The best Boots gift sets to buy on Black Friday 2019
by Jessica LindsayHave you done your Christmas shopping yet?
If not, don’t panic, as you might have actually made a great tactical decision.
Black Friday is Friday 29 November, which means there will be plenty of bargains to be had.
Boots is one shop that really brings out the big guns, specifically when it comes to gifting.
Grab your presents in one fell swoop on Black Friday, and then it’s just the wrapping left to do. Of course, we won’t tell if you end up just splurging on gifts for yourself.
Liz Earle
Liz Earle products are fairly iconic, and make a great gift for anyone from the skincare newbie to your fussy mum.
On sale this year is their Cleanse & Shine Collection, which goes from £78 to £46 from 20 Nov to 3 Dec.
This one is exclusive to Boots, and is a great price for all the classics from the range. In the set is:
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- Cleanse & Polish Hot Cloth Cleanser 100ml
- Instant Boost Skin Tonic 200ml
- Botanical Shine Shampoo for normal hair 200ml
- Botanical Shine Conditioner for normal hair 200ml
- Nourishing Botanical Body Cream 200ml
- Two Pure Cotton Cloths
Botanics
For winter skin that needs a boost, the Botanics Organic range is a saviour.
The price will be slashed to £24.50 from £49.95 between 20 Nov to 4 Dec.
In the kit, you get two oils, a day cream, a cleansing balm, and a general use balm.
No7
There are two gift sets with Black Friday discounts in Boots this year.
The first is their Star Gift which is worth £87, normally priced at £50, but you’ll get it for just £25 between 20 November and 3 December.
The Beauty Wardrobe gift set contains:
- The full 360 mascara (7ml)
- Stay Perfect liquid liner in black (1.7g, full-size)
- Stay Perfect eyeshadows in ‘Wheatsheaf’, ‘Beach Shine’ & ‘Mink’ (3 x 1.9g, full-size)
- Matte liquid lips in ‘Conquer’ & ‘Grace’ (2 x 4ml, full-size)
- Shimmer palette in ‘Rose’ (10g, full-size)
- Limited edition eye contour brush
There’s also an exclusive Black Friday gift set, which is worth £104, but will be on sale for £35.
- Stay Perfect eyeshadow trio in ‘Sugar Plum’ (3g, full-size)
- Stay Perfect amazing eyes pencil (full-size)
- Matte liquid lips in ‘Freedom’ (4ml, full-size)
- Airbrush away primer (30ml, full-size)
- Radiant Results revitalising toning water (200ml, full-size)
- Radiant Results revitalising eye make-up remover (100ml, full-size)
- Radiant Results nourishing melting gel cleanser (150ml, full-size)
- Lash Impact lash primer (7ml, full-size)
- Voucher for a free Match made bronzer (choose from ‘Caramel’, ‘Golden Sand’ or ‘Maple’)
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Sleek MakeUP
From Sleek, there are also two gift sets for makeup fanatics.
The Experimenter Kit was £50.00 and is down to £25.00 from now until 3 December. It contains:
- i-Divine Palette in All Night Long
- Black Utopia Mascara
- Fierce Felt Liner in Zodiac Black
- Highlighting Palette in Lightspeed
- Lifeproof Metallic Liner in Uncontrollable
For fans of advent calendars, the New Day, New Attitude one is pretty mega. For just £26.66 (down from £40) you’ll get all of this:
- Lip Dose Soft Matte Lipclick Controversy 1.16g
- I-Divine Eyeshadow Palette Storm 2.4g
- I-Divine Eyeshadow Palette All Night Long 2.4g
- Lip Shotgloss Impact Behind Closed Doors 4ml
- Lip Shotgloss Impact Brutal Honesty 4ml
- Lip Shotgloss Impact Corrupted 4ml
- Matte Me Lip Cream That’S So Fetch 3ml
- Matte Me Lip Cream Roasted Almond 3ml
- Matte Me Lip Cream Velvet Slipper 6ml
- Matte Me Metallic Lip Cream Platinised Plum 3ml
- Matte Me Metallic Lip Cream Electroplated Nude 3ml
- Black Utopia Volumising Mascara 9ml
- Dip It Eyeliner Black 4ml 0.13
- Glitter Eyeliner Steel 4ml 0.13
- Glitter Eyelinergold 4ml 0.13
- Blush Rosegold 6g
- Blush Pomegranate 6g
- Loose Pigment Trance 1.9g
- Shatteredglassglitter Effect Lip Topper Bad Moon 1.5ml
- Shatteredglassglitter Effect Lip Topper Usual Tricks 1.5ml
- Lip Laminate Chaos 9ml
- Lip Laminate Extra Sauce 9ml
- Lip Brush
- Eye Shadow Brush
The Ted Baker sets from Boots are always packaged beautifully, and this year’s offering is no different.
The Harmony Set is currently half price – down from £50 to £25 – and contains:
- Peony Spritz Body Lotion 250ml
- Floral Bliss Body Lotion 250ml
- Peony Spritz Body Wash 300ml
- Midnight Bloom Shimmer Body Wash 200ml
- Floral Bliss Body Wash 300ml
- Floral Bliss Body Soufflé 50ml
- Peony Spritz Body Soufflé 50ml
- Opulent Crush Face Sheet Mask 25g
- Floral Bliss Face Sheet Mask 25g
- Opulent Crush In-Shower Body Lotion 250ml
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Jack Wills
Not only does this gift set have loads of all-important smellies, it also comes with a gym bag, so if perfect for the active person in your house.
At £22.50, down from £45, it’s also a proper steal.
For £44.99 (compared to the original price of £100) you’ll get everything you need for before and after tanning:
- Fabulous Self Tanning Gradual Lotion 200ml
- Body Blur HD Skin Finish Latte 100ml
- Phenomenal 2-3 Week Tan Mousse Medium 125ml
- Phenomenal Organic Tan Infused Cloth 8 x 9ml.
- Moisture Boost Body Treatment
- Super Fine Skin polish 175ml
- Super Soft Tanning Mitt
Benefit
Containing four of Benefit’s top sellers, this gift set comes in the cute packaging you’d expect from the brand.
It’s down to £32.50 but usually costs £80.50, so is quite the saving. Here’s what you get:
- BADgal BANG! BIGGER, BADDER volumizing mascara in intense pitch black – full-size
- Gimme Brow+ brow-volumizing fiber gel in shade 3 – full-size
- Cookie golden pearl super-silky highlighter – full-size
- The POREfessional: Pearl Primer soft-radiance face primer to minimize the look of pores – mini
- FREE travel-size makeup bag
- V.I.P. pass for a makeupper and voucher for 500 advantage card points
Advertisement
Clinique
The Clinique Big Genius Little Genius Set is going to be half price from 29 November to 3 December/.
Normally £62, it’ll be priced at £31 and contains full size Dramatically Different moisturisers, in both mini and maxi format.
Grow Gorgeous
This exclusive gift set will be available from 29 November to 3 December, so keep your eyes pealed.
It’s worth £74, but will be available for £37.50, and contains products from the Intense range, designed to get your hair looking like Rapunzel’s in no time.
Real Techniques
This isn’t strictly Black Friday, but is a really great deal. Cyber Monday – Black Friday’s little internet-obsessed cousin – sees discounts through the full Real Techniques range.
Not just any discounts either. You can get 50% off the full range, for one day only on Boots.com.
Set your clocks for Monday 2 December. It’s going to be good.


| GEOS SDK TechDocs
|
| 5 Glue
| 7 Grev
Goc is the GEOS C preprocessor, which will turn your .goc file into something a regular C compiler can understand. It will traverse the .goc file, detect Goc keywords (e.g. @class, @object), turn these keywords into appropriate pieces of code, and write the resulting file out to a .c file. Note that Goc acts as a simple filter, and will only make changes where it detects Goc constructs; it won't touch your regular C code at all.
Under normal circumstances, you will not invoke Goc directly. Instead,
pmake
will make calls to Goc when compiling .goc files.
If for some reason you do need to invoke Goc directly, you may wish to know about its command line arguments:
goc @file
goc [args] <file>
-
@
file
- Command-line arguments are stored in a file--Goc will read this file and treat the contents as its arguments. If you use this option, then all the arguments must be in the file--no others may appear on the command line itself.
-
-
- Redirect output to standard out.
-
-C
segment
- Specify segment for class structures to reside.
-
-D
macro
- Set variable macro to one (e.g. "-D__GEOS__")
-
-D
macro
=
value
-
Set variable macro to value.
-
-I
dir
- Specify additional include directory
-
-I-
- Turn off relative inclusion.
-
-L
name
- Specify name of library being compiled. Must match argument to @deflib Goc keyword in library's .goh file, if it has one.
-
-M
- Help
pmake
generate dependency information.
-
-cb
- Generate information for Borland compiler.
-
-d
- Turn on all debugging information.
-
-dd
- Output @default debugging information. (See the GOC Language chapter
to find out what @default means).
-
-dl
- Output lexical analyzer debugging information.
-
-dm
- Output message parameter definition debugging information.
-
-ds
- Output symbolic debugging information.
-
-du
- Output Goc-specific debugging information.
-
-dy
- Output parser debugging information.
-
-l
- Do localization work.
-
-o
file
- Specify name of output file.
-
-p
- For Geoworks use only.
-
-X
- Ignore @optimize flags
| GEOS SDK TechDocs
|
| 5 Glue
| 7 Grev


{% load static %}
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The Design of the Book
In early 2000, Frank Willison, then Editor-in-Chief of
O'Reilly & Associates, contacted me (David
Ascher) to find out if I wanted to write a book. Frank had been the
editor for Learning Python, which I cowrote with
Mark Lutz. Since I had just taken a job at what was then considered a
Perl shop (ActiveState), I didn't have the bandwidth
necessary to write another book, and plans for the project were
gently shelved. Periodically, however, Frank would send me an email
or chat with me at a conference regarding some of the book topics we
had discussed. One of Frank's ideas was to create a
Python Cookbook, based on the concept first used
by Tom Christiansen and Nathan Torkington with the Perl
Cookbook. Frank wanted to replicate the success of the
Perl Cookbook, but he wanted a broader set of
people to provide input. He thought that, much as in a real cookbook,
a larger set of authors would provide for a greater range of tastes.
The quality, in his vision, would be ensured by the oversight of a
technical editor, combined with
O'Reilly's editorial review
process.
Frank and Dick Hardt, ActiveState's CEO, realized
that Frank's goal could be combined with
ActiveState's goal of creating a community site for
open source programmers, called the ActiveState
Programmer's Network (ASPN). ActiveState had a
popular web site, with the infrastructure required to host a wide
variety of content, but it wasn't in the business of
creating original content. ActiveState always felt that the open
source communities were the best sources of accurate and up-to-date
content, even if sometimes that content was hard to find.
The O'Reilly and ActiveState teams quickly realized
that the two goals were aligned and that a joint venture would be the
best way to achieve the following key objectives:
Creating an online repository of Python recipes by Python programmers
for Python programmers Publishing a book containing the best of those recipes, accompanied
by overviews and background material written by key Python figures Learning what it would take to create a book with a different
authoring model
At the same time, two other activities were happening. First, those
of us at ActiveState, including Paul Prescod, were actively looking
for "stars" to join
ActiveState's development team. One of the
candidates being recruited was the famous (but unknown to us, at the
time) Alex Martelli. Alex was famous because of his numerous and
exhaustive postings on the Python mailing list, where he exhibited an
unending patience for explaining Python's subtleties
and joys to the increasing audience of Python programmers. He was
unknown because he lived in Italy and, since he was a relative
newcomer to the Python community, none of the old Python hands had
ever met himtheir paths had not happened to cross back in the
1980s when Alex lived in the United States, working for IBM Research
and enthusiastically using and promoting other high-level languages
(at the time, mostly IBM's Rexx).
ActiveState wooed Alex, trying to convince him to move to Vancouver.
We came quite close, but his employer put some golden handcuffs on
him, and somehow Vancouver's weather
couldn't compete with Italy's. Alex
stayed in Italy, much to my disappointment. As it happened, Alex was
also at that time negotiating with O'Reilly about
writing a book. Alex wanted to write a cookbook, but
O'Reilly explained that the cookbook was already
signed. Later, Alex and O'Reilly signed a contract
for Python in Nutshell.
The second ongoing activity was the creation of the Python Software
Foundation. For a variety of reasons, best left to discussion over
beers at a conference, everyone in the Python community wanted to
create a non-profit organization that would be the holder of
Python's intellectual property, to ensure that
Python would be on a legally strong footing. However, such an
organization needed both financial support and buy-in from the Python
community to be successful.
Given all these parameters, the various parties agreed to the
following plan:
ActiveState would build an online cookbook, a mechanism by which
anyone could submit a recipe (i.e., a snippet of Python code
addressing a particular problem, accompanied by a discussion of the
recipe, much like a description of why one should use cream of tartar
when whipping egg whites). To foster a community of authors and
encourage peer review, the web site would also let readers of the
recipes suggest changes, ask questions, and so on. As part of my ActiveState job, I would edit and ensure the quality of
the recipes. Alex Martelli joined the project as a co-editor when the
material was being prepared for publication, and, with Anna Martelli
Ravenscroft, took over as primary editor for the second edition. O'Reilly would publish the best recipes as the
Python Cookbook. In lieu of author royalties for the recipes, a portion of the
proceeds from the book sales would be donated to the Python Software
Foundation.
|


This is an example of the "BaskervilleMTStd-SemiBdIt" web font file.
Note: Web Fonts may not work with all web browsers. Please check your web browser documentation for Web Font support.


Why 8th Senate rejected Buhari’s $29.96bn loan request – Shehu Sani
by Sunday AborisadeSunday Aborisade, Abuja
The chairman of the Senate Committee on Local and Foreign Debt in the 8th National Assembly, Senator Shehu Sani, has explained why the federal parliament rejected President Muhammadu Buhari’s request for a $29.96bn loan request last year.
He said, “We turned down the Federal Government loan request of $29.96bn to save Nigeria from sinking into the dark gully of a perpetual debt trap.”
Sani, in a statement on Friday, added that “We don’t want our country to be recolonised by creditor banks.”
Nigeria’s external debt in 2015, according to him, was $10.32bn before Buhari assumed power.
He lamented that the figure escalated to $22.08bn in the second quarter this year, which he said, represented a 114 per cent increase.
He said, “If we had approved that loan request, our external debt could have catapulted to over $52bn and that is not sustainable.
“With the current escalation of borrowing, we will be walking into debt slavery and move from landlords to tenants in our own country.
“They will always tell you that even America is borrowing and I don’t know how rational it is to keep on borrowing because another country is borrowing.
“If we keep listening to bankers and contractors, we will keep borrowing and burying ourselves and leave behind for our children a legacy of debt burden.
“Loans are not charities. Most of those encouraging more borrowing are parasitic consultants, commission agents, rent-seeking fronts and contractors.”
Sani, who is now the Director, African Centre for Peace and Development, therefore cautioned the federal lawmakers to be well guided.


joint_trajectory_action_server Module
- Baxter RSDK Joint Trajectory Controller
- Unlike other robots running ROS, this is not a Motor Controller plugin,
but a regular node using the SDK interface.
-
joint_trajectory_action_server.main()[source]
-
joint_trajectory_action_server.start_server(limb, rate, mode)[source]


Researcher @ Embedded Computing Lab - UFSC
Florianópolis, BRResearch on EDA algorithms: Timing-Driven Placement, Detailed Placement, Circuit Legalization & Register Clustering.
Research on EDA algorithms: Timing-Driven Placement, Detailed Placement, Circuit Legalization & Register Clustering.
Worked in diffrent projects:


This framework proposes the foundation for creating a moving target defense architecture for distributed software. This framework enables distributed to change their behavior, the component interaction, the graphical interface and their architecture configurations dynamically while preserving the requirements and integrity of services. The main goal of the oneshotsoftware framework is to hinder the adversary’s capabilities in scanning or discovering software vulnerabilities targets, launching attacks and creating botnets structure.
The framework architecture is based on the following basis:
Based on these two foundations, we are building a set of model for capturing components interaction, components interface, components graphical interface and we are building a set of libraries to create disruption,processor to automatically inject countermeasures withing the component source code. Next we use Kevoree and Docker to automatically deploy the components variant for each new user.


"Turner was released Friday, September 2, after only 12 weeks in jail. Although he was found guilty of three felony counts, he is being released early on "good behavior."
"People seeking refuge in New Zealand fall into two legal categories - 'Convention' and 'quota' refugees. Currently, only people who fall within the quota refugee category are entitled to the services and support contained in the Governments Refugee Resettlement Strategy (RSS)"
"It's simple: a 'Small Talk' sticker adorned with a positive or motivational quote, which is sold to cafes across the New Zealand and stuck atop takeaway coffee cup lids"
"A midwife is expected to tell how she's had to deliver babies at night by the light of her cellphone at the cross-party inquiry into homelessness."
SeaWorld's decision earlier this year to stop breeding killer whales and phase out the parks’ theatrical Shamu shows represented a sharp detour from its longstanding business model, but CEO Joel Manby says not to expect any truce with PETA, the company's harshest critic


This completes the main task. We will now ask you a brief series of demographics questions. You will also have the chance to give feedback.


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No we do not. Our only goal is to make donating an easier experience.
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We update every 10 weeks.


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◆ GetChunk()
| TerrainChunk ITerrainGenerator.GetChunk |
( |
float |
x, |
|
|
float |
z |
|
) |
| |
◆ GetTerrainChunk()
◆ GetTerrainChunkPosition()
| Vector2 ITerrainGenerator.GetTerrainChunkPosition |
( |
float |
xPos, |
|
|
float |
zPos |
|
) |
| |
Translates a worldcoordinate to a ChunkVec2 that can be used in GetTerrainChunk(Vec2)
- Parameters
-
- Returns
- Vec2 of the TerrainChunk that contains the given positions
Implemented in TerrainGenerator.
◆ GetTerrainType()
◆ IsReady() [1/2]
| bool ITerrainGenerator.IsReady |
( |
| ) |
|
Checks to see if all visible TerrainChunks received their Mesh
- Returns
- true if all TerrainChunks received their mesh
Implemented in TerrainGenerator.
◆ IsReady() [2/2]
| bool ITerrainGenerator.IsReady |
( |
Vector3 |
position | ) |
|
◆ IsSuitedTerrain() [1/2]
◆ IsSuitedTerrain() [2/2]
◆ TransformTerrainMeshToObject()
Rises or Lowers the Terrain to align with any placed object
- Parameters
-
| terrainChunk | |
| objectPosition | |
- Returns
- Returns true on successful Terrain Transformation
Implemented in TerrainGenerator.
◆ Update()
| void ITerrainGenerator.Update |
( |
| ) |
|
◆ TerrainPlaceableHeight
| float ITerrainGenerator.TerrainPlaceableHeight |
|
get |
The documentation for this interface was generated from the following file:


Link to pages with good infomation about computer
programing Varribles:
https://www.w3schools.com/js/js_variables.asp
int - stores intergers (whole numbers), without decimals, such as 123 or -123
double - stores floating point numbers, with decimals, such as 19.99 or -19.99
char - stores single characters,such as 'a' or 'b'. Char values are surronded by single quotes
string - stores text, such as "hello world". String values are surronded by double quotes
bool - stores values with two states: true or false


Trajectory of First-order Methods and Adaptive Acceleration: Workshop on Efficient Algorithms in Data Science, Learning, and Computational Physics, Tsinghua Sanya International Mathematics Forum (TSIMF), Sanya China, 12 - 16 January, 2020.
Geometry based Acceleration for Non-smooth Optimisation: International Conference on Continuous Optimization (ICCOPT), Berlin Germany, 5 - 8 August, 2019.
Improving FISTA: Faster, Smarter and Greedier: International Congress on Industrial and Applied Mathematics (ICIAM), Valencia Spain, 15 - 19 July, 2019.
Local Linear Convergence of Variance Reducing Stochastic Gradient Descent: Applied Inverse Problems (AIP), Grenoble France, 8 - 12 July, 2019.
Make FISTA Faster Again: IMA and OR Society Conference on Mathematics of Operational Research, Birmingham UK, 25 - 26 April, 2019.
Make FISTA Faster Again: SIAM Conference on Imaging Science, Bologna Italy, 5 - 8 June, 2018.
Activity Identification and Local Linear Convergence of Forward–Backward-type Methods: Optimization, Lisbon Portugal, 6 - 8 September, 2017.
MUSTARD: a MUlti-Step inerTial operAtoR splitting methoD: Workshop on Signal Processing, Optimization and Compressed Sensing (SPOC), Nankai University, Tianjin China, 17 - 21 December, 2016.
Activity Identification and Local Linear Convergence of Forward–Backward-type Methods: Problèmes Inverses, Contrôle et Optimisation de Formes (PICOF), Autrans France, 1 - 3 June, 2016.
On Bias in Stochastic Gradient Descent: Institute of Natural Sciences, Shanghai Jiao Tong University, 9 January, 2020.
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration: Institute of Natural Sciences, Shanghai Jiao Tong University, 9 January, 2020.
On Bias in Stochastic Gradient Descent: University College London, 15 November, 2019.
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration: Imperial College London, 28 October, 2019.
Geometry of Non-smooth Optimisation: University of Birmingham, 1 May, 2019.
Local Linear Convergence of First-order Proximal Splitting Methods: INRIA Saclay, 15 February, 2019.
Local Linear Convergence of First-order Proximal Splitting Methods: Shanghai University of Finance and Economics, 25 December, 2018.
Make FISTA Faster Again: Institute of Natural Sciences, Shanghai Jiao Tong University, 20 December, 2018.
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter and Greedier: National University of Singapore, 8 December, 2018.
Identifiability of Forward--Backward-type Splitting Methods: Alan Turing Institute, 21 March, 2018.
A Local Perspective of Stochastic Optimisation methods: Institute of Natural Sciences, Shanghai Jiao Tong University, 9 November, 2017.
Activity Identification and Local Linear Convergence of Forward–Backward-type Methods: BICMR, Peking University, 9 January, 2017.
Partial Smoothness: a Powerful Tool for Algorithm Analysis and Design: University of Seville, 14 December, 2016.
Local linear convergence of Forward–Backward-type methods: Institute of Natural Sciences, Shanghai Jiao Tong University, 29 July, 2015.
Local linear convergence of proximal splitting methods: GT Statistique et Imagerie, Paris-Dauphine, 25 June, 2015.
Local Linear Convergence of Variance Reduced Stochastic Gradient Methods for Low Complexity Regularization: Signal Processing with Adaptive Sparse Structured Representations (SPARS), Toulouse France, 1 - 4 July, 2019.
Accelerating First-Order Methods via Linear Prediction: Signal Processing with Adaptive Sparse Structured Representations (SPARS), Toulouse France, 1 - 4 July, 2019.
Local Linear Convergence of Primal–Dual splitting methods for Low Complexity Regularization: Signal Processing with Adaptive Sparse Structured Representations (SPARS), Lisbon Portugal, 4 - 8 June, 2017.
Local Linear Convergence of Forward-Backward-type and Douglass-Rachford/ADMM methods for Low Complexity Regularizations: Signal Processing with Adaptive Sparse Structured Representations (SPARS), Cambridge UK, 6 - 9 July, 2015.
Activity Identification & Local Linear Convergence of Forward-Backward and Variants: Journées annuelles 2014 du GdR MOA, XLIM, Université de Limoges, France, 3 - 5 December, 2014.
Iteration-Complexity for Inexact Proximal Splitting Algorithms: Int. Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), Namur Belgium, 27 - 29 August, 2014.


Welcome to astra’s documentation!¶
ASTRA is a Python-based high altitude balloon trajectory planning package. These pages should mainly used as an API reference, since the code is closed source (hence the minimal intro here).
References¶
[1] Sobester, A., Czerski, H., Zapponi, N., and Castro, I. P., “High Altitude Gas Balloon Trajectory Prediction - a Monte Carlo Model”. AIAA Journal, 52, (4), 2014, pp. 832-842. (doi:10.2514/1.J052900 <http://dx.doi.org/10.2514/1.J052900>).


Types¶
The library consists of a single histogram
and several axis types which are stored in a boost::variant
called axis_type
. The axis types are created and passed to the constructor of the histogram to define its binning scheme. All following types are embedded in the boost::histogram
namespace, which is omitted for brevity.
Histogram type¶
#include <boost/histogram/histogram.hpp>
C++ interface¶
-
class
histogram
: public basic_histogram¶ The class implements an n-dimensional histogram, managing counts in bins.
It inherits from
basic_histogram
, which manages the stored axis instances and the conversion of an n-dimensional tuple or index into an internal linear offset that is used to address the bin count. How the bin count is stored is an encapsulated implementation detail.-
histogram
(const axis_type &a0, ...)¶ Constructors for a variable number of axis types, each defining the binning scheme for its dimension. Up to
BOOST_HISTOGRAM_AXIS_LIMIT
axis types can be passed to the constructor, yielding the same number of dimensions.
-
void
fill_c
(unsigned n, const double *v)¶ Fills the histogram with a c-array
v
of lengthn
. A checks at run-time asserts thatn
agrees with the dimensions of the histogram.Allocation of internal memory is delayed until the first call to this function.
-
void
wfill_c
(unsigned n, const double *v, double w)¶ Fills the histogram with a c-array
v
of lengthn
, using weightw
. A checks at run-time asserts that n agrees with the dimensions of the histogram.Allocation of internal memory is delayed until the first call to this function. If the histogram was filled with
fill_c()
before, the internal memory is converted to the wide format used for storing weighted counts.If the data is not weighted (all weights are 1.0), using
fill()
is much more space-efficient. In the most extreme case, storing of weighted counts consumes 16x more memory.
-
void
wfill
(unsigned n, const double *v, double w)¶ Same as
wfill_c()
, but passing the values of the tuple directly.
-
double
value_c
(unsigned n, const int *idx) const¶ Returns the count of the bin addressed by the supplied index. Just like in Python, negative indices like
-1
are allowed and count from the end. So if an axis hask
bins,-1
points tok-1
.
-
double
variance_c
(unsigned n, const int *idx) const¶ Returns the variance estimate for the count of the bin addressed by the supplied index. Negative indices are allowed just like in case of
value_c()
.Note that it does not return the standard deviation \(\sigma\), commonly called “error”, but the variance \(\sigma^2\).
In case of unweighted counts, the variance estimate returned is \(n\), if the count is \(n\). This is a common estimate for the variance based on the theory of the Poisson distribution.
In case of weighted counts, the variance estimate returned is \(\sum_i w_i^2\), if the individual weights are \(w_i\). This estimate can be derived from the estimate above using uncertainty propagation. The extra storage needed for keeping track of the this sum is the reason why a histogram with weighted counts consumes more memory.
-
double
variance
(int i0, ...) const¶ Same as
variance_c()
, but passing the values of the index directly.
-
unsigned
depth
() const¶ Returns the current size of a count in the internal memory buffer in number of bytes.
-
double
sum
() const¶ Returns the sum of bin counts, including overflow and underflow bins. This could be implemented as a free function.
-
bool
operator==
(const histogram &other) const¶ Returns true if the two histograms have the dimension, same axis types, and same data content. Two otherwise identical histograms are not considered equal, if they do not have the same depth, even if counts and variances are the same. This case only occurs if one histogram is filled using
fill()
and the other withwfill()
, using weights of 1.
-
histogram &
operator+=
(const histogram &other) const¶ Adds the counts of the histogram on the right hand side to this histogram, if the two histograms have the same signature. Otherwise, a
std::logic_error
is thrown. Returns itself.
The following member functions are inherited from
basic_histogram
:-
unsigned
dim
() const¶ Returns the number of dimensions of the histogram, how many axis it has.
-
unsigned
bins
(unsigned i) const¶ Returns the number of bins for axis
i
.
-
unsigned
shape
(unsigned i) const¶ Returns the actual number of fields used by the axis. If the axis has no underflow and overflow bins, this is equal to
bins()
. Otherwise, the number is larger by 2.
-
Python interface¶
The operators ==
, +=
, and +
are defined for histograms. They are also pickable.
-
class
histogram.
histogram
¶ N-dimensional histogram for real-valued data.
-
__init__
(*axes)¶ Pass one or more axis objects as arguments to define the dimensions of the histogram.
-
dim
¶ dimensions of the histogram
-
shape
((basic_histogram)self, (int)i) → int :¶ Parameters: i (int) – index of the axis Returns: number of count fields for axis i (bins + 2 if underflow and overflow bins are enabled, otherwise equal to bins
-
axis
((basic_histogram)self, (int)i) → object :¶ Parameters: i (int) – index of the axis Returns: axis object for axis i
-
fill
(*values, w=None)¶ Pass a sequence of values with a length
n
is equal to the dimensions of the histogram, and optionally a weightw
for this fill (int or float).If Numpy support is enabled,
values
my also be a 2d-array of shape(m, n)
, wherem
is the number of tuples to pass at once, and optionally another a second 1d-arrayw
of shape(m,)
.
-
value
(*indices)¶ Parameters: indices (int) – indices of the bin Returns: count for the bin
-
variance
(*indices)¶ Parameters: indices (int) – indices of the bin Returns: variance estimate for the bin
-
Axis Types¶
#include <boost/histogram/axis.hpp>
C++ interface¶
Axis types have a similar and often common interface, but have no common base type. To increase performance, axis types are internally stored by basic_histogram
in a boost::variant
.
-
typedef boost::variant<regular_axis, polar_axis, variable_axis, category_axis, integer_axis>
axis_type
¶ A variant which stores one of several axis objects. It needs to be cast to the type it currently holds to be useful or passed to a visitor.
All axis types support the ==
operator.
-
class
regular_axis
¶ An axis for real-valued data and bins of equal width. Binning is a O(1) operation.
-
regular_axis
(unsigned n, double min, double max, const std::string &label = std::string(), bool uoflow = true)¶ Parameters: - n – number of bins
- min – low edge of first bin
- max – high edge of last bin
- label – description of the axis
- uoflow – add underflow and overflow bins to the histogram for this axis or not
-
-
class
polar_axis
¶ An axis for real-valued angles. There are no overflow/underflow bins for this axis, since the axis is circular and wraps around after \(2 \pi\). Binning is a O(1) operation.
-
polar_axis
(unsigned n, double start, const std::string &label = std::string())¶ Parameters: - n – number of bins
- start – starting phase of the angle
- label – description of the axis
-
-
class
variable_axis
¶ An axis for real-valued data and bins of varying width. Binning is a O(log(N)) operation. If speed matters and the problem domain allows it, prefer a regular_axis.
-
variable_axis
(const std::vector<double> &x, const std::string &label = std::string(), bool uoflow = true)¶ Parameters: - x – bin edges, the number of bins is one less the size of this vector
- label – description of the axis
- uoflow – add underflow and overflow bins to the histogram for this axis or not
-
-
class
category_axis
¶ An axis for enumerated categories. The axis stores the category labels, and expects that they are addressed using an integer from
0
ton-1
. There are no underflow/overflow bins for this axis. Binning is a O(1) operation.-
category_axis
(const std::vector<std::string> &categories)¶ Parameters: categories – an ordered sequence of categories that this axis discriminates
-
category_axis
(const std::string &categories)¶ Parameters: categories – a string of categories separated by the character ;
-
const std::string &
operator[]
(int index) const¶ Returns the category for the bin index.
-
-
class
integer_axis
¶ An axis for a contiguous range of integers. There are no underflow/overflow bins for this axis. Binning is a O(1) operation.
-
integer_axis
(int min, int max, const std::string &label = std:string(), bool uoflow = true)¶
-
int
operator[]
(int index) const¶ Returns the integer that is mapped to the bin index.
-
Common interface among axis types:
-
unsigned
bins
() const¶ Returns the number of bins.
-
bool
uoflow
() const¶ Returns whether overflow and underflow bins will be added in the histogram.
-
const std::string &
label
() const¶ Returns the axis label, which is a name or description (not implemented for category_axis).
-
void
label
(const std::string &label)¶ Change the label of an axis (not implemented for category_axis).
-
int
index
(const double x) const¶ Returns the bin index for the passed argument.
-
double
operator[]
(int index) const¶ Returns the low edge of the bin (not implemented for category_axis and integer_axis).
Python interface¶
All axis types support the operators ==
and []
. They support the len()
and repr()
calls, and the iterator protocol.
-
class
histogram.
regular_axis
¶ An axis for real-valued data and bins of equal width. Binning is a O(1) operation.
-
index
((regular_axis)self, (float)x) → int :¶ Parameters: x (float) – value Returns: bin index for the passed value
-
label
¶ Name or description for the axis.
-
-
class
histogram.
polar_axis
¶ An axis for real-valued angles. There are no overflow/underflow bins for this axis, since the axis is circular and wraps around after 2pi. Binning is a O(1) operation.
-
index
((polar_axis)self, (float)x) → int :¶ Parameters: x (float) – value Returns: bin index for the passed value
-
label
¶ Name or description for the axis.
-
-
class
histogram.
variable_axis
¶ An axis for real-valued data and bins of varying width. Binning is a O(log(N)) operation. If speed matters and the problem domain allows it, prefer a regular_axis.
-
index
((variable_axis)self, (float)x) → int :¶ Parameters: x (float) – value Returns: bin index for the passed value
-
label
¶ Name or description for the axis.
-
-
class
histogram.
category_axis
¶ An axis for enumerated categories. The axis stores the category labels, and expects that they are addressed using an integer from 0 to n-1. There are no underflow/overflow bins for this axis. Binning is a O(1) operation.
-
class
histogram.
integer_axis
¶ An axis for a contiguous range of integers. There are no underflow/overflow bins for this axis. Binning is a O(1) operation.
-
index
((integer_axis)self, (float)x) → int :¶ Parameters: x (float) – value Returns: bin index for the passed value
-
label
¶ Name or description for the axis.
-


Go to Settings:
In Settings go to Network -> Internet:
Click Add a VPN Connection:
Here you will need to specify the public IP address of the cloud space. For this you first need to go to the End User Portal:
In the End User Portal select Defense Shield:
Here click the Advanced Shield Configuration button:
Under IP | Addresses you will see the public IP address of your cloud space:
Going back to configuration of the new VPN connection in Windows, select the built-in VPN provider, specify a connection name and the public IP address of your cloud space, in this case: <IP_ADDRESS>.
Hit the Save button and see the newly added VPN configuration listed:
When you click Connect you will be asked to specify for credentials, for we first need to go back to the Advanced Defense Shield Configuration, this time under PPP | Secrets:
Here click Add New and specify a username and password:
After click OK, use these credentials in the Sign in screen of Windows:
When you OK you should get connected:
Also in the Advanced Defense Shield Configuration under PPP | Active Connections you will see that the connection was successful:
In this case you see that the Windows client did receive IP address <IP_ADDRESS>.
As a final test you will want to ping from your Windows machine another (virtual) machine in the same cloud space.


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Your's
Feeling Is Believing
Hey buddy, tell me how you feel, please! :)
Appreciating Is Growing
Kindly feedback, whatever and whenever you want.
Hey buddy, tell me how you feel, please! :)
Kindly feedback, whatever and whenever you want.


Your are using the MapMint4ME application. It is provided free of charge under the term of the MIT/X11 License and aims to provide an easy to use editing tool for your own data on the field.
The software has been developped and published on GooglePlay™ by GeoLabs SARL.


--- layout: post status: publish published: true title: Inconsolata author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 735 wordpress_url: http://winterdom.com/2006/11/inconsolata date: '2006-11-12 06:42:21 +0000' date_gmt: '2006-11-12 06:42:21 +0000' categories: - Personal - Development - Fonts tags: [] comments: - id: 494 author: Marcos author_email<EMAIL_ADDRESS>author_url: http://www.geekswithblogs.net/marcost date: '2006-11-27 11:14:38 +0000' date_gmt: '2006-11-27 11:14:38 +0000' content: | Tomas, any change to share your vs settings? I like a lot the font colors... much better than brad wilson settings IMHO. Thanks a lot in advance!. Marcos - id: 495 author: Gary author_email: '' author_url: '' date: '2007-01-24 14:11:33 +0000' date_gmt: '2007-01-24 14:11:33 +0000' content: | Saw Scotts pae and thoughtI'd try out his font. Thanks for sharing. ---
I've said in the past I enjoy looking for cool and beautiful fonts, particularly of the monospaced variety. I tried using Monaco (a font recomended by some), and while the font is nice, I found it too tiresome for everyday use, and reverted back to trusty 15pt Consolas.
I recently found out Inconsolata, and it definitely shows potential. It's a little smaller at these sizes than Consolas, but it's a well balanced font, with all the usual programming characters well defined and easy to spot. I particularly like the braces and brackets as they are well positioned. The only significant downside I've seen so far is that the uppercase O is not too different from the 0 (zero).
I'll keep on using it for a while and see how it works out for extended use.
Technorati: Fonts, Monospaced, Programming


MKLoginViewController Class Reference
| Inherits from | MKViewController : UIViewController |
| Declared in | MKLoginViewController.h |
Overview
Overview
MKLoginViewController provides an interface for loging into an app using a four digit PIN.
Usage If no PIN is set, MKLoginViewController will allow a PIN to be set and store it for future use. The PIN is stored with NSUserDefaults via the following keys:
-
MKLoginViewControllerPinSetKey
: key for a BOOL value telling if a PIN has been set or not. -
MKLoginViewControllerPinKey
: key for an integer value telling the PIN that is currently stored.
MKLoginViewContoller works with MKLoginSettingsViewController which provides interfaces to change the PIN and set challenge question to retrive the PIN. Challege questions and answers are stored in NSUserDefaults, via the following keys:
-
MKLoginViewControllerChallengeSetKey
: key for a BOOL value telling a challege question is set. -
MKLoginViewControllerChallengeQuestionKey
: key for a NSString representing the challenge question. -
MKLoginViewControllerChallengeAnwserKey
: key for a NSString representing the challenge answer.
Delegate
MKLoginViewController calls the following delegate methods:
-
setPin:
called when a user sets a new PIN -
pinIsValidated:
called when the entered PIN is validated -
maxPinAtemptsMade
called when the maximum number of PIN atempts have been made
Notification
MKLoginViewController will dispatch the following notifications:
-
MKLoginViewControllerNewPinSetNotification
: This notifcation is posted when a new PIN is set by this view controller. The notification will contain an user info dictionary with on key:MKLoginViewControllerNewPinKey
this key will return an NSString representation of the PIN.
MKLoginViewController conforms to ARC
Tasks
View Elements
-
headerView
The headerView is placed directy above the PIN entry boxes. -
promptLabel
The lable displaying text above the PIN entry text feilds
PIN Properties
-
pin
The PIN that has been entered. This is a read only property -
pinIsSet
This is a read only property, it is set to YES if a PIN is stored and NO if one is not.
Behaviors
-
secretEntry
Tells if the Login Controller should hide the values entered by the user. YES to hide the values NO to dispaly them. Default is NO. -
maxAtempts
The Maximum number of times an incorrect pin can be entered. A value of 0 means infinite atempts. Default is zero.
Properties
headerView
The headerView is placed directy above the PIN entry boxes.
@property (nonatomic, strong) UIView *headerView
Declared In
MKLoginViewController.h
maxAtempts
The Maximum number of times an incorrect pin can be entered. A value of 0 means infinite atempts. Default is zero.
@property (nonatomic, assign) NSInteger maxAtempts
Declared In
MKLoginViewController.h
pin
The PIN that has been entered. This is a read only property
@property (nonatomic, assign, readonly) NSInteger pin
Declared In
MKLoginViewController.h
pinIsSet
This is a read only property, it is set to YES if a PIN is stored and NO if one is not.
@property (nonatomic, assign, readonly) BOOL pinIsSet
Declared In
MKLoginViewController.h


Louisiana government computers knocked out after ransomware attack
REUTERS: Louisiana state government computers were knocked out following a ransomware attack, the governor said on Monday, as results from the close gubernatorial election in the southern state await certification.
Many state agencies had their servers taken down in response to the attack, Governor John Bel Edwards said in a series of messages posted to Twitter. He said the agencies were coming back online but that full restoration could take "several days."
"There is no anticipated data loss and the state did not pay a ransom," he said. Ransomware works by scrambling data held on vulnerable computers and demanding a payment to unlock it.
Louisiana Secretary of State spokesman Tyler Brey said that while his office's website was briefly offline, the tallying of Saturday's vote, in which Bel Edwards narrowly won re-election, was unaffected.
The vote drew national attention following U.S. President Donald Trump's well-publicized endorsement of Bel Edward's Republican challenger, Eddie Rispone.
Louisiana's candidates have until next week to contest the results and ask for a recount.
A person familiar with the matter identified the particular breed of ransomware that struck Louisiana as Ryuk, a variant which cybersecurity firm CrowdStrike said has earned its operators US$3.7 million since its appearance last year. Experts believe that Ryuk is used by financially motivated criminals rather than foreign governments.
Louisiana is one of a long list of local jurisdictions that have been bedeviled by ransomware attacks. The state made headlines in July after it declared a state of emergency following an outbreak that disrupted several school districts.
The state has also drawn criticism for its failure to implement a paper audit of its voting machines.
Messages seeking comment from Louisiana's Division of Administration and the Louisiana branches of the Democratic and Republican parties were not immediately returned.
(Reporting by Raphael Satter and Christopher Bing; Editing by Bill Berkrot and Sonya Hepinstall)


Publish a file on Slack
The Slack app
- Go to api.slack.com.
- Click the "Your Apps" link at the top right.
- Authenticate, if you're not authenticated.
-
Click the "Create an App" button.
-
Set the App name, e.g. "Notifier", set the "Development Slack Workspace" and click the "Create App" button.
Scopes and Permissions
- Click the "OAuth & Permissions" menu item in the "Features" section, or the "Permissions" item in the "Add features and functionality" section. Scroll down to the "Scopes" section and under the "Bot Token Scopes", click the "Add an OAuth Scope" button. In the opened dropdown search and select the "files:write" permission.
In case if you're adding a scope to an existing Slack app that is installed to workspace (e.g.
you may already have a Slack app for incoming webhooks), a big yellow alert may ask you to
reinstall the app to apply changes. Click the "reinstall your app" link, specify a Slack
channel, and click the "Allow" button.
- Scroll up and click the "Install App to Workspace" button.
You can see what permissions are given to the app. Because I've added the "files:write" scope,
I'm allowing the app to upload, edit and delete files.
Click the "Allow" button.
- Copy and save the "Bot User OAuth Access Token".
Add the app to a channel
- Open the Slack app. In the Apps section click the bot name we've created. In the "Details" section, click the "More" button, then click the "Add this app to a channel...". Choose a channel and click the "Add" button.


A {{ frequency }} statement is now available for the following account:
{{ org_name }}
Log in to download and view this statement.


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 4
Dietary
For comfort food heaven, make this rich, creamy lasagne. It’s perfect for using up Halloween pumpkins!
Preheat the oven to 180C/350F/Gas 4.
Heat the olive oil in a large heavy-based pan. Add the pumpkin and cook, covered, stirring gently from time to time, until the pumpkin is tender, up to one hour.
Season the pumpkin with plenty of paprika, a grating of nutmeg, freshly ground black pepper and a little salt, to taste.
Add the ricotta cheese while it's still on the heat. Stir well then remove from the heat. Cover and allow mixture to stand.
For the béchamel sauce, melt the butter in a small saucepan without letting it brown. Add the flour little by little, stirring constantly to prevent lumps from forming.
When the flour has evenly absorbed the butter, continue to cook, stirring, for 4-5 minutes.
Add the 350ml/10½fl oz milk a little at a time, strirring constantly to make a smooth, thick and creamy sauce. Season.
Arrange a layer of lasagne pasta sheets in the bottom of a large ovenproof dish. Spoon over a third of the pumpkin mixture. Lay more pasta sheets over the top, followed by another layer of pumpkin and another layer of pasta, followed by a final layer of the pumpkin mixture. Finish with a layer of lasagne pasta sheets.
Pour the 150ml/5¼fl oz milk over the top and allow it to drain through to all pasta layers.
Bake for ten minutes in the preheated oven, remove and spread the béchamel sauce on top.
Bake for a further 15-20 minutes or until all the milk has been absorbed by the pasta and the lasagne looks cooked and is beginning to go crisp.
Remove from the oven, sprinkle with parmesan and place back in the oven for a few minutes - take care not to burn the pasta or the béchamel on top. Serve immediately.


${h1} - example
glob.dynamicUrl
Include #${num}
Base
Slot value: 1
free
free2
slot Value: 2
free
free2
slot value: Dynamic inc3
free
Chain include
Slot value: Chain inc
Dynaminc include before
${idx} => ${foo}
Foreach and include after
${foo} = ${i}, ${j}, ${k}


The Google Store will now price match with online stores from Best Buy, Walmart, Target, and Amazon
by Peter HoldenIt can be so frustrating when you research your next smartphone, find the best possible deal, get the phone in your hands and then see the same item available at a lower price at a different retailer, especially during the Black Friday sales. There usually isn’t much you can do about it but Google is stepping up to the plate by introducing an improved price matching policy for items bought from the Google Store.
It’s still a fairly limited program in that there are only four retailers eligible for price matching: Amazon, Best Buy, Target, and Walmart. And as you might expect, there are a number of criteria that must be adhered to, namely:
- Only online pricing for these retailers: Amazon (sold by Amazon.com), Best Buy, Target, Walmart.
- Requests must be made within the buyer’s remorse period.
- Advertised prices must be for the same model (same color and memory, if applicable).
- Advertised price must still be in effect when adjustment is requested, and no rain checks if Google Store is out of stock.
- Only 2 per customer per model.
- For phones, only applicable to Unlocked.
- Customer must provide a live link to the promo or webpage that verifies the price. PDFs, screenshots, pictures, or individual price quotes not accepted.
- Google reserves the right to decline a price match if we suspect fraud or unauthorized reseller activity.
- Available by chat or phone only.
- Excludes: Contract mobile phones or financing deals; special daily or hourly deals; pre-order or trade-in offers; wholesale or educational pricing; mail-in, coupon, or gift card offers; pricing errors; product bundles or free items; bundled services or support; clearance, open box, refurbished, or pre-owned items; products shipped or sold by third-party sellers on competitor’s website.
It’s unfortunate that you aren’t allowed to submit price matching requests via email or an online form but Google isn’t accepting screenshots, PDFs, or images taken of the deals from other online stores. If your price matching request is successful, Google will refund the difference to the original payment method.
Source: Google
Xiaomi’s Redmi K30 and its 120hz display set to launch on December 10th
[Deal] Save 25% on the Android-powered Gemini PDA from Planet Computers this Black Friday weekend
[Deal] Save $100 on Google’s best phones of 2019 – the Pixel 3a & 3a XL


Cash Available:
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Disk Scheduling
Current position:
Previous request:
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This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
Alexandria Skowronski
9/6/2018
Jail space means more to Fred Moses than just a place to house inmates — it can also be the difference between life or death.
Moses, the municipal court judge for Hocking County, runs a specialized drug court to help combat addiction in the area. The drug court offers addiction and mental health treatment to those selected for the program.
“I have to make decisions on who stays in and who gets out,” Moses said. “You’re basically deciding who might live another day and who doesn’t.”
The program can save lives, Moses said — but only when there is enough jail space available to house the inmates.
Jail space is particularly sparse for women. Moses has just five female beds available at the Southeastern Ohio Regional Jail, which he shares with the Hocking County Common Pleas Court.
Recently, Moses’ staffers had to call seven separate jails around the region to find a place for one female offender who used fentanyl, a powerful opioid, earlier that day. Moses feared that she could die if she got out.
Alexandria Skowronski | FOR THE POST
Rep. Steve Stivers (left), R-Upper Arlington, talks to Ohio University President Duane Nellis (right) at a tour of the Hocking Correctional Unit on Friday.
“We have to lock a lot people up to keep them clean and keep them safe,” he said.
On Aug. 31, Moses, along with Ohio University President Duane Nellis and U.S. Rep. Steve Stivers, toured the Hocking Correctional Unit. Moses said the facility could give his drug court more resources than ever before and potentially save lives.
The building is surrounded by trees and located on an overlook along State Route 33 near Nelsonville. Metal bars and cages cover many of the windows and line the hallways of the old building.
In some places, hundreds of empty beds line barren rooms. Officials hope the Hocking Correctional Unit won’t be empty for long.
Long before it was surrounded by barbed-wire and fences, the Hocking Correctional Unit opened in 1955 as a tuberculosis ward. The building was one of many hospitals built across the U.S. to combat the disease, also known as the white plague, and house those affected by it. As treatment of tuberculosis changed in the 20th century, the purpose of the building was adapted as well. It first became a children’s facility, then a prison by the early 1980s.
Now, the Hocking Correctional Unit is undergoing renovations as part of its most recent change, and officials involved with the project hope it will treat a different kind of epidemic sweeping the nation: drug addiction.
“If you begin your path to recovery while you are in a secure setting and you start to make linkages and bonds, it makes it more likely that when you are in a situation where you’ve been released, you are much more likely to follow through on the path you’ve began”Ellen Martin
Ohio is in the grips of an opioid epidemic: 4,050 Ohioans died of accidental drug overdoses in 2016 — a 32.8 percent increase from 2015, according to the Ohio Department of Health.
The Appalachian Recovery Project, a coalition of both private and public entities such as local addiction treatment services and businesses that was selected to repurpose the facility, hopes to turn the former prison into both a treatment facility and a potential jail space for women.
Rick Hodges, a health executive in residence at OU and the director of Ohio Alliance for Innovation in Population Health, which is involved with the project, said he hopes the facility could help rehabilitate people with drug offenses, offering them services like medically assisted treatment, inpatient and outpatient therapy, GED education and job training.
“This is unique in that it’s designed to be from incarceration to hopefully reintegration in the community,” Hodges said.
A variety of local and regional treatment groups are involved with the project, including STAR Community Justice Center, which operates a treatment facility near the Ohio River in Franklin Furnace, about a 90-minute drive southwest of Athens.
STAR will help operate the facility’s first floor, which will be set aside as a drug treatment facility. On the second and third floors, dormitories stretch the length of the brick building. Officials involved with the Appalachian Recovery Project hope those rooms could provide jail space for up to 210 female inmates.
Eddie Philabaun, the executive director of STAR Community Justice Center, said about 50 beds on the first floor will be available for inpatient treatment. Treatment will also be available to inmates in the facility who need it, like those sent from Moses’ drug court.
Alexandria Skowronski | FOR THE POST
The doctors’ hallway at the Hocking Correctional Unit on Friday.
Ellen Martin, the CEO of Health Recovery Services in Athens, said she has attended meetings as part of the project to develop the facility.
“If you begin your path to recovery while you are in a secure setting and you start to make linkages and bonds, it makes it more likely that when you are in a situation where you’ve been released, you are much more likely to follow through on the path you’ve began,” Martin said.
The Ohio Department of Rehabilitation and Correction, or ODRC, will still own the facility and help with some of the renovation costs. ODRC will also help maintain the facility for some time, like a landlord, Hodges said. ODRC support, combined with counties paying to house their respective inmates, will help pay for the jail, and Hodges said the facility won’t be paid for through a specific local tax levy.
While the details are still being decided, Hodges hopes the facility will open in the first half of 2019.
When the closure of the Hocking Correctional Unit was announced in January, it sent shockwaves through much of Southeastern Ohio.
The facility, which employed 110 staff members and provided Nelsonville with hundreds of thousands of dollars in sewer and water revenue each year, had been a presence in the region for more than 30 years.
The aging facility, however, was not worth the cost of maintenance, ODRC officials said. By the beginning of the year, the Hocking Correctional Unit was the ODRC’s most expensive prison camp, amounting to $11.5 million in annual costs for the upkeep of the facility and its 430 inmates.
By comparison, similar-sized camps, like those in Richland and Trumbull counties, each cost about $3 million annually, according to a fact sheet provided by the ODRC. Other camps also operated more efficiently and with less staff members.
However, cost was only one factor in the state’s decision to close the facility. More low-level offenders are being rehabilitated in their communities instead of in prison, according to the ODRC fact sheet.
Abby Gordon | ILLUSTRATION
Prison intake in Ohio was at an all-time high about 10 years ago but has since fallen. In 2015, intake fell below 20,000 for the first time since the year 2000. Female intake has dropped as well.
State investment in community sanctions has increased in recent years. Those sanctions include both residential and non-residential options to keep inmates out of prison. Residential options serve as housing for inmates, like Community-Based Correctional Facilities, which are operated on a local level with assistance from the state.
Abby Gordon | ILLUSTRATION
Non-residential options include jail and prison diversion programs, which can provide supervision and free up jail and prison bed space. Both male and female admissions to the programs have increased over the past decade.
ODRC Director Gary Mohr was hours from retirement as he walked through the now-empty prison with Moses, Nellis, Stivers and others as part of the tour. Mohr joked about the thoroughness of the tour as the group slowly wound through the hallways and empty rooms of the building, likening it to an official inspection.
Mohr said there was clearly a connection between dropping inmate intake and increasing community sanctions populations. He added that local facilities could be more effective in treating drug offenders.
Mohr said the ODRC is investing about $100 million more per year in communities than in it did when he became director in 2011.
Despite the increasing investment and heightening admissions to community sanctions programs, some say there is still much more work to be done to address Ohio’s prison population — and they have made prison issues a statewide conversation.
Tiffanny Smith, an attorney with the Ohio Justice and Policy Center, said despite the falling intake, Ohio’s prisons remain well above capacity.
“We need to change our model in the way we care for people in the prison and jail system, and this is our effort to try to transition to that. We can stop the flow of people going in and out of the criminal justice system and also help them improve their lives, get jobs and reconnect with their families.”Bill Dunlap
According to 2014 data, Ohio’s prisons are built to hold 38,579 people, but as of Aug. 21, Ohio’s prison population is more than 49,000. While the ODRC has projected a decrease in the population, Smith said it isn’t enough.
“People are sleeping on floors already,” Smith said.
Mohr acknowledged that Ohio’s prison population has been slow to decline.
“Ohio’s been on a path, quite frankly, that’s been an aberration around the country,” Mohr said. “Our prison population has not declined like other states.”
While debates about prison population continue, local officials are excited to see how the new facility will impact the area.
The Hocking County Sheriff’s Office, which would take control of the jail portion of the facility, would create about 50 new jobs if the jail opens as planned, Chief Deputy David Valkinburg said.
The facility won’t just help incarcerated individuals but would also have a positive impact on the region, Bill Dunlap, the deputy director of the Athens-Hocking-Vinton Alcohol, Drug Addiction and Mental Health Services Board, said.
“We feel like we’re wasting people’s lives and time when they put them in jail and they sit there and do nothing,” Dunlap said. “We need to change our model in the way we care for people in the prison and jail system, and this is our effort to try to transition to that. We can stop the flow of people going in and out of the criminal justice system and also help them improve their lives, get jobs and reconnect with their families.”
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Police captain arrested in prostitution sting Officer on administrative leave 17 Nov 2019, 03:32 A Seattle police captain is arrested in an undercover vice operation.


Far and away the best prize that life has to offer is the chance to work hard at work worth doing.
Posted by Abe Zimmerman on July 8, 2018


Structure
Provider.FinancialInstitution
public struct FinancialInstitution: Hashable
The FinancialInstitution model represents a financial institution.
Relationships
Member Of
Provider
The provider model represents financial institutions to where Tink can connect. It specifies how Tink accesses the financial institution, metadata about the financial institution, and what financial information that can be accessed.
Conforms To
Hashable
Nested Type Aliases
ID
public typealias ID = Identifier<FinancialInstitution>
A unique identifier of a FinancialInstitution
.
Properties
id
let id: ID
A unique identifier.
Use this to group providers belonging the same financial institution.
name
let name: String
The name of the financial institution.


vignettes/example.Rmd
example.Rmd
To install the package from CRAN, type:
To get the latest development version from GitHub:
Next, load the package.
Your first task on loading the package should be to set the credentials - application ID and password. If you haven’t already, you can get this information http://ocrsdk.com/. Once you have the application ID and password, set it via the setapp
function.
## Name of Application: factbook
## No. of Pages Remaining: 99
## No. of Fields Remaining: 495
## Application Credits Expire on: 2015-08-28T00:00:00
## Type: Normal
List all the tasks – completed, in progress, queued etc. The function returns a data frame.
## Total No. of Tasks: 30
## No. of Finished Tasks: 22
## Total No. of Tasks: 28
## No. of Finished Tasks: 22
## No tasks in the application.
Deleting an already deleted task will result in an error.
Submit an Image for Processing
Note: I am uploading a sample image that Abbyy provides for free to test its software. You can find this image in the data folder of the package.
## Status of the task: Submitted
## Task ID: 4c088272-003d-4fc7-b0f7-b805495c4466
Process an Image
## Status of the task: Queued
## Task ID: 650d4cd3-964c-40c6-9118-97eecc099b34
Process a Remote Image
processRemoteImage(img_url="https://raw.githubusercontent.com/soodoku/abbyyR/master/inst/extdata/t1.png")
## Status of the task: Submitted
## Task ID: 7f5112b8-6541-435e-86c4-dc978a45749e
Process Document
## Total No. of Tasks: 33
## No. of Finished Tasks: 23
## Status of the task: Queued
Get Results
Go through all the finished tasks and download all the data.


"I recognise you now - you are the picture that hangs at the end of the gallery".
TRIAL BY JURY Original Cast 1875
THE SORCERER Original Cast 1877
HMS PINAFORE Original Cast 1878
PIRATES OF PENZANCE Original Cast 1880
PATIENCE Original Cast 1881
IOLANTHE Original Cast 1882
PRINCESS IDA Original Cast 1884
THE MIKADO Original Cast 1885
RUDDIGORE Original Cast 1887
THE YEOMEN OF THE GUARD Original Cast 1888
THE GONDOLIERS Original Cast 1889
UTOPIA (LIMITED) Original Cast 1893
THE GRAND DUKE Original Cast 1896


{% extends 'base.html' %} {% block title %}{{ request.tenant.name }}{% endblock %} {% block summary %}
Each tenant is on a separate schema and contains different data. Take a look at the users list of this tenant.
You don't have any users!
{% endif %}Click the button below to generate five random users.


1.1. Problem Statement
The general problems to be addressed by the Grader project are the
following:
-
to provide a reliable and secure way for teachers to maintain grading information for a course, computes statistics, and manages electronic submission of graded work
-
to provide a graphical input and customizable grading schemes
-
to provide a way for students to browse overall grade statistics for a class, ask "what if" questions, and browse historical grade trends
The Grader tool provides a solution with certain
functional improvements over existing tools. Specific problem areas are the
following:
-
inability to customize grading schemes
-
no way for students to view overall grade statistics
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| Next: personnel
| Up: intro
| Top: index


A Gap Between Data Science Results and Real World Impact
There are two types of data scientists: type B and type A. Type B is for building and type A is for analysis. Corresponding to these two types, in data science projects, I worry about two potential outcomes the most. One, models do not get into the production system. Two, insight do not result in an action. These two demoralizing outcomes happen in the transition from data science to other domains: one is from data science to software engineering, and the other is from data science to business execution. These two transitions are critical pathways to create real world impact, therefore the stake is high to succeed in these transitions. During the handover, software engineers may say the models do not meet their engineering standards, business partners may claim the insight interesting but take no action. Those “causalities” prevent data science results from ever seeing the sun light and have happened to data scientists in field (link).
These two outcomes are more worrisome than other typical data science challenges because we cannot control the fate of our data science results after the handover. Despite having a very limited control, we should take actions to influence these two outcomes. Model deployment means differently in different organizations, however it is agreed that writing production level code helps data scientist with deployment. Trey Causey lays out some top to-dos for data scientists in writing production level code in his blog here. In short, make your code modular, create documentations, use version control, include logging and set up testing. Many data scientists code in top-down imperative style; this style create barriers in working with software engineers. To make deployment efforts smooth, write production level code.
What was most significant about the lunar voyage was not that man set foot on the Moon but that they set eye on the earth.
A Chinese tale tells of some men sent to harm a young girl who, upon seeing her beauty, become her protectors rather than her violators. That's how I felt seeing the Earth for the first time. I could not help but love and cherish her.
For those who have seen the Earth from space, and for the hundreds and perhaps thousands more who will, the experience most certainly changes your perspective. The things that we share in our world are far more valuable than those which divide us.
The Final Frontier
There can be no thought of finishing for ‘aiming for the stars.’ Both figuratively and literally, it is a task to occupy the generations. And no matter how much progress one makes, there is always the thrill of just beginning.
There can be no thought of finishing for ‘aiming for the stars.’ Both figuratively and literally, it is a task to occupy the generations. And no matter how much progress one makes, there is always the thrill of just beginning.
The dreams of yesterday are the hopes of today and the reality of tomorrow. Science has not yet mastered prophecy. We predict too much for the next year and yet far too little for the next ten.
Spaceflights cannot be stopped. This is not the work of any one man or even a group of men. It is a historical process which mankind is carrying out in accordance with the natural laws of human development.
Reaching for the Stars
As we got further and further away, it [the Earth] diminished in size. Finally it shrank to the size of a marble, the most beautiful you can imagine. That beautiful, warm, living object looked so fragile, so delicate, that if you touched it with a finger it would crumble and fall apart. Seeing this has to change a man.
Space, the final frontier. These are the voyages of the Starship Enterprise. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.
As I stand out here in the wonders of the unknown at Hadley, I sort of realize there’s a fundamental truth to our nature, Man must explore, and this is exploration at its greatest.
Placeholder text by Space Ipsum. Photographs by NASA on The Commons.


A recent study [ 52] used a scenario-based approach to propose a larger remaining carbon budget for limiting warming to below 1.5°C than the IPCC-AR5 assessment [ 15]. This was based, in part, on applying ranges of ESM-based uncertainty in the warming response to cumulative CO 2 emissions to deduce remaining budgets for further warming above the present-day climate state, but did not try to further constrain the TCRE or effective TCRE from the ESM range. Here, we have analysed the implications of the observational record of warming and cumulative CO 2 emissions to update previous observational constraints on the TCRE. While uncertainties associated with natural variability and poorly constrained ERF of non-CO 2 climate forcers are generally large, we find a best-estimate TCRE from an attribution analysis of the historical record of 1.31 K/TtC, in the lower half of the IPCC-AR5 likely range, with uncertainties approximately spanning the 0.8–2.5 K/TtC AR5 TCRE range (0.88–2.60°C/TtC 5–95% range). We find a higher upper uncertainty bound on TCRE than found using observational constraints in [ 2], possibly associated with the different methodologies for accounting for uncertainty in the fractional contribution of CO 2-induced warming to total forced warming. Differences over the historical period between ESMs and observations seem to arise in part from a higher mean CO 2-induced warming in the ESM ensemble, rapid non-CO 2 warming since 2000 in some ESMs, and from lower than observed diagnosed cumulative CO 2 emissions for many members of the ESM ensemble.
Based on our best-estimate of the historical effective TCRE (1.84°C/TtC), assuming a constant effective TCRE into the future would be compatible with a best-estimate 520 GtC remaining budget (approx. 47 years of current emissions—all budgets given to nearest 5 GtC) for 2°C and 250 GtC (approx. 23 years of current emissions) for 1.5°C. Using global air-temperature warming from ESM simulations only, IPCC-AR5 assessed that limiting warming below 2°C relative to preindustrial, with a probability greater than 66%, requires cumulative carbon emissions (since preindustrial) to remain below 790 GtC (top purple cross in figure 1c). AR5 Synthesis Report [ 15] provided a 615 GtC all-time budget for remaining below 1.5°C in 66% of CMIP5 RCP8.5 simulations (assuming a constant effective TCRE compatible with the 2°C budget would imply a 1.5°C all-time budget of 590 GtC). Subtracting the latest estimates of historical emissions, updated to 2016 inclusive (565 GtC, [ 24]), the remaining cumulative carbon emissions consistent with the 1.5°C and 2°C target could be inferred as 50 and 225 GtC, respectively, equivalent to approximately 5 and 20 years of present-day emissions. As the ESM distribution lies to the top end or even outside of the uncertainty distribution for the historical effective TCRE, estimates of the carbon budget to keep warming likely below 1.5°C based on the upper end of the ESM effective TCRE distribution may be overly restrictive.
The observational uncertainties that we consider here do not include the effect of methodological choices for both historical warming and cumulative emissions, which can be large. As a sensitivity exercise we use the Berkeley Earth temperature dataset [ 23] (which displays a larger warming from preindustrial than HadCRUT4-CW), and the recently released GCP 2017 dataset [ 25], which includes a substantial increase in the best-estimate of historical land-use change CO 2 emissions. Using the Berkeley Earth temperature dataset (electronic supplementary material, figure S5) would increase the estimated effective TCRE best-estimate to 2.05°C/TtC (1.46°C/TtC for the CO 2-only TCRE), while using the 2017 GCP dataset (electronic supplementary material, figure S6) would reduce the effective TCRE best-estimate to 1.72°C/TtC (1.23°C/TtC for CO 2-only TCRE), with widened uncertainty bounds associated with greater uncertainty over historical land-use change emissions.
There are several reasons to be cautious about extrapolating carbon budgets from effective TCRE estimates derived from historical data alone. Inferences from the historical period may not be particularly useful for understanding climate changes under very high future emission scenarios. Climate feedbacks may evolve substantially over time [ 53], leading to increases in important climate response parameters such as the transient climate response beyond the first doubling of CO 2 [ 54]. However, for very ambitious mitigation scenarios, changes in the transient climate response and the effect of additional carbon-cycle feedbacks on remaining budgets would be expected to be much smaller than seen under high future emission scenarios. Therefore, if risks of ‘tipping-point’ Earth system feedbacks below 2°C are small, the historical record could indeed offer relevant information about the TCRE that is useful for assessments of pathways to meet ambitious mitigation goals. However, the risk of currently unpredicted and unmodelled Earth system feedbacks still remains possible and acts as a caveat on all inferences about remaining carbon budgets from the historical period. The probability of additional Earth system feedback, and its impact on remaining carbon budgets, should be a topic for further scientific investigation.
An additional important caveat regarding the use of the historical record to constrain remaining carbon budgets is the extent to which the future relationships between CO 2-induced warming, non-CO 2-induced warming and natural variability are likely to change. As emissions of CO 2 and other climatically important gases are co-emitted in many cases, it remains unclear to the extent that CO 2 and non-CO 2 mitigation can be considered separable at a global scale, given uncertainties in future technological development and economic demand [ 55]. Rogelj et al. [ 56] indicates that future emission scenarios span a wide range of best-estimate contributions from non-CO 2 warming at the time of crossing temperature thresholds, which, when convolved with the physical uncertainties for a specific emission scenario (see electronic supplementary material, figure S4), leads to substantial uncertainty regarding the relative changes in the fractional contribution of non-CO 2 warming to temperature thresholds.
If future non-CO 2 mitigation could be implemented to reduce the fraction of non-CO 2 warming below today's levels by the time of net-zero CO 2 emissions, then remaining budgets would be further extended. For example, if this fraction could be reduced to approximately 15% at peak warming, our best-estimate remaining budgets for 1.5°C and 2°C may be extended to approximately 730 and 410 GtC, respectively (based on the best-estimate CO 2-only TCRE), indicating the potential importance of this uncertainty for ambitious mitigation policy. Understanding possible future evolutions of this fraction under climate policy therefore remains an important challenge for further research.
Given the currently irreducible uncertainties in observationally based estimates of the TCRE, prudent climate policy to hedge against the possibility of a high TCRE is required. However, climate policies should ideally be designed to incorporate new information about the climate response into the ratcheting up of mitigation ambition over the century, as we learn more about the climate response over time. Earth system modelling approaches that more directly parallel the Paris Agreement's goal-driven pledge and review mechanism to end up with stabilized warming at specific thresholds [ 57] may be more effective ways of using Earth system modelling frameworks to assess what future mitigation pathways might be consistent with ambitious mitigation goals.


Subtotal: {{order.getSubtotal() | currency}}
Taxes: {{order.getTax() | currency}}
Total: {{order.getTotal() | currency}}


Search Catalogue of Life for for direct children of a particular taxon.
col_children(name = NULL, id = NULL, format = NULL, start = NULL,
checklist = NULL, ...)
Arguments
- name
- The string to search for. Only exact matches found the name given
will be returned, unless one or wildcards are included in the search
string. An * (asterisk) character denotes a wildcard; a
character may also be used. The name must be at least 3 characters long,
not counting wildcard characters.
- id
- The record ID of the specific record to return (only for scientific
names of species or infraspecific taxa)
- format
- format of the results returned. Valid values are format=xml and
format=php; if the format parameter is omitted, the results are returned
in the default XML format. If format=php then results are returned as a
PHP array in serialized string format, which can be converted back to an
array in PHP using the unserialize command
- start
- The first record to return. If omitted, the results are returned
from the first record (start=0). This is useful if the total number of
results is larger than the maximum number of results returned by a single
Web service query (currently the maximum number of results returned by a
single query is 500 for terse queries and 50 for full queries).
- checklist
- The year of the checklist to query, if you want a specific
year's checklist instead of the lastest as default (numeric).
- ...
- Curl options passed on to
GET
Value
A list of data.frame's.
Details
You must provide one of name or id. The other parameters (format
and start) are optional.
Examples
## Not run: ------------------------------------
# # A basic example
# col_children(name="Apis")
#
# # An example where there is no classification, results in data.frame with
# # no rows
# col_children(id='b2f88f382aa5568f93a97472c6be6516')
#
# # Use a specific year's checklist
# col_children(name="Apis", checklist=2012)
# col_children(name="Apis", checklist=2009)
#
# # Pass in many names or many id's
# out <- col_children(name=c("Buteo","Apis","Accipiter","asdf"),
# checklist = "2012")
# out$Apis # get just the output you want
# library("plyr")
# ldply(out) # or combine to one data.frame
#
# # or pass many id's
# ids <- c('abe977b1d27007a76dd12a5c93a637bf',
# 'b2f88f382aa5568f93a97472c6be6516')
# out <- col_children(id = ids, checklist=2012)
# library("plyr")
# ldply(out) # combine to one data.frame
## ---------------------------------------------


{% extends "base_generic.html" %} {% block content %}
Welcome to LocalLibrary, a website developed by Xmong with tutorials of Mozilla Developer Network!
The library has the following record counts:
Weather of {{ weather_data.name }}:
You have visited this page {{ num_visits }}{% if num_visits == 1 %} time{% else %} times{% endif %}.
{% endblock %}


I'm Gopal Gowda. I'm a Software Engineer, traveller and a fashionist.
I'm a very optimistic person who always believe in one mantra "What you give you will get back". A great lover of western and Indian music. My favorite music troops are Chain Smokers, Clean Bandit and Fifth Harmony. Will create a music page and you will get to know all of my favorite music albums too. Recently I have started learning to play guitar which kind of a refresher for me to learn something new which is always good to boost your confidence and get going.
I love hitting gym and also do participate in the running events to keep myself fit. I'm a foodie who love everything cooked by my mother. There's lot to talk about me and yeah let us catch up on any of the social networks mentioned on the contacts page.


1935 - Isao Takahata is born in Ujiyamada (Ise), Mie Prefecture, Japan. He is the youngest of seven siblings.
1945 - Takahata and his family survive a major US air raid on Okayama City. His experiences during this time would later act as inspiration for several sequences in his antiwar film, Grave of the Fireflies.
1959 - Takahata graduates from the University of Tokyo with a degree in French literature and joins Toei Animation.
1968 - Takahata directs his first animated feature film, The Great Adventure of Horus, Prince of the Sun, with Hayao Miyazaki as lead animator. The two become close friends.
1985 - Miyazaki and Takahata co-found their own animation studio, Studio Ghibli. The name is inspired by the Italian term ghibli, adapted from the Arabic word for the hot desert winds. Miyazaki hoped that their new studio would "blow a new wind through the anime industry."
1988 - Takahata's first Ghibli film, Grave of the Fireflies, is released alongside Miyazaki's My Neighbor Totoro. Both films receive critical acclaim, and the loveable Totoro becomes Studio Ghibli's mascot.
1991 - Only Yesterday is released in theaters. The movie follows an officeworker reminiscing about her childhood as she takes a trip back to her rural hometown. An English-language version is not released until its 25th anniversary in 2016, leading some fans to refer to it as the "lost" Ghibli film.
1994 - Pom Poko is released in theaters. It tells the story of a group of mythical creatures called tanuki trying to save their forest home from urban development.
1999 - My Neighbors the Yamadas, a film adaptation of a popular Japanese comic strip, is released in theaters. A critical and commercial failure, Takahata decides to take on a more behind-the-scenes role at Studio Ghibli for a time.
2013 - Takahata's last film, The Tale of Princess Kaguya, is released. Based on a classic Japanese folktale, it was nominated for Best Animated Feature at the 87th Academy Awards.
2018 - Takahata dies of lung cancer on April 5th at a hospital in Tokyo. He was 82.
"Paku-san [Takahata's nickname], in those days we were living with all our might. You stood tall without bending to any hardships. This was an attitude we all shared. Thank you, Paku-san."
--Hayao Miyazaki at Isao Takahata's memorial service


I'm a computer scientist. Graduated from Tecnológico de Monterrey in December 2016. I speak both English and Spanish fluently, and a tiny bit of esperanto (because why not?). On my free time I enjoy twisty puzzles, juggling, video games, origami and pokémon hunting.
Here are some of the projects I've worked on during my time as a student.
A web based real-time multiplayer game using Angular, NodeJS, websockets and MongoDB. Abusing the fact that wikipedia is a huge graph of linked pages, the game challenges you to reach a random page from another using the last amount of links possible. All of this can be done while competing with others. You can try the concept by using the old version found here.
Real time web multiplayer game using websockets and webgl. Babylon was used as a library for webgl. A small experiment mimicking the tron bike game.
Part of a bigger application. This microservice keeps track of habits on a task and habit building application. This microservice was built using the MongoDB, NodeJS and Express. It works by exposing a REST API for other services to use.
Web based game for twisty puzzle entuciast. Keeps track of scores related to each solve: time and moves.
Users can see themselves on leaderboards and share a simulation of their solve. However, the fun in the project
comes from the simulation itself. It defines a puzzle in the most general sense as a set of axises that act
on the pieces in its viccinity, which can be shared with other axis, allowing it to be used to simulate many types of
puzzles.
Server was built using MongoDB, Express and NodeJS. While the simulations uses ThreeJS to interact with WebGL.


C79 House / Base taller
- Curated by Clara Ott
- about 7 hours
- version="1.0" encoding="UTF-8"? Architects: Base taller
- AreaArea of this architecture projectArea: 586.0 m2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2015
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Mateo Soto
- version="1.0" encoding="UTF-8"?ManufacturersBrands with products used in this architecture project Manufacturers: Acquafloor, Adobe, AutoDesk, Cedro Rojo, Chaos Group, Krion, Ladrillera Santafé, Trimble
- Lead Architects Diego Fajardo
- Engineering Sodinsa
- Landscaping Mesa y Uribe paisajistas
- Builders Base taller y Espiral Studio
More Specs Less Specs
Text description provided by the architects. One premise defines the design of this house, "a tribute to the landscape." Based on the natural context of the project, the materials, colors, and textures to be used in this house were chosen; an earthy tones palette that mimetize the nature of its surroundings, a landscape that responds to the native, in a few words respect for the natural. Located in a rural zone of La Ceja, Colombia, in the upper part of El Capiro hills, surrounded by vegetation and close to the Capiro nature reserve, where the main water sources of the city are born.
On irregular terrain, three volumes are delicately located respecting the existing topography which generates three different levels, these determine the program of the house; a social volume, a connector, and a private volume. The private volume has a study/library that the family describes as the coziest place in the house, where they can be together on a cold day and feel warm at the same time, it is a space that allows you to enjoy the landscape and technology as well, this is the place where the entertainment center is located. The rest of the private volume consists of two rooms with a bathroom each and the main room at the end of the volume generating a terrace/balcony with a 90 degrees view.
The social volume, on the other hand, is the lowest volume composed of the living room - dining room and a semi-integrated kitchen that allows making this an open integrated space. The kitchen for the family is the element of union where everyone can express their tastes and culinary talents without losing social integration; This space is connected by a large balcony that opens to a view towards the city, at the same time it has a division in the middle that allows two different spaces and atmospheres to be created, an auxiliary dining room and an outdoor room that enjoys the view of the city.
Finally, we have the connector volume, which is responsible for receiving the pedestrian who is walking through a garden of experiences and relationship with vegetation; It reaches a space where the social bathroom and the division of the two volumes are located, thus achieving a physical separation between the private and the social. This module breaks in volumetry with the rest of the house making a difference both inside and outside.