{% extends 'home.html' %} {%block body%} {%block header%} {%endblock header%} {% load static %}
We are final year university students and passionate learners .
We are trying to utilize the power of AI , more specifically computer vision in our task to perform classification ,segmentation , object-detection etc we have more such innovative ideas and we are capable to do so , we also have experience in natural language processing and have innovative ideas on that too this is just a demonstration of our capabilities.
Founder and CEO of HealthTech
I am a computer vision and nlp researcher and developer , i was responsible for the deeplearning and machine learning model development and deployment in this project .
Founder and CEO of HealthTech
I am a Fullstack Developer.I work as an Frontend Developer as well as Backend Developer in this project. And contributing my thought in MAKE IN INDIA campaign.


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Up to this point, everything we have covered has been covered by many excellent tutorials, books and other resources. If you have any questions about th first small part of this tutorial, a simple Google search will undoubtedly turn up some wonderful resources. I am going to assume that you have at least basic Python syntax and code structure down. If you find you're having a hard time following this because of vocabulary used, some reading on CPython would likely help. If you're finding this hard to follow because the ideas are not clearly presented, please contact me on the Brython Google Group (link at the top right of the tutorial). I will see any questions regarding the tutorial there.
And Onward! Presented below is the basic webpage layout used for most of this tutorial.


Want to start a technology career, but you don’t live in a tech center - or even within commuting distance of one? Distributed companies (and some roles within non-distributed companies) are made for remote employees.
This talk will share tools and resources for finding such roles.
I'm a tech professional based in Houston, Texas.


About Us
Our Mission at BusMall is to provide bus riders with a source for a wide array of excellent products, through continous market research, and customer feedback
Our Mission at BusMall is to provide bus riders with a source for a wide array of excellent products, through continous market research, and customer feedback


[§304A-2277] Professional student exchange program revolving fund. (a) There is established a professional student exchange program revolving fund to be administered and expended by the Hawaii commission.
(b) The following moneys shall be deposited into the revolving fund:
(1) Principal and interest payments received as repayment of financial support from former or current participants of the professional student exchange program, pursuant to section 304A‑3209; and
(2) Interest earned or accrued on moneys in the revolving fund.
(c) Moneys in the revolving fund shall be expended to:
(1) Support the professional student exchange program's activities, including the provision of financial support to participants at Western Interstate Commission for Higher Education receiver institutions; and
(2) Enforce the collection of delinquent obligations. [L 2012, c 137, pt of §1; am L 2015, c 106, §18]
Revision Note
Pursuant to §23G-15, this section:
(1) Enacted as an addition to part VII, subpart D, was redesignated to this part; and
(2) Was renumbered from §304A-2179.


80% of success is just showing up
So no matter how hard it get,
stick your chest out, keep your head up, and handle it
I ended up consistently hurting myself weight lifting. So I starting rock climbing to lift myself instead of weights. Rock climbing builds core strength and is an enjoyable full-body problem solving activity. In general static resistance training creates less pain and inflammation in my joints while still maintaining strength and muscle mass.
Even when I was close to defeat
I rose to my feet
Running puts too much stress on my joints and was not sustainable for me in the long-term; instead I've been walking, hiking, and swimming. These activities are just as enjoyable and softer on my joints. When I first started swimming, I had improper body position and body rotation. There's a lot of balance and coordination involved with swimming. I learned how to swim properly from the experts at SwimSmooth.com.
I never forgot Van Ness and Imperial
Look at my life, Ice Cube is a miracle
Yoga has helped me to increase mobility, focus my mind, live in the moment, and be thankful for every breath which I usually take for granted throughout each day. Right now, I'm probably not as grateful for simply breathing compared to someone who is drowning or unable to breathe. It's funny, many times I don't realize what I have to be thankful for until it's gone. Being grateful for simply breathing has helped me to appreciate all the wonderful things in my life.


Hello, i'm Max Lukin
I help business and companies to grow by consulting, developing and supporting using Software Engineering practices.
My area of interests includes large-scale web services, operational practices such as on-call and monitoring, effective developer tools and engineering leadership.
I enjoy working with open source (Ruby on Rails, Golang), writing about technologies I work with.
Feel free to email me at<EMAIL_ADDRESS>check my linkedin profile (experience/recommendations) or github


--- title: Forecast keywords: fastai sidebar: home_sidebar summary: "This module contains the forecast algorithms for a DGLM. These functions return a set of sampled values from the forecast distribution. Using this sample, PyBATS functions calculate point estimates (means, medians), and uncertainty measures such as credible intervals." description: "This module contains the forecast algorithms for a DGLM. These functions return a set of sampled values from the forecast distribution. Using this sample, PyBATS functions calculate point estimates (means, medians), and uncertainty measures such as credible intervals." nb_path: "nbs/02_forecast.ipynb" ---
Forecasting occurs at time $t$ before a new value $y_t$ has been observed. There are two types of forecasts:
Naturally, forecasting $k-$steps ahead requires knowing all predictors $X$ that far into the future as well. Marginal forecasting $k-$steps ahead accepts $X_{t+k-1}$ as an argument. Path forecasting accepts the predictors in an array. Each row contains the predictors at one time step, starting with $X_t$ in the first row, down to $X_{t+k-1}$ in the last row.
This marginal forecast method works for Poisson and Bernoulli DGLMs. Below we run through a basic usage with the following steps:
import numpy as np
from pybats.dglm import dlm, pois_dglm, bern_dglm, bin_dglm
from pybats.analysis import analysis
# Define Poisson and Bernoulli DGLMs, along with a normal DLM, with 1 trend term and 2 regression predictors
a0 = np.array([1, 1, 1])
R0 = np.eye(3)/10
mod_n = dlm(a0, R0, ntrend=1, nregn=2, deltrend=1, delregn=.9, discount_forecast=True)
mod_p = pois_dglm(a0, R0, ntrend=1, nregn=2, deltrend=1, delregn=.9)
mod_bern = bern_dglm(a0, R0, ntrend=1, nregn=2, deltrend=1, delregn=.9)
# New predictors for k=5 steps into the future
X = np.array([1,2])
First we're going to forecast from the Poisson DGLM, which will draw a random sample from the forecast distribution. We'll use the forecast samples to calculate a $95\%$ credible interval.
forecast_samples = mod_p.forecast_marginal(k = 5, X=X, nsamps=1000)
# Get the 95% credible intervals
np.percentile(forecast_samples, [2.5, 97.5])
We can repeat this analysis using the normal DLM:
forecast_samples = mod_n.forecast_marginal(k = 5, X=X, nsamps=1000)
# Get the 95% credible intervals
np.percentile(forecast_samples, [2.5, 97.5])
Next we'll test the models by setting mean_only=True
. This will return only the mean value, without simulation from the forecast distribution. It is much faster if the mean is the only value of interest.
Notice that we skipped simulating from the Bernoulli DGLM, because Bernoulli outcomes are only $0$ or $1$ anyway. The mean of the forecast distribution in a Bernoulli DGLM is equal to the probability of the outcome being $1$.
# Setting the flag mean_only=True returns the exact mean, without simulation
m_p = mod_p.forecast_marginal(k = 5, X=X, mean_only=True)
ans = [70.38455503971952]
assert (np.equal(np.round(ans[0], 5), np.round(m_p, 5)).all())
# Test the Bernoulli DGLM forecast mean is correct
# Setting the flag mean_only=True returns the exact mean, without simulation
m_bern = mod_bern.forecast_marginal(k=5, X=X, mean_only=True)
ans = [0.9771442828394032]
assert (np.equal(np.round(ans[0], 5), np.round(m_bern, 5)).all())
# Test the Bernoulli DGLM forecast mean is correct
# Setting the flag state_mean_var=True returns the exact mean and variance, without simulation
m_n, v = mod_n.forecast_marginal(k = 5, X=X, state_mean_var=True)
ans = [4., 1.82222222]
assert(np.equal(np.round(ans[0], 5), np.round(m_n, 5)).all())
assert(np.equal(np.round(ans[1], 5), np.round(v, 5)).all())
dglm.forecast_marginal
has three special features beyond returning just a random sample from the forecast distribution:
mean_only = True
makes the function return the mean of the forecast distribution, instead of a random sample.state_mean_and_var = True
makes the function return the mean and variance of the linear predictor, $\lambda_t = F_t^{'} \theta_t$.y
makes the function return the log probability density of y
under the forecast distribution, $p(y)$.We'll repeat the same tests from above on a binomial DGLM by specifying both the predictors X
and the number of trials n
.
mod_b = bin_dglm(a0, R0, ntrend=1, nregn=2, deltrend=1, delregn=.9)
# Test the Binomial DGLM
m_bin = mod_b.forecast_marginal(n = 10, k=5, X=X, mean_only=True)
ans = [9.771442828394033]
assert (np.equal(np.round(ans[0], 5), np.round(m_bin, 5)).all())
There are two functions for path forecasting with DGLMs. forecast_path_copula
is the default method, and is part of my new research. It dramatically speeds up path forecasting in DGLMs. The traditional forecast_path
function is only used when dglm.forecast_path
is called with the flag copula=FALSE
.
Below we'll test path forecasting - with a copula, as is the default - for $k=2$ steps into the future. The Poisson model will have $2$ trend terms - an intercept and a slope - and 1 regression term. This test will confirm that marginal forecasting and path forecasting lead to identical forecast means for $k=1$ and $k=2$ steps ahead.
a0 = np.array([1, 1, 1])
R0 = np.eye(3)/100
mod_p = pois_dglm(a0, R0, ntrend=2, nregn=1, deltrend=1, delregn=.9)
# The predictors for the next 2 time steps, X_t and X_(t+1), in a matrix with k=2 rows
X = np.array([[1], [0.5]])
# Test the Poisson DGLM by comparing the path and marginal forecast distributions
samps_copula = mod_p.forecast_path_copula(k = 2, X=X, nsamps=100000)
m_samp = samps_copula.mean(axis=0)
m_marg = np.array([mod_p.forecast_marginal(k=1, X = X[0], mean_only=True),
mod_p.forecast_marginal(k=2, X=X[1], mean_only=True)]).reshape(-1)
assert (np.equal(np.round(m_samp - m_marg, 1), np.zeros(2)).all())
samps_path = mod_p.forecast_path(k = 2, X=X, nsamps=2000, copula=False)
m_samp = samps_path.mean(axis=0)
assert (np.equal(np.round(m_samp - m_marg, 0), np.zeros(2)).all())
dglm.forecast_path
has two special features beyond returning just a random sample from the forecast distribution. These only work when using forecast_path_copula
, and are not yet available for a normal DLM.
y
makes the function return the log probability density of y
under the forecast distribution, $p(y)$.return_cov = True
makes the function return the covariance in the copula distribution. This will be different than the covariance in the forecast distribution, which can be calculated directly from a random sample.


--- layout: post title: Calvin & Hobbes Explain the Financial Crisis date: 2009-10-29 11:25:13.000000000 -05:00 comments: true categories: - business - calvin & hobbes - economy published: true --- Interesting take on how we got into the current economic crisis by our dear friends at Calvin and Hobbes.
[caption id="attachment_351" align="aligncenter" width="518" caption="Calvin & Hobbes - Explain the Financial Crisis"] [/caption]


I was fortunate enough to be able to attend the Velocity conference in New York and I have to say, I’m pretty pumped about what I’ve learned. There’s actually so much to share that it’ll take a little time to get through so today I thought I’d start with the timing api’s.
What are the Timing API’s?
Long story short, the api’s allow us to measure real web page timing metrics using javascript. This is awesome because we can report on exactly what kind of experience our users are actually having when they visit our sites.
There are three separate api’s that are available: Navigation, Resource, and User. We’ll go over Navigation Timing in this post.
Navigation Timing
Navigation timing is where you should start your performance measurements; it tells us how long our pages take to load. In fact, it goes into incredible detail about each step the browser is taking to retrieve a web page. Here’s a quick rundown of the information that the api provides.
navigationStart - This attribute returns the time immediately after the page unload event has finished. Basically, if there was a previous page loaded in the browser and you navigate to a new one, a page unload event occurrs. navigationStart returns the time immediately after this event.
unloadEventStart - As you leave a web page within a browser, the browser fires an unload event. The unloadEventStart attribute returns the starting time of the unload event. You would use this with the next attribute, unloadEventEnd, to measure how long the unload event takes to complete. This attribute, and it’s sibling, only work if there was a previous document and that document was on the same domain.
unloadEventEnd - This is the end time of the unload event. unloadEventEnd - unloadEventStart = How long the unload event took.
redirectStart - If one of your pages redirects to another page on the same domain, this attribute gives us the starting time of the document fetch. Like the previous two attributes, it works best with it’s sibling…
redirectEnd - There are a lot of Start/End pairs in the api. redirectEnd - redirectStart = How long it took redirect to another page and receive all the bytes for the new page.
fetchStart - This returns the time before the browser issues an HTTP GET and before it checks it’s local cache.
domainLookupStart - This one is what you expect it to be, the start time of the browser issuing a DNS lookup for a resource, but there is a bit more to understand. If your browser has a persistent connection to the server or if the resource is found in the local browser cache, then this attribute will return the same value as fetchStart.
domainLookupEnd - Again, this one will either be the end time of looking up the domain or, if the resource is in browser cache, it will return the same value as fetchStart. There’s also one more interesting piece of info to know, browsers can cache their own DNS records. So these two attributes, domainLookupStart and domainLookupEnd, can reflect the DNS lookup values from the browser’s cache.
connectStart - After a browser has retrieved the DNS records, it’s very next step is to connect to our web server. This attribute reflects the starting time of that connection. If the resource was in the local cache or the browser has a persistent connection, this value is equal to domainLookupEnd.
connectEnd - Hurray we established a connection, here’s how long it took: connectEnd - connectStart. This attribute is also subject to local cache or persistent connections (so it would equal the same thing as domainLookupEnd). connectEnd also encompasses the time to establish SSL handshakes. Finally, if a connection attempt fails before it succeeds, then connectStart and connectEnd will only tell us the time values for the successful connection.
secureConnectionStart - Unfortunately, this one is currently optional for the browsers. If a browser does implement it, this is the time just before the SSL handshake process. If a browser doesn’t implement this, it is suppossed to return undefined.
requestStart - This one confused me for a bit. requestStart is the time value of when the browser requests the page. At first, it sounds a lot like fetchStart, and for the most part these two values are probably going to be really close. The difference, however, is that fetchStart happens before cache/DNS lookups and before connections. requestStart represents the start time after all those previous steps have finished and the browser can confidently ask for the resource from the correct place. Notice that there is no requestEnd attribute. From the documentation and various W3C chat’s I found, a requestEnd attribute was both difficult to define and implement.
responseStart - This is the time immediately after the browser has received the first byte from the server/cache/local resource.
responseEnd - This is either the time immediately after receiving the last byte from the server/cache/local resource or it’s the time just before the transport connection is closed, whichever comes first.
domLoading - This is the time just before the browser sets the “current document readiness” state to “loading”. Honestly, I had no idea what any of that meant so I looked it up. Here’s the link http://www.w3.org/TR/html5/dom.html#current-document-readiness. Basically, the document object has three states: loading, interactive, and complete (loading while the DOM is still loading, interactive once the DOM is parsed but we’re still waiting on subresources, and complete is all done). You can see it by going to your browser’s console and typing document.readyState.
domInteractive - If any of my domLoading explanation made sense, then this should be apparent. This is the time just before the document readiness is set to “interactive”. It also represents the time after blocking scripts have been executed (inline scripts or src scripts that didn’t use defer or asynch).
domContentLoadedEventStart - This is the time right before the DOMContentLoaded event. It also represents the time after the browser has parsed all the scripts that used the defer attribute and not the async attribute. (So when do async script run? As soon as they are downloaded they are run… asynchronously).
domContentLoadedEventEnd - This is the time right after the DOMContentLoaded event. This happens once all scripts that are not part of the load event have completed.
domComplete - This is just before the document readiness state is set to complete.
loadEventStart - This is just before the document’s load event is fired.
loadEventEnd - This is just after the document’s load event. If the event was not fired or not completed, this is zero.
So What Do We Do With All This?
Measure All The Things! Literally, just start measuring. There’s a lot of information at our fingertips and it can be combined in various useful ways. Here’s an example from a GitHub repo by Alois Reitbauer (a member of the W3C performance group). You can find the repo here: https://github.com/AloisReitbauer/w3cinpractice
var timing= performance.timing;
var loadTime= (timing.loadEventEnd- timing.navigationStart)/1000;
console.log('Page took ' + loadTime.toFixed(2) + ' seconds to load');
That’s just the start. By recording various combinations of these, we can start to understand real user metrics (RUM) and make our users’ experiences better.
Happpy Coding.


Which Disney Character Are You? Lets' find out!
What is your name?
Favorite color?
Red
Blue
Green
Black
Yellow
Orange
Favorite quote?
“All our dreams can come true, if we have the courage to pursue them.”
"Just keep swimming!"
"You’re braver than you believe, and stronger than you seem, and smarter than you think."
"There is nowhere you could go that I won’t be with you."
"Oh yes, the past can hurt. But from the way I see it, you can either run from it, or learn from it."
"Love is putting someone else’s needs before yours."
Which place would you most likely visit?
Kenya
Antarctica
London
Samoa
Australia
Disney World
Which word best describes you?
Playful
Sassy
Spaz
Cuddly
Regal
Optimistic
Lets' find out!
Mickey Mouse!
Mufasa!
Winnie the Pooh!
Dory!
Moana!
Olaf!


4. Receiver with Phase switch and two hybrids
Two tests were attempted for the given configuration. The following configuration involved the second stripline hybrid.
Test 1
Fig 6a. Time series for the two signals, signal 1 (blue) and signal 2 (orange)
Fig 6b. (i) Power spectrum for signal 1 (green) with difference (blue). (ii) Power spectrum for signal 2 (green) with difference (blue)
Test 2
Fig 7a. Time series for the two signals, signal 1 (blue) and signal 2 (orange)
Fig 7b. (i) Power spectrum for signal 1 (green) with difference (blue). (ii) Power spectrum for signal 2 (green) with difference (blue)


What would be the best way to represent the constraint that {S1, ..., Sk} is a partition of S? Malcolm -- "Our age is not willing to stop with faith, with its miracle of turning water into wine, it goes further, it turns wine into water." -- Soren Kierkegaard, "Fear and Trembling"


Hello, I'm Julia and this is my photo album. We all love to take pictures and we all love to share our photos with friends. I fell in love with the process of creating a beautiful picture 2 years ago. And it began with a great desire to make a beautiful photo of my knitting and show them to friends, acquaintances and customers. Yes, knitting clothes is my first great passion, long in life, which combines the love of handmade and photography. It is very important for me that I like what I do and what I shoot. Because I love the process itself. Because I want to show you not the photo itself, but what it looks like on it. Today I am interested in several areas in photography. This subject photo, food photo and portrait. I will combine these areas in the field of stock photography. Open to communication, exchange of experience and cooperation. Welcome!"


Born and raised in Milwaukee, WI, Darín moved to Ohio to attend Oberlin College, where they gained experience working with various nonprofit groups. After college, they served as an AmeriCorps member at Cleveland Housing Network and fulfilled their goal of working with a nonprofit that directly serves the Latino community, Esperanza, Inc. Having been curious about coding for a few years, Darín finally made the jump to enroll with We Can Code IT for Fall 2016.
Certificate of Software Engineering
View screenshots of my projects. Click on the images to view github repository.


${1:Top tile}
{2:Subtitle}
${3:Bottom tile}
{4:Subtitle}
${5:Middle tile}
${6:With an image}
${8:Wide tile}
${9:Aligned with the right tile}
${11:Tall tile}
${12:With even more content}


HTTP Message Processors
The HTTP Message Processors can access and change the HTTP messages being fuzzed, control the fuzzing process and interact with the ZAP UI.
Built-in HTTP Message Processors include:
Anti-CSRF Token Refresher
Allows to refresh anti-CSRF tokens contained in the request. The anti-CSRF tokens must be properly detected by ZAP to be able to
use this processor.
For more information consult the help page "Getting Started" > "Features" > "Anti CSRF Tokens".
Note: This processor is automatically added to the list of processors, if anti-CSRF tokens were detected.
Fuzzer HTTP Processor (Script)
Allows to select the enabled Fuzzer HTTP Processor scripts. The scripts allow you to:
- Obtain the list of payloads
- Stop fuzzing
- Increase the error count
- Send new messages
- Add messages to the Results tab
- Set custom ‘state’ messages in the Fuzzer tab
- Raise alerts
Scripts can include both Required and Optional parameters the values for which the user will be prompted to provide when the Processor is added to the fuzzer.
The parameter names are defined within the script(s) via the methods getRequiredParamsNames
and getOptionalParamsNames
, each of which
simply return an array of strings representing the parameters names.
Payload Reflection Detector
Indicates in the State column of results table if one of the injected payloads were found in the response, using " Reflected".
Note: This processor is automatically added to the list of processors.
Request Content-Length Updater
Updates (or adds, if not already present) the Content-Length
request header with the length of the request body,
for all request methods. No change is done if the size of the request body is zero and the header is not already present.
Note: This processor is automatically added to the list of processors.
Tag Creator
Allows to add custom ‘tags’, based on contents of the response, to the State column of the results table
User Message Processor
Allows to fuzz as a user, using one of the users defined in the contexts that include the HTTP message being fuzzed. Users must
exist to be able to select and add this processor.
Other add-ons can define additional HTTP Message Processors.
Accessed via
See also


[% PROCESS "inc/header.inc" %]
[% $page := "stats" %]
[% PROCESS "inc/list-nav.inc" %]
{{ Graphs are updated daily. }}
{{ Quick notes: }}
- {{ Browser Filter means that both the "A" and "AAAA" test failed. Browser
(plugin/filter) shenanigans, likely with add-ons like ad blockers. }}
- {{ Brokeness goes down, when volume goes up. This is due to having a
wider sample of average people (versus people explicitly testing a new IPv6
setup). }}
{{ These graphs show the last 60 days of activity at site}}
{{ Graph: shows result summaries, stacked. Total height shows number of
users who took the test on a given day. }}
{{ Similiar graph, except this time showing percentages. }}
{{ The most interesting graph is the percentage of "broken" users. Our
definition of a "broken" user is that the browser stalls or times out, while
attempting to visit a web site published on both IPv4 and IPv6. }}
{{ Line graph, not stacked, of results over time. }}
{{ These graphs show the last 600 days of activity at site}}
{{ Graph: shows result summaries, stacked. Total height shows number of
users who took the test on a given day. }}
{{ Similiar graph, except this time showing percentages. }}
{{ The most interesting graph is the percentage of "broken" users. Our
definition of a "broken" user is that the browser stalls or times out, while
attempting to visit a web site published on both IPv4 and IPv6. }}
{{ Line graph, not stacked, of results over time. }}
[% PROCESS "inc/footer.inc" %]


Health First Pharmacy
Home
About Us
Products
DB
Add New Medcicine
Medicine_Id
Quantity
Cost
Production_Date
Expiry_Date
Medicine_Trade_Name
Submit


Using Variance = E[X^2] - E[X]^2
SELECT (SUM(SPEND)/COUNT(SPEND)) AS AVG_SPEND,
SQRT((SUM(SPEND^2)/COUNT(SPEND)) - (SUM(SPEND)/COUNT(SPEND))^2) AS SD_SPEND
FROM COHORT_DATA
GROUP BY COHORT;
census_data <- read.table("census-income.data", sep = ",", header = FALSE)
census_test <- read.table("census-income.test", sep = ",", header = FALSE)
names_data <- readLines("census-income.names", enc = 'UTF-8')
fields <- names_data[24:68]
headers <- sub(".*\\t", "", fields)
actual_headers <- headers[-c(5,21,35,40, 42)]
col_names <- c(actual_headers, "YEAR", "Income_Level")
colnames(census_data) <- col_names
colnames(census_test) <- col_names
Match column names to descriptions, remove MARSUPWT (instance weights), since it is not to be used as a classifier. Cases that are outside of the universe for a variable are labeled "NIU" - for example, children are not usually asked employment questions.
Check for duplicates and remove them
print(sum(duplicated(census_data)))
print(sum(duplicated(census_test)))
census_data <- unique(census_data)
census_test <- unique(census_test)
[1] 46627 [1] 20898
We look at some of the numeric columns; these need to be converted to nominal factors instead.
nums <- sapply(census_data, is.numeric)
Numeric_Columns <- colnames(census_data[, nums])
Nominal_Columns <- c("ADTIND", "ADTOCC", "SEOTR", "VETYN", "YEAR")
for (each in Nominal_Columns) {
census_data[[each]] <- as.factor(census_data[[each]])
census_test[[each]] <- as.factor(census_test[[each]])
}
We first look at how the response variable is distributed across the training data and test data.
print(prop.table(table(census_data$Income_Level)*100))
- 50000. 50000+. 0.91911495 0.08088505
print(prop.table(table(census_test$Income_Level)*100))
- 50000. 50000+. 0.92156117 0.07843883
For analysis, I split the data into two subsets, one with numeric variables and the other with factor variables.
numeric_census_data <- cbind(census_data[, sapply(census_data, is.numeric)], census_data$Income_Level)
colnames(numeric_census_data)[8] <- c("Income_Level")
nominal_census_data <- census_data[, sapply(census_data, is.factor)]
We look at the summary statistics of each of the numeric variables split on Income Level, to get an idea of which ones best discriminate the classification response.
Plot interleaved histograms of each of the numeric variables according to Income Level.
for (i in (1:7)){
current_variable <- colnames(numeric_census_data)[i]
assign(paste("table_", current_variable, sep = ""),
tapply(numeric_census_data[,i], numeric_census_data$Income_Level, summary))
density_plot <- ggplot(numeric_census_data, aes_string(current_variable, color = "Income_Level")) + geom_histogram(binwidth=.5, alpha=.5, position="identity")
assign(paste("plot_", current_variable, sep = ""),
density_plot)
}
We look at some of the density plots and summary statistics:
table_AAGE
$` - 50000.` Min. 1st Qu. Median Mean 3rd Qu. Max. 0.00 24.00 37.00 39.14 52.00 90.00 $` 50000+.` Min. 1st Qu. Median Mean 3rd Qu. Max. 16.00 38.00 45.00 46.27 53.00 90.00
options(repr.plot.width=5, repr.plot.height=4)
plot_AAGE
table_CAPGAIN
$` - 50000.` Min. 1st Qu. Median Mean 3rd Qu. Max. 0.0 0.0 0.0 191.5 0.0 100000.0 $` 50000+.` Min. 1st Qu. Median Mean 3rd Qu. Max. 0 0 0 4837 0 100000
table_WKSWORK
$` - 50000.` Min. 1st Qu. Median Mean 3rd Qu. Max. 0.00 0.00 40.00 28.48 52.00 52.00 $` 50000+.` Min. 1st Qu. Median Mean 3rd Qu. Max. 0.00 52.00 52.00 48.08 52.00 52.00
We look at each of the factors and the Income Level in turn
for (i in (1:33)){
current_variable <- colnames(nominal_census_data)[i]
tab <- table(nominal_census_data[,i], nominal_census_data$Income_Level)
# The code below to generate the tables was taken from StackOverflow
pt <- percent(c(round(prop.table(tab,2), 3)))
dim(pt) <- dim(tab)
dimnames(pt) <- dimnames(tab)
## This ends code from StackOverflow
tab_gg <- c(round(prop.table(tab,2), 3))
dim(tab_gg) <- dim(tab)
dimnames(tab_gg) <- dimnames(tab)
assign(paste("factor_table_", current_variable, sep = ""),
pt)
mosaic_plot <- plotluck(as.formula(paste(current_variable, "~", "Income_Level",sep = " ")), data = census_data)
assign(paste("factor_plot_", current_variable, sep = ""),
mosaic_plot)
}
Factor variable ADTIND has too many levels (52), truncating to 30 Factor variable ADTOCC has too many levels (47), truncating to 30 Factor variable GRINST has too many levels (51), truncating to 30 Factor variable HHDFMX has too many levels (36), truncating to 30 Factor variable PEFNTVTY has too many levels (43), truncating to 30 Factor variable PEMNTVTY has too many levels (43), truncating to 30 Factor variable PENATVTY has too many levels (43), truncating to 30
print(factor_table_ACLSWKR,quote = FALSE, right = TRUE)
- 50000. 50000+. Federal government 1.7% 4.8% Local government 4.9% 6.8% Never worked 0.3% 0.0% Not in universe 37.9% 7.3% Private 45.8% 59.2% Self-employed-incorporated 1.5% 9.2% Self-employed-not incorporated 5.1% 8.8% State government 2.7% 3.9% Without pay 0.1% 0.0%
options(repr.plot.width=5, repr.plot.height=4)
factor_plot_ACLSWKR
print(factor_table_AHGA,quote = FALSE, right = TRUE)
- 50000. 50000+. 10th grade 4.6% 0.5% 11th grade 4.4% 0.6% 12th grade no diploma 1.4% 0.3% 1st 2nd 3rd or 4th grade 1.2% 0.1% 5th or 6th grade 2.2% 0.2% 7th and 8th grade 4.4% 0.6% 9th grade 3.5% 0.3% Associates degree-academic program 2.8% 3.3% Associates degree-occup /vocational 3.4% 3.3% Bachelors degree(BA AB BS) 11.0% 31.6% Children 9.0% 0.0% Doctorate degree(PhD EdD) 0.4% 5.3% High school graduate 29.7% 15.2% Less than 1st grade 0.6% 0.0% Masters degree(MA MS MEng MEd MSW MBA) 3.1% 16.4% Prof school degree (MD DDS DVM LLB JD) 0.6% 7.8% Some college but no degree 17.5% 14.4%
options(repr.plot.width=5, repr.plot.height=4)
factor_plot_AHGA
print(factor_table_ASEX,quote = FALSE, right = TRUE)
- 50000. 50000+. Female 54.1% 21.5% Male 45.9% 78.5%
options(repr.plot.width=5, repr.plot.height=4)
factor_plot_ASEX
print(factor_table_FILESTAT,quote = FALSE, right = TRUE)
- 50000. 50000+. Head of household 5.0% 3.6% Joint both 65+ 4.3% 3.6% Joint both under 65 39.4% 71.5% Joint one under 65 & one 65+ 2.2% 2.4% Nonfiler 24.7% 0.3% Single 24.4% 18.6%
options(repr.plot.width=5, repr.plot.height=4)
factor_plot_FILESTAT
# Make sure levels match between test and training
levels(census_test$HHDFMX) <- levels(census_data$HHDFMX)
#Base probability we need to beat:
print(prop.table(table(census_test$Income_Level)*100))
- 50000. 50000+. 0.92156117 0.07843883
nb_model <- naiveBayes(Income_Level ~ ., data = census_data)
nb_test_predict <- predict(nb_model,census_test)
CrossTable(census_test$Income_Level, nb_test_predict,
prop.chisq = FALSE, prop.c = FALSE, prop.r = FALSE,
dnn = c('actual Income', 'predicted Income'))
print(paste("Accuracy is", mean(nb_test_predict==census_test$Income_Level)))
Cell Contents |-------------------------| | N | | N / Table Total | |-------------------------| Total Observations in Table: 78864 | predicted Income actual Income | - 50000. | 50000+. | Row Total | --------------|-----------|-----------|-----------| - 50000. | 63942 | 8736 | 72678 | | 0.811 | 0.111 | | --------------|-----------|-----------|-----------| 50000+. | 1794 | 4392 | 6186 | | 0.023 | 0.056 | | --------------|-----------|-----------|-----------| Column Total | 65736 | 13128 | 78864 | --------------|-----------|-----------|-----------| [1] "Accuracy is 0.866479001825928"
Fast
C5.0 algorithm uses entropy and information gain
Categorical variables - Partition by each level and find the best variable with highest information gain.
Continuous variables - Get the best cut point to do a binary partition with highest information gain.
You can see which attributes are used the most.
C5tree <- C5.0(census_data[-41],census_data$Income_Level)
pred_tree <- predict(C5tree, census_test)
CrossTable(census_test$Income_Level, pred_tree,
prop.chisq = FALSE, prop.c = FALSE, prop.r = FALSE,
dnn = c('actual Income', 'predicted Income'))
print(paste("Accuracy is", mean(pred_tree==census_test$Income_Level)))
Cell Contents |-------------------------| | N | | N / Table Total | |-------------------------| Total Observations in Table: 78864 | predicted Income actual Income | - 50000. | 50000+. | Row Total | --------------|-----------|-----------|-----------| - 50000. | 72324 | 354 | 72678 | | 0.917 | 0.004 | | --------------|-----------|-----------|-----------| 50000+. | 4731 | 1455 | 6186 | | 0.060 | 0.018 | | --------------|-----------|-----------|-----------| Column Total | 77055 | 1809 | 78864 | --------------|-----------|-----------|-----------| [1] "Accuracy is 0.935521911138162"
#summary(C5tree)
Evaluation on training data (152896 cases):
Decision Tree
----------------
Size Errors
293 8211( 5.4%) <<
(a) (b) <-classified as
----- -----
138990 1539 (a): class - 50000.
6672 5695 (b): class 50000+.
Attribute usage:
100.00% CAPGAIN
97.83% CAPLOSS
96.32% AHGA
95.23% DIVVAL
88.60% AHRSPAY
25.78% ADTOCC
11.17% ASEX
9.70% AAGE
9.35% WKSWORK
5.60% HHDFMX
3.97% FILESTAT
3.61% NOEMP
2.85% AMARITL
2.24% AUNTYPE
1.55% AHSCOL
1.21% PARENT
0.95% ADTIND
0.81% VETYN
0.79% ARACE
0.76% VETQVA
0.62% PEMNTVTY
0.48% ACLSWKR
0.40% AREORGN
0.32% GRINREG
0.25% HHDREL
0.10% PEFNTVTY
0.10% AMJOCC
0.09% AUNMEM
0.07% AWKSTAT
0.06% SEOTR
0.01% MIGSAME
0.01% PRCITSHP
Explore NBTree; no pure R package (in Java)
Research more about feature selection for classification
Build models on smaller subsets, selecting important features
Look at other measures to assess models, other than misclassification/error rate.


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Darcs
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Less common version control systems or unusual configurations may not be properly tested; please report any version control support bugs to the Meld issue tracker.


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I studied at The University of Texas at Austin from 2012 until 2016. I have completed a B.S. in Physics and Mathematics, and I also finished coursework for an Elements of Computing Certification.
As an undergraduate research assistant and as a research technician I used programming to solve my tasks. I automated experiments using LabView. I used Python and Matlab to implement statistical and numerical analysis techniques like Monte Carlo simulations. I love programming and web design work because it satisifies both my creative and analytical sides
Inside and outside of the classroom I have used a number of programming technologies...
A copy of my resume can be found here.
A sample of my work


January
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Find your Age!


5
The Song of Deborah and Barak
1 Then sang Deborah and Barak the son of Abinoam on that day:
2 “That the leaders took the lead in Israel,
that the people offered themselves willingly,
bless the LORD!
3 “Hear, O kings; give ear, O princes;
to the LORD I will sing;
I will make melody to the LORD, the God of Israel.
4 “LORD, when you went out from Seir,
when you marched from the region of Edom,
the earth trembled
and the heavens dropped,
yes, the clouds dropped water.
5 The mountains quaked before the LORD,
even Sinai before the LORD, the God of Israel.
6 “In the days of Shamgar, son of Anath,
in the days of Jael, the highways were abandoned,
and travelers kept to the byways.
7 The villagers ceased in Israel;
they ceased to be until I arose;
I, Deborah, arose as a mother in Israel.
8 When new gods were chosen,
then war was in the gates.
Was shield or spear to be seen
among forty thousand in Israel?
9 My heart goes out to the commanders of Israel
who offered themselves willingly among the people.
Bless the LORD.
10 “Tell of it, you who ride on white donkeys,
you who sit on rich carpets
and you who walk by the way.
11 To the sound of musicians at the watering places,
there they repeat the righteous triumphs of the LORD,
the righteous triumphs of his villagers in Israel.
“Then down to the gates marched the people of the LORD.
12 “Awake, awake, Deborah!
Awake, awake, break out in a song!
Arise, Barak, lead away your captives,
O son of Abinoam.
13 Then down marched the remnant of the noble;
the people of the LORD marched down for me against the mighty.
14 From Ephraim their root they marched down into the valley,
following you, Benjamin, with your kinsmen;
from Machir marched down the commanders,
and from Zebulun those who bear the lieutenant's staff;
15 the princes of Issachar came with Deborah,
and Issachar faithful to Barak;
into the valley they rushed at his heels.
Among the clans of Reuben
there were great searchings of heart.
16 Why did you sit still among the sheepfolds,
to hear the whistling for the flocks?
Among the clans of Reuben
there were great searchings of heart.
17 Gilead stayed beyond the Jordan;
and Dan, why did he stay with the ships?
Asher sat still at the coast of the sea,
staying by his landings.
18 Zebulun is a people who risked their lives to the death;
Naphtali, too, on the heights of the field.
19 “The kings came, they fought;
then fought the kings of Canaan,
at Taanach, by the waters of Megiddo;
they got no spoils of silver.
20 From heaven the stars fought,
from their courses they fought against Sisera.
21 The torrent Kishon swept them away,
the ancient torrent, the torrent Kishon.
March on, my soul, with might!
22 “Then loud beat the horses' hoofs
with the galloping, galloping of his steeds.
23 “Curse Meroz, says the angel of the LORD,
curse its inhabitants thoroughly,
because they did not come to the help of the LORD,
to the help of the LORD against the mighty.
24 “Most blessed of women be Jael,
the wife of Heber the Kenite,
of tent-dwelling women most blessed.
25 He asked water and she gave him milk;
she brought him curds in a noble's bowl.
26 She sent her hand to the tent peg
and her right hand to the workmen's mallet;
she struck Sisera;
she crushed his head;
she shattered and pierced his temple.
27 Between her feet
he sank, he fell, he lay still;
between her feet
he sank, he fell;
where he sank,
there he fell—dead.
28 “Out of the window she peered,
the mother of Sisera wailed through the lattice:
‘Why is his chariot so long in coming?
Why tarry the hoofbeats of his chariots?’
29 Her wisest princesses answer,
indeed, she answers herself,
30 ‘Have they not found and divided the spoil?—
A womb or two for every man;
spoil of dyed materials for Sisera,
spoil of dyed materials embroidered,
two pieces of dyed work embroidered for the neck as spoil?’
31 “So may all your enemies perish, O LORD!
But your friends be like the sun as he rises in his might.”
And the land had rest for forty years.


Spoilers: Lydia discovers she could be seriously ill in Emmerdale tonight
Lydia Hart (Karen Blick) has been through a lot over the past couple of months in Emmerdale, but she’s set for more heartache and devastation in tonight’s episode when she not only comes face-to-face with her long-lost mum Agatha, but she also learns some heart-breaking news.
After all the torment she’s caused Lydia, Mandy (Lisa Riley) is determined to make amends tonight, and thus she sets out to speak to Lydia’s sister, Beth, once more.
However, as Mandy arrives at Beth’s place, she comes face-to-face Agatha —aka Lydia’s mum. Mandy’s confused, as she believed Agatha to be dead — as did Lydia for that matter.
Agatha asks Mandy to take her to see Lydia and, after some persuasion, Mandy agrees to do so. Later, they arrive at the Dingles’ home — and Lydia is shocked when she sets her sights upon her mum.
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Agatha attempts to reacquaint herself with her daughter, and admits that she’s got a bit of explaining too.
However, if having to cope with the stress of the situation at hand wasn’t hard enough for Lydia to deal with, she soon realises an upsetting fact. Yes, her dad died as a result of Huntington’s disease — and there’s a likely chance that Lydia could have the same thing.
How will Lydia react to receiving the news?
Will her and Agatha get along?
Emmerdale continues Monday 18thNovember at 7pm on ITV.


« CSS « CSS Reference « CSS Reference:Mozilla Extensions
The :-moz-ui-valid
CSS pseudo-class represents any validated form element whose value validates correctly based on its validation constraints.
This pseudo-class is applied according to the following rules:
The result is that if the control was valid when the user started interacting with it, the validity styling is changed only when the user shifts focus to another control. However, if the user is trying to correct a previously-flagged value, the control shows immediately when the value becomes valid. Required items are flagged as invalid only if the user changes them or attempts to submit an unchanged invalid value.
| Browser | Lowest version |
|---|---|
| Internet Explorer | --- |
| Firefox (Gecko) | 4.0 (2.0) |
| Opera | ? |
| Safari (WebKit) | ? |


Package javax.measure.quantity
Quantity
interface.
Only quantities defined in the BIPM - SI Brochure
are provided here. Users can create their own quantity types by extending the
Quantity
interface.
This package supports measurable quantities, which can be expressed
as (Number
, Unit
) tuples.
Those tuples are not necessarily used directly in numerically intensive code.
They are more useful as meta-data converted to the application internal representation
(for example double
primitive type with the requirement to provide values in meters)
before computation begins.
Quantity
sub-types are also used as parameterized type to characterize
generic classes and provide additional compile time check. This technique is
used extensively by the Unit
interface,
but users can apply the same approach to their own classes. In the example
below, Sensor
, MyQuantity
and Vector3D
are user-defined
classes:
// A general-purpose Sensor class used for temperature measurements:
Sensor<Temperature> sensor ...;
Temperature temp = sensor.getValue();
// A vector of velocity in a three-dimensional space.
Unit<Speed> = metrePerSecond = METRE.divide(SECOND);
Vector3D<Speed> aircraftSpeed = new Vector3D(200.0, 50.0, -0.5, metrePerSecond);
This package holds only the quantities required by the metric system.
- Since:
- 1.0
- Version:
- 2.8
- Author:
- Jean-Marie Dautelle, Werner Keil
- See Also:
-
ClassDescriptionRate of change of velocity with respect to time.Number of elementary entities (molecules, for example) of a substance.Figure formed by two lines diverging from a common point.Extent of a planar region or of the surface of a solid measured in square units.Catalytic activity.Dimensionless quantity.Electric capacitance.Electric charge.Electric conductance.Amount of electric charge flowing past a specified circuit point per unit time.Electric inductance.Electric potential or electromotive force.Electric resistance.Capacity of a physical system to do work.Quantity that tends to produce an acceleration of a body in the direction of its application.Number of times a specified phenomenon occurs within a specified interval.Illuminance.Extent of something along its greatest dimension or the extent of space between two objects or places.Luminous flux.Luminous flux density per solid angle as measured in a given direction relative to the emitting source.Magnetic flux.Magnetic flux density.Measure of the quantity of matter that a body or an object contains.Rate at which work is done.Force applied uniformly over a surface.Amount of energy deposited per unit of mass.Effective (or "equivalent") dose of radiation received by a human or some other living organism.Radioactive activity.Angle formed by three or more planes intersecting at a common point.Distance traveled divided by the time of travel.Degree of hotness or coldness of a body or an environment.Period of existence or persistence.Amount of space occupied by a three-dimensional object or region of space.


I sometimes get annoyed when there's so much things to code and it looks complicated. I just need to start and do one by one, but I don't even want to start. I think it's because I get scared of how much I have to do to finish and keep getting stress by thinking about it.
I think it is useful. But I'm not sure if I can use it when very strong feeling is happened. I need to try.


Files | |
| file | unicache.h |
| This file contains the interfaces present in the Uni-cache HAL. This also contains some related macros, structures and enums. | |
Macros | |
| #define | UNICACHE_WAIT_INFINITE (0xFFFFFFFFU) |
| UNICACHE_WAIT_INFINITE: Macro defining the flag for infinite wait. | |
| #define | UNICACHE_WAIT_NOWAIT (0x0U) |
| UNICACHE_WAIT_NOWAIT: Macro defining the flag for no wait. | |
| #define | UNICACHE_LINE_SIZE ((uint32_t) 32U) |
| This macro defines the size of the uni-cache line in bytes. | |
| #define | UNICACHE_LINE_ADDRESS_MASK (~((uint32_t) 0x1FU)) |
| This macro defines the mask value used to calculate uni-cache line address. | |
| #define | UNICACHE_MAX_LINE_MODE_BUFF_SIZE ((uint32_t) 1024U) |
| This macro defines the maximum buffer size for doing discrete cache line operations in bytes. More... | |
Functions | |
| void | UNICACHEEnable (uint32_t baseAddr) |
| This function first checks if unicache is enabled and enables it if it is not enabled. More... | |
| void | UNICACHEDisable (uint32_t baseAddr) |
| This function disables the unicache. More... | |
| void | UNICACHEInvalidateCacheLine (uint32_t baseAddr, uint32_t maintenanceAddr) |
| This function invalidates one cache line. More... | |
| int32_t | UNICACHEWaitCacheMaint (uint32_t baseAddr, uint32_t numRetries) |
| This function wait for cache maintenance operation to finish. More... | |
| int32_t | UNICACHEInvalidate (uint32_t baseAddr, uint32_t startAddress, uint32_t byteCount, uint32_t tWait) |
| This function invalidates the cache lines in the region defined by maintenance start/end address. More... | |
| void | UNICACHEWriteBackCacheLine (uint32_t baseAddr, uint32_t maintenanceAddr) |
| This function evicts one dirty cache line. More... | |
| int32_t | UNICACHEWriteBack (uint32_t baseAddr, uint32_t startAddress, uint32_t byteCount, uint32_t tWait) |
| This function evicts the dirty cache lines in the region defined by maintenance start/end address. More... | |
| void | UNICACHELockCacheLine (uint32_t baseAddr, uint32_t maintenanceAddr) |
| This function locks one cache line. More... | |
| int32_t | UNICACHELock (uint32_t baseAddr, uint32_t startAddress, uint32_t byteCount, uint32_t tWait) |
| This function locks the region defined by maintenance start/end address. More... | |
| void | UNICACHEUnlockCacheLine (uint32_t baseAddr, uint32_t maintenanceAddr) |
| This function unlocks one cache line. More... | |
| int32_t | UNICACHEUnlock (uint32_t baseAddr, uint32_t startAddress, uint32_t byteCount, uint32_t tWait) |
| This function unlocks the region defined by maintenance start/end address. More... | |
| void | UNICACHEPreloadCacheLine (uint32_t baseAddr, uint32_t maintenanceAddr) |
| This function pre-loads one cache line. More... | |
| int32_t | UNICACHEPreload (uint32_t baseAddr, uint32_t startAddress, uint32_t byteCount, uint32_t tWait) |
| This function pre-loads the region defined by maintenance start/end address. More... | |
| void | UNICACHEWriteBackAndInvalidateCacheLine (uint32_t baseAddr, uint32_t maintenanceAddr) |
| This function invalidates and evicts one cache line. More... | |
| int32_t | UNICACHEWriteBackAndInvalidate (uint32_t baseAddr, uint32_t startAddress, uint32_t byteCount, uint32_t tWait) |
| This function invalidates and evicts the cache lines in the region defined by maintenance start/end address. More... | |
| void | UNICACHEPreloadAndLockCacheLine (uint32_t baseAddr, uint32_t maintenanceAddr) |
| This function pre-loads and locks one cache line. More... | |
| int32_t | UNICACHEPreloadAndLock (uint32_t baseAddr, uint32_t startAddress, uint32_t byteCount, uint32_t tWait) |
| This function pre-loads and locks the region defined by maintenance start/end address. More... | |
| int32_t | UNICACHEWriteBackAll (uint32_t baseAddr, uint32_t tWait) |
| This function evicts the whole unicache. More... | |
| int32_t | UNICACHEInvalidateAll (uint32_t baseAddr, uint32_t tWait) |
| This function invalidates the whole unicache. More... | |
| int32_t | UNICACHEWriteBackAndInvalidateAll (uint32_t baseAddr, uint32_t tWait) |
| This function invalidates and evicts the whole unicache. More... | |
| #define UNICACHE_MAX_LINE_MODE_BUFF_SIZE ((uint32_t) 1024U) |
This macro defines the maximum buffer size for doing discrete cache line operations in bytes.
For buffers below a certain size, cache maintenance operations are more efficient if performed on single cache lines at a time rather than on an entire region. For buffer sizes equal to or less than this value, the invalidate and write back APIs use a series of individual cache line operations. For buffer sizes large than this value, a a single block mode operation will be performed.
| void UNICACHEDisable | ( | uint32_t | baseAddr | ) |
This function disables the unicache.
| baseAddr | Base Address of Uni-cache registers. |
| void UNICACHEEnable | ( | uint32_t | baseAddr | ) |
This function first checks if unicache is enabled and enables it if it is not enabled.
| baseAddr | Base Address of Uni-cache registers. |
| int32_t UNICACHEInvalidate | ( | uint32_t | baseAddr, |
| uint32_t | startAddress, | ||
| uint32_t | byteCount, | ||
| uint32_t | tWait | ||
| ) |
This function invalidates the cache lines in the region defined by maintenance start/end address.
| baseAddr | Base Address of Uni-cache registers. |
| startAddress | Maintenance region start address. |
| byteCount | Length of the maintenance region. |
| tWait | Wait Time for maintenance operation completion. |
| int32_t UNICACHEInvalidateAll | ( | uint32_t | baseAddr, |
| uint32_t | tWait | ||
| ) |
This function invalidates the whole unicache.
| baseAddr | Base Address of Uni-cache registers. |
| tWait | Wait Time for maintenance operation completion. |
| void UNICACHEInvalidateCacheLine | ( | uint32_t | baseAddr, |
| uint32_t | maintenanceAddr | ||
| ) |
This function invalidates one cache line.
| baseAddr | Base Address of Uni-cache registers. |
| maintenanceAddr | Maintenance Address. Should be aligned as per cache line size UNICACHE_LINE_SIZE. |
| int32_t UNICACHELock | ( | uint32_t | baseAddr, |
| uint32_t | startAddress, | ||
| uint32_t | byteCount, | ||
| uint32_t | tWait | ||
| ) |
This function locks the region defined by maintenance start/end address.
| baseAddr | Base Address of Uni-cache registers. |
| startAddress | Maintenance region start address. |
| byteCount | Length of the maintenance region. |
| tWait | Wait Time for maintenance operation completion. |
| void UNICACHELockCacheLine | ( | uint32_t | baseAddr, |
| uint32_t | maintenanceAddr | ||
| ) |
This function locks one cache line.
| baseAddr | Base Address of Uni-cache registers. |
| maintenanceAddr | Maintenance Address. Should be aligned as per cache line size UNICACHE_LINE_SIZE. |
| int32_t UNICACHEPreload | ( | uint32_t | baseAddr, |
| uint32_t | startAddress, | ||
| uint32_t | byteCount, | ||
| uint32_t | tWait | ||
| ) |
This function pre-loads the region defined by maintenance start/end address.
| baseAddr | Base Address of Uni-cache registers. |
| startAddress | Maintenance region start address. |
| byteCount | Length of the maintenance region. |
| tWait | Wait Time for maintenance operation completion. |
| int32_t UNICACHEPreloadAndLock | ( | uint32_t | baseAddr, |
| uint32_t | startAddress, | ||
| uint32_t | byteCount, | ||
| uint32_t | tWait | ||
| ) |
This function pre-loads and locks the region defined by maintenance start/end address.
| baseAddr | Base Address of Uni-cache registers. |
| startAddress | Maintenance region start address. |
| byteCount | Length of the maintenance region. |
| tWait | Wait Time for maintenance operation completion. |
| void UNICACHEPreloadAndLockCacheLine | ( | uint32_t | baseAddr, |
| uint32_t | maintenanceAddr | ||
| ) |
This function pre-loads and locks one cache line.
| baseAddr | Base Address of Uni-cache registers. |
| maintenanceAddr | Maintenance Address. Should be aligned as per cache line size UNICACHE_LINE_SIZE. |
| void UNICACHEPreloadCacheLine | ( | uint32_t | baseAddr, |
| uint32_t | maintenanceAddr | ||
| ) |
This function pre-loads one cache line.
| baseAddr | Base Address of Uni-cache registers. |
| maintenanceAddr | Maintenance Address. Should be aligned as per cache line size UNICACHE_LINE_SIZE. |
| int32_t UNICACHEUnlock | ( | uint32_t | baseAddr, |
| uint32_t | startAddress, | ||
| uint32_t | byteCount, | ||
| uint32_t | tWait | ||
| ) |
This function unlocks the region defined by maintenance start/end address.
| baseAddr | Base Address of Uni-cache registers. |
| startAddress | Maintenance region start address. |
| byteCount | Length of the maintenance region. |
| tWait | Wait Time for maintenance operation completion. |
| void UNICACHEUnlockCacheLine | ( | uint32_t | baseAddr, |
| uint32_t | maintenanceAddr | ||
| ) |
This function unlocks one cache line.
| baseAddr | Base Address of Uni-cache registers. |
| maintenanceAddr | Maintenance Address. Should be aligned as per cache line size UNICACHE_LINE_SIZE. |
| int32_t UNICACHEWaitCacheMaint | ( | uint32_t | baseAddr, |
| uint32_t | numRetries | ||
| ) |
This function wait for cache maintenance operation to finish.
| baseAddr | Base Address of Uni-cache registers. |
| numRetries | Wait Time for maintenance operation completion. |
| int32_t UNICACHEWriteBack | ( | uint32_t | baseAddr, |
| uint32_t | startAddress, | ||
| uint32_t | byteCount, | ||
| uint32_t | tWait | ||
| ) |
This function evicts the dirty cache lines in the region defined by maintenance start/end address.
| baseAddr | Base Address of Uni-cache registers. |
| startAddress | Maintenance region start address. |
| byteCount | Length of the maintenance region. |
| tWait | Wait Time for maintenance operation completion. |
| int32_t UNICACHEWriteBackAll | ( | uint32_t | baseAddr, |
| uint32_t | tWait | ||
| ) |
This function evicts the whole unicache.
| baseAddr | Base Address of Uni-cache registers. |
| tWait | Wait Time for maintenance operation completion. |
| int32_t UNICACHEWriteBackAndInvalidate | ( | uint32_t | baseAddr, |
| uint32_t | startAddress, | ||
| uint32_t | byteCount, | ||
| uint32_t | tWait | ||
| ) |
This function invalidates and evicts the cache lines in the region defined by maintenance start/end address.
| baseAddr | Base Address of Uni-cache registers. |
| startAddress | Maintenance region start address. |
| byteCount | Length of the maintenance region. |
| tWait | Wait Time for maintenance operation completion. |
| int32_t UNICACHEWriteBackAndInvalidateAll | ( | uint32_t | baseAddr, |
| uint32_t | tWait | ||
| ) |
This function invalidates and evicts the whole unicache.
| baseAddr | Base Address of Uni-cache registers. |
| tWait | Wait Time for maintenance operation completion. |
| void UNICACHEWriteBackAndInvalidateCacheLine | ( | uint32_t | baseAddr, |
| uint32_t | maintenanceAddr | ||
| ) |
This function invalidates and evicts one cache line.
| baseAddr | Base Address of Uni-cache registers. |
| maintenanceAddr | Maintenance Address. Should be aligned as per cache line size UNICACHE_LINE_SIZE. |
| void UNICACHEWriteBackCacheLine | ( | uint32_t | baseAddr, |
| uint32_t | maintenanceAddr | ||
| ) |
This function evicts one dirty cache line.
| baseAddr | Base Address of Uni-cache registers. |
| maintenanceAddr | Maintenance Address. Should be aligned as per cache line size UNICACHE_LINE_SIZE. |


memory 5 src/character-pool.c Status_Access memory = calloc(size, sizeof(Status)); memory 8 src/character-pool.c pool_access->pool = memory; memory 16 src/character-pool.c Character_Base_Access memory = calloc(size, sizeof(Character_Base_Type)); memory 19 src/character-pool.c pool_access->pool = memory; memory 23 src/character-skill.c Skill_Access memory = calloc(size, sizeof(Skill)); memory 26 src/character-skill.c pool_access->pool = memory;


| Package | Description |
|---|---|
| org.javasimon |
Core package, contains
Simon implementations, with
the SimonManager as the center point of the API. |
| org.javasimon.callback | |
| org.javasimon.callback.calltree |
CallTreeCallback gathers information
for current thread and displays it subsequent calls like a tree. |
| org.javasimon.callback.lastsplits |
LastSplitsCallback retains last
splits in a ring a buffer (fixed size FIFO queue). |
| org.javasimon.callback.logging |
LoggingCallback is able to log stopwatch splits and statistics once
in a while (N per millisecond, every N split, when split is longer than N ms, etc.)
and to various outputs (SLF4J, JUL). |
| org.javasimon.callback.quantiles |
QuantilesCallback sorts splits to categories
(Bucket s) based on time ranges. |
| org.javasimon.callback.timeline | |
| org.javasimon.jmx |
JMX capabilities for Simons.
|
| org.javasimon.utils |
Java Simon supporting utilities and tools.
|
| Modifier and Type | Method and Description |
|---|---|
StopwatchSample |
Stopwatch.sample() |
StopwatchSample |
Stopwatch.sampleIncrement(Object key) |
StopwatchSample |
Stopwatch.sampleIncrementNoReset(Object key) |
| Modifier and Type | Method and Description |
|---|---|
void |
CompositeFilterCallback.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample) |
void |
CompositeCallbackImpl.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample) |
void |
CallbackSkeleton.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample) |
void |
Callback.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample)
Stopwatch add split event.
|
void |
CompositeFilterCallback.onStopwatchStop(Split split,
StopwatchSample sample) |
void |
CompositeCallbackImpl.onStopwatchStop(Split split,
StopwatchSample sample) |
void |
CallbackSkeleton.onStopwatchStop(Split split,
StopwatchSample sample) |
void |
Callback.onStopwatchStop(Split split,
StopwatchSample sample)
Stopwatch stop event.
|
| Modifier and Type | Method and Description |
|---|---|
void |
CallTreeCallback.onStopwatchStop(Split split,
StopwatchSample sample) |
| Modifier and Type | Method and Description |
|---|---|
void |
LastSplitsCallback.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample) |
void |
LastSplitsCallback.onStopwatchStop(Split split,
StopwatchSample sample)
When a Splits is stopped, it is added to the stopwatch a Last Splits attribute.
|
| Modifier and Type | Method and Description |
|---|---|
void |
LoggingCallback.onStopwatchStop(Split split,
StopwatchSample sample)
Stopwatch stop event.
|
| Modifier and Type | Method and Description |
|---|---|
void |
QuantilesCallback.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample)
When a split is added, if buckets have been initialized, the value is added to appropriate bucket.
|
void |
QuantilesCallback.onStopwatchStop(Split split,
StopwatchSample sample)
When a split is stopped, if buckets have been initialized, the value
is added to appropriate bucket.
|
| Modifier and Type | Method and Description |
|---|---|
void |
TimelineCallback.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample) |
void |
TimelineCallback.onStopwatchStop(Split split,
StopwatchSample sample) |
| Modifier and Type | Class and Description |
|---|---|
class |
StopwatchSample
Value object for retrieving data from Stopwatch Simon.
|
| Modifier and Type | Method and Description |
|---|---|
StopwatchSample |
SimonManagerMXBean.getStopwatchSample(String name)
Retrieves sample data object for a particular Stopwatch.
|
| Constructor and Description |
|---|
StopwatchSample(StopwatchSample sample)
Framework constructor for Simon MBean implementation to initialize all properties
by sample obtained from Simon.
|
| Modifier and Type | Method and Description |
|---|---|
static StopwatchSample[] |
BenchmarkUtils.run(int warmupRuns,
int measuredRuns,
BenchmarkUtils.Task... tasks)
Runs the list of tasks to be benchmarked and returns
StopwatchSample array with measured results. |
| Modifier and Type | Method and Description |
|---|---|
static String |
GoogleChartImageGenerator.barChart(StopwatchSample... samples)
Generates Google bar chart URL for the provided samples showing mean values in milliseconds with default title.
|
static String |
GoogleInteractiveChartGenerator.barChart(StopwatchSample[] samples,
String title,
double divisor,
String unit)
Generates Google bar chart HTML5 source code for the provided samples.
|
static String |
GoogleChartImageGenerator.barChart(String title,
SimonUnit unit,
boolean showMaxMin,
StopwatchSample... samples)
Generates Google bar chart URL for the provided samples.
|
static String |
GoogleChartImageGenerator.barChart(String title,
SimonUnit unit,
StopwatchSample... samples)
Generates Google bar chart URL for the provided samples showing only mean values.
|
static String |
GoogleChartImageGenerator.barChart(String title,
StopwatchSample... samples)
Generates Google bar chart URL for the provided samples showing mean values in milliseconds.
|
void |
SystemDebugCallback.onStopwatchAdd(Stopwatch stopwatch,
Split split,
StopwatchSample sample) |
void |
SystemDebugCallback.onStopwatchStop(Split split,
StopwatchSample sample) |
void |
SLF4JLoggingCallback.onStopwatchStop(Split split,
StopwatchSample sample)
Logs Simon stop on a specified log marker.
|
void |
LoggingCallback.onStopwatchStop(Split split,
StopwatchSample sample)
Logs Simon stop on a specified log level.
|
Copyright © 2019. All rights reserved.


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Cute Dog Pretending to be a Plush Carpet
Samoyed is a breed with a unique coat of snow-white color, a playful character and a unique inborn smile. These dogs have a proud posture, unsurpassed stamina, gentle character and devotion to the owner.
The breed is universal and can be used as a companion, watchman, shepherd and sled dog. They are very trainable and very sensitive to their owners, other people, and even other animals.
Have a look at this cute Samoyed dog that is sleeping quietly and pretending to be a plush carpet.


Staple Review
A stapler is one of the more important pieces of academic equipment.
Background
PaperPro made excellent staplers but it appears the company doesn’t exist any more and current versions are badged under Bostitch. Wired had a blog post on the PaperPro , referencing Office Supply Geek’s review (with a name like that you expect them to take their staplers seriously) which says it is one of the best staplers ever.
The reason they are good is because they employ a spring to drive the staple through the paper. The earliest patent for a spring loaded stapler appears to be US7681771B2 Stapler, which is relatively recent (2006).
Three brands of staples
Having a fine stapler is not enough. My PaperPro couldn’t even go through tens of sheets of paper, but it’s supposed to do 25. Was it my Celco brand staples? At Officeworks, there are a number of choices, but which one? Should I get the $2.78 “J. Burrows Size 26/6 Staples 5000 pack”, or the 5x more expensive $2.55 “Rapid 26/6 Strong Staples 1000 pack”? Both are made in China as is the Celco.
Staples are specified as X/Y type, with X being the gauge and Y being the length of the leg. The 26/6 size is the most common, and this means that the diameter is 26 AWG (0.405 mm) and the leg is 6 mm (note that the diameter gets bigger as the gauge gets smaller). I first verified the diameter of the three types of staples. All were the same.
So how well did they work? I took a 50 page (25 sheet) draft manuscript that we are working on and tried them out. In the figure below, we have the J. Burrows (left), Celco (middle) and Rapid (right).
Clearly the middle Celco (the original ones I wasn’t happy with) was not up to the task. The Rapid (right) was also slightly buckled while the Burrows (left) looked the best.
The difference was even more apparent from underneath. The best was clearly the Burrows (on the left below). Rapid (right) managed to fool me by using “Strong” in the product name. They are a lot more expensive but no better than the Burrows. Last was the Celco brand which are terrible.


TWENTY BUCKS a review by Tak Copyright 1993 by Mark Takacs
A Triton Pictures Release Directed by Keva RosenFeld Produced by Karen Murphy ScreenPlay by Leslie Bohem & Endre Bohem 91 mins / rated R Tak rating: see it several times - full and/or matinee I'd see it again with friends who haven't
Press Release: -------------- A favorite at this year's Seattle International Film Festival, TWENTY BUCKS features an illustrious cast of characters who come into contact with a particular $20 bill, from its withdrawal at a bank machine through its inevitable demise. The journey of the greenback touches the lives of a struggling young writer (Elizabeth Shue); a street-person obsessed with winning the lottery (Linda Hunt); a blue-collar fiance (Brendan Fraser) about to marry the boss' daughter (Sam Jenkins); a priest who runs a Bingo game (Spalding Gray); a kind, fortune-telling grandmother (Gladys Knight); her young, rap-singing-Craig Clairborne-wannabe grandson (Kamau Holloway); and two ill fated hold-up thieves (Christopher Lloyd and Steve Buscemi). To some, the $20 bill brings power, to others a symbol for their dream. As it weaves a path providing food for the hungry, evidence for murder, inspiration for the working class, and a tip for a stripper, this twenty bucks touches the lives of many people, and in some way, changes the future of them all.
TV-Guide(tm)-Review ------------------- A twenty-dollar bill serves as a device to examine an unexpectedly inter-connected group sf people.
Tak Thoughts ------------ Yet again, a movie exploring an idea that I've wondered about ... what happens to that $20 I just changed? I had just assumed I'd never see or some into contact with a particular $20 again. Well, you've heard of the expression ".. keeps showing up like a bad penny?" Now we've got a $20 bill instead of a penny. Inflation I guess.
Initially when the twenty showed up in the presence of someone I'd already seen, I thought "Waita minit' here, do you expect me to believe that?" I put that aside and just decided to watch the movie.
After the show, I realized that the implausible re-occurrence of the $20 is what makes this movie work so well. It gives you a chance to identify with the characters. With so many characters and relatively short times with each, it is a real testimony to the screenwriters that they were able to engage my feelings. In particular I'm thinking of the article-in-the-wallet scene (no spoiler, so siree) between Emily and her mother.
My favorite scenes are with Christopher Lloyd and Steve Buscemi as thieves, followed closely the entire plot-line with the struggling writer played by Elisabeth Shue.
I went into this movie expecting to see a SLACKER-ish film with lots of characters passing briefly on-screen, never to be seen or thought of again. And although SLACKER was an interesting film (taken in moderation--I'm definitely OD'd at one willing and three captive viewings) it was boring. I didn't *care* about the characters. There wasn't much situational variety--generally one small group after another being accosted by a ranting loon. Instead, TWENTY BUCKS delivered an interesting and engaging movie with "main characters" that I cared about, and only the minor players serve to pass the buck. (I just *HAD* to put that in here somewhere. Sorry. -tak)
You may be tempted to get up and leave a little early (you can see the end coming, as two characters almost literally walk off into the sunset) but there *IS* another minute or so after the old fashioned "The End" script where the fate of the twenty is revealed.
Technical Notes: ----------------- I don't really like looking for technical stuff, it tends to get in the way of me watching the film. The technical stuff should operate in the background for the most part. And that's what happened with TWENTY BUCKS--no obvious "film effects" to interrupt your immersion in the story line. Which was just fine by me.
Talk with ScreenWriter Leslie Bohem: ------------------------------------ After the screening, the local promoter introduced the screenwriter, Leslie Bohem. He fielded questions from the more than half-full theatre that remained to hear him. His responses were elaborate, frank and informative. We stayed for about twenty minutes before they had to clear the theatre for the regular programming.
The script was originally written by Leslie's father, Endre Bohem, in 1935 (possibly the longest film in development). After it was accepted it was rewritten ten more times during the two-to-three year filming process. Most of the rewrites were not of the main plot, but better ways the twenty could move around.
This is his first screenplay that has made it to the SilverScreen, though he said he's written 35+ screenplays and was paid for 25 of them. He has other film credits. After some arm-twisting from the audience, he said they were mostly stuff in the horror genre--NIGHTMARE ON ELM STREET V (the one with the baby), and some others. He joked about liking to exploring the father-child relationship (which he does quite a bit in TWENTY BUCKS). He appeared sort of embarrassed that he worked in that genre, though not because he regretted the work, it seemed he didn't want us to hold it against him.
The movie was produced on a smallish budget (he jokingly said "... 1/3 the budget of DEMOLITION MAN ..."). He was amazed at the quality of the actors they were able to attract. "They all worked cheap." Many of the actors were particularly drawn to the roles, especially Linda Hunt, who relished her role as the street-person.
He had not seen RESERVOIR DOGS, nor did he have any real say in the casting. So the irony in Steve Buscemi's (Mr Pink, the "professional") role is particularly good.
Christopher Lloyd's thief character was written as being extremely pragmatic, but Bohem was pleased that the character turned sinister as well.
The only scene that remained constant through the two-to-three years of intensive rewrites was the thieving scene. This scene is Leslie's favorite and was written by Leslie over a twelve-hour period and is essentially unchanged.
Much of the film has real life incidents from the life of Leslie's father and co-writer, Endre Bohem. These include the immigration story, the bubble-gum thing, and the story-in-the-wallet.
In response to a question about gratuitous nudity in the bachelor party scene, he said that he didn't remember if he'd written it in to be gratuitous or not (but he has no qualms about telling us if he did). The scene was written primarily to show the embarrassment and awkwardness of such activities. He remembers writing mainly to show one character's (Buddha) bluster turn to embarrassment when dealing with the stripper alone.
This movie only opens in selected areas (San Francisco, Seattle and New York) so if you're lucky enough to live in these areas go see this movie. The local promoter and Leslie Bohem both indicated that its wider distribution depends on good box office performance and reviews. It certainly has my blessing.
Principal Crew -------------- Director Keva Rosenfeld Screen Writer Leslie Bohem Endre Bohem Producer Karen Murphy (THIS IS SPINAL TAP, DRUGSTORE COWBOY) Director of Photography Emanuel Lubezki (LIKE WATER FOR CHOCOLATE) Production Designer Joseph T Garrity (SON-IN-LAW, THE FIRST POWER) Editor Michael Ruscio (FREEJACK, STARFISH) Music David Robbins (TOO MUCH SUN, LOVE & VENUS)
Principal Cast --------------
Diane Baker Mrs. Adams (THE SILENCE OF THE LAMBS, THE PRIZE) Steve Buscemi Frank (RESERVOIR DOGS, BILLY BATHGATE) Brendan Fraser Sam (ENCINO MAN, SCHOOL TIES) Matt Frewer Chuck (MAX HEADROOM, HONEY I SHRUNK THE KIDS) Spalding Gray The Priest (SWIMMING TO CAMBODIA) Linda Hunt Angeline (THE YEAR OF LIVING DANGEROUSLY) Sam Jenkins Anna Holiday (DARKMOOR KNIGHT OF THE WARRIOR) Gladys Knight Mrs McCormac (GLADYS KNIGHT AND THE PIPS) Christopher Lloyd Jimmy (BACK TO THE FUTURE, ADDAMS FAMILY) William H Macy Property Clerk (RADIO DAYS, BENNY & JOON) George Morfogen Jack Holiday (THE FRONT, DAISY MILLER) Elisabeth Shue Emily Adams (KARATE KID, COCKTAIL, HEART & SOULS) Concetta Tomei Sam's Mother (DON'T TELL MOM THE BABYSITTER'S DEAD) Melora Walters The Stripper (DEAD POET'S SOCIETY, RUDE AWAKENINGS)
ratings: avoid at all costs watch it on cable wait for videotape see once as a matinee see several times (w/friends) as matinee see once at full price X see it several times - full and/or matinee see many times at full price
.
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
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Create sortable list
| Name | Type | Description | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
element |
HTMLElement | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
options |
object |
optional
|
Fires:
- event:pickup
- event:order
- event:add
- event:remove
- event:update
- event:delete
- event:copy
- event:maximum-remove
- event:order-pending
- event:add-pending
- event:remove-pending
- event:add-remove-pending
- event:update-pending
- event:delete-pending
- event:copy-pending
- event:maximum-remove-pending
- event:clicked
Members
-
the global defaults for new Sortable objects
Methods
-
create multiple sortable elements
Name Type Description elements
Array.<HTMLElements> options
object see constructor for options
-
add an element as a child of the sortable element; can also be used to swap between sortables NOTE: this may not work with deepSearch non-ordered elements; use attachElement instead
Name Type Description element
HTMLElement index
number -
attaches an HTML element to the sortable; can also be used to swap between sortables NOTE: you need to manually insert the element into this.element (this is useful when you have a deep structure)
Name Type Description element
HTMLElement -
removes all event handlers from this.element and children
-
removes all events from an HTML element NOTE: does not remove the element from its parent
Name Type Description element
HTMLElement
Type Definitions
-
Options for Sortable
Properties:
Name Type Argument Default Description options.name
string <optional>
sortable dragging is allowed between Sortables with the same name
options.dragClass
string <optional>
if set then drag only items with this className under element; otherwise drag all children
options.orderClass
string <optional>
use this class to include elements in ordering but not dragging; otherwise all children elements are included in when sorting and ordering
options.deepSearch
boolean <optional>
if dragClass and deepSearch then search all descendents of element for dragClass
options.sort
boolean <optional>
true allow sorting within list
options.drop
boolean <optional>
true allow drop from related sortables (doesn't impact reordering this sortable's children until the children are moved to a differen sortable)
options.copy
boolean <optional>
false create copy when dragging an item (this disables sort=true for this sortable)
options.orderId
string <optional>
data-order for ordered lists, use this data id to figure out sort order
options.orderIdIsNumber
boolean <optional>
true use parseInt on options.sortId to properly sort numbers
options.reverseOrder
string <optional>
reverse sort the orderId
options.offList
string <optional>
closest how to handle when an element is dropped outside a sortable: closest=drop in closest sortable; cancel=return to starting sortable; delete=remove from all sortables
options.maximum
number <optional>
maximum number of elements allowed in a sortable list
options.maximumFIFO
boolean <optional>
whether to use first-in-first-out (or last-in-first-out) to choose which item to remove when maximum is reached
options.cursorHover
string <optional>
grab -webkit-grab pointer use this cursor list to set cursor when hovering over a sortable element
options.cursorDown
string <optional>
grabbing -webkit-grabbing pointer use this cursor list to set cursor when mousedown/touchdown over a sortable element
options.threshold
number <optional>
10 minimum movement distance in pixels before calculating a movement
options.useIcons
boolean <optional>
true show icons when dragging
options.icons
object <optional>
default set of icons
Properties
Name Type Argument Description reorder
string <optional>
move
string <optional>
copy
string <optional>
delete
string <optional>
options.customIcon
string <optional>
source of custom image when over this sortable
Events
-
fires when an element is added to this sortable
Properties:
Name Type Description element
HTMLElement added
sortable
Sortable where element was added
-
fires when element is added but not dropped yet
Properties:
Name Type Description element
HTMLElement being dragged
current
Sortable sortable with element placeholder
-
fires when element is removed after being temporarily added
Properties:
Name Type Description element
HTMLElement being dragged
current
Sortable sortable with element placeholder
-
fires when an element is clicked without dragging
Properties:
Name Type Description element
HTMLElement clicked
sortable
Sortable where element is a child
-
fires when a copy of an element is dropped
Properties:
Name Type Description element
HTMLElement removed
sortable
Sortable where element was dragged from
-
fires when a copy of an element is about to drop
Properties:
Name Type Description element
HTMLElement removed
sortable
Sortable where element was dragged from
-
fires when an element is removed from all sortables
Properties:
Name Type Description element
HTMLElement removed
sortable
Sortable where element was dragged from
-
fires when an element is about to be removed from all sortables
Properties:
Name Type Description element
HTMLElement removed
sortable
Sortable where element was dragged from
-
fires when an element is removed because maximum was reached for the sortable
Properties:
Name Type Description element
HTMLElement removed
sortable
Sortable where element was dragged from
-
fires when an element is about to be removed because maximum was reached for the sortable
Properties:
Name Type Description element
HTMLElement removed
sortable
Sortable where element was dragged from
-
fires when a sortable is reordered
Properties:
Name Type Description element
HTMLElement that was reordered
sortable
Sortable where element was placed
-
fires when order was changed but element was not dropped yet
Properties:
Name Type Description element
HTMLElement being dragged
current
Sortable sortable with element placeholder
-
fires when an element is picked up because it was moved beyond the options.threshold
Properties:
Name Type Description element
HTMLElement being dragged
current
Sortable sortable with element placeholder
-
fires when an element is removed from this sortable
Properties:
Name Type Description element
HTMLElement removed
sortable
Sortable where element was removed
-
fires when element is removed but not dropped yet
Properties:
Name Type Description element
HTMLElement being dragged
current
Sortable sortable with element placeholder
-
fires when the sortable is updated with an add, remove, or order change
Properties:
Name Type Description element
HTMLElement changed
sortable
Sortable with element
-
fires when an element is added, removed, or reorder but element has not dropped yet
Properties:
Name Type Description element
HTMLElement being dragged
current
Sortable sortable with element placeholder


Media Compressor
Video Compressor
Image Compressor
Video Compressor
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Ohio has booked its ticket to Cleveland.
With their win over Eastern Michigan on Feb. 25, the Bobcats are one of the eight teams that have qualified for the Mid-American Conference Tournament. Unlike previous seasons, only the top eight teams in the conference will qualify, and every game will be played in the Rocket Mortgage FieldHouse.
Bobcats coach Jeff Boals anticipates the three-day tournament to be a free-for-all. Even teams at the top of the conference have slipped up against teams they were predicted to beat. Ball State, who clinched the final spot in the tournament on a 7-8 record, has beaten MAC leader Toledo by 14 points.
“Whoever you play is gonna be good,” Boals said. “And when you get to that point, your margin for error is smaller. I think from that standpoint, whoever we play is going to be good.”
All eight teams made it to the MAC Tournament for a reason, so The Post broke down how each qualifying team stacks up in the week before they travel to Cleveland:
TOLEDO
The Rockets are almost untouchable. A 14-4 conference record maintained by a roster boasting the second-best offense and defense in the conference is going to be a tough nut for any team to crack. Their worst loss to a MAC team was a 14-point upset by Ball State. They lost the other two games by seven points or fewer.
Marreon Jackson has been a pain for any team to defend against this season. Toledo’s star guard averages 17.5 points per game and leads the Rockets in assists and steals. Spencer Littleson carries the Rockets behind the arc with a 48.4 3-point percentage, the best in the MAC.
Toledo was picked to finish sixth in the conference in the MAC Preseason Coaches’ Poll and has proven that prediction flat wrong.
AKRON
The Zips have lived up to expectations this season. They are old, experienced and effective. Senior guard Loren Crisitan Jackson leads the MAC with 21.4 points per game, with 30+ point games against both Kent State and Toledo. Enrique Freeman totes 8.8 rebounds per game, placing him second in the conference and raising the Zips’ chances to run up the score.
Akron has also beaten six of the seven other qualifying teams at least once, which provides it with valuable insight. It has firsthand experience with every team and knows what it needs to do to advance.
KENT STATE
The Golden Flashes, much like Toledo, have surpassed expectations this season. They were predicted to finish seventh in the MAC and now sit tied with Akron for second in the standings.
While Kent State’s offense straddles the middle of the road in the conference, their No. 1 defense more than makes up for it. Its 40 rebounds per game is the second best in the MAC, beaten out by Buffalo by almost four.
The white whales evading the Golden Flashes this season are wins over Toledo and Akron. They have been beaten in every meeting by both teams, which doesn’t spell well for them if they were to advance in the MAC Tournament.
BUFFALO
Buffalo will be entering the MAC Tournament with one thing most of the competition is lacking: depth. Four of its players rank in the top 25 MAC scoring leaders, the most of any team in the tournament. It also has the most productive offense in the conference, averaging 82.9 points per game.
The strength of the Bulls roster centers around Josh Mballa, who leads both the Bulls and the MAC in rebounds, and cracks the conference’s top 15 in scoring and field goal percentage.
A deep and capable Buffalo offense blew out Ohio 86-66 on Saturday, days after Ohio had beaten both Akron and Eastern Michigan by a combined 36 points. It can strike fear into even the best defense in the MAC, and that might be Buffalo’s key to success.
OHIO
Ohio has spent its entire season proving it has more to show than it lets on.
It first took then-No. 8 Illinois to the buzzer the day after Thanksgiving, and it was then revealed Ohio wasn’t the wishy-washy team it was in previous seasons. Jason Preston and Ben Vander Plas had grown into their roles as starters, and transfer Dwight Wilson III provided a necessary presence in the paint.
After a heated loss to Kent State on Jan. 16, the Bobcats went on a six-game win streak that was briefly interrupted by a COVID-19 lockdown. Due to the lockdown, they were forced to play three rescheduled games over five days, which wore them down enough for Buffalo to snap their streak Feb. 27.
Despite the loss, Ohio is in a decent position for the tournament. If it can pull off a win against Bowling Green in its final game of the regular season, it will enter Cleveland on the upswing.
BOWLING GREEN
2020-2021 has been a tough season for the Falcons. They were predicted to finish first in the conference, but a six-game crash through January and February sent them crashing through the floor.
However, it seems to have rebounded from its skid and fanagled four straight wins heading into the final week of the regular season. Justin Turner has scored double digits in every single game this season, cementing him as one of the most offensively capable players in the conference.
Alongside Turner, Daeqwon Plowden has averaged 12.1 points per game in his senior season and has the best field goal percentage among Falcons who have played in all 23 games. Bowling Green may have hit a bump on the road, but its trip to Cleveland might not end so quickly.
MIAMI
The RedHawks don’t have the firepower other teams will bring to Cleveland. They average a meager 72.2 points per game, worse than even Central Michigan, who has won six games this season.
But that’s just the thing. Offense isn’t the key.
Miami’s strength lies in its defense. It has allowed 71.1 points per game, which has won it games against Bowling Green and Ball State. The margin for error is slim, but Miami might be able to pull off an upset if the defense holds on.
BALL STATE
The Cardinals are the only team this season to have earned a spot in the tournament with a record below .500, but it's the wins that make them a wild card.
Ball State has taken down Toledo, Kent State and Bowling Green this season. Senior guard Ishmael El-Amin has averaged 16.2 points per game this season and put up 33 points against Central Michigan on Feb. 27. If Ball State has any chance of a postseason surge, El-Amin will be the spearhead.
Unpredictability is what makes basketball tournaments interesting, and Ball State has a chance to become the MAC’s Cinderella story.


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