1. Introduction
Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. In the U.S., there are at least 119 bikeshare systems covering all but two of the 20 largest urban areas, while the largest networks by far are in New York, Chicago, and Washington.
With the increasing popularity of bikeshare systems that change citizens’ lifestyles, the understanding of bikeshare systems is a key for city planners and tech startups. The bikeshare system’s social importance lies in a new perspective on monitoring traffic, environmental and health issues, that turns bike sharing system into a virtual sensor network that can be used for sensing mobility in a city. Many private companies in the industry are working on this problem and some also publish their bike use summary datasets for public analysis.
The key question for our project is determining the dominant drivers for daily bikeshare counts. The input for our algorithm is a list of time, weather and user information that might potentially drives aggregated consumer bike uses. I then use a number of machine learning algorithms (stepwise subset feature selection, shrinkage and regularization method, linear and non-linear regression) to construct a few candidate models. Then I compare their performances and select a “best” one that gives a relatively wholistic idea about the key drivers for the daily counts.
2. Data and Features
I used Capital Bikeshare Customer Use data from Capital Bikeshare. Capital Bikeshare is a bicycle sharing company that mainly serves in the Washington, D.C. area in the United States. Users can choose to use the service on a one-time basis, or they could register for an 12-month or 30-day membership and receive a key that allows them to unlock any Capital Bikeshare bike at any Capital Bikeshare station. The system data provided by Capital Bikeshare includes trip history data, an exhaustive collection of bikeshare trip summary dating to 2010.
I explored the Capital Bikeshare User Data from January 2016 to December 2017, mainly focusing on trip history summary user information with variables include year, month, weekday, and member type (registered member or casual user). I also created a daily rides count variable from the original dataset by counting total number of entries by different type of users per day.
To facilitate the analysis about user trends, I also obtained weather data in the Washington, D.C. area from Weather Underground to match our bikeshare trip data by date. I hope to explore the influence of weather variables on bikeshare rides counts, such as temperature, precipitation, and wind speed.
Some examples of our variables are listed in table 1.
3. Methods and Results
3.1. Data Processing
I looked at the distribution of each features and log transformed skewed variables. More specifically, I want to stabilize the variance and meet the assumptions of a statistical test or procedure, such as t-test, ANOVA, regression, etc.
I also checked the correction between the explanatory variables, and removed highly correlated ones (temperature and dew point) to avoid multicollinearity. We created a subset of variables that pass through the multicollinearity check.
Selected Results from Exploratory Data Analysis
Regarding member type, riders on average use the service longer than registered members. Bike share ride duration peaks during summer for both kinds users; in general, there were more rides in spring and summer.
In different seasons, the bike share count varies a lot on different weekdays. This is the area that requires deeper analysis.
3.2 Feature Selection
1) Stepwise Subset Selection
Stepwise subset selection (forward, backward and exhaustive methods) proposes an efficient approach to select best subsets of the independent variables in the model. Forward selection starts from an empty set of features and adds features to the model through cross validation. Backward selection works all the the way around by starting from a full set; the exhaustive one incorporates the two approaches before.
I used two algorithms - automatic selection and all possible regression selection - to perform the stepwise selections.
First, I conducted the automatic selection where the R function step() performs the selection on this own and gives out the best subset of features. Forward selection gives out a model with 10 predictors, while backward and exhaustive suggest one with 7. I calculated the MSE for the two models and found that the one with 10 predictor variables has a lower error.
Then, for all possible regression selection, I compared the models with different numbers of predictors according criteria such as AiC and adjusted R^2. According to Fig.1, the forward selection proposes that the best model constitutes 10 variables. The backward and exhaustive selection methods produce the same result with similar plots.
As a result, through stepwise subset selection, the optimal subset of features contains 10 variables, which included member type, month,weekday, average temperature, average humidity, etc.
2) Shrinkage Method
L1 Regularization (Lasso) is a shrinkage method that regularizes the coefficient by shrinking them toward 0. It has the potential to improve the fit because reducing the estimates help reducing the variance and solves the overfitting problem. The algorithm is designed to minimize the expression (with a shrinkage penalty term) below:
This method can be used for feature selection because shrinking some coefficients to 0 is essentially eliminating the variables in the model.
I passed the full model (with 23 potential variables) to L1 Regularization and used cross validation to choose the best shrinking parameter λ = 38.44728. By passing the best λ into the expression, the L1 regularization methods suggests a model with 12 variables. (See Figure.5)
3.3 Regression
1) Linear Model
I passed in the variables selected by feature selection methods to a standard multiple linear regression to achieve the best coefficient estimates for regression. From the regression summary, we can see that member type and average temperature has the lowest p-value, so they are the most important features in the model. More specifically, keeping everything else equal, the rides count is 4992 units higher registered member users on average per day than casual users; the rides count increases 88.5 units when average temperature is one unit higher in degrees Fahrenheit.
The adjusted R^2 value is 0.7767 for this standard multiple linear regression: about 77.67% of the total variation in the bikeshare rides count can be explained by this model.
2) Lasso Model
I fitted a lasso model on all of the variables of interest. The optimal value of λ (38.44728) for L1-regularization was tuned using 10-fold cross-validation over a grid of log values (Figure 2). Lasso regression gave an output of 11 different features with nonzero coefficient estimates. The features chosen by the Lasso are different to the ones produced by feature selection process: both average temperature and the lowest temperature, and both high wind speed and average wind speed are selected. However, the residuals are not randomly scattered.
3) Generalized additive model - all smoothing splines
I fitted a generalized additive model with smoothing spline for all of the variables selected by feature selection above. For degrees of freedom selection, I used cross-validated mean squared errors.
From the Anova for Parametric Effects in the summary, month, member type, average temperature, and average humidity have the lowest p-values. The p-values are generally smaller than that from the standard multiple linear regression. We can also see that in the Anova for Nonparametric Effects, average sea level press, average wind speed, and low visibility are not statistically significant at significance level of 0.1, there is no strong evidence of non-linear relationship between these predictors and bikeshare count. We would want to create a mixed model with these factors in linear terms.
4) Generalized additive model - partial smoothing splines
I fitted a mixed generalized additive model with the average sea level press, average wind speed, and low visibility in linear terms and all the rest selected variables in smoothing spline. The degrees of freedom are the same as in all smoothing splines generalized additive model.
The AIC criteria improves for the partial smoothing model to 20378.31.The residual plot and the QQ-plot are similar to those for all smoothing splines generalized additive model. The residuals are not randomly scattered in the residual plot, and the homoscedasticity assumption is not met: there exists a non-linear pattern.
4. Model Selection and Validation Result
I used the validation set cross validation method to further compare the performances of the models and select from the four candidates. The “best” model ideally has the lowest test error associated with fitting the model on the observations among the four. The validation set method divides the available dataset randomly into two parts - 80% of the data was used as training set and the rest 20% as test, or validation, set. (To note, I divided the sets in the very beginning and only used the training set for all the steps before.)
The model was tested on the validation set through making predictions, and then the mean squared error is calculated and listed in Table 2 (the original full linear model if I use all possible variables are included as a reference).
Based on the MSE on validation set, I observe that the model with the lowest error is the General Additive Model with partial smoothing splines for continuous variables.
6. Conclusion
Through feature and model selection algorithms, I identified the general additive model that explain the effects of with influential features. Scrutinizing at the features and the smoothed patterns, I observe that:
1) year: there is a significant increase in bikeshare ride counts from 2016 to 2017;
2) month: within a year, the count increases from January to July and slowly gets lower when going into winter months;
3) weekday: within a week, the count is the lowest on mondays, and stays almost the same throughout other weekdays;
4) member type: registered members contribute the majority of bikeshare use, significantly more than casual users;
5) average temperature: bikeshare ride count increases as the average temperature increases, but starts to decline as the temperature goes too high;
6) average humidity: the count tends to decrease as average humidity increases;
7) average sea level pressure: count and average sea level pressure has a positive linear relationship, but has a lot variation at the lower-end and upper-end of the distribution;
8) average wind speed: count and average wind speed has a negative linear relationship, but the variation is large at the lower-end and upper-end of the distribution;
9) lowest visibility: count and lowest visibility has a negative linear relationship, but the variation is large at the lower-end of the distribution;
10) precipitation: bikeshare rides count stays flat as precipitation increases, and starts to decrease steeply as the rain gets too heavy.
This allows me to more accurately capture how the influential factors determine the total daily bikeshare counts. Furthermore, I can potentially extend the application of this project to a possible cyclical marketing campaign that targets on the possible low-count (unpopular) days to potentially drive more profits.
For the next step, I have proposed three routes that we can continue work on:
First, I can potentially expand our dataset more from retrieving all the observations from 2011 to 2017. By doing so, we could 1) confirm if there was an increasing trend in year variable so that the bikeshare system is getting more popular in this past year, 2) conduct time-series analysis on the comprehensive panel data.
In addition, I could add in more potentially influential variables (features) for selection. Currently I only focus in the bike metadata and weather variables. For example, we could explore the potential for a categorical variable called “popular station” indicating whether the bike starts or ends at the popular stations (eg, Columbus Circle / Union Station, Lincoln Memorial) in Washington DC.
Also, I could potentially run a classification, a place of a regression model. Instead of using total daily counts, we could identify the popularity of the bikeshare in a specific day. For example, the day is popular if total daily bikeshare rides exceeds 5000 count.
I also want to point out the limitations in our analysis. Instead of only passing in the log-transformed variables to the generalized additive model, I could have asked the smoothing model to take care of the skewed predictors. In future study, I would like to see if doing so would improve model performance on testing data.
Special Thanks to - Ziyi Lu


{{header "/Views/Shared/header.html"}} Datasilk Core Template This website was generated by Datasilk's Core Template using ASP.NET Core. {{user}}Welcome, {{username}}! Log Out{{/user}} {{no-user}}Log In{{/no-user}}


Full Disclaimer I am not a Data Scientist and these are just my getting started notes.
In the previous blog article, we defined through Wikipedia what Data Science is and looked at some important subjects to master to better grasp Data Science theory.
This article will be centered on specific tooling in languages such as Python.
In order to facilitate our entry into Data Science, we will be using the Anaconda Distribution.
This distribution will let us easily download popular packages and tools and provide IDEs for us to use.
Downloading Anaconda
The first thing that you need to do is to Download Anaconda
Anaconda Distribution is available for Mac OS X, Windows and Linux.
You can also pick between Python 2.7 and Python 3.7 Versions.
Python 2.7 is about to reach end of support and development, so if possible try to use Python 3.7
Starting Anaconda
Once you install anaconda you simply need to launch the application, since I am using Mac OS X, I will click on the anaconda navigator application to start up anaconda.
You simply need to click the install button and then click the launch button to get your integrated development environment running.
Let us get Jupyter Notebooks running in our system by clicking the launch button in Anaconda.
Once you do that jupyter will launch a new shell session that will run jupyter notebook
under the hood with the following executable programs installed by the anaconda distribution:
You will get a new browser window that will run in localhost port 8888 and open your home directory in your machine:
I have already navigated to a new repository that I created for this blog article where you can find the source code at intro to data science
Creating a new jupyter notebook
In order to get a new Jupyter notebook you simply need to click the New button and pick the environment for the notebook to run against.
We will pick Python 3 for this article but you can pick other options if you need to.
Once you click an option a new tab will be opened with your new jupyter notebook for you to start with like this:
In our new notebook we are printing out the text “Intro to Data Science!” but notice that we have a new interactive shell session running!
Saving jupyter notebook
Until you save your notebook you will have an untitled notebook kind of like this: Untitled.ipynb
We will name this jupyter notebook by clicking the File icon and then the Save As icon like this:
Writing Markdown in Jupyter cell
You are not restricted to just writing python code into a Jupyter cell, you can also write markdown by toggling dropdown like this:
Importing libraries in Jupyter
You can simply write python code and then click the run button and highlight the cell to execute like this:
Next article
The next blog article will center around using the spyder IDE and we will write some R code and do use the ipython shell.
Contact Information
If you like this post then please follow me at jbelmont @ github and jbelmont80 @ twitter for more related type posts.
Feel free to leave a comment if you like.
Until Next Time :)


Thank you for installing BetterRead!
We hope by using BetterRead, we can make your internet browsing experience easier.
The following is short quick-start guide to using BetterRead.
How to use:
- On any webpage that you want read to you press Ctrl+Shift+S (Command on Mac)
- You can also click on the BetterRead logo next to the address bar and click the "Speak Page" button
- While the page is being read, you can press Ctrl+Shift+S or the "Speak Page" button again to stop the narration
- You can change how the page is read to you and the keybind to activate the narration in the settings page
- You can access the options page again by clicking the BetterRead logo and click the "Options" button
Note: Pages that start with chrome://, edge://, or about: cannot be read by BetterRead, sorry!


|
Team 302 Robot
|
This class handles the analog inputs on a gamepad. More...
#include <AnalogAxis.h>
Public Member Functions | |
| AnalogAxis (frc::GenericHID *gamepad, int axisID, bool flipped) | |
| construct the AnalogAxis object More... | |
| double | GetAxisValue () |
| Read the analog (axis) value and return it. If the gamepad has an issue, return 0.0. More... | |
| void | SetDeadBand (IDragonGamePad::AXIS_DEADBAND type) |
| Set the deadband type. More... | |
| void | SetAxisProfile (IDragonGamePad::AXIS_PROFILE profile) |
| Set the axis profile (cubed, linear, etc.) More... | |
| void | SetAxisScaleFactor (double scale) |
| Set the axis scale factor (default is 1.0) More... | |
Protected Member Functions | |
| virtual double | GetRawValue () |
| Returns the analog input's raw value. If there is a connection problem, 0.0 will be returned and a debug message will be written. More... | |
This class handles the analog inputs on a gamepad.
Definition at line 39 of file AnalogAxis.h.
| AnalogAxis::AnalogAxis | ( | frc::GenericHID * | gamepad, |
| int | axisID, | ||
| bool | flipped | ||
| ) |
construct the AnalogAxis object
| [in] | frc::GenericHID* | gamepad - gamepad to query |
| [in] | int | axisID - id this axis maps to |
| [in] | bool | flipped - true the axis is reversed from what is expected, false the axis has the expected direction. |
Definition at line 57 of file AnalogAxis.cpp.
| double AnalogAxis::GetAxisValue | ( | ) |
Read the analog (axis) value and return it. If the gamepad has an issue, return 0.0.
Definition at line 77 of file AnalogAxis.cpp.
|
protectedvirtual |
Returns the analog input's raw value. If there is a connection problem, 0.0 will be returned and a debug message will be written.
Definition at line 178 of file AnalogAxis.cpp.
| void AnalogAxis::SetAxisProfile | ( | IDragonGamePad::AXIS_PROFILE | profile | ) |
Set the axis profile (cubed, linear, etc.)
| IDragonGamePad::AXIS_PROFILE | profile - profile option |
| profile | - axis profile |
Definition at line 135 of file AnalogAxis.cpp.
| void AnalogAxis::SetAxisScaleFactor | ( | double | scale | ) |
Set the axis scale factor (default is 1.0)
| double | scale - value greater than 0.0 |
| scale | - sacle factor |
Definition at line 166 of file AnalogAxis.cpp.
| void AnalogAxis::SetDeadBand | ( | IDragonGamePad::AXIS_DEADBAND | type | ) |
Set the deadband type.
| IDragonGamePad::AXIS_DEADBAND | type - deadband option |
| type | - deadband option |
Definition at line 102 of file AnalogAxis.cpp.


BNO_PLOT
Section: (1)Updated: February 22, 2007
Index Return to Main Contents
NAME
bno_plot - generate interactive 3D plot of IO blocks and sizes
SYNOPSIS
bno_plot [ -h | --help ][ -v | --verbose ]
[ -K | --keys-below ]
[ <file...> ]
DESCRIPTION
bno_plot is a visualization tool for the block layer IO tracing tool called blktrace(8). As noted in its documentation, blktrace is a block layer IO tracing mechanism which provides detailed information about request queue operations up to user space.
bno_plot utilizes gnuplot to generate a 3D plot of the block number output from btt. If no <files> are specified, it will utilize all files generated after btt was run with -B blknos (meaning: all files of the form blknos*[rw].dat).
The -K option forces bno_plot to put the keys below the graph. If it is not specified, all keys for input files are put in the upper right corner of the graph. If the number of devices exceed 10, then bno_plot will automatically push the keys under the graph.
To use this utility, the gnuplot package needs to be installed.
To exit the plotter, enter 'quit' or ^D at the 'gnuplot> ' prompt.
AUTHORS
bno_plot was written by Alan D. Brunelle. This man page was created from the blktrace documentation by Bas Zoetekouw.
REPORTING BUGS
Report bugs to<EMAIL_ADDRESS>Copyright © 2008 Hewlett-Packard Development Company, L.P.This is free software. You may redistribute copies of it under the terms of the GNU General Public License <http://www.gnu.org/licenses/gpl.html>. There is NO WARRANTY, to the extent permitted by law.
This manual page was created for Debian by Bas Zoetekouw. It was derived from the documentation provided by the authors and it may be used, distributed and modified under the terms of the GNU General Public License, version 2.
On Debian systems, the text of the GNU General Public License can be found in /usr/share/common-licenses/GPL-2.
SEE ALSO
btt (1), gnuplot (1), blktrace (8), blkparse (1), verify_blkparse (1), blkrawverify (1)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:02 GMT, December 24, 2015


---
layout: page
title: Kids Books
permalink: /kidsbooks/
---
I read a fair number of kids books in my line of work. Some are excellent, while others should never have been published. Here's a short record (updated sporadically).
The Good
- Horton Hatches an Egg, by Dr. Seuss. "An elephant's faithful 100 percent", ending is biologically implausible.
- Church mice books, by Graham Oakley. Classic British humor.
- Salty Dog books, by Gloria and Ted Rand. Great art, and fun sailing stories.
- Katy and the Big Snow, by Virginia Lee Burton.
- Something Big has Been Here, by Jack Prelutsky. Fun poems with the largest vocabulary of any kids book I've ever seen.
- Most books by Dr. Seuss
- The 12 original Magic School Bus books (not the movie tie-in books, or the Scholastic reader books)
- Most Dorling-Kindersley Eyewitness books (example)
- Christina Katerina and the Box, Patricia Lee Gauch
The Bad
- Clifford books
- Amelia Bedelia books
- Pretty much any Disney or movie/show/product tie-in book


Pet
Stats
level:
attack:
defense:
Controls
Feed me!
Made By
Clark Phan
Anh Ngo
Alvin Nguyen
Antony Nguyen


File Not Found
The page you were looking for was not found or is not available.
Go back to the application homepage
Visit Angie on GitHub
Read the Angie documentation


APP-NAME field of the Syslog message as defined in RFC 5424 - The syslog Protocol.
The APP-NAME field SHOULD identify the device or application that
originated the message. It is a string without further semantics.
It is intended for filtering messages on a relay or collector.
The NILVALUE MAY be used when the syslog application has no idea of
its APP-NAME or cannot provide that information. It may be that a
device is unable to provide that information either because of a
local policy decision, or because the information is not available,
or not applicable, on the device.
This field MAY be operator-assigned.


twirling baton
`Prev `__
T
`Next `__
--------------
**twirling baton**: n.
[PLATO] The overstrike sequence -/\|\\-/\|\\- which produces an animated
twirling baton. If you output it with a single backspace between
characters, the baton spins in place. If you output the sequence BS SP
between characters, the baton spins from left to right. If you output BS
SP BS BS between characters, the baton spins from right to left. This is
also occasionally called a twiddle prompt.
The twirling baton was a popular component of animated signature files
on the pioneering PLATO educational timesharing system. The **archie**
Internet service is perhaps the best-known baton program today; it uses
the twirling baton as an idler indicating that the program is working on
a query. The twirling baton is also used as a boot progress indicator on
several BSD variants of Unix; if it stops, you're probably going to have
a long and trying day.
--------------
+--------------------------+----------------------------+---------------------------+
| `Prev `__ | `Up <../T.html>`__ | `Next `__ |
+--------------------------+----------------------------+---------------------------+
| twink | `Home <../index.html>`__ | two pi |
+--------------------------+----------------------------+---------------------------+


Beta-version Functions¶
This python module (beta_version) contains functions that have been used in research work but yet with proper documentatoins and interface.
-
beta_version.
solve_uref_both_bc
(tstamp, zmum, FAWA_cos, ylat, ephalf2, Delta_PT, zm_PT, Input_B0, Input_B1, use_real_Data=True, plot_all_ref_quan=False)[source]¶ Compute equivalent latitude and wave activity on a barotropic sphere.
- Parameters
tstamp (string) – Time stamp of the snapshot of the field.
znum (ndarray) – Zonal mean wind.
FAWA_cos (ndarray) – Zonal mean finite-amplitude wave activity.
ylat (sequence or array_like) – 1-d numpy array of latitude (in degree) with equal spacing in ascending order; dimension = nlat.
ephalf2 (ndarray) – Epsilon in Nakamura and Solomon (2010).
Delta_PT (ndarray) – Delta Theta in Nakamura and Solomon (2010); upper-boundary conditions.
zm_PT (ndarray) – Zonal mean potential temperature.
Input_B0 (sequence or array_like) – Zonal-mean surface wave activity for the lowest layer (k=0). Part of the lower-boundary condition.
Input_B1 (sequence or array_like) – Zonal-mean surface wave activity for the second lowest layer (k=1). Part of the lower-boundary condition.
use_real_Data (boolean) – Whether to use input data to compute the reference states. By detault True. If false, randomly generated arrays will be used.
plot_all_ref_quan (boolean) – Whether to plot the solved reference states using matplotlib library. By default False. For debugging.
- Returns
u_MassCorr_regular_noslip (ndarray) – 2-d numpy array of mass correction Delta u in NS10 with no-slip lower boundary conditions; dimension = (kmax,nlat).
u_Ref_regular_noslip (ndarray) – 2-d numpy array of zonal wind reference state u_ref in NS10 with no-slip lower boundary conditions; dimension = (kmax,nlat).
T_MassCorr_regular_noslip (ndarray) – 2-d numpy array of adjustment in reference temperature Delta T in NS10 with no-slip lower boundary conditions; dimension = (kmax,nlat).
T_Ref_regular_noslip (ndarray) – 2-d numpy array of adjustment in reference temperature T_ref in NS10 with no-slip lower boundary conditions; dimension = (kmax,nlat).
u_MassCorr_regular_adiab (ndarray) – 2-d numpy array of mass correction Delta u in NS10 with adiabatic lower boundary conditions; dimension = (kmax,nlat).
u_Ref_regular_adiab (ndarray) – 2-d numpy array of zonal wind reference state u_ref in NS10 with adiabatic lower boundary conditions; dimension = (kmax,nlat).
T_MassCorr_regular_adiab (ndarray) – 2-d numpy array of adjustment in reference temperature Delta T in NS10 with adiabatic lower boundary conditions; dimension = (kmax,nlat).
T_Ref_regular_adiab (ndarray) – 2-d numpy array of adjustment in reference temperature T_ref in NS10 with adiabatic lower boundary conditions; dimension = (kmax,nlat).


--- layout: post title: Oz firm seeks talented IT developer • The Register date: '2010-01-12T04:10:00.001Z' author: solrevdev tags: modified_time: '2010-01-12T04:10:06.970Z' blogger_id: tag:blogger.com,1999:blog-31446756.post-1746274100286880755 blogger_orig_url: http://www.solrevdev.com/2010/01/oz-firm-seeks-talented-it-developer.html ---


The Code52 gang are putting together some stylesheets and resources for people looking to get more familiar with Metro.
Much like the Twitter Bootstrap project (which was one of the inspirations for this project), the site uses LESS to build the stylesheets on-the-fly. So if you wanted to test this locally, you'd need something like Jekyll or our own Pretzel to serve up the content (as the generation is done using Javascript and you will likely encounter file:// permission issues).
While you can just go and grab the code from GitHub, feel free to click around the site and see more for yourself.


| Opcode/Instruction | Op/En | 64/32 bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
| EVEX.LLIG.F2.0F38.W0 9B /r V4FMADDSS xmm1{k1}{z}, xmm2+3, m128 | A | V/V | AVX512_4FMAPS | Multiply scalar single-precision floating-point values from source register block indicated by xmm2 by values from m128 and accumulate the result in xmm1. |
| EVEX.LLIG.F2.0F38.W0 AB /r V4FNMADDSS xmm1{k1}{z}, xmm2+3, m128 | A | V/V | AVX512_4FMAPS | Multiply and negate scalar single-precision floating-point values from source register block indicated by xmm2 by values from m128 and accumulate the result in xmm1. |
| Op/En Tuple Operand 1 Operand 2 Operand 3 Operand 4 |
| A Tuple1_4X ModRM:reg (r, w) EVEX.vvvv (r) ModRM:r/m (r) NA |
This instruction computes 4 sequential scalar fused single-precision floating-point multiply-add instructions with a sequentially selected memory operand in each of the four steps.
In the above box, the notation of “+3” is used to denote that the instruction accesses 4 source registers based that operand; sources are consecutive, start in a multiple of 4 boundary, and contain the encoded register operand.
This instruction supports memory fault suppression. The entire memory operand is loaded if the least significant mask bit is set to 1 or if a “no masking” encoding is used.
The tuple type Tuple1_4X implies that four 32-bit elements (16 bytes) are referenced by the memory operation portion of this instruction.
Rounding is performed at every FMA boundary. Exceptions are also taken sequentially. Pre- and post-computational exceptions of the first FMA take priority over the pre- and post-computational exceptions of the second FMA, etc.
src_reg_id is the 5 bit index of the vector register specified in the instruction as the src1 register. define NFMA_SS(vl, dest, k1, msrc, regs_loaded, src_base, posneg): tmpdest ← dest // reg[] is an array representing the SIMD register file. IF k1[0] or *no writemask*: FOR j ← 0 to regs_loaded - 1: IF posneg = 0: tmpdest.single[0] ← RoundFPControl_MXCSR(tmpdest.single[0] - reg[src_base + j ].single[0] * msrc.single[j]) ELSE: tmpdest.single[0] ← RoundFPControl_MXCSR(tmpdest.single[0] + reg[src_base + j ].single[0] * msrc.single[j]) ELSE IF *zeroing*: tmpdest.single[0] ← 0 dest ← tmpdst dest[MAX_VL-1:VL] ← 0 V4FMADDSS and V4FNMADDSS dest{k1}, src1, msrc (AVX512) VL = 128 regs_loaded ← 4 src_base ← src_reg_id & ~3 // for src1 operand posneg ← 0 if negative form, 1 otherwise NFMA_SS(vl, dest, k1, msrc, regs_loaded, src_base, posneg)
V4FMADDSS __m128 _mm_4fmadd_ss(__m128, __m128x4, __m128 *);
V4FMADDSS __m128 _mm_mask_4fmadd_ss(__m128, __mmask8, __m128x4, __m128 *);
V4FMADDSS __m128 _mm_maskz_4fmadd_ss(__mmask8, __m128, __m128x4, __m128 *);
V4FNMADDSS __m128 _mm_4fnmadd_ss(__m128, __m128x4, __m128 *);
V4FNMADDSS __m128 _mm_mask_4fnmadd_ss(__m128, __mmask8, __m128x4, __m128 *);
V4FNMADDSS __m128 _mm_maskz_4fnmadd_ss(__mmask8, __m128, __m128x4, __m128 *);
Overflow, Underflow, Invalid, Precision, Denormal.
See Type E2; additionally
| #UD | If the EVEX broadcast bit is set to 1. |
| #UD | If the MODRM.mod = 0b11. |


Oil tanker owner denies causing massive spill off Brazil's coast
by Daniel BellamyThe owner of a tanker that Brazil accuses of causing a massive oil spill that has plagued its northeastern coastline since September has denied responsibility for it.
On Friday, Brazilian investigators said the Bouboulina carrying Venezuelan crude was the source of the spill.
Delta Tankers said the tanker left Venezuela in July bound for Malaysia and that the trip proceeded "uneventfully".
The Greek company said that video footage from onboard the ship showed no oil leak had occurred.
The prosecutors conducting the probe say they've found strong evidence that the company, the captain and the vessel’s crew failed to communicate to authorities about the oil spill.
The Brazilians said the tanker appears to have spilt the crude about 700 km off Brazil’s coast around July 28-29, after loading the oil in Venezuela.
The contradicting accounts have brought a dramatic twist into the causes of the mysterious oil spill that has stained tropical beaches along 2,500 km of Brazil’s coast.
On Saturday, Delta said the material obtained from an analysis of its security equipment will be shared with Brazilian authorities when they contact the company regarding the investigation, adding that no such contact has been made.
Brazil’s solicitor general has said he would seek damages in the case, which has hurt tourism and coastal fishing communities.


Structures
The following structures are available globally.
-
Struct used to enapsulate configuration values, i.e. LogrService.
See moreDeclaration
Swift
public struct Config
-
Immutable struct encapsulating all log message data.
See moreDeclaration
Swift
public struct Message : Equatable
-
Immutable struct for encapsulating meta information of the log message.
See moreDeclaration
Swift
public struct MetaInfo : Equatable
-
Immutable struct used to encapsulate consolet target configuration values.
See moreDeclaration
Swift
public struct ConsoleTargetConfig
-
Undocumented
See moreDeclaration
Swift
public struct FileTargetConfig


Mawryngkhang , Wahkhen
Living Root Bridge,Mawlynnong
Rngain,Pynursla
Seven Sisters Falls, Sohra
Rymben Falls,Lapalang
Mawtyngkong Falls,Nongthymmai
Langkawet,Pynursla
Pongtung Falls
Living Root Bridge,Mawkyrnot
Kynroh Arliang,Dawki-Pynursla road
Mawjngih Lapynshongdor view Point
Byrdaw Falls,Pomshutia
Umkrem Falls
Wards Lake Shillong
Nohkalikai Falls Sohra


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--- layout: default title: "404 page" permalink: /404.html redirect_from: - /norobots/ - /assets/ - /posts/ ---


In this example, what are we looking for? Put everything else into the compound interest formula and solve for the missing variable.


Status:
Queue
General Chatroom:
Send
Current Room:
null
Opponent:
null
Room Chatroom:
Send
LEAVE ROOM


Represents an Owner/User/Group that can be given permissions on a bucket or object. More...
Inherits S3Owner.
Public Member Functions | |
| (NSString *) | - toXml |
| Returns the XML representation of the grantee. | |
Static Public Member Functions | |
| (id) | + granteeWithID:withDisplayName: |
| Returns an initialized S3Grantee object representing a CanonicalUser with the specified ID and displayName. | |
| (id) | + granteeWithURI: |
| Returns an initialized S3Grantee representing a group with the specified URI. | |
| (id) | + granteeWithEmailAddress: |
| Returns an initialized S3Grantee representing a user with the specified email address. | |
| (id) | + allUsers |
| Represents the group of all users. | |
| (id) | + authenticatedUsers |
| Represents the group of authenticated users. | |
Properties | |
| NSString * | URI |
| Gets and sets the URI property for group grantees. | |
| NSString * | emailAddress |
| Gets and sets the emailAddress property for user grantees. |
Represents an Owner/User/Group that can be given permissions on a bucket or object.
Use Either ID and displayName (for CanonicalUsers), URI (for Groups), or emailAddress (for Amazon customer email addresses).
| + (id S3Grantee.)granteeWithEmailAddress: | (NSString *) | theEmailAddress |
| + (id S3Grantee.)granteeWithID: | (NSString *) | theID | ||
| withDisplayName: | (NSString *) | theDisplayName | ||


{% extends "layout.html" %} {% block content %}
Apollo is a service meant for tabletop gamers. A story lends itself to music, and it shouldn't be a difficult process. With Apollo, you can host rooms joinable by anyone with the invite link. The room owner can select tracks to play for everyone based on their weight and intensity.
Tracks are also separated into 'loops', a smaller segment of the track that loops nicely. The owner can queue loops together to form a cohesive experience for everyone listening in. Create a room for your friends that keeps track of synchronization for you. Select tracks with a simple UI based on their weight and momentum. Loop entire tracks indefinitely. Loop track segments indefinitely. Queue up additional loops.Apollo
A synchronized music player.
Listen to hand-selected tracks at the same time as others, or try your hand at the selecting.
Find Out More
Purpose
Features
Track-synchronized rooms
Intuitive track selection
Track manipulation


According to the early vote count from the SF Chronicle and others, San Francisco voters have overwhelmingly defeated Proposition C in Tuesday's election. This means a citywide ban on the sale of electronic cigarette products will go into effect next year, if the numerous legal challenges don't get in the way.
Juul is reported to have spent close to $19 million dollars to pass Proposition C, which would have killed the plan to ban e-cig sales in San Francisco.
Juul lost big last night, along with Prop C.
BUT: Tobacco cigarettes, which are proven to cause cancer, are still available for sale.
[PHOTO: Wikimedia Commons, CC-BY-SA-4.0]


Thoughts, news and interesting stuff from the betterplace development team.
© 2016. All rights reserved.
Hey there! You can find a list of our open source projects here. We haven't written a blog post about each of them, but if there is one, it's linked as well.


This inspection reports method parameters declared final unnecessarily.
Some coding standards frown on such parameters, so as to have shorter and more
understandable parameter lists.
Use the checkbox below to only warn on final parameters of abstract or interface
methods, which may be considered extra unnecessary, as such markings have no
effect on the implementation of these methods.


#include <BL3_GbxGameSystemCore_structs.hpp>
◆ AreaFeedback
◆ bAttachParticleToHitActor
| unsigned char bAttachParticleToHitActor |
◆ bAttachParticleToHitBone
| unsigned char bAttachParticleToHitBone |
◆ bCensorThisEffect
◆ bDecalRandomRotation
| bool bDecalRandomRotation |
◆ bHideEffectFromHitActor
| unsigned char bHideEffectFromHitActor |
◆ bHighPriority
◆ bNoOverlapDecal
| unsigned char bNoOverlapDecal |
◆ bOverrideImpactWwiseEvent
| bool bOverrideImpactWwiseEvent |
◆ bPlayFeedbackOnHitActor
| bool bPlayFeedbackOnHitActor |
◆ CensoredEffectAlternative
◆ DecalFadeDuration
◆ DecalHeight
◆ DecalLifetime
◆ DecalMaterials
◆ DecalMaxScale
◆ DecalMinScale
◆ DecalRandomRotationLimit
| float DecalRandomRotationLimit |
◆ DecalThickness
◆ DecalWidth
◆ EffectParameters
◆ HitFeedback
◆ ImpactWwiseEvent
◆ NoOverlapDecalGroupName
| struct FName NoOverlapDecalGroupName |
◆ ParticleTemplate
◆ SignificanceEvent
◆ UnknownData00
| unsigned char UnknownData00[0x6] |
◆ UnknownData01
| unsigned char UnknownData01[0x7] |
◆ UnknownData02
| unsigned char UnknownData02[0x7] |
◆ UnknownData03
| unsigned char UnknownData03[0x3] |
◆ UnknownData04
| unsigned char UnknownData04[0x4] |
◆ UnknownData05
| unsigned char UnknownData05[0x7] |


{% extends "base.html" %} {% block title %}Database update failed{% endblock %} {% block page_content %}
Please tell Brian there was a problem.
Phone<PHONE_NUMBER>
Use the "Home" button to try again.
Error message: {{ error }}
{% endblock %}


We examine infrastructure!
- whiteboard open-source e-commerce
- incentivize integrated e-commerce
- scale extensible models
- morph integrated content
- e-enable leading-edge users
- integrate compelling e-services
- architect real-time infrastructures
- enable efficient deliverables
- implement mission-critical metrics
- productize ubiquitous functionalities
- enhance distributed synergies
- implement turn-key supply-chains


LATIFA GHASSAN
Here's some of what I did recently :
My First Project :
SEE MORE
BUS MALL :
SEE MORE
SALMOON COOKIE :
SEE MORE


With the growing esports presence in America many new players are being drafted from as young as 15 to play in leagues such as Overwatch contenders, halo world championships, or even online ESL tournaments. With the development of nation wide and international leagues, the volume of players vying for the ability to compete has skyrocketed, and so have medical concerns for player burnout.
Recently in the overwatch league one of the candidates for league mvp has publicized that he’s taking time off and traveling back to his country of south korea as a result of practicing so diligently and being played every game. We’ve seen several other players do the same, snillo, pine, gamsu, and more. While most of the players listed are foreigners(not from america) but it also has to do with the immense dedication they have to give to their sport. Dallas fuel player AKM stated in an interview, “ it usually takes me 100 to 120 akm dragon blades to get good at any hero.” For those not used to overwatchleague slang it too akm 3 minutes and 44 seconds to to charge a dragon blade despite it’s passive time of 4 minutes, so it takes him 4 hours and 35 minutes just to get decent at any given hero, not to mention additional practice of playing into a hero that counters hi, or adjusting to a different playstyle/ meta.
Such intense practice for performances can take up to 6 hours per day leaving players who are new to this training regimine severely tired out. The general opinion of esports by the american public is typically that it doesn’t count as a sport, but the immense commitment it takes from players at the highest of levels can be easily compared to others, especially when it has more severe and long lasting conditions.


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Figure 1
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(a) Crystal structure diagram of Ba 13.35Al 30.7Si 5.3O 70. ... |
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Figure 2
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(a) PL and PLE spectra of BASO:0.3Eu 2+. (b) Emission spectr ... |
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Figure 3
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(a) PL and PLE spectra of BASO:0.3Eu 2+,0.1Tm 3+. (b) Persis ... |
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Figure 4
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(a) Three-dimensional thermoluminescence spectra of BASO:0.3 ... |
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Figure 5
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(a) Two-dimensional thermoluminescence curves of BASO:0.3Eu ... |
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Figure 6
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Schematic graph of persistent luminescence mechanism for BAS ... |


Jeremiah 51:7
Babylon hath been a golden cup in the LORD's hand, that made all the earth drunken: the nations have drunken of her wine; therefore the nations are mad.


publications
For a complete list of publications, please visit my profile on Google Scholar
Selected Peer Reviewed Articles
- O. M. Kandelusy and N. J. Kirsch, “Buffer-Aided Relaying With Direct Link Transmission and Spectrum Sharing,” in IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 2, pp. 631-644, June 2020, doi: 10.1109/TCCN.2019.2956140.
- J. L. Kubwimana, N. J. Kirsch, C. Ziegler, G. Kontopidis and B. Tuner, “Dual-Polarized 5.75 GHz Optically Transparent Antenna Arrays,” in IEEE Antennas and Wireless Propagation Letters, vol. 18, no. 7, pp. 1512-1516, July 2019, doi: 10.1109/LAWP.2019.2921196.
- K. D. Seger, M. H. Al-Badrawi, J. L. Miksis-Olds, N. J. Kirsch, and A. P. Lyons, “An Empirical Mode Decomposition (EMD)-based detection and classification approach for marine mammal vocal signals,” in Journal of the Acoustical Society of America, vol. 144, no. 6, pp. 3181-3190, December 2018, doi: 10.1121/1.5067389.
- M. H. Al-Badrawi, N. J. Kirsch and B. Z. Al-Jewad, “Intrinsic Mode Function Based Noise Power Estimation With Applications to Semiblind Spectrum Sensing Methods,” in IEEE Signal Processing Letters, vol. 24, no. 7, pp. 1088-1092, July 2017, doi: 10.1109/LSP.2017.2710883.
- M. H. Al-Badrawi, B. Z. Al-Jewad, W. J. Smith and N. J. Kirsch, “A De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions,” in IEEE Signal Processing Letters, vol. 23, no. 7, pp. 924-928, July 2016, doi: 10.1109/LSP.2016.2569494.


--- layout: post title: no title date: '2015-11-29T18:30:51+01:00' categories: - Sketchbooks - Storyboards - Horses picture_url: https://film-Storyboards.tumblr.com/post/134231542728 --- Reno


The transfer bargains Derby County could look at in January
Latest Derby County transfer news | Would any of these players be of interest to Derby County as they look to plot a course to the Premier League?
by Josh Challies, Steve Wollaston, Mark WakefieldThe 2020 January transfer window opens in less than two months, and clubs across Europe will be looking at what business they can go.
Derby County are fighting to secure a good finish in the Sky Bet Championship, with a place in the play-offs still very much a possibility should the Rams have a good run of results.
After narrowly missing out on promotion to the Premier League last season, Phillip Cocu and his players will be hoping that this season can provide the club with success.
The growing prices in the transfer market are a cause for concern for Championship clubs, particularly with the financial fair play restrictions, but fortunately there are a number of bargains to be had.
Next summer, a wealth of Championship players see their contracts at their current clubs come to a close - and they may, therefore, be available for a cut-price fee when the window opens in a few months time.
Here, you can find every player in the Championship who sees their deal expire in 2020, according to TransferMarkt.
Would any of these players be of interest to the manager?
We will let you decide!
Derby County latest
This is your round up of all things Derby; the one-stop shop that will keep you updated on the latest goings on at Pride Park and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Rams throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- The reason Lawrence is out of Wales squad
- Phillip Cocu's January priorities
- The area Derby County must improve to turn their season around
- 'Punished' - Derby County fans must look at bigger picture when it comes to Jayden Bogle after mistake
- 'I was surprised' - Leeds United star makes this Derby County admission
- Who is Luciano Acosta? Profile on D.C. United star invited to Derby County by Wayne Rooney
For all your latest Rams news, opinion, analysis and transfer gossip, click here
You can follow our Rams reporter Steve Nicholson on Twitter, and his email address is<EMAIL_ADDRESS>Goalkeeper
Will Huffer (20) - Leeds United
Will Mannion (21) - Hull City
Aynsley Pears (21) - Middlesbrough
Mathew Hudson (21) - Preston
Magnus Norman (22) - Fulham
Daniel Gyollai (22) - Wigan Athletic
Harry Isted (22) - Luton Town
Jake Weaver (22) - Birmingham City
Joel Coleman (24) - Huddersfield Town
Cameron Dawson (24) - Sheffield Wednesday
Jordan Smith (24) - Nottingham Forest
Samuel Sahin-Raqdlinger (26) - Barnsley
Jonathan Bond (26) - West Brom
Declan Rudd (28) - Preston
James Shea (28) - Luton Town
Ben Amos (29) - Charlton Athletic
Marek Stech (29) - Luton Town
Erwin Mulder (30) - Swansea City
Kristoffer Nordfeldt (30) - Swansea City
Jayson Leutwiler (30) - Blackburn Rovers
Luke Daniels (31) - Brentford
Bartosz Białkowski (32) - Millwall
Lee Camp (34) - Birmingham City
Adam Federici (34) - Stoke City
David Stockdale (34) - Birmingham City
Niki Maenpaa (34) - Bristol City
Ali Al-Habsi (37) - West Brom
Defender
Jack Armer (18) - Preston
Dara O’Shea (20) - West Brom
Ben Williams (20) - Barnsley
Luka Racic (20) - Brentford
Frankie Musonda (21) - Luton Town
Steve Seddon (21) - Birmingham City
Robbie McKenzie (21) - Hull City
Hayden Coulsen (21) - Middlesbrough
James Brown (21) - Millwall
Luca de la Torre (21) - Fulham
Jack Fitzwater (21) - West Brom
Tom Field (22) - Brentford
Ash Baker (22) - Sheffield Wednesday
Wes Harding (22) - Birmingham City
Sam Hart (23) - Blackburn Rovers
Cheick Keita (23) - Birmingham City
Jake Cooper (24) - Millwall
Kevin O’Connor (24) - Preston
Lloyd Jones (24) - Luton Town
Dimitri Kevin Cavare (24) - Barnsley
Josh Clarke (25) - Brentford
Stephen Kingsley (25) - Hull City
Lewis MacLead (25) - Wigan Athletic
Jed Wallace (25) - Millwall
Tyler Blackett (25) - Reading
Jordan Obita (25) - Reading
Amari'i Bell (25) - Blackburn Rovers
Naby Sarr (26) - Charlton Athletic
Dani Pinillos (26) - Barnsley
Jack Robinson (26) - Nottingham Forest
Morgan Fox (26) - Sheffield Wednesday
Mike van der Hoorn (26) - Swansea City
Adam Matthews (27) - Charlton Athletic
Alexander Milosevic (27) - Nottingham Forest
Chey Dunkley (27) - Wigan Athletic
Bailey Wright (27) - Bristol City
Grant Hall (27) - QPR
Jazz Richards (28) - Cardiff City
Sean Hutchinson (28) - Millwall
Daniel Ayala (28) - Middlesbrough
Chris Solly (28) - Charlton Athletic
Kyle Naughton (30) - Swansea City
Henrik Dalsgaard (30) - Brentford
Chris Gunter (30) - Reading
Eric Lichaj (30) - Hull City
Alex Pearce (30) - Millwall
Tom Clarke (31) - Preston
Derby County's television games
Derby County v Sheffield Wednesday (Sky Sports) - Wednesday, 11th December (7.45pm)
Derby County v Charlton Athletic (Sky Sports) - Monday, 30th December (7.45pm)
Derby County v Barnsley (Sky Sports) - Thursday, 2nd January (7.45pm)
2019 mid-week red button games (Sky Sports)
Fulham v Derby County - Tuesday, 26th November (7.45pm)
Jacques Maghoma (31) - Birmingham City
Ryan Shotton (31) - Middlesbrough
Denis Odoi (31) - Fulham
George Friend (31) - Middlesbrough
Gaetano Berardi (31) - Leeds United
Jonathan Grounds (31) - Birmingham City
Danny Simpson (32) - Huddersfield Town
Matthew Connolly (32) - Cardiff City
Lee Peltier (32) - Cardiff City
Alan Sheehan (33) - Luton Town
Stephen Ward (34) - Stoke City
Sol Bamba (34) - Cardiff City
Ashley Williams (35) - Bristol City
Michael Dawson (35) - Nottingham Forest
Angel Rangel (36) - QPR
Midfielder
Odin Bailey (19) - Birmingham City
Aaron Bolger (19) - Cardiff City
Jordan Stevens (19) - Leeds United
Yan Dhanda (20) - Swansea City
Matt O’Riley (18) - Fulham
Marcus Browne (21) - Middlesbrough
Tayo Edun (21) - Fulham
Daniel Batty (21) - Hull City
Charlie Owens (21) - QPR
Ryan East (21) - Reading
Dylan Mottley-Henry (22) Barnsley
Jared Bird (22) - Barnsley
Callum O’Dowda (23) - Bristol City
Ryan Manning (23) - QPR
Jon Toral (24) - Hull City
Cameron McGeehan (24) - Barnsley
Pelly-Ruddock Mpanzu (25) - Luton Town
Glen Rea (25) - Luton Town
Ibrahima Cisse (25) - Fulham
Dominic Samuel (25) - Blackburn Rovers
Jake Forster-Caskey (25) - Charlton Athletic
Luke Berry (27) - Luton Town
Markus Henriksen (27) - Hull City
Kevin Stewart (26) - Hull City
Jackson Irvine (26) - Hull City
Joey Pelupessy (26) - Sheffield Wednesday
Angus MacDonald (26) - Hull City
Derby County latest
This is your round up of all things Derby; the one-stop shop that will keep you updated on the latest goings on at Pride Park and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Rams throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- The reason Lawrence is out of Wales squad
- Phillip Cocu's January priorities
- The area Derby County must improve to turn their season around
- 'Punished' - Derby County fans must look at bigger picture when it comes to Jayden Bogle after mistake
- 'I was surprised' - Leeds United star makes this Derby County admission
- Who is Luciano Acosta? Profile on D.C. United star invited to Derby County by Wayne Rooney
For all your latest Rams news, opinion, analysis and transfer gossip, click here
You can follow our Rams reporter Steve Nicholson on Twitter, and his email address is<EMAIL_ADDRESS>Josh Scowen (26) - QPR
Jonathan Williams (26) - Charlton Athletic
Kenny Dougall (26) - Barnsley
Murray Wallace (26) - Millwall
Tom Carroll (27) - Swansea City
Neeskens Kebano (27) - Fulham
Michael Jacobs (27) - Wigan Athletic
Ryan Leonard (27) - Millwall
Kamohelo Mokotjo (28) - Brentford
Tom Elliott (28) - Millwall
Mateusz Klich (29) - Leeds United
Maikel Kieftenbeld (29) - Birmingham City
Jonathon Hogg (30) - Huddersfield Town
Kevin McDonald (30) - Fulham
Samba Sow (30) - Nottingham Forest
Sam Hutchinson (30) - Sheffield Wednesday
Andrew Shinnie (30) - Luton Town
Elliott Bennett (30) - Blackburn Rovers
Jonny Howson (31) - Middlesbrough
Kieran Lee (31) - Sheffield Wednesday
Shaun Williams (32) - Millwall
Yohan Benalouane (32) - Nottingham Forest
Claudio Yacob (32) - Nottingham Forest
Craig Gardner (32) - Birmingham City
Charlie Adam (33) - Reading
Geoff Cameron (34) - QPR
Chris Brunt (34) - West Brom
Wayne Routledge (34) - Swansea City
Ben Watson (34) - Nottingham Forest
Paul Gallagher (35) - Preston
Forward
Tyrese Campbell (19) - Stoke City
Bright Osayi Samuel (21) - QPR
Jarrod Bowen (22) - Hull City
Olamide Shodipo (22) - QPR
Norbert Balogh (23) - Hull City
Elliot Lee (24) - Luton Town
Mamadou Thiam (24) - Barnsley
Alex Mowatt (24) - Barnsley
Kerim Mrabti (25) - Birmingham City
Omar Bogle (27) - Cardiff City
Elias Kachunga (27) - Huddersfield Town
Borja Baston (27) - Swansea City
Jon Dadi Bodvarsson (27) - Millwall
Billy Bodin (27) - Preston
Sammy Ameobi (27) - Nottingham Forest
Nikolaos Karelis (27) - Brentford
Kazenga LuaLua (27) - Luton Town
Marvin Johnson (27) - Middlesbrough
Jordan Rhodes (28) - Sheffield Wednesday
Richard Smallwood (28) - Blackburn Rovers
Sam Winnall (28) - Sheffield Wednesday
Colin Quaner (28) - Huddersfield Town
Lyle Taylor (29) - Charlton Athletic
Fernando Forestieri (29) - Sheffield Wednesday
Atdhe Nuhiu (30) - Sheffield Wednesday
Hal Robson-Kanu (30) - West Brom
Lee Tomlin (30) - Cardiff City
Danny Hylton (30) - Luton Town
Kamil Grosicki (31) - Hull City
Mame Diouf (31) - Stoke City
Joe Garner (31) - Wigan Athletic
Rudy Gestede (31) - Middlesbrough
Nathan Dyer (31) - Swansea City
Anthony Pilkington (31) - Wigan Athletic
Tomer Hemed (32) - Charlton Athletic
Steven Fletcher (32) - Sheffield Wednesday
Marc Pugh (32) - QPR
Garath McCleary (32) - Reading
Pablo Hernandez (34) - Leeds United
David Nugent (34) - Preston
Danny Graham (34) - Blackburn Rovers
Gary Roberts (35) - Wigan Athletic


Alex Neil reveals free-scoring Preston North End’s secret weapon
by Dave SeddonPreston’s impressive scoring record has fired them into contention at the top of the Championship and Alex Neil says that has been helped by a development in their play further back on the pitch.
The Lilywhites will resume action at Derby on Saturday as the division’s leading scorers with 31 goals from 16 games.
Twelve PNE players have scored in league action, with the goals very much spread around the squad.
Key to getting North End higher up the pitch has been the position of the full-backs, helped by taking better care of the ball in midfield says Neil.
Joe Rafferty and Darnell Fisher have, in the main, filled the full-back roles, Rafferty looking comfortable in the left-back berth despite being a right-back by trade.
North End manager Neil said: “We have looked to get the full-backs higher, made them more aggressive.
“The key to that then being effective is having good retention of the ball.

“Our retention of the ball in the middle of the pitch has improved significantly.
“That allows us to be more aggressive in that sense.
“It’s part of your game which you need to develop over time.
“I tried to do it at the start of last season and you saw how that went.
“We struggled for results so I had to rein them back in.
“So we had to build back into this season and we have done that.
“For us to develop as a team, we needed to be able to get to that next stage.
“Thankfully we have been able to do that and it is another string to our bow.”
Saturday’s visit to Derby, which will see Preston backed by their biggest away following of the season to date, is the first of 10 games to be played in little more than a month.
Neil is hoping to have the majority of his squad available for the busy schedule.
He definitely gets Ben Pearson back for the trip to Pride Park, the midfielder having missed the 3-1 win over Huddersfield Town due to suspension.
Daniel Johnson missed that game with a foot injury, with Andrew Hughes also absent.
Josh Harrop and Tom Clarke have been out longer, Harrop for more than a month with a hamstring issue and Clarke since August because of a knee ligament injury.
Said Neil: “We should have a few back for the next batch of games.
“When you look back at the Huddersfield game, we had quite a few missing.
“If we can keep as many of the lads fit, there is no reason why we can’t keep on doing what we have been doing.”


{% extends "base.html" %} {% load static %} {% block inner_content %}
The Smart Cambridge team is working together with a wide range of technology businesses to provide a 'digital' platform to support the transport infrastructure investments taking place in our region. This work is supported by Connecting Cambridgeshire and the Greater Cambridge Partnership, and this website is where the technology will emerge.
Visit Connecting Cambridgeshire website for more information chevron_right


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Deuersprech-Kompilierer
Der originale Deuersprech-Kompilierer
|
Öffentliche Methoden | |
| symbol_set () | |
| symbol_set (symbol_set other) throws internal_error | |
| Enumeration | all () |
| int | size () |
| boolean | contains (symbol sym) |
| boolean | is_subset_of (symbol_set other) throws internal_error |
| boolean | is_superset_of (symbol_set other) throws internal_error |
| boolean | add (symbol sym) throws internal_error |
| void | remove (symbol sym) throws internal_error |
| boolean | add (symbol_set other) throws internal_error |
| void | remove (symbol_set other) throws internal_error |
| boolean | equals (symbol_set other) |
| boolean | equals (Object other) |
| int | hashCode () |
| String | toString () |
Geschützte Methoden | |
| void | not_null (Object obj) throws internal_error |
Geschützte Attribute | |
| Hashtable | _all = new Hashtable(11) |
This class represents a set of symbols and provides a series of set operations to manipulate them.
|
inline |
Constructor for an empty set.
|
inline |
Constructor for cloning from another set.
| other | the set we are cloning from. |
|
inline |
Add a single symbol to the set.
| sym | the symbol we are adding. |
|
inline |
Add (union) in a complete set.
| other | the set we are adding in. |
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inline |
Access to all elements of the set.
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inline |
Determine if the set contains a particular symbol.
| sym | the symbol we are looking for. |
|
inline |
Generic equality comparison.
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inline |
Equality comparison.
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inline |
Compute a hash code.
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inline |
Determine if this set is an (improper) subset of another.
| other | the set we are testing against. |
|
inline |
Determine if this set is an (improper) superset of another.
| other | the set we are are testing against. |
|
inlineprotected |
Helper function to test for a null object and throw an exception if one is found.
| obj | the object we are testing. |
|
inline |
Remove a single symbol if it is in the set.
| sym | the symbol we are removing. |
|
inline |
Remove (set subtract) a complete set.
| other | the set we are removing. |
|
inline |
size of the set
|
inline |
Convert to a string.
|
protected |
A hash table to hold the set. Symbols are keyed using their name string.


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Sentinel-controlled repetition.
When loop control is based on the value of what we are processing, sentinel-controlled repetition is used. Sentinel-controlled repetition is also called indefinite repetition because it is not known in advance how many times the loop will be executed. It is a repetition procedure for solving a problem by using a sentinel value (also called a signal value, a dummy value or a flag value) to indicate "end of process". The sentinel value itself need not be a part of the processed data.
One common example of using sentinel-controlled repetition is when we are processing data from a file and we do not know in advance when we would reach the end of the file.
We can use both for
and while
loops, for Sentinel controlled repetition, but the while
loop is more common.
Structured WHILE
loop
The while
loop repeats a block of instructions inside the loop while a condition remainsvtrue.
First a generic syntax
while condition is true:
execute a
execute b
....
Notice our friends the colon :
and the indentation again.
Example while
loops
# sum numbers from 1 to n
howmany = int(input('Enter N'))
accumulator = 0.0
counter = 1
while counter <= howmany:
accumulator = accumulator + float(counter)
counter += 1
print( 'Sum from 1 to ',howmany, 'is %.3f' % accumulator )
Enter N 9
Sum from 1 to 9 is 45.000
# sum even numbers from 1 to n
howmany = int(input('Enter N'))
accumulator = 0.0
counter = 1
while counter <= howmany:
if counter%2 == 0:
accumulator = accumulator + float(counter)
counter += 1
print( 'Sum of Evens 1 to ',howmany, 'is %.3f' % accumulator )
Enter N 9
Sum of Evens 1 to 9 is 20.000
howmany = int(input('Enter N'))
linetoprint=''
counter = 1
while counter <= howmany:
linetoprint=linetoprint + '*'
counter += 1
print(linetoprint)
Enter N 9
*
**
***
****
*****
******
*******
********
*********
Nested Repetition
Nested repetition is when a control structure is placed inside of the body or main part of another control structure.
break
to exit out of a loop
Sometimes you may want to exit the loop when a certain condition different from the counting condition is met. Perhaps you are looping through a list and want to exit when you find the first element in the list that matches some criterion. The break keyword is useful for such an operation.
For example run the following program:
#
i = 0
j = 0
while i < 9:
j += 2
print ("i = ",i,"j = ",j)
if j == 6:
break
i = i + 1
i = 0 j = 2
i = 1 j = 4
i = 2 j = 6
i = 0
j = 0
while i <5 :
j += 2
print( "i = ",i,"j = ",j)
if j == 7:
break
i = i + 1
i = 0 j = 2
i = 1 j = 4
i = 2 j = 6
i = 3 j = 8
i = 4 j = 10
In the first case, the while
loop only executes 3 times before the condition j == 6 is TRUE and the loop is exited.
In the second case, j == 7 never happens so the loop completes all its anticipated traverses.
In both cases an if
statement was used within a for loop. Such "mixed" control structures
are quite common (and pretty necessary).
A while
loop contained within a for
loop, with several if
statements would be very common and such a structure is called nested control.
There is typically an upper limit to nesting but the limit is pretty large - easily in the
hundreds. It depends on the language and the system architecture ; suffice to say it is not
a practical limit except possibly for general-domain AI applications.
We can also do mundane activities and leverage loops, arithmetic, and format codes to make useful tables like
import math # package that contains cosine
print(" Cosines ")
print(" x ","|"," cos(x) ")
print("--------|--------")
i = 0
while i < 157:
x = float(i)*0.1
print("%.3f" % x, " |", " %.4f " % math.cos(x)) # note the format code and the placeholder % and syntax
i = i + 1
Cosines
x | cos(x)
--------|--------
0.000 | 1.0000
0.100 | 0.9950
0.200 | 0.9801
0.300 | 0.9553
0.400 | 0.9211
0.500 | 0.8776
0.600 | 0.8253
0.700 | 0.7648
0.800 | 0.6967
0.900 | 0.6216
1.000 | 0.5403
1.100 | 0.4536
1.200 | 0.3624
1.300 | 0.2675
1.400 | 0.1700
1.500 | 0.0707
1.600 | -0.0292
1.700 | -0.1288
1.800 | -0.2272
1.900 | -0.3233
2.000 | -0.4161
2.100 | -0.5048
2.200 | -0.5885
2.300 | -0.6663
2.400 | -0.7374
2.500 | -0.8011
2.600 | -0.8569
2.700 | -0.9041
2.800 | -0.9422
2.900 | -0.9710
3.000 | -0.9900
3.100 | -0.9991
3.200 | -0.9983
3.300 | -0.9875
3.400 | -0.9668
3.500 | -0.9365
3.600 | -0.8968
3.700 | -0.8481
3.800 | -0.7910
3.900 | -0.7259
4.000 | -0.6536
4.100 | -0.5748
4.200 | -0.4903
4.300 | -0.4008
4.400 | -0.3073
4.500 | -0.2108
4.600 | -0.1122
4.700 | -0.0124
4.800 | 0.0875
4.900 | 0.1865
5.000 | 0.2837
5.100 | 0.3780
5.200 | 0.4685
5.300 | 0.5544
5.400 | 0.6347
5.500 | 0.7087
5.600 | 0.7756
5.700 | 0.8347
5.800 | 0.8855
5.900 | 0.9275
6.000 | 0.9602
6.100 | 0.9833
6.200 | 0.9965
6.300 | 0.9999
6.400 | 0.9932
6.500 | 0.9766
6.600 | 0.9502
6.700 | 0.9144
6.800 | 0.8694
6.900 | 0.8157
7.000 | 0.7539
7.100 | 0.6845
7.200 | 0.6084
7.300 | 0.5261
7.400 | 0.4385
7.500 | 0.3466
7.600 | 0.2513
7.700 | 0.1534
7.800 | 0.0540
7.900 | -0.0460
8.000 | -0.1455
8.100 | -0.2435
8.200 | -0.3392
8.300 | -0.4314
8.400 | -0.5193
8.500 | -0.6020
8.600 | -0.6787
8.700 | -0.7486
8.800 | -0.8111
8.900 | -0.8654
9.000 | -0.9111
9.100 | -0.9477
9.200 | -0.9748
9.300 | -0.9922
9.400 | -0.9997
9.500 | -0.9972
9.600 | -0.9847
9.700 | -0.9624
9.800 | -0.9304
9.900 | -0.8892
10.000 | -0.8391
10.100 | -0.7806
10.200 | -0.7143
10.300 | -0.6408
10.400 | -0.5610
10.500 | -0.4755
10.600 | -0.3853
10.700 | -0.2913
10.800 | -0.1943
10.900 | -0.0954
11.000 | 0.0044
11.100 | 0.1042
11.200 | 0.2030
11.300 | 0.2997
11.400 | 0.3935
11.500 | 0.4833
11.600 | 0.5683
11.700 | 0.6476
11.800 | 0.7204
11.900 | 0.7861
12.000 | 0.8439
12.100 | 0.8932
12.200 | 0.9336
12.300 | 0.9647
12.400 | 0.9862
12.500 | 0.9978
12.600 | 0.9994
12.700 | 0.9911
12.800 | 0.9728
12.900 | 0.9449
13.000 | 0.9074
13.100 | 0.8610
13.200 | 0.8059
13.300 | 0.7427
13.400 | 0.6722
13.500 | 0.5949
13.600 | 0.5117
13.700 | 0.4234
13.800 | 0.3308
13.900 | 0.2349
14.000 | 0.1367
14.100 | 0.0372
14.200 | -0.0628
14.300 | -0.1621
14.400 | -0.2598
14.500 | -0.3549
14.600 | -0.4465
14.700 | -0.5336
14.800 | -0.6154
14.900 | -0.6910
15.000 | -0.7597
15.100 | -0.8208
15.200 | -0.8737
15.300 | -0.9179
15.400 | -0.9530
15.500 | -0.9785
15.600 | -0.9942
The continue
statement
The continue instruction skips the block of code after it is executed for that iteration. It is best illustrated by an example.
i = 0
j = 0
while i < 5:
j += 2
print ("\n i = ", i , ", j = ", j) #here the \n is a newline command
if j == 6:
continue
print(" this message will be skipped over if j = 6 ") # still within the loop, so the skip is implemented
i = i + 1
i = 0 , j = 2
this message will be skipped over if j = 6
i = 1 , j = 4
this message will be skipped over if j = 6
i = 2 , j = 6
i = 2 , j = 8
this message will be skipped over if j = 6
i = 3 , j = 10
this message will be skipped over if j = 6
i = 4 , j = 12
this message will be skipped over if j = 6
The try
, except
structure
An important control structure (and a pretty cool one for error trapping) is the try
, except
statement.
The statement controls how the program proceeds when an error occurs in an instruction. The structure is really useful to trap likely errors (divide by zero, wrong kind of input) yet let the program keep running or at least issue a meaningful message to the user.
The syntax is:
try:
do something
except:
do something else if ``do something'' returns an error
Here is a really simple, but hugely important example:
#MyErrorTrap.py
x = 12.
y = 12.
while y >= -12.: # sentinel controlled repetition
try:
print ("x = ", x, "y = ", y, "x/y = ", x/y)
except:
print ("error divide by zero")
y -= 1
x = 12.0 y = 12.0 x/y = 1.0
x = 12.0 y = 11.0 x/y = 1.0909090909090908
x = 12.0 y = 10.0 x/y = 1.2
x = 12.0 y = 9.0 x/y = 1.3333333333333333
x = 12.0 y = 8.0 x/y = 1.5
x = 12.0 y = 7.0 x/y = 1.7142857142857142
x = 12.0 y = 6.0 x/y = 2.0
x = 12.0 y = 5.0 x/y = 2.4
x = 12.0 y = 4.0 x/y = 3.0
x = 12.0 y = 3.0 x/y = 4.0
x = 12.0 y = 2.0 x/y = 6.0
x = 12.0 y = 1.0 x/y = 12.0
error divide by zero
x = 12.0 y = -1.0 x/y = -12.0
x = 12.0 y = -2.0 x/y = -6.0
x = 12.0 y = -3.0 x/y = -4.0
x = 12.0 y = -4.0 x/y = -3.0
x = 12.0 y = -5.0 x/y = -2.4
x = 12.0 y = -6.0 x/y = -2.0
x = 12.0 y = -7.0 x/y = -1.7142857142857142
x = 12.0 y = -8.0 x/y = -1.5
x = 12.0 y = -9.0 x/y = -1.3333333333333333
x = 12.0 y = -10.0 x/y = -1.2
x = 12.0 y = -11.0 x/y = -1.0909090909090908
x = 12.0 y = -12.0 x/y = -1.0
So this silly code starts with x fixed at a value of 12, and y starting at 12 and decreasing by 1 until y equals -1. The code returns the ratio of x to y and at one point y is equal to zero and the division would be undefined. By trapping the error the code can issue us a measure and keep running.
Modify the script as shown below,Run, and see what happens
#NoErrorTrap.py
x = 12.
y = 12.
while y >= -12.: # sentinel controlled repetition
print ("x = ", x, "y = ", y, "x/y = ", x/y)
y -= 1
x = 12.0 y = 12.0 x/y = 1.0
x = 12.0 y = 11.0 x/y = 1.0909090909090908
x = 12.0 y = 10.0 x/y = 1.2
x = 12.0 y = 9.0 x/y = 1.3333333333333333
x = 12.0 y = 8.0 x/y = 1.5
x = 12.0 y = 7.0 x/y = 1.7142857142857142
x = 12.0 y = 6.0 x/y = 2.0
x = 12.0 y = 5.0 x/y = 2.4
x = 12.0 y = 4.0 x/y = 3.0
x = 12.0 y = 3.0 x/y = 4.0
x = 12.0 y = 2.0 x/y = 6.0
x = 12.0 y = 1.0 x/y = 12.0
---------------------------------------------------------------------------
ZeroDivisionError Traceback (most recent call last)
<ipython-input-5-82eeaceb9a12> in <module>
3 y = 12.
4 while y >= -12.: # sentinel controlled repetition
----> 5 print ("x = ", x, "y = ", y, "x/y = ", x/y)
6 y -= 1
ZeroDivisionError: float division by zero
Readings
-
Learn Python in One Day and Learn It Well. Python for Beginners with Hands-on Project. (Learn Coding Fast with Hands-On Project Book -- Kindle Edition by LCF Publishing (Author), Jamie Chan https://www.amazon.com/Python-2nd-Beginners-Hands-Project-ebook/dp/B071Z2Q6TQ/ref=sr_1_3?dchild=1&keywords=learn+python+in+a+day&qid=1611108340&sr=8-3
-
Learn Python the Hard Way (Online Book) (https://learnpythonthehardway.org/book/) Recommended for beginners who want a complete course in programming with Python.
-
How to Learn Python for Data Science, The Self-Starter Way (https://elitedatascience.com/learn-python-for-data-science)
-
Flowcharts (QA/QC Perspective) https://asq.org/quality-resources/flowchart
-
Flowcharts - Wikipedia https://en.wikipedia.org/wiki/Flowchart
-
Psuedocode - Wikipedia https://en.wikipedia.org/wiki/Pseudocode


Account security tips
To help keep your account secure, we recommend the following best practices:
- Use a strong password that you don’t reuse on other websites.
- Use login verification.
- Be cautious of suspicious links and always make sure you’re on aaho.in before you enter your login information.
- Never give your username and password out to third parties, especially those promising to get you followers, make you money, or verify you.
- Make sure your computer software, including your browser, is up-to-date with the most recent upgrades and anti-virus software.
- If you think your account has been compromised, drop a mail at<EMAIL_ADDRESS>Password strength
Create a strong and unique password for your Aaho account. You should also create an equally strong and unique password for the email address associated with your Aaho account.
Do’s:
- Do create a password at least 10 characters long. Longer is better.
- Do use use a mix of uppercase, lowercase, numbers, and symbols.
- Do use a different password for each website you visit.
- Do keep your password in a safe place. Consider using password management software to store all of your login information securely.
Don’ts:
- Do not use personal information in your password such as phone numbers, birthdays, etc.
- Do not use common dictionary words such as “password”, “iloveyou”, etc.
- Do not use sequences such as ”abcd1234”, or keyboard sequences like “qwerty”.
- Do not reuse passwords across websites. Your Aaho account password should be unique to Aaho.


select_selected_none
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select_selected_one
ten
twenty
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select_multiple_selected_one
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select_multiple_selected_multiple
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select_multiple_selected_none
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radio_checked
i_am_not_checked
i_am_checked
radio_non_checked
not_checked_one
not_checked_two
checkbox_checked
checkbox_multiple_checked
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This document describes how to deploy services on YARN using the YARN Service framework.
Below is a simple service definition that launches sleep containers on YARN by writing a simple spec file and without writing any code.
{ "name": "sleeper-service", "components" : [ { "name": "sleeper", "number_of_containers": 1, "launch_command": "sleep 900000", "resource": { "cpus": 1, "memory": "256" } } ] }
User can simply run a pre-built example service on YARN using below command:
yarn app -launch <service-name> <example-name>
e.g. Below command launches a sleeper service named as my-sleeper on YARN.
yarn app -launch my-sleeper sleeper
For launching docker based services using YARN Service framework, please refer to API doc.
Below steps walk you through deploying a services on YARN using CLI. Refer to Yarn Commands for the full list of commands and options.
yarn app -launch ${SERVICE_NAME} ${PATH_TO_SERVICE_DEF_FILE}
Params: - SERVICE_NAME: The name of the service. Note that this needs to be unique across running services for the current user. - PATH_TO_SERVICE_DEF: The path to the service definition file in JSON format.
For example:
yarn app -launch sleeper-service /path/to/local/sleeper.json
Increase or decrease the number of containers for a component.
yarn app -flex ${SERVICE_NAME} -component ${COMPONENT_NAME} ${NUMBER_OF_CONTAINERS}
For example, for a service named sleeper-service:
Set the sleeper component to 2 containers (absolute number).
yarn app -flex sleeper-service -component sleeper 2
Relative changes are also supported for the ${NUMBER_OF_CONTAINERS} in the flex command, such as +2 or -2.
Stopping a service will stop all containers of the service and the ApplicationMaster, but does not delete the state of a service, such as the service root folder on hdfs.
yarn app -stop ${SERVICE_NAME}
YARN API Server REST API can be activated as part of the ResourceManager.
For running inside ResourceManager, add this property to yarn-site.xml and restart ResourceManager.
<property> <description> Enable services rest api on ResourceManager. </description> <name>yarn.webapp.api-service.enable</name> <value>true</value> </property>
Services can be deployed on YARN through the ResourceManager web endpoint.
Refer to API doc for the detailed API specificatiosn.
POST the aforementioned example service definition to the ResourceManager api-server endpoint:
POST http://localhost:8088/app/v1/services
PUT http://localhost:8088/app/v1/services/${SERVICE_NAME}/components/${COMPONENT_NAME}
PUT Request body:
{ "name": "${COMPONENT_NAME}", "number_of_containers": ${COUNT} }
For example:
{ "name": "sleeper", "number_of_containers": 2 }
Stopping a service will stop all containers of the service and the ApplicationMaster, but does not delete the state of a service, such as the service root folder on hdfs.
PUT http://localhost:8088/app/v1/services/${SERVICE_NAME}
PUT Request body:
{ "name": "${SERVICE_NAME}", "state": "STOPPED" }
A new service tab is added in the YARN UI2 specially to show YARN Services in a first class manner. The services framework posts the data into TimelineService and the service UI reads data from TimelineService to render its content.
Please refer to TimeLineService v2 doc for how to enable Timeline Service v2.
Set below config in yarn-site.xml and start ResourceManager. If you are building from source code, make sure you use -Pyarn-ui in the mvn command - this will generate the war file for the new YARN UI.
<property> <description>To enable RM web ui2 application.</description> <name>yarn.webapp.ui2.enable</name> <value>true</value> </property>
YARN service framework supports running in a secure(kerberized) environment. User needs to specify the kerberos principal name and keytab when they launch the service. E.g. A typical configuration looks like below:
{ "name": "sample-service", ... ... "kerberos_principal" : { "principal_name"<EMAIL_ADDRESS>"keytab" : "hdfs:///etc/security/keytabs/hdfs.headless.keytab" } }
The above example is only for a non-docker container based service. YARN Service Framework also provides first-class support for managing docker based services. Most of the steps for managing docker based services are the same except that in docker the Artifact type for a component is DOCKER and the Artifact id is the name of the docker image. For details in how to setup docker on YARN, please check Docker on YARN.
With docker support, it also opens up a set of new possibilities to implement features such as discovering service containers on YARN with DNS. Check ServiceDiscovery for more details.


---
layout: post
title: Object-Oriented Design
date: '2013-03-24T12:57:00.000-04:00'
author: ricleal
tags:
- Programming
- Clean Code
- SOLID
comments: true
---
Quoting Uncle Bob Martin's :
You know the software is rotting when it starts to exhibit any of the following odors:
Rigidity – The system is hard to change because every change forces many other changes to other parts of the
system.
Fragility – Changes cause the system to break in places that have no conceptual relationship to the part
that was changed.
Immobility – It is hard to disentangle the system into components that can be reused in the other
systems.
Viscosity – Doing things right is harder than doing things wrong. Needless Complexity – The design
contains infrastructure that adds no direct benefit.
Needless Repetition – The design contains repeating structures that could be unified under a single
abstraction.
Opacity – It is hard to read and understand. It does not express its intent well
Simple Design
Extreme Programming's principle of Simple Design, in order of importance:
- Runs all the tests
- Contains no duplication
- Expresses the intent of the programmer
- Minimizes the number of classes and methods
Truly agile teams don't allow the software to rot:
- Keeping the design clean and simple at all times is the only way to go fast. It makes the design
flexible and easy to change.
- Making a mess will always slow you down the next time that you need to read or change the same code.
Architecture
"Architecture is about the important stuff. Whatever that is."
"Architecture is the decisions that you wish you could get right early in a project."
Why do people feel the need to get some things right early in the project?
The answer, of course, is because they perceive those things as hard to change. So you might end up defining
architecture as “things that people perceive as hard to change”.
- Big Design Up Front (BDUF), i.e. spinning system designs based on untested hypotheses for many months,
is harmful.
- BDUF inhibits adapting to change.
- Little/Enough Design Up Front (LDUF/EDUF) is good.
- With a big project spending a week or even a month thinking about the important things is nothing
wrong.
- Agile was a response to BDUF, but not DUF.
- Far from “design nothing,” the XP strategy is “design always.”
- Whatever designs have been done up front, they should always be open for change.
- Let the tests drive the system architecture.
Principles of Modular Design
Cohesion – higher is better
- Cohesion is a measure of how strongly-related or focused the responsibilities of a single module are.
Coupling – lower is better
- Coupling or dependency is the degree to which each program module relies on each one of the other
modules.
SOLID Principles
- SRP: Single Responsibility Principle
- OCP: Open Closed Principle
- LSP: Liskov Substitution Principle
- ISP: Interface Segregation Principle
- DIP: Dependency Inversion Principle
(to be continued...)


19
1 When King Hezekiah heard what they reported, he tore his clothes and put on clothes made of rough cloth because he was very distressed. Then he went to the temple to ask God what to do.
2 Then he summoned Eliakim and Shebna and the older priests, who were also wearing clothes made of rough sackcloth, and told them to talk to Isaiah the prophet, son of Amoz.
3 He said to them to say these things to Isaiah: "King Hezekiah says that this is a day when we have great distress. Other nations are causing us to be insulted and disgraced like a woman who is about to give birth to a child, but she is not strong enough to do it.
4 Perhaps Yahweh our God has heard everything that the official from Assyria said. Perhaps he knows that his master, the king of Assyria, sent him to insult the all-powerful God and that Yahweh will punish him for what he said. And Hezekiah requests that you pray for the few of us who are still alive here in Jerusalem."
5 When the messengers from Hezekiah came to Isaiah, and
6 Isaiah instructed them to go back to their master and tell him what Yahweh says: "Those messengers from the king of Assyria have said evil things about me. But you should not be disturbed because of what they said.
7 Listen to this: I will cause Sennacherib to hear a rumor that will worry him, that other armies are about to attack his country. So he will return to his own country, and there I will cause him to be assassinated by some men."
8 The official from Assyria found out that the King of Assyria and his army had left the city of Lachish, and that they were attacking Libnah, which was a nearby city. So the official went there to report to him what had happened in Jerusalem.
9 Soon after that, King Sennacherib received a report that King Tirhakah of Ethiopia was leading his army to attack them. But before King Sennacherib left Libnah to fight against the army from Ethiopia, he sent other messengers to King Hezekiah with a letter.
10 In the letter he wrote this to Hezekiah: "Do not allow your god on whom you are relying to deceive you by promising that my army will never capture Jerusalem.
11 You have certainly heard what the armies of the kings of Assyria have done to all the other countries. Our armies have completely destroyed them. So do you think that you will escape?
12 Did the gods of the nations that were about to be destroyed by the armies of the previous kings of Assyria rescue them? Did those gods rescue the people in the region of Gozan or in the cities of Haran and Rezeph in northern Aram? Did they rescue the people of Eden who had been deported to the city of Tel Assar? None of the gods of those cities was able to rescue them.
13 What happened to the kings of the cities of Hamath, Arpad, Sepharvaim, and Ivvah? They are all dead."
14 Hezekiah received the letter that the messengers gave him, and he read it. Then he went up to the temple and spread out the letter in front of Yahweh.
15 Then Hezekiah prayed this: "Yahweh, the God to whom we Israelites belong, you are seated on your throne above the statues of creatures with wings, above the sacred chest. Only you are truly God. You rule all the kingdoms on this earth. You are the one who created everything on the earth and in the sky.
16 So, Yahweh, please listen to what I am saying, and look at what is happening. And listen to what King Sennacherib has said to insult you, the all-powerful God.
17 Yahweh, it is true that the armies of the kings of Assyria have completely destroyed many nations and ruined their lands.
18 And they have thrown the idols of those nations into fires and burned them. But that was not difficult to do, because they were not gods. They were only statues made of wood and stone, idols that were shaped by humans, and that is why they were destroyed easily.
19 So now, Yahweh our God, please rescue us from the power of the king of Assyria, in order that the people in all the kingdoms of the world may know that you, Yahweh, are the only one who is truly God."
20 Then Isaiah sent this message to Hezekiah to tell him what Yahweh, the God to whom the Israelites belonged, said in response: "I have heard what you prayed to me about Sennacherib, the king of Assyria.
21 This is what I say to that king:
The people of Jerusalem
despise you and make fun of you.
They wag their heads
to mock you.
22 Who do you think that you were despising and ridiculing?
Who do you think you were shouting at?
Who do you think you were looking at very proudly?
It was I, the holy God whom the Israelites worship.
23 The messengers whom you sent
made fun of me.
You said, 'With my many chariots
I have gone to the highest mountains,
to the highest mountains in Lebanon.
We have cut down its tallest cedar trees
and its best cedar trees.
We have been to the most distant peaks
and to its densest forests.
24 We have dug wells in other countries
and drunk water from them.
And by marching through the streams of Egypt,
we dried them all up!'
25 But I reply, 'Have you never heard that long ago
I planned that those things would happen?
I planned it long ago,
and now I have been causing it to occur.
I planned that your army
would have the power to capture many cities
that were surrounded by high walls,
and cause them to become piles of rubble.
26 The people who lived in those cities have no power,
and as a result they became dismayed and discouraged.
They are as frail as plants and grass in the fields,
as frail as grass that grows on the roofs of houses
and is scorched before it can grow tall.
27 But I know everything about you.

I will force you to return to your own country
on the same road on which you came here,
without conquering Jerusalem.'
29 Now I say this to Hezekiah:
'This is what will happen to prove that I am telling the truth:
This year and next year you and your people
will be able to harvest only wild grain.
But the following year, you Israelites will be able
to plant grain and harvest it,
and to plant vineyards and eat the grapes.
30 The people in Judah who remain alive will prosper
and have many children;
they will be like plants whose roots go deep down
into the ground and which produce much .
31 There will be many people in Jerusalem
who will remain alive,
because I, Yahweh, Commander of the armies,
have planned it to happen.
32 So this is what I, Yahweh, say
about the king of Assyria:
"His armies will not enter this city;
they will not even shoot any arrows into it.
His soldiers will not march outside the city gates carrying shields,
and they will not even build high mounds of earth
against the city walls
to enable them to attack the city.
33 Their king will return to his own country
on the same road on which he came here.
He will not enter this city.
That will happen because I, Yahweh, have said it!
34 I will defend this city and prevent it from being destroyed.
I will do this for the sake of my own reputation
and because of what I promised to King David,
who served me well.'"
35 That night, an angel from Yahweh went out to where the army of Assyria had put up their tents, and killed 185,000 of their soldiers. When the rest of the soldiers woke up the next morning, they saw that there were corpses everywhere.
36 Then King Sennacherib left and went home to Nineveh, the capital of Assyria.
37 One day, when he was worshiping in the temple of his god Nisroch, his two sons, Adrammelech and Sharezer, killed him with their swords. Then they escaped and went to the region of Ararat, northwest of Nineveh. And another of Sennacherib's sons, Esarhaddon, became the king of Assyria.


My First Heading
My Second Heading
My third heading
My 4th heading
My 5th heading
My 6th heading
My first paragraph.


|
Cane Toadsaka Bufo MarinusConsider the humble cane toad. One of nature's tiny, repugnant miracles.   As an evolutionary protective measure, cane toads secrete a variety of poisons, mainly through gigantic glands on either side of its head which can spew venom several feet. The toad's skin and body are also infused with toxins. This makes the toad poisonous to most of its predators, but it has the odd side effect of making the toad hallucinogenic for people who lick it, or very carefully smoke or eat specific parts. In addition to whatever social stigma you might incur, toad licking is a fairly dangerous activity -- the main point of poison is, after all, to kill those who ingest it.  Nevertheless, the toads have traditionally used for shamanic purposes by Native Americans, and more recently used for recreational purposes by modern Americans. The toad has more nefarious uses as well. Scientist Wade Davis, author of the voodoo classic The Serpent and the Rainbow, identified the cane toad as a primary ingredient in "zombie powder," a Haitian poison used to simulate death in its victims. The hallucinogenic toad poison helped create a sense of panic in the victim, allowing the poisoner to "raise" the victim from the "dead" subject to a form of mind control. (Other ingredients in the powder included puffer fish toxin and a variety of local plants.) But cane toads aren't all about fun and toxicity. There's a dark side to the cane toad as well. In 1935, the toads were introduced to Australian sugar cane farms on the theory that they would eat the greyback beetles wreaking havoc on Aussie sugar crops. The problem with this theory was simple: The beetles perch high on the sugar cane, but the toads can't jump very high. The frogs utterly failed to eat the beetles, but instead began eating everything else in sight, growing to uncomfortable sizes and breeding like there was no tomorrow. Cane toads produce tens of thousands of eggs each time they spawn, which makes for an awful lot of toads. Thanks to the aforementioned toxins, the cane toads were not susceptible to Australian predators. Instead, they became predators themselves. First, they starting consuming the food supply that had previously been the property of Australia's indigenous frogs. Then they started eating the frogs themselves -- and other creatures up to the size of mice. As they spread across the continent, the cane toads' toxins poisoned everything from fish and snakes to crocodiles and people. They cut a swath through Australia's diverse and unique wildlife, tacking many species to the endangered list in the process. Some enterprising Aussies have attempted to make the best of this, holding competitive toad races in bars, while others try to make a dime peddling cane toad leather products, as well as key chains and change purses made from whole toad carcasses, with a sales pitch based on twin appeals to patriotism and ecology. Failing to see the humor in the situation, the Australian government is simply spending millions per year on efforts to eradicate the cane toad infestation that has everyone stonkered in a wobbly with their widgeriedoos on the barbie. The latest bright idea is to introduce a genetically-modified disease that will kill the cane toads but leave everything else unharmed. Of course, this is the same sort of brilliant thinking that led to the cane toad epidemic in the first place. But then, you really aren't surprised that some people never learn, are you? |


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Arch & Eng Computation
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Lectures for Architecting & Engineering Software Systems. Requirements: Google Chrome; Laptop
Lecture 1 - Introduction
Class Information & Logistics
Syllabus
Schedule
Term Project
Piazza
Introduction
Overview
Introduction
Sample Projects 1.00
Sample Projects 1.125
Setting up our First Machine on AWS
Lecture 2 - Full Stack
Getting Started
Hello World!
Functions
Simple Function
Passing Functions as Parameters
Callbacks
Callback Functions
(
Exercise
)
forEach Callback Functions
(
Exercise
)
Filter Callback Functions
(
Exercise
)
Callbacks
Non-Blocking, Async Computation - NodeJS
Node App Plus Local Module
Node App Plus Npm Module
Non-Blocking, Async Computation - Mini Lecture
Node - Apps and Modules
Lecture 3 - Cloud Computing
First AWS Machine
Hello AWS!
AWS Web Server
Web Server
Zipfile to AWS
Loading Zip File to AWS
Code and Exercise
Exercise
Problem Set 2
PS2
PS2 code
Boston City Data
Loading Boston City Data
Lecture 4 - Representational State Transfer (REST)
Exercises at start of class
Exercise 00 - Picking up JSON Data
Exercise 00 - Sample JSON Data
Exercise 01 - HTTP Server Hello World!
Exercise 03 - Express and Request Together
Exercise 04 - HTTP GET
Exercise 05 - HTTP POST
Exercise 06 - HTTP POST Server
Exercise 06 - HTTP POST Client
All exercises in a zip file
Load JSON via Node
Use Require('xxx.json')
Load JSON via Local Http-Server
Load JSON File via Http-server
Load JSON from remote Web Server
Hit Remote Server
Zipfile to AWS
Loading Zip File to AWS
Provision AWS Web Server
Provision AWS Web Server with Node, Express and Http
Boston City AWS Web Server
Use Node/Express AWS server to hit Boston City Data
Lecture 4 - Asynchronous JavaScript And JSON (AJAX)
Superagent
GET/POST Sample
Lecture 5 - Microservices
Sending Data Across the Network
Data Exercise
Sending Code Across the Network
Code Exercise
Lecture 6 - Containers
Why do we care about containers?
Docker Fundamentals
Should everyone care about containers?
Fundamental Building Blocks of Modern Systems
Docker Commands
Useful docker commands
Docker on Local Machine
Loading Docker and Provisioning a Node/Express in a Docker Container
Code for Docker on Local Machine
Code Exercise
Docker on Remote Machine
Loading Docker on AWS Ubuntu
Docker on Remote Machine
Loading Docker on AWS 2
How To Install Docker on Ubuntu
Installation Instructions
Docker - NodeJS Hello World
More Docker Examples
Nginx
NodeJS
NodeJS + Mongo
Python + Mongo
Problem Set
Container/API Problem Set
Test your API
Lecture 7 - Containers
Push/Pull
Sample Code For Image
Publish Commands - Cheat Sheet
Create and Publish a Docker Image
Lecture 8 - Storage Services
Object Store
Firebase Chat App
Object Store
Firebase Authentication
chatApp
Firebase Authentication
Chat Exercise
Lecture 9 - The Front End
The Universal Client
Web Document Basics
Active Learning
Flick API
Search By Tag
Search By Latitude & Longitude
Lecture 10 - Data Stores
Docker Commands
Useful docker commands
Relational Database Management Systems & Object Data Stores
Relational & Documents
Database Active Learning
Little DB
(
solution
)
Little API
(
solution
)
MongoDB
(
solution
)
MySQL
(
solution
)
PostgreSQL
(
solution
)
Redis
(
solution
)
Bringing it all together
Docker-Mongo+Node/Express+Browser
Lecture 11 - Machine Learning Services
Active Learning
Vision
Natural Language
Sentiment Analysis
Recognition
Lecture 12 - Collaboration, Project Management, and Version Control
Git Setup
Github Setup Mac
Github Setup Windows
Lecture 13 - Software Registries
Package Management
Software Registry
Creating Packages
Lecture 14 - Sensemaking
Lecture
Slides
Active Learning
Course Catalog
Lecture 15 - Test Driven Development
Lecture
Slides


- The following aptitude test consists of 15 questions.
- You have to answer the questions present within the allotted time of 20 minutes.
- There is no negative marking for wrong answers.
- You can only appear once for this test.
- Any errors caused due to network failures are not the responsibility of EDC, TIET.
If there are any technical issues feel free to mail us at recruitments@edctiet.com


Welcome Guest!
1
Here comes the sun..
Vestibulum ante
2
Here comes the sun..
Nulla facilisi
3
Here comes the sun..
In faucibus orciluctus
4
Here comes the sun..
Aenean nec eros


The Interloop Color Scheme is simple but has enough breadth for a variety of product needs. If you need to deviate from these colors - do so for particular design reasons
The Primary Color palette consists of neutral colors that provide an easy to view backdrop for the application interface. These are based on dark blues, greys, and whites.
Sapphire
#161B2D
Topaz
#31A1FF
Diamond
#FFFFFF
Color states provide context for the user and should be consistently used throughout the application.
Info
#09BEF2
Success
#02B892
Warning
#FFD11A
Danger
#E02F2F
Calm
#7B27C9
Secondary colors are used to add life to the application and are great for elements like avatars, banners, and other items.
Clover
#02BB18
Lime
#82CD00
Seafoam
#08C9BE
Gemstone
#0785AA
Sky
#09BEF2
Royal
#3F73C7
Ocean
#214580
Sunlight
#FFD11A
Tangerine
#FF9600
Sunset
#E4450D
Lipstick
#C90861
Grape
#7B27C9
Neutral
#898898
Neutrals make up most of the application interface elemtns like borders, outlines, icons, etc.
Obsidian
#000000
Charcoal
#091E42
Slate
#172B4D
Granite
#5E6C84
Gravel
#DFE1E5
Limestone
#F4F5F7
Headings, body font, links & more
Seamonster
#091E42
Dragonstone
#000000
Topaz
#172B4D
Accent colors are using for highlighting various pices of news or new items within the application.
Bright Blue
#123456
Bright Green
#123456


{$header}
Here comes your ToS info...
1. Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
2. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
3. There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum, you need to be sure there isn't anything embarrassing hidden in the middle of text.
1. Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
2. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
3. There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum, you need to be sure there isn't anything embarrassing hidden in the middle of text.


The full story will go here. For now, here's the Wikipedia page:
In 1986 the first Avatars in a graphical MMO were premiered in Lucasfilm's Habitat.
30 years later Museum of Art and Digital Entertainment (The MADE) is bringing it back for posterity as an open source project.
Despite being created in 1986 for a 64k, 1Mhz Commodore 64 computer, this project is immense. We need help with not only Java and Javascript, but also with world creation, alternate clients, documentation, development, and deployment tools.
Learn MoreOur goal is to rebuild the full Habitat experience, and we need help from developers, designers, writers, and anyone else who'd like to contribute. Come help us build something awesome!
Join Us In-Game
Diagrams and explanations of how it worked then; and how it works now.
Architecture DocumentationNeoHabitat's Java and JS docs and bitwise details about the C64 client and protocol.
Developer DocsThis project is only possible with the tireless support of The Made: The Museum of Art and Digital Entertainment in Oakland, California.
The project is Open Source, under the MIT License.
This page uses a template from TEMPLATED and icons from FontAwesome.io.