This API has been deprecated.
Partners and customers using a deprecated API should contact SAP Concur and discuss moving to the latest versions.
Learn more in the API Lifecycle & Deprecation Policy.
This request is sent when the Travel user selects a rate for the hotel. The response includes the rules for the specified rate.
UTF-8
The Hotel direct connect sends the relevant information to a URI that the travel supplier maintains. The standard location is:
https://{servername}/concur/hotel/v1/
The supplier determines the URI and provides it to SAP Concur to use when registering the partner application.
application/xml
Authorization header with Basic credentials. Required.
The request will contain a OTA_HotelBookingRuleRQ parent element, containing the following attributes:
The OTA_HotelBookingRuleRQ parent element contains the following child elements:
| Element | Description |
|---|---|
| POS | The point of sale information. Contains a Source child element that specifies the source of the request. For information about Source element, see the Source elements table below. |
| RuleMessage | This element has the HotelCode attribute. For information about the child element of this parent element, see the StatusApplication elements table below. |
The Source element has the following attributes:
The Source element contains the following element:
| Element | Description |
|---|---|
| RequestorID | The corporate identifier. If necessary, multiple RequestorID elements can be sent. This element has the following attributes: Type: The type code for the corporate identifier. Should be one of the supported ID Type Codes. ID: The corporate identifier. ID_Context: The corporate identifier context. |
This element has the following attributes:
POST /concur/hotel/v1 HTTPS/1.1
Host: example.com
Authorization: Basic ...
Content-Type: application/xml
Content-Length: {length of content body}
<?xml version="1.0" encoding="UTF-8" ?>
<OTA_HotelBookingRuleRQ xmlns="http://www.opentravel.org/OTA/2003/05" EchoToken="ABC123" TimeStamp="2012-01-01T19:00:00" PrimaryLangID="en-us" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.opentravel.org/OTA/2003/05 ../Schemas/OTA_HotelBookingRuleRQ.xsd" Version="1">
<POS>
<Source ISOCountry="US" ISOCurrency="USD">
<RequestorID Type="18" ID="7777777" />
</Source>
</POS>
<RuleMessage HotelCode="HTL1111">
<StatusApplication Start="2012-08-15" End="2010-08-17" RatePlanCode="HTL1_1" />
</RuleMessage>
</OTA_HotelBookingRuleRQ>
The supplier responds to the request by returning the details of the requested rate.
application/xml
The response will include a OTA_HotelBookingRuleRS parent element, with the following attributes:
The OTA_HotelBookingRuleRS parent element contains a Success element if the request was successful. It also contains a RuleMessage element with the HotelCode and HotelName attributes. The RuleMessage element contains the following child elements:
| Element | Required (must contain value)? | Description |
| StatusApplication | Y | This element contains rate details. It has the following attributes: Start: The start date of the request. Format: YYYY-MM-DD End: The end date of the request. Format: YYYY-MM-DD RatePlanCode: The rate plan code for the requested rate. The StatusApplication element contains a RoomRates element with one RoomRate child element for each rate returned. For information about this element, see the RoomRate element table below. |
| GuestCounts | Y | This parent element contains a GuestCount element with the following attributes: AgeQualifyingCode: The value for this element should be 10, which represents an Adult guest. Count: The number of guests included in the request. |
| BookingRules | Y | This parent element contains a BookingRule element. For information about this child element, see the BookingRule element table below. |
The RoomRate element has the following attributes:
The RoomRate element has the following child element:
| Element | Description |
|---|---|
| RateDescription | This parent element contains a Text child element with text details of the room rate. |
| Element | Description |
|---|---|
| AcceptableGuarantees | Information about acceptable guarantees. This element has an AcceptableGuarantee child element. For information about the AcceptableGuarantee element, see the AcceptableGuarantee element table below. |
| CancelPenalties | This element has the CancelPenalty child element. The CancelPenalty element has the PenaltyDescription child element, containing a Text child element with the penalty description text. |
| RequiredPaymts | This element contains the GuaranteePayment element, which has a PaymentCode attribute. The GuaranteePayment element contains the Description element, containing a Text child element with the required payment description text. |
The AcceptableGuarantee element has the GuaranteeCode attribute and the following child element:
| Element | Description |
|---|---|
| GuaranteeDescription | This element has the Text child element, containing the description of the guarantee. |
HTTPS/1.1 200 OK
Content-Type: application/xml
Content-Length: {length of content body}
<?xml version="1.0" encoding="UTF-8" ?>
<OTA_HotelBookingRuleRS xmlns="http://www.opentravel.org/OTA/2003/05" EchoToken="ABC123" TimeStamp="2012-01-01T19:00:00" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.opentravel.org/OTA/2003/05 ../Schemas/OTA_HotelBookingRuleRS.xsd" Version="1">
<Success />
<RuleMessage HotelCode="HTL1111" HotelName="HOTEL1">
<StatusApplication Start="2012-08-15" End="2010-08-17" RatePlanCode="HTL1_1">
<RoomRates>
<RoomRate Amount="100.00" CurrencyCode="USD">
<RateDescription>
<Text>Standard Room</Text>
</RateDescription>
</RoomRate>
</RoomRates>
</StatusApplication>
<GuestCounts>
<GuestCount AgeQualifyingCode="10" Count="1" />
</GuestCounts>
<BookingRules>
<BookingRule>
<AcceptableGuarantees>
<AcceptableGuarantee GuaranteeCode="1">
<GuaranteeDescription>
<Text>Credit Card WILL BE CHARGED IMMEDIATELY FOR THE FULL AMOUNT of the reservation.</Text>
</GuaranteeDescription>
</AcceptableGuarantee>
</AcceptableGuarantees>
<CancelPenalties>
<CancelPenalty>
<PenaltyDescription>
<Text>The hotel imposes the following cancellation penalty: Cancellations or changes made after 11:59 PM on Jun 18, 2012 are subject to a 1 Night Room and Tax penalty. The property makes no refunds for no shows or early checkouts.</Text>
</PenaltyDescription>
</CancelPenalty>
</CancelPenalties>
<RequiredPaymts>
<GuaranteePayment PaymentCode="2">
<Description>
<Text>Prepayment required</Text>
</Description>
</GuaranteePayment>
</RequiredPaymts>
</BookingRule>
</BookingRules>
</RuleMessage>
</OTA_HotelBookingRuleRS>


Enter one to a few words and receive a machine generated quote from Genesis.
User Quote
Please be patient, the proccess can take up to between one to three minutes.
People say, "I'm a woman trapped in a man's body" or "I'm a man trapped in a woman's body," but I say "I'm trapped in a body." - Genesis


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Epic sues yet another tester for leaking Fortnite Chapter 2 secrets
They "deprived Epic of the element of surprise".
News by Imogen Beckhelling, Reporter Intern Updated on 13 November 2019
Epic Games is taking the Fortnite Chapter 2 leaks seriously, as it sues a second tester for revealing secrets about the game online.
Last month, tester Ronald Sykes was sued by the company for leaking the new map design and allegedly breaking a non-disclosure agreement (NDA).
Now, Lucas Johnston, a tester at Montreal's Keywords Studios, has found himself in hot water too. The Canadian Press reports Epic has filed a claim against him in Quebec Superior Court, "alleging he was responsible for the publication of 'highly confidential information'".
According to court documents, Johnston supposedly took a screenshot of the new content, and admitted to emailing said document to himself - but claims "he didn't know how it ended up online".
The documents say he was discovered during an internal investigation by Keywords Studios, which found Johnston was friends with the poster of the leak on Fortnite Competition's official forum. He was then fired on 13th September, the day after the screenshot was posted.
Epic claims Johnston "deprived [the company] of the element of surprise", and violated an NDA - and is now seeking unspecified damages of over $85k.


Police release new photo of missing Edinburgh teen who vanished five days ago
Saffron Anderson was last seen leaving a property in the Leith area of the city during the early hours of Thursday, November 7.
by Daniel Morrow, https://www.dailyrecord.co.uk/authors/daniel-morrow/Police have released a new photo of a missing Edinburgh teenager who vanished five days ago.
Saffron Anderson, who is from the Leith area of the city, was last spotted leaving a property on Portland Street at around 2.30am on Thursday, November 7.
Concerns are now growing for the welfare of the 17-year-old who has still not been traced.
Police Scotland have since posted a fresh appeal with a new image of the missing teen.
She has been described as a white female of slim build, around 5ft 6ins in height with auburn hair which has been dyed black.

A spokesperson for Police Scotland said: “A new image of missing person Saffron Anderson (17) from the Leith area of Edinburgh, believed to be a more up to date image, is now being released to assist in tracing her. Concern is growing for Saffron's welfare.
“Saffron has links to the city centre and Wester Hailes areas of the city.
“Anyone who may have seen Saffron since this time, or who has any information on her whereabouts, is urged to contact Police Scotland via 101 quoting incident number 0314 of November 7.
“Additionally, we urge Saffron herself to contact us.”


Sequence Alignment Revisited
Problem1
We can reduce the space by using only two column instead.
Space-Efficient-Alignment(X ,Y)
- Array B[0…m,0…1]
- Initialize B[i,0]=iδ for each i (just as in column 0 of A)
- For j=1,…,n
- B[0,1]=j$\delta$ (since this corresponds to entry A[0,j])
- For i=1,…,m
- B[i, 1]= min[$\alpha x_iy_j$ + B[i − 1, 0], $\delta$ + B[i−1,1], $\delta$ + B[i,0]]
- Endfor
- Move column 1 of B to column 0 to make room for next iteration:
- Update B[i, 0]= B[i, 1] for each i
- Endfor
However, this doesn’t left enough information to get back the information about alignment.
In the previous problem, we can define f(i, j) to be shortest path from (0,0) to (i, j), we define g(i, j) to be the shortest path from (i,j) to (m,n).
Analogously, we have
$$g(i,j)=\min[\alpha_{x_{i+1}y_{j+1}} +g(i+1,j+1),\delta + g(i,j+1),\delta+g(i+1,j)]$$
Therefore, the length of the shortest corner-to-corner path in $G_{XY}$ that passes through (i, j) is f(i, j) + g(i, j).
Claim
Let k be any number in {0,…,n}, and let q be an index that minimizes the quantity f (q, k) + g(q, k). Then there is a corner-to-corner path of minimum length that passes through the node (q, k).
Proof
For k $\in$ {0, n}, the shortest path must go through some node p in kth column. $$l^* = f(p,k) + g(p,k)$$
Also assume that q in the node minize in this column $$f(p,k) + g(p,k) \geq l^* = f(q,k) + g(q,k)$$
So we have $$l^* \geq f(q,k) + g(q,k)$$
But since $l^*$ is the minimum, we also have
$$l^* \leq f(q,k) + g(q,k)$$
Therefore, we have
$$l^* = f(q,k) + g(q,k)$$
Then this path can use at most O(m + n) space.
Algorithm
Divide-and-Conquer-Alignment(X ,Y )
- Let m be the number of symbols in X
- Let n be the number of symbols in Y
- If m≤2 or n≤2 then
- Compute optimal alignment using Alignment(X,Y)
- Call Space-Efficient-Alignment(X,Y[1:n/2])
- Call Backward-Space-Efficient-Alignment(X,Y[n/2+1:n])
- Let q be the index minimizing f(q,n/2)+g(q,n/2)
- Add (q, n/2) to global list P
- Divide-and-Conquer-Alignment(X[1 : q],Y[1 : n/2])
- Divide-and-Conquer-Alignment(X[q + 1 : n],Y[n/2 + 1 : n])
- Return P
Analysis
Space is clearly O(m+n).
Running time is
\begin{align} T(m, n) &\leq cmn + T(q, n/2) + T(m − q, n/2) \newline T(m,2) &\leq cm \newline T(2, n) &\leq cn \end{align}
Assuming m = n, we got
\begin{align} T(n) &\leq 2T(n/2) + cn2 \newline T(n) &= O(n^2) \end{align}
Back to original problem, now assume that T(m, n) = kmn
\begin{align} T(m, n) &\leq cmn + T(q, n/2) + T(m − q, n/2) \newline &\leq cmn + kqn/2 + k(m − q)n/2 \newline &= cmn + kqn/2 + kmn/2 − kqn/2 \newline &= (c + k/2)mn \end{align}
So we can infer that k = 2c should work.
- Algorithm Design by Jon Kleinber, Eva Tardos [return]


|
SideCar
|
Resizable array of Vertex/Color pairs, interleaved in hopes of getting the best performance out of glVertexPointer and glColorPointer operations. More...
#include </Users/howes/src/sidecar/GUI/VertexColorArray.h>
Public Member Functions | |
| VertexColorArray () | |
| Constructor. More... | |
| bool | empty () const |
| void | clear () |
| void | draw (int type) const |
| Invoke glDrawArrays with the given primitive type. More... | |
| size_t | size () const |
| Number of Vertex/Color pairs present in the array. More... | |
| void | checkCapacity (size_t request) |
| Check if the given request can be handled by the current capacity of the array. More... | |
| void | push_back (const Vertex &vertex) |
| Append a new VertexColor object with the given values. More... | |
| void | push_back (const Vertex &vertex, const Color &color) |
| Append a new VertexColor object with the given values. More... | |
| VertexColor & | operator[] (size_t index) |
Static Public Member Functions | |
| static Logger::Log & | Log () |
| Log device to use for VertexColorArray messages. More... | |
Resizable array of Vertex/Color pairs, interleaved in hopes of getting the best performance out of glVertexPointer and glColorPointer operations.
Definition at line 31 of file VertexColorArray.h.
| VertexColorArray::VertexColorArray | ( | ) |
Constructor.
| capacity | initial capacity for the vector. |
Definition at line 14 of file VertexColorArray.cc.
| void VertexColorArray::checkCapacity | ( | size_t | request | ) |
Check if the given request can be handled by the current capacity of the array.
If expansion is perfomed, this will invoke glVertexPointer and glColorPointer to use the new pointer values. NOTE: because of this side-effect, this method must be called inside a valid OpenGL context.
| request | number of VertexColor objects to store |
Definition at line 29 of file VertexColorArray.cc.
References Log(), LOGDEBUG, and LOGINFO.
Referenced by SideCar::GUI::Spectrum::SpectrographWidget::SpectrographWidget().
| void VertexColorArray::draw | ( | int | type | ) | const |
Invoke glDrawArrays with the given primitive type.
| type | the primitive to draw |
Definition at line 63 of file VertexColorArray.cc.
References Log().
Referenced by SideCar::GUI::PPIDisplay::PPIWidget::initializeContext(), SideCar::GUI::BScope::PPIWidget::PPIWidget(), SideCar::GUI::TargetPlotImaging::render(), SideCar::GUI::OffscreenBuffer::renderPoints(), and SideCar::GUI::Spectrum::SpectrographWidget::SpectrographWidget().
|
static |
Log device to use for VertexColorArray messages.
Definition at line 7 of file VertexColorArray.cc.
References Logger::Log::Find().
Referenced by checkCapacity(), draw(), and VertexColorArray().
|
inline |
Append a new VertexColor object with the given values.
Definition at line 77 of file VertexColorArray.h.
Referenced by SideCar::GUI::PPIDisplay::PPIWidget::initializeContext(), SideCar::GUI::BScope::PPIWidget::PPIWidget(), SideCar::GUI::TargetPlotImaging::render(), and SideCar::GUI::Spectrum::SpectrographWidget::SpectrographWidget().
|
inline |
Append a new VertexColor object with the given values.
Definition at line 86 of file VertexColorArray.h.
|
inline |
Number of Vertex/Color pairs present in the array.
Definition at line 61 of file VertexColorArray.h.
Referenced by SideCar::GUI::TargetPlotImaging::render().


Development Team
Michael L. Blinov
- Original author.
- Testing and development of new ideas.
- Developed interface to Virtual Cell.
James R. Faeder
- Primary BioNetGen developer since version 1.0.
- Testing and development of new ideas.
- Code maintainer.
- Current project co-PI.
William S. Hlavacek
- Driving force in the development.
- Testing and development of new ideas.
- Current project PI.
Byron Goldstein
- Pioneered concept of signaling models based on multivalent interactions.
- Original project PI.
Justin Hogg
- Primary developer of compartmental extension to BNGL.
- Revamped symmetry handling in patterns.
- Developer of the Hybrid particle-population model generator.
Michael Sneddon
- Primary developer of NFsim code, a particle-based Gillespie simulator that takes BNG models as input.
Leonard Harris
- Developer of the partitioned-leaping algorithm, a tau-leaping derivative implemented in BioNetGen 2.2.0 (see Partitioned leaping: A tau-leaping variant).
- Author of paper describing compartmental extension to BNGL.
- BioNetGen social media maven.
Ilya Korsunsky
- Initial implementation of the code for supporting functional rate laws.
Jeremy Kozdon
- Code for use of sparse Jacobian in CVODE calls, which greatly accelerates ODE integration for large networks (sparse=>1 option).
Nathan Lemons
- HNauty code for canonical labeling of hierarchical graphs, which is (optionally) used in network generation,.
Matthew Fricke
- Primary author of RuleBuilder.
Leigh Fanning
- Contributor to RuleBuilder development.
- Developed RuleBuilder help system.
Robert Seletsky
- Testing of BioNetGen and RuleBuilder.
Sarah Faeder
- Contributor to PhiBPlot.
- Testing and bug fixes for RuleBuilder.
Nikolay Borisov
- Primary developer of Macro module.
- Testing of BioNetGen.
Mikhail Kravchenko
- Implementing macro code.
- Streamlining of BioNetGen interface.
Alexander S. Chistopolsky
- Developer of macro algorithm.


statsmodels.sandbox.sysreg.SUR¶
-
class
statsmodels.sandbox.sysreg.
SUR
(sys, sigma=None, dfk=None)[source]¶ Seemingly Unrelated Regression
Parameters: - sys (list) – [endog1, exog1, endog2, exog2,…] It will be of length 2 x M, where M is the number of equations endog = exog.
- sigma (array-like) – M x M array where sigma[i,j] is the covariance between equation i and j
- dfk (None, 'dfk1', or 'dfk2') – Default is None. Correction for the degrees of freedom should be specified for small samples. See the notes for more information.
-
cholsigmainv
¶ array – The transpose of the Cholesky decomposition of pinv_wexog
-
df_model
¶ array – Model degrees of freedom of each equation. p_{m} - 1 where p is the number of regressors for each equation m and one is subtracted for the constant.
-
df_resid
¶ array – Residual degrees of freedom of each equation. Number of observations less the number of parameters.
-
endog
¶ array – The LHS variables for each equation in the system. It is a M x nobs array where M is the number of equations.
-
exog
¶ array – The RHS variable for each equation in the system. It is a nobs x sum(p_{m}) array. Which is just each RHS array stacked next to each other in columns.
-
history
¶ dict – Contains the history of fitting the model. Probably not of interest if the model is fit with igls = False.
-
iterations
¶ int – The number of iterations until convergence if the model is fit iteratively.
-
nobs
¶ float – The number of observations of the equations.
-
normalized_cov_params
¶ array – sum(p_{m}) x sum(p_{m}) array \(\left[X^{T}\left(\Sigma^{-1}\otimes\boldsymbol{I}\right)X\right]^{-1}\)
-
pinv_wexog
¶ array – The pseudo-inverse of the wexog
-
sigma
¶ array – M x M covariance matrix of the cross-equation disturbances. See notes.
-
sp_exog
¶ CSR sparse matrix – Contains a block diagonal sparse matrix of the design so that exog1 … exogM are on the diagonal.
-
wendog
¶ array – M * nobs x 1 array of the endogenous variables whitened by cholsigmainv and stacked into a single column.
-
wexog
¶ array – M*nobs x sum(p_{m}) array of the whitened exogenous variables.
Notes
All individual equations are assumed to be well-behaved, homoeskedastic iid errors. This is basically an extension of GLS, using sparse matrices.
\[\begin{split}\Sigma=\left[\begin{array}{cccc} \sigma_{11} & \sigma_{12} & \cdots & \sigma_{1M}\\ \sigma_{21} & \sigma_{22} & \cdots & \sigma_{2M}\\ \vdots & \vdots & \ddots & \vdots\\ \sigma_{M1} & \sigma_{M2} & \cdots & \sigma_{MM}\end{array}\right]\end{split}\]References
Zellner (1962), Greene (2003)
Methods
fit
([igls, tol, maxiter])igls : bool Iterate until estimates converge if sigma is None instead of two-step GLS, which is the default is sigma is None. initialize
()predict
(design)whiten
(X)SUR whiten method.


Green Photography
I care
The natural world is an incredible wonder that inspires us all. It underpins our economy, our society, indeed our very existence. Our forests, rivers, oceans and soils provide us with the food we eat, the air we breathe, the water we irrigate our crops with. Unfortunately, most people have forgotten about the beauty of it and that's very sad since we all depend on it. Human have become self that they dont see the damage they cause but wishes to progress to the moon. Someone needs to remind them that, some things will be hard to find elsewhere (moon) they should take care of what they have first. I choose to be that person. I choose to be an ambassador of nature Am Rodger Philip a photographer and a web designer by profession.
Favorite songs
These songs remind us, to be kind on each other and to the nature itself.
For it is our nature to help and thrive through one another but when we defy that alot more awful things happens. when we fail to take care of nature, it fails and we fall.


Head on over to our meetup group to find out when our next event is. See you there!
We’re looking for people to share their stories about front-end development and related topics. We welcome first time speakers, and people who are just getting started on their journey in front-end development. Read more on our Call For Speakers.
You can also join our mailing list where we announce meetups, workshops and write about interesting front-end things.
We occasionally tweet from @CTFEDs. Come and say hi!


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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Copyright © 2014.Company name All rights reserved.模板大全
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Welcome to the documentation for the Online Linguistic Database version 1.0.
This section describes what the Online Linguistic Database does and how to get and install it.
The architecture section provides details about the design of the OLD.
This section contains the API documentation automatically extracted from the source code.
If you can’t find the information you’re looking for, have a look at the index or try to find it using the search function:


Vancouver is the first place in Canada that I would like to visit. The sea-side city looks beautiful in my opinion. My uncle has recently moved to a city near Vancouver and I would really like to visit this area from hearing about it from him. There region of British Columbia where he lives has many agricultural areas that I would like to visit.
Christchurch is the largest city in the South Island of New Zealand. Christchurch is another city with agricultural surroundings and there are many attactions to this city for me. Some of the attractions I would like to visit are The Christchurch Botanic Gardens, The Canterbury Museum, Christchurch Gondola and Sumner Beach.
There is so many cities I wish to visit in America but here are just a few...
Since I was very young I always dreamed of going to New York this unfortunaltelty hasn't come true yet but I am hoping it will become a reality soon. I love to shop and where better to go on a shopping spree than the shopping capital of the world. Of course there is so many more things I would like to do over there than just shop I would love to go sight seeing and visit places such as the Empire State Building and Central Park. I would also love to see a Broadway Show.
Once I have visited New York the next American city on my list would have to be Chicago. If I could pick one city in the world to work in I think it would have to be Chicago After college I would love to travel and Chicago is one place I would like to spend some time sightseeing here and also doing some shopping


The American Statistical Association
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|
Iris Raytracing
Raytracing Library
|
#include <Camera.h>
Public Member Functions | |
| Camera () | |
| Camera (float fov, float aspect, float near, float far) | |
| void | update () override |
| Vector3 | on_near (float x, float y) const |
| void | look_at (float x, float y, float z) |
| void | look_at (const Vector3 &target) |
| bool | is_free () const |
| void | free () |
| float | fov () const |
| float | aspect () const |
| float | near () const |
| float | far () const |
| const Vector3 & | position () const |
| const Vector3 & | forward () const |
| const Vector3 & | up () const |
| const Vector3 & | right () const |
| const Vector3 & | target () const |
| const Matrix4 & | view_matrix () const |
| const Matrix4 & | view_matrix_inverse () const |
| const Matrix4 & | projection_matrix () const |
| const Matrix4 & | projection_matrix_inverse () const |
| Public Member Functions inherited from iris::Object3D | |
| Object3D () | |
| Object3D (const Geometry &geometry, const Texture &texture) | |
| bool | is_empty () const |
| void | raycast (Raycast &result) const |
| bool | has_child (Object3D &target) const |
| bool | has_descendant (Object3D &target) const |
| bool | add_child (Object3D &target) |
| bool | remove_child (Object3D &target) |
| bool | has_parent () const |
| Object3D & | parent () |
| const Object3D & | parent () const |
| size_t | child_count () const |
| Object3D & | child (size_t index) |
| const Object3D & | child (size_t index) const |
| Vector3 & | translation () |
| const Vector3 & | translation () const |
| Vector3 & | scale () |
| const Vector3 & | scale () const |
| Vector3 & | rotation () |
| const Vector3 & | rotation () const |
| const Matrix4 & | matrix () const |
| const Matrix4 & | matrix_inverse () const |
| const Matrix4 & | world_matrix () const |
| const Matrix4 & | world_matrix_inverse () const |
| const Vector3 & | world_translation () const |
| const Matrix4 & | world_rotation_matrix () const |
| const Matrix4 & | world_rotation_matrix_inverse () const |
| const Geometry & | geometry () const |
| const Texture & | texture () const |
| bool | operator== (const Object3D &other) const |
| bool | operator!= (const Object3D &other) const |
The camera is a special object which from which rays originate.
| Camera::Camera | ( | ) |
Creates default camera.
| Camera::Camera | ( | float | fov, |
| float | aspect, | ||
| float | near, | ||
| float | far | ||
| ) |
Creates a camera with given parameters.
| fov | Field of view angle. |
| aspect | View aspect-ratio. |
| near | Near view plane. |
| far | Far view plane. |
| float Camera::aspect | ( | ) | const |
Gets view aspect ratio.
| float Camera::far | ( | ) | const |
Gets far view plane.
| const Vector3 & Camera::forward | ( | ) | const |
Gets forward direction.
| float Camera::fov | ( | ) | const |
Gets field of view.
| void Camera::free | ( | ) |
Lets the camera's transform control the view direction.
| bool Camera::is_free | ( | ) | const |
Checks if the camera has no look-at target assigned.
| void Camera::look_at | ( | float | x, |
| float | y, | ||
| float | z | ||
| ) |
Directs camera at target position.
| void Camera::look_at | ( | const Vector3 & | target | ) |
Directs camera at target position.
| float Camera::near | ( | ) | const |
Gets near view plane.
| Vector3 Camera::on_near | ( | float | x, |
| float | y | ||
| ) | const |
Transform pixel from normalized window space to camera space.
| const Vector3 & Camera::position | ( | ) | const |
Gets position.
| const Matrix4 & Camera::projection_matrix | ( | ) | const |
Gets projection matrix.
| const Matrix4 & Camera::projection_matrix_inverse | ( | ) | const |
Gets inverse projection matrix.
| const Vector3 & Camera::right | ( | ) | const |
Gets right direction.
| const Vector3 & Camera::target | ( | ) | const |
Gets look-at target.
| const Vector3 & Camera::up | ( | ) | const |
Gets up direction.
|
overridevirtual |
Updates inner transformation of this and all children.
Reimplemented from iris::Object3D.
| const Matrix4 & Camera::view_matrix | ( | ) | const |
Gets view matrix.
| const Matrix4 & Camera::view_matrix_inverse | ( | ) | const |
Gets inverse view matrix.


Genesis 31:33
And Laban went into Jacob's tent, and into Leah's tent, and into the two maidservants' tents; but he found them not. Then went he out of Leah's tent, and entered into Rachel's tent.


Issue 6435:
Create FBTest that covers DOM panel search
Steps to reproduce
- Open Firebug, select the DOM panel
- Make sure 'Show DOM Properties' option is off.
- Use the search box to search in the panel
- There should be 4 occurences of 'test' (case insensitive)
- There should be 2 occurences of 'Test' (case sensitive)
- There should be 2 occurences of '21' (case sensitive)


Frequently Asked Questions¶
Why do I get Illegal instruction error?¶
The short answer is that the binary of Owl or the program using Owl have been compiled on one platform and are run on another.
If you use opam or dune to install or build your code you can use OWL_CFLAGS
to override the -march
-option that is used to build the binary, by default
it’s set to native
, but if you want to maximize compatibility you should set
it to x86-64
:
env OWL_CFLAGS="-g -O3 -Ofast -march=x86-64 -mfpmath=sse -funroll-loops -ffast-math -DSFMT_MEXP=19937 -msse2 -fno-strict-aliasing -Wno-tautological-constant-out-of-range-compare" opam install owl
If you use esy you can inject environment variables into the sandboxed build
environment using the resolutions
field in you package.json:
{
"resolutions": {
"@opam/owl": {
"source": "owlbarn/owl:owl.opam#7f6ae99",
"override": {
"buildEnv": {
"OWL_CFLAGS": "-g -O3 -Ofast -march=x86-64 -mfpmath=sse -funroll-loops -ffast-math -DSFMT_MEXP=19937 -msse2 -fno-strict-aliasing -Wno-tautological-constant-out-of-range-compare"
}
}
}
}
}
The somewhat longer answer is that some parts of Owl are written in C. Since
Owl is trying to be as performant as possible it is compiled with the CFLAGS
option -march=native
. This tells GCC (the c compiler used) to use all
available instruction-sets the machine’s current CPU supports aka make the
fastes binary possible. The downside of this is that the compiled binary may not
run on older CPUs.


DAIMONDS Dear, My name is Mr Johnson Tijan kalute, a young man from Serrialeon in west Africa. My sole purpose of contacting you is for you to assist me in selling in your country or else where of my rough (uncutted) diamonds which weighs 14,220 carats,from (3-45 carats),(3kg gross)on the scale,("H"VS-1quality), all rough and worths). And enough quantity of gold dust, I am presently living in Dakar senegal.Contact me through this mail above or the altanative email<EMAIL_ADDRESS>Wish to hear from you soon. Bye and God bless. Yours truly Johnson Tijan Kalute.


The South Carolina Drought Response Program consists of legislation, regulations, and procedures that establish recommended and required response at moderate, severe, and extreme drought alert phases. The South Carolina Drought Response Act and the supporting regulations formally establish and describe the responsibilities of the South Carolina Drought Response Committee (DRC), the major drought decision-making entity in the State. The DRC is composed of statewide and local members, and state agency members include:
The Drought Response Act requires all public water suppliers to develop and implement local drought plans and ordinances. The Drought Regulations recognize that local governments have primary responsibility for alleviating drought impacts and encourage cooperation among neighboring water systems. DNR created a sample drought plan and ordinance for local governments and water systems to use in developing their own documents.
The South Carolina Drought Response Plan is located in Appendix 10 of the State’s Emergency Operations Plan (EOP). The Drought Response Plan describes actions when drought conditions have reached a level of severity beyond the scope of the DRC and local communities. The South Carolina Emergency Management Division (EMD) maintains the EOP and leads multi-agency response to hazard events. Upon an activation of the EOP, EMD and the State Emergency Response Team (SERT) assemble in the South Carolina Emergency Operations Center to coordinate the State’s response.
The SC Drought and Water Shortage Tabletop Exercise took place on September 27, 2017, at the South Carolina Emergency Operations Center in West Columbia, SC. The exercise gathered 80 participants, representing federal and state agencies, public water suppliers, county and municipal governments, industry, consulting companies, and nonprofit organizations. The purpose of the exercise was to review plans and procedures that govern state-, basin-, and local-level responses to drought and water shortages.


vehicles package¶
Overview¶
Vehicles package provides with classes and methods to create vehicles of different types, and a base Vehicle class that contains all the basic functionalities of any vehicle. We adopted a factory design pattern for the creation of a vehicle wherein, the creation of every Vehicle is forced through a common factory class VehicleFactory which has a build_vehicle method, which takes the vehicle config such as vehicle type, sensors, engine and instantiates the corresponding Vehicle object, and place_on_map which takes a start node and end node of type CATS.maps.Node and places it on the map.
We implemented different types of vehicles which inherit the base Vehicle class. As of now, we have Car, Truck, Bus and Intelligent Car. The different types of vehicles differ in their physical attributes like length, width, engine, sensors, decision modules, etc. IntelligentCar is the utopian smart car with complete autonomy, V2X communication, adherence to traffic rules etc. Developing the decision module of this type of vehicle is the main goal of this software.
vehicles.vehicle module¶
-
class
core.lib.vehicles.vehicle.
Vehicle
(_id, name, physics, driver, adas, sensor_suite, _type)¶ Contains the basic functionalities of most vehicles. It provides methods to create vehicles of different types.
-
_ID
¶ int – unique id of the vehicle
-
_name
¶ str – name of the vehicle if any
-
_physics
¶ object – physics object that simulates a two wheel or four wheel drive
-
_sensor_suite
¶ dict – dict of various sensors
-
_adas
¶ object – instantiation of ADAS class
-
_type
¶ str – type of the vehicle
-
_v2x
¶ object – communication module
-
_x
¶ float – coordinate
-
_y
¶ float – coordinate
-
_length
¶ float – length
-
_width
¶ float – width
-
_color
¶ str – color
-
_perceived_attr
¶ dict – sensor readings
-
_localized_attr
¶ dict – inferences from the sensor readings
-
_traffic_graph
¶ object – maps class
-
_trip_start_time
¶ int – start time
-
_current_node
¶ object – present node
-
_next_node
¶ object – next node
-
_current road
object – current road
-
calculate_route
(source, destination, weight='time')¶ Calculates a shortest route with preference on certain aspect.
Parameters: - source (int) – starting point node id
- destination (int) – ending point node id
- weight (str) – parameters based on which the cost is calculated
Returns: a list of the node ids along the shortest path from the source to the destination
Return type: list
-
driving_decision
(reroute_flag=True)¶ This is the intelligence module which decides what to do based on the perceived and localized attributes. Decisions include lane change, cruise control, overtake, etc.
Parameters: reroute_flag (Optional[bool]) – a flag which determines if the vehicle has to be rerouted Returns: (steering_angle, gas, brake) Return type: tuple
-
get_distance_from_last_segment
()¶ Returns: the distance from the vehicle to the last segment Return type: float
-
get_distance_from_next_segment
()¶ Returns: the distance from the vehicle to the next segment Return type: float
-
get_distance_from_next_subnode
()¶ Calculates the distance between the vehicle position and the next subnode.
-
get_distance_from_road_end
()¶ Calculates the distance between the vehicle position and the end of the road.
-
get_next_turn_direction
()¶ Returns: direction for the next turn Return type: str
-
localize
()¶ Fuses sensor readings and data from communication module to localize the vehicle, e.g. distance from front vehicle, distance from lane end etc.
-
move
(steering_angle, gas, brake)¶ Uses the control signal and passes to the physics/engine module to update the coordinates of the vehicle
Parameters: - steering_angle (float) – in radians
- gas (float) – acceleration to give. Normalized in 0 to 1
- brake (float) – brake to give. Normalized in 0 to 1
-
perceive
()¶ Perceives the environment through the available sensors such as GPS, speed etc.
-
place_on_map
(trip_start_node, trip_destination_node, traffic_graph)¶ It assigns a trip start node and destination node. Also it places the vehicle on the map.
Parameters: - trip_start_node (object) – start node object
- trip_destination_node (object) – destination node object
- traffic_graph (object) – Traffic Graph that contains all the nodes and roads
-
step
()¶ Combines all the functionalities of a vehicle to a set of actions while the vehicle is moving.
-
update_road_string
()¶ Updates the road string attribute of a vehicle to the current road.
-
vehicles.vehicle_factory module¶
-
class
core.lib.vehicles.vehicle_factory.
VehicleFactory
¶ A factory design pattern for the creation of a vehicle wherein, the creation of every Vehicle is forced through this class.
-
static
build_vehicle
(_id, _type, config)¶ Takes the vehicle config such as vehicle type, sensors, engine and instantiates the corresponding Vehicle object.
Parameters: - _id (int) – unique id of the vehicle
- _type (str) – type of the vehicle
- config (dict) – information about the vehicles
-
static
place_vehicle
(vehicle, start_node, end_node, map_2d)¶ Takes a start node and end node of type CATS.maps.Node and places it on the map (adds to CATS.maps.TrafficGraph). It is analogous to starting a trip, by setting the source and destination.
Parameters: - vehicle (object) – vehicle object that has to be placed on the map
- start_node (object) – start node object
- end_node (object) – end node object
- map_2d (object) – TrafficGraph object on which the vehicle is placed
-
static


--- layout: minimal title: "About me" permalink: /about/index.html description: "Some description about Lorem Ipsum..." ---
Hello, World! I'm Chanjoo Lee from South Korea!
Nice to see ya'll XD


Eye of Argos:
Go to the stronghold of Daimon the White-Eyed, find the altar used to make sacrifices and place the summoning orb upon it.
One more thing!
Occasionally, Daimon hides the altar. If this happens, wait until the altar reappears before taking action. Apply all your courage and faith to destroying Daimon!


Let's just say two was in S and in T, two would still be in here.
My requirement here is that it's in both.
Everything in S that's not in T, that's the same thing here, this is everything in S that's also in T complement or that's also part of the set of things that are not in T.


Diff.blobToBuffer Async
Diff.blobToBuffer(old_blob, old_as_path, buffer, buffer_len, buffer_as_path, options, file_cb, binary_cb, hunk_cb, line_cb, payload).then(function(result) {
// Use result
});
| Parameters |
Type |
|
| old_blob |
Blob |
Blob for old side of diff, or NULL for empty blob |
| old_as_path |
String |
Treat old blob as if it had this filename; can be NULL |
| buffer |
String |
Raw data for new side of diff, or NULL for empty |
| buffer_len |
Number |
Length of raw data for new side of diff |
| buffer_as_path |
String |
Treat buffer as if it had this filename; can be NULL |
| options |
DiffOptions |
Options for diff, or NULL for default options |
| file_cb |
DiffFileCb |
Callback for "file"; made once if there is a diff; can be NULL |
| binary_cb |
DiffBinaryCb |
Callback for binary files; can be NULL |
| hunk_cb |
DiffHunkCb |
Callback for each hunk in diff; can be NULL |
| line_cb |
DiffLineCb |
Callback for each line in diff; can be NULL |
| payload |
Void |
Payload passed to each callback function |
| Returns |
|
| Number |
0 on success, non-zero callback return value, or error code |
Diff.indexToWorkdir Async
Diff.indexToWorkdir(repo, index, opts).then(function(diff) {
// Use diff
});
| Parameters |
Type |
|
| repo |
Repository |
The repository. |
| index |
Index |
The index to diff from; repo index used if NULL. |
| opts |
DiffOptions |
Structure with options to influence diff or NULL for defaults. |
Diff.treeToIndex Async
Diff.treeToIndex(repo, old_tree, index, opts).then(function(diff) {
// Use diff
});
| Parameters |
Type |
|
| repo |
Repository |
The repository containing the tree and index. |
| old_tree |
Tree |
A git_tree object to diff from, or NULL for empty tree. |
| index |
Index |
The index to diff with; repo index used if NULL. |
| opts |
DiffOptions |
Structure with options to influence diff or NULL for defaults. |
Diff.treeToTree Async
Diff.treeToTree(repo, old_tree, new_tree, opts).then(function(diff) {
// Use diff
});
| Parameters |
Type |
|
| repo |
Repository |
The repository containing the trees. |
| old_tree |
Tree |
A git_tree object to diff from, or NULL for empty tree. |
| new_tree |
Tree |
A git_tree object to diff to, or NULL for empty tree. |
| opts |
DiffOptions |
Structure with options to influence diff or NULL for defaults. |
Diff.treeToWorkdir Async
Diff.treeToWorkdir(repo, old_tree, opts).then(function(diff) {
// Use diff
});
| Parameters |
Type |
|
| repo |
Repository |
The repository containing the tree. |
| old_tree |
Tree |
A git_tree object to diff from, or NULL for empty tree. |
| opts |
DiffOptions |
Structure with options to influence diff or NULL for defaults. |
Diff.treeToWorkdirWithIndex Async
Diff.treeToWorkdirWithIndex(repo, old_tree, opts).then(function(diff) {
// Use diff
});
| Parameters |
Type |
|
| repo |
Repository |
The repository containing the tree. |
| old_tree |
Tree |
A git_tree object to diff from, or NULL for empty tree. |
| opts |
DiffOptions |
Structure with options to influence diff or NULL for defaults. |
Diff#findSimilar Async
diff.findSimilar(options).then(function(result) {
// Use result
});
| Returns |
|
| Number |
0 on success, -1 on failure |
Diff#getDelta Sync
var diffDelta = diff.getDelta(idx);
| Parameters |
Type |
| idx |
Number |
Diff#getPerfdata Async
diff.getPerfdata().then(function(diffPerfdata) {
// Use diffPerfdata
});
| Returns |
|
| DiffPerfdata |
Structure to be filled with diff performance data |
Diff#numDeltas Sync
var result = diff.numDeltas();
| Returns |
|
| Number |
Count of number of deltas in the list |
Diff#patches Async
diff.patches().then(function(arrayConvenientPatch) {
// Use arrayConvenientPatch
});
Retrieve patches in this difflist
| Returns |
|
| Array<ConvenientPatch> |
a promise that resolves to an array of ConvenientPatches |
Diff.DELTA ENUM
| Flag |
Value |
| Diff.DELTA.UNMODIFIED |
0 |
| Diff.DELTA.ADDED |
1 |
| Diff.DELTA.DELETED |
2 |
| Diff.DELTA.MODIFIED |
3 |
| Diff.DELTA.RENAMED |
4 |
| Diff.DELTA.COPIED |
5 |
| Diff.DELTA.IGNORED |
6 |
| Diff.DELTA.UNTRACKED |
7 |
| Diff.DELTA.TYPECHANGE |
8 |
| Diff.DELTA.UNREADABLE |
9 |
| Diff.DELTA.CONFLICTED |
10 |
Diff.FIND ENUM
| Flag |
Value |
| Diff.FIND.BY_CONFIG |
0 |
| Diff.FIND.RENAMES |
1 |
| Diff.FIND.RENAMES_FROM_REWRITES |
2 |
| Diff.FIND.COPIES |
4 |
| Diff.FIND.COPIES_FROM_UNMODIFIED |
8 |
| Diff.FIND.REWRITES |
16 |
| Diff.FIND.BREAK_REWRITES |
32 |
| Diff.FIND.AND_BREAK_REWRITES |
48 |
| Diff.FIND.FOR_UNTRACKED |
64 |
| Diff.FIND.ALL |
255 |
| Diff.FIND.IGNORE_LEADING_WHITESPACE |
0 |
| Diff.FIND.IGNORE_WHITESPACE |
4096 |
| Diff.FIND.DONT_IGNORE_WHITESPACE |
8192 |
| Diff.FIND.EXACT_MATCH_ONLY |
16384 |
| Diff.FIND.BREAK_REWRITES_FOR_RENAMES_ONLY |
32768 |
| Diff.FIND.REMOVE_UNMODIFIED |
65536 |
Diff.FLAG ENUM
| Flag |
Value |
| Diff.FLAG.BINARY |
1 |
| Diff.FLAG.NOT_BINARY |
2 |
| Diff.FLAG.VALID_ID |
4 |
| Diff.FLAG.EXISTS |
8 |
Diff.FORMAT ENUM
| Flag |
Value |
| Diff.FORMAT.PATCH |
1 |
| Diff.FORMAT.PATCH_HEADER |
2 |
| Diff.FORMAT.RAW |
3 |
| Diff.FORMAT.NAME_ONLY |
4 |
| Diff.FORMAT.NAME_STATUS |
5 |
Diff.FORMAT_EMAIL_FLAGS ENUM
| Flag |
Value |
| Diff.FORMAT_EMAIL_FLAGS.FORMAT_EMAIL_NONE |
0 |
| Diff.FORMAT_EMAIL_FLAGS.FORMAT_EMAIL_EXCLUDE_SUBJECT_PATCH_MARKER |
1 |
Diff.LINE ENUM
| Flag |
Value |
| Diff.LINE.CONTEXT |
32 |
| Diff.LINE.ADDITION |
43 |
| Diff.LINE.DELETION |
45 |
| Diff.LINE.CONTEXT_EOFNL |
61 |
| Diff.LINE.ADD_EOFNL |
62 |
| Diff.LINE.DEL_EOFNL |
60 |
| Diff.LINE.FILE_HDR |
70 |
| Diff.LINE.HUNK_HDR |
72 |
| Diff.LINE.BINARY |
66 |
Diff.OPTION ENUM
| Flag |
Value |
| Diff.OPTION.NORMAL |
0 |
| Diff.OPTION.REVERSE |
1 |
| Diff.OPTION.INCLUDE_IGNORED |
2 |
| Diff.OPTION.RECURSE_IGNORED_DIRS |
4 |
| Diff.OPTION.INCLUDE_UNTRACKED |
8 |
| Diff.OPTION.RECURSE_UNTRACKED_DIRS |
16 |
| Diff.OPTION.INCLUDE_UNMODIFIED |
32 |
| Diff.OPTION.INCLUDE_TYPECHANGE |
64 |
| Diff.OPTION.INCLUDE_TYPECHANGE_TREES |
128 |
| Diff.OPTION.IGNORE_FILEMODE |
256 |
| Diff.OPTION.IGNORE_SUBMODULES |
512 |
| Diff.OPTION.IGNORE_CASE |
1024 |
| Diff.OPTION.INCLUDE_CASECHANGE |
2048 |
| Diff.OPTION.DISABLE_PATHSPEC_MATCH |
4096 |
| Diff.OPTION.SKIP_BINARY_CHECK |
8192 |
| Diff.OPTION.ENABLE_FAST_UNTRACKED_DIRS |
16384 |
| Diff.OPTION.UPDATE_INDEX |
32768 |
| Diff.OPTION.INCLUDE_UNREADABLE |
65536 |
| Diff.OPTION.INCLUDE_UNREADABLE_AS_UNTRACKED |
131072 |
| Diff.OPTION.FORCE_TEXT |
1048576 |
| Diff.OPTION.FORCE_BINARY |
2097152 |
| Diff.OPTION.IGNORE_WHITESPACE |
4194304 |
| Diff.OPTION.IGNORE_WHITESPACE_CHANGE |
8388608 |
| Diff.OPTION.IGNORE_WHITESPACE_EOL |
16777216 |
| Diff.OPTION.SHOW_UNTRACKED_CONTENT |
33554432 |
| Diff.OPTION.SHOW_UNMODIFIED |
67108864 |
| Diff.OPTION.PATIENCE |
268435456 |
| Diff.OPTION.MINIMAL |
536870912 |
| Diff.OPTION.SHOW_BINARY |
1073741824 |
Diff.STATS_FORMAT ENUM
| Flag |
Value |
| Diff.STATS_FORMAT.STATS_NONE |
0 |
| Diff.STATS_FORMAT.STATS_FULL |
1 |
| Diff.STATS_FORMAT.STATS_SHORT |
2 |
| Diff.STATS_FORMAT.STATS_NUMBER |
4 |
| Diff.STATS_FORMAT.STATS_INCLUDE_SUMMARY |
8 |


Modules | |
| Hugemem implementation for 8-bit AVR. | |
Defines | |
| #define | HUGEMEM_NULL 0 |
| Hugemem null pointer, similar to NULL, but works across different platforms. | |
Typedefs | |
| typedef uint32_t | hugemem_ptr_t |
| Type to use for pointers to huge memory. | |
Functions | |
| hugemem_ptr_t | hugemem_alloc (struct physmem_pool *pool, phys_size_t size, unsigned int align_order) |
| Allocate a region of huge memory. | |
| static uint_fast8_t | hugemem_read8 (const hugemem_ptr_t from) |
| Read 8-bit value stored at huge memory address from. | |
| uint_fast16_t | hugemem_read16 (const hugemem_ptr_t from) |
| Read 16-bit value stored at huge memory address from. | |
| uint_fast32_t | hugemem_read32 (const hugemem_ptr_t from) |
| Read 32-bit value stored at huge memory address from. | |
| static void | hugemem_write8 (hugemem_ptr_t to, uint_fast8_t val) |
| Write 8-bit value val to huge memory address to. | |
| void | hugemem_write16 (hugemem_ptr_t to, uint_fast16_t val) |
| Write 16-bit value val to huge memory address to. | |
| void | hugemem_write32 (hugemem_ptr_t to, uint_fast32_t val) |
| Write 32-bit value val to huge memory address to. | |
| void | hugemem_read_block (void *to, const hugemem_ptr_t from, size_t size) |
| Read size bytes from huge memory address from into buffer at address to. | |
| void | hugemem_write_block (hugemem_ptr_t to, const void *from, size_t size) |
| Write size bytes from buffer at address from to huge memory address to. |
Due to shortcomings of the GCC compiler for 8-bit AVR, custom functions are needed for access to data beyond the 64 kB boundary, i.e., addresses that are larger than 16-bit.
The definition of huge memory space can differ between architectures, so the implementation is architecture specific.
This module supplies functions for copying a number of bytes between huge and 64 kB data memory space, and is needed solely for code compatibility across compilers.
| #define HUGEMEM_NULL 0 |
Hugemem null pointer, similar to NULL, but works across different platforms.
Definition at line 66 of file hugemem.h.
Referenced by app_fonts_load(), hugemem_alloc(), and tank_loader().
| hugemem_ptr_t hugemem_alloc | ( | struct physmem_pool * | pool, | |
| phys_size_t | size, | |||
| unsigned int | align_order | |||
| ) |
Allocate a region of huge memory.
This function tries to allocate a block of huge memory from the given pool, at the highest possible address.
| pool | The huge memory pool to allocate from. | |
| size | The number of bytes to allocate. | |
| align_order | log2 of required alignment. |
Definition at line 55 of file hugemem.c.
References HUGEMEM_NULL, physmem_alloc(), and PHYSMEM_ALLOC_ERR.
| uint_fast16_t hugemem_read16 | ( | const hugemem_ptr_t | from | ) |
Read 16-bit value stored at huge memory address from.
Definition at line 44 of file arch_hugemem.c.
References CPU_REG.
| uint_fast32_t hugemem_read32 | ( | const hugemem_ptr_t | from | ) |
Read 32-bit value stored at huge memory address from.
Definition at line 62 of file arch_hugemem.c.
References CPU_REG.
| uint_fast8_t hugemem_read8 | ( | const hugemem_ptr_t | from | ) | [inline, static] |
Read 8-bit value stored at huge memory address from.
Definition at line 68 of file hugemem.h.
References CPU_REG.
Referenced by gfx_copy_hugemem_pixels_to_screen().
| void hugemem_read_block | ( | void * | to, | |
| const hugemem_ptr_t | from, | |||
| size_t | size | |||
| ) |
Read size bytes from huge memory address from into buffer at address to.
Definition at line 82 of file arch_hugemem.c.
References assert, and CPU_REG.
Referenced by app_files_load_worker(), app_fonts_load_worker(), and gfx_draw_char_hugemem().
| void hugemem_write16 | ( | hugemem_ptr_t | to, | |
| uint_fast16_t | val | |||
| ) |
Write 16-bit value val to huge memory address to.
Definition at line 104 of file arch_hugemem.c.
References CPU_REG.
| void hugemem_write32 | ( | hugemem_ptr_t | to, | |
| uint_fast32_t | val | |||
| ) |
Write 32-bit value val to huge memory address to.
Definition at line 118 of file arch_hugemem.c.
References CPU_REG.
| void hugemem_write8 | ( | hugemem_ptr_t | to, | |
| uint_fast8_t | val | |||
| ) | [inline, static] |
| void hugemem_write_block | ( | hugemem_ptr_t | to, | |
| const void * | from, | |||
| size_t | size | |||
| ) |
Write size bytes from buffer at address from to huge memory address to.
Definition at line 134 of file arch_hugemem.c.
References assert, and CPU_REG.
Referenced by load_to_hugemem_worker().


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After experimenting with Morning Glory extracts for sometime now, I finally made a batch this past weekend that was extremely pure and psychedelic. I started with the untreated Pearly Gates variety from an internet supplier and ground them with a coffee grinder. Not happy with the consistency of the grind, I've since purchased a burr grinder but haven't had the chance to try it yet. Anyway, I mixed the grind with Everclear (about 3 grams to 1 ounce ratio), sealed the container, and stored it in the refrigerator for what ended-up being several months. Not sure how the length of time may have affected the process, I was just waiting for the right time to trip :)
When that time came, I shook up the mixture for a few minutes and then strained it through a gold mesh coffee filter twice. The resulting morning glory liquor was very pure in that there was little to no seed residue remaining. I then measured out 2 ounces and mixed it with enough grapefruit juice to make it palitable.
Before I even finished the drink, within minutes, I was feeling quite 'electric'. The peak occurred a couple of hours later and included some amazing closed-eye, mind-morphing visuals. There was no significant nausia, only waves of bliss that kept me laughing most of the time. When my stomach did tighten-up a bit in the beginning, smoking pot was the perfect remedy.
The night's entertainment consisted of several songs from the George Harrison Tribute concert, the 1st Woodstock DVD, and then part of Saturday Night Live before I got tired and fell asleep about 5 hours after drinking the concoction. It was the first Morning Glory trip I've had that didn't make me feel sick in some way and I attribute that to the extraction process I used. Happy trails!
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.


Click to insert these dynamic elements. For example --guest-fist-name-- will mean that the name of the guest will appear.


Lebanon's Aoun says found Hariri hesitant about being PM
BEIRUT (Reuters) - Lebanese President Michel Aoun said on Tuesday he had found outgoing Prime Minister Saad al-Hariri hesitant about taking the job again and he backed a cabinet mixing technocrats and politicians.
“I met with Hariri and I found him hesitant between yes and no,” Aoun said in a televised interview, adding that he did not know if this was still the case.
Aoun said formal consultations with MPs over the nomination of the next prime minister could begin on Thursday or Friday but he was waiting for answers without which it may take a few days longer.
Hariri quit as prime minister of a coalition government on Oct. 29.


First attempt:
I took three hits from a small glass bong with no water. Felt an immediate effect. Laid on my back in the dark room, experiencing a VERY strange and powerful kinetic feeling. This was not comparable to anything I have experienced before. It felt like I was split all the way up through my left leg to about the chest, and then duplicated outwards, forming a star-like shape with my upper body as the center. At the same time, I had a closed-eye vision of this shape. At the same time, I was laughing hysterically for most of the duration of the trip and also sweating profusely.
 I totally lost track of earth-time, but at the same time maintained some kind of connection with the consensus reality. My guess is that the peak was about 5 minutes with a come-down period of 10 minutes.
Second attempt:
When I had returned to almost normal, I took another hit, felt the immediate effect, and with my eyes closed, I felt another strange sensation in my body: It felt like something with an unlimited gravitational pull had been put on my chest, thus falling through me and pulling me down through this hole in myself. The sensation of this was so real that I asked my sitters if they could see this happening. I had a closed-eye visual of the shape of this pull: If you take a soft piece of rubber and put a heavy object on it, you will get a cone-like curved shape. In this shape I saw some pulsating streams going downwards. Thus looking down into it, I saw a star-like form. I saw this form in a three-dimensional way floating in a dark space.
What's really interesting is that this time I felt the presense of an alien intelligence or consciousness. I tried to communicate with it in my thoughts, but I recieved no reply.
A few conclusive words:
I had two sitters present, and at a time they exchanged a few words and opened a door, much to my irritation. Those few noises were extremely annoying and distracting, so I recommend for any sitter to be totally quiet during the entire trip. I also recommend that you keep your eyes closed and the lights off. This model worked fine for me.
I definitely didn't find the trips and the kinetic sensations unpleasant, nor were they really nice; in a lack of better terms, I'll say it was wierd and interesting, and I'm sure I'll have another go at it. Next time I'll try chewing the fresh leaves instead. However, it didn't appeal to me in the same way as Psilocybin did. While the mushrooms were gentler and very revelatory and showed a lot of potential, I can't say I feel that there is a purpose to the Salvia experience in the same way. Maybe it's just a matter of getting to know it better.
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.


htmlPy is a really great tool to make an awesome web or stand alone application. htmlPy is a wrapper around the famous PySide QtWebKit module, which enables you to make full blown GUIs using HTML/JSS/CSS and Python. When I first came across htmlPy, the documentation wasn’t very clear to me so I had to stumble around a little bit to get things figured out, and thought it would be nice if I wrote a tutorial showing everyone how to get it up and running. The ultimate goal of this tutorial is to build a nice GUI with Python backend bindings to interface with our Raspberry Pi!
A few things I love about htmlPy are:
-
It can be used with any Python module or webframe work like Conda, Django, and Flask.
- It supports front end frameworks like Bootstrap and jQuery, so rapid prototyping is a breeze
- HTML/JSS/CSS are easy, intuitive languages to make a great GUI in no time
- It supports both Python 2 and 3
- Since it is built on the Qt framework, your app is completely functional across all platforms
In this post, I’m going to show you how to get htmlPy up and running on your machine and build a stand alone app using a single HTML and Python file. In another post, we’ll get Bootsrap up and running so that you can start making your apps look even better.
htmlPy Installation
You’ll need the following dependencies to get htmlPy up and running:
- Python 2 or 3 (I’ll be using 2.7.11)
- pip for Windows / Homebrew & pip for Mac OS X (if you don’t already have these on your machine, you should)
- PySide
On Mac OS X:
after that, install PySide:
and lastly, install htmlPy (you may need to sudo this):
On Windows:
Now that we have all of the dependencies installed, we can dive into making our first application.
Make a new folder where you want your project to be; I named mine ‘site’. htmlPy looks for an index.html
file to be in same directory as the Python script you will execute to run your app. Go ahead and make your index.html
file and place:
There are two types of applications that htmlPy can make: a standalone application, which we’ll be making here, and a web based application.
To make a standalone application, create a new Python file name main.py
and place it in the same directory as index.html
.
This code instantiates a new application called ‘app’, uses Jinja2 to render ‘index.html
’, and starts the app. If you don’t have Jinja2 installed, just type (you guessed it):
Now open your terminal and navigate to the directory where you have your project saving to and run main.py
And you’ll see…
That’s pretty cool right? You’ve successfully created your very first stand-alone Python app using nothing more than a couple of lines of code. Let’s add a button to our demo app.
By now you should see that whatever HTML you place in Index.html
will be placed in your app. In the next part of this tutorial, I’ll show you how we can install Bootstrap and add Python backend bindings to do things!
Till next time. -Adam


batch_q = self.q_function(batch_state, test=False).q_values
batch_q_target = self._compute_target_values(
experiences, gamma, cuda.to_cpu(batch_q.data))
if self.gpu >= 0:
batch_q_target = cuda.to_gpu(batch_q_target, self.gpu)
batch_q_target = Variable(batch_q_target)
if errors_out is not None:
assert experiences
batch_size = len(experiences)
// Compute Q-values for current states
batch_state = self._batch_states(
[elem["state"] for elem in experiences])


What is Model & Scan COVID Trends (MSCT)?
MSCT is able to model COVID-19 epidemic and predict the end of the most severe phase of the epidemic for each Italian Region. MSCT is constantly adjusting the estimations by incorporating daily updates in the model, and the outcomes
are presented in this app
First select what kind of data you want to visualize
Some data is the result of running the MSCT module (e.g: Model Score, Remaining days), others is a summary from public institutions data
How?
We calculated a derived variable called Epidemic Indicator, given by the sum of the number of patients in Intensive Care Unit (ICU) with the number of daily deaths. We noticed that this variable follows a regular descending trend, after the peak registered
on April 1st. In fact, it is an easily measurable information which doesn't suffer from sampling methodology or weekly fluctuations. It is certainly not perfect since it can also be prone to underestimation, mostly during the acute peak
of the crisis where the health system was stressed and hospitals saturated. But after that critical phase, the Epidemic Indicator should reflect pretty well the number of patients that are affected most severely by the virus
The main assumption of our analysis is that Epidemic Indicator can be a reliable variable for estimating the current epidemic progression and for modeling future trends. In fact, after April 1st this variable is decreasing at a constant
rate. For this reason, we can model the future trend of the Epidemic Indicator using Linear Regression, one of the most popular classical Machine Learning algorithms for supervised learning. This algorithm is relatively easy to implement
and works well when the relationship between covariates and response variable is known to be linear (in our case: Epidemic Indicator VS time). A known disadvantage is that Linear Regression over simplifies many real world problems.
We separated the dataset in 20 regional subsets
Then, we created and trained a Linear Regression Model for each region. Trained models are then used for predicting the end of the epidemic, expressed by the number of days remaining before Epidemic Indicator is expected to be 0. Of course,
not all regional models performed the same. Some regions have clear recovering trends (i.e. Lombardia), while others seem to have a less linear evolution (i.e. Lombardia). For this reason, every model also returns a performance score,
the coefficient of determination R² of the prediction. An R² of 1 indicates that the regression predictions perfectly fit the data. therefore the closer the value gets to 1, the more we can trust our model and its predictions
More technical information about the model can be found at
this link
Who?
Pere Roca Ristol, GIS and web-mapping development (JRC, Ipra)
Andrea Amparore, modelling MSCT (World Food Programme, Rome)


Methods
(static) checkConnection()
Prototype to check connection
(static) getActiveOrders()
Prototype to get active orders
(static) getCocktailDataByOrderId(id)
Prototype to get Cocktail Data by OrderId
Parameters:
| Name | Type | Description |
|---|---|---|
id |
(static) getOrderById(id)
Prototype to get Irder by Id
Parameters:
| Name | Type | Description |
|---|---|---|
id |
(static) getOrdersByStatus()
Prototype to get orders by status
(static) getOrdersFiltered(filter)
Prototype to get Orders Filtered
Parameters:
| Name | Type | Description |
|---|---|---|
filter |
(static) getOrdersUpdatedSince(timestamp)
Prototype to get Orders Updated since a Timestamp
Parameters:
| Name | Type | Description |
|---|---|---|
timestamp |
(static) performOrder()
Prototype to perform Order
(static) updateOrderStatus(orderid, status)
Prototype to update Orders status
Parameters:
| Name | Type | Description |
|---|---|---|
orderid |
||
status |


The following error occurred: params['error']; ?>
To change this custom error page, update _controller . DS . $this->_action; ?>.html


two schools of 3d graphics
canned 3d engine
- easy set up
- less flexibility
- difficult maintanenace
do-it-yourself
- more control
- less superfluous junk
- duplication of effort
democratizing computer graphics
"simple made easy"
want:
- shaders!
- accessible geometry > baked assets
- reusable components
- explicit > implicit
- open ecosystem
make it easy for anyone to build exactly the 3d engine they need without compromising on quality or robustness
stack.gl
goal: modularize computer graphics
stack.gl: overview
lessons from stack.gl
glslify and simplicial complexes: 😀 👍
webgl wrappers: 😞
- too much shared state
- too much coupling between modules
- lack of testing and clear specifications
regl
design goals:
- reactivity: minimize shared state
- reliability: docs, specs and tests
- responsiveness: minimal overhead
object oriented rendering
- scene graphs
- extremely common
- "dual write"/data binding problem
- ex: the DOM, most 3d engines
functional rendering
- unidirectional data flow
- no state => no data binding
- ex: react/redux, elm
demo
reliability
built for projects with long life cycles
- immediate and clear error messages
- well specified APIs
- commitment to API stability and limited scope
- over 40,000 test cases, >95% coverage
- continuous integration and code review
headless-gl
npm install gl
- creates a webgl context in node.js without a window
- works in most CI environments: circle-ci, travis, etc.
- fully conforms to official Khronos ARB test suite
- built on top of angle
get involved!
- regl.party
- https://github.com/regl-project/regl
- https://gitter.im/mikolalysenko/regl
acknowledgements
- @freeman-lab: financial and moral support
- @erkaman: development
- @whichlight: event planning and coordination
- @realazthat, @substack, @mk30 and many others: feedback, discussion and testing


A vaccination code is mentioned in the SMS you received. To confirm the appointment you must in turn send an SMS to 13034 writing only this code. You will then receive a new SMS stating that the process has been completed successfully. The pre-booking appointment must be confirmed within 72 hours, otherwise it will expire.
You can change the appointment suggested to you either at emvolio.gov.gr, or at a pharmacy or KEP, with the same procedure described in the next question, ie with the procedure followed by those who were not registered in the intangible prescription.
You have two ways: either to enter emvolio.gov.gr, or to go to a pharmacy or KEP.
Yes, it is possible. In fact, it can be done without authorization, as long as the person who will do the procedure for you signs a responsible statement with the following content:
What you need to do is check that you have been selected for the current phase of the vaccination. This is done in three ways: either at your pharmacy or KEP (with ID and AMKA), or at emvolio.gov.gr (with AMKA and AFM), or by sending an SMS to 13034 with your AMKA. If this is indeed a phone number issue, you can follow the appointment procedure described in the previous question.
You will need to log in to emvolio.gov.gr/aitisi and fill out the form that will appear - you will not be asked for Taxisnet codes. Your application will be reviewed by the relevant Committee and, if you did indeed have the right to be vaccinated during the current period, you will be informed on how to make an appointment. The application process can also be done at the KEP. Pay close attention to the contact details you provide, so that you can receive your response as soon as possible.
Unfortunately, the pre-booking process for each population group is done only once, before the appointments for that group are opened. Therefore, if you are in the vaccinated population group at this time, intangible prescribing may be helpful for your prescriptions and referrals, but not to make a vaccination appointment. Therefore, you should follow the procedure for the unregistered.
Appointments change as they close: either at emvolio.gov.gr, or at a pharmacy or KEP, in the same way as described before. Be aware that an appointment change can only be made twice and only if you request it at least 120 hours before the originally scheduled appointment.
Initially, your appointment is scheduled to be reminded three times, via SMS to the number you have stated to us: the first three days before the appointment, the second on the eve of the appointment and the third at 7 am on the day of the appointment.
You must have your ID card with you and your draft AMKA and vaccination code. Printing of vaccination details is optional.
You will be able to book your new appointment in any of the ways described above, but 6 days must have passed since the date of the canceled appointment.
No. The whole process is completely free for the citizens - both the visit to the pharmacies, and the sending and receiving of SMS.
You can search for every detail of the process.
Vaccinations of groups of the general population begin in January 2021. For the smooth implementation of this procedure, the following steps are followed:
After receiving both doses of the vaccine, most people will be protected. It takes at least a week after the 2nd dose to develop immunity, which, according to current scientific data, is estimated to last for 6 to 8 months. There is a small chance that someone will catch it even if they have received the vaccine. This means that it is important to continue to follow safety measures until a larger part of the population is vaccinated.
All European citizens will be vaccinated free of charge. The cost of vaccination in our country is fully covered by the European Union and the Greek State.
Το Εθνικό Σύστημα Υγείας προσφέρει αρχικά το εμβόλιο για την COVID-19 στα άτομα που φροντίζουν την υγεία του πληθυσμού και σε αυτούς που κινδυνεύουν περισσότερο. Οι υγειονομικοί είναι η πρώτη ομάδα που θα εμβολιαστεί ώστε να προστατευτούν οι ίδιοι αλλά και να είναι σε θέση να φροντίσουν την υγεία του πληθυσμού. Ο εμβολιασμός έχει ήδη ξεκινήσει. Η σειρά με την οποία θα πραγματοποιηθεί το εμβόλιο στον πληθυσμό θα βασίζεται στις οδηγίες της Εθνικής Επιτροπής Εμβολιασμού.
It is estimated that a large percentage of the population (approximately 7 in 10) should be vaccinated first, until immunity develops in the community. Therefore, we must continue to adhere to protection measures with the same consistency, until a large part of the population is vaccinated.
So far, hundreds of thousands of people have received the COVID-19 vaccine without any serious side effects, other than the usual ones seen after vaccination. The vaccines that will be used in our country have been approved for their safety, quality and effectiveness by the competent international organizations, EMA (European Medicines Agency) and the FDA (Food and Drug Administration) and have been tested by the WHO ( World Health Organisation).
Any side effects may be mild and transient, such as hand pain at the injection site, fever, malaise, myalgias and headache. All of these symptoms go away quickly, usually within twenty-four hours.


Class collections.RBMap
All Packages Class Hierarchy This Package Previous Next Index
Class collections.RBMap
java.lang.Object
|
+----collections.UpdatableImpl
|
+----collections.UpdatableMapImpl
|
+----collections.RBMap
- public class RBMap
- extends UpdatableMapImpl
- implements UpdatableMap, KeySortedCollection
RedBlack Trees of (key, element) pairs
-
cmp_
- The comparator to use for ordering
-
tree_
- The root of the tree.
-
RBMap()
- Make an empty tree, using DefaultComparator for ordering
-
RBMap(Predicate)
- Make an empty tree, using given screener for screening elements (not keys)
-
RBMap(Comparator)
- Make an empty tree, using given Comparator for ordering
-
RBMap(Predicate, Comparator)
- Make an empty tree, using given screener and Comparator.
-
RBMap(Predicate, Comparator, RBPair, int)
- Special version of constructor needed by clone()
-
aKeyOf(Object)
- Implements collections.Map.aKeyOf.
-
at(Object)
- Implements collections.Map.at.
-
checkImplementation()
- Implements collections.ImplementationCheckable.checkImplementation.
-
clear()
- Implements collections.UpdatableCollection.clear.
-
clone()
- Create an independent copy.
-
comparator(Comparator)
- Use a new comparator.
-
elements()
- Implements collections.Collection.elements.
-
exclude(Object)
- Implements collections.UpdatableCollection.exclude.
-
includes(Object)
- Implements collections.Collection.includes.
-
includesAt(Object, Object)
- Implements collections.Map.includes.
-
includesKey(Object)
- Implements collections.Map.includesKey.
-
keyComparator()
- Implements collections.KeySortedCollection.keyComparator
Time complexity: O(1).
-
keys()
- Implements collections.Map.keys.
-
occurrencesOf(Object)
- Implements collections.Collection.occurrencesOf.
-
putAt(Object, Object)
- Implements collections.UpdatableMap.putAt.
-
removeAt(Object)
- Implements collections.UpdatableMap.removeAt.
-
removeOneOf(Object)
- Implements collections.UpdatableCollection.removeOneOf.
-
replaceAllOf(Object, Object)
- Implements collections.UpdatableCollection.replaceAllOf.
-
replaceElement(Object, Object, Object)
- Implements collections.UpdatableMap.replaceElement.
-
replaceOneOf(Object, Object)
- Implements collections.UpdatableCollection.replaceOneOf.
-
take()
- Implements collections.UpdatableCollection.take.
tree_
protected RBPair tree_
- The root of the tree. Null iff empty.
cmp_
protected Comparator cmp_
- The comparator to use for ordering
RBMap
public RBMap()
- Make an empty tree, using DefaultComparator for ordering
RBMap
public RBMap(Predicate screener)
- Make an empty tree, using given screener for screening elements (not keys)
RBMap
public RBMap(Comparator c)
- Make an empty tree, using given Comparator for ordering
RBMap
public RBMap(Predicate s,
Comparator c)
- Make an empty tree, using given screener and Comparator.
RBMap
protected RBMap(Predicate s,
Comparator cmp,
RBPair t,
int n)
- Special version of constructor needed by clone()
clone
protected Object clone() throws CloneNotSupportedException
- Create an independent copy. Does not clone elements.
- Overrides:
- clone in class Object
includes
public synchronized boolean includes(Object element)
- Implements collections.Collection.includes.
Time complexity: O(log n).
- Overrides:
- includes in class UpdatableImpl
- See Also:
- includes
occurrencesOf
public synchronized int occurrencesOf(Object element)
- Implements collections.Collection.occurrencesOf.
Time complexity: O(log n).
- Overrides:
- occurrencesOf in class UpdatableImpl
- See Also:
- occurrencesOf
elements
public synchronized CollectionEnumeration elements()
- Implements collections.Collection.elements.
Time complexity: O(1).
- Overrides:
- elements in class UpdatableImpl
- See Also:
- elements
keyComparator
public synchronized Comparator keyComparator()
- Implements collections.KeySortedCollection.keyComparator
Time complexity: O(1).
- See Also:
- keyComparator
comparator
public synchronized void comparator(Comparator cmp)
- Use a new comparator. Causes a reorganization
includesKey
public synchronized boolean includesKey(Object key)
- Implements collections.Map.includesKey.
Time complexity: O(log n).
- Overrides:
- includesKey in class UpdatableMapImpl
- See Also:
- includesKey
includesAt
public synchronized boolean includesAt(Object key,
Object element)
- Implements collections.Map.includes.
Time complexity: O(n).
- Overrides:
- includesAt in class UpdatableMapImpl
- See Also:
- includes
keys
public synchronized CollectionEnumeration keys()
- Implements collections.Map.keys.
Time complexity: O(1).
- Overrides:
- keys in class UpdatableMapImpl
- See Also:
- keys
at
public synchronized Object at(Object key) throws NoSuchElementException
- Implements collections.Map.at.
Time complexity: O(log n).
- Overrides:
- at in class UpdatableMapImpl
- See Also:
- at
aKeyOf
public synchronized Object aKeyOf(Object element)
- Implements collections.Map.aKeyOf.
Time complexity: O(n).
- Overrides:
- aKeyOf in class UpdatableMapImpl
- See Also:
- aKeyOf
clear
public synchronized void clear()
- Implements collections.UpdatableCollection.clear.
Time complexity: O(1).
- Overrides:
- clear in class UpdatableImpl
- See Also:
- clear
exclude
public synchronized void exclude(Object element)
- Implements collections.UpdatableCollection.exclude.
Time complexity: O(n).
- Overrides:
- exclude in class UpdatableImpl
- See Also:
- exclude
removeOneOf
public synchronized void removeOneOf(Object element)
- Implements collections.UpdatableCollection.removeOneOf.
Time complexity: O(n).
- Overrides:
- removeOneOf in class UpdatableImpl
- See Also:
- removeOneOf
replaceOneOf
public synchronized void replaceOneOf(Object oldElement,
Object newElement) throws IllegalElementException
- Implements collections.UpdatableCollection.replaceOneOf.
Time complexity: O(n).
- Overrides:
- replaceOneOf in class UpdatableImpl
- See Also:
- replaceOneOf
replaceAllOf
public synchronized void replaceAllOf(Object oldElement,
Object newElement) throws IllegalElementException
- Implements collections.UpdatableCollection.replaceAllOf.
Time complexity: O(n).
- Overrides:
- replaceAllOf in class UpdatableImpl
- See Also:
- replaceAllOf
take
public synchronized Object take() throws NoSuchElementException
- Implements collections.UpdatableCollection.take.
Time complexity: O(log n).
Takes the element associated with the least key.
- Overrides:
- take in class UpdatableImpl
- See Also:
- take
putAt
public synchronized void putAt(Object key,
Object element)
- Implements collections.UpdatableMap.putAt.
Time complexity: O(log n).
- Overrides:
- putAt in class UpdatableMapImpl
- See Also:
- putAt
removeAt
public synchronized void removeAt(Object key)
- Implements collections.UpdatableMap.removeAt.
Time complexity: O(log n).
- Overrides:
- removeAt in class UpdatableMapImpl
- See Also:
- removeAt
replaceElement
public synchronized void replaceElement(Object key,
Object oldElement,
Object newElement) throws IllegalElementException
- Implements collections.UpdatableMap.replaceElement.
Time complexity: O(log n).
- Overrides:
- replaceElement in class UpdatableMapImpl
- See Also:
- replaceElement
checkImplementation
public void checkImplementation() throws ImplementationError
- Implements collections.ImplementationCheckable.checkImplementation.
- Overrides:
- checkImplementation in class UpdatableImpl
- See Also:
- checkImplementation
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--- date: 2022-01-11T12:00 lastmod: 2023-08-05 title: "I started learning 3D" description: "The start of my journey learning 3D with Blender, doing tutorials, and trying new things." image: "/assets/blog/i-started-learning-3d/title-card.png" imageAlt: "A wooden chair I made in Blender on a green background." linkTitle: "A post about my journey learning 3D" banner: "/assets/blog/i-started-learning-3d/light-studies-header" bannerAlt: "Two examples of my Blender studies with light, simple forms and colors." summary: "
After going through many tutorials and creating some small experiments on my own, I started learning 3D with Blender, and I'm in love with it.
" tags: ["post", "3d"] ---One day I thought, "Why not learn some 3D art?", and Blender was the open-source program of my choice. To get myself started, I decided to work through a bunch of tutorials, the first one being the famous donut tutorial. Here is my attempt after I went through all that was available in the playlist:
Next, I tried myself on a chair tutorial and photo-realism. The result, as seen below, really hooked me on the whole 3D thing.
After doing those tutorials, I thought immediately, "I can tackle a bigger project". Why not an Alien inspired spaceship interior? I love the Cassette Futurism seen in the movie, the aesthetics, and the grounded feel of it all. I opened a new Blender file and …
Nope. This is not happening; this is nothing I can tackle yet.
After reconsidering my skills and lowering them a lot, I came up with some new ideas I can work on. Learning light, creating small studies with abstract forms and some pleasing colors — baby steps, so to speak (even though I still want to create the spaceship one day). Here are some of those studies I made with the best of my knowledge and skill:


Proposal
Proposal
The proposal of the OpenWIM Project is to create an open environment to support WIM researchers to improve their research using open science concepts.
Open Science is built when 3 components are openly accessible:
- their publications (Open Access);
- their algorithms (Open Source) and;
- their data (Open Data).
To achieve these concepts, it is important to define the specific objectives. They are:
- open standards to store and share data;
- open standards to store and share codes;
- a guideline to publish an open WIM research.
At the end, the OpenWIM repository can be used by other researchers to store their research in a centralized way.
WEB site: http://openwim.github.io
Index of works:
| Title | Status |
|---|---|
| Open Science and Weigh in Motion Research | in progress |
| PyWIM | in progress |
| OpenWIM Data Standards | in progress |


Few Insights.
Using Machine Learning Model : Logistic Regression
AI System tries to predict the people who can be granted loans or need to be rejected
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We see that the most correlate variables are:
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ApplicantIncome with LoanAmount
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Credit_History with Loan_Status.
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LoanAmount is also correlated with CoapplicantIncome
Feature Engineering and and using models LR, Decision Tree, Random Forest
After using Feature engineering with the introduction of some new features like
- Total Income: As discussed during bivariate analysis we will combine the Applicant Income and Coapplicant Income. If the total income is high, chances of loan approval might also be high.
- EMI :is the monthly amount to be paid by the applicant to repay the loan. Idea behind making this variable is that people who have high EMI’s might find it difficult to pay back the loan. We can calculate the EMI by taking the ratio of loan amount with respect to loan amount term.
- Balance Income :This is the income left after the EMI has been paid. Idea behind creating this variable is that if this value is high, the chances are high that a person will repay the loan and hence increasing the chances of loan approval.
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We can see that:
- Credit_History is the most important feature followed by
- Balance Income,
- EMI,
- Total Income = ApplicantInc + Co-AppIncome
To know more about the data analysis look at this project on
Project on Github


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