Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
MEAGAN HALL
08.24.17
The beginning of the semester may not seem academically stressful, but before you know it, the work will pile on. Don’t let yourself get behind. There are plenty of resources available — both on campus and on the internet — that can help you stay on top of your studies.
The Academic Advancement Center is an on-campus resource with drop-in hours or times available by appointment for the Student Writing Center. The Student Writing Center can help with papers, whether it’s through brainstorming sessions or editing. Also, for students studying with particular classes, Tutoring Services can offer some guidance. Again, you can schedule an appointment or drop-in.
OU has a plethora of academics-based student groups in which you can immerse yourself in your field of interest with thoughtful discussions and other educational experiences outside the classroom. Furthermore, they connect people from a particular area of study who might be able to offer insight on professors, classes and assignments.
You don’t always have to physically go to the library to use its resources. Alden’s website has tons of them. You can search for journal articles, news clips, multimedia and reports. You can also look for accessible databases by your subject of interest. And because you go to OU, you have access to resources like LexisNexis Academic and JSTOR.
Quizlet is a lifesaver for many college students needing to memorize a lot of information for an exam. But the best part is the social aspect of it. Sometimes, people will make a set of flashcards and share them on the website for everyone to use. Make sure you do a quick search to see if the flashcards you need already exist before you get down to the business of making your own cards.
Get rid of the headaches that come with organizing and citing your sources. Mendeley is a free software application that allows you to either manually input source information or upload PDFs so it can automatically pull that information out for you. You can also view and annotate those PDFs in the application. Just download the software straight from its website, and you’ll be ready to tackle any paper that comes your way.
If you feel as if you need a little something extra to understand a topic you’re studying, you might just find something on Open Culture. The website aggregates free courses offered by colleges and organizes them by subject. Some of the schools even post the course materials with the lectures. Want to better understand what you’re studying in your philosophy class? Open Culture can direct you to seven different courses on Kant and three different courses on Marxism. The website also offers 200 free textbooks and 800 free e-books.
Landing Page
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.


This code example extends the trigonometric functions of math.js with configurable angles: degrees, radians, or gradians.


Since our inception in 2000, it’s been our goal to make IT better and easier for our clients. With innovative system designs, highly experienced specialists, and a commitment to customer success, L3 Networks creates tailored IT solutions that allow companies to operate at their fullest potential in the new era of cloud computing.
Being passionate about what we do lets us engage with our clients in a unique way. We take the often complex and impersonal nature of information technology and deliver benefits in a tangible and personal way.
Using a direct business oriented approach to delivering high-end, mission critical services and future-facing technology solutions, we serve our clients’ best interest as a trusted partner that is culturally in tune with today’s marketplace. These efforts save time, lower costs, and simplify operations. When businesses partner with L3 Networks, they gain a trusted team with global reach, dedicated to helping enterprises perform at their highest level and succeed.
Have a question?
Need more information?
Corporate Office
L3 Networks, Inc.
17777 Center Court Dr. #715
Cerritos, CA. 90703
888-282-5353 - Main
888-282-5350 - Fax
Email: info@l3networks.com


Syrinscall
Update
Current music will go here
Mood Elements will go here
One Shots
Canyon Charger
Canyon Charge
Pew!
Lightsaber ON


My Personal Site
Welcome to My Site, You can dowload my CV
Here
Home
Works
Experience
Tech's
Contact
Linked-In
Facebook
Git Hub
Stack-Overflow
© 2017SumanMR
Home
Works
Experience
Tech's
Contact
follow @SumanMR
{% for (var chunk in o.htmlWebpackPlugin.files) { %} {% } %}


Default
Label text
This describes the purpose of this field.
Read-only
Label text
Alternative
Label text
This describes the purpose of this field.
Alternative Read-only
Label text
Invalid
Label text
This field is invalid!


--- layout: post title: And you wonder why I haven’t got my next contract yet… date: '2008-12-02T14:28:00.001Z' tags: modified_time: '2008-12-02T14:28:07.036Z' blogger_id: tag:blogger.com,1999:blog-4015568221071268916.post-1876151596516867699 comments: true blogger_orig_url: http://serialseb.blogspot.com/2008/12/and-you-wonder-why-i-havent-got-my-next.html ---
Received yesterday.
A key aspect of the job would be your ability with using multiple SQL server data-sources within one application, calling from one or more data-sources, manipulating the data and inserting into another.
So apparently people still do horrible things like that. Makes me break in cold sweat.


The iteration/local.h
header defines the interface to the local-iteration mechanism.
#include <chaos/preprocessor/iteration/local.h>
The CHAOS_PP_LOCAL_LIMITS
macro is a user-defined named external argument that specifies the lower and upper bounds of a local-iteration.
#define CHAOS_PP_LOCAL_LIMITS
(lower, upper)
The lower bound of the local-iteration.
Valid values range from 0
to CHAOS_PP_LIMIT_ITERATION
.
The upper bound of the local-iteration.
Valid values range from 0
to CHAOS_PP_LIMIT_ITERATION
.
This macro is defined by the user to specify the boundaries of a local-iteration. It is automatically undefined by the library.
Both lower and upper parameters are fully evaluated. This implies that they may contain arithmetic, logical, and bitwise expressions.
#define CHAOS_PP_LOCAL_LIMITS
(S, S + 10)
Note that if upper is less than lower, the local-iteration mechanism will iterate in reverse.
The CHAOS_PP_LOCAL_MACRO
macro is a user-defined named external argument that specifies the iterated macro of a local-iteration.
#define CHAOS_PP_LOCAL_MACRO
(n) rep
The current iteration value.
The replacement list to be repeated.
This macro is defined by the user to specify the iterated macro of a local-iteration. It is automatically undefined by the library.
This macro is repeatedly invoked by the local-iteration mechanism with values in the range specified by CHAOS_PP_LOCAL_LIMITS
.
The CHAOS_PP_LOCAL_ITERATE
macro is used to initiate a local-iteration.
??=include CHAOS_PP_LOCAL_ITERATE
()
Both the CHAOS_PP_LOCAL_LIMITS
macro and the CHAOS_PP_LOCAL_MACRO
macro must be defined prior to initiating a local-iteration.
#include <iostream> #include<chaos/preprocessor/facilities/identity.h>
#include<chaos/preprocessor/facilities/intercept.h>
#include<chaos/preprocessor/iteration/local.h>
#include<chaos/preprocessor/repetition/enum_params.h>
template<class> char arity(void); #define ARITY(id) (sizeof(arity<id>()) - 1) #defineCHAOS_PP_LOCAL_LIMITS
(0, 5) #defineCHAOS_PP_LOCAL_MACRO
(n) \ template< \ template< \CHAOS_PP_ENUM_PARAMS
(n, classCHAOS_PP_INTERCEPT
) \ > class \ > char (& arity(void))[n + 1]; \ /**/ ??=includeCHAOS_PP_LOCAL_ITERATE
() class X { }; template<class> class Y { }; template<class, class> class Z { }; int main(int argc, char* argv[]) { std::cout << ARITY(X) << ' ' << ARITY(Y) << ' ' << ARITY(Z) << '\n'; return 0; }
The CHAOS_PP_LOCAL_ITERATE_ID
macro indirectly expands to CHAOS_PP_LOCAL_ITERATE
.
CHAOS_PP_LOCAL_ITERATE_ID
()
This macro exists only for uniformity with other macros that require indirect invocation.
The CHAOS_PP_LOCAL_ITERATE_
macro expands to a λ expression representing CHAOS_PP_LOCAL_ITERATE
.
CHAOS_PP_LOCAL_ITERATE_
This macro is a shorthand form of the following λ binding:


PROJECT TIMELINE |
||||
|---|---|---|---|---|
| Umberto Di Fabrizio | Manuel Tanzi | Giacomo Scolari | Filippo Pellolio | |
| Week 10/28 | The Team meet to do requirement analysis, we created a mock interface using the whiteboard on the wall, to really see how the final product would look like, a screenshot of that is shown below | |||
| Week 11/04 | - I have collected data from Billboard and MusicGraph in order to get the information used in the explorative part of the application.
- I have created a measure to calculate the popularity of the various artists that is used to rank them in the various years. - I have extracted the top genres per decades using some heuristic made by me. |
- I have created the force graph, using the pictures get from Spotify to represent the artists.
- I have implemented the adding and removing of nodes for the force graph. - I have added a color system to indicate the player owner of the circle. |
- I have connected our application to Echonest and Spotify using the relative APIs.
- I have created a Data Manager that handles all of the data get from the API and transform them in a format useful for our application. - I have started to create the timeline chart. |
- I have created the entire layout of the application.
- I have handled the interactive part of the application, including the suggestion bar, the artists list with possibility of remove them, the change of the view and the "zoom" of the graphs. - I have created the map chart where the artists are plot in their living location. |


{% extends "page.html" %} {% block container %}
Username: (please use a valid email address)
Password:
Password (again):


- Front-end will send request to our API server
- API server contats our APP server (executes shell script to add new app)
- Shell script create new directory for app(It can be reached from SFTP using same login as for our web app).
- Shell script setups NGINX reverse proxy vhost.
- Shell script sends an request to Cloudflare API to add new domain to deployhandler.com DNS.
- If all things above were done without error, API server will add new MongoDB object to database.
Our API server is running on Ubuntu LTS headless server, it's written in pure JavaScript using NodeJS,Express.js and many other modules.
Complete documentation for API endpoints can be found
here
SFTP(Secure File Transfer Protocol) is like FTP but on steroids. It adds password encryption, can resume interrupted file transfers and other cool things.
NGINX Reverse proxy allows you to have your app running on port 80(443 will be supported in future) just like any web site, even tho it's actually running on some other port(like 3000).


It's not recommended to use layers in a full size slider because currently layers are not responsive in this case but as you can see, all the slide transitions are working perfectly in the background.
back to examples


How +2s happen.
Each file linked below displays a Sankey diagram of how a changes (returned by given gerrit query) got merged.
{% for f in files %}
- {{f.name}} modified {{f.ago}} {{f.size}}
{%- endfor %}
Author: Daniel Becker
Thanks to Mike Bostock, whose D3 Sankey plugin was used to help build this visualisation.
Generated: {{now}}


{% extends 'base_test.html' %}
Registration Date:{{ registration_date }}
Name: {{ farmer_name }}
Mobile Number: {{ mobile }}
Cattle Name: {{ cattle_name }}
Cattle type: {{ cattle_type_text }}
Age: {{ cattle_age | safe}}
Weight: {{ cattle_weight }}
Birth weight: {{calf_birth_weight }}
{% if breed_type %} Breed : {{breed_type}} {% endif %}
Clinical findings


Confidence Intervals
Remember from the previous section that 95% of all the possible sample means will be within 1.96 standard errors of the true population mean \(\mu\). Therefore:
There is a 95% probability that we will draw a sample mean within 1.96 standard errors of the true population mean.
Lets say I were to construct the following interval for every possible sample:
\[\bar{x}\pm1.96(\sigma/\sqrt{n})\]
t follows from the probability statement above that for 95% of all samples, this interval would contain the true population mean, \(\mu\).
To see how this works graphically, imagine constructing this interval for twenty different samples from the same population.
The blue line gives the true population mean. The dots represent the sample means for each of the twenty samples. You can see that these sample means fluctuate around the true population mean due to random sampling error. The lines give the interval outlined above. In 19 out of the 20 cases, this interval contains the true population mean (as you can see by the fact that the interval crosses the blue line). The one sample where this is not true is shown in red. On average, 95% of samples will contain the true population mean in the interval, so 5% or 1 in 20 will not.
We refer to this interval as the 95% confidence interval. Of course, in practice, we only construct one interval on the sample that we have. We use this interval to give a range of values that we feel “confident” will contain the true population mean.
What do we mean by “confident?”
The term “confident” is a little ambiguous. Given my statements above, it might be tempting to interpret the 95% confidence interval to mean that there is a 95% probability that the true population mean is within the interval. This interpretation seems intuitive and straightforward, but that interpretation is incorrect according to the classic approach to inference. The problem here is subtle, but from the classical viewpoint, probability is an objective phenomenon that relates to the outcomes of future processes over the long run. From this viewpoint, we cannot express our subjective uncertainties about numbers in terms of probabilities.The population mean is a single static number. This leads us to a sort of yoda-like statement: The population mean is either in your interval or it is not. There is no probability.
This is why we use a more neutral term like “confidence.” If we want to be long-winded about it, we might say that we are 95% confident because “in 95% of all the possible samples I could have drawn, the true population mean would be in the interval. I don’t know if I have one of those 95% or the unlucky 5%, but nonetheless, there it is.”
If this all seems a bit confusing, you are perfectly normal. As I said, this is the classic view of probability. Intuitively, people often think of uncertainty in probabilistic terms (e.g. what are the odds your team will win the game?). Many contemporary statisticians would in fact agree that it is perfectly okay to express subjective uncertainty as a probability. But, I still need to let you know that from the classic approach, interpreting your confidence interval as a probability statement is a no-no.
Calculating the confidence interval for the sample mean
Okay, lets try calculating a confidence interval. Lets try this out for age in the politics dataset. The formula is:
\[\bar{x}\pm1.96(\sigma/\sqrt{n})\]
Oh wait, we can’t do it! We don’t know the value of the population standard deviation \(\sigma\). As I explained in the last section, we are going to have to do a little “fudging” here. Instead of \(\sigma\), we can use our sample standard deviation \(s\). However, doing so will have consequences. Here is our new formula:
\[\bar{x} \pm t*(s\sqrt{n})\]
As you can see, I have replaced the 1.96 with some number \(t\), referred to as the t-statistic. Basically to adjust for the greater uncertainty in using a sample statistic in my calculation of the standard error, I need to increase the number here slightly from 1.96. How much I increase it will depend on the degrees of freedom which are given by the sample size minus one (\(n-1\)). To figure out the correct t-statistic, I can use the qt
command in R.
qt(0.975, nrow(politics)-1)
## [1] 1.960524
The first command to qt
is the confidence you want. This is a little bit tricky because for a 95% confidence interval, we actually want to input 0.975. This is because we are basically asking for only the upper tail of that normal distribution shown at the beginning of this section. This area contains only 2.5% of the area outside, with the other 2.5% being in the lower tail. The second number is the degrees of freedom which equals \(n-1\). In this case, we have such a large sample, that the t-statistic we need is very close to 1.96.
In smaller samples, using the t-statistic rather than 1.96 can make a bigger difference. Its not a proper sample, but lets take the case of the crime data. Here there are only 51 observations, so the t-statistic is:
qt(0.975, 51-1)
## [1] 2.008559
The difference from 1.96 is a little more noticeable.
Lets return to the politics data. We now have all the information we need to calculate the 95% confidence interval:
xbar <- mean(politics$age)
sdx <- sd(politics$age)
n <- nrow(politics)
se <- sdx/sqrt(n)
t <- qt(0.975,n-1)
xbar+t*se
## [1] 50.03165
xbar-t*se
## [1] 48.97307
We are 95% confident that the mean age among all US adults is between 49.01 and 49.87 years of age. As you can see, the large sample of nearly 6,000 respondents produces a very tight confidence interval.
Calculating the confidence interval for other sample statistics
As noted in the previous section, the sampling distribution of other sample statistics such as proportions, mean differences, and regression slopes is also normally distributed in large enough samples. This means that we can use the same approach to construct confidence intervals for other sample statistics. The general form of the confidence interval is:
\[(sample statistic) \pm t*(standard error)\]
In order to do this for any of the above sample statistics, we only need to know how to calculate that sample statistic’s standard error and the degrees of freedom used to look up the t-statistic for that sample statistic. Here is a useful cheat sheet of those formulas:
| Type | SE | df for \(t\) |
|---|---|---|
| Mean | \(s/\sqrt{n}\) | \(n-1\) |
| Proportion | \(\sqrt\frac{\hat{p}*(1-\hat{p})}{n}\) | \(n-1\) |
| Mean Difference | \(\sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}}\) | min(\(n_1-1\),\(n_2-1\)) |
| Proportion Difference | \(\sqrt{\frac{\hat{p}_1*(1-\hat{p}_1)}{n_1}+\frac{\hat{p}_2*(1-\hat{p}_2)}{n_2}}\) | min(\(n_1-1\),\(n_2-1\)) |
| Correlation Coefficient | \(\sqrt{\frac{1-r^2}{n-2}}\) | \(n-2\) |
I know some of that math might look intimidating but I will go through an example of each case below to show you how it works for each case.
Example with proportions
As an example, lets use the proportion of respondents who do not believe in anthropogenic climate change. In our politics sample, we get:
table(politics$globalwarm)
##
## No Yes
## 1180 3058
n <- 1181+3057
p_hat <- 1181/n
n
## [1] 4238
p_hat
## [1] 0.2786692
About 27.9% of the respondents in our sample are climate change deniers. What can we conclude about the proportion in the US population? First, lets figure out the t-statistic. We use the same \(n-1\) for degrees of freedom:
t_stat <- qt(0.975, n-1)
t_stat
## [1] 1.960524
Our sample is large enough that we are basically using 1.96. Now we need to calculate the standard error. The formula from above is:
\[\sqrt{\frac{\hat{p}*(1-\hat{p})}{n}}\]
The term \(hat{p}\) is the standard way to represent the sample proportion, which in this case is 0.279. So, our formula is:
\[\sqrt{\frac{0.279*(1-0.279)}{4238}}\]
We can calculate this in R:
se <- sqrt(p_hat*(1-p_hat)/n)
se
## [1] 0.006887018
We now have all the pieces to construct the confidence interval:
p_hat+t_stat*se
## [1] 0.2921713
p_hat-t_stat*se
## [1] 0.265167
We are 95% confident that the true percentage of climate change deniers in the the US population is between 26.5% and 29.2%.
Example with mean differences
using our Add health data, what is the mean difference in popularity (number of friend nominations) between frequent smokers and those who do not smoke frequently?
tab <- tapply(addhealth$indegree, addhealth$smoker, mean)
tab
## Non-smoker Smoker
## 4.514471 4.772382
mean_diff <- 4.782148 - 4.509636
mean_diff
## [1] 0.272512
In our sample data, frequent smokers had 0.273 more friends on average than those who did not smoke frequently. What is the confidence interval for that value in the population? We start by calculating the t-statitic for this confidence interval. We use the size of the smaller group minus one for the degrees of freedom.
table(addhealth$smoker)
##
## Non-smoker Smoker
## 3697 659
n1 <- 3736
n2 <- 661
t_stat <- qt(.975, n2-1)
t_stat
## [1] 1.963565
The value is pretty close to 1.96 but a little bigger. Now we need to calculate the standard error. The formula is:
\[\sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}}\]
We already have \(n_1\) and \(n_2\), so we just need to get the standard deviation of friend nominations for the two groups to get \(s_1\) and \(s_2\). We can do this with another tapply command, but changing from mean
to sd
in the third argument.
tapply(addhealth$indegree, addhealth$smoker, sd)
## Non-smoker Smoker
## 3.655093 3.865099
s1 <- 3.65865
s2 <- 3.869584
se <- sqrt(s1^2/n1+s2^2/n2)
se
## [1] 0.1619752
Now we have all the pieces to put together the confidence interval:
mean_diff - t_stat*se
## [1] -0.04553685
mean_diff + t_stat*se
## [1] 0.5905609
We are 95% confident that in the population of US adolescents, those who smoke frequently have between 0.05 fewer to 0.59 more friend nominations, on average, than those who do not smoke frequently. Note that because our confidence interval contains both negative and positive value, we cannot be confident about whether smoking is truly associated with having more or less friends. The direction of the relationship between the two variables is uncertain.
Example with proportion differences
Lets continue to use the Add Health data. Do we observe a gender difference in smoking behavior in our sample?
prop.table(table(addhealth$smoker, addhealth$sex), 2)
##
## Female Male
## Non-smoker 0.8534031 0.8435078
## Smoker 0.1465969 0.1564922
p_hat_f <- 0.1456
p_hat_m <- 0.1555
p_hat_diff <- p_hat_m-p_hat_f
p_hat_diff
## [1] 0.0099
In our sample, about 14.6% of girls were frequent smokers and about 15.6% of boys were frequent smokers. The percentage of boys who smoke is about 1% higher than the percentage of girls. Do we think this moderate difference in the sample is true in the population?
Lets start again by calculating the appropriate t-statistic for our confidence interval. We use the same procedure as for mean differences above, choosing the size of the smaller group for the degrees of freedom. However, its important to note that our groups are now boys and girls, not smokers and non-smokers.
table(addhealth$sex)
##
## Female Male
## 2307 2090
n_f <- 2307
n_m <- 2090
t_stat <- qt(.975, n_m-1)
t_stat
## [1] 1.9611
Now we can calculate the standard error. The formula is:
\[\sqrt{\frac{\hat{p}_1*(1-\hat{p}_1)}{n_1}+\frac{\hat{p}_2*(1-\hat{p}_2)}{n_2}}\]
That looks like a lot, but we just have to focus on pluggin in the right values in R:
se <- sqrt((p_hat_f*(1-p_hat_f)/n_f)+(p_hat_m*(1-p_hat_m)/n_m))
se
## [1] 0.01080535
Now we have all the parts to calculate the confidence interval:
p_hat_diff - t_stat*se
## [1] -0.01129037
p_hat_diff + t_stat*se
## [1] 0.03109037
We are 95% confident that in the population of US adolescents, between 1.1% fewer to 3.1% more boys smoke frequently than girls. As above, because our confidence interval includes both negative and positive values, we are not very confident at all about whether boys or girls smoke more frequently.
Example with correlation coefficient
Lets stick with the Add Health data. What is the correlation between GPA and the number of friend nominations that a student receives?
r <- cor(addhealth$pseudoGPA, addhealth$indegree)
r
## [1] NA
In our sample, there is a moderately positive correlation between a student’s GPA and the number of friend nominations that a student receives. What is our confidence interval for the population?
For the t-statistic, we use \(n-2\) for the degrees of freedom:
n <- nrow(addhealth)
t_stat <- qt(.975, n-2)
For the standard error, the formula is:
\[\sqrt{\frac{1-r^2}{n-2}}\] This is straightforward to calculate in R:
se <- sqrt((1-r^2)/(n-2))
se
## [1] NA
Now we have all the parts we need to calculate the confidence interval:
r - t_stat*se
## [1] NA
r + t_stat*se
## [1] NA
We are 95% confident that the true correlation coefficient between GPA and friend nominations in the population of US adolescents is between 0.139 and 0.198. While there is some difference in the strength of that relationship, we are pretty confident that the correlation is moderatly positive.


ticketpy¶
Python wrapper/SDK for Ticketmaster’s Discovery API
More info: http://developer.ticketmaster.com/products-and-docs/apis/discovery-api/v2/
Requirements¶
- Python >= 3.5.2 (anything >= 3 is probably OK)
- Requests >= 2.13.0
Installation¶
To install via pip:
$ pip install ticketpy
Or, locally from the same directory as setup.py
:
$ python setup.py install
Example searches¶
Events¶
To pull all Hip-Hop events in Georgia between May 19th, 2017 and May 21st, 2017:
import ticketpy
tm_client = ticketpy.ApiClient('your_api_key')
pages = tm_client.events.find(
classification_name='Hip-Hop',
state_code='GA',
start_date_time='2017-05-19T20:00:00Z',
end_date_time='2017-05-21T20:00:00Z'
)
for page in pages:
for event in page:
print(event)
Output:
Event: Atlanta Funk Fest 2017 3 Day Ticket
Venue(s): 'Wolf Creek Amphitheater' at 3025 Merk Road in Atlanta GA
Start date: 2017-05-19
Start time: 19:00:00
Price ranges: 128.01-424.0
Status: onsale
Genres: R&B
Event: Atlanta Funk Fest 2017
Venue(s): 'Wolf Creek Amphitheater' at 3025 Merk Road in Atlanta GA
Start date: 2017-05-19
Start time: 19:00:00
Price ranges: 63.0-158.0
Status: onsale
Genres: R&B
Event: Atlanta Funk Fest 2017
Venue(s): 'Wolf Creek Amphitheater' at 3025 Merk Road in Atlanta GA
Start date: 2017-05-20
Start time: 17:00:00
Price ranges: 63.0-158.0
Status: onsale
Genres: Hip-Hop/Rap
Event: NF
Venue(s): 'Center Stage Theater' at 1374 W Peachtree St. NW in Atlanta GA
Start date: 2017-05-20
Start time: 20:00:00
Price ranges: 22.0-83.0
Status: onsale
Genres: Hip-Hop/Rap
Calling ApiClient.find()
returns a ticketpy.PagedResponse
object, which iterates through API response pages (as ticketpy.Page
).
By default, pages have 20 elements. If there are >20 total elements,
calling PagedResponse.next()
will request the next page from the API.
You can simplify that/do away with the nested loop by using
PagedResponse.limit()
. By default, this requests a maximum of 5 pages,
and returns the elements of each in a flat list.
Use PagedResponse.one()
to return just the list from the first page.
For example, the previous example could also be written as:
import ticketpy
tm_client = ticketpy.ApiClient('your_api_key')
pages = tm_client.events.find(
classification_name='Hip-Hop',
state_code='GA',
start_date_time='2017-05-19T20:00:00Z',
end_date_time='2017-05-21T20:00:00Z'
).limit()
for event in pages:
print(event)
The output here would be the same as there was <1 page available, however,
this can save you some wasted API calls for large result sets. If you
really want every page, though, use all()
to request every available
page.
Venues¶
To search for all venues based on the string “Tabernacle”:
import ticketpy
tm_client = ticketpy.ApiClient("your_api_key")
venues = tm_client.venues.find(keyword="Tabernacle").all()
for v in venues:
print("Name: {} / City: {}".format(v.name, v.city))
Output:
Name: Tabernacle / City: London
Name: The Tabernacle / City: Atlanta
Name: Tabernacle, Notting Hill / City: London
Name: Bethel Tabernacle / City: Penticton
Name: Revivaltime Tabernacle / City: Toronto
Name: Auckland Baptist Tabernacle / City: Auckland
Name: Pentecostal Tabernacle / City: Nashville
Name: The Tabernacle / City: Oak Bluffs
Name: Tabernacle, Shoreditch / City: London
Name: Revivaltime Tabernacle / City: Toronto
Name: Tabernacle, Notting Hill / City: London
Name: The Tabernacle / City: London
Name: Tabernacle Junction / City: Yeovil
Name: New Tabernacle 4th Baptist Church / City: Charleston
Attractions¶
Searching for attractions works similarly to the above:
import ticketpy
tm_client = ticketpy.ApiClient("your_api_key")
attractions = tm_client.attractions.find(keyword="Yankees").one()
for attr in attractions:
print(attr.name)
Output:
New York Yankees
Scranton Wilkes-Barre RailRiders
Staten Island Yankees
Yankee Stadium Tours
Tampa Yankees
New York Yankees Bomber Bucks
Hands On History At Yankee Stadium
Damn Yankees
Damn Yankees
Battle Creek Yankees
New York Yankees Parking
Offsite Parking at Yankee Stadium
Quikpark at Yankee Stadium- NYCFC
New York Yankees Fan Fest
New York Yankees 3 (Do Not Use)
New York Yankees 1 (Do Not Use)
New York Yankees 2 (Do Not Use)
Behind the Scenes At Yankee Stadium
Classifications¶
Searching for classifications works similarly to the above:
import ticketpy
tm_client = ticketpy.ApiClient("your_api_key")
classifications = tm_client.classifications.find(keyword="Drama").one()
for cl in classifications:
print("Segment: {}".format(cl.segment.name))
for genre in cl.segment.genres:
print("--Genre: {}".format(genre.name))
Output:
Segment: Film
--Genre: Drama
Segment: Arts & Theatre
--Genre: Theatre
Querying details for classifications by ID will return either a Segment
,
Genre
, or SubGenre
, whichever matches the given ID.
For example,
import ticketpy
tm_client = ticketpy.ApiClient("your_api_key")
x = tm_client.classifications.by_id('KZFzniwnSyZfZ7v7nJ')
y = tm_client.classifications.by_id('KnvZfZ7vAvE')
z = tm_client.classifications.by_id('KZazBEonSMnZfZ7vkdl')
s = "Name: {} / Type: {}"
print(s.format(x.name, type(x)))
print(s.format(y.name, type(y)))
print(s.format(z.name, type(z)))
Output:
Name: Music / Type: <class 'ticketpy.model.Segment'>
Name: Jazz / Type: <class 'ticketpy.model.Genre'>
Name: Bebop / Type: <class 'ticketpy.model.SubGenre'>


Keyboardist.js Demo
Instructions: Press the key or key combinations to activate the UI
press any key
Space
Up
Down
Left
right
Shift+Space
Esc
Here's the code for the demo
This demo was built with
Keyboardist
by
Armando Sosa


Send a canned SMS message to Rich
Send a custom SMS message to Rich
Call Rich
What is this?
This was a short little exercise I did for myself over a weekend to learn a bit
about the APIs and services provided by Bandwidth.. It
is just a simple SpringBoot app running in a Docker container on my Qnap NAS box at home.
The really simple source code and more details can be found here
on GitHub. You get more details about me on on LinkedIn.


T
- the concrete amount type.public interface MonetaryAmountFactoryProviderSpi<T extends MonetaryAmount>
MonetaryAmountsSingletonSpi
to evaluate the
correct MonetaryAmountFactory
instances.| Modifier and Type | Interface and Description |
|---|---|
static class |
MonetaryAmountFactoryProviderSpi.QueryInclusionPolicy
Determines how the factory should be considered when querying for matching implementation
types calling
Monetary.getAmountFactory(javax.money.MonetaryAmountFactoryQuery) . |
| Modifier and Type | Method and Description |
|---|---|
MonetaryAmountFactory<T> |
createMonetaryAmountFactory()
Access a
MonetaryAmountFactory given the required context. |
Class<T> |
getAmountType()
Get the concrete amount type created by
MonetaryAmountFactory instances provided. |
MonetaryContext |
getDefaultMonetaryContext()
Returns the default
MonetaryContext used, when no MonetaryContext is
provided. |
default MonetaryContext |
getMaximalMonetaryContext()
Returns the maximal
MonetaryContext supported, for requests that exceed these maximal
capabilities, an ArithmeticException must be thrown. |
default MonetaryAmountFactoryProviderSpi.QueryInclusionPolicy |
getQueryInclusionPolicy()
Method that determines if this factory should be considered for general evaluation of
matching
MonetaryAmount implementation types when calling
Monetary.getAmountFactory(javax.money.MonetaryAmountFactoryQuery) . |
default MonetaryAmountFactoryProviderSpi.QueryInclusionPolicy getQueryInclusionPolicy()
MonetaryAmount
implementation types when calling
Monetary.getAmountFactory(javax.money.MonetaryAmountFactoryQuery)
.true
to include this factory into the evaluation.Monetary.getAmountFactory(javax.money.MonetaryAmountFactoryQuery)
Class<T> getAmountType()
MonetaryAmountFactory
instances provided.MonetaryAmountFactory<T> createMonetaryAmountFactory()
MonetaryAmountFactory
given the required context.MonetaryAmountFactory
, or null
.MonetaryContext getDefaultMonetaryContext()
MonetaryContext
used, when no MonetaryContext
is
provided.
The default context is not allowed to exceed the capabilities of the maximal
MonetaryContext
supported.
MonetaryContext
, never null
.getMaximalMonetaryContext()
default MonetaryContext getMaximalMonetaryContext()
MonetaryContext
supported, for requests that exceed these maximal
capabilities, an ArithmeticException
must be thrown.MonetaryContext
supported, never null
Copyright © 2012–2016 JSR 354 - Expert Group. All rights reserved.


{{ error }}
{{ message }}
Resend activation email
The meditation we practice is based on the teachings found in this booklet.
Please let us know you are here by submitting your intended time spent walking and sitting.
If you have trouble logging in or experience other technical difficulties, please visit our troubleshooting page.


CDiaz HTML Notes
- tags - basic structure of HTML docs; tells browsers how to view
- HTML != bang - a note
- HTML = hypertext markup language
- CSS = cascading style sheets
- docty.HTML - flavor for the type of doc using
- attribues - extra bits of info
*anything after the "=" is an attribute
- div = divide (tag)
- id= identify (attribute of the tag)
- href = HTML reference
- string is a way of rendering text.
- string in every language denoted with ""
- single quotations primarily
- most languages won't have double quotations but some do. (EX. HTML)
- class - template
- local vs global classes
- global = able to be accessed everywhere (not always available within every file)
- a file containing the class would need to be imported
- works for JS, HTML, CSS
- RUBY, C and ... class would need to be it's own file
- RUBY class would have to start with "class" followed by class name
- class calendar==calendar.rb
- white space doesn't copy from one location
- unicode: random set of characters


Add .duallistbox-no-filter class without filter dual listbox.
Dual ListBox with multiple selection
Add .duallistbox-multi-selection class for Dual ListBox with Multiple Selection
Dual ListBox with Filter Options
Add .duallistbox-with-filter class for basic dual listbox.
Dual ListBox with Filter Text Options
All the listbox labels and placeholders are fully editable through specified options, Like: filterTextClear, filterPlaceHolder, infoText, infoTextFiltered, infoTextEmpty. You can use custom language also.
Dual ListBox with Minimal Height
Use selectorMinimalHeight setting option to set dual listbox custom height.
Add Custom Options to Dual ListBox
Add an option to the Listbox Using Add Options button. Add an option and also clearing highlights of listbox option using Add with clearing highlight button


---
sort_order: 205
tei_id: rdx_b5j2m.p.idm184988896
annotation_count: 0
images:
small-thumbnail: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7bcq/mini-thumbnail/
json: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7bcq/info/
full: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7bcq/fs/
page: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7bcq/single-page/
thumbnail: http://readux.library.emory.edu/books/emory:b5j2m/pages/emory:p7bcq/thumbnail/
title: Page 205
number: 205
---
{% raw %}MY FAMILY,{% endraw %}
{% raw %}201{% endraw %}
{% raw %}trustees, appointed by the Court of Chancery, had{% endraw %}
{% raw %}no power to refund him out of the estate. The{% endraw %}
{% raw %}proceeds of the sale of the Dawn property, nearly{% endraw %}
{% raw %}30,000 dollars, constitute the greater part of the{% endraw %}
{% raw %}endowment of the Wilberforce Educational Insti¬{% endraw %}
{% raw %}tute. You will be pleased to learn that this insti¬{% endraw %}
{% raw %}tute is now in active operation, and if only wisely{% endraw %}
{% raw %}managed in the future will be a great blessing, in{% endraw %}
{% raw %}an educational point of view, to the coloured people{% endraw %}
{% raw %}of Canada. A voyage to England is no light under¬{% endraw %}
{% raw %}taking for a man of Henson's extreme age, he being{% endraw %}
{% raw %}now eighty-seven. Though he is not by any means{% endraw %}
{% raw %}the man he was when in England twenty-five years{% endraw %}
{% raw %}ago, yet he still possesses extraordinary energy both{% endraw %}
{% raw %}of body and mind, and knowing, as I do, his circum¬{% endraw %}
{% raw %}stances, and the hardship of his case, I sincerely hope{% endraw %}
{% raw %}he may be successful."{% endraw %}
{% raw %}It may be well to add a few of many testimonials{% endraw %}
{% raw %}I received, when it was known I intended to visit{% endraw %}
{% raw %}England:—{% endraw %}
{% raw %}" We, the undersigned, beg to certify that we{% endraw %}
{% raw %}have known the Reverend Josiah Henson for a{% endraw %}
{% raw %}number of years; that he has resided, as we be¬{% endraw %}
{% raw %}lieve, in the County of Kent, Ontario, for the last{% endraw %}
{% raw %}forty-five years ; that he has ever borne the highest{% endraw %}
{% raw %}character in this community, and is worthy of the{% endraw %}
{% raw %}confidence of the public.—Wm. Bryant Wells, Judge{% endraw %}
{% raw %}C. C. Co. Kent, Ontario; John Mercer, Sheriff,{% endraw %}
{% raw %}Eent ; Wm. Douglas, Clerk of the Peace, Eent;{% endraw %}
{% raw %}H. Smythe, Mayor, Town of Chatham ; Francis W{% endraw %}
{% raw %}Sandys, A.M., Archdeacon of Eent, Ontario.—Chat-{% endraw %}
{% raw %}ham/25th April, 1876."{% endraw %}


Taos Air to start charter flights to Los Angeles, San Diego
TAOS, N.M. (AP) - Taos Air has announced it will begin direct charter flights from Taos to Los Angeles and San Diego area.
The company said this week it will start direct charter flight service to and from Hawthorne Municipal Airport in Los Angeles and McClellan-Palomar Airport in Carlsbad, California, beginning Jan. 9.
Taos Air says it will provide flights under two and a half hours one way at prices comparable to commercial services. That will make it easy for Southern Californians to experience northern New Mexico’s ski resorts.
The new winter California service is expected to run from Jan. 9 through March 29 and consist of one flight to and from each destination every Thursday, Saturday, and Sunday.
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


comments: the present volume along with Heath 1980a and 1982 contain substantially all I know about the language, in some cases presenting more complete or final analyses than those in earlier articles; these publications are also designed to supercede the earlier works by Hughes, a mission chaplain, except that Hughes text volumes TNT and MT remain valuable. The material in Hore's 1979 paper is covered in more detail in the present grammar; the analysis of length and stress in his 1981 paper is somewhat different from my own.
Aside from material which has now been published, my field materials which might conceivably be of some value include song texts (Nunggubuyu, Yuulngu including Ritharngu, a little Anindilyakwa, and some boomerang-clapstick singing from Mara and Warndarang); some Dhuwal and Dhay'yi (Yuulngu) texts, mostly secret/sacred but including some historical Dhay'yi texts; and elicited material, mostly flora/fauna terminology, for several languages including Yanyula (Anyuwa), Dhay'yi, and some Barkly languages.
Ethnographic materials on the Nunggubuyu and nearby people were discussed in NMET, pp. 10-12.
A catalogue of my tapes on Australian languages and songs is in pp. 376-82 of my Nunggubuyu Dictionary.


Pundit: Mauricio Pochettino would be better for Arsenal than Man United
Ally McCoist says Mauricio Pochettino should take charge of Arsenal rather than Man United
by The Sport Review staffMauricio Pochettino should manage Arsenal ahead of Manchester United, according to Ally McCoist.
The Argentine head coach is looking for new employers after Tottenham Hotspur surprisingly parted company with Pochettino last week.
The 47-year-old led Tottenham to four successive top-four finishes and a Champions League final during his five seasons in charge at the north London side.
However, Pochettino paid the price for a disappointing start to the Premier League season as Spurs appointed Jose Mourinho as his replacement.
Arsenal boss Unai Emery is coming under pressure following the Gunners’ five-game winless run in the Premier League, while Manchester United have been regularly linked with Pochettino since David Moyes’ axing in 2014.
Former Scotland striker McCoist explained why Pochettino should snub Manchester United in favour of taking over the reins at Arsenal if the opportunity arises.
Asked whether Pochettino would be better suited to Arsenal than Manchester United, McCoist told Sky Sports’ The Debate: “Yeah, I think so.
“I definitely think [a young team will be better for Pochettino]. If you’re asking me, I think he’d suit Arsenal’s squad more than he’d suit Manchester United’s squad.
“There are a group of players at Arsenal he could work with immediately. Manchester United is a far bigger job, by that I mean longer term, more of a rebuild.
“I think there are, at this moment in time, probably more players to work with at Arsenal. Manchester United fans might not agree with that.
“I do think Emery is vulnerable. I think he’s probably the most vulnerable [manager in the Premier League].”
Arsenal drew 2-2 with relegation candidates Southampton on Saturday after Alexandre Lacazette netted a late equaliser for the home side.
The Gunners are already nine points behind fourth-placed Chelsea FC in the race to secure a Champions League spot this term.
Emery took over the reins from Arsenal from Arsene Wenger in 2018 following his successful stint in charge of Paris Saint-Germain.
Arsenal haven’t won the Premier League title since 2004.


About
The voting-Review Application, is an application used for electrol
purposes and aslo to rate and review the leaders that have been
elected. The application helps in reducing the electrol process time,
which is viewed of being a tidious process. The application aims to
make the electrol process in Kenya transparent, accountable and easy.
-
Whatever voting method is used, the system is simple, accurate,
verifiable, secure, accountable and transparent;
-
The votes cast are counted, tabulated and the results are clear;
!!! TO VOTE CLICK THE BUTTON BELOW !!!
- Leaders should show and demostrate respect for the people.
- Bring honour to the nation and dignity to the office;
-
promotes public confidence in the integrity of the office;
!!! TO REVIEW CLICK THE BUTTON BELOW !!!


Reinitialisation¶
Starting from PyPDEVS 2.1.4, it is possible to run the simulate() method multiple times. If the reinit() method was called, the model will be restored to its initial state. This is done by completely saving the model in memory right before the actual simulation starts. Main problem with this approach is that it will require additional memory and for local simulation, it also increases the initialisation time as the copy will have to be made.
For these reasons, local simulation will have reinitialisation disabled by default and calling the reinit() method will result in a DEVSException stating this fact (and how to resolve it). Distributed simulation does not have this additional overhead and therefore it is always enabled.
So for remote simulation, it is as simple as:
sim = Simulator(DQueue())
sim.simulate() # Run it for the first time
sim.reinit() # Reinitialize
sim.simulate() # 'Continue' the simulation run (which was reset)
In local simulation, the option to allow reinitialisation needs to be set first, which simply gives:
sim = Simulator(CQueue())
sim.setAllowLocalReinit(True)
sim.simulate() # Run it for the first time
sim.reinit() # Reinitialize
sim.simulate() # 'Continue' the simulation run (which was reset)
Altering the model¶
Of course, simply rerunning the simulation is not really useful. Most of the time, reinitialisation is done to try the exact same simulation, but with a slightly different configuration. As long as the model structure is not altered, simply reinitializing is the best option. Note that these alterations should happen before the reinitialize call is made, as it implies network communication that is best done in a batch.
After a simulation run, the model will naturally still be in the post-simulation state and the model states will be the ones at the end of the simulation. Altering them has no effect on subsequent simulation runs, as the model will be reinitialised in a single step. Simply altering the model after a simulation run is not a viable option.
For these reasons, the only way to alter a model after simulation is through three methods of the Simulator object. These methods all serve a similar goal, though they are optimized for specific goals. They are:
- setModelState(model, newState): modify the state of model and set it to newState. Use this to set a completely new state for the model. This is an optimized version of setModelAttribute.
- setModelStateAttr(model, attr, value): modify the attribute attr of the state of model and set it to value. This will keep the original initialisation state, but alters only a single attribute.
- setModelAttribute(model, attr, value): modify the attribute attr of the model and set it to value. This can be done to modify read-only attributes of the simulation model.
For example, if you want to change the processing_time attribute of the queue, you can simply:
model = CQueue()
sim = Simulator(model)
sim.setAllowLocalReinit(True)
sim.simulate() # <-- Initial run with processing_time = 1.0
sim.reinit() # <-- Perform reinitialisation and perform all changes
sim.setModelAttribute(model.queue, "processing_time", 2.0) # <-- Set it to 2.0
sim.simulate() # <-- Now run with processing_time = 2.0
Warning
Altering the state should happen after reinitialisation, as otherwise your changes will be reverted too.


LOVE YOUR PLANTS
"To such an extent does nature delight and abound in variety that among her trees there is not one plant to be found which is exactly like another; and not only among the plants, but among the boughs, the leaves and the fruits, you will not find one which is exactly similar to another."
Leonardo da Vinci


Case summary
A default view of a case in a caseworking system.
{% include "includes/patterns/case-summary.html" %}
Why have we created this pattern?
There is currently no documentation for casework summaries.
Interaction principles
Content principles
User research
Pattern is missing
- Research


Author: @entee
Games
For playing Cards Against Humanity by text/whatsapp/email whatever. These Shortcuts generate images of Cards against humanity cards for you to deal out to people via text/what’s app.
There are 2 Shortcuts Prompt Cards & Response Cards, response Cards lets you generate more than 1 at a time so eg you can deal 5 to a person at the start of the game.
You are the dealer. Send everyone their response cards by separate message. Send the Prompt cards to a group message.
Shuffler to shuffle any lists of cards https://onlinerandomtools.com/shuffle-lines
List of prompts and responses you can addd. https://docs.google.com/spreadsheets/d/1lsy7lIwBe-DWOi2PALZPf5DgXHx9MEvKfRw1GaWQkzg/edit#gid=10
Css from code pen https://codepen.io/jefflombard/pen/GqBzxZ
Cards Against Humanity is available under a Creative Commons BY-NC-SA 2.0 license. That means you can use, remix, and share the game for free, but you can’t sell it without our permission. Please do not steal our name or we will smash you.


A great way to add depth and character to an alien race, especially antagonists, is to give them their own language, and have them use it often. Frequently, one phrase will be repeated over and over again by characters speaking this language, but for some reason, won't be translated for the viewer, leaving you to wonder exactly what this alien phrase means, and why they say it so often.
If a work goes on for long enough, expect that the meaning of the phrase will eventually be explained. This may be done to add yet more depth to aliens and their language, to get the fans to stop pestering everyone involved in the production with questions about what it means, or for the sake of a good joke (or a bad joke).
Inverse of You Are the Translated Foreign Word. Compare Reality Has No Subtitles, where foreign languages remain untranslated, usually because the point-of-view characters don't speak them. Compare Pardon My Klingon, when words or phrases aren't translated due to vulgarity.
Examples:
- During the 1980s, the Audi car marque ran a memetic series of TV and press adverts in the UK whose tagline was "Vorsprung durch Technik... as they say in Germany." The meaning was never explained in the adverts — it actually means "progress through technology", and had been used by the brand for much longer in Germany itself.
- The Transformers: The Movie: The universal greeting "Bah-weep-Graaaaagnah wheep ni ni bong", which was never given an English translation in the film.
- The Lord of the Rings: Gimli's recurring Khudzul Battle Cry Baruk Khazad! Khazad ai-enu! is translated in the appendices as "Axes of the Dwarves! The Dwarves are upon you!"
- In A Song of Ice and Fire, after Arya learns the Valyrian phrase Valar morghulis from an assassin, she adds it to her "prayer list" of people she intends to kill and says it when she kills a guard escaping from Harrenhal. It's not until she goes to Braavos that she learns that it means "All men must die."
- Star Trek Rihannsu: The Romulan word mnhei'sahe. It's variously translated as "luck," "love," and "The Ruling Passion," but none of these are entirely adequate. It's less a word than it is a name for the Romulans' Blue-and-Orange Morality, and if you were to truly understand it, you would truly understand the Rihannsu.
Ael: [to her crew on the intercom] Honor to you, and mnhei'sahe.
[Kirk looks confused]
Ael: I wished them luck.
Kirk: I thought that word meant "love."
Ael: What's the use in a word that can only mean one thing? Besides, in this context, they're close enough. - Abraham Setrakian from The Strain spouts a phrase (which is not printed) in his native Romanian before dispatching vampires. He later says it means "My sword sings of silver", but it sounds better in the old language. Eph later says it in English when he tries to kill The Master.
- The Thrawn Trilogy: Leia is the Mal'ary'ush. The Noghri who recognizes her as such immediately clarifies, saying that she is the daughter and heir of the Lord Darth Vader. Later it's clarified further to mean that she is heir to his authority and power. Supplemental material reveals that the word actually means "Heir of the Savior".
- Babylon 5: Comedy duo Rebo and Zooty, played by Penn & Teller, Zooty (Teller) only speaks through "his machine," which makes a variety of funny noises and voices, including his Catch Phrase, "Zooty, Zoot-Zoot!" It's never revealed to the audience what it means, if it means anything. Sheridan and Londo once have a long argument about whether or not it's even funny.
- Doctor Who: The Sontarans are prone to breaking out into chants of "Sontar ha!" Given an Ironic Echo at the climax of "The Poison Sky" when Rattigan shouts the phrase at them sarcastically before blowing them all up.
- One of Dan Aykroyd's recurring characters on Saturday Night Live is the alien Beldar. He and his mate, Prymaat, tend to intone, "Mebs, mebs, mebs," repeatedly went frustrated or stymied. It's never been detailed in-universe what this expletive means.
- Stargate SG-1: "Jaffa, kree!" or just "Kree!" "Jaffa" is the name of the Goa'uld's servitor race, so that part makes sense, shouting "Jaffa" to get the attention of all Jaffa in the vicinity. But "kree" remained unknown until season three.

Daniel: Uhhh... actually it means a lot of things... listen up, pay attention, concentrate.
O'Neill: [incredulously] Yoo-hoo? - The Strain example listed under Literature carries over into The Strain (TV series), only it's actually said.
- Warhammer 40,000:
- The Space Wolves have "Fenrys Hjolda!", variously translated as "Fenris Holds Out" or "Fenris Endures".
- Averted with the orks, since most of their language is corrupted Gothic (the stand-in for English), so "WAAAAAAAGGGGHHHH!!!!!" is easily recognizable as a longer and louder word for "war".
- The Shroobs from Mario & Luigi: Partners in Time have a single two word phrase in their language that they constantly repeat over the course of the game. It's only at the very end that we finally get a translation: "DESTROY!"
- Mass Effect: The Quarians and "Keelah se'lai" (or just "keelah"). It's explained in one resolution of Mass Effect 3 to mean "By the homeworld I hope to one day see", and is used in many of the same contexts as "oh my god".
- Starcraft series: the Protoss have the Khalani language, and the two phrases which have the most uses are "En Taro Adun/Tassadar/Zeratul/Artanis" and "Adun Toridas". The phrase basically means "In [name's] name," Adun is a historical messiah figure to the dark templar for preventing their genocide by the Conclave. Adun Toridas means something like "Adun hide you", and is a specifically dark templar term referencing how Adun prevented their genocide (En Taro Adun is used by both templar and dark templar, due to having ended up a hero to both groups).
- Warcraft III: The orcs get "Lok-tar ogar!" (Victory or death!).
- In Acquisitions Incorporated, Aeofel's Oath of Vengeance is spoken in a fictional language invented by his player Wil Wheaton on the fly during his first session with the party. In later episodes, it becomes one of his catch-phrases, usually reserved for combat, meaning that it's spoken at least once every session, — but we never actually learn what it means.
- Rickand Morty: Rick's exclamation of "Wubba lubba dub dub!" is initially believed to be a simple nonsense catchphrase, but is revealed to be this when Birdperson explains in his language, it means "I am in great pain, please help me.
- In The Secret Show the Imposters are constantly heard saying the phrase "Ding Badoo!" though it's never revealed what these words mean.
- Voltron: Legendary Defender: The Galra have "vrepit sa". In season 6, Hunk has the opportunity to learn more about Galra culture, but is informed it will be a challenging endeavor from which there is no backing down. With more than a little trepidation, Hunk asks if he'll learn what "vrepit sa" means. When he's told he will, he immediately decides the training will be Worth It.


QSRE
Section: qsre man page (1)
Updated: November 2018
Index
Return to Main Contents
NAME
qsre matches a regular expression against test strings.
SYNOPSIS
qsre <string>|<path> <pcre>|<path>
DESCRIPTION
Regular expression test tool. The provided regular expression (pcre, caseless matching, "." matches anything incl. newline) is appplied against the provided test strings to verify if the pattern matches.
OPTIONS
- <string>|<path>
-
The first argument either defines a sinlge test string of a path to a file containing either multiple test strings or a test pattern with newline characters (text).
- <pcre>|<path>
-
The second argument either defines a regular expression or a path to a file containing the expression.
SEE ALSO
qsdt(1), qsexec(1), qsfilter2(1), qsgeo(1), qsgrep(1), qshead(1), qslog(1), qslogger(1), qspng(1), qsrespeed(1), qsrotate(1), qssign(1), qstail(1)
AUTHOR
Pascal Buchbinder, http://mod-qos.sourceforge.net/
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- OPTIONS
-
- SEE ALSO
-
- AUTHOR
-


Fast, lightweight and easy-to-use
open-source library for building static websites
Transform your JSON, RESTful or GraphQL data into static websites
- pip install haumea
- haumea-quickstart my-project
- cd my-project/
- haumea serve


Check Connection
If you do not see a wireless connection listed in the Wireless Network Connections window, check that Windows is managing the wireless connection by following the steps below.
-
In the Wireless Network Connection window, click the Change advanced settings link on the left.
-
In the Wireless Network Connection Properties window, click on the Wireless Networks tab at the top of the window.
-
In the Wireless Networks tab, tick the box next to Use Windows to configure my wireless network settings, then click OK. If the box is greyed out and you are unable to tick it, try enabling the Windows wireless zero configuration service
-
Open the Network Connections window again. (To open this from your desktop, go to Start and select Control Panel, then Network and Internet Connections, then Network Connections.)
-
Double-click the Wireless Network Connection icon in the Network Connections window again. This time the window should display the list of available wireless networks.
-
If you are now able to see wireless networks in this window (and are not switching your Sky wireless router to use WEP encryption), go back to the wireless connection guide (step 4).
If you are switching your Sky wireless router to use WEP encryption, go back to the Switching to WEP guide (step 4).


DANTE'S PEAK A film review by Marty Mapes Copyright 1997 Marty Mapes
While I was watching it, I loved Dante's Peak. It was a great action/disaster movie with lots of interesting sequences, riveting special effects, and likeable characters. Afterwards, the movie left my mind completely. It didn't resonate with any interesting themes or ideas; it was just a story, and it was done. But really, what else could anyone ask from an action movie? The effects-laden previews made this movie look like Twister, which I did not like. Many critics have called the two movies similar. Roger Ebert even outlines the "rules" for such disaster movies in his review. But I disagree that adherence to the genre necessarily makes a sub-par movie. Some formula movies work and others don't. Dante's Peak works.
Pierce Brosnan plays Harry Dalton, a volcanologist from the U.S. Geological Survey, who is sent to the perky little town of Dante's Peak. Strange things are happening in Dante's Peak; or maybe they aren't. That's what Harry has to find out. He arrives and hooks up with mayor Rachel Wando (played by Linda Hamilton) who shows him around. The movie spends some time getting to know Rachel, Harry, his colleagues, and the town. The characters are likeable, largely because Brosnan and Hamilton are so charismatic. And thankfully, as Andrea says, Rachel's kids aren't too annoying, (as many movie kids are these days).
The movie really takes off, though, when the mountain blows. At first there is panic among the townspeople and the panic is well-staged.  (That's cheaper, easier, and less interesting than actually spending time to choreograph the sequence.) The confusion in Dante's Peak is not entirely created through editing. There are actually carefully staged wide shots of townspeople running and driving amok. The freeway at the edge of town collapses and it looks like footage from the San Francisco earthquake. A flood of water, ash, and logs sweeps down the mountain and it looks like footage from Mt. St. Helens. Harry Dalton (the character) is trapped in a cave-in and I fear for Pierce Brosnan's (the actor's) safety.
After the preliminary eruption, the main characters rush from one dangerous situation to the next, and each of these sequences is riveting and frightening. The characters never do anything inhumanly stupid to bring the danger on themselves (as characters often do in horror movies), but there's always one more dangerous situation for the characters to face. Having survived several close geologic encounters, Harry and Rachel try to drive down off the mountain, only to discover that the road is blocked by a lava flow. Driving on might get them stuck in lava, but turning around might trap them on a doomed mountain. Credit the writing of Leslie Bohem for keeping these situations tense without feeling contrived, and for including enough of these vignettes to keep the pace moving.
I assume that most of these situations were computer generated (like the flood and the freeway collapse), and if it's true, these are the best computer-generated graphics I have seen. They were crude at the beginning of Dante's Peak (the peak is clearly inserted into the backgrounds), interesting in Terminator 2 and passably believable in Jurassic Park, but the flood scene in Dante's Peak looked frighteningly real and the freeway collapse had me riveted. They didn't work everywhere, like when the lava burst though the back wall of the cabin, but perhaps for the first time, some of the computer graphics are seamless.
This movie was crafted and not slapped together. There is some interesting camera work during the setup of the movie. The camera, in two parallel shots started on the face of a character, then pulled back and swung around to reveal the whole scene. It's not much, but it showed me that some care and thought were put into the movie.  Also, three PhDs were credited as advisors. I am not qualified to say if the science was true to life, but it felt about right and it wasn't condescending.
Although this movie may be totally forgotten in five years, it is great entertainment.
Check out more current movie reviews at http://www.indra.com/~mmapes
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


- call() - Method in class com.github.charithe.kafka.KafkaHelper.RecordConsumer
-
- clearAge() - Method in class com.example.Customer.Builder
-
Clears the value of the 'age' field.
- clearAutomatedEmail() - Method in class com.example.Customer.Builder
-
Clears the value of the 'automated_email' field.
- clearFirstName() - Method in class com.example.Customer.Builder
-
Clears the value of the 'first_name' field.
- clearHeight() - Method in class com.example.Customer.Builder
-
Clears the value of the 'height' field.
- clearLastName() - Method in class com.example.Customer.Builder
-
Clears the value of the 'last_name' field.
- clearWeight() - Method in class com.example.Customer.Builder
-
Clears the value of the 'weight' field.
- com.example - package com.example
-
- com.github.charithe.kafka - package com.github.charithe.kafka
-
- consume(String, KafkaConsumer<K, V>, int) - Method in class com.github.charithe.kafka.KafkaHelper
-
Attempt to consume the specified number of messages
- consumerConfig() - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a minimal consumer configuration with auto commit enabled.
- consumerConfig(boolean) - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a minimal consumer configuration.
- consumerConfig() - Method in class com.github.charithe.kafka.KafkaHelper
-
Get the consumer configuration (with auto-commit enabled)
- consumerConfig(boolean) - Method in class com.github.charithe.kafka.KafkaHelper
-
Get the consumer configuration
- ConsumerDemo - Class in com.github.charithe.kafka
-
- ConsumerDemo() - Constructor for class com.github.charithe.kafka.ConsumerDemo
-
- consumeStrings(String, int) - Method in class com.github.charithe.kafka.KafkaHelper
-
Consume specified number of string messages
- create() - Static method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a new ephemeral Kafka broker with random broker port and Zookeeper port
- create(int) - Static method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a new ephemeral Kafka broker with the specified broker port and random Zookeeper port
- create(int, int) - Static method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a new ephemeral Kafka broker with the specified broker port and Zookeeper port
- create(int, int, Properties) - Static method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a new ephemeral Kafka broker with the specified broker port, Zookeeper port and config overrides.
- create() - Static method in class com.github.charithe.kafka.KafkaJunitRule
-
- createByteConsumer() - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a consumer that reads bytes
- createByteConsumer(Properties) - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a consumer that reads bytes
- createByteProducer() - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a producer that writes byte keys and values
- createByteProducer(Properties) - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a producer that writes byte keys and values
- createConsumer(Deserializer<K>, Deserializer<V>, Properties) - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a consumer that can read from this broker
- createConsumer(Deserializer<K>, Deserializer<V>, Properties) - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a consumer that can read from this broker
- createDecoder(SchemaStore) - Static method in class com.example.Customer
-
Create a new BinaryMessageDecoder instance for this class that uses the specified SchemaStore
.
- createFor(EphemeralKafkaBroker) - Static method in class com.github.charithe.kafka.KafkaHelper
-
- createProducer(Serializer<K>, Serializer<V>, Properties) - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Create a producer that can write to this broker
- createProducer(Serializer<K>, Serializer<V>, Properties) - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a producer that can write to this broker
- createStringConsumer() - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a consumer that reads strings
- createStringConsumer(Properties) - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a consumer that reads strings
- createStringProducer() - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a producer that writes String keys and values
- createStringProducer(Properties) - Method in class com.github.charithe.kafka.KafkaHelper
-
Create a producer that writes String keys and values
- Customer - Class in com.example
-
- Customer() - Constructor for class com.example.Customer
-
Default constructor.
- Customer(String, String, Integer, Float, Float, Boolean) - Constructor for class com.example.Customer
-
All-args constructor.
- Customer.Builder - Class in com.example
-
RecordBuilder for Customer instances.
- get(int) - Method in class com.example.Customer
-
- getAge() - Method in class com.example.Customer.Builder
-
Gets the value of the 'age' field.
- getAge() - Method in class com.example.Customer
-
Gets the value of the 'age' field.
- getAutomatedEmail() - Method in class com.example.Customer.Builder
-
Gets the value of the 'automated_email' field.
- getAutomatedEmail() - Method in class com.example.Customer
-
Gets the value of the 'automated_email' field.
- getBrokerList() - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Get the current broker list string
- getClassSchema() - Static method in class com.example.Customer
-
- getDecoder() - Static method in class com.example.Customer
-
Return the BinaryMessageDecoder instance used by this class.
- getFirstName() - Method in class com.example.Customer.Builder
-
Gets the value of the 'first_name' field.
- getFirstName() - Method in class com.example.Customer
-
Gets the value of the 'first_name' field.
- getHeight() - Method in class com.example.Customer.Builder
-
Gets the value of the 'height' field.
- getHeight() - Method in class com.example.Customer
-
Gets the value of the 'height' field.
- getKafkaPort() - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Get the broker port
- getLastName() - Method in class com.example.Customer.Builder
-
Gets the value of the 'last_name' field.
- getLastName() - Method in class com.example.Customer
-
Gets the value of the 'last_name' field.
- getLogDir() - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Get the path to the Kafka log directory
- getProperties() - Method in class com.github.charithe.kafka.ConsumerDemo
-
- getProperties() - Method in class com.github.charithe.kafka.ProducerDemo
-
- getSchema() - Method in class com.example.Customer
-
- getWeight() - Method in class com.example.Customer.Builder
-
Gets the value of the 'weight' field.
- getWeight() - Method in class com.example.Customer
-
Gets the value of the 'weight' field.
- getZookeeperConnectString() - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Get the current Zookeeper connection string
- getZookeeperPort() - Method in class com.github.charithe.kafka.EphemeralKafkaBroker
-
Get the Zookeeper port