogId = x.Field<long>("R", string.Empty, z => z.Key()),
ParentId = x.Field<long?>("R", string.Empty),
}), x => x.Properties(z => z.CatalogId, z => z.ParentId),
x => x.WithRecursive("S", XDataMapping.GetStructure("S")
.DataTable("T_CATALOG", "S")
.Select(y => new {
CatalogId = y.Field<long>("S", string.Empty, z => z.Key()),
ParentId = y.Field<long?>("S", string.Empty)
}),
z => z.SubqueryLink(y => y.ParentId, y => y.CatalogId)))
.ReadOnlyProperty(x => x.CatalogId,
x => x.Field<long>("CAT", string.Empty, z => z.Key()))
.ReadOnlyProperty(x => x.ParentId,
x => x.Field<long?>("CAT", string.Empty))
.Map().SetFlags(DataStructureFlag.ReadOnly)
);
Link and using data objects with ShowSubtree off...
dataScope.GetReposytory<Catalog>()
.Do(x => x.Instance.GetChild<Document>())
.ToArray();
Detail data object SQL...
with recursive T (catalog_id, code, name, parent_id)
as ((SELECT R.catalog_id AS R_catalog_id,
R.parent_id AS R_parent_id
FROM T_CATALOG R
WHERE R.catalog_id = @FilterByRoot)
UNION ALL (SELECT S.catalog_id AS S_catalog_id,
S.parent_id AS S_parent_id
FROM T_CATALOG S, T T
WHERE S.parent_id = (T.catalog_id)))
SELECT D.doc_date AS D_doc_date /* DocDate */,
D.doc_id AS D_doc_id /* DocId */,
DC.catalog_id AS DC_catalog_id /* CatalogId */
FROM T_DOC D
JOIN T_DOC_CATALOGUE DC ON DC.doc_id = D.doc_id
WHERE DC.catalog_id in (SELECT T.catalog_id AS T_catalog_id FROM T T)
and DC.catalog_id = @FilterByCatalogId
Direct link is filled and detail data object data is restricted by single catalogue_id from master data object.
Link and using data objects with ShowSubtree on...
dataScope.GetReposytory<Catalog>()
.Do(x => x.Instance.GetChild<Document>(),
x => x.Instance.ShowSubtree = true)
.ToArray();
Detail data object SQL...
with recursive T (catalog_id, code, name, parent_id)
as ((SELECT R.catalog_id AS R_catalog_id,
R.parent_id AS R_parent_id
FROM T_CATALOG R
WHERE R.catalog_id = @FilterByRoot)
UNION ALL (SELECT S.catalog_id AS S_catalog_id,
S.parent_id AS S_parent_id
FROM T_CATALOG S, T T
WHERE S.parent_id = (T.catalog_id)))
SELECT D.doc_date AS D_doc_date /* DocDate */,
D.doc_id AS D_doc_id /* DocId */,
DC.catalog_id AS DC_catalog_id /* CatalogId */
FROM T_DOC D
JOIN T_DOC_CATALOGUE DC ON DC.doc_id = D.doc_id
WHERE DC.catalog_id in (SELECT T.catalog_id AS T_catalog_id FROM T T)
Direct link not filled and data not restricted by single catalogue_id from master data object. Resulted detail data will match master data object current record subtree.


New Section
As a uSDLC Administrator
I want to be able to change the new section forms
so that a customised experience for my site
Guide
New Section
When creating a new section it can be given an attribute that aids in design and processing.
Project-Vision-Goal-Capability-Feature-Page all create new pages that help structure the design process. A page created with a specific attribute will default to sections with the next attribute in the list.
Scenarion-Instrument-Reference will create sections that wrap instrumentation files that can be edited in-place or with an IDE.
Guide sections are used to build up the user guides. They allow team members to document in place and reference them in the guide to be published.
General sections are just that - unclassified sections. You can also press escape when the form is presented and edit the section manually.
All sections can be edited manually - either in WYSIWYG or HTML mode. You can even remove the section attribute this way.
New Section: Project
In design by decomposition, a project (or sub-project if you like) can start anywhere in the parent project. It is autonomous - and most commonly new functionality being added to an existing project. Sections are vision statements.
New Section: Vision
Every new project starts with a vision. It does not need to be detailed. A set of bullet points is often a good starting place. Depending on the detail of the vision, these points can be further vision pages or high level goals.
In design by decomposition, visions can occur at any level of the project. When adding new functionality the list of benefits constitutes a vision.
New Section: Goal
Goals stem from the vision, but may extend past the vision to other stake-holders. Goals should:
-
Cover long time spans relative to capabilities and objectives
-
Can be intangible or tangible
-
should be people oriented
-
should not predetermine the details of program activities
-
should be expressed as a desired outcome or condition to be achieved
Examples could be:
-
To make required data entry easy.
-
To reduce customers who abandon the ordering process.
New Section: Capability
Goals require capabilities or objectives to be met. For the goal 'To make required data entry easy', one capability may be 'Users might need the capability to copy existing records'.
New Section: Feature
To deliver capabilities, we design features.
As a customer, I want to be able to copy an old order so that I can enter a new order more easily.
As always, just enter a title here. You will have an opportunity to flesh it out when you go to the resulting page.
New Section: Scenario
To explore and flesh out a feature we provide as many examples as we can in the form of scenarios. These scenarios can be phrased in natural language, but are at the same time computer readable. Scenarios provide the feedback loop across the SDLC. A scenario exercises the production code as it becomes available and will tease out disconnects between vision and produciton. In traditional parlance a scenario can be an acceptance test, integration test or unit test.
New Section: Script
Scenarios will need backing actions.
New Section: Data
Display reference files. These are often data files used by instrumentation or example code for the application. They are not executed during instrumentation.
New Section: Guide
The best place to document the user perspective for a feature is within the feature design space. uSDLC provides tools to take these sections and create an interactive document in user guide structure from the pieces created within the design.
New Section: General
Create a section for unclassified information.
New Section: Issue
Any member at any point in the project may need to ask a question that
does not have an immediate answer. It may be that the question needs to
go to a review group - or it may be that it just needs to be passed to
the person with that domain knowledge. These questions are posed within
uSDLC when they are discovered, but they are also recorded in the issues
register for review and resolution.
New Section: Bug
The bug register is created from bug sections raised in the uSDLC
document as they are discovered. This provides context. The bug register
itself provides a place for prioritisation, review and resolution
management.
New Section: Idea
Many committed team members will have ideas outside their immediate task
that could improve the project. These are usually lost because there is
no place for them in a traditional project. uSDLC provides
an idea register. Any team member can create a section wherever they are
and it's contents will be reflected in the ideas register for later
review and action.
New Section: Tasks
uSDLC auto-generates tasks list where it can, but there is always room for team members to create their own.


d3.js force directed node focus:
Site Tag Explorer
click a node to focus, double click to visit page


Efia Odo insults social media user who called her a pornstar
by Lizbeth BrownGhanaian actress and television personality Efia Odo has descended heavily on a social media user who called her a pornstar.
The Instagram slay queen shared a raunchy photo of herself which has attracted lots of comments on social media.

See posts below;
Efia Odo is popularly known for sharing explicit and nude pictures of herself on social media and has always been criticized for that.
It’s obvious the actress is not perturbed about the criticisms and always makes it a point to ‘fire’ anyone who makes silly comments about her mode of dressing.


This inspection highlights expressions where a reference is compared to a different value
on either side of an or-expression. For example: x != a || x != b.
Such expressions are always true, and a quickfix is available to change them to the correct
x != a && x != b


typings
In programming languages, a type system is a set of rules that assigns a property called type to the various constructs of a computer program, such as variables, expressions, functions or modules.[1] These types formalize and enforce the otherwise implicit categories the programmer uses for algebraic data types, data structures, or other components (e.g. “string”, “array of float”, “function returning boolean”).
The main purpose of a type system is to reduce possibilities for bugs in computer programs[2] by defining interfaces between different parts of a computer program, and then checking that the parts have been connected in a consistent way.
This checking can happen statically (at compile time), dynamically (at run time), or as a combination of static and dynamic checking.
static vs dynamic typings
static type checking
Static type checking is the process of verifying the type safety of a program based on analysis of a program’s text (source code).
If a program passes a static type checker, then the program is guaranteed to satisfy some set of type safety properties for all possible inputs.
Can be ran before compile time, at write time.
dynamic type checking
Dynamic type checking is the process of verifying the type safety of a program at runtime.
combination
Combination of static and dynamic type checking enable downcasting :
In class-based programming, downcasting or type refinement is the act of casting a reference of a base class to one of its derived classes.
Example in Java :
public class Fruit{} // parent class
public class Apple extends Fruit{} // child class
public static void main(String args[]) {
// The following is an implicit upcast:
Fruit parent = new Apple();
// The following is a downcast. Here, it works since the variable `parent` is
// holding an instance of Apple:
Apple child = (Apple)parent;
}
manifest vs inferred typings
manifest typing
Manifest typing is explicit identification by the software programmer of the type of each variable being declared.
For example: if variable X is going to store integers then its type must be declared as integer.
int addone(int x) {
int result; /* declare integer result */
result = x + 1;
return result;
}
The type system rejects, at compile-time, such fallacies as trying to pass a string to addone
function.
inferred typing
Type inference refers to the automatic detection of the data type of an expression in a programming language.
This JavaScript example would not work in C language :
function addOneThenOne(x) {
var result; /* inferred-type variable result */
var result2; /* inferred-type variable result #2 */
result = x + 1;
result2 = result + 1.0;
return result2;
}
addOneThenOne(2); // return 4
nominal vs structural typings
nominal typing
A nominal or nominative type system (or name-based type system) is a major class of type system, in which compatibility and equivalence of data types is determined by explicit declarations and/or the name of the types.
Nominal typing means that two variables are type-compatible if and only if their declarations name the same type.
For example, in C, two struct
types with different names in the same translation unit are never considered compatible, even if they have identical field declarations.
C++, C#, Java, Objective-C, Delphi, Swift, and Rust all primarily use both nominal typing and nominal subtyping.
structural typing
A structural type system (or property-based type system) is a major class of type system, in which type compatibility and equivalence are determined by the type’s actual structure or definition, and not by other characteristics such as its name or place of declaration.
pros vs cons
Nominal typing is useful at preventing accidental type equivalence, which allows better type-safety than structural typing. The cost is a reduced flexibility, as, for example, nominal typing does not allow new super-types to be created without modification of the existing subtypes.
duck typing
“If it walks like a duck and it quacks like a duck, then it must be a duck.”
Usually evaluated at runtime, some languages have capabilities to evaluate it at compile time.
duck typing is not equal to structural typing
The main difference is that structural typing is enforced during static analysis found in statically typed languages, while duck typing is a runtime phenomenon emerging from the object semantics of dynamically typed languages.
In other wors, structural typing is a static typing and duck typing is a dynamic typing.


--- layout: page status: publish published: true title: Grazing Improvement Area author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>wordpress_id: 3540 wordpress_url: http://gis.utah.gov/?page_id=3540 date: '2011-11-18 15:55:08 -0700' date_gmt: '2011-11-18 22:55:08 -0700' categories: [] tags: - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide ---
Data Type: GIS Data Layer
Steward(s): AGRC and USDA
Abstract:
This dataset contains statewide Grazing Improvement Program boundaries for use in planning and land management.
Usage: There are no constraints or warranties with regard to the use of this dataset.
Last Update: September 2009
Contact: AGRC
Links: FGDC Metadata
Other datasets:
Grazing Allotments


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Free money, expensive time: how will we use cash tomorrow?
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Microtransactions and your soul
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A girl I work with told me she had some good pills. She said they were 'codeine coated morphine'. I had never heard of it but was curious. After research I found that they were generic for MS contin made by Watson. So I got 3 and ended splitting them with two friends. We took them at ten o’clock and after about twenty minutes the first effects were coming, keep in mind that around 9:30 I smoked a blunt, and my friends felt the same way. At about 10:30-10:40 I had my first wave. It was a wonderful feeling I just felt like I weighed a ton and that I was I going to sink through the chair.
Around 11, the buzz had kind of gone away. I still felt it, it was just a little weaker. We thought it was because we only took one. We decided to smoke a joint, and right about the time I got high the second wave of morphine came. And then I just went off into nothing. I could think of things to say to my friends but they wouldn’t come out.
Now, at about 11:20, I’m sitting outside in a camping chair stargazing with my head leaned back. I also tend to be smoking a lot of cigarettes (almost chain smoking) but it just helped my buzz so much. After a couple more waves I decided to go home. I had thought that I had come down but then I smoked a bowl and that just brought it right back for about twenty minutes. I also had a very dreamy sleep, it was a very nice buzz. They were 30 mg but the company makes them up to 200mg so I will definitely go for a bigger dose next time.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Thank you for trying to leave a message on this site. You are actually on a website that is not a real business. This is a simulation.
Do not worry we did not save any of your information. Be safe out there!
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FREEZE
Select price amplitude:
0.5 pips shown from top of book
Leyend:
EMPTY BID
QUOTE BID
TI TOB BID
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EMPTY ASK
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OWN BUY
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PoGoMap Config
{% if alert %}
Success! Config has been changed.
Click here to return to the map.
{% endif %}
GMaps API Key
Get it from your
Google Developer Console
.
Language Settings
{% for la in locales_available %}
{{ la[1] }}
{% endfor %}
PTC Accounts
{% for account in accounts %}{{ account['username'] }}:{{ account['password'] }} {% endfor %}
Config Password
Protect this config with a password.
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REPORTING = {"output/reporting"}
fold = os.environ.get("QB_FOLD", "test")
EXPO = {
"output/expo/test.questions.csv",
"output/expo/{}.buzz".format(fold),
"output/expo/{}.final".format(fold)
REPORTING = {"output/reporting"}
EXPO = {
"output/expo",
}
CHECKPOINT_TARGETS = PRE_PROCESS_TARGETS | GUESS_TARGETS | CLM_TARGETS \
| CLASSIFIER_TARGETS | SPARK_FEATURE_TARGETS | VW_INPUT | VW_MODELS \


--- layout: docs_default title: Unit Neurons Documentation - Issues ---
Thread 2: EXC_BAD_ACCESS (code=EXC_I386_GPFLT) error at async function
Thread 2: EXC_BAD_ACCESS (code=EXC_I386_GPFLT)


About
let me introduce myself...
Hi, my name is Danielle Orley. I’m a detail oriented Full-Stack Web Developer,
who recently earned a certificate in web development from the University of Washington. I want to keep learning about the things
I enjoy and push myself to be a better developer. I take pride in my work and the websites I’ve worked on. Working in the military,
retail, and quality control, has taught me to stay calm, react quickly, and take initiative. I’m a hard worker and strive for excellence.
My focus is mobile-first responsiveness with HTML, CSS, and JavaScript.
Then I focus on the functionality of the website with Node.js, Express, MySql, and MongoDB.
I’m always learning and experimenting with different languages and tools, and I never get bored. I
f you would like to see what I’ve created before scroll down. If you want to get ahold of me download
my resume or click here to contact me!


Udayan Care (India), SOS Children’s
Villages, University of Hildesheim (Germany), Kinderperspectief (Netherlands) came
together along with Care Leavers Networks from different parts of the world, to convene
a Virtual Care Leavers Convention in October – November 2020.
The convention was planned with the objective to connect Care Leavers
internationally and enable their coming together on a common and safe platform to learn,
share and exchange their experiences, knowledge and challenges. The whole convention was
designed as not just as a one day event but a series of pre-events leading to a three
day main convention comprising of interface sessions with service providers, researchers
and policy makers working with and for Care Leavers.
Registered in 1994 as a Public Charitable Trust, Udayan Care works to empower vulnerable children, women, and youth, in 27 cities across 15 states of India. Udayan Care accords the highest importance to child and youth participation and encouraging their direct voices to be heard. In 26 years, we have directly impacted the lives of about 30,000 children, women, and youth as beneficiaries as well as thousands as indirect beneficiaries through our advocacy, research, publications and training programmes. Udayan Care has recently concluded a seminal research on Aftercare in India. The research has initiated a much-needed discourse on the need for robust Aftercare Programming among different stakeholders in India including Care Leavers and has been widely appreciated nationally and internationally. Post this research, we are also piloting demonstrable evidence building projects on Alternative Care in different states of India, with a focus on transition planning and aftercare. Efforts are also being made to bring Care Leavers together as peer-support networks in different states of India.
The University of Hildesheim – Germany is regionally and transnationally connected through intense contacts with research organisations, NGOs, social service organisations and educational institutions. Its strength in research is widely visible and comprises diverse topics, different theoretical approaches and methodologies. There has been much research on young people’s rights and vulnerable groups with a focus on public child and youth care at the Institute of Social Pedagogy and Organization Studies. It founded a research cluster on residential and foster care. The cluster focuses on basic research to support reforms in this sector. The Institute is also part of the International Research Network on Transitions to Adulthood from Care (www.globalintrac.com).
Kinderperspectief is committed to children and young people in the Netherlands and Southeast Europe who grow up in difficult circumstances. They want to offer them a better future perspective. They do this by supporting and helping to develop projects and initiatives together with partner organizations. They consider the perspective that children and young people themselves have on their situation and future very important. Their motto is therefore: “See through the eyes of children and young people and build their future together”. See more at https://www.kinderperspectief.nl/organisatie/
SOS Children’s Village is a global federation working to protect and care for children who have lost parental care, or who stand at risk of loosing it. They work with communities, partners and States to ensure that the rights of all children, in every society, are fulfilled. They are an independent, secular, a political non-government organisation working in the spirit of the United Nations Convention on the Rights of the Child with five regional offices in five continents. They believe that every child belongs to a family and has the right to grow with love, respect and security.
Care Leavers Association and Network, Delhi: An independent youth collective for all care leavers in Delhi, India to encourage peer support, advocate for their rights and create a network of mentors to guide CLAN.
Zimbabwe Care Leavers Network contributes to capacity development and engage with duty bearers to influence policies and programs affecting children and young people in residential care
Generation Never Give Up is a space for youth who are leaving care homes in Sri Lanka to find the support they need to face the challenges of an independent life, through a nation-wide peer network.
Latin American Network of Graduates of Protection is a group of Latin American organizations that work to improve the lives of all adolescents and young people who live or lived in state care devices.


Hotdog or not a hotdog
Using machine learning to solve today's biggest problems
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Using machine learning to solve today's biggest problems


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Data Structures | |
| struct | printf_conversion |
| Conversion data for stream_vprintf(). More... | |
| struct | stream_ops |
| Stream backend operations. More... | |
Enumerations | |
| enum | conversion_state { STATE_NORMAL, STATE_FLAG, STATE_WIDTH, STATE_PERIOD, STATE_PRECISION, STATE_LENGTH, STATE_CONVSPEC } |
stream_vprintf() format conversion state. More... | |
Functions | |
| static void | stream_priv_write (struct stream *stream, const char *data, size_t len) |
| Write characters to the output stream. | |
| static int | stream_priv_putchar (struct stream *stream, char c) |
| Send one character to the output stream. | |
| static int | stream_priv_putstr (struct stream *stream, const char *str) |
| Send a nul-terminated string to the output stream. | |
| static void | stream_priv_commit (struct stream *stream) |
| Commit the output stream. | |
| static int | stream_priv_print_signed (struct stream *stream, struct printf_conversion *conv) |
| Print a signed integer according to the conversion specification. | |
| static int | stream_priv_print_unsigned (struct stream *stream, struct printf_conversion *conv) |
| Print an unsigned integer according to the conversion specification. | |
| static unsigned int | stream_buf_size (struct stream *stream) |
| Return the size of the buffer associated with stream. | |
| static bool | stream_buf_has_data (struct stream *stream) |
| Return true if stream contains any data which can be extracted. | |
| static bool | stream_buf_is_full (struct stream *stream) |
| Return true if stream currently cannot accept any more data. | |
| static unsigned int | stream_buf_unused (struct stream *stream) |
| Return the number of bytes available for insertion into stream. | |
| static unsigned int | stream_buf_used (struct stream *stream) |
| Return the number of bytes available for extraction from stream. | |
| static unsigned int | stream_buf_unused_before_end (struct stream *stream) |
| Return the number of unused bytes before the buffer wraps around. | |
| static unsigned int | stream_buf_used_before_end (struct stream *stream) |
| Return the number of bytes available for extraction from stream before the buffer wraps around. | |
| static unsigned int | stream_buf_head (struct stream *stream) |
| Return the head index of stream, i.e. the index at which to insert the next byte. | |
| static unsigned int | stream_buf_tail (struct stream *stream) |
| Return the tail index of stream, i.e. the index at which to extract the next byte. | |
| static char | stream_buf_insert_char (struct stream *stream, char c) |
| Insert the character c at the head of stream. | |
| static char | stream_buf_extract_char (struct stream *stream) |
| Extract one character from the tail of stream. |
| enum conversion_state |
stream_vprintf() format conversion state.
For internal use only.
This indicates what the parser will be looking for next. The parser may pass through several states for each character in the format conversion spec, as many of the fields are optional.
Definition at line 58 of file stream_core.c.
| static char stream_buf_extract_char | ( | struct stream * | stream | ) | [inline, static] |
Extract one character from the tail of stream.
Definition at line 225 of file stream.h.
References assert, stream::data, stream::ring, ring_extract_entries(), stream_buf_has_data(), and stream_buf_tail().
Referenced by snprintf_stream_commit(), and sprintf_stream_commit().
| static bool stream_buf_has_data | ( | struct stream * | stream | ) | [inline, static] |
Return true if stream contains any data which can be extracted.
Definition at line 149 of file stream.h.
References stream::ring, and ring_is_empty().
Referenced by snprintf_stream_commit(), sprintf_stream_commit(), and stream_buf_extract_char().
| static unsigned int stream_buf_head | ( | struct stream * | stream | ) | [inline, static] |
Return the head index of stream, i.e. the index at which to insert the next byte.
Definition at line 193 of file stream.h.
References stream::ring, ring_get_head(), and stream_buf_size().
Referenced by stream_buf_insert_char(), and stream_priv_write().
| static char stream_buf_insert_char | ( | struct stream * | stream, | |
| char | c | |||
| ) | [inline, static] |
Insert the character c at the head of stream.
Definition at line 211 of file stream.h.
References assert, stream::data, stream::ring, ring_insert_entries(), stream_buf_head(), and stream_buf_is_full().
| static bool stream_buf_is_full | ( | struct stream * | stream | ) | [inline, static] |
Return true if stream currently cannot accept any more data.
Definition at line 155 of file stream.h.
References stream::ring, ring_is_full(), and stream_buf_size().
Referenced by stream_buf_insert_char().
| static unsigned int stream_buf_size | ( | struct stream * | stream | ) | [inline, static] |
Return the size of the buffer associated with stream.
Definition at line 143 of file stream.h.
References stream::ring_mask.
Referenced by stream_buf_head(), stream_buf_is_full(), stream_buf_tail(), stream_buf_unused(), stream_buf_unused_before_end(), and stream_buf_used_before_end().
| static unsigned int stream_buf_tail | ( | struct stream * | stream | ) | [inline, static] |
Return the tail index of stream, i.e. the index at which to extract the next byte.
Definition at line 202 of file stream.h.
References stream::ring, ring_get_tail(), and stream_buf_size().
Referenced by stream_buf_extract_char().
| static unsigned int stream_buf_unused | ( | struct stream * | stream | ) | [inline, static] |
Return the number of bytes available for insertion into stream.
Definition at line 161 of file stream.h.
References stream::ring, ring_entries_unused(), and stream_buf_size().
Referenced by stream_priv_write().
| static unsigned int stream_buf_unused_before_end | ( | struct stream * | stream | ) | [inline, static] |
Return the number of unused bytes before the buffer wraps around.
Definition at line 173 of file stream.h.
References stream::ring, ring_entries_unused_before_end(), and stream_buf_size().
Referenced by stream_priv_write().
| static unsigned int stream_buf_used | ( | struct stream * | stream | ) | [inline, static] |
Return the number of bytes available for extraction from stream.
Definition at line 167 of file stream.h.
References stream::ring, and ring_entries_used().
| static unsigned int stream_buf_used_before_end | ( | struct stream * | stream | ) | [inline, static] |
Return the number of bytes available for extraction from stream before the buffer wraps around.
Definition at line 183 of file stream.h.
References stream::ring, ring_entries_used_before_end(), and stream_buf_size().
| static void stream_priv_commit | ( | struct stream * | stream | ) | [static] |
Commit the output stream.
For internal use only.
This will tell the stream backend that the output buffer contains new data, which may trigger the backend to push the data to the hardware.
| stream | The stream into which new data has been inserted. |
Definition at line 183 of file stream_core.c.
References stream_ops::commit, and stream::ops.
| static int stream_priv_print_signed | ( | struct stream * | stream, | |
| struct printf_conversion * | conv | |||
| ) | [static] |
Print a signed integer according to the conversion specification.
For internal use only.
| stream | The stream to which the output is to be sent | |
| conv | conversion data parsed from the format string. |
Definition at line 198 of file stream_core.c.
References printf_conversion::arg, printf_conversion::d, printf_conversion::pad_char, stream_priv_write(), and printf_conversion::width.
| static int stream_priv_print_unsigned | ( | struct stream * | stream, | |
| struct printf_conversion * | conv | |||
| ) | [static] |
Print an unsigned integer according to the conversion specification.
For internal use only.
| stream | The stream to which the output is to be sent | |
| conv | Conversion data parsed from the format string. |
Definition at line 247 of file stream_core.c.
References printf_conversion::arg, printf_conversion::pad_char, printf_conversion::spec, stream_priv_write(), printf_conversion::u, and printf_conversion::width.
| static int stream_priv_putchar | ( | struct stream * | stream, | |
| char | c | |||
| ) | [static] |
Send one character to the output stream.
For internal use only.
| stream | The stream to which the output is to be sent | |
| c | Character to be inserted into the stream buffer |
Definition at line 147 of file stream_core.c.
References stream_priv_write().
| static int stream_priv_putstr | ( | struct stream * | stream, | |
| const char * | str | |||
| ) | [static] |
Send a nul-terminated string to the output stream.
For internal use only.
| stream | The stream to which the output is to be sent | |
| str | Nul-terminated string to be inserted into the stream buffer |
Definition at line 164 of file stream_core.c.
References stream_priv_write(), and strlen().
| static void stream_priv_write | ( | struct stream * | stream, | |
| const char * | data, | |||
| size_t | len | |||
| ) | [static] |
Write characters to the output stream.
For internal use only.
| stream | The stream to which the output is to be sent | |
| data | Pointer to the character buffer. | |
| len | Length of the character buffer in bytes. |
Definition at line 115 of file stream_core.c.
References cpu_irq_restore(), cpu_irq_save(), stream::data, stream_ops::make_room, memcpy(), min_u, stream::ops, stream::ring, ring_insert_entries(), stream_buf_head(), stream_buf_unused(), and stream_buf_unused_before_end().
Referenced by stream_priv_print_signed(), stream_priv_print_unsigned(), stream_priv_putchar(), and stream_priv_putstr().


Welcome to The Tiny Store!
Sign In to access your account or Sign Up to receive our news on your email and get exclusive discounts!
Welcome to The Tiny Store!
Sign In to access your account or Sign Up to receive our news on your email and get exclusive discounts!


--- layout: page title: About header-img: "img/about-bg.png" ---
Based in State College, PA. Aside from coding, has much experience in academia and museums.


Here are your results!!!
Only purchase up to this quantity to manage risk
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Know your stops and targets in an instant
Disclaimer:The content of the feature is not intended as investment advice. This feature is only intended for information purposes only and does not constitute if a share will be bought or sold.
Based on the stock's current trend, volatility, and sentiment.
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property MouseListener: TCustomLayer;
Indicates the layer which has captured mouse messages. By default, the layer captures mouse if the left mouse button is pressed and releases it when the mouse button is released.
Note, that since layers have nothing to do with windowed controls, this property is just a simulation of standard mouse capturing. Windows still 'thinks' that the mouse is captured to the owner of the layer collection (TCustomImage32), which in turn redirects mouse messages to an appropriate layer.


PAMI\Message\Action\ActionMessage::setActionID
Sets Action ID.
The ActionID can be at most 69 characters long, according to {@link https://issues.asterisk.org/jira/browse/14847 Asterisk Issue 14847}. Therefore we'll throw an exception when the ActionID is too long.
Signature
public function setActionID(The
$actionID )
Parameters
$actionID
— object- Action ID to have this action known by
Returns
- void
Errors/Exceptions
-
PAMIException
- When the ActionID is more then 69 characters long


On the 4thth of September you will learn about E=MC2.
The amount of CO2nd in the atmosphere grew by 2ppm in 20091.


Will your team win the NCAA Tournament?
Will they make the Final Four?
This interactive bracket give you the odds for the 2014 March Madness bracket.
To unlock these win probabilities, hover over the circles that correspond to the games. To see how your team will do, hover over its name.
The 416 initial win probabilities are calculated based on our college basketball rankings, which result from crunching over 10,000 numbers.
We also have data visualizations that let you instantly evaluate a tourney game. Check out our premium college basketball product.
The Power Rank is enlightenment through sports analytics.
Want more advice on filling out your bracket? Just enter your email and click "Sign Up Now".
visualization by angi chau with d3, numbers based on The Power Rank.


This app was developed based on the data about MLB teams and their game statistics during 1969-2018 seasons (collected on the baseball reference website at this link).
Using a multiple linear regression model, it will output the estimated winning rate for a certain team in one baseball game based on user inputs.
Haorui Zhang
Last Updated: 06/03/2019


I always had a suspicion I would study to be a developer. My days at Akron had taught me that. Attending a few meetups and speaking with those who had knowledge of such things peaked my interest. In class we commonly used stats programs to process huge amounts of information that would spit out a nice graph telling a story about what all the otherwise was "just" numbers. I remember thinking how cool it would be to save time like that in other places in life.


Made with {% include icon.html icon='heart' icon_size='13' %} by {% include icon.html icon='elkfox' icon_size='35' %}


--- layout: foundation ---
Established in 2011, raising and investing funds into research and programs
Lorem ipsum dolor sit amet consectetur adipisicing elit. Aut officia eveniet minus doloribus natus recusandae assumenda, omnis sint. Aspernatur voluptatem, autem deserunt harum architecto cupiditate est quo assumenda sequi quaerat.
Lorem, ipsum dolor sit amet consectetur adipisicing elit. Modi ratione harum perferendis dolorum a aliquid quae reprehenderit beatae exercitationem culpa. Quas odio perspiciatis provident aut deleniti nihil iusto sit officia!
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Donate NowSo glad I chose RTO. It is the best for benefits, seniors’ advocacy and travel insurance…best of all it is member owned. — Linda Toth
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
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Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.


{% extends "leaderboards/base.html" %} {% block breadcrumbs %}
Want to add a new record?
Let's do it
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{{ event.datetime|timesince }} ago: {{ event.text }}! {% if event.video_url %} {% endif %} {% if event.information_url %} {% endif %}
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I used webscraping tools to extract video information from youtube video links. Please see this corresponding Medium Blog by me for the details.
Random walk is the starting point of many stochastic processes. I implemented a 2- dimensional and 3 - dimensional random walk in python. Please see this corresponding Medium Blog by me for the details.
Robotic Process Automation is the future of web development. In this project I have shown how to implement a Robotic Process Automation Script to automatically get a product from amazon. Please see this corresponding Medium Blog by me for the details.
Principal Component Analysis is a useful tool in statistical analysis of many high-dimensional studies. Here I have implemented a Bayesian Principal Component Analysis from scratch in python and R.
I worked on a project in a group of 5 people in the analysis of large datasets of astronomical images and distributed the analysis with PySpark. My specific tasks were implementing deblending, data visualization and verification and validation of analysis.
I worked on analysis of clinical datasets involving region-specific COVID-19 patients on the effect of Hydroxychloroquine, under the supervision of Dr. Richard Gill. It was presented at Bernoulli IMS One-World Symposium, 2020.
In the group project to investigate oligomers of a bio-protein, I was involved in the modelling and verification of the oligomeric species from spectroscopy data analysis. Published in peer-reviewed journal.
My Master Thesis in Physics (solid-state, quantum computational) at Indian Institute of Science Education and Research Kolkata.
I have worked in the development of a new quantum master equation related to solid-state magnetic resonance and used quantum simulations
for verification and validation.
Grade Received : 9/10
My Master Thesis in Statistics (missing data, statistical analysis, statistical computation) at Leiden University.
I am working in an extension of a method of prediction calibration with missing data in the predictors. The validation of the methods is
done with simulations of analysis of previously analysed data and verification with clinical data in collaboration with Leiden University
Medical Centre.
Grade pending


{#This will hold my PRC simultator online version#} {% extends "blog/base.html" %} {% block content %}
I want to take my rock paper scissors project even further. What I want to do is to deploy rock paper scissors simulator UI via online using ReactJS; then, the result will be saved to MySQL database, which will be used to generate a graph using Chart.js. This will test validity of the logic explained in my Rock Paper Scissors Offline project when there is no physical motion attatched to each choices.
{% endblock content %}


|
Teetool
Probabilistic modelling of trajectories
|
World class handles all trajectory data. More...
Public Member Functions | |
| def | __init__ (self, name="", ndim=3, resolution=[10) |
| initialise World More... | |
| def | clear (self) |
| clear previously stored calculations More... | |
| def | overview (self) |
| prints an overview (text) More... | |
| def | addCluster (self, cluster_data, cluster_name="") |
| add a cluster to the world More... | |
| def | getName (self) |
| returns the name of the world More... | |
| def | getCluster (self, list_icluster=None) |
| obtain cluster data More... | |
| def | getClusterPoints (self, x1, list_icluster=None) |
| obtain cluster data at specific points [0, 1] More... | |
| def | getTubeStats (self, list_icluster=None, sdwidth=1., resolution=None) |
| obtain statistics of confidence region in scenarios More... | |
| def | isInside (self, P, sdwidth=1, list_icluster=None) |
| def | getSamples (self, icluster, nsamples=50) |
| returns samples in a list of (x, Y) data More... | |
| def | buildModel (self, settings, list_icluster=None) |
| generates a model from the trajectory data More... | |
| def | getMean (self, list_icluster=None) |
| returns the mean trajectory [x, y, z] for list_icluster More... | |
| def | getTube (self, list_icluster=None, sdwidth=1, resolution=None, z=None) |
| returns a grid with bools to specify whether a point falls within the confidence region or not More... | |
| def | getLogLikelihood (self, list_icluster=None, resolution=None, z=None) |
| returns a grid with the maximum log-likelihood More... | |
Public Attributes | |
| fraction_to_expand | |
| fraction on edges, default 0.1 More... | |
Private Member Functions | |
| def | _check_icluster (self, icluster) |
| checks the validity of icluster More... | |
| def | _check_list_icluster (self, list_icluster) |
| checks the validity of a list of icluster More... | |
| def | _getGrid (self, outline, resolution=None) |
| returns a grid based on outline and resolution More... | |
| def | _get_outline_expanded (self, list_icluster=None, fraction_to_expand=0.1) |
| returns an expanded grid based on the outline of trajectory data in list_icluster More... | |
| def | _get_outline (self, list_icluster=None) |
| returns a grid based on the outline of trajectory data in list_icluster More... | |
| def | _get_outline_tube (self, sdwidth=1, list_icluster=None) |
| returns the outline of a tube of specified clusters More... | |
| def | _get_point_from_cluster_data (self, cluster_data, x1) |
| def | _get_point_from_xY (self, x, Y, x1) |
| returns the points nearest to x1 More... | |
Private Attributes | |
| _name | |
| name of world More... | |
| _ndim | |
| number of dimensions trajectory data More... | |
| _clusters | |
| list holding clusters More... | |
| _resolution | |
| resolution of grid More... | |
World class handles all trajectory data.
This class provides the direct interface to the trajectory data and produce models
| def teetool.world.World.__init__ | ( | self, | |
name = "" , |
|||
ndim = 3 , |
|||
resolution = [10 |
|||
| ) |
initialise World
| self | object pointer |
| name | world name, used in title and saving image |
| ndim | number of dimensions in trajectory data |
| resolution | specify resolution of grid |
|
private |
checks the validity of icluster
| self | object pointer |
| icluster | value to test |
|
private |
checks the validity of a list of icluster
| self | object pointer |
| list_icluster | list of icluster to test |
|
private |
returns a grid based on the outline of trajectory data in list_icluster
| self | object pointer |
| list_icluster | list of clusters to take into account |
returns the outline of specified clusters list_icluster is list of clusters, if None, show all
|
private |
returns an expanded grid based on the outline of trajectory data in list_icluster
| self | object pointer |
| list_icluster | list of clusters to take into account |
| fraction_to_expand | fraction to expand the outline with |
|
private |
returns the outline of a tube of specified clusters
| self | object pointer |
| sdwidth | variance to evaluate confidence region on |
| list_icluster | clusters to evaluate confidence on. None shows all |
|
private |
|
private |
returns the points nearest to x1
| self | object pointer |
| x | x from (x, Y), to find the relevant index |
| Y | Y from (x, Y), one of these values gets returned |
| x1 | timing [0, 1] to visualise points |
|
private |
returns a grid based on outline and resolution
| self | object pointer |
| outline | outline to generate grid from |
| resolution | resolution to generate grid from |
| def teetool.world.World.addCluster | ( | self, | |
| cluster_data, | |||
cluster_name = "" |
|||
| ) |
add a cluster to the world
| self | object pointer |
| cluster_data | list of (x, Y) trajectory data |
| cluster_name | name of added cluster |
| def teetool.world.World.buildModel | ( | self, | |
| settings, | |||
list_icluster = None |
|||
| ) |
generates a model from the trajectory data
| self | object pointer |
| settings | specify settings in dictionary model_type is resampling, ML, or EM ngaus is number of Gaussians |
| list_icluster |
| def teetool.world.World.clear | ( | self | ) |
clear previously stored calculations
| self | object pointer |
| def teetool.world.World.getCluster | ( | self, | |
list_icluster = None |
|||
| ) |
obtain cluster data
| self | object pointer |
| list_icluster | list of clusters to return |
| def teetool.world.World.getClusterPoints | ( | self, | |
| x1, | |||
list_icluster = None |
|||
| ) |
obtain cluster data at specific points [0, 1]
| self | object pointer |
| x1 | timing [0, 1] to visualise points |
| list_icluster | list of clusters to return |
| def teetool.world.World.getLogLikelihood | ( | self, | |
list_icluster = None , |
|||
resolution = None , |
|||
z = None |
|||
| ) |
returns a grid with the maximum log-likelihood
| self | object pointer |
| list_icluster | which clusters to return |
| resolution | the resolution to produce the grid on |
| z | (optional) height parameter to produce 2d grids for 3d trajectories |
| def teetool.world.World.getMean | ( | self, | |
list_icluster = None |
|||
| ) |
returns the mean trajectory [x, y, z] for list_icluster
| self | object pointer |
| list_icluster | specify clusters |
| def teetool.world.World.getName | ( | self | ) |
returns the name of the world
| self | object pointer |
| def teetool.world.World.getSamples | ( | self, | |
| icluster, | |||
nsamples = 50 |
|||
| ) |
returns samples in a list of (x, Y) data
| self | object pointer |
| icluster | specify from which cluster to sample |
| nsamples | number of samples to generate |
| def teetool.world.World.getTube | ( | self, | |
list_icluster = None , |
|||
sdwidth = 1 , |
|||
resolution = None , |
|||
z = None |
|||
| ) |
returns a grid with bools to specify whether a point falls within the confidence region or not
| self | object pointer |
| list_icluster | which clusters to return |
| sdwidth | variance to test |
| resolution | the resolution to produce the grid on |
| z | (optional) height parameter to produce 2d grids for 3d trajectories |
| def teetool.world.World.getTubeStats | ( | self, | |
list_icluster = None , |
|||
sdwidth = 1. , |
|||
resolution = None |
|||
| ) |
obtain statistics of confidence region in scenarios
| self | object pointer |
| list_icluster | list of clusters to analyse |
| sdwidth | variance to evaluate |
| resolution | resolution of grid |
| def teetool.world.World.isInside | ( | self, | |
| P, | |||
sdwidth = 1 , |
|||
list_icluster = None |
|||
| ) |
returns list of bools, whether or not the points P are inside any of the models list_icluster can be set to limit the check to a single values
| def teetool.world.World.overview | ( | self | ) |
prints an overview (text)
| self | object pointer |
|
private |
list holding clusters
|
private |
name of world
|
private |
number of dimensions trajectory data
|
private |
resolution of grid
| teetool.world.World.fraction_to_expand |
fraction on edges, default 0.1


Many people wonder about the interactions between psychiatric meds and psychedelics. I have the answers you need.
Here is a timeline of my experience:
00:00
Took 150mg of Effexor and 36mg of Concerta, followed by 100mg of 5-MeO-DiPT and 75mg AMT which I smoked. Some people complain about the harshness of AMT smoke and I can agree that it did cause a little distress in my lungs, but not anything that did not fade shortly after.
Immediately I knew that I had done appropriate amounts of the psychedelics. I have found that it takes significantly larger doses of substances to produce an effect in my system. This is most likely a product of the Effexor and Zyprexa. The reason? Effexor downregulates serotonin receptors and Zyprexa actively antagonizes 5-HT2 receptors. Thus a much larger dose of the substances was required to provide the desired effect.
As for my mindset at the time, I am very content. I am never in a bad mindset when I do psychedelics. I openly accept their effects and have an air of excitement about myself for experiencing the unknown.
00:05
I am already feeling the come on from both the AMT and the 5-MeO-DiPT. This is very interesting. I'm listening to some music and the pitch of the instruments is correct, but the pitches of the vocals are much lower than usual. This is very strange, but I like it.
00:20
The AMT is starting to take hold and I am seeing form constants and visual pattering.
01:00
Both of the substances have completely taken hold.
I have gone to the science building to get on the internet. The pitches of the vocals is still altered.
02:00
I'm now at a coffee shop talking to some friends. They've noticed that my eyes are very dilated and are convinced that I'm on acid. Hah, if they only knew!
03:00
My vision is now very blurry. I don't mind though. The AMT seems to induce a beautiful mindset for it's effects to take hold under.
07:00
The 5-MeO-DiPT is starting to subside, but the AMT is still full blown out there. I am back at my apartment listenning to music and I am loving it!
10:00
The AMT is starting to decline. I am very euphoric and the visuals are getting a bit less intense.
12:00
The visuals are almost gone and I am still in a very good mood. This has been an intense trip.
12:30
I have decided to go to sleep.
20:00
I am now awake and I am still feeling some of the effects of AMT. It has a very pleasant afterglow, which I am thouroghly enjoying.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
Preheat the oven to 200C/400F/Gas 6.
For the filling, peel, quarter and core the apples and cut into large chunks. Place in a shallow ovenproof dish.
Zest and juice the orange, adding the zest and juice to the apples. Mix together with your hands.
Bruise the rosemary sprigs and scatter over the apples. Toss over the blackberries, add a splash of water and scatter over the sugar.
For the crumble topping, place the almonds, flour, polenta, butter and sugar in a food processor and pulse briefly several times, just to mix. The mixture should look like coarse breadcrumbs.
Tip out into a bowl and add a splash of water. Use a spoon to mix briefly - it should be quite clumpy.
Sprinkle the crumble mixture over the fruit.
Place in the oven and bake for 20 minutes.
Turn down the heat to 180C/350F/Gas 4 and cook for a further 20-25 minutes, until the top is nicely browned and bubbling.
Serve with pouring cream or custard.


This is a domain-based access control demo. Access is granted when this page is requested by the domain "localhost" or by any domain deployed to Red Hat's Openshift Express cloud. (See the demo below) for info on how to get started deploying apps to the cloud in about 10 minutes.)
If you want to see the Access Denied page. Try accessing this page locally at <IP_ADDRESS>, or use the IP address of the cloud server instead of the qualified DNS name.
Domain-based access control can be useful providing different types of access for different domain users, like what github does. Crazy!
To replace this page, edit 'src/main/webapp/index.xhtml', or keep Forging!


Intel is purging in end-of-life drivers and BIOS update downloads
Driver... we barely knew yer
by Roland Moore-ColyerTHE END IS NIGH for some old and creaky Intel drivers and BIOS updates, as the chipmaker is sending them to the great software graveyard in the cyber sky.
Intel is consigning a suite of CPU, GPU, network chip and other drivers, as well as BIOS updates for older systems, to end-of-life status. This means the drivers and BIOS updates won't be available to download once they've been consigned to this form of digital bone orchard.
It used to be the case that when such software reached its end-of-life stage, Intel would keep it available as a download but not offer any security or bug fixes for it, effectively offering it to folks "as is"; think of it as akin to buying a car online from only looking at its pictures.
But Intel has now pulled the plug on that, with BeepingComputer noting that when a driver or BIOS update reaches the end of its support from Intel, it will be no longer available to download. That'll be a kicker for people running pretty old systems, such as using an old PC as a local file or media server without the worry that they'll bork an expensive modern machine.
If you're running a machine that you wish to keep ticking along in the near future, then it's probably best to back up the drivers you have that are currently in good working order. And if the drivers you are using haven't yet reached end-of-life but are getting on a bit, we'd advise you download them to a USB drive or other backup media so you can to sort out a PC heading to Borksville without having to rely on Intel.
Given Intel seems to be beavering away at next-gen chips and graphics, we can hardly blame it for calling time on old drivers and other digital bits, but it's still a little sad that some old but functional PCs could suffer from the winds of change. µ
Further reading
Intel reveals Ponte Vecchio as 'world's first' exascale GPU
- 19 Nov 2019
Netflix could shift from Intel Xeon to AMD Epyc CPUs in its streaming servers
- 05 Nov 2019
Intel's Ponte Vecchio Xe GPU is named after a bridge and isn't for you
- 14 Nov 2019
Intel's latest Nervana AI chips have their heads in the cloud
- 13 Nov 2019