I am constantly appreciating the opportunity I have, to be able to be a student of Dev Academy, so of course I have some goals of what I would like to get out of the program. The amount of effort and commitment I put in will directly determine the results of what I get out of it, so this learning plan is very important to me.
To create a strong portfolio of projects
Fully understand the concepts that have been taught
Feel like I got the most that I could out of the course
Be able to move on to some work experience that will eventually lead to freelancing work
Determination and motivation – I know that this course isn’t going to be easy, so I am willing to be up early and up
late until the work is done and I understand what I am learning.
Work well under pressure – it's actually where I thrive, once there’s a certain amount of pressure I am able to focus
for long periods of time in order to complete the task.
Time management – this is one I would like to tackle during this course, but currently my schedule is jam-packed,
so managing when and how long I can spend on a task is essential to good time management.
Perfectionism – I feel like this is a common issue in any creative industry, but I have learnt that completed a
task is the goal, not perfecting every single element and running out of time before it is completed.
First of all I have the scheduling task of working around my current job during foundations and bootcamp.
I have organised to go to down to 20 hours a week during bootcamp and will continue doing 60 hours a week during
the foundations. This makes managing the workload essential if I want to reach my goals in this course.
I also play hockey, so a practice and a game each week.
During the times that I have scheduled for working on this course, I have to take steps to really focus,
in order to stay within the time box for each task, allow time for extra research and clarification, and
get the tasks completed in time. Working in an environment that has no distractions is the biggest help
for me, so I’ve set up a desk in my room where I only have my laptop and notebook, and can take a break
every 30 mins to check my phone, talk to flat-mates, find snacks etc.
Since I am at work from 6am-7:30pm, I have scheduled the time that I get home until 11pm to be the time each night that I tackle the tasks. Weekends are also reserved for the course, with a bit less strictness. This will work around foundations but the learning plan will change for bootcamp. I have also discussed with my facilitator the option of taking Wednesday off to focus solely on the sprint for that week, in order to get a head start and encounter any problems earlier in the week rather than the weekend when there’s less help available. This will be more convenient for myself, and for the people helping me, as they don’t work on the weekends. This will give me the option of going into the campus to seek help as well.
During bootcamp, Dev Academy will be my main priority, and I plan to get to the classroom at 6am each morning to begin learning and stay late until I understand each day’s work and completed as much of the challenges as I can, in order to stay on top of the workload. In terms of working with other learners, group projects would be very important as I wouldn’t like to let the team down in any way. This would means committing to any meetings, deadlines or promises, in order to complete the task to a high standard. If any of this unexpectedly changes or I am struggling, then communicating this to the group as soon as possible is the fair thing to do, so we come up with an alternative solution or tackle the issue together, earlier, before it comes a bigger issue.
From the facilitation team, I expect that they will do their best to help direct me where I need to go in a timely manner, as long as I have asked for help early in the week. I think feedback is very important, so knowing what I’m doing wrong before the mistakes turn into bad habits would be appreciated, and guidance and reassurance when needed would also be very helpful.
All in all, this journey is my responsibility, so I will continue to adapt this plan each week, as I learn what works best for me.


{% extends 'core/base.html' %} {% from 'macros/social.html' import social_buttons %} {% block content %}
Reminders for your Breeze® Card
{{ social_buttons() }}{{ config.SITE_NAME }} is a useful reminder tool for anyone who uses a Breeze® Card to ride MARTA® around Atlanta on their daily commute, to and from sporting events, or for any other reason. Whether it's a note to remind you to refill your card or an upcoming expiration date, reminders are customizable to your needs and can be sent to your email or mobile phone.
Simple. It's about convenience and creating a better experience. Using public transit can save you time, money and headaches from sitting in traffic. For some of us, the cost to commute to and from Atlanta was between $17 and $20 per day. Per day! In fact, this site was created almost entirely while taking public transit. But there was something missing: reminders.
No need to download apps. {{ config.SITE_NAME }} is a mobile-friendly site that can be viewed anywhere on any device. There's no need to feel left out because your favorite sites haven't created apps that work for your device. We've taken that worry out of the equation and made this service accessible for everyone!
{{ config.SITE_NAME }} is 100% free to use. All you have to do is register for a free account, verify your email address, and you're up and running! Keep in mind that free means ad-supported, so pretty please don't use an ad blocker; it's good karma and helps us keep the site free to use!


#include "_doctype.html"
On December 19 2017, Microsoft announced that since insider build 17063 of Windows 10, curl is a default component. SUBTITLE(Windows 10/11 bundle curl)
All installs of Microsoft Windows 10 and Windows 11 get curl installed by default since then.
The Microsoft provided version is built to use the Schannel TLS backend. Invoking curl -V after the April 11 2023 update shows this on these platforms:
curl 8.0.1 (Windows) libcurl/8.0.1 Schannel WinIDN Release-Date: 2023-03-20 Protocols: dict file ftp ftps http https imap imaps pop3 pop3s smtp smtps telnet tftp Features: AsynchDNS HSTS HTTPS-proxy IDN IPv6 Kerberos Largefile NTLM SPNEGO SSL SSPI threadsafe Unicode UnixSocketsSUBTITLE(Separate)
The curl tool shipped with Windows is built by and handled by Microsoft. It is a separate build that will have different features and capabilities enabled and disabled compared to the Windows builds offered by the curl project. They do however build curl from the same source code. If you have problems with their curl version, report that to them.
You can probably assume that the curl packages from Microsoft will always lag behind the versions provided by the curl project itself. SUBTITLE(A Powershell alias)
The curl tool comes installed in addition to the dreaded curl alias that plagues Powershell users since it is an alias that runs the invoke-webrequest command and therefore isn't acting much like curl at all.
A work-around is to invoke curl as "curl.exe" to prevent powershell from treating it as an alias. #include "_footer.html"


OpenFile()
语法
Result = OpenFile(#File, Filename$ [, Flags])概要
Opens a file for reading/writing or creates a new file if it does not exist.
参数
#File The number to identify the file. #PB_Any 可以用来自动生成这个编码. Filename$ The filename and path to the file. If the filename does not include a full path, it is interpreted relative to the current directory. Flags (可选) It can be a combination (using the '| operand) of the following values: #PB_File_SharedRead : the opened file can be read by another process (Windows only). #PB_File_SharedWrite: the opened file can be write by another process (Windows only). #PB_File_Append : the file pointer position will be set at the end of file. #PB_File_NoBuffering: the internal PureBasic file buffering system will be disabled for this file. FileBuffersSize() can not be used on this file.combined with one of the following values (the following flags affect the WriteString()(), WriteStringN(), ReadString(), ReadCharacter() and WriteCharacter() behaviour):#PB_Ascii : all read/write string operation will use ascii if not specified otherwise (default for ASCII executable). #PB_UTF8 : all read/write string operation will use UTF-8 if not specified otherwise (default for Unicode executable). #PB_Unicode: all read/write string operation will use Unicode if not specified otherwise.
返回值
Returns nonzero if the file was opened successfully and zero if there was an error. If #PB_Any was used as the #File parameter then the new generated number is returned on success.
备注
This function fails if the file cannot be opened with write permission, for example if the file is located on a read-only file-system like a CD. To open a file for reading only, use the ReadFile() function. To overwrite an existing file with a new and empty file, use the CreateFile() function.
The file pointer will be positioned at the beginning of the file. To append data to the end of the file, use the #PB_File_Append flag to set the pointer to the end of the file.
示例
If OpenFile(0, "Test.txt") ; opens an existing file or creates one, if it does not exist yet FileSeek(0, Lof(0)) ; jump to the end of the file (result of Lof() is used) WriteStringN(0, "... another line at the end.") CloseFile(0) EndIf
参阅
CreateFile(), ReadFile(), CloseFile()
已支持操作系统
所有


Each monitor is able to display stats from a system on a separate client. The following are the details for each parameter that can be specified.
The name of the monitor. This field is displayed in the heading of the monitor, and serves to identify the monitor for the user. It does not need to be unique; multiple monitors may have the same name, though that doesn't make much sense.
The HTTP address of the client machine, as accessible by the server. This may or may not be the same as the address as accessible by the user's web browser. The HTTP address must be available to the server in order for the monitor to be able to retrieve the desired stats.
The type of monitoring to perform. Depending on the selection chosen, System
or Script
, this determines the other settings are available.
CPU
, RAM
, or Disk Space
) depending on the System Stat
setting, and display the results as a Gauge
.Script Name
setting, parse the output generated by the script with the specified Output Parser
setting (a blob of javascript), and render the output of the Output Parser with the specified Chart Type
setting (Status
, Gauge
, Bar Chart
, Pie Chart
, or Line Chart
- see the Chart Types section for more information).The way the data is sent back and forth in the application. Two choices are supported: REST
and MQ
. See the Data Flow section for the differences between the two choices.
The time between updates. Choices range from 5 seconds
to 1 day
.
More details concerning the Script
, Chart Type
, Output Parser
, and Protocol
can be found under the Configuration section.
This application comes with a number of charts which hopefully covers all the common cases of intuitively displaying monitor statuses.
{ 'value': value, 'status': status }
value
is any arbitrary string, andstatus
is one of the following: "success", "warning", or "failure", where its value determines the color (green, yellow, or red, respectively) shown{ 'value': value, 'max': max, 'unit': displayUnit, 'mediumThreshold': mediumThreshold, 'highThreshold': highThreshold }
value
is the value of the data source (any arbitrary number),max
is the maximum number allowed (any arbitrary number),unit
is the unit to be displayed next to value (any arbitrary string, preferably 2 characters or less),mediumThreshold
is the ratio of value to max at which the color turns yellow (any number between 0 and 1), andhighThreshold
is the ratio of value to max at which the color turns red (any number between mediumThreshold
and 1); if the ratio of value to max is under mediumThreshold
, then the color is green{ 'values': values, 'max': max, 'unit': displayUnit, 'mediumThreshold': mediumThreshold, 'highThreshold': highThreshold }
values
is a hash of { 'value': value }
objects (i.e. { key: {'value': value}, ... ]
), where
key
is the id of the data source (any arbitrary string), andvalue
is the value of the data source (any arbitrary number),max
is the maximum number allowed (any arbitrary number),unit
is the unit to be displayed for the y axis (any arbitrary string),mediumThreshold
is the ratio of value to max at which the color for the bar turns yellow (any number between 0 and 1), andhighThreshold
is the ratio of value to max at which the color turns red (any number between mediumThreshold
and 1); if the ratio of value to max is under mediumThreshold
, then the color is green{ key: { 'value': value, 'color': color }, ... }
key
is the id of the data source (any arbitrary string),value
is the value of the data source (any arbitrary number), andcolor
is the color used to show the data source (a color string in hex format - i.e. '#XXXXXX'){ key: { 'value': value, 'color': color }, ... }
key
is the id of the data source (any arbitrary string),value
is the value of the data source (any arbitrary number), andcolor
is the color used to show the data source (a color string in hex format - i.e. '#XXXXXX')While there are many dashboard applications out there, this particular application aims to strike the perfect balance between customization and simplicity, by providing a solid data flow while exposing key parts of the application for customization. The intention is that users will not be compelled to have to introduce hacks in order to extend needed functionality to this application, though should the user wish to do so, that is also possible. To accomplish this goal, a few crucial handles are exposed: the name of a script to be run on the client, the chart type, and the output parser. This allows the user to specify the data (s)he wishes to monitor, set the chart type to appropriately render the information, and also to massage the data so that the chart type can process and render the results.
The script should be placed in a scripts
directory that is on the same level as the .jar
file. Some examples are present when extracting the distribution .zip
file. Currently, Windows .bat
files and Linux/Mac OSX .sh
files are supported. On Linux and/or Mac OSX systems, the executable permission may need to be set explicitly on the script file. What the output of the script is supposed to be is open-ended. It is up to the user what (s)he wants to return from this script. Whatever the output is, the client will return to the server, and the server will return to the browser. It is then the output parser's job to parse the output and extract the information.
The chart type includes many various types, which are explained in more detail in the Chart Types section. If none is specified, the raw JSON response will be printed.
This is an inline JS function that is evaluated every time the monitor response is available. What is returned here is the value used to update the chart. Thus, it is the job of this function to return something in a format that is valid to the chart type being used. Each chart type has a specific format, which is explained in more detail in the Chart Types section. Note: The maximum length of the output parser is 1023 characters long. This number was chosen both as a sane number large enough for accomplishing the job of massaging the data to fit the inputs for the charts, and small enough to not negatively impact performance too much and to discourage potential security exploits (where custom JS is run, there is the potential it can cause harm to the user's system).
There are two main data flows supported by this application - REST and MQ (Message Queue via RabbitMQ). When REST is selected, the server will periodically send REST webservice requests to clients. Clients will respond with JSON responses, which will then be sent to the browser. This is the simplest data flow. When MQ is selected, the server will periodically send REST webservice requests to clients to start the clients. Clients will then periodically send messages to the message queue, which the server will listen for. Once a message appears in the message queue, the server will consume it by parsing the message, and persisting it in MongoDB. Concurrently, the server will be returning responses found in MongoDB within the last 5 seconds (every 5 seconds) to the browser. With MQ, the data flow is significantly more complex, with quite a few extra moving pieces, as follows:


Weather forecast, moon phase and sky configuration in real time for São Paulo - Brazil
Observatory: Barra Funda, São Paulo, Brazil.
The following box provides much more weather parameters together with the estimated sky quality of the site. Even more details can be accessed by clicking on the box, which provides, among other things, the sky brightness of the Bortle scale. The lower the value on the Bortle scale, the better the quality of the sky. Values range between 1 and 9. For instance, São Paulo, Brazil, is a Class 9. My hometown, Ituiutaba, Brazil, is a Class 5. For more information about the quality of the sky, seen in a very didactic way for the entire planet, visit here!
I opted for redundancy in the weather forecast for two reasons: i) to guarantee two different data sources and ii) because the first box has the real-time value of meteorological parameters, in a more intuitive way than the second (which is more complete). So, in my opinion, the two tools complement each other very well.
Moon phase:
If you want to choose another location and/or time, you can adjust them by clicking on the grey text below.
Fight light pollution!
Carina Nebula photographed by me in Ituiutaba, Brazil, Feb 09, 2021. Equipment: Skywatcher evostar72ED, Canon 600D, Skywatcher Star Adventurer mount. Software: Deep Sky Stacker (DSS) DSS, Adobe Lighroom CC.
Milkway as seen from the Brazilian country side!
Total phase of the lunar eclipse of May 15-16, 2022. The moon was photographed by me in São Paulo, Brazil, May 16, 2022. Equipment: Skywatcher evostar72ED, Canon 600D, Skywatcher Star Adventurer mount. Software: Adobe Lighroom CC. It was a big surprise to have been able to capture background stars, since São Paulo is a capital that suffers from strong light pollution.
Photo taken in Socorro-SP. Lunar cinerea light.
Almost full moon!
The lovely German sky, where the brightest 'star' is the planet Jupiter. I'm in the background, enjoying this nice view! Miss you, Germany!


Hypothesis, Theory, and Law
In science the words hypothesis, theory, and law have special meanings that don't exactly agree with how they are used outside of science.
A hypothesis is a proposed explanation for a phenomenon. A hypothesis is an educated guess about something. Often scientists test a hypothesis through experimentation.
A scientific theory is a well-confirmed explanation of a phenomenon. Theories have been rigorously tested many times. The word theory outside of science is used for guesses, but in science it is the highest level of knowledge.
A scientific law is a similar to a theory, but with some limitations. They don't offer any explanation, just a relationship. Additionally laws generally only apply to a limit situation. Laws are often conclusions drawn from some initial postulates.
Probability and Truth
value of Bayesian probability (no true and false, only % chance to be true)
scientists shouldn't say they believe in things 100%, things have a probability or being true or not
Is there an elephant less than 100m away from you right now?
Human Biases
science as a progression away from human biases
self centered: the universe is centered around me > Earth > Sun > there is no center
relativity: velocity only exists relative to something
https://en.wikipedia.org/wiki/List_of_cognitive_biases
Perception and Reality
real things, we can't directly sense: E-M spectrum, subatomic particles, gravity fields, electric fields, electricity
sensory illusions: why does metal feel cold, optical illusions,
delusions: some people believe things that are in their mind exist outside their mind (ghosts)
"Reality is that which, when you stop believing in it, doesn't go away." - Philip K. Dick
Modeling of Reality
Science builds models to simplified a narrow aspect of reality. These models are often very accurate as long as they stay within a range of values. For example newtonian physics works very well, but it becomes inaccurate near the sped of light. We can switch to relativistic physics to to get accurate predictions near the speed of light.
Pseudoscience
link codepen
Quantification
value of quantified values vs qualitative values
History: 18th century qualitifcation of science. New naming system
Crash course: enlightenment


DfE enquiries
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Press release
Minister issues call for more academy sponsors to come forward to raise standards in education in Yorkshire and the Humber.
Schools Minister Lord Nash today called on leading schools, businesses and enterprising groups and individuals to step in and raise standards of education in Yorkshire and the Humber.
Three events hosted by the Department for Education, the Diocese of Wakefield and the Gorse Academies Trust are being held on 17 and 18 October in Leeds. The events aim to attract businesses, schools, community leaders and others to become academy sponsors and school governors and to encourage them to advise young people on their options for the future or provide work experience or mentors. Invitations and speakers have been drawn from across the region’s 15 local authority areas.
Many schools in the region are performing well, and there are some brilliant sponsors turning around underperformance, including Outwood Grange Academies Trust and the Gorse Academies Trust. However, there are still a number of primary and secondary schools where children are not getting the standard of education they need.
Lord Nash said businesses, and others in Yorkshire and the Humber, had the power and ability to change the current situation and improve school standards.
He said:
I want to see all schools in the area achieving the very best for their pupils. There are some fantastic examples of great schools here - but equally there are cases where children are not getting the start in life they deserve.
I would urge businesses and public-spirited individuals and groups to come forward and sponsor an academy, become a governor or get involved in another way in helping young people realise their potential.
The 3 events are being held to show businesses how they can get involved in sponsoring academies. They are:
To attend, interested parties should register online .
| Local authority | 2013 percentage who achieved level 4 or above in key stage 2 tests (provisional) | 2012 percentage who achieved 5 or more GCSEs at A* to C inc English and maths |
|---|---|---|
| Barnsley | 71% | 45% |
| Bradford | 68% | 52% |
| Calderdale | 76% | 61% |
| Doncaster | 72% | 55% |
| East Riding of Yorkshire | 77% | 57% |
| Kingston upon Hull | 70% | 48% |
| Kirklees | 70% | 62% |
| Leeds | 73% | 55% |
| North East Lincolnshire | 69% | 61% |
| North Lincolnshire | 70% | 56% |
| North Yorkshire | 73% | 66% |
| Rotherham | 70% | 60% |
| Sheffield | 70% | 56% |
| Wakefield | 71% | 59% |
| York | 77% | 63% |
| Yorkshire and Humber average | 72% | 57% |
| England average | 75% | 59% |
| Local authority | Primary below floor 2012 | Secondary below floor 2012 | SM primary | SM secondary | SM special/ PRU | Total in SM |
|---|---|---|---|---|---|---|
| Barnsley | 4 | 3 | 2 | 2 | 0 | 4 |
| Bradford | 7 | 1 | 1 | 0 | 0 | 1 |
| Calderdale | 6 | 0 | 1 | 0 | 0 | 1 |
| Doncaster | 5 | 2 | 3 | 2 | 0 | 5 |
| East Riding of Yorkshire | 1 | 1 | 0 | 0 | 0 | 0 |
| Kingston upon Hull | 5 | 2 | 3 | 2 | 0 | 5 |
| Kirklees | 10 | 2 | 2 | 1 | 0 | 3 |
| Leeds | 15 | 5 | 1 | 1 | 0 | 2 |
| North East Lincolnshire | 2 | 1 | 0 | 0 | 0 | 0 |
| North Lincolnshire | 3 | 2 | 2 | 0 | 0 | 2 |
| North Yorkshire | 9 | 1 | 5 | 1 | 1 | 7 |
| Rotherham | 6 | 1 | 7 | 1 | 0 | 8 |
| Sheffield | 5 | 2 | 4 | 3 | 1 | 8 |
| Wakefield | 8 | 0 | 5 | 0 | 1 | 6 |
| York | 3 | 1 | 2 | 0 | 0 | 2 |
| Yorkshire and Humber total | 89 | 24 | 38 | 13 | 3 | 54 |
| England total | 476 | 195 | 286 | 79 | 28 | 393 |
| Local authority | Number of converter academies | Number of sponsored academies | Total open academies |
|---|---|---|---|
| Barnsley | 11 | 10 | 21 |
| Bradford | 12 | 13 | 25 |
| Calderdale | 21 | 3 | 24 |
| Doncaster | 24 | 5 | 29 |
| East Riding of Yorkshire | 8 | 0 | 8 |
| Kingston upon Hull | 18 | 10 | 28 |
| Kirklees | 14 | 3 | 17 |
| Leeds | 17 | 12 | 29 |
| North East Lincolnshire | 22 | 14 | 36 |
| North Lincolnshire | 17 | 5 | 22 |
| North Yorkshire | 11 | 0 | 11 |
| Rotherham | 13 | 4 | 17 |
| Sheffield | 21 | 11 | 32 |
| Wakefield | 36 | 11 | 47 |
| York | 2 | 0 | 2 |
| Yorkshire and Humber total | 247 | 101 | 348 |
| England average | 2,481 | 883 | 3,364 |
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 15 October 2013
From: Department for Education Lord Nash
Part of: Academies and free schools


Fast Neural Machine Translation in C++
The models used for the translation speed benchmarks have been described in the IWSLT paper.
We ran our experiments on an Intel Xeon E5-2620 2.40GHz server with four NVIDIA GeForce GTX 1080 GPUs. We present the words-per-second ratio for our NMT models using Amun and Nematus, executed on the CPU and GPU. For the CPU version we use 16 threads, translating one sentence per thread. We restrict the number of OpenBLAS threads to 1 per main Nematus thread. For the GPU version of Nematus we use 5 processes to maximize GPU saturation. As a baseline, the phrase-based model reaches 455 words per second using 16 threads.
The CPU-bound execution of Nematus reaches 47 words per second while the GPU-bound achieved 270 words per second. In similar settings, CPU-bound Marian is three times faster than Nematus CPU, but three times slower than Moses. With vocabulary selection (systems with asteriks) we can nearly double the speed of Amun CPU. The GPU-executed version of Amun is more than three times faster than Nematus and nearly twice as fast as Moses, achieving 865 words per second, with vocabulary selection we reach 1,192. Even the speed of the CPU version would already allow to replace a Moses-based SMT system with an Marian-based NMT system in a production environment without severely affecting translation throughput.
Amun also features “batched” translation, i.e. multiple sentences are being translated at once on a single GPU. Since computation time for matrix products on the GPU increases sub-linearly with regard to matrix size, we can take advantage of this by pushing multiple translation through the neural network. For the same models as above and a batch-size of 200 (beam-size 5) we achieve over 5000 words per second on one GPU. This scales linearly to the number of GPUs used. As before, the asteriks marks systems with vocabulary filtering. Systems “Single” and “Single*” are the same as two best systems in the first graph.
We also compare training speed between a number of popular toolkits and Marian (v.1.0.0). The numbers reported in this section have been computed on a single GPU.
We compare models with standard settings and comparable embedding, hidden layer and batch sizes. The first graph corresponds to the model parameters described in the OpenNMT paper, the second corresponds to Nematus default settings for embedding and hidden layer sizes. In both cases we use a vocabulary size of 32,000 subword units. The models were trained on German-English WMT data. Nematus-array is Nematus run with the new Cuda backend libgpuarray. Blue bars describe training speed on a NVIDIA GTX 1080 GPU, green bars on a Titan X with Pascal architecture.
We demonstrate the training speed as thousands of source tokens per second for different model types trained with Marian v1.5 (see the Marian demonstration paper for more details).
All model types benefit from using more GPUs. Scaling is not linear (dashed lines), but close. The tokens-per-second rate (w/s) for Nematus on the same data on a single GPU is about 2800 w/s for the shallow model. Nematus does not have multi-GPU training. Marian achieves about 4 times faster training on a single GPU and about 30 times faster training on 8 GPUs for identical models.


Ryan Lowe issues 'hands-off' warning over Plymouth Argyle goalkeeper Mike Cooper
The 20-year-old starred for the Pilgrims in a 1-1 draw with Everton Under-23s on Sunday
by Chris ErringtonRyan Lowe has issued a ‘hands-off’ warning to any clubs who have taken note of the potential of Plymouth Argyle’s 20-year-old goalkeeper Mike Cooper.
The Pilgrims’ prospect is currently the back-up to first choice shot-stopper Alex Palmer, the loan signing from West Bromwich Albion.
But when Cooper has played, such as in the 1-0 EFL Trophy defeat by Chelsea Under-21s at Home Park last month, he has been in fine form.
Cooper followed that up by making a series of excellent saves when Argyle drew 1-1 with Everton in the Premier League Under-23 Cup at Southport FC last Sunday.
Performances of that quality, against such high-level opposition, will not have gone un-noticed.
Lowe was asked by Plymouth Live whether he expected other clubs to start showing interest in the talented young ‘keeper.
He replied: “Good question, I haven’t thought of that because he’s my goalkeeper and he’s contracted to us.
“He’s not going anywhere and if he does we want a lot of money for him.
“Do you know what, I haven’t thought about it, but what about Adam Randell? He was the best player on the pitch in midfield.
“No-one talks about him. Are people going to come calling for him?
“Young Jarvis (Cleal) played right wing-back and was flying past their 23s as if no-one was there, so it weren’t just Coops.”
Lowe added: “I wouldn’t think about anyone picking up the phone (about Cooper).
“If they do, it’s going to cost them a lot of money so that’s fine, but he ain’t going nowhere because he’s my goalkeeper.
“He’s only a youngster and has still got more to come.”
Cooper signed a two-year contract with Argyle when he turned professional in 2018 which runs until the end of this season.
To date, he has made a total of five starts and two substitute appearances for the Pilgrims.


{% extends "flat/flatpage.html" %} {% block title %} Open States - Contact Us {% endblock %} {% block flatpage %}
Please note: we are not affiliated with any state legislature and cannot respond to comments on legislation. Please direct comments on legislation to your legislator.
If you have a question about Open States' mission, data or would like to learn how to incorporate our data into your own work/apps, please post on our forum.
{% endblock %}


Select One...
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Oceania > Australia and New Zealand
Oceania > Melanesia
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Oceania > Polynesia
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Asia > Eastern Asia
Asia > Northern Asia
Asia > South-East Asia
Asia > Southern Asia
Asia > Western Asia
The Americas
The Americas > North America
The Americas > Central America
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The Americas > Caribbean
The Americas > United States Minor Outlying Islands
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Europe > Eastern Europe
Europe > Northern Europe
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Europe > Western Europe
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Africa > Eastern Africa
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Africa > Southern Africa
Africa > Western Africa


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I think becoming familiar with the mechanics of working with monads is more important than the question of what a monad is. For this reason, I think monad tutorials solve the wrong problem. I'm giving you a monad anti-tutorial instead, where I don't try to explain what a monad is but I do try to show you how to use them.
I'm assuming basic familiarity with Haskell's syntax, but even if you're not I hope you'll still be able to follow this.
Let's start with a definition. Monad
in Haskell is a typeclass, which is very
much like an interface in many other languages. Because Haskell is not
object-oriented, it has types conform to typeclasses instead of objects
conforming to interfaces, and each type can declare that it implements a
particular typeclass by supplying definitions for each function that the
typeclass specifies. Monad
looks very much like this:
class Monad m where
return :: a -> m a
(>>=) :: m a -> (a -> m b) -> m b
This means that for any type m
, if you provide two function definitions
called return
and (>>=)
(pronounced 'bind') with the correct type
signatures, you've made a Monad
instance!
There are two things I think are confusing about this definition:
-
return
is a regular function whose meaning is unrelated to thereturn
statement in most other programming languages. -
Haskell allows you to define infix operators by surrounding them in parentheses, and this one looks a bit odd and vaguely threatening with its spiky edges.
 These
laws aren't enforced by the typeclass definition so it is possible to define
unlawful instances. That's a very bad idea though.
And that's all. Really.
So what's all the hype about?
One reason might be that Haskell has syntax sugar for this particular
typeclass. This syntax sugar is known as do
-notation, and it allows you to
write code that looks like
foo a b = do
a' <- a
b' <- b
return (a' + b')
that then gets rewritten to
foo a b =
a >>= \a' ->
b >>= \b' ->
return (a' + b')
If you want to define variables in between you can use
bar a b = do
a' <- a
let a'' = a' + 1
b' <- b
return (a'' + b')
and this becomes
bar a b =
a >>= \a' ->
let a'' = a' + 1 in
b >>= \b' ->
return (a'' + b)
Sometimes you don't care about the variable on the left hand side of the <-
,
and you can omit it like
baz a b = do
a
b' <- b
return b'
which desugars to
baz a b =
a >>= \_ ->
b >>= \b' ->
return b'
I'll be using the above definitions in my examples, so if you find yourself
wondering where bar
came from a bit later, check back here.
I think it's worth spending time on understanding do
notation and converting
between the sugared and desugared representations because:
-
Familiarity with
do
notation will allow you to effectively use monads, whether or not you feel you understand them. -
Doing this will teach you (or at least help you learn) the monad laws.
But enough about that. Let's walk through some contrived examples to see how we can use the same typeclass (and the same functions) to do a bunch of very different things!
I'd like to start with the Maybe
type, which allows us to work with possibly
null
values in a way I think is better than most other approaches. The
implementation (or instance
) of Monad
looks like
instance Monad Maybe where
return v = Just v
(>>=) Nothing _ = Nothing
(>>=) (Just v) f = f v
and in use it looks like
λ> foo (Just 1) (Just 2)
Just 3
λ> foo Nothing (Just 2)
Nothing
λ> foo (Just 1) Nothing
Nothing
λ> bar (Just 1) (Just 2)
Just 4
This captures the idea that if any of the parameters is Nothing
, the overall
result should also be Nothing
. The cool part is that we don't need to worry
about this when defining foo
, because the underlying implementation takes
care of it for us.
In a language like Python, we don't really have a way to abstract away the fact that an input can be possibly null, and we have to specifically account for this possibility. Similar code in Python would look like
def foo(a, b):
if a is not None and b is not None:
return a + b
else:
return None
and this code would not work without modification for any of the following examples.
A second example is the List
type. A valid instance looks like
instance Monad [] where
return v = [v]
(>>=) v f = concatMap f v
and you would use this like
λ> foo [1, 2] [2, 3, 4]
[3, 4, 5, 4, 5, 6]
λ> foo [] [2, 3, 4]
[]
λ> bar [1, 2] [2, 3, 4]
[4,5,6,5,6,7]
Where a Maybe
can be one of two possible values, a List
is an arbitrary
number of values.
In Python this would be a list comprehension:
def foo(a, b):
return [a_+b_ for a_ in a for b_ in b]
which, again, is too specific to work with any of the other examples.
The Maybe
type could be thought of as a box containing either one or no
elements, and similarly List
may be thought of as a box containing an
arbitrary number of elements. It may be tempting to think of all monads as
boxes of some kind, but monads are more general than that. Let's look at the
Reader
type, which allows us to ask
for some value that can be passed in
later (in some circles this is called dependency injection):
data Reader e a = Reader {runReader :: e -> a}
ask = Reader (\e -> e)
instance Monad (Reader e) where
return a = Reader (\_ -> a)
(>>=) (Reader r) f = Reader (\e -> runReader (f (r e)) e)
I had to look this one up. I don't expect you to immediately understand this implementation, my point is that this is bog-standard Haskell code. It's a bit more interesting to use:
x = do
value <- ask
return (value + 1)
y = do
value <- ask
return (value + 2)
λ> runReader (foo x y) 1
5
λ> runReader (foo x y) 2
7
λ> runReader (bar x y) 1
6
I have no idea how you'd do this in Python, but I can guarantee it's not general either.
Finally, let's look at the IO
type, which I find a bit scary. I don't really
understand how it's implemented. so I'll be skipping that section. Fortunately,
we know how to use it, because we are familiar with the interface, so let's go
straight to that.
getInt = do
input <- baz (putStr "Enter integer: ") getLine
let int = read input :: Int
return int
λ> foo getInt getInt
Enter integer: 1
Enter integer: 2
3
λ> bar getInt getInt
Enter integer: 1
Enter integer: 2
4
Okay, enough examples. As you can see, we've used the same interface to deal with failure, an arbitrary number of values, an extra parameter, and input/output. There are many useful monad instances in Haskell, from container types such as Seq to abstractions such as Writer and State, through to control flow as implemented by the Cont monad.
If you can make your type conform to the typeclass, Haskell will give you a pretty general and flexible API to work with it. Even if you don't completely understand what's going on with a certain type, you know enough to use it based on your knowledge of this interface. As far as I'm concerned, this is the point of monads in Haskell.
Thanks to James Porter, Nick Platt, and Lindsey Kuper for their feedback on this post.
Comments !


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java.lang.Object gr.forth.ics.jbenchy.Database
public abstract class Database
A database can create and contain Aggregators.
Aggregator
| Constructor Summary | |
|---|---|
Database()
|
| Method Summary | |
|---|---|
abstract Aggregator |
create(Schema schema,
java.lang.String name)
Returns an aggregator backed up by a created table with the given schema and name. |
abstract boolean |
delete(java.lang.String name)
Drops a table with the specified name. |
Aggregator |
forceCreate(Schema schema,
java.lang.String name)
Creates an aggregator that is backed up with a strictly new table (with the specified name) in this database and adheres to given specified schema. |
abstract Aggregator |
get(java.lang.String name)
Returns an aggregator with the specified name, which is backed up with an existing table of the same name. |
Aggregator |
getOrCreate(Schema schema,
java.lang.String name)
Returns an aggregator with the specified schema and name, backed up with an existing table with the same name, or a new one if no such table exists. |
abstract void |
shutDown()
Attempts to cleanly shutdown the database. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public Database()
| Method Detail |
|---|
public Aggregator forceCreate(Schema schema, java.lang.String name) throws SQLRuntimeException
schema
- the schema that the created aggregator will adhere toname
- the name
of the aggregator, and
also the name of the table that will back the returned aggregator up
SQLRuntimeException
- when the underlying database throws an exceptionpublic Aggregator getOrCreate(Schema schema, java.lang.String name) throws SQLRuntimeException
Note that if an existing table is found, the returned aggregator may have less specific data types in comparison to the ones used to originally created it (this affects types which are parameterized by custom lengths).
schema
- the schema that the created aggregator will adhere toname
- the name
of the aggregator, and
also the name of the table that will back the returned aggregator up
SQLRuntimeException
- when the underlying database throws an exceptionpublic abstract boolean delete(java.lang.String name)
name
- the name of the table to drop
public abstract Aggregator get(java.lang.String name) throws SQLRuntimeException
name
- the name of the aggregator to return, as well as the name of the
backing table
SQLRuntimeException
- if the specified table is not found, or the database
throws an exceptionpublic abstract Aggregator create(Schema schema, java.lang.String name) throws SQLRuntimeException
schema
- the schema that the returned aggregator will adhere toname
- the name of the returned aggregator, as well as the name of the backing table
java.sql.SQLException
- when the underlying database throws an exception
SQLRuntimeException
public abstract void shutDown()
|
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(Found in the papers of Miss S. E. Waldo by Swami Raghavananda when he was in the U.S.A.)
This is a story from one of the books of India, called "Lives of Saints". There was a young man, a Brahmin by birth, in a certain village. The man fell in love with a bad woman in another village. There was a big river between the two villages, and this man, every day, used to go to that girl, crossing this river in a ferry boat. Now, one day he had to perform the obsequies of his father, and so, although he was longing, almost dying to go to the girl, he could not. The ceremonies had to be performed, and all those things had to be undergone; it is absolutely necessary in Hindu society. He was fretting and fuming and all that, but could not help it. At last the ceremony ended, and night came, and with the night, a tremendous howling storm arose. The rain was pouring down, and the river was lashed into gigantic waves. It was very dangerous to cross. Yet he went to the bank of the river. There was no ferry boat. The ferrymen were afraid to cross, but he would go; his heart was becoming mad with love for the girl, so he would go. There was a log floating down, and he got that, and with the help of it, crossed the river, and getting to the other side dragged the log up, threw it on the bank, and went to the house. The doors were closed. He knocked at the door, but the wind was howling, and nobody heard him. So he went round the walls and at last found what he thought to be a rope, hanging from the wall. He clutched at it, saying to himself, "Oh, my love has left a rope for me to climb." By the help of that rope he climbed over the wall, got to the other side, missed his footing, and fell, and noise aroused the inmates of the house, and the girl came out and found the man there in a faint. She revived him, and noticing that he was smelling very unpleasantly, she said, "What is the matter with you? Why this stench on your body? How did you come into the house?" He said, "Why, did not my love put that rope there?" She smiled, and said, "What love?  How did you cross the river?" "Why, I got hold of a log of wood." "Let us go and see," said the girl. The rope was a cobra, a tremendously poisonous serpent, whose least touch is death. It had its head in a hole, and was getting in when the man caught hold of its tail, and he thought it was a rope. The madness of love made him do it. When the serpent has its head in its hole, and its body out, and you catch hold of it, it will not let its head come out; so the man climbed up by it, but the force of the pull killed the serpent. "Where did you get the log?" "It was floating down the river."  The woman looked at him and said, "I never believed in love; we never do; but, if this is not love, the Lord have mercy on me. We do not know what love is. But, my friend, why do you give that heart to a woman like me? Why do you not give it to God? You will be perfect." It was a thunderbolt to the man's brain. He got a glimpse of the beyond for a moment. "Is there a God?" "Yes, yes, my friend, there is," said the woman. And the man walked on, went into a forest, began to weep and pray. "I want Thee, Oh Lord! This tide of my love cannot find a receptacle in little human beings. I want to love where this mighty river of my love can go, the ocean of love; this rushing tremendous river of my love cannot enter into little pools, it wants the infinite ocean. Thou art there; come Thou to me." So he remained there for years. After years he thought he had succeeded, he became a Sannyasin and he came into the cities. One day he was sitting on the bank of a river, at one of the bathing places, and a beautiful young girl, the wife of a merchant of the city, with her servant, came and passed the place. The old man was again up in him, the beautiful face again attracted him. The Yogi looked and looked, stood up and followed the girl to her home. Presently the husband came by, and seeing the Sannyasin in the yellow garb he said to him, "Come in, sir, what can I do for you?" The Yogi said, "I will ask you a terrible thing." "Ask anything, sir, I am a Grihastha (householder), and anything that one asks I am ready to give." "I want to see your wife." The man said, "Lord, what is this! Well, I am pure, and my wife is pure, and the Lord is a protection to all. Welcome; come in sir." He came in, and the husband introduced him to his wife. "What can I do for you?" asked the lady. He looked and looked, and then said, "Mother, will you give me two pins from your hair?" "Here they are." He thrust them into his two eyes saying "Get away, you rascals! Henceforth no fleshy things for you. If you are to see, see the Shepherd of the groves of Vrindaban with the eyes of the soul.  So he went back into the forest. There again he wept and wept and wept. It was all that great flow of love in the man that was struggling to get at the truth, and at last he succeeded; he gave his soul, the river of his love, the right direction, and it came to the Shepherd. The story goes that he saw God in the form of Krishna. Then, for once, he was sorry that he had lost his eyes, and that he could only have the internal vision. He wrote some beautiful poems of love. In all Sanskrit books, the writers first of all salute their Gurus. So he saluted that girl as his first Guru.


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I think everyone here owes The Krit a beer.
Thank you THANK you THANK YOU for all those who's hard work made it possible for these builds to be copied/relocated!
Very muchly appreciated!
Joe
DUDE!!!
Quote: Posted 07/31/10 20:49 (GMT) -- avado
DUDE!!!
Now you can no longer call dibs on Mith's Blood & Faith
Too bad 4 u, the rest of us are thrilled
Take it EZ!
LMAO! Sorry that was an ecstatic DUDE!! it was a congrats not a hate! And i would NEVER do that to a build! It was all just a joke!
Quote: Posted 08/01/10 16:09 (GMT) -- avado
LMAO! Sorry that was an ecstatic DUDE!! it was a congrats not a hate! And i would NEVER do that to a build! It was all just a joke!


With Internet Explorer it is recommended that you use the
APPLET
tag for internet deployment. However, you could
use the OBJECT
tag in certain cases; e.g., if you want
users to use a particular version of Java Plug-in. In the case that
the you chose to use the OBJECT
tag, the following is
recommended.
RecommendationsThe following is recommeded for long-term reliability:
|
These are the same recommendations as for the intranet environment.
With supported Mozilla browsers it is recommended that you use the APPLET tag for internet deployment.


This function makes it easy to find a version number in an existing set by indexing from another version number. This is particularly useful when you want to know, e.g. what the last development version was before a certain patch version, or what the last minor version was before a certain major version.
search_versions( data, reference, which = length(reference[[1]]), increment = -1 )
| data | Existing version numbers to search |
|---|---|
| reference | The version number to index from - can be given as a character for convenience. |
| which | The version number part to be cycled through - can either
be supplied as a number or one of the part-names as set in
|
| increment | The number iterations to look forwards/backwards - in most cases this will be -1 to look for the previous version. |
A version number
data <- version_number("1.0.0", "1.2.0", "<IP_ADDRESS>", "2.0.0") # Find the previous dev version search_versions(data, "2.0.0", "dev")#> <version_number[1]> #> [1] <IP_ADDRESS># Find the previous patch version search_versions(data, "2.0.0", "patch")#> <version_number[1]> #> [1] 1.2.0# In some cases these will be the same: search_versions(data, "1.2.0", "dev")#> <version_number[1]> #> [1] 1.0.0search_versions(data, "1.2.0", "patch")#> <version_number[1]> #> [1] 1.0.0# If not supplied, the part that gets incremented will be chosen based on # the specificity of the reference number: search_versions(data, "<IP_ADDRESS>")#> <version_number[1]> #> [1] <IP_ADDRESS>search_versions(data, "2.0.0")#> <version_number[1]> #> [1] 1.2.0# You can use different increments, but usually this isn't needed search_versions(data, "<IP_ADDRESS>", increment = -2)#> <version_number[1]> #> [1] 1.2.0search_versions(data, "1.0.0", increment = 1)#> <version_number[1]> #> [1] 1.2.0


cqparts_fasteners
Module¶
What is a Fastaner?
A fastener is something that mechanically connects 2 or more things together, such as a screw, bolt, or nail.
For us, a Fastener
is an
Assembly
containing 1 or more
Part
objects.
For example, a nut and bolt holidng together 2 parts together:
may be in the hierarchy:
thing
├○ part_a
├─ fastener
│ ├○ bolt
│ └○ nut
└○ part_b
The cqparts_fasteners
module contains:
- parts used as common fastener components (such as nuts, bolts, and screws)
- sub-parts for fastener components:
cqparts_fasteners.solidtypes
- utility mechanisms to commonise how fasteners are applied to assemblies:
cqparts_fasteners.utils


WINNER's Song Min Ho shows off his artistic prowess on 'Journey to the New West' + transforms Kyuhyun into a genie
by sl278Song Min Ho had a chance to show off his artistic skills on the November 8 broadcast of 'Journey to the New West' by helping Kyuhyun turn into the genie from the movie 'Aladdin'!
Min Ho took care of Kyuhyun's hair as well as face make up to transform him into a perfect recreation of the beloved movie character. He appeared very focused and careful as he did his best to make sure the transformation was perfect.
Kang Ho Dong also came by and requested Min Ho's help to turn into the show's mascot and caused more laughter with his amazing art skills.


Christina Thomas
Professional Portfolio & Blog
About
GitHub Portfolio
Illustrations & Paintings
Contact
Contact Christina
Email


---
layout: post
title: Nebula3 PowerPoint slides
date: '2007-08-21T15:23:00.000+01:00'
author: Andre Weissflog
tags:
- Nebula
modified_time: '2007-08-26T08:40:42.874+01:00'
blogger_id: tag:blogger.com,1999:blog-2948438400037317662.post-421492243419578467
blogger_orig_url: http://flohofwoe.blogspot.com/2007/08/nebula3-powerpoint-slides.html
---
Here's the PowerPoint of the talk I gave yesterday at the GCDC in Leipzig:
n3talk_gcdc07.zip
If you don't have PowerPoint, there's a standalone reader available for download from MS, just google for "PowerPoint viewer".
GCDC is always fun. Unfortunately I could only stay for a few hours and then had to return to Berlin for work. GC is going to be HUUUGE this time. Looks like they've added an additional hall, the business center had to move into a new smaller hall across the "campus". I've been going to GC every year since it started, but I'm still impressed by the Leipzig Exhibition Centre's architecture and size, it's like a trip into the future.


Sharing data in your application using Services.
Notes:
- Services are a great way to share data among different controllers in
our application.
- Services are singletons. That means that there is only one instance of
each of them. This means also that if we modify the service data, this
data is going to be changed everywhere the service has been instantiated.
If, for example, we call the service in a controller using
myService = $scope.myData;
and by that we change the
content of this object in the controller, we must remember that those
changes will appear everywhere else the service is being instantiated.


Anytime is Train Time
Choo choo. Chee chee.
Current Train Schedule
Train Name
Destination
Frequency (min)
Next Arrival
Minutes Away
Add Train
Train Name
Destination
First Train Time (HH:mm - military time)
Frequency (min)
Submit


First name is: {{ firstName | lowercase}}
The name is {{ lastName | uppercase }}
Order by country name.
{{ x.name + ', ' + x.country}}
Currency sample:
Price: {{ price | currency }}
Find items with letter 'i':
{{x}}
Filter an array based on the urser
{{x}}


A couple weeks ago, Artfol hit the appstore. But what makes it so great?
Read This ArticleHow social media affects artists who use it to share their work
Read This ArticleThe western music industry has not been a very diverse place for many years, this is how it has become more open in 2020
Read This ArticleWhile there was much fanfare surrounding Disney’s new film release, the long-awaited live-action version of Mulan, the film was also greeted with criticism for various elements of its production. Two of our Alcove writers share some of their findings on the boycotts, the cast, the crew, and the culture.
Read This ArticleA brief overview of the first two novels in Mackenzie Lee’s historical adventure series in light of a loose release date for the third installment
Read This ArticleCan a popular simulation game help ease the pressure of social isolation?
Read This ArticleAbout the release of season 6 of Netflix original Bojack Horseman. Also offers a brief conceptual overview of the series.
Read This ArticleSpotlight on the journey of young musician King Princess and the upcoming release of her debut album.
Read This ArticleSummarizes the high school play that was performed on November 16th-18th and discusses its success. Previews upcoming theatre events, and what dates you can see them.
Read This ArticleCovers the performance of Rocky Horror Picture Show at the University of Michigan, the week before Halloween. Examines the differences between performances of Rocky Horror Discusses the negative representation assigned to the LGBTQ+ community through Rocky Horror
Read This ArticleDiscusses the philosophy of Ellison’s works and the world at large.
An interpretation of how society and personal experience affect the ways people (in this case the author) interpret life and the human experience.


Task assignment
- Make website with content similar to what is after the separator.
- Point the form to the following url "https://wa.toad.cz/~hurtapet/form.php".
- Do not forget to choose the correct HTTP method.
- Add form validation.
- Focus only on producing correct HTML, do not care about how the webpage looks like, that will be covered in following lectures.
-
After you are done, put the webpage into a
HTML validator to make
sure it is correct.
Task solution
Registration form
Fields marked with * are required


With a little care, you can prevent some common training injuries.
Running is a great way to get in shape. However, it can also lead to injuries. Knowing about common injuries and how to prevent them can keep you on track toward achieving your fitness goals.
Try the following strategies to prevent injuries.
See your doctor for a physical. Certain health problems may hamper your running performance and increase your risk of injury. Specifically, osteoporosis, arthritis, and other degenerative joint diseases can increase injury risk and should be addressed before you start to run.
 Begin each run at the pace of a brisk walk or gentle jog; cool down at the same pace at the end of your run. It's most important to stretch muscles that move joints. These include the calf muscle, which moves the knee and ankle, and the hamstring, which moves the knee and hip.
Wear the correct shoes. Buying shoes at an athletic store where a salesclerk can help you choose a shoe that fits your foot type can also help prevent injuries.
The following injuries are common among runners:


A table view section is a container within a table used to organize table view rows.
Use the Titanium.UI.createTableViewSection
method to create a TableViewSection
.
Before the table is rendered, the TableViewSection
add
method may be used to add TableViewRow objects to a section. After
it is rendered, one of the TableView
insertRowBefore,
insertRowAfter, or
appendRow methods must be used instead.
To remove a row from a section after the table is rendered, use the TableView
deleteRow method.
In order for a section to be visible, either its headerTitle
or headerView
property must be
configured.
Be aware that adding or removing sections individually is not supported. Instead, use the
TableView
setData method to refresh the whole table with a
new section layout.
See the description and examples sections of TableView for more details
about how to use TableViewSection
.
Note: On some platforms, TableViewSection
may be implemented as a type of view
(that is, an object that inherits from View). However, this is an
implementation detail. For portability, you should only use the documented APIs on
table view sections.
Adds a table view row to this section.
Arguments
| row | [Titanium.UI.TableViewRow] | Row to add. |
Adds the specified callback as an event listener for the named event.
Arguments
| name | [String] | Name of the event. |
| callback | [Callback<Object>] | Callback function to invoke when the event is fired. |
Applies the properties to the proxy.
Arguments
| props | [Dictionary] | A dictionary of properties to apply. |
Fires a synthesized event to any registered listeners.
Arguments
| name | [String] | Name of the event. |
| event | [Dictionary] | A dictionary of keys and values to add to the Titanium.Event object sent to the listeners. |
Gets the value of the footerTitle property.
Gets the value of the footerView property.
Gets the value of the headerTitle property.
Gets the value of the headerView property.
Gets the value of the rowCount property.
Gets the value of the rows property.
Removes a table view row from this section.
Arguments
| row | [Titanium.UI.TableViewRow] | Row to remove. |
Removes the specified callback as an event listener for the named event.
Arguments
| name | [String] | Name of the event. |
| callback | [Callback<Object>] | Callback function to remove. Must be the same function passed to addEventListener. |
Returns a row in this section.
Arguments
| index | [Number] | Section index of a row. |
Sets the value of the footerTitle property.
Arguments
| footerTitle | [String] | New value for the property. |
Sets the value of the footerView property.
Arguments
| footerView | [Titanium.UI.View] | New value for the property. |
Sets the value of the headerTitle property.
Arguments
| headerTitle | [String] | New value for the property. |
Sets the value of the headerView property.
Arguments
| headerView | [Titanium.UI.View] | New value for the property. |


None
Red Channel Displacement
Green Channel Displacement
Blue Channel Displacement
Copy Green to Red
Copy Blue to Red
Copy Red to Green
Copy Blue to Green
Copy Red to Blue
Copy Green to Blue
Remove Red Channel
Remove Green Channel
Remove Blue Channel
Red Channel Only
Green Channel Only
Blue Channel Only
Red to Alpha
Green to Alpha
Blue to Alpha
Grayscale


The roof of the hall was already burning brightly, the roaring flames painting faces bloody.From Poul Anderson’s The Broken Sword.
Page 56
The fifth sentence reads:
I like to think of it as a Dadaist exercise, where arbitrary rules and randomness dig up things of true beauty from the Internet’s subconscious.
Or, you know, maybe the monkey in us likes imitating all the other monkeys.
From ‘The Paris Review Interviews Vol 1’
(Benny, this book is yours; I’ve been meaning to return it to you for ages!)
What’s the point of the page 56 thing?
When OnChip IDE Channel10 is set to [Enabled], you can disable the primary Master and Slave UDMA or set it to [Auto].
From - XFX nForce 780i SLI 3-WAY SLI Motherboard manual.


{% extends "passvault/layout.html" %}
{% block body %}
TERMS AND CONDITIONS OF USE OF PASSVAULT
By Signing up for PASSVAULT The user agrees to the following T&CS
PASSVAULT USES MULTIPLE Encryptions to store user’s data
the admins of PASSVAULT ARE incapable of viewing any user’s data except for user’s passvault username and email id used for creating an account in passvault
This being said passvault admin or the creator is not reponsible for any database breaches (which is unlikely to happen
)


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These are simply formatted links that allow you to create dynamic or static sharing tools. Counters and other proprietary scripts have been removed. This removes any need for excessive external HTTP requests to social networks.
You can see these in use on my blog
Based on "social sharing links and buttons without the bloat" by @cferdinandi
Twitter Facebook Google+ Tumblr LinkedIn Fancy Pinterest VK Xing


Note
Click here to download the full example code
Adversarial Example Generation¶
Author: Nathan Inkawhich
If you are reading this, hopefully you can appreciate how effective some machine learning models are. Research is constantly pushing ML models to be faster, more accurate, and more efficient. However, an often overlooked aspect of designing and training models is security and robustness, especially in the face of an adversary who wishes to fool the model.
This tutorial will raise your awareness to the security vulnerabilities of ML models, and will give insight into the hot topic of adversarial machine learning. You may be surprised to find that adding imperceptible perturbations to an image can cause drastically different model performance. Given that this is a tutorial, we will explore the topic via example on an image classifier. Specifically we will use one of the first and most popular attack methods, the Fast Gradient Sign Attack (FGSM), to fool an MNIST classifier.
Threat Model¶
For context, there are many categories of adversarial attacks, each with a different goal and assumption of the attacker’s knowledge. However, in general the overarching goal is to add the least amount of perturbation to the input data to cause the desired misclassification. There are several kinds of assumptions of the attacker’s knowledge, two of which are: white-box and black-box. A white-box attack assumes the attacker has full knowledge and access to the model, including architecture, inputs, outputs, and weights. A black-box attack assumes the attacker only has access to the inputs and outputs of the model, and knows nothing about the underlying architecture or weights. There are also several types of goals, including misclassification and source/target misclassification. A goal of misclassification means the adversary only wants the output classification to be wrong but does not care what the new classification is. A source/target misclassification means the adversary wants to alter an image that is originally of a specific source class so that it is classified as a specific target class.
In this case, the FGSM attack is a white-box attack with the goal of misclassification. With this background information, we can now discuss the attack in detail.
Fast Gradient Sign Attack¶
One of the first and most popular adversarial attacks to date is referred to as the Fast Gradient Sign Attack (FGSM) and is described by Goodfellow et. al. in Explaining and Harnessing Adversarial Examples. The attack is remarkably powerful, and yet intuitive. It is designed to attack neural networks by leveraging the way they learn, gradients. The idea is simple, rather than working to minimize the loss by adjusting the weights based on the backpropagated gradients, the attack adjusts the input data to maximize the loss based on the same backpropagated gradients. In other words, the attack uses the gradient of the loss w.r.t the input data, then adjusts the input data to maximize the loss.
Before we jump into the code, let’s look at the famous FGSM panda example and extract some notation.
From the figure, \(\mathbf{x}\) is the original input image correctly classified as a “panda”, \(y\) is the ground truth label for \(\mathbf{x}\), \(\mathbf{\theta}\) represents the model parameters, and \(J(\mathbf{\theta}, \mathbf{x}, y)\) is the loss that is used to train the network. The attack backpropagates the gradient back to the input data to calculate \(\nabla_{x} J(\mathbf{\theta}, \mathbf{x}, y)\). Then, it adjusts the input data by a small step (\(\epsilon\) or \(0.007\) in the picture) in the direction (i.e. \(sign(\nabla_{x} J(\mathbf{\theta}, \mathbf{x}, y))\)) that will maximize the loss. The resulting perturbed image, \(x'\), is then misclassified by the target network as a “gibbon” when it is still clearly a “panda”.
Hopefully now the motivation for this tutorial is clear, so lets jump into the implementation.
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
import numpy as np
import matplotlib.pyplot as plt
Implementation¶
In this section, we will discuss the input parameters for the tutorial, define the model under attack, then code the attack and run some tests.
Inputs¶
There are only three inputs for this tutorial, and are defined as follows:
epsilons - List of epsilon values to use for the run. It is important to keep 0 in the list because it represents the model performance on the original test set. Also, intuitively we would expect the larger the epsilon, the more noticeable the perturbations but the more effective the attack in terms of degrading model accuracy. Since the data range here is \([0,1]\), no epsilon value should exceed 1.
pretrained_model - path to the pretrained MNIST model which was trained with pytorch/examples/mnist. For simplicity, download the pretrained model here.
use_cuda - boolean flag to use CUDA if desired and available. Note, a GPU with CUDA is not critical for this tutorial as a CPU will not take much time.
epsilons = [0, .05, .1, .15, .2, .25, .3]
pretrained_model = "data/lenet_mnist_model.pth"
use_cuda=True
Model Under Attack¶
As mentioned, the model under attack is the same MNIST model from pytorch/examples/mnist. You may train and save your own MNIST model or you can download and use the provided model. The Net definition and test dataloader here have been copied from the MNIST example. The purpose of this section is to define the model and dataloader, then initialize the model and load the pretrained weights.
# LeNet Model definition
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
self.conv2_drop = nn.Dropout2d()
self.fc1 = nn.Linear(320, 50)
self.fc2 = nn.Linear(50, 10)
def forward(self, x):
x = F.relu(F.max_pool2d(self.conv1(x), 2))
x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2))
x = x.view(-1, 320)
x = F.relu(self.fc1(x))
x = F.dropout(x, training=self.training)
x = self.fc2(x)
return F.log_softmax(x, dim=1)
# MNIST Test dataset and dataloader declaration
test_loader = torch.utils.data.DataLoader(
datasets.MNIST('../data', train=False, download=True, transform=transforms.Compose([
transforms.ToTensor(),
])),
batch_size=1, shuffle=True)
# Define what device we are using
print("CUDA Available: ",torch.cuda.is_available())
device = torch.device("cuda" if (use_cuda and torch.cuda.is_available()) else "cpu")
# Initialize the network
model = Net().to(device)
# Load the pretrained model
model.load_state_dict(torch.load(pretrained_model, map_location='cpu'))
# Set the model in evaluation mode. In this case this is for the Dropout layers
model.eval()
Out:
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ../data/MNIST/raw/train-images-idx3-ubyte.gz
Extracting ../data/MNIST/raw/train-images-idx3-ubyte.gz to ../data/MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ../data/MNIST/raw/train-labels-idx1-ubyte.gz
Extracting ../data/MNIST/raw/train-labels-idx1-ubyte.gz to ../data/MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ../data/MNIST/raw/t10k-images-idx3-ubyte.gz
Extracting ../data/MNIST/raw/t10k-images-idx3-ubyte.gz to ../data/MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ../data/MNIST/raw/t10k-labels-idx1-ubyte.gz
Extracting ../data/MNIST/raw/t10k-labels-idx1-ubyte.gz to ../data/MNIST/raw
Processing...
Done!
CUDA Available: True
FGSM Attack¶
Now, we can define the function that creates the adversarial examples by
perturbing the original inputs. The fgsm_attack
function takes three
inputs, image is the original clean image (\(x\)), epsilon is
the pixel-wise perturbation amount (\(\epsilon\)), and data_grad
is gradient of the loss w.r.t the input image
(\(\nabla_{x} J(\mathbf{\theta}, \mathbf{x}, y)\)). The function
then creates perturbed image as
Finally, in order to maintain the original range of the data, the perturbed image is clipped to range \([0,1]\).
# FGSM attack code
def fgsm_attack(image, epsilon, data_grad):
# Collect the element-wise sign of the data gradient
sign_data_grad = data_grad.sign()
# Create the perturbed image by adjusting each pixel of the input image
perturbed_image = image + epsilon*sign_data_grad
# Adding clipping to maintain [0,1] range
perturbed_image = torch.clamp(perturbed_image, 0, 1)
# Return the perturbed image
return perturbed_image
Testing Function¶
Finally, the central result of this tutorial comes from the test
function. Each call to this test function performs a full test step on
the MNIST test set and reports a final accuracy. However, notice that
this function also takes an epsilon input. This is because the
test
function reports the accuracy of a model that is under attack
from an adversary with strength \(\epsilon\). More specifically, for
each sample in the test set, the function computes the gradient of the
loss w.r.t the input data (\(data\_grad\)), creates a perturbed
image with fgsm_attack
(\(perturbed\_data\)), then checks to see
if the perturbed example is adversarial. In addition to testing the
accuracy of the model, the function also saves and returns some
successful adversarial examples to be visualized later.
def test( model, device, test_loader, epsilon ):
# Accuracy counter
correct = 0
adv_examples = []
# Loop over all examples in test set
for data, target in test_loader:
# Send the data and label to the device
data, target = data.to(device), target.to(device)
# Set requires_grad attribute of tensor. Important for Attack
data.requires_grad = True
# Forward pass the data through the model
output = model(data)
init_pred = output.max(1, keepdim=True)[1] # get the index of the max log-probability
# If the initial prediction is wrong, dont bother attacking, just move on
if init_pred.item() != target.item():
continue
# Calculate the loss
loss = F.nll_loss(output, target)
# Zero all existing gradients
model.zero_grad()
# Calculate gradients of model in backward pass
loss.backward()
# Collect datagrad
data_grad = data.grad.data
# Call FGSM Attack
perturbed_data = fgsm_attack(data, epsilon, data_grad)
# Re-classify the perturbed image
output = model(perturbed_data)
# Check for success
final_pred = output.max(1, keepdim=True)[1] # get the index of the max log-probability
if final_pred.item() == target.item():
correct += 1
# Special case for saving 0 epsilon examples
if (epsilon == 0) and (len(adv_examples) < 5):
adv_ex = perturbed_data.squeeze().detach().cpu().numpy()
adv_examples.append( (init_pred.item(), final_pred.item(), adv_ex) )
else:
# Save some adv examples for visualization later
if len(adv_examples) < 5:
adv_ex = perturbed_data.squeeze().detach().cpu().numpy()
adv_examples.append( (init_pred.item(), final_pred.item(), adv_ex) )
# Calculate final accuracy for this epsilon
final_acc = correct/float(len(test_loader))
print("Epsilon: {}\tTest Accuracy = {} / {} = {}".format(epsilon, correct, len(test_loader), final_acc))
# Return the accuracy and an adversarial example
return final_acc, adv_examples
Run Attack¶
The last part of the implementation is to actually run the attack. Here, we run a full test step for each epsilon value in the epsilons input. For each epsilon we also save the final accuracy and some successful adversarial examples to be plotted in the coming sections. Notice how the printed accuracies decrease as the epsilon value increases. Also, note the \(\epsilon=0\) case represents the original test accuracy, with no attack.
accuracies = []
examples = []
# Run test for each epsilon
for eps in epsilons:
acc, ex = test(model, device, test_loader, eps)
accuracies.append(acc)
examples.append(ex)
Out:
Epsilon: 0 Test Accuracy = 9810 / 10000 = 0.981
Epsilon: 0.05 Test Accuracy = 9426 / 10000 = 0.9426
Epsilon: 0.1 Test Accuracy = 8510 / 10000 = 0.851
Epsilon: 0.15 Test Accuracy = 6826 / 10000 = 0.6826
Epsilon: 0.2 Test Accuracy = 4301 / 10000 = 0.4301
Epsilon: 0.25 Test Accuracy = 2082 / 10000 = 0.2082
Epsilon: 0.3 Test Accuracy = 869 / 10000 = 0.0869
Results¶
Accuracy vs Epsilon¶
The first result is the accuracy versus epsilon plot. As alluded to earlier, as epsilon increases we expect the test accuracy to decrease. This is because larger epsilons mean we take a larger step in the direction that will maximize the loss. Notice the trend in the curve is not linear even though the epsilon values are linearly spaced. For example, the accuracy at \(\epsilon=0.05\) is only about 4% lower than \(\epsilon=0\), but the accuracy at \(\epsilon=0.2\) is 25% lower than \(\epsilon=0.15\). Also, notice the accuracy of the model hits random accuracy for a 10-class classifier between \(\epsilon=0.25\) and \(\epsilon=0.3\).
plt.figure(figsize=(5,5))
plt.plot(epsilons, accuracies, "*-")
plt.yticks(np.arange(0, 1.1, step=0.1))
plt.xticks(np.arange(0, .35, step=0.05))
plt.title("Accuracy vs Epsilon")
plt.xlabel("Epsilon")
plt.ylabel("Accuracy")
plt.show()
Sample Adversarial Examples¶
Remember the idea of no free lunch? In this case, as epsilon increases the test accuracy decreases BUT the perturbations become more easily perceptible. In reality, there is a tradeoff between accuracy degredation and perceptibility that an attacker must consider. Here, we show some examples of successful adversarial examples at each epsilon value. Each row of the plot shows a different epsilon value. The first row is the \(\epsilon=0\) examples which represent the original “clean” images with no perturbation. The title of each image shows the “original classification -> adversarial classification.” Notice, the perturbations start to become evident at \(\epsilon=0.15\) and are quite evident at \(\epsilon=0.3\). However, in all cases humans are still capable of identifying the correct class despite the added noise.
# Plot several examples of adversarial samples at each epsilon
cnt = 0
plt.figure(figsize=(8,10))
for i in range(len(epsilons)):
for j in range(len(examples[i])):
cnt += 1
plt.subplot(len(epsilons),len(examples[0]),cnt)
plt.xticks([], [])
plt.yticks([], [])
if j == 0:
plt.ylabel("Eps: {}".format(epsilons[i]), fontsize=14)
orig,adv,ex = examples[i][j]
plt.title("{} -> {}".format(orig, adv))
plt.imshow(ex, cmap="gray")
plt.tight_layout()
plt.show()
Where to go next?¶
Hopefully this tutorial gives some insight into the topic of adversarial machine learning. There are many potential directions to go from here. This attack represents the very beginning of adversarial attack research and since there have been many subsequent ideas for how to attack and defend ML models from an adversary. In fact, at NIPS 2017 there was an adversarial attack and defense competition and many of the methods used in the competition are described in this paper: Adversarial Attacks and Defences Competition. The work on defense also leads into the idea of making machine learning models more robust in general, to both naturally perturbed and adversarially crafted inputs.
Another direction to go is adversarial attacks and defense in different domains. Adversarial research is not limited to the image domain, check out this attack on speech-to-text models. But perhaps the best way to learn more about adversarial machine learning is to get your hands dirty. Try to implement a different attack from the NIPS 2017 competition, and see how it differs from FGSM. Then, try to defend the model from your own attacks.
Total running time of the script: ( 4 minutes 50.389 seconds)


Israel’s Netanyahu Charged in Corruption Cases
by ASSOCIATED PRESSJERUSALEM (AP) — Israel’s attorney general on Thursday formally charged Prime Minister Benjamin Netanyahu in a series of corruption cases, throwing the country’s paralyzed political system into further disarray and threatening the long-time leader’s grip on power.
Attorney General Avichai Mandelblit charged Netanyahu with fraud, breach of trust and accepting bribes in three different scandals. It is the first time a sitting Israeli prime minister has been charged with a crime. Mandelblit was set to issue a formal statement later Thursday.
Allegations against Netanyahu include suspicions he accepted hundreds of thousands of dollars of champagne and cigars from billionaire friends, offered to trade favors with a newspaper publisher and used his influence to help a wealthy telecom magnate in exchange for favorable coverage on a popular news site.
The indictment does not require Netanyahu to resign but is expected to raise pressure on him to step down.
Netanyahu has called the allegations part of a witch hunt, lashing out against the media, police, prosecutors and the justice system.
Netanyahu was scheduled to issue a statement later Thursday.
By ARON HELLER and JOSEF FEDERMAN Associated Press
Copyright © 2019 courthousenews.com


Oil Gas Mining Change Log
Back to the app
Open Issues
2.3.0 Jan 16, 2017
- Added "Simplified BH Path" layer (#3).
2.2.0 Nov 15, 2016
- Switch out AGRC logo for DOGM logo
2.1.0 Sept 1, 2016
2.0.1 March 24, 2016
- Fixed bug in TRS search.
- Major technical debt payment including upgrading of all front end api's.
2.0.0 September 9, 2013
- Upgraded to new boilerplate.
- Upgraded to 3.6 ESRI JSAPI.
- Made menu buttons look more 'clickable' as requested by James Wingate.
- Added zoom to well by name menu and dialog.
- Fixed bug that was preventing zooming to fields with names with the ['] character in them.


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.bindingtariffadminfrontend.config.AppConfig @import uk.gov.hmrc.bindingtariffadminfrontend.controllers.routes @import uk.gov.hmrc.bindingtariffadminfrontend.model.{AuthenticatedRequest, MonitorStatistics} @import uk.gov.hmrc.bindingtariffadminfrontend.model.classification.ApplicationType @import uk.gov.hmrc.bindingtariffadminfrontend.views.html.components.{error_summary, input_file, submit_button} @import uk.gov.hmrc.bindingtariffadminfrontend.views.html.main_template @import uk.gov.hmrc.play.views.html.helpers @(monitorStatistics: MonitorStatistics)(implicit request: AuthenticatedRequest[_], messages: Messages, appConfig: AppConfig) @main_template(title = "Binding Tariff Admin", bodyClasses = None) { Back to Index


As we establish requirements, they should be recorded in some way for future reference, usually called a requirement specification. Furthermore, it is advisable to show these requirements to stakeholders, and refine requirements based on their feedback. The next phase is to convert requirements into a product specification that specifies how the product will address the requirements.
Given next are some tools and techniques that can be used to specify requirements. Note that they can also be used for establishing requirements too.
This is the most straight forward way of describing requirements. A textual description can be used to give a quick overview of the domain/system that is understandable to both the users and the development team. Textual descriptions are especially useful when describing the vision of a product. However, lengthy textual descriptions are hard to follow.
It is a list of features (or functionalities) grouped according to some criteria such as priority (e.g. must-have, nice-to-have, etc. ), order of delivery, object or process related (e.g. order-related, invoice-related, etc.). Here is a sample feature list from Minesweeper (only a brief description has been provided to save space).


sphinx.ext.doctest
– Test snippets in the documentation¶
This extension allows you to test snippets in the documentation in a natural way. It works by collecting specially-marked up code blocks and running them as doctest tests.
Within one document, test code is partitioned in groups, where each group consists of:
- zero or more setup code blocks (e.g. importing the module to test)
- one or more test blocks
When building the docs with the doctest
builder, groups are collected for
each document and run one after the other, first executing setup code blocks,
then the test blocks in the order they appear in the file.
There are two kinds of test blocks:
- doctest-style blocks mimic interactive sessions by interleaving Python code (including the interpreter prompt) and output.
- code-output-style blocks consist of an ordinary piece of Python code, and optionally, a piece of output for that code.
Directives¶
The group argument below is interpreted as follows: if it is empty, the block
is assigned to the group named default
. If it is *
, the block is
assigned to all groups (including the default
group). Otherwise, it must be
a comma-separated list of group names.
-
.. testsetup::
[group]
¶ A setup code block. This code is not shown in the output for other builders, but executed before the doctests of the group(s) it belongs to.
-
.. testcleanup::
[group]
¶ A cleanup code block. This code is not shown in the output for other builders, but executed after the doctests of the group(s) it belongs to.
New in version 1.1.
-
.. doctest::
[group]
¶ A doctest-style code block. You can use standard
doctest
flags for controlling how actual output is compared with what you give as output. The default set of flags is specified by the :confval:`doctest_default_flags` configuration variable.This directive supports three options:
hide
, a flag option, hides the doctest block in other builders. By default it is shown as a highlighted doctest block.options
, a string option, can be used to give a comma-separated list of doctest flags that apply to each example in the tests. (You still can give explicit flags per example, with doctest comments, but they will show up in other builders too.)pyversion
, a string option, can be used to specify the required Python version for the example to be tested. For instance, in the following case the example will be tested only for Python versions greather than 3.3:.. doctest:: :pyversion: > 3.3
The supported operands are
<
,<=
,==
,>=
,>
, and comparison is performed by distutils.version.LooseVersion.New in version 1.6.
Note that like with standard doctests, you have to use
<BLANKLINE>
to signal a blank line in the expected output. The<BLANKLINE>
is removed when building presentation output (HTML, LaTeX etc.).Also, you can give inline doctest options, like in doctest:
>>> datetime.date.now() # doctest: +SKIP datetime.date(2008, 1, 1)
They will be respected when the test is run, but stripped from presentation output.
-
.. testcode::
[group]
¶ A code block for a code-output-style test.
This directive supports one option:
hide
, a flag option, hides the code block in other builders. By default it is shown as a highlighted code block.
Note
Code in a
testcode
block is always executed all at once, no matter how many statements it contains. Therefore, output will not be generated for bare expressions – useprint
. Example:.. testcode:: 1+1 # this will give no output! print 2+2 # this will give output .. testoutput:: 4
Also, please be aware that since the doctest module does not support mixing regular output and an exception message in the same snippet, this applies to testcode/testoutput as well.
-
.. testoutput::
[group]
¶ The corresponding output, or the exception message, for the last
testcode
block.This directive supports two options:
hide
, a flag option, hides the output block in other builders. By default it is shown as a literal block without highlighting.options
, a string option, can be used to give doctest flags (comma-separated) just like in normal doctest blocks.
Example:
.. testcode:: print 'Output text.' .. testoutput:: :hide: :options: -ELLIPSIS, +NORMALIZE_WHITESPACE Output text.
The following is an example for the usage of the directives. The test via
doctest
and the test via testcode
and
testoutput
are equivalent.
The parrot module
=================
.. testsetup:: *
import parrot
The parrot module is a module about parrots.
Doctest example:
.. doctest::
>>> parrot.voom(3000)
This parrot wouldn't voom if you put 3000 volts through it!
Test-Output example:
.. testcode::
parrot.voom(3000)
This would output:
.. testoutput::
This parrot wouldn't voom if you put 3000 volts through it!
Configuration¶
The doctest extension uses the following configuration values:


Marques A. Ivey
Democrat
Self-employed attorney representing indigent clients.
University of Tulsa, College of Law - Juris Doctorate, 5/2002; Indiana University, Bloomington - BA in Criminal Justice, Minor in History, 6/1999.
80018
I am a Democrat, I have volunteered to make calls, send text messages, and knock doors. I have donated to school board campaigns, Debbie Gerkin, Kevin Cox, and Kyla Armstrong-Romero in 2017. I have donated to the 18th Judicial District DA race in 2020.
Colorado Municipal Judges Association Sam Cary Bar Association Colorado Bar Association Colorado Hispanic Bar Association Life Member, Board of Directors, Colorado Criminal Defense Bar National Parent Teacher Association Foundation Trustee, 2019 to present CUBE (Council on Urban Boards of Education), Committee Member, 2019 to present Council of the Great City Schools, Board of Director, 2017 to present Past Chair• City of Aurora Citizen’s Advisory Committee, Housing and Development, 2009 to 2017 Chair • Minoru Yasui Community Volunteer Award Committee, 2012 to 2017 Joint Steering Committee • Aurora Public Schools, 2016 to 2017 Life Member, Board of Directors • National Parent Teacher Association, 2012 to 2018 Board Member • Colorado Juvenile Defender Coalition, 2014 to 2016 Former Chair of the Bylaws and Policy Committee • National Parent Teacher Association, 2014 to 2015 Former Chair of the Membership Committee • National Parent Teacher Association, 2012 to 2013 Life Member, Board of Directors • Colorado Parent Teacher Association, 2009 to 2013 Board of Directors• Colorado Lawyers for the Arts, 2007 to 2009 Vice Chair of Diversity Committee • American Bar Association, 2006 to 2007
I strive to follow Dr. King Jr.’s quote that hangs on my wall, “Life’s Most Persistent and Urgent Question is, ‘What are you doing for Others’”. Because of my extensive work within the 18th Judicial District I have taken the non-traditional route for community service and chose interest outside of law, such as education (Aurora Public School Board, National Parent-Teacher Association), community service (Aurora Committee on Housing and Development), community informing (Attorneys and Educators for Racial and Social Justice, DBT Network and I am the Defendant Podcast). What I do for others is what I do for the community of the 18th. My law practice revolves around informing my clients and the community on what is going on with in the court system and my community. I stay involved because as someone whose interest revolves around education, I believe education is truly the way out of most any situation.
This gives some one like me, a “regular person” the opportunity to help create fair maps. In other words, we the people and not your regular politicians get to create maps and choice our representatives.
One of the critical skills one must have as an attorney is to often get to a consensus. Whether that is representing a large corporation or an individual. Often time the majority of case matters get resolved because both sides understand that you in order to move forward both sides may have to give up something. I am comfortable working in those situations because I believe that there is always middle ground to be found. Further, I have the privilege of serving as a part time municipal judge for a couple of jurisdictions. I have to be impartial and give both sides an opportunity to present. I am confident that I can do that.
As a judge, I must us logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Further, I have to give my full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times. I bring a background of identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. I believe this is what will be required to be successful in this position.
Male


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This is my website.
A place to share posts on things I find interesting.
A home to host applications I've built in Python.
A library to store open source programming notes.
I am passionate about
trading and financial markets.
technology and innovation.
coding and building apps.
Contact me at cameronmclean.uk@gmail.com


THE MEXICAN A film review by Steve Rhodes Copyright 2001 Steve Rhodes RATING (0 TO ****): ***
In Gore Verbinski's THE MEXICAN, Brad Pitt, as major screwup Jerry Welbachan, has been sent on assignment to Mexico to bring back an ancient pistol called The Mexican. A would-be ex-criminal, who was supposed to have already done his last job, he's forced to do one more since he botched what should have been his last.
In order to make sure that nothing "funky" happens, Jerry's employer hires a baby sitter for his girlfriend, Samantha 'Sam' Barzel (Julia Roberts). A psychotic hired killer named Leroy (James Gandolfini) accompanies Sam on her preplanned trip to Vegas. Along the way, Sam, who talks like a new age relationships author, complains about Jerry, with whom she had broken up just before being kidnapped by Leroy. As she gets to know Leroy better, she shifts her pop psychological analysis from Jerry to Leroy, telling him, "I'm sensing that you have trust issues," after he is reluctant to let her go to the bathroom alone. Not surprisingly, Leroy turns out to have a sensitive side, which Sam loves nurturing.
Meanwhile, down in Mexico, Jerry is having a hellacious time as he tools around in his rented El Camino pickup -- he's asked the rental car agency for something more Mexican than the Chrysler that he was supposed to get. He is shot at, thrown in jail, ... you name it. Accompanying him on his travails is a mangy mutt that is part loyal dog and part Cujo.
Perhaps the best part of this quirky tale is the old, sepia-tone, speeded-up footage showing us the history behind the gun. The elaborately crafted gun was made long ago for the hand of a nobleman. We learn not one version of his legendary story but many. Jerry, however, doesn't have time to appreciate the weapon's background. He's way too busy trying to stay alive. The actors, on the other hand, all appear to be having a great time. And if you were worried, as I was, that the director wouldn't be able to make the transition from his first film, MOUSE HUNT, a dark kids' comedy, to a second one aimed squarely at a more adult audience, don't. This film is much better than MOUSE HUNT. And, let's face it, THE MEXICAN is an explosive movie -- exploding with star power. Pitt, Roberts and Gandolfini prove to be a thoroughly enjoyable, crowd pleasing combination.
THE MEXICAN runs 2:03. It is rated R for violence and language and would be acceptable for most teenagers.
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