climate change regional uncertainty Clim. epistemic information aspects warming risk changes circulation probabilistic global {border-style internal px;} variability #ffffff;} different figure storylines However, model type precipitation response storyline causal dynamical particular question Climate atmospheric change. confidence difference future physical uncertainties (.) ./JCLI-D--. forced framework problem projections relevant represented Change Nat. decision fact forcing given global-mean level science scientific statement storm approach errors knowledge mean networks provide related thermodynamic used (e.g. Shepherd aleatoric change, context impacts important models multi-model plausible px; reframing shown small space standard statements {font-family ./s--- .°C North Thus, conditions construction does effects font-size heat known large need probability regions representation subjective temperature time use Atlantic Chang. IPCC University WGI ]). application compared considered contrast deterministic double; ethical example example, inherently interpretation land levels local patterns prediction reliability risk. scale, second sensitivity statistical surface uncertainty. van variability. version way winter ./GL Assessment European Figure Geophys. Group Lett. Press. Report Res. Science Working adaptation alternative analysis approaches basis border-color border-width concerning emergent ensembles especially evidence extreme follows framework, generally lack nature needed objective paradigm perspective physically provided provides relationship represents risk, science, simulations solid; sources term terms track useful users versus warming. way, {font-style {font-weight (Online (in (see ./NCLIMATE August Cambridge Cambridge, Deser Dyn. Fifth Geosci. Pearl Sci. Storylines UK: Yet, anthropogenic appropriate argued based bold case challenge changes, characterized choices colour.) comes conditional courier; cycle determine differences distinction drying dynamics em; ensemble extent extratropical factorization factors high high-impact highly human impact impacts, including information, involves jet lower methodology models, models. order point poleward projections. property pt;} random range region representing right scale scenarios that, traditional tropical uncertainty, vulnerability widely


 Choose another one
PLAY
Quit?
Score:
0
Highscore:
0
Current Position:
0
Left
Up
Down
Right
Watch
Settings


Provides a modified function bic.glm of the BMA package that can be applied to multinomial logit (MNL) data. The data is converted to binary logit using the Begg & Gray approximation. The package also contains functions for maximum likelihood estimation of MNL.
| Version: | 0.1-6 |
| Depends: | R (≥ 2.9.0), BMA, abind, maxLik |
| Suggests: | mlogit |
| Published: | 2013-12-11 |
| Author: | Hana Sevcikova, Adrian Raftery |
| Maintainer: | Hana Sevcikova <hanas at uw.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | Bayesian |
| CRAN checks: | mlogitBMA results |
| Reference manual: | mlogitBMA.pdf |
| Vignettes: |
Conversion Details |
| Package source: | mlogitBMA_0.1-6.tar.gz |
| Windows binaries: | r-devel: mlogitBMA_0.1-6.zip, r-release: mlogitBMA_0.1-6.zip, r-oldrel: mlogitBMA_0.1-6.zip |
| OS X binaries: | r-release: mlogitBMA_0.1-6.tgz, r-oldrel: mlogitBMA_0.1-6.tgz |
| Old sources: | mlogitBMA archive |
Please use the canonical form https://CRAN.R-project.org/package=mlogitBMA to link to this page.


{% extends "page.html" %} {% block title %}- Disconnect Social Account Confirmation{% endblock %} {% block styles %} {{ block.super }} {% endblock %} {% load bootstrap3 %} {% bootstrap_messages %} {% block content %}
Are you sure you want to disconnect your Google account?
Are you sure you want to disconnect your LinkedIn account?
Are you sure you want to disconnect your Facebook account?
Are you sure you want to disconnect your HydroShare account?
Are you sure you want to disconnect your HydroShare-beta account?
Are you sure you want to disconnect your HydroShare-playground account?


Ramdas Athawale Reveals Counseling Shiv Sena's Sanjay Raut, Urging Compromise With BJP
by Navashree NandiniGeneral News
Amid uncertainty over government formation in Maharashtra, Union Minister Ramdas Athawale said that he was told by H.M Amit Shah that govt will be formed soon
Written By Navashree Nandini | Mumbai | Updated On: November 18, 2019 17:59 IST
Amid uncertainty over government formation in Maharashtra, Union Minister Ramdas Athawale said that he was told by Home Minister Amit Shah that the Maharashtra government would be formed soon. Athawale's RPI fought the election as a part of Mahayuti alliance with the Shiv Sena. He also said that he has asked the Shiv Sena to compromise on the rotational chief minister position.
Athawale said, "Had a word with Sanjay Raut, and told him to compromise. I have asked him for a 3:2 years (3 for BJP, 2 for Shiv Sena) Chief Minister post. I will have a word with BJP now."
Earlier, Athawale had said that he spoke to Prime Minister Narendra Modi and BJP chief and Home Minister Amit Shah about the stalemate in the state. "In the all-party meeting, Sena leaders were not present. Today I spoke with PM to try to find a way out of this situation. I told Amit Bhai (BJP President Amit Shah) that if he mediates then a way can be found out to which he replied 'don't worry, everything will be fine", he said.
READ | Sanjay Raut takes 'power-hungry' jibe at former CM Fadnavis, amid Sena-NCP-Congress talks
Sharad Pawar to meet Sonia Gandhi
Even as Maharashtra remains under President's rule, Shiv Sena, NCP and Congress are unable to decide on a common minimum program. ON Monday, NCP chief Sharad Pawar arrived in Delhi to meet Congress interim president Sonia Gandhi. Earlier in the day, Pawar while peaking to media reportedly said: "Really?" He said, "What talks? Talks regarding what? There are no talks now. BJP-Sena is separate, NCP-Congress is different. How can you say this? They have to pave their path, and we have to pave ours."
READ | Devendra Fadnavis pays tribute to Balasaheb Thackeray at Shivaji Park amid Maha deadlock
BJP-Shiv Sena fallout
Meanwhile, the BJP-Shiv Sena's 'Mahyuti' of 35 years fell out at the state-level with Sena supremo Uddhav Thackeray insisting a 50-50 sharing of Chief Minister post for 2.5 years and portfolios and Fadnavis refused to these demands. Both parties are eyeing to form the next government separately in Maharashtra -which is currently under President's rule. While the Shiv Sena-NCP-Congress is still in talks to finalise the Common minimum programme to form an alliance, the BJP has vowed that it will form the next government. The Mahayuti alliance swept Maharashtra on October 24, winning a combined tally of 161 (BJP- 105, Sena -56).
READ | Remembering Balasaheb Thackeray: Fadnavis, Pawar and Gadkari pay tribute to Sena founder
READ | PM Modi hails NCP & BJD for never storming the well; says 'BJP can learn from them'


|
Hi {firstname} {lastname},
|
|
|
|
Should you have any questions about the delivery, don't hesitate to contact us.
You can reach us via the contact form on our website.
Kind regards,
{shop_name}
|


The Mro script is used by the Mro (sometimes “Mru”) people of the Chittagong Hill Tracts in southeastern Bangladesh. It was invented by a member of the community in the 1980s, and apparently the majority of the community are now literate in it.
This keyboard uses a phonetic layout for the Mro/Mru language using the Mro script. It is based on the Linux keyboard which is available here: http://phjamr.github.io/mro.html The author encourages others to build on his work. This keyboard does not support the ALT keys for Latin or Bengali. It solely supports the Mro script.
This keyboard requires the use of a Mro font. Mro Unicode is included with this font package, but any Mro script Unicode font could be used.
© 2020 SIL International


Before Change
ret = self._flush_trial(trial_id)
if cached_trial.state != TrialState.RUNNING:
study_id, number = self._trial_id_to_study_id_and_number[trial_id]
del self._studies[study_id].trials[number]
return ret
return self._backend.set_trial_state(trial_id, state)
After Change
return self._flush_trial(trial_id)
ret = self._backend.set_trial_state(trial_id, state)
if (
ret
and state == TrialState.RUNNING
and trial_id in self._trial_id_to_study_id_and_number
):
// Cache when the local thread pop WAITING trial and start evaluation.
with self._lock:
study_id, _ = self._trial_id_to_study_id_and_number[trial_id]
self._add_trials_to_cache(study_id, [self._backend.get_trial(trial_id)])
return ret
def set_trial_param(
self,


Making your site usable by everybody regardless of ability.
Increase
Customer Pool
No Lawsuits
Better UX
It is critical we do this right
Web Content Accessibility Guidelines
The official guidelines published by the W3C on how to make the web accessible.
Perceivable
Operable
Understandable
Robust
Available to the senses either through the browser or through assistive technologies.
Users can interact with all controls and interactive elements using either the mouse, keyboard, or an assistive device.
Content is clear and limits confusion and ambiguity.
A wide range of technologies and devices can access the content.
Motor
Visual
Auditory
Cognitive
Neurological
Temporary
The browser scans the HTML code and creates both the DOM and the Accessibility Tree.
A tree representation of the webpage that contains all meta-data about every page element.
Name
State
Role
Value
Web Accessibility Initiative - Accessible Rich Internet Applications
Powerful tool that allows the developer to directly modify the accessibility tree.
No ARIA is better than Bad ARIA
ARIA can modify an element's state, role, and properties, so using ARIA incorrectly misrepresents an element on a page.
Example: Imagine a paragraph tag was styled to look like an input.
HTML is accessible by default and will have the proper semantics.
It eliminates bloat from your HTML and clarifies your CSS.
// Semantic Selectors
input:invalid,
[aria-invalid] {
border: 4px dotted #f64100;
}
// BEM Styled Class Selectors
input.input__invalid {
border: 4px dotted #f64100;
}
A lot of information is understood visually via context.
Additional markup can be used to bridge that gap
Automatic
Manual
Questions⁉


#include <iostream>
#include <vector>
#include "bakery.h"
#include "AuxFunctions.h"
Go to the source code of this file.
|
| void | clearBuffer () |
| |
| int | menu (Date *date, Time *time) |
| |
| int | showMenu () |
| |
| void | companyMenu (Company *c) |
| |
| int | showCompanyInformationOptions (Company *c) |
| |
| void | bakeryMenu (Company *c) |
| |
| int | showBakeryOptions (Company *c) |
| |
| void | chooseBakery (Company *c) |
| |
| void | addBakery (Company *c) |
| |
| void | chooseBakeryMenu (Bakery *b) |
| |
| int | showChooseBakeryOptions (Bakery *b) |
| |
| void | changeBakeryAddress (Bakery *b) |
| |
| void | addClient (Bakery *b) |
| |
| void | searchClient (Bakery *b) |
| |
| void | addEmployee (Bakery *b) |
| |
| void | removeEmployee (Bakery *b) |
| |
| void | searchEmployee (Bakery *b) |
| |
| void | clientMenu (Company *c) |
| |
| int | showClientOptions (Company *c) |
| |
| void | chooseClient (Company *c) |
| |
| void | addClient (Company *c) |
| |
| void | chooseClientMenu (Company *c, Client *cli) |
| |
| int | showChooseClientOptions (Company *c, Client *cli) |
| |
| void | togglePremiumClient (Client *cli) |
| |
| void | addOrder (Company *c, Client *cli) |
| |
| void | deliverOrder (Company *c, Client *cli) |
| |
| void | cancelOrder (Company *c, Client *cli) |
| |
| void | orderMenu (Company *c) |
| |
| int | showOrderOptions (Company *c) |
| |
| void | chooseOrder (Company *c) |
| |
| void | addOrder (Company *c) |
| |
| void | chooseOrderMenu (Company *c, Order *o) |
| |
| int | showChooseOrderOptions (Company *c, Order *o) |
| |
| void | changeDate (Order *o) |
| |
| void | changeTime (Order *o) |
| |
| void | addProduct (Company *c, Order *o) |
| |
| void | employeesMenu (Company *c) |
| |
| int | showEmployeeOptions (Company *c) |
| |
| void | chooseEmployee (Company *c) |
| |
| void | addEmployee (Company *c) |
| |
| void | chooseEmployeeMenu (Company *c, Employee *e) |
| |
| int | showChooseEmployeeOptions (Company *c, Employee *e) |
| |
| void | changeSalary (Employee *e) |
| |
| int | getSalary (vector< Employee * > employees) |
| |
| void | productsMenu (Company *c) |
| |
| int | showProductOptions (Company *c) |
| |
| void | addProduct (Company *c) |
| |
◆ addBakery()
◆ addClient() [1/2]
◆ addClient() [2/2]
◆ addEmployee() [1/2]
| void addEmployee |
( |
Bakery * |
b | ) |
|
◆ addEmployee() [2/2]
◆ addOrder() [1/2]
◆ addOrder() [2/2]
◆ addProduct() [1/2]
◆ addProduct() [2/2]
◆ bakeryMenu()
◆ cancelOrder()
◆ changeBakeryAddress()
| void changeBakeryAddress |
( |
Bakery * |
b | ) |
|
◆ changeDate()
| void changeDate |
( |
Order * |
o | ) |
|
◆ changeSalary()
◆ changeTime()
| void changeTime |
( |
Order * |
o | ) |
|
◆ chooseBakery()
◆ chooseBakeryMenu()
| void chooseBakeryMenu |
( |
Bakery * |
b | ) |
|
◆ chooseClient()
◆ chooseClientMenu()
◆ chooseEmployee()
◆ chooseEmployeeMenu()
◆ chooseOrder()
◆ chooseOrderMenu()
◆ clearBuffer()
◆ clientMenu()
◆ companyMenu()
◆ deliverOrder()
◆ employeesMenu()
◆ getSalary()
| int getSalary |
( |
vector< Employee * > |
employees | ) |
|
◆ menu()
◆ orderMenu()
◆ productsMenu()
◆ removeEmployee()
| void removeEmployee |
( |
Bakery * |
b | ) |
|
◆ searchClient()
| void searchClient |
( |
Bakery * |
b | ) |
|
◆ searchEmployee()
| void searchEmployee |
( |
Bakery * |
b | ) |
|
◆ showBakeryOptions()
| int showBakeryOptions |
( |
Company * |
c | ) |
|
◆ showChooseBakeryOptions()
| int showChooseBakeryOptions |
( |
Bakery * |
b | ) |
|
◆ showChooseClientOptions()
◆ showChooseEmployeeOptions()
◆ showChooseOrderOptions()
◆ showClientOptions()
| int showClientOptions |
( |
Company * |
c | ) |
|
◆ showCompanyInformationOptions()
| int showCompanyInformationOptions |
( |
Company * |
c | ) |
|
◆ showEmployeeOptions()
| int showEmployeeOptions |
( |
Company * |
c | ) |
|
◆ showMenu()
◆ showOrderOptions()
| int showOrderOptions |
( |
Company * |
c | ) |
|
◆ showProductOptions()
| int showProductOptions |
( |
Company * |
c | ) |
|
◆ togglePremiumClient()
| void togglePremiumClient |
( |
Client * |
cli | ) |
|


§183D-23 Licenses expire when. All licenses shall expire on June30 next following the date of issuance, except for licenses obtained pursuant to section 183D-22(b)(3). [L 1985, c 174, pt of §4; am L 2007, c 129, §2]


MCPT attack map is a little page that tabulates the countries that we have seen internet scanners from.
The data is tabulated from our server logs obtained through Karby.
This product includes GeoLite2 data created by MaxMind, available from
https://www.maxmind.com.


You are about to submit your assessments.
You will not be able to edit after you submit. Are you sure you want to continue?
Yes I want to submit the assessments


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/multithreading.20in.20tactics.3F.html ---
There's no access to multithreading from inside a begin ... end
block, is there?
library_search
would love to fire off multiple tasks and just get an answer from the first one to succeed.
use task
I've tested it to work in tactics
can you fire off 10, and ask for the first completion?
Not sure about nondeterministic uses though
I had some proposals for nondeterminism primitives but they never landed in core AFAIK
It seems there's no way to get the first completion.  It's more powerful than my initial impression, but much less powerful than general threading
remember nondeterminism + functional programming = bad
But it's meta anyway so I don't really know why the kid gloves
in fact this could probably just have the meta removed, it's a perfectly valid pure interface
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Ka'ala Systems Technology Awarded $3.8M Contract for DLA Technology Support in the Pacific Region
Ka’ala Systems Technology Corp. Awarded $3,8M Contract for Defense Logistics Agency Information Technology Support Services Pacific Region
Ka’ala Systems Technology (KST) Corp. was awarded the Prime contract for Defense Logistics Agency (DLA) Information Technology (IT) support services. for Information Technology (IT) End User IT Operations Services, System and Network Administration, and Information Assurance/Support to users at DLA facilities for DLA Pacific J6 in Hawaii, Guam, Alaska, Japan, Okinawa, Korea, Singapore, and Thailand.
The Defense Logistics Agency provides worldwide logistics support for the missions of the Military Departments and the Unified Combatant Commands under conditions of peace and war. In support of Defense Logistics Agency’s (DLA's) mission, DLA) Information Operations, J6, is the Agency’s knowledge broker, providing comprehensive, best practice Information Technology (IT) support to the Department of Defense (DoD) and DLA Business Community resulting in high quality information systems, customer support, efficient and economical computing, data management, and telecommunication services.
DLA Information Operations (J6) has the responsibility of providing End User IT support services for its user population as well as those of other DLA, DoD and contractor entities and the activities that these organizations support on DLA operated facilities.
The Information Operations Stakeholder Integrated Services, Customer Support and Readiness (J63A) office is responsible for providing Enterprise IT Helpdesk and Desktop Level End User Support functions worldwide. End user / Desktop Support work is provided by a mix of government and contractor personnel and is divided into Regions for support efforts.
KST’s primary objective is to provide these services for the Pacific Region and ensure that all IT equipment, to include network hardware, server hardware, workstations, printers, portable computers, network infrastructure, and miscellaneous IT equipment, is functioning at all times to support mission requirements. Global IT support services shall be provided to end-users when working at their primary duty location, when working from an alternate site, and/or when working in a temporary duty (TDY) status away from primary duty location.


About CoinVibes is a project of the team at Halfmoon Labs. Want to reach out? Just shoot us an email.


Why
How
What
By 2020, customers will manage 85% of their relationship with the enterprise without interacting with a human.
--Gartner Predicts--
By 2020, 30 percent of all B2B companies will employ artificial intelligence (AI) to augment at least one of their primary sales processes.
--Gartner Predicts--
Natural Language Understanding
Meerdere lagen


See your Facebook News Feed Using access Token !
Visit
Here
to grab your access token now
I'm ready !
Click on this button to see my Facebook News feed
My News Feed


www.cgranade.com/research/talks/ibm/05-2017
Ferrie, Granade, Cory tfx
Granade et al. s87
Granade et al. b5x8
Stenberg et al. b59p, Robertson and Granade (in preparation)
Robertson and Granade (in preparation)
Granade, Ferrie, Cory zmz
Wiebe et al. tf3
Wiebe et al. 7nx
Wiebe et al. tdk
Huszár and Houlsby s86; Granade, Combes, Cory bhdw
theory Wiebe and Granade bk9d, expr Paesani et al. b59r
theory Ferrie bchr, expr Chapman et al. b59v
Granade et al. 1605.05039
Liu and West 8c2
Doucet et al. bmch
Ferrie and Granade tdj
Granade 10012/9217
figure: Ferrie tb4
Kimmel et al. 1608.00281, joint work w/ Kimmel and Wiebe
Svore et al. 1304.0741
Wiebe and Granade 1512.03145
Granade and Wiebe 1612.00762
background: neon by Orest Tataryn
background: photo by mattbuck , h/t Wiebe
Isard and Blake cc76f6
Cassandra E. Granade
Centre for Engineered Quantum Systems
$
\newcommand{\ee}{\mathrm{e}}
\newcommand{\ii}{\mathrm{i}}
\newcommand{\dd}{\mathrm{d}}
\newcommand{\id}{𝟙}
\newcommand{\TT}{\mathrm{T}}
\newcommand{\defeq}{\mathrel{:=}}
\newcommand{\Tr}{\operatorname{Tr}}
\newcommand{\Var}{\operatorname{Var}}
\newcommand{\Cov}{\operatorname{Cov}}
\newcommand{\rank}{\operatorname{rank}}
\newcommand{\expect}{\mathbb{E}}
\newcommand{\sket}[1]{|#1\rangle\negthinspace\rangle}
\newcommand{\sbraket}[1]{\langle\negthinspace\langle#1\rangle\negthinspace\rangle}
\newcommand{\Gini}{\operatorname{Ginibre}}
\newcommand{\supp}{\operatorname{supp}}
\newcommand{\ket}[1]{\left|#1\right\rangle}
\newcommand{\bra}[1]{\left\langle#1\right|}
\newcommand{\braket}[1]{\left\langle#1\right\rangle}
$
Characterization plays a number of different roles in quantum information experiments.
Let's look at an example.
Prepare state $\ket{\phi}$ s. t. $U\ket{\phi} = \ee^{\ii \phi}\ket{\phi}$, measure to learn $\phi$.
$\Pr(1 | \phi; M, \theta) = \cos^2(M [\phi - \theta])$
Phase estimation is both a statistical problem and a control problem:
Given a set of observations $D$, what should we report as our estimate of $\phi$?
What should we choose as our next $M$ in order to get the best estimate of $\phi$?
…phase estimation constitutes the outer most loop of the quantum [chemistry] simulation and hence is a major driver of the cost of the simulation…
Accurate characterization feeds back into design cycle by enabling more efficient architectures.
So what do we mean by practical?
We want solutions that are:
How does this apply to phase estimation?
We develop new FPGA-compatible filtering algorithms for Bayesian inference.
Choosing $M = \lfloor 1.25 / \mathbb{V}(\phi) \rfloor$ yields nearly Heisenberg scaling.
Together, our statistical inference and heuristic design methods dramatically outperform existing techniques.
Using sound statistical principles and efficient heuristics, we improve dramatically over state-of-the-art:
We encounter very similar problems for learning time-independent magnetic fields.
Suppose $H = \omega \sigma_z / 2$ for some unknown $\omega$.
We can also incorporate more realistic models directly into the problem for more practical applications.
Given data $D$, and a model $\vec{x}$, what should we estimate $\vec{x}$ as?
From an experimental perspective, parameter estimation isn't the point, but a tool to get things done.
Our goal is thus to make useful tools for practical parameter estimation.
We use principled statistics and heuristic design to make it easier to get experiments done:
Represent our beliefs about the model by a set of hypotheses $\{\vec{x}_i\}$, along with their weights $\{w_i\}$.
Numerical stability is provided by resampling:
Preserves estimates and errors of hypotheses $\{\vec{x}\}$, while restoring stability of the approximation.
Our implementation‚ QInfer, supports common quantum information models:
$ pip install qinfer
For Julia, we need one additional step:
julia> Pkg.add("PyCall")
import numpy as np
true_omega = 70.3
n_shots = 100
ts = np.pi * np.arange(1, 101) / (2 * 100.0);
signal = np.sin(true_omega * ts / 2) ** 2;
counts = np.random.binomial(n=n_shots, p=ideal_signal)
import qinfer as qi
data = np.column_stack([
counts, ts, n_shots * np.ones(len(ts))
])
est_mean, est_cov = qi.simple_est_prec(
data, freq_min=0, freq_max=100
)
setenv MKL_NUM_THREADS 1
data = py.numpy.column_stack({counts ts ...
n_shots * ones(1, size(ts, 2))});
est = py.qinfer.simple_est_prec(data, ...
pyargs('freq_min', 0, 'freq_max', 100));
@pyimport numpy as np
@pyimport qinfer as qi
data = [counts'; ts';
n_shots * ones(length(ts))']'
est_mean, est_cov = qi.simple_est_prec(data,
freq_min=0, freq_max=100)
>>> basis = pauli_basis(1)
>>> prior = GinibreReditDistribution(basis)
>>> model = TomographyModel(basis)
>>> true_state = prior.sample()
>>>
>>> updater = SMCUpdater(model, 8000, prior)
>>> heuristic = RandomPauliHeuristic(updater)
>>>
>>> for idx_experiment in range(500):
... experiment = heuristic()
... datum = model.simulate_experiment(
... true_state, experiment
... )
... updater.update(datum, experiment)
Tomography support in QInfer is backed by the quantum object representation and prior distributions provided by QuTiP 4.0.
>>> modelparams = basis.state_to_modelparams(rho)
>>> rho = basis.modelparams_to_state(rho)
>>> cov_superop = basis.covariance_mtx_to_superop(
... updater.est_covariance_mtx()
... )
Makes it easy to integrate with other QIP concepts: fidelity, Schatten and diamond norms, etc.
QInfer also supports time-dependent parameter estimation by adding an update rule to hypothesis positions as well as weights: $$ \vec{x}(t_{k + 1}) - \vec{x}(t_k) \sim \mathcal{N}(0, \sigma^2). $$
We can also build new algorithmic approaches using ideas from particle filtering.
Using $a = 0$ resampling, need only keep one particle in memory at a time.
Input: Prior mean $\bar{x}$, prior covariance $\Sigma$, number of samples $m$ to accept.
$$ \sum_x \sqrt{\Pr(x)} \ket{x} \mapsto \sum_x \sqrt{\Pr(x | d)} \ket{x}. $$
Gives quantum algorithm for performing Bayesian inference.
Uses machine learning techniques such as clustering to learn the structure of a parameter estimation problem.
Critical for multi-modal and degenerate problems.
Instead of resampling globally, split a particle filter into modes and resample locally.
| ■ | Local particle filter |
| ● | Model selection |
| ▲ | Mixture between clusters |
Principled approaches to parameter estimation reduce demands on experiment design.
Thus, heuristics.
Express tomography as an optimization problem.
Which state $\ket{\hat{\phi}}$ has the greatest overlap with the unknown true state $\ket{\phi}$?Estimate objective function $\left|\braket{\hat{\phi} | \phi}\right|^2$ by measuring in the basis $\bra{\hat{\phi}}$. Can then solve using stochastic optimization.
The path a stochastic optimizer takes to its maximum overlap then describes a sequence of measurements.
Use a stochastic optimizer to heuristically choose measurements, then postprocess with Bayesian inference to report principled estimate.
We wish to learn $H$ given access to $e^{-i (H - H_-) t}$ for some time $t$ and hypothesis $H_-$.
Ensures $t |H - H_-|$ is approximately constant, such that Loschmidt echo is preserved.
Useful for separating preparation and measurement errors in tomography, with the Kimmel et al. / LMR algorithm.
Using physical insight such as the Lieb–Robinson bound, can extend benefits even to systems ~50 qubits.
Heuristics are useful, but how do we select the most appropriate heuristic for an experiment?
Given a family of heuristics $e(\vec{h})$ parameterized by a vector $\vec{h}$, repeatedly simulate experiments to choose $\vec{h}$ that minimizes the risk (average error) incurred.
>>> perf = perf_test_multiple(
... n_trials=50, n_exp=50, n_particles=1000,
... model=SimplePrecessionModel(),
... prior=UniformDistribution([0, 1]),
... heuristic_class=ExpSparseHeuristic
... )
Returns error, timing, and diagnostics for each different trial.
Combined with novel opimization algorithms, can automatically find appropriate heuristics based on design constraints.
Together, principled statistical methods and heuristic experiment design offer a powerful approach to relaxing design constraints in QIP.


Home
(current)
Striper Steve
Guide Services
Photo Gallery
Latest Action
Facebook
Call<PHONE_NUMBER>
Guide Services
Ready to fish? Book a charter now!
Book Now!


 I was getting stressed about the change, but then I realized I deliberately put .html at the end of all my URLs just so I could dump everything to a static version, so I shouldn't be too worried. (And then I still need to fix up the redirects that I let break over the years and clean out spam and catch anything I've accidentally deleted and... oh bother)
Anyway, I'd like:
I don't actually care that much about the language of implementation. I have too damn many projects, which is why this software has been so neglected, and I don't want another project. Suggestions? Just jump on the WordPress bandwagon?
 It looked kind of sophisticated a year or two ago; now it is just an annoying waste of space. And the way comments get strewn way down the page adds to the ghettoization of comments in many blogs.  The rise of RSS and aggregators has shown us that uniform presentation is a more pleasant reading experience, so I plan to let browser defaults control much of the look of my site.
If you are curious about why this software sucks... I blame it on my ill-advised attempt to avoid a database. Flat files suck.  I used both here. But the .html extensions are awesome!
I think home-grown blog software nicely illustrates the fact that public pressure and users actually and significantly improve the quality of a given software. (And I am not saying that you don't understand this, btw. I am sure you do.) There rarely is anything too demanding to implement in a blog software, but the sheer amount of features you need to implement is overwhelming. Implementing your own blog software starts with the usual "I can do this myself" and ends with "I am tired of implementing yet another must-have feature."
About the anti-spam problem...
Have you looked at using SpamBayes for classifying spam (and ham)? Like this guy: http://mail.python.org/pipermail/python-list/2003-March/155527.html Apart from all the setting-it-up the only code you have to write is a tokenizer.
Hi Ian,
While we're at it: I noticed several times that the availability of your blog also was very bad (to me it was something like 25% of my tries this site wasn't available). Was that also due to your "attempt to avoid database" or were there other reasons. You - as someone who is quite exposed on the Python web development front - shouldn't have such a bad availability (as this can also fuel the anti-python fud). If this is the fault of your hosting company you should obviously change to another one.
# Michael
It's mostly the software that's causing the problem. There's been a few times when the Subversion server (previously under the same Apache instance) caused some collatoral damage, but mostly the software itself. There's two scaling problems the software has: everything is kept in flat files, but the actual data model is fairly relational. And there's now quite a few posts and comments (about 8000, I guess), and some of the operations require scanning the contents of those files (not many, but a couple). To help that situation, I then foolishly thought I'd keep indexing information in a BDB database. That's fairly fast, but maintaining indexes in an ad hoc fashion is a horrible idea -- it's hard, and you accomplish nothing you couldn't do better with a more general system. And BDB does not operate well under load, especially with concurrent access. That ended up being the biggest problem, with the process just freezing up regularly (usually with no error, it simply stops responding and won't shut down properly).
Right now I don't think I use anything in this blog that I use regularly elsewhere.
# Ian Bicking
Although this may be heresy, i use the perl powered MovableType engine.
I like it because of the ease of setting up new blogs and new authors, in fact most of the admin stuff is very easy.
I dis-like it because i can't extend it, due to lack of interest in learning perl.
Perhaps not the flavour of the month like Wordpress, and not Open Source, but i've found it to be a capable commercial tool.
It can do static file output, or dyanmically served pages, via PHP. Internal storage comes with a variety of options. "Free for personal use" licence available. Good anti-spam tools. Open-ID plugin available. Threaded comments available via a hack (which is ugly).
Good luck with your choice!
Perl would be fine -- then I wouldn't even be tempted to modify it ;) -- but the proprietary part is a big turn-off.
Has anyone else noticed that there was all sorts of buzz about MT, and lots of blogs using it, until it changed its licensing? Now I almost never hear about it; zero buzz, and proportionally it seems like a fairly marginal piece of software. Well, really it's that the hosted options have become incredibly dominant; and even though MT was never open source, people in the open source community were suddenly reminded of that (and left in droves) when they changed their licensing, and those are the blogs I tend to read.
# Ian Bicking
While WordPress ist the most popular, Serendipity is widely acknowledged as the best.
I use it myself and can say, it has nearly every feature you want. Except the "reStructured Text or something". At least i haven't found anything yet. Writing Pythoncode in HTML is ugly, but i know nothing better.
So my advice is: http://www.s9y.org/
And not caring about the language of implementation is important, since it's PHP ;)
One thing I realize now is that software that supports XMLRPC (or better Atom) posting can support whatever client-side rendering I want (but not editing, which is OK). So I could compose in reST, then have something that renders to to HTML and uploads it as a post. Which is good enough for me (though I also hope that at least something reasonable is available for commenters -- seeing how hard it is to talk about code in the Radio commenting environments shows how difficult that can make things).
# Ian Bicking
Hi Ian,
I wrote a little script to post comments to my wordpress blog from emacs (or whatever editor you might use), except that I used textile as a text formatter. I imagine there's a python module for rest, so you should be able to use it with it. Here's the URL: http://aida.homelinux.net:3050/scripts/file/wordpress/write-blog.py
If you were into any of the php solutions (wp, s9y, typo3, etc), maybe you could try GeSHI to produce a good looking python code.
# k4ml
Mmmm... good point, syntax highlighting would be an excellent feature.
# Ian Bicking
The features page on Serendipity doesn't mention it, but I notice on their blog that they have .html extensions and threaded comments. And a good number of interesting plugins, like GeSHI, and input plugins like Textile (which, while not my favorite, I'm sure I can adapt to). So far Serendipity is looking like the top runner.
# Ian Bicking
I have tried a number of the PHP based blog software products. WordPress wins hands down. Serendipity was runner up, but it just does not have the large community behind it making it better and better.
What about trying to get a blog on artima.com (you would be in good company there - and they have threaded comments)?
# Mike
I want to keep my own domain, and generally have control of the URL space, which is a prerequesite for having practical control of the content. Of the hosted services, only Blogger actually offers this (with static file uploading). But I'd like something a bit nicer than Blogger.
# Ian Bicking
I bet you'll not stay very long with a not paste blog software ! No, i can believe-it...
I'd either go with WP -- well-established, open source, and requiring little or no hacking -- or plunge in and write a Paste-deployable blogging app yourself. I have a feeling that there's some demand for solid, extensible Python blogware right now. You might not care about that itself, but it would also inevitably drive interest in (and understanding of) Paste itself.
I'm in the camp that thinks writing one's own is a useful exercise. I plan on converting my own PHP5/SQLite system to Django "soon."
You could always try Typo!
Oh, and for markup, what about Markdown? I've written a couple hundred posts in it now and I just keep liking it more. Clean syntax, just enough power (for me), and few warts.
It was a useful exersize; I learned a lot from this software. Now I'm finished learning and just want to blog ;) I'm guessing that WP will require less administration than Typo, but I wouldn't be opposed to Typo on principle or anything. I notice there was a threaded comments patch that was not applied: http://www.typosphere.org/trac/ticket/135 -- that disappoints me. Maybe because I talk about fairly technical things, I've never felt bothered when there's been discussion in the comments. Discouraging discussion by making it hard to follow hardly seems like a constructive practice.
# Ian Bicking
Hmmm.... well Firedrop2 is a nice clientside blog manager. It supports ReST markup and generates static html. You'd have to hack it to produce the type of URLs you want, but that should be easy.
Being static it doesn't have a built in comment solution. You could add that with a server side web-app. I've considered doing it myself. That means not necessarily having comments on the same page as the entry though (except through includes or javascript perhaps). This may kill the idea for you. :-s
Fuzzyman
# anonymous
Static publishing of dynamic content (e.g., publishing SSI or PHP files) could make inlining of comments from another system fairly easy. My only worry would be that the result would have all the complexities of both a fully dynamic and fully static system. I think the general architecture -- splitting posting from commenting, among other possible splits (e.g., splitting feeds into one product and tags into another) -- has real merit. I just don't want to experiment at the moment ;)
But that's all the more reason to have an escape plan for this next blog software as well.
# Ian Bicking
What do you think about static publishing of an entry that uses AJAX to grab dynamic comments? Sure, it's two calls back to the server, instead of one, but at least one of those calls (and perhaps both, if the software was written cleverly) could be served directly from apache, no Python needed...
Just a thought.
You can leverage the blog app from the djangoproject.com site and get your own blog running in about 5 lines of python. I know you don't want another project, and this wouldn't be completely prepackaged with everything you want, but it's really fun and easy to get up and running, and simple to customize (for those things like threaded comments, spam protection, and pleasant input that a given prepackaged solution won't have all of).
unfortunately, the code that powers thraxil.org isn't really in a releasable state at the moment. there's too much hard-coded in right now and it relies on a few additional "micro-apps" beyond Tasty that haven't been released yet. unfortunate because it covers pretty much all your stated requirements.
it also went through a phase where it stored everything in text files on the filesystem with BDB indices and published statically (making very clever use of apache SSIs) so i know what you're talking about with the issues there. eventually i broke down and rewrote it with SQLObject (against PostgreSQL) and cherrypy serving pages dynamically (but using memcached on a few bottlenecks). currently, i'm porting it to TurboGears and trying to turn it into something that other people might be able to install and use on their servers in the process. don't hold your breath though. i've still got a few issues that i'm not sure how i'm going to solve.
I have a blog with lots of code examples (python, html, css). WordPress + Markdown work for me very good (I actually use an enhanced markdown variant Markdown Extra). It's convinient for both little inline code snippets and for code blocks.
What about squishdot (a ZOPE product)? http://www.squishdot.org/ It runs http://dot.kde.org/
# Mike
If you just want other options, I have a half-finished one called Pliante with about a third of your requirements. It's largely inspired by James Tauber's Leonardo but was a complete rewrite to use my own wiki engine as a complete learning process. And I have a similar quandary - whether to finish it or scrap it.
You should come to Livejournal, stop worrying about writing/maintaining blog software and get busy with your usual hacking.
I use PyBloxsom with the PyMarkdown plugin and I've been very happy. When I had to convert all of my posts out of MT into something else, PyMarkdown was very helpful with formatting, etc. I picked PyBloxsom over Wordpress and others because I realized that I really hated writing posts in a textarea form. I preferred to use my usual editor, and with Markdown, I can do simple formatting without any problem. (I would think this would be a huge plus when trying to post code, which Markdown handles very well.) I use PyBloxsom's static generation feature, so when I'm done editing, I just "build" the site and RSS, indices, etc. are all updated. (And if you do decide to make any changes, the code is compact and in python. And no database!)
If you really want threaded comments, or comments at all, I think it's better to outsource them to a company. Spam filtering is a huge pain, and gets worse the longer you have site. Let someone else handle it.
I've tried Textile, still use MoveableType for GB, and WordPress. They all drove me nuts. Using emacs and a couple of simple shell scripts didn't, and that's the best way forward I think.


{% extends 'email_base.html' %} {% load i18n %} {% block body %}
{% blocktrans with name=user.first_name %}Hi there {{name}}{% endblocktrans %},
{% url 'studygroups_facilitator' as facilitator_url %}{% blocktrans with organizer_name=organizer.first_name %}{{organizer_name}} invited you to join their team. You can respond to the invitation on your dashboard.{% endblocktrans %}
{% trans 'Cheers' %}
P2PU
{% endblock %}


First Debugger and Arcade Windows¶
Let’s start writing our game by opening a window. Along the way, we’ll have our first debugger experience.
Objectives¶
- Run a program under the debugger, instead of directly in Python
- Open a game window with a title and correct size
Steps¶
Change the main block to call a
main
function which uses Arcade to open a window:1 2 3 4 5 6 7 8 9 10
import arcade def main(): arcade.open_window(600, 600, 'Coin Game') arcade.run() if __name__ == '__main__': main()
- Lines 4-6. Create a main function that draws a window and runs the Arcade main loop.
- Line 10. Change the main block to call this main function.
Debug. Click the green arrow on line 9 (the
if __name__
line) and chooseDebug 'game'
.Note
If you are on macOS or Linux, you might get a prompt to install “Cython” extensions. If so…click the link. You’ll get tremendous speedups for debugging.
A new window appears. It’s our “game”!
Close. Close the Arcade window.
Re-run. Click the green arrow again and choose
Debug
again.Terminate. This time, kill the debugging session by clicking the red square in the left of the
Debug
window.Note
If the terminate button turns into a skull, that means the process isn’t really dead yet, so click it again.
What’s Going On¶
We run a program using the debugger. What specifically does that mean?
PyCharm using a tool called
pydevd which manages the running
of code. PyCharm talks to pydevd
which talks to your code, as part of
“debugging”.
What’s up with the Cython part? The pydevd
project provides compiled
extensions for some of the bottlenecks involved in debugging. PyCharm
provides the pre-compiled extensions on Windows, but not on macOS and Linux.
Once compiled for a specific interpreter version, these can be used across
your PyCharm projects.
Just like there are many ways to run your Python code in PyCharm, there are also many ways to start debugging. In recent versions of PyCharm, we put an arrow in the gutter beside a module’s main block.
To finish debugging this game, we can either close the window normally, or tell the debugger to “terminate” the Python process. We will use the latter in most places of the tutorial, to prevent switching windows.


Transport data and commands across the 'FAME' <https://fame.sungard.com/support.html> / 'R' border. A set of utilities for: reading 'FAME' databases into 'R'; writing 'R' data into 'FAME' databases; executing 'FAME' commands in 'R' environment; and, executing 'R' commands from the 'FAME' environment.
| Version: | 0.0.1 |
| Depends: | R (≥ 3.5) |
| Imports: | rhli (≥ 0.0.2), lubridate (≥ 1.7.4), tibble (≥ 1.4.2), methods |
| Suggests: | testthat |
| Published: | 2018-08-30 |
| Author: | Kevin Keane [aut, cre], Qoma LLC [cph] |
| Maintainer: | Kevin Keane <krkeane at qoma.io> |
| BugReports: | https://github.com/qomaio/r-smuggler/issues |
| License: | AGPL |
| URL: | https://github.com/qomaio/r-smuggler/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | qoma.smuggler results |
| Reference manual: | qoma.smuggler.pdf |
| Package source: | qoma.smuggler_0.0.1.tar.gz |
| Windows binaries: | r-devel: qoma.smuggler_0.0.1.zip, r-release: qoma.smuggler_0.0.1.zip, r-oldrel: not available |
| OS X binaries: | r-release: qoma.smuggler_0.0.1.tgz, r-oldrel: not available |
Please use the canonical form https://CRAN.R-project.org/package=qoma.smuggler to link to this page.


Last night I took 25 mg of 2C-B. Having only done 15 mg one previous time nothing could have prepared me for what I was going to see, hear, think, and feel. The climb up was nothing special, the usual disorientation and mild euphoria. All I keep thinking is 'please show me something special'. I kept getting higher and higher and at one point my fear reflex kicked in. How far am I going to go? I closed my eyes and began to see some of the most beautiful patterns morph into living organism.
At first they seemed to have an insect aspect to them, often mutating into butterflies. I'd open my eyes and see lights fractal around the edges. Music once again became multidirectional -- not being able to distinguish where it was coming from I had to just close my eyes and feel it inside of me. Walking became specially difficult as I kept losing my balance. At one point I had to just sit down, close my eyes, put my hands over my face and just experience life to its fullest. My teeth began clenching up very much like with 2C-B's cousin MDMA. I felt a rush of energy that went from my torso to my lower extremeties and out of my body all together. I felt unusually dichotomous -- a part of everything and at the same time detached from everybody else. Besides all the physiological effects I was experiencing, my mind was on overdrive:
ANTHROPOCENTRISM : I looked at a picture with some dead pigs in it and vegetarianism became unprecedentedly obvious. I often read deep ecology literature that talks about the danger of anthropocentrism and the need to adopt an ecocentric approach to Mother Earth. I went beyond all the rhetoric and actually felt like I was the dead pigs on the wall. All of the sudden I understood why vegetarianism is so important and why eating other animals is morally bankrupt. It seems that all that literature that I have filled my brain with became alive. It felt that eating other animals is like eating negative energy. A disrespect to other life forms and an all around bad idea.
DEATH : Energy seems to be a constant theme during my trip. I began thinking about energy and how it can transform and carry on. I began to think of myself as energy and that when I die I too will transform and continue *existing*. This wansn't reincarnation but rather a transfer of sort where my energy will continue on some physical level even if I'm not alive. I found great comfort in this thought and all of the sudden death did not worry me anymore. I was living for a change!!!
GOD/DESS : I was on my back near a lake looking up at the sky. I felt a part of everything and it seemed to me that I could sense energy all around me. Trees, flowers, grass, the water -- they all seem to have an entity of their own. I kept thinking about a supreme being and the entire hierarchical nature of it all. I all of the sudden became filled with a sense of peace and had a realization: God/dess is merely an energy that people can be a part of and become in tune with out the traditional 'I'm not worthy worship mentality'.
ENTHEOGENS : I think that they have already shown me the path and it is now up to me to follow it. I think I got the message and it is not time to hang up the phone.
I was quite wired for at least 7 hours and towards the end of the trip my mind felt a bit confused. I couln't focus on any one though and it was all a bit of an abstract blur.
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.


A convex mesh. More...
#include <PxConvexMesh.h>
Public Member Functions | |
| virtual PX_PHYSX_COMMON_API PxU32 | getNbVertices () const =0 |
| Returns the number of vertices. More... | |
| virtual PX_PHYSX_COMMON_API const PxVec3 * | getVertices () const =0 |
| Returns the vertices. More... | |
| virtual PX_PHYSX_COMMON_API const PxU8 * | getIndexBuffer () const =0 |
| Returns the index buffer. More... | |
| virtual PX_PHYSX_COMMON_API PxU32 | getNbPolygons () const =0 |
| Returns the number of polygons. More... | |
| virtual PX_PHYSX_COMMON_API bool | getPolygonData (PxU32 index, PxHullPolygon &data) const =0 |
| Returns the polygon data. More... | |
| virtual PX_PHYSX_COMMON_API void | release ()=0 |
| Decrements the reference count of a convex mesh and releases it if the new reference count is zero. More... | |
| virtual PX_PHYSX_COMMON_API PxU32 | getReferenceCount () const =0 |
| Returns the reference count of a convex mesh. More... | |
| virtual PX_PHYSX_COMMON_API void | acquireReference ()=0 |
| Acquires a counted reference to a convex mesh. More... | |
| virtual PX_PHYSX_COMMON_API void | getMassInformation (PxReal &mass, PxMat33 &localInertia, PxVec3 &localCenterOfMass) const =0 |
| Returns the mass properties of the mesh assuming unit density. More... | |
| virtual PX_PHYSX_COMMON_API PxBounds3 | getLocalBounds () const =0 |
| Returns the local-space (vertex space) AABB from the convex mesh. More... | |
| virtual PX_PHYSX_COMMON_API const char * | getConcreteTypeName () const |
| Returns string name of dynamic type. More... | |
| virtual PX_PHYSX_COMMON_API bool | isGpuCompatible () const =0 |
| This method decides whether a convex mesh is gpu compatible. If the total number of vertices are more than 64 or any number of vertices in a polygon is more than 32, or convex hull data was not cooked with GPU data enabled during cooking or was loaded from a serialized collection, the convex hull is incompatible with GPU collision detection. Otherwise it is compatible. More... | |
| Public Member Functions inherited from PxBase | |
| template<class T > | |
| T * | is () |
| template<class T > | |
| const T * | is () const |
| PX_FORCE_INLINE PxType | getConcreteType () const |
| Returns concrete type of object. More... | |
| PX_FORCE_INLINE void | setBaseFlag (PxBaseFlag::Enum flag, bool value) |
| Set PxBaseFlag. More... | |
| PX_FORCE_INLINE void | setBaseFlags (PxBaseFlags inFlags) |
| Set PxBaseFlags. More... | |
| PX_FORCE_INLINE PxBaseFlags | getBaseFlags () const |
| Returns PxBaseFlags. More... | |
| virtual bool | isReleasable () const |
| Whether the object is subordinate. More... | |
Protected Member Functions | |
| PX_INLINE | PxConvexMesh (PxType concreteType, PxBaseFlags baseFlags) |
| PX_INLINE | PxConvexMesh (PxBaseFlags baseFlags) |
| virtual PX_PHYSX_COMMON_API | ~PxConvexMesh () |
| virtual PX_PHYSX_COMMON_API bool | isKindOf (const char *name) const |
| Returns whether a given type name matches with the type of this instance. More... | |
| Protected Member Functions inherited from PxBase | |
| PX_INLINE | PxBase (PxType concreteType, PxBaseFlags baseFlags) |
| Constructor setting concrete type and base flags. More... | |
| PX_INLINE | PxBase (PxBaseFlags baseFlags) |
| Deserialization constructor setting base flags. More... | |
| virtual | ~PxBase () |
| Destructor. More... | |
| template<class T > | |
| bool | typeMatch () const |
Additional Inherited Members | |
| Protected Attributes inherited from PxBase | |
| PxType | mConcreteType |
| PxBaseFlags | mBaseFlags |
A convex mesh.
Internally represented as a list of convex polygons. The number of polygons is limited to 256.
To avoid duplicating data when you have several instances of a particular mesh positioned differently, you do not use this class to represent a convex object directly. Instead, you create an instance of this mesh via the PxConvexMeshGeometry and PxShape classes.
To create an instance of this class call PxPhysics::createConvexMesh(), and PxConvexMesh::release() to delete it. This is only possible once you have released all of its PxShape instances.
|
inlineprotected |
|
inlineprotected |
|
inlineprotectedvirtual |
|
pure virtual |
Acquires a counted reference to a convex mesh.
This method increases the reference count of the convex mesh by 1. Decrement the reference count by calling release()
|
inlinevirtual |
Returns string name of dynamic type.
Implements PxBase.
|
pure virtual |
|
pure virtual |
Returns the local-space (vertex space) AABB from the convex mesh.
|
pure virtual |
Returns the mass properties of the mesh assuming unit density.
The following relationship holds between mass and volume:
mass = volume * density
The mass of a unit density mesh is equal to its volume, so this function returns the volume of the mesh.
Similarly, to obtain the localInertia of an identically shaped object with a uniform density of d, simply multiply the localInertia of the unit density mesh by d.
| [out] | mass | The mass of the mesh assuming unit density. |
| [out] | localInertia | The inertia tensor in mesh local space assuming unit density. |
| [out] | localCenterOfMass | Position of center of mass (or centroid) in mesh local space. |
Referenced by PxMassProperties::PxMassProperties().
|
pure virtual |
Returns the number of polygons.
|
pure virtual |
|
pure virtual |
Returns the polygon data.
| [in] | index | Polygon index in [0 ; getNbPolygons()[. |
| [out] | data | Polygon data. |
|
pure virtual |
Returns the reference count of a convex mesh.
At creation, the reference count of the convex mesh is 1. Every shape referencing this convex mesh increments the count by 1. When the reference count reaches 0, and only then, the convex mesh gets destroyed automatically.
|
pure virtual |
|
pure virtual |
This method decides whether a convex mesh is gpu compatible. If the total number of vertices are more than 64 or any number of vertices in a polygon is more than 32, or convex hull data was not cooked with GPU data enabled during cooking or was loaded from a serialized collection, the convex hull is incompatible with GPU collision detection. Otherwise it is compatible.
|
inlineprotectedvirtual |
Returns whether a given type name matches with the type of this instance.
Reimplemented from PxBase.
References PxBase::isKindOf().
|
pure virtual |
Decrements the reference count of a convex mesh and releases it if the new reference count is zero.
Implements PxBase.


DrupalCon Amsterdam 2014
14.5.2014 Lauri Eskola
Currently I work for:
Largest DrupalCon Europe so far with
2300
visitors
Drupal 8 contributors:
2300
This DrupalCon was about:
Changing Lives
Releasing Drupal 8
Funding Drupal Core development
Drupal has changed the lives of many people
webchick,
Jam,
Robert Douglass,
chx
What does it take to release beta?
- 24h code freeze - first try from Sunday midnight
- Monday was beta testing day - we found 4 beta-blockers
- People worked like crazy
- Last beta-blocker was solved during Driesnote!
- 24h code freeze - and Drupal 8 beta was out finally!
What does beta phase mean?
Time to port contribs to Drupal 8
Getting things into core is harder
Time to test & give feedback!
When it will be released?
After all critical issues have been solved we relase RC1
If no new criticals have been discovered Drupal 8 will be released
200 beta-blockers took 9 months
125 critical issues left
with same speed ~7 months for RC1
Never ever base your business on any given Drupal 8 date!
When it will be released?
When can I start using it?
Keep in mind:
- Big contribs might not be ready yet
- Theme layer is still under heavy development
Funding Drupal Core development
Developing Drupal Core needs money
Problem?
People mostly work in their free time - and everyone benefits
Developing Drupal Core takes lot of effort
Solution!
Encourage businesses to "fund" working on core
Why?
Move Drupal faster further - everyone benefits!
Would remove unnecessary burn out from core developers
Social Events
Not always about party! It's about meeting new people!
What brings people to DrupalCon?
Drupal? No
Business or brand? No
Community and social events? Yes
DrupalCon by itsef is huge social event
DrupalCon Latin America
10.-12.2.2015
DrupalCon Los Angeles
11.-15.5.2015
DrupalCon Barcelona
21.-25.9.2015
DrupalCamp Helsinki
24.4-26.4.2015
Drupal code sprints @ Siili
18.10.2014 11.00->


In addition to the task interface, you will also have a training interface on the right side of the screen, shown in the images below.
Within this interface, you will provide students with three kinds of instruction: action approval and task completion approval.
The image below shows an example of a student requesting approval for an action they have taken. When this happens you click one of the buttons in the bottom right to either approve or disapprove of their action. When you approve, the student will be allowed to continue with the task. However, when you disapprove they will have to try a diferent action before they can proceed.
The image below shows an example of a student requestion approval for task completion. If the student has correctly completed the task, then approving them will allow them to move on to the next task scenario. However, if you disapprove then they will have to continue working on the task before they can proceed.
Throughout the training process all interactions with the AI student will be recorded in the training interaction log shown in the images above.


"A magnolia tree lived peacefully in front of Vivianne’s house."
The tree only revealed its beauty through a flurry of pink petals in the spring, but this made spring her favorite season. In autumn, the leaves changed to a golden yellow. She appreciated their glow, but they couldn’t compare to the captivating blossoms she admired. She detested winter, and lacked motivation when the sight outside of her window painted a desolate landscape of bare bark on a white canvas.
She sat curled up in the corner of her bed, her head leaning against the window as she idly drew pictures on the glass. She lazily traced flowers onto empty branches in a dreamlike state until her trance shattered. A weak man stood at her door, his eyes seemed tired and pleading.
“Vivianne, would you like to come down and eat?” he asked, his voice full of fatigue and some other constrained emotion.
“Sure daddy…” Her hand dropped to her lap and it seemed like she made no effort to move. For a moment, she looked like a doll as she sat perfectly still with the winter’s snow reflecting against her skin.
They sat at a small table set for only two. The girl sat there wrapped in a sweater and blanket despite sitting indoors.
Her father cleared his throat and started with, “You have your appointment this weekend… Then maybe after winter break we can enroll you in high school.”
High school? In Vivianne’s mind high school existed far in her future. In her present, she still felt like a child, she had not matured.
“I… That feels… Too soon…” Her small voice protested.
 I don’t feel… Okay yet. I can go in the spring. I can get better then, I promise,” her small voice gained strength as her words gained confidence. Her father sighed and looked off to the wall or possibly a memory that seemed more pleasant than his current circumstance.
Vivianne started school in February, a month before spring. She fixed her ribbon, buttoned her coat, and made her way there with a stomach full of worms and bubbling acid. She unexpectedly made a friend in her first class; a bright spirit named Carrie. Her smiling warmed Vivianne’s cold heart and hands whenever she came in to class. It made Vivianne think of spring and the bubbling in her stomach settled. They decided to walk home together under a cloudy sky.
“You have a magnolia tree?” Carrie asked as they stopped in front of a tiny, crooked house. Vivianne’s head perked up at the observation, “Yeah, it looks a lot prettier when it blooms…” Vivianne thought she would feel excited but she just started to feel sick instead.
“I’d love to see it when it blooms!” Carrie smiled warmly with all the love in her soul and Vivianne felt slightly less sick, as if Carrie had some sort of super power within her.
Vivianne managed a small smile and said goodbye as she made her way inside.
Vivianne felt miserable. She thought she could make it to school today but she ended up not moving from her curled up position against the window.  She kept telling herself that everything would get better in spring; she just had to wait. Truly, she didn’t want spring to come at all. As it got closer to spring, she felt weaker and weaker. Her father appeared at her door, looking less tired and more nervous; he seemed distressed.
 And thank her for stopping by.” He left and Vivianne stayed perfectly still.
He left and Vivianne stayed perfectly still.
Hours later, the front door opened and Carrie sat there on the front steps with a warm expression. Vivianne didn’t expect her to wait for so long in the cold weather.
Carrie just smiled and said, “A magnolia tree doesn’t usually bloom in February right?”
Vivianne didn’t understand but once she saw said tree she gasped. In front of her, she saw the tree in full bloom. Pink petals gracefully fell and landed onto a fresh bed of snow. She ran up to the tree despite her bare feet in the snow.
After a few moments of silence, Vivianne turned to Carrie and said, “My… My mother… she planted this tree for me. She planted it when she turned eighteen. She wanted to plant a tree at a young age so it would grow up by the time she had her first child. It bloomed for the first time when I turned six. It made me so happy… I thought my mother was a fairy or something. But she… died… right before my birthday, so only my father and I saw the tree bloom for the first time.”
Carrie listened closely to her friend and watched her intense gaze on the magnolias. She then saw a small smile appear, as well as a tear falling.
“I guess she couldn’t wait until spring…” Carrie commented quietly. Vivianne paused for a moment but then let out a laugh, even as her tears began to spill.
“Ahaha! Yeah, she couldn’t wait… She wanted to see me…” Vivianne let out the warmest laugh that Carrie had ever heard. What felt like a cold winter day to the rest of the world; felt like the warmest spring day to Vivianne and Carrie.
End
Read other short stories written by Samantha Valentine Jones


debug
This function has nothing to do with step debugging, however it gives you a consistent means to see where something happened and what a value is at a given point in the code
debug "Stopping at this point;$0;$FUNCNAME;$LINENO"
This will give you a nice output like this:
Or if called from within a function:
function my_function() {
debug "Stopping at this point;$0;$FUNCNAME;$LINENO"
}
$FUNCNAME
as shown in both cases, and it will simply be ignored if irrelevent.This example shows how to create a label. By separating your message and label with a single semi-colon, you will get this type of result. Notice the $
is escaped as we want a literal dollar-sign in the label.
debug "$WDIR;\$WDIR"
This will just give you a quick message with default label:
debug "Quick message"
throw
Similar to debug
, yet it stops execution immediately with an exit code of 3.
throw "Aborting at this point;$0;$FUNCNAME;$LINENO"


java.lang.Random
java.lang.Math.random()
In secure environments, java.secure.SecureRandom is a better choice, since is offers cryptographically secure random number generation.
java.secure.SecureRandom
Example:
long token = new Random().nextLong();


What's New in LSDK 17.09-update-103017
Highlights
・ LS1012A r1.0 and r2.0, LS1012A RDB at core frequency 1GHz by default
・ MC upgrade to 10.3.4 to support 1000base-X and SGMII phyless
・ Integration of PPFE driver
・ Integration of CAAM DMA driver
・ Including software fixes for LS2088A secure boot, MC failure to clear memory after use on LS1088A, fixup of MAC address in DPC on LS1088A
Processor and Board Support
・ LS1012A r1.0 and r2.0
・ LS1012A RDB at core frequency 1.0GHz by default
Linux Kernel Core, Virtualization
・ No change since LSDK 17.09
Linux Kernel Drivers
・ LS1012A: Crypto driver supporting SEC 5 (CAAM), CAAM DMA, DDR, DUART, DSPI, eSDHC, I2C, PCIe RC, PFE Ethernet (Packet Rx/Tx), PHY support: RGMII & SGMII, Power management, QSPI, SAI/I2S, SATA, UART, USB 2/3 mass storage, Watchdog
Data Plane Development Kit (DPDK)
・ No change since LSDK 17.09
Virtualization - OVS-DPDK
・ No change since LSDK 17.09
U-Boot Boot Loader
・ LS1012A: Non-secure boot, Secure Boot (silicon r1.0), Clock, CPLD, DDR4, DSPI, eSDHC, I2C, Generic Timers, PCIe, Primary Protected Application (PPA) firmware integration, QSPI, SATA, UART
Unified Extensible Firmware Interface (UEFI)
・ No change since LSDK 17.09
Other Tools and Utilities
・ MC upgrade to 10.3.4 to support 1000base-X
Flexbuild
・ Supporting multiple versions of docker image


Quick links
Home
Tech Path
Blog
Internship
About
Contact
Resources
Disclaimer
Reports
About the company
Bringing all the Career Paths in various fields and learning courses under one roof.
All Rights Reversed ©
The Uplift Project


Acetaminophen
Acetaminophen is a pain reliever and a fever reducer.
How should I take acetaminophen?
->Adults and teenagers who weigh at least 110 pounds (50 kilograms): Do not take more than 1000 milligrams (mg) at one time. Do not take more than 4000 mg in 24 hours.
->Children younger than 12 years old: Do not take more than 5 doses of acetaminophen in 24 hours. Use only the number of milligrams per dose that is recommended for the child's weight and age. Use exactly as directed on the label.
->Avoid also using other medicines that contain acetaminophen, or you could have a fatal overdose.
Side effects
The most common side effects of acetaminophen include:
nausea and vomiting;
headache; or
insomnia


Introduction
A Prototype is like a Product blueprint, useful for helping you add a group of similar new products to your store more quickly. The general procedure is that you create a Prototype which is associated with certain Option Types and Properties; then you create products based on that Prototype, and only need to fill in the values for those Option Types and Properties.
Imagine that you’ve just received a new shipment of picture frames from your supplier. Your new stock encompasses a variety of brands, sizes, colors, and materials, but they are all basically the same type of product. This is a prime use case for prototypes.
This guide presumes you have already created the Option Types and Properties you need for your new prototype. If you haven’t, you should do that first before proceeding.
Creating a Prototype
To create a prototype, go to the Admin Interface and click “Products”, then “Prototypes”. Click the “New Prototype” button.
Input a value for the “Name” field (such as “Picture Frames”), and choose the properties and options you want to associate with this type of product.
Click the “Create” button. You should now see your new prototype in the “Prototypes” list.
Using a Prototype to Create Products
To create a new product based on the new prototype, click “Products” from the Admin Interface, then click the “New Product” button. Select “Picture Frames” from the “Prototypes” drop-down menu.
When you do so, the Spree system shows you values for both of the Option Types you entered, so that it can automatically create Product Variants for you for each of them.
Let’s create the Product and all Variants for the fictional “Hinkledink Picture Frame” product. Input the product’s Name, SKU, a Master Price (remember, you can change this for each variant), and make sure to set the Available On date to today, so it will show up in your store. Check the boxes for the options this particular product has, and click “Create”.
Clicking the box next to an Option Type title will automatically check all of its Option Values for you.
Proceed with creating the product as you would normally, adding any missing fields not supplied by the prototype.
Be sure to update each of the Variants with corresponding images, SKUs, and - if applicable - correct pricing.


WebSiteName
Log In
Settings
Day
Calendar
Goals
Goal
Date of Goal
Cost of Goal
Buy FIFA 2017
March/28/2017
$60
Dinner at Carmines
March/28/2017
$30
Watch Boss Baby Opening Night
March/31/2017
$15
Easter Gift for Grandma
April/1/2017
$30
New Laptop
June/1/2017
$600
Settings
Account Id
Choose a daily budget number! (We recommend 40% of daily income)
Set Goal
Set Goals
What do you want to buy?
How much does it cost?
By When?
Log In / Register
Username
Password


This visualization uses martini glass structure which takes the user through the Dataset of the Google Review Analysis in the year of 2019 . The dataset itself aggregates user rating for more than 10,000 Applications from the Google Play Store. However, due to the consideration of loading time, this analysis filter the data to the size of 2,000. This visualization focuses on the Content Rating applied to different age groups. Inp articular, they are 18+, 15+, 7+(mature) and everyone(all-age).
The pattern will investigate some tangent that you might be interested in, in our case, they will be the relayionship between content rating and rate score as well as content rating verses installation numbers. Users have the freedom to choose just to continue on if you're not interested in the details of that slide.
With such a large dataset, creating a visualization with the raw data turned out to be very difficult. The first step for created this visualization was to process the dataset and focus on the data pertaining restaurants in the United States only.
To facilitate a cohesive and smooth look for the interactive visualization, the transition is implemented to capture users' scroll activities . Additionally there is a page navigation bar to help user navigate between different pages. With mose hover on the navigation dots, the user can see the title of all pages alter alters the display sequence. This helps user better understanding the thinking pattern from the author.
Annotations have been used in all visualizations with a generic css pattern to annotate key findings. For example, user might get lost when looking through the overview bubble chart becuase the size of data is overwhelming. Then in between of each user activities, such like clicking buttons, the annotation which the author wants to convey will pop up on the screen to remind the user what the problem is. Certainly, the annotation will disappear when user is performing the next activity.
Both parameters and triggers are used in all visualizations. For the Bubble Chart Visualization, parameters for the x,y co-ordinates of each bubble are set to an initial central position for the All Reviews Visualization. As a user selects menu items to chose between All Reviews, Reviews by State and Reviews by Stars, it triggers the change of bubble’s x,y co-ordinates parameter to their respective groupings.
In the bar chart presentation, to help user partition the dataset and narrow down to the specific group of users, These parameters are triggered to be updated as mouseover tooltips as well as the dropdown selection for free and paid Apps. This can provide the user with a snapshot of the amount of installations for a given group. Meanwhile, the sort bar will help the user to view all the bars in a sequence if they need to.
The dataset was provided by researches regarding Google Analytics performed on 2019. The dataset gathered a list of applications published to Google Play Store in a wide range of categories. Fields include their ratings, names, the size of the Apk packages and others. The following analysis will use those attributes to group data and display charts
Assumptions are made in the positive correlation between the number of installs and the popularity of a application. This is then tied with the assumption of the positive correlation between number of downloads and the popularity of a business. By focusing on application published in Google store which have large number of installs, and high score rating, we will be able to understand what kinds of applications are trending in Android world.
The high-level overall view shows that there is a negative correlation between the number of published application verses the level of content restriction. In other words, as the application is available to a wider range of users in different ages, then the restriction is more linient, thus there are more author publishing to the Google Play Store
As the distribution shows regarding customer rating (sclred from 1 to 5), as the application is more restricted to mature people, the average customer rating tends to be lower. On the contrary side, when the application contains fewer restrited content, the review is less controversial and most people opt to rate 3 or 4 stars
As we partition the number of free applications and the number of paid applications, such as the seperation in Google Play Store, we found that there are more applications with age restriction. In particular, most of the free application are welcomed to all age people, while the proportion of age restricted applications takes a greater occupation for paid Apps in terms of number of isntallations


Arsenal 2-2 Southampton: Lacazette double spares Emery's blushes
by Sports DeskAlexandre Lacazette scored deep in stoppage-time to rescue Arsenal a 2-2 draw at the end of a disjointed performance against struggling Southampton.
James Ward-Prowse looked to have scored the winning goal on his 250th appearance for Southampton as his side sensed a first Premier League victory in eight games might have been in the offing.
Unai Emery's men gave supporters precious little cause to believe they have the right coach in place to turn their fortunes around and Danny Ings' second goal in as many games gave a gung-ho Saints side the lead after just eight minutes at Emirates Stadium.
Lacazette - one of few Gunners players to come out of this game with any credit - took advantage of Southampton's rickety defence to fire in an equaliser after 18 minutes but thereafter the hosts were sloppy in attack and ragged at the back.
Ward-Prowse stepped up to take a penalty with 19 minutes left on the clock and buried the rebound after Bernd Leno saved his spot-kick, only for Lacazette to level from close range 96 minutes into a contest his below-par team-mates will want to forget.


There is a reproducibility crisis in psychology.
Outright fraud is rare. Soft forms of bad practice are the bigger problem.
Most scientists are honest, but soft forms of bad practice emerge through self-deception or lack of awareness.
The problem is worse in medical research, but that is no excuse for psychologists to resist reforms.
Lists of new regulations are fine, but the core issue is that career incentive structures are not always aligned with truth discovery.
Some data outcomes are rewarded more than other data outcomes. This is bad.
Journals have little incentive to change this incentive structure themselves.
But granting agencies can help, by increasing the grant award probability to scientists who submit to good practice journals. Can someone at NIH/NSF please do something about this?
If you have comments, they might already be addressed in my FAQ.


Home
Name
Email
Email exists on another account
Garbage email
Password
mobile
Garbage Mobile
dept
credit
role
STUDENT
TEACHER
ADMIN
routine


[1]
PQ outstanding, easy setup; No Dolby TrueHD
[2]
Easy set up, GREAT PICTURE; None yet...still looking
[3]
Blu-Ray PQ, Menu System,; Upconversion of standard DVDs. Speed of loading java-enabled blu-ray discs


ArtsourceHub.com is a video game industry resource, focused on providing an easily searchable database that allows developers and publishers to identify external service companies that they might be interested in working with.
This map was made possible through the extensive use of a number of open source projects:
Removing a Company from the Map is serios business.
Are you sure you want to Delete the Company from the Map?
Click on the Go! button below to get started.
Navigate to your desired location and click on the map to drop a marker. Fill in the required information and Submit.
Thanks for your contribution to the Map!


Introduction¶
Read the Documentation¶
Before you start reading this manual, you should have read the behave documentation to understand how behave works.
Given, When, Then¶
You should understand the BDD concepts.
Feature: Title (one line describing the story/feature)
As a [role]
I want [feature]
So that [benefit]
Scenario: Title1 (for Behaviour 1)
Given [context or setup]
And [some more context]...
When [event occurs]
Then [expected outcome]
And [another outcome]...
Scenario: Title2 (for Behaviour 2)
...
Select an Assertion Matcher Library¶
Before you start to use behave (or any other BDD framework) you should select an assertion matcher library that you want to use in your project.
Python has a growing number of assertion matcher libraries by now. Here is the list of some of these:
Matcher Library |
Description |
|---|---|
Native assert |
Starting point, but not enough information when assert fails. |
First assertion matcher library, now part of JUnit4. Supports several programming languages: github:/hamcrest/PyHamcrest |
|
Enables pytest assertions in behave: (old repo: github:/ribozz/behave-pytest currently not usable) |
|
Part of the nose test framework |
|
An interesting small matcher library, https://pypi.org/project/should_dsl |
|
Provided by the maker of lettuce, github:/gabrielfalcao/sure |
|
Note
hamcrest is used as assertion matcher library in the examples presented here.


my Facebook
my Twitter
my Github
my Blog
Profile of Clovis Fritzen
Info about Clovis Fritzen, Brazilian electronics DIY/maker
Home
Who am I
Education
Current work
Previous work
Support My Work
My Blog
test
Here is some CC-free music. Play it! >>
FritzenLab
Tweets by TheFritzenMaker
Developed by
Clovis Fritzen
in 07/2017, using HTML + CSS + Javascript and hosted on this
GitHub


TIFFMEDIAN
Section: User Commands (1)Updated: November 2, 2005
Index Return to Main Contents
NAME
tiffmedian - apply the median cut algorithm to data in a TIFF fileSYNOPSIS
tiffmedian [ options ] input.tif output.tifDESCRIPTION
tiffmedian applies the median cut algorithm to an RGB image in input.tif to generate a palette image that is written to output.tif. The generated colormap has, by default, 256 entries. The image data is quantized by mapping each pixel to the closest color values in the colormap.OPTIONS
- -c
- Specify the compression to use for data written to the output file: none for no compression, packbits for PackBits compression, lzw for Lempel-Ziv & Welch compression, and zip for Deflate compression. By default tiffmedian will compress data according to the value of the Compression tag found in the source file.
- LZW compression can be specified together with a predictor value. A predictor value of 2 causes each scanline of the output image to undergo horizontal differencing before it is encoded; a value of 1 forces each scanline to be encoded without differencing. LZW-specific options are specified by appending a ``:''-separated list to the ``lzw'' option; e.g. -c lzw:2 for LZW compression with horizontal differencing.
- -C
- Specify the number of entries to use in the generated colormap. By default all 256 entries/colors are used.
- -f
- Apply Floyd-Steinberg dithering before selecting a colormap entry.
- -r
- Specify the number of rows (scanlines) in each strip of data written to the output file. By default, tiffmedian attempts to set the rows/strip that no more than 8 kilobytes of data appear in a strip.
NOTES
This program is derived from Paul Heckbert's median program.SEE ALSO
pal2rgb(1), tiffinfo(1), tiffcp(1), tiffcmp(1), libtiff(3TIFF)Color Image Quantization for Frame Buffer Display, Paul Heckbert, SIGGRAPH proceedings, 1982, pp. 297-307.
Libtiff library home page: http://www.remotesensing.org/libtiff/
Index
This document was created by man2html, using the manual pages.
Time: 05:29:11 GMT, December 24, 2015


lab04 : Binary Search Tree
| num | ready? | description | assigned | due |
|---|---|---|---|---|
| lab04 | true | Binary Search Tree | Tue 05/08 11:00AM | Mon 05/21 11:59PM |
Goals for this lab
By the time you have completed this lab, you should be able to
- Know how to navigate a binary tree data structure
- Implement recursive functions for binary trees
- Implement binary search tree functions
Step by Step Instructions
Step 1: Create a git repo and get the starter code
First get together with your lab partner. If your regular partner is more than 5 minutes late, let your mentor know.
Select a pilot, log into the CSIL machines.
Step 1a: Create a git repo, add your partner as collaborator
-
Create a repo for this lab on the pilot’s github account (just like you did in lab00): To do this, open a browser and navigate to www.github.com. Log into the pilot’s github account. From the drop down menu on the left, select our class organization: ucsb-cs24-w18 and proceed to create a new repo. You may refer to the instructions in lab00. Follow this naming convention: If your github username is jgaucho and your partner’s is alily, your should name your repo lab08_agaucho_alily (usernames appear in alphabetical order). Also you must set the visibity of your repo to be ‘PRIVATE’ when creating it. We will not repeat these instructions in subsequent labs.
-
The pilot should add the navigator as a collaborator on github, and the navigator should accept the request to join the repo. See instructions in previous labs
Step 1b: Clone your gitrepo and get the starter code
- Clone your repo in your cs24 directory on CSIL. If your repo is called lab04_jgaucho_alily, type the following commands:
cd ~/cs24
git clone git@github.com:ucsb-cs24-s18/lab04_jgaucho_alily.git
Now navigate to your starter-code directory (cloned in a previous lab) and do a git pull to get the latest version of the code
cd ~/cs24/cs24-s18-starter-code/
git pull
cd ~/cs24/lab04_jgauch_alily/
There are three required files to copy from the class account this week. Get them all at once:
Verify you got all the files and try to compile them as follows:
-bash-4.3$ ls
intbst.cpp intbst.h testbst.cpp
The first thing you should do is create a simple Makefile that compiles intbst.cpp and testbst.cpp.
A binary search tree class for integers, class IntBST is defined in intbst.h - please study this file for details of the class’s features:
The constructor, destructor, insert method and pre-order print method are already implemented in intbst.cpp. Notice the insert method will return false to indicate an attempt to insert a duplicate value; otherwise it inserts the value and returns true. In Step 2, you will implement the other two print methods, in-order and post-order. In Step 3 you will implement the sum, count and contains methods. In Step 4, you will implement the predecessor, successor, and remove methods. Step 4 will likely take you the most time BY FAR, so plan accordingly. The binary tree node structure is defined in the private area. The only instance variable is a node pointer, to point at the root node of the tree or at 0 if the tree is empty. Several utility functions are declared in the private area too. These functions can be recursive (by virtue of their Node* parameters), and the public methods may choose to use them or not. See how the destructor uses clear, for example, and the insert method uses the overloaded version of insert, each by passing the root pointer to the corresponding utility function. Also take note of the definition of getNodeFor, which will be useful in several of the functions you need to implement. Consider implementing this function immediately after the print functions, and think about where you can reuse it.
Step 2: Implement in-order and post-order binary tree printing
You should be able to run testbst now (assuming you compiled it in Step 2): ``` -bash-4.3$ ./testbst Choice of tests: 0. all tests 1. just printInOrder 2. just printPostOrder 3. just sum 4. just count 5. just contains Enter choice: 0 BST: pre-order: 64 8 4 32 16 128 512 256 in-order: post-order: sum: 0 count: 0 contains 64? Y contains 4? Y contains 16? Y contains 128? Y contains 17? N contains 512? Y . . . Empty BST: pre-order: in-order: post-order: sum: 0 count: 0 contains 16? N
Note that just the pre-order print is complete (and the sum, count and contains methods aren't working either).
Use an editor (e.g., emacs) to make the following changes to intbst.cpp - do not change any of the other files.
Fix the comment at the top to show your name(s) and the date.
Scroll to the print functions (starting line 60). See how the public method just passes the root pointer to the private function in each case. Implement the private functions, printInOrder and printPostOrder.
Save, and then test your print implementations: compile and execute testbst again, choosing either all tests or just one of your print functions to test.
Here are the correct results (abbreviated to show just the print orders):
BST:
pre-order: 64 8 4 32 16 128 512 256
in-order: 4 8 16 32 64 128 256 512
post-order: 4 16 32 8 256 512 128 64
By the way, you should be able to draw the tree now, both by tracing the order of the inserts, or by interpreting the three orders above. Take a minute to try that now on a piece of scratch paper since it may be very helpful when implementing the remaining functions.
# Step 3: Implement three more binary search tree functions
First: switch roles between pilot and navigator if you did not already do that.
You may do these tasks in any order. Check the results of each part as you complete it.
Implement the helper function for sum() - notice the public method just returns the result of the helper function. We suggest you use recursion to do so. Think about these questions before starting to code: What's the base case? What should be returned in the base case? What should be returned in the general (recursive) case?
Implement the helper function for count() - this is very similar to the sum() function.
Implement the public contains method, either recursively or iteratively - both are about the same level of difficulty in this case. If you decide to use recursion, you can use getNodeFor() in your implementation of contains(). You won't need this utility function to solve the problem iteratively. In either case, remember the tree is a binary search tree, and so your solution should run in O(log n) time.
Here are the results of all tests from our solution - you should verify that your results match:
BST: pre-order: 64 8 4 32 16 128 512 256 in-order: 4 8 16 32 64 128 256 512 post-order: 4 16 32 8 256 512 128 64 sum: 1020 count: 8 contains 64? Y contains 4? Y contains 16? Y contains 128? Y contains 17? N contains 512? Y . . . Empty BST: pre-order: in-order: post-order: sum: 0 count: 0 contains 16? N ```
Be aware, however, that more rigorous testing will be done when your work is submitted (a different program is used for testing your functions, some with random data).
Step 4: Implement predecessor, successor, and remove
Your final task for this lab is to implement getPredecessor(), getSuccessor(), and remove(). The predecessor of a value is the next lowest value, while the successor is the next highest. Note that these functions should be implemented using the inherent structure of the binary tree, not by an exhaustive search for the next value. It will very likely be helpful to draw out the tree (the pre-order print can help you with this) when understanding how to implement getPredecessor() and getSuccessor(). If the element passed to the function is the first (for predecessor) or last (for successor) element in the tree, the function should return 0. It should also return 0 if the value is not present in the tree. Both of these functions will likely be harder to implement than any of the prior functions in this lab. However, correct implementations of getPredecessor() and getSuccessor look VERY similar, so you will likely be able to reuse a lot of your logic.
Finally, move on to remove(), which is likely the hardest algorithm you will be asked to implement this quarter. It is not excessively complicated in principle, but getting it completely right can take a while. Consider switching off pilot and navigator as you are debugging your implementation. You will probably find it helpful to use either getPredecessor() or getSuccessor() in remove(). You can also use remove() inside of itself, though it should NOT be a recursive function–the difference being that only one additional call of remove() should EVER occur. As with predecessors and successors, drawing the tree will be very helpful.
A correct implementation of all functions should produce the following output from testbst when selecting option 0:
BST:
pre-order: 64 8 4 32 16 128 512 256
in-order: 4 8 16 32 64 128 256 512
post-order: 4 16 32 8 256 512 128 64
sum: 1020
count: 8
contains 64? Y
contains 4? Y
contains 16? Y
contains 128? Y
contains 17? N
contains 512? Y
predecessor of 64 is: 32
predecessor of 512 is: 256
predecessor of 4 is: 0
successor of 64 is: 128
successor of 512 is: 0
successor of 4 is: 8
removing 4
removing 64
removing 128
contains 64? N
contains 4? N
contains 16? Y
contains 128? N
contains 17? N
contains 512? Y
pre-order: 256 8 32 16 512
Empty BST:
pre-order:
in-order:
post-order:
sum: 0
count: 0
contains 16? N
Step 5: Submit your revised intbst.cpp and intbst.h
You are allowed to modify intbst.h, though you should not need to, so submit both intbst.cpp and intbst.h to Gradescope for a grade out of 100.
Optional Extra Challenge
AFTER you have completed the main lab, you may modify it for extra credit by converting your BST to a generic data structure. For convenience, we will not change any of the file or data structure names, but your structure should be useable as IntBST
Note that you should implement a generic type in separate .template or .cpp file and include it in your header file as #include “intbst.template” or #include “intbst.cpp”. You may alternatively move the implementation to your header file, although that is not recommended. Submit files: intbst.*


A special thanks to Death to the Stock Photo for providing the photographs that you see in this template. Visit their website to become a member.
3D Device Mockups by PSDCovers
Turn your 2D designs into high quality, 3D product shots in seconds using free Photoshop actions by PSDCovers! Visit their website to download some of their awesome, free photoshop actions!


KUWK: Kim Kardashian Posts The Cutest Pic Of Chicago And Psalm Snuggling Together – Check It Out!
by Ashley MitchellThe proud mother of four took to social media to share the sweetest pic ever featuring her two newest additions to the family! Kim Kardashian and Kanye West’s one year old daughter Chicago and her baby brother, Psalm, 6 months, can be seen snuggling together on the carpet and it’s too cute for words!
Obviously, Kim was just as touched by the sight as all of her followers, even though the KUWK star probably gets to see the siblings do cute things together all the time.
That being said, in the snap’s caption, Kim wrote: ‘My heart.’
It’s safe to say that Kimye have managed to make the most gorgeous kids ever and the comment section under the post was simply filled with people telling them the same thing and just generally gushing over the cute little angels.
Here are a few of the sweet comments from fans: ‘What little cuties.’ / ‘Cutest kids ever.’ / ‘Future best friends.’ / ‘Omg. Psalm looks just like your dad!!!’ / ‘Precious babies. ‘ / ‘ Amazing bundles of joy every day and holidays, God is good Kim Kardashian.’ / ‘Adorable babies!. All your children are truly gorgeous.’ / ‘Seriously, you need to make more. Such beautiful angels.’
Speaking of making more, it’s not a hundred percent out of the question even though Kim has made it clear that she’s done adding to their already big family.
One source previously told HollywoodLife that ‘Kanye mentioned he wants seven. It is not causing any arguments between the two, as Kim realizes that she might change her mind in the future and want to have more.’
If they do decide to have more, the insider mentioned they would most likely get another surrogate or even adopt!


--- title: IDE tagline: JBang IDE Support permalink: /ide/ layout: splash excerpt: "The following IDE's today have support for JBang via a plugin - no additional setup needed!" ---
VSCodium is a community-driven, freely-licensed binary distribution of Microsoft's editor Visual Studio Code. Providing all the lightweight editor features you need to get started.
jbang edit
will by defaut install VSCodium; a free distribution of Visual Studio Code. It provides
a good default set of extensions to have it configured to use with Java/JBang.
JBang is in Open VSX Registry
Visual Studio code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux.
JBang is on Visual Studio Marketplace
IntelliJ IDEA is a very popular Java IDE. Has a lot of features; especially when it comes to refactoring and code assists.
JBang is on Jetbrains Marketplace
Eclipse is a popular opensource Java IDE. Has a large ecosystem of plugins and is 100% free to use.
JBang is on Eclipse Marketplace
repl.it is a free, online code editor that makes it easy to code, compile, run, and share in 50+ programming languages.
JBang template for Repl.it
GitPod is a free online IDE that allows you to create a dev environment for any GitHub repository.
JBang container template for GitPod
JDoodle is a free online compiler, IDE and execution environment for Java, C, C++, PHP, Perl, Python, Ruby and many more.
Try JBang on JDoodle


{% extends "basic_base.html" %} {% block content %}
We encountered problems verifying your identification document. Please try again.