Benchmarking with sysbench
Why, When, How?
Benchmark shows the difference between should and does. Coupled with monitoring it’s a great tool to identify bottlenecks.
As to when: whenever we can, as long as the system is production. A good benchmark will stress the server so we don’t want users affected. Right after provisioning a server, during a maintenance window, before and after any major changes, these are all good opportunities to take advantage of a few precious minutes of calm to run some tests.
We should try to mimic as best as possible the behaviour of the software we have. Is it single or multithreaded? Is it on more CPU bound or disk IO bound. Does it access data randomly or sequentially? Does it manage data on fixed-size blocks?
Introducing Sysbench
Sysbench is a popular benchmark tool that is available for linux, mac and can even run on windows (with it’s subsystem for linux). It ships with tests for the OS and databases. It is extensible and scriptable, so writing our own tests is possible.
If you are running linux, it’s most likely available in your distribution repository. Otherwise head to sysbench’s github for instructions.
Getting Started
The general syntax is:
sysbench <testname> <action> [test-specific options]
Sysbench has quite a few options, but help a few keystrokes away. To get to the general help:
sysbench --help
And for the specific test use:
sysbench <testname> help
Some tests have a prepare and cleanup action, some also have an optional warmup action, others can be run directly.
The Test Loop
All tests have a common structure, the requested number of worker threads are created, each one will run its own test loop, each iteration of the loop is called an event and can have any number of operations. Sysbench keeps counters on all events across all threads.
When it’s done, we get the statistics for all events. Under latency we can see the average event duration. These values are common to all tests.
...
General statistics:
total time: 10.0014s
total number of events: 32479
Latency (ms):
min: 1.11
avg: 2.46
max: 41.95
95th percentile: 11.24
sum: 79934.27
Threads fairness:
events (avg/stddev): 4059.8750/59.44
execution time (avg/stddev): 9.9918/0.01
On multithreaded tests we want that events are distributed fairly among all threads, i.e. all threads should execute approximately the same number of events. This is shown under fairness, the stddev (standard deviation) should be small in relation to the average.
Most of the benchmarks will run for a specified time or until a certain condition is met. The default time limit is 10 seconds, but we can
change that using --time
. Alternatively we can set a limit number of --events
.
Testing Your CPUs
In this first test we’ll torture the CPUs by computing prime numbers.
Each single event will check prime numbers up to the provided --cpu-max-prime
.
The higher this value is, the longer it takes an event to end.
I usually like to start with single threadetest. I try to find a --cpu-max-prime
that will take at least a few seconds to complete.
# sysbench cpu test, single event
-> sysbench cpu run --threads=1 --events=1 --cpu-max-prime=8000000
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Running the test with following options:
Number of threads: 1
Initializing random number generator from current time
Prime numbers limit: 8000000
Initializing worker threads...
Threads started!
CPU speed:
events per second: 0.09
General statistics:
total time: 11.2315s
total number of events: 1
Latency (ms):
min: 11231.45
avg: 11231.45
max: 11231.45
95th percentile: 11317.84
sum: 11231.45
Threads fairness:
events (avg/stddev): 1.0000/0.00
execution time (avg/stddev): 11.2314/0.00
With a suitable max prime number found, the next step is to run a longer test.
# sysbench cpu, single thread
-> sysbench cpu run --threads=1 --time=60 --cpu-max-prime=8000000
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Running the test with following options:
Number of threads: 1
Initializing random number generator from current time
Prime numbers limit: 8000000
Initializing worker threads...
Threads started!
CPU speed:
events per second: 0.09
General statistics:
total time: 67.5691s
total number of events: 6
Latency (ms):
min: 11217.78
avg: 11261.48
max: 11302.15
95th percentile: 11317.84
sum: 67568.87
Threads fairness:
events (avg/stddev): 6.0000/0.00
execution time (avg/stddev): 67.5689/0.00
On average, it took 11.261 seconds to calculate primes up to our limit. A lower average is better, since it means the CPU takes less time to reach the same point. For the same reason, a higher value in events per second is better.
If we are going to run multithreaded applications we need to run another test with an appropiate number --threads
.
For example in a system with 4 cores with hyperthreading this is a good starting point.
# cpu test, 8 threads
-> sysbench cpu run --threads=8 --time=60 --cpu-max-prime=8000000
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Running the test with following options:
Number of threads: 8
Initializing random number generator from current time
Prime numbers limit: 8000000
Initializing worker threads...
Threads started!
CPU speed:
events per second: 0.29
General statistics:
total time: 82.1154s
total number of events: 24
Latency (ms):
min: 26514.20
avg: 27212.58
max: 28103.35
95th percentile: 27846.48
sum: 653101.88
Threads fairness:
events (avg/stddev): 3.0000/0.00
execution time (avg/stddev): 81.6377/0.36
Testing Your Memory
For memory we can test either write or read speeds, the mode is selected with --memory-open
.
We can choose between sequential (seq) and random (rnd) access modes with --memory-access-mode
.
This benchmark has a special stop condition: --memory-total-size
. Bear in mind, this isn’t the total size allocated in RAM.
# memory, no time limit, stop on 100GB written
-> sysbench memory run --memory-total-size=100G --memory-open=write --memory-access-mode=rnd --time=0
WARNING: Both event and time limits are disabled, running an endless test
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Running the test with following options:
Number of threads: 1
Initializing random number generator from current time
Running memory speed test with the following options:
block size: 1KiB
total size: 102400MiB
operation: write
scope: global
Initializing worker threads...
Threads started!
Total operations: 104857600 (5010197.95 per second)
102400.00 MiB transferred (4892.77 MiB/sec)
General statistics:
total time: 20.9272s
total number of events: 104857600
Latency (ms):
min: 0.00
avg: 0.00
max: 0.38
95th percentile: 0.00
sum: 10816.80
Threads fairness:
events (avg/stddev): 104857600.0000/0.00
execution time (avg/stddev): 10.8168/0.00
The latency is measured in milliseconds, it’s just to big of a unit for memory speeds so it’s not very useful here. But we can think of the MiB per seconds as the average speed.
If we have a service that work with fixed-size blocks, for example if plan to have a database,
we should set --memory-block-size
to match it.
# some memory tests for MySQL (page size is 16K)
sysbench memory run --threads=8 --memory-block-size=16K --memory-total-size=100G --memory-oper=write
sysbench memory run --threads=8 --memory-block-size=16K --memory-total-size=100G --memory-oper=read
Testing Your Disk I/O Speed
Before starting, we need to prepare a file or set of files to work on. We set the total space to allocate with --file-total-size
(which must be at least 2GB)
and how many files there will be in the set, the space will be split into even sized files.
We probably want to avoid caching the files in memory because we wouldn’t be measuring the true disk spee,
so it might me a good idea to include --file-extra-flags=direct
to bypass it.
It’s generally recommended, whenever possible, that allocated space is larger than the installed RAM, just in case caching is taking place in spite of our best efforts.
-> sysbench fileio prepare --file-num=10 --file-total-size=10G --file-extra-flags=direct
sysbench 1.0.15 (using system LuaJIT 2.0.5)
10 files, 1048576Kb each, 10240Mb total
Creating files for the test...
Extra file open flags: (none)
Creating file test_file.0
Creating file test_file.1
Creating file test_file.2
Creating file test_file.3
Creating file test_file.4
Creating file test_file.5
Creating file test_file.6
Creating file test_file.7
Creating file test_file.8
Creating file test_file.9
10737418240 bytes written in 45.15 seconds (226.78 MiB/sec).
prepare can reutilize previous test files, but it only can grow them, so we can only reuse test files if they are bigger or equal than before. Otherwise we must cleanup and prepare again.
Now we need to choose a --file-test-mode
:
- seqwr: sequential write
- seqrewr: sequential read+write
- seqrd: sequential read
- rndrd: random read
- rndwr: random write
- rndrw: random read write
# file read-write test
-> sysbench fileio run --file-num=10 --file-total-size=10G --file-test-mode=rndrw --file-extra-flags=direct --time=60
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Running the test with following options:
Number of threads: 1
Initializing random number generator from current time
Extra file open flags: directio
10 files, 1GiB each
10GiB total file size
Block size 16KiB
Number of IO requests: 0
Read/Write ratio for combined random IO test: 1.50
Periodic FSYNC enabled, calling fsync() each 100 requests.
Calling fsync() at the end of test, Enabled.
Using synchronous I/O mode
Doing random r/w test
Initializing worker threads...
Threads started!
File operations:
reads/s: 2388.59
writes/s: 1592.38
fsyncs/s: 398.14
Throughput:
read, MiB/s: 37.32
written, MiB/s: 24.88
General statistics:
total time: 60.0027s
total number of events: 262756
Latency (ms):
min: 0.06
avg: 0.23
max: 77.63
95th percentile: 0.39
sum: 59796.75
Threads fairness:
events (avg/stddev):<PHONE_NUMBER>/0.00
execution time (avg/stddev): 59.7967/0.00
As always, it’s a good idea to try to match as best as possible the disk IO activity for our application. We have some flexibility here with additional options:
--file-num
number of files [128]--file-block-size
block size [16384]--file-total-size
total size [2G]--file-test-mode
test mode: seqwr, seqrewr, seqrd, rndrd, rndwr, rndrw--file-io-mode
file operations mode: sync,async,mmap [sync]--file-async-backlog
number of asynchronous requests per thread [128]--file-extra-flags
list of additional flags to use to open files: sync,dsync,direct--file-fsync-freq
fsync() every N requests [100]--file-fsync-all
fsync() after each write [off]--file-fsync-end
fsync() at the end of test [on]--file-fsync-mode
method for sync: fsync, fdatasync [fsync]--file-merged-requests
max I/O request to merge [0]--file-rw-ratio
reads/writes ratio for combined test [1.5]
As an example, for a system destined to run a MySQL server we could try something like this.
# a test simulating MySQL file activity
sysbench fileio run --threads=8 --file-extra-flags=direct --file-test-mode=rndrw --file-num=10 --file-block-size=1M --file-block-size=16K
After running our tests, we need only to remove the work files with cleanup
-> sysbench fileio cleanup --file-num=10
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Removing test files...
Testing Mutexes
This benchmark is intended to test the speed for mutex locks (mutex stands for “mutual exclusion”). Which play an important role in multithreading. It simulates high concurrency, with threads acquiring and releasing locks all the time.
Sysbench creates an initial pool of --mutex-num
mutexes, then it starts the threads, which iterate over an empty loop, every --mutex-loops
the thread will
grab one random mutex from the pool, modify a global variable, and release it. Each event will acquire and release the mutexes until the --mutex-locks
value is reached.
Here --time
or --events
are completely ignored. Sysbench always runs one event per thread.
-> sysbench mutex run --threads=10
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Running the test with following options:
Number of threads: 10
Initializing random number generator from current time
Initializing worker threads...
Threads started!
General statistics:
total time: 0.8845s
total number of events: 10
Latency (ms):
min: 802.84
avg: 855.55
max: 873.81
95th percentile: 877.61
sum: 8555.51
Threads fairness:
events (avg/stddev): 1.0000/0.00
execution time (avg/stddev): 0.8556/0.02
Testing Threads
Here we have a test for the CPU scheduler. It can simulate high concurrency conditions, where multiple threads compete for mutexes.
Each thread will take --thread-locks
mutexes and yield the CPU. This causes the thread to stop running and is placed on the run queue by the scheduler.
Once the thread is again scheduled to run, the mutexes are released.
A single event will perform these actions --thread-yields
times, so the higher this number, the higher the concurrency placed on each mutex,
and the lower the number of events per second.
-> sysbench threads run --threads=4 --thread-yields=1000 --thread-locks=10
sysbench 1.0.15 (using system LuaJIT 2.0.5)
Running the test with following options:
Number of threads: 4
Initializing random number generator from current time
Initializing worker threads...
Threads started!
General statistics:
total time: 10.0005s
total number of events: 50754
Latency (ms):
min: 0.50
avg: 0.79
max: 14.37
95th percentile: 0.81
sum: 39980.48
Threads fairness:
events (avg/stddev): 12688.5000/54.38
execution time (avg/stddev): 9.9951/0.00
Related Links
- sysbench’s github: https://github.com/akopytov/sysbench
What’s Next?
Whew, that was a longer post than I intended and to think I only covered a part of it all.
There is still more to say about sysbench, check the second part where I deal with databases, so the fun is just starting.
So long.
Tomas


scalbn
, scalbnf
, scalbln
, scalblnf
—scale by power of FLT_RADIX (=2)#include <math.h> double scalbn(double x, int n); float scalbnf(float x, int n); double scalbln(double x, long int n); float scalblnf(float x, long int n);
Description
The scalbn
and scalbln
functions compute
x times FLT_RADIX to the power n.
efficiently. The result is computed by manipulating the exponent, rather than
by actually performing an exponentiation or multiplication. In this
floating-point implementation FLT_RADIX=2, which makes the scalbn
functions equivalent to the ldexp
functions.
Returns
Portability
See Also
ldexp


Deductive Logic
by George William Joseph Stock, M.A.
"The Three Fundamental Laws of Thought. (1) The Law of Identity-- Whatever is, is; or, in a more precise form, Every A is A. (2) The Law of Contradiction-- Nothing can both be and not be; Nothing can be A and not A. (3) The Law of Excluded Middle-- Everything must either be or not be; Everything is either A or not A."
In this treatise, English thinker George William Joseph Stock explains deductive logic.
Source: Stock, G. W. J. (1888). Deductive Logic. Oxford, England; Pembroke College.
- Preface
- Introduction
- Part 1: Chapter 1
- Part 1: Chapter 2
- Part 1: Chapter 3
- Part 1: Chapter 4
- Part 2: Chapter 1
- Part 2: Chapter 2
- Part 2: Chapter 3
- Part 2: Chapter 4
- Part 2: Chapter 5
- Part 2: Chapter 6
- Part 2: Chapter 7
- Part 2: Chapter 8
- Part 3: Chapter 1
- Part 3: Chapter 2
- Part 3: Chapter 3
- Part 3: Chapter 4
- Part 3: Chapter 5
- Part 3: Chapter 6
- Part 3: Chapter 7
- Part 3: Chapter 8
- Part 3: Chapter 9
- Part 3: Chapter 10
- Part 3: Chapter 11
- Part 3: Chapter 12
- Part 3: Chapter 13
- Part 3: Chapter 14
- Part 3: Chapter 15
- Part 3: Chapter 16
- Part 3: Chapter 17
- Part 3: Chapter 18
- Part 3: Chapter 19
- Part 3: Chapter 20
- Part 3: Chapter 20
- Part 3: Chapter 21
- Part 3: Chapter 22
- Part 3: Chapter 23
- Part 3: Chapter 24
- Part 3: Chapter 25
- Part 3: Chapter 26
- Part 3: Chapter 27
- Part 3: Chapter 28
- Part 3: Chapter 29
- Part 3: Chapter 30
- Exercises Part 1
- Exercises Part 2
- Exercises Part 3
- Year Published: 1888
- Language: English
- Country of Origin: England
-
Readability:
- Flesch–Kincaid Level: 11.0
- Word Count: 83,149
- Genre: Informational
- Keywords: math, math history


Using Python and AI to predict types of wine
I’ve been working with AI/Machine Learning at Jusbrasil recently, and it’s being pretty challenging due to the huge amount of data that we have to deal with, so cleaning this data and making predictions and classifications in an acceptable time demands a nice AI architecture.
That said I can say that I’m extremely thankful for a few technologies that are helping me go through this challenge (and the pain of cleaning this amount of data): Python, Scikit Learn, Pandas, and the whole stack that the Scikit Learn use, such as NumPy, SciPy, matplotlib and few others.
So, this inspired me to spread the word, so I’ll be showing here a simple example of Machine Learning using Python, Pandas and Scikit Learn to predict, given a great amount of data/features about wines, if a wine is white or red.
disclaimer: I’m assuming that you already have a small knowledge on the ideas of the machine learning and its mathematical aspects (although not necessary to implement the code that I’ll show here), this is just a simple introduction to scikit learn and its power, so the example is pretty simple and straight forward, if you just want the code, here it is: github link
What’s Pandas?
Pandas is an amazing library for data manipulation, it makes the process of dealing with data very easy and straight forward, we can work with CSV, JSON and plenty other formats without struggling to manipulate the data, give it five minutes and skim their docs, it will definitely worth it!
Fetching the data
Let’s start fetching the data with Pandas, (you can download the data here) to do so, just import Pandas and read the CSV file, just like that:
import pandas as pd
reds = pd.read_csv('winequality-red.csv', sep=';')
whites = pd.read_csv('winequality-white.csv', sep=';')
We can see how the data is structured by doing a few commands:
reds.values[0:6]
As output, we have the first 5 rows of the red wine’s data
array([[7.4, 0.7, 0.0, 1.9, 0.076, 11.0, 34.0, 0.9978, 3.51, 0.56, 9.4, 5],
[7.8, 0.88, 0.0, 2.6, 0.098, 25.0, 67.0, 0.9968, 3.2, 0.68, 9.8, 5],
[7.8, 0.76, 0.04, 2.3, 0.092, 15.0, 54.0, 0.997, 3.26, 0.65, 9.8, 5],
[11.2, 0.28, 0.56, 1.9, 0.075, 17.0, 60.0, 0.998, 3.16, 0.58, 9.8,6],
[7.4, 0.7, 0.0, 1.9, 0.076, 11.0, 34.0, 0.9978, 3.51, 0.56, 9.4, 5],
[7.4, 0.66, 0.0, 1.8, 0.075, 13.0, 40.0, 0.9978, 3.51, 0.56, 9.4, 5]],
dtype=object)
Or we just use a function from Pandas that describe very well our data
reds.head()
<class 'pandas.core.frame.dataframe'="">Int64Index: 5 entries, 0 to 4
Data columns:
fixed acidity 5 non-null values
volatile acidity 5 non-null values
citric acid 5 non-null values
residual sugar 5 non-null values
chlorides 5 non-null values
free sulfur dioxide 5 non-null values
total sulfur dioxide 5 non-null values
density 5 non-null values
pH 5 non-null values
sulphates 5 non-null values
alcohol 5 non-null values
quality 5 non-null values
dtypes: float64(11), int64(1), object(1)</class>
Understanding our data
Matplotlib gives you many ways to plot our data into graphs so we can understand what is going on with the data so we can choose the best model/algorithm for the given scenario,
For instance, let’s take a look at the relation between the red wines and its fixed acidity
x = plt.subplots(figsize=(10, 5))
plt.plot(reds.index, reds.get("fixed acidity"), 'ro')
ax.set_title('Wines vs fixed acidity')
ax.set_xlabel('red wine index')
ax.set_ylabel('Fixed Acidity')
plt.show()
Preparing the Data for classification
Now we’re going to add a new feature/variable to our data, which is our target variable, the Y, that will be telling if the wine from our dataset is white or red
reds['kind'] = 'red'
whites['kind'] = 'white'
We need to get all of our feature into a vector called X, that will be set into our algorithm, right? And, we need to get all our targets (white or red) and set into a Y variable
wines = reds.append(whites, ignore_index=True)
X = wines.ix[:, 0:-1]
y = wines.kind
Notice that we’re merging both datasets together, the one with the red wines and the one with the white wines, so we can send them together to the algorithm. Now we’re going to binarize the labels ‘white’ and ‘red’, so the mathematical model can use it. It’s pretty simple
y = y.apply(lambda val: 0 if val == 'white' else 1)
The algorithm
Now that we have our data well structured and we do understand it, we can start looking for an algorithm to use. A good algorithm for our scenario is a simple Logistic Regression, that will return a model that we’ll use to make our predictions/classification. The mathematical linear model that will use is the following:
In addition with the loss function defined by the logistic loss
The Scikit learn provides an awesome library with an amazingly ease of use, so that we don’t have to implement the whole model from scratch. All we have to do is create a object from the model we want to use, understand how it works (at least understand how to use its interface to do what we want). In this case, we will be using the cross validation object, which is another discussion for another time, but in a few words, it will divide our dataset and test it against all parts of the divided dataset, this way we make sure that we’re validating the quality of the result.
clf = LogisticRegression()
scores = cross_val_score(clf, X, y, cv=5)
print scores.mean(), scores.std()
And as the result we get:
0.981376321334 0.00638795038332
And that’s the exactly the precision of the algorithm over the given dataset, 98% of precision, which is quite good! Now, for example, we can save this trained classifier and use it for future classifications of incoming data about wines that need to be classified as white or red, to do so, we just call the method clf.predict(X) where this X will be the new wine’s data. simplicity at its best!


Travel Lofoten
Lofoten Islands, Norway
About
History
Cuisine
Aurora Borealis
Bookings
Hotels
Flights
Excursions


Duration
10 minutes
Goals
The goal of this lab is to have the UI update automatically when Resource values change.
Required assets
The provided Resources folder for this exercise contains a subfolder named Complete with a solution you can use to check your work.
This lab is a continuation of the previous one. If you did not complete the previous exercise, you can use the Completed solution from the previous exercise as starter code for this exercise.
Challenge
You can use the high-level description here to work through the lab on your own. Alternatively, you can use the instructions below if you would like step-by-step guidance.
-
Open the StandardTipPage.xaml.cs file in the TipCalculator project. Modify the two button-click handlers that implement the color schemes so they update the
bgColor
andfgColor
Resources in the page's resource dictionary instead of loading colors into the controls. - Open the StandardTipPage.xaml. Modify the XAML so the UI will update automatically when the Resource color values change.
Steps
Below are the step-by-step instructions to complete the exercise.
Update Resources from code
Here you will write code that updates a few resources stored in a page's Resource Dictionary.
- Open the TipCalculator project.
- Open StandardTipPage.xaml.cs.
-
Locate the
OnLight
method and remove all the existing code inside it. Add two new lines of code so the method sets thefgColor
Resource in the page'sResources
dictionary to#606060
and thebgColor
resource to#c0c0c0
. You can use the staticColor.FromHex
method to easily convert the hex string into aColor
. -
Repeat the previous step for the
OnDark
method but reverse the colors (i.e. setfgColor
to#c0c0c0
andbgColor
to#606060
). - Run the app on a platform of your choice. Click on the "Dark" and "Light" buttons. The UI will not update. You are changing the Resource value in the dictionary; however, the new value is not being propagated to your UI controls.
Update the UI Dynamically
Here, you will modify your XAML so updated Resource values are loaded into your UI.
- Open StandardTipPage.xaml.
-
Locate all of the places that you assign colors from Resource values.
Replace the use of the
StaticResource
markup extension withDynamicResource
. - Run the app on a platform of your choice. Click on the "Dark" and "Light" buttons. The UI will now update correctly.
Summary
Here you replaced the hardcoded static resources with dynamic resources. Your UI now updates automatically as Resource values change. Use of dynamic resources incurs a small amount of additional runtime overhead but can yield clean code that is relatively easy to maintain.


Although this might be intended, such a construct is most likely an error, and will
result in a java.lang.ClassCastException
at runtime.
Example:
interface A {}
interface Z {}
static class C {}
void x(C c) {
if (c instanceof Z) {
A a = ((A)c); // cast to incompatible interface 'A'
}
}


Input your wallet address below ( Do not input the same wallet address used to deposit into your mining wallet).
Balance: $ 50 BTC
Balance: $ 100 USD
Withdrawal History
| Currency | Wallet Address | Amount | Date | Status |
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Complete your KYC document upload to use full system features Upload docs
Input your wallet address below ( Do not input the same wallet address used to deposit into your mining wallet).
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SDB(1) | CSNOBOL4B 2.2 | December 5, 2020
NAME
sdb – SNOBOL4 debugger
SYNOPSIS
sdb [ options . . . ] program.sno
DESCRIPTION
sdb is a debugger for snobol4(1) programs, in the mold (clawning
fone) of gdb(1), The GNU debugger. sdb(1) uses readline(3)
for command line editing/history when available.
Commands
-
break LABEL_OR_STATEMENT_NUMBER
-
Set a breakpoint.
-
bt
-
Display call stack back trace.
-
commands BREAKPOINT_NUMBER
-
Add sdb commands to execute (ie; print & continue) to a breakpoint.
-
condition BREAKPOINT_NUMBER [ EXPR ]
-
If EXPR is supplied, it is used as a predicate to make the
breakpoint conditional, if no EXPR is supplied, any previous condition
is removed.
-
continue [ COUNT ]
-
Continue from breakpoint. The optional count specifies how many times
to continue past this breakpoint (sets ignore count).
-
delete [ BREAKPOINT_NUMBER ]
-
Delete a single breakpoint, or all breakpoints.
-
disable [ BREAKPOINT_NUMBER ]
-
Temporarily disable a breakpoint, or all breakpoints.
-
enable [ BREAKPOINT_NUMBER ]
-
Re-enable a breakpoint, or all breakpoints.
-
finish
-
Resume debugging after current function returns.
Will display function return type and value, if any.
-
help
-
Display help.
-
ignore BREAKPOINT_NUMBER [ COUNT ]
-
Set (or clear) breakpoint ignore count.
-
info
-
Display list of breakpoints and their status.
-
list [ LABEL_OR_STATEMENT_NUMBER ]
-
Display source code.
-
next [ COUNT ]
-
Single step execution, skipping over function calls.
-
print EXPRESSION
-
Evaluate expression and print result. Can be used to call functions,
or set variables.
-
quit
-
Exit debugger.
-
run
-
Restart program (works by saving breakpoints and restarting snobol4).
New in version 2.1, some restrictions may apply.
-
save FILENAME
-
Save breakpoints to file.
-
source FILENAME
-
Read sdb commands from file.
-
step [ COUNT ]
-
Single step.
-
watch VARIABLE
-
Set watchpoint on a variable (break when value changes).
-
what EXPRESSION
-
Display the datatype of expression.
-
where
-
An alias for bt.
A blank line repeats the previous command.
Non-ambiguous abbreviations of commands can be used (ie; s, n).
The GNU Readline library (when available) will be used for sdb(1)
input for command editing and history.
The keyboard interrupt character (eg; Control-C) will stop a running
program and return control to the sdb(1) command prompt.
If your program calls the SDB() function, it will act as a
breakpoint. You can check whether sdb(1) is loaded with the
FUNCTION() predicate, ie;
FUNCTION('SDB') SDB()
FILES
-
~/.sdbinit
-
initial command file, read on startup.
-
.sdb_history
-
saved command history
-
/tmp/sdb_listing.pid
-
temporary listing file for sdb.sno to read
-
/tmp/sdb_bkpts.pid
-
temporary breakpoint save file for "run" command
SEE ALSO
snobol4(1), gdb(1), readline(3), snobol4readline(3)
AUTHOR
Philip L. Budne
Inspired by Fred Weigel's DDT.SNO and SITBOL's SNODDT.
LIMITATIONS
sdb(1) uses a wide variety of system facilities and will interact
poorly with any programs that use any number of features, including:
-
Altering listing settings with directive/control lines.
-
Altering &STLIMIT, &ERRLIMIT, or &TRACE.
-
Calling SETEXIT()
BUGS
If you try to put a breakpoint on a label or line with no code or goto
fields, the breakpoint will never be triggered.
You cannot put a breakpoint on the END label (however control
always returns to sdb when the END label is reached).
Interrupt character trapping is in it's infancy, and only occurs at
the start of a each statement executed.
The interrupt character is silently ignored when at the sdb command
prompt.
Leaves an unprotected listing file of the sources in the /tmp directory
(create a protected directory?).
“quit” and “run” commands say program is running even if first
line of the program has not yet been executed!
Some fatal errors cannot be trapped, and sdb will be terminated.


Interviewing stakeholders in the company to understand business need Creating wireframes and mockup to demonstrate the experience
Margaret uses Powtoon to create presentations for her class, as she thinks it's a great way to engage her classroom. She doesn't have much exports - only the presentations she needs for her lessons. She would export to Powtoon website if it is cheaper.
Rachel uses Powtoon to prepare presentations when she wants to impress her audience, prefering it to PowerPoint. She makes an export a week, depends on the meetings she has. She cares much about the final quality of her exports. She would export to Powtoon website if it is cheaper.
Ben encounterd Powtoon in school and started using it for school assignments. Later on he started using PowToon for fun - to make funny videos and share them on his blog. He makes few exports a week. He prefers exporting to YouTube, so he can embed the link in his blog
The initial screen shows different options of publishing, with the publish free on Powtoon website as most prominent
If the YouTube option is selected, the publishing process is longer and the first step is selecting the account to publish to
The quality of the video will determine the time of the export


Before Change
assert result["label_probs"][2] > 0.7 // neutral
def test_coreference_resolution(self):
predictor = Predictor.from_archive(load_archive(DEFAULT_MODELS["coreference-resolution"]),
"coreference-resolution")
document = "We "re not going to skimp on quality , but we are very focused to make next year . The only problem is that some of the fabrics are wearing out - since I was a newbie I skimped on some of the fabric and the poor quality ones are developing holes . For some , an awareness of this exit strategy permeates the enterprise , allowing them to skimp on the niceties they would more or less have to extend toward a person they were likely to meet again ."
result = predictor.predict_json({"document": document})
assert result["clusters"] == [[[0, 0], [10, 10]],
After Change
assert result["label_probs"][2] > 0.7 // neutral
def test_coreference_resolution(self):
predictor = DEFAULT_MODELS["coreference-resolution"].predictor()
document = "We "re not going to skimp on quality , but we are very focused to make next year . The only problem is that some of the fabrics are wearing out - since I was a newbie I skimped on some of the fabric and the poor quality ones are developing holes . For some , an awareness of this exit strategy permeates the enterprise , allowing them to skimp on the niceties they would more or less have to extend toward a person they were likely to meet again ."
result = predictor.predict_json({"document": document})


public class SiteManagerTest
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
(package private) java.lang.String |
expectedEmail |
(package private) java.lang.String |
expectedFirstName |
(package private) java.lang.String |
expectedGroupDescription |
(package private) java.lang.String |
expectedGroupTitle |
(package private) java.lang.String |
expectedLastName |
(package private) java.lang.String |
expectedScreenName |
(package private) java.time.LocalDateTime |
ldt |
| Constructor and Description |
|---|
SiteManagerTest() |
| Modifier and Type | Method and Description |
|---|---|
(package private) void |
testAddGroup()
This method should test that a SiteManager adds a group to its internal
list of groups and returns true.
|
(package private) void |
testAddGroupAlreadyExists()
This method should test that a SiteManager adds a group to its internal
list of groups and returns true.
|
(package private) void |
testAddMember()
This method should test that a SiteManager adds a member to its internal
list of members and returns true.
|
(package private) void |
testAddMemberAlreadyExists()
This method should test that a SiteManager adds a group to its internal
list of groups and returns true.
|
(package private) void |
testGetActiveGroups()
This method should test that a SiteManager returns a list of the n groups
who have the most activeness (questions asked + answers posted),
sorted on activeness, highest first.
|
(package private) void |
testGetActiveGroupsNGreaterThanTotalGroups()
This method should test that a SiteManager returns a list of all groups,
sorted on activeness, highest first.
|
(package private) void |
testGetActiveMember()
This method should test that a SiteManager returns a list of the n members
who have the most activeness (questions asked + answers posted),
sorted on activeness, highest first.
|
(package private) void |
testGetActiveMemberNGreaterThanTotalMembers()
This method should test that a SiteManager returns a list of all members,
sorted on activeness, highest first.
|
(package private) void |
testGetGroup()
This method should test that a SiteManager returns a specific group
given the title of that group.
|
(package private) void |
testGetGroupDoesNotExist()
This method should test that a SiteManager returns a null when there
is no group in the list of groups with the given title.
|
(package private) void |
testGetGroups()
This method should test that a SiteManager returns a list of all groups
in its internal list of groups, sorted on title.
|
(package private) void |
testGetGroupsByText()
This method should test that a SiteManager returns a list of all groups
in its internal list of groups where any part of the title or description
matches a particular string, sorted on title.
|
(package private) void |
testGetMember()
This method should test that a SiteManager returns a specific member
given the email address of that member.
|
(package private) void |
testGetMemberDoesNotExist()
This method should test that a SiteManager returns a null when there
is no member in the list of members with the given email address.
|
(package private) void |
testGetMembers()
This method should test that a SiteManager returns a list of all members
in its internal list of members, sorted on last name then first name.
|
(package private) void |
testGetMembersByText()
This method should test that a SiteManager returns a list of all members
in its internal list of members where any part of the first name, last name,
screen name, or email address matches a particular string, sorted on last name
then first name.
|
(package private) void |
testGetPopularGroups()
This method should test that a SiteManager returns a list of the n groups
with the highest number of members, sorted on number of members, highest
first.
|
(package private) void |
testGetPopularGroupsNGreaterThanTotalGroups()
This method should test that a SiteManager returns a list of all groups,
sorted on number of members, highest first.
|
java.time.LocalDateTime ldt
java.lang.String expectedFirstName
java.lang.String expectedLastName
java.lang.String expectedScreenName
java.lang.String expectedEmail
java.lang.String expectedGroupTitle
java.lang.String expectedGroupDescription
@Test void testAddGroup()
@Test void testAddGroupAlreadyExists()
@Test void testAddMember()
@Test void testAddMemberAlreadyExists()
@Test void testGetGroup()
@Test void testGetGroupDoesNotExist()
@Test void testGetGroups()
@Test void testGetGroupsByText()
@Test void testGetMember()
@Test void testGetMemberDoesNotExist()
@Test void testGetMembers()
@Test void testGetMembersByText()
@Test void testGetPopularGroups()
@Test void testGetPopularGroupsNGreaterThanTotalGroups()
@Test void testGetActiveGroups()
@Test void testGetActiveGroupsNGreaterThanTotalGroups()
@Test void testGetActiveMember()
@Test void testGetActiveMemberNGreaterThanTotalMembers()


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
Base topology class used to determine the personal and global best. More...
#include <ql/experimental/math/particleswarmoptimization.hpp>
Public Member Functions | |
| virtual | ~Topology ()=default |
| virtual void | setSize (Size M)=0 |
| initialize state for current problem More... | |
| virtual void | findSocialBest ()=0 |
| produce changes to PSO state for current iteration More... | |
Protected Attributes | |
| ParticleSwarmOptimization * | pso_ |
| std::vector< Array > * | X_ |
| std::vector< Array > * | V_ |
| std::vector< Array > * | pBX_ |
| std::vector< Array > * | gBX_ |
| Array * | pBF_ |
| Array * | gBF_ |
Private Member Functions | |
| void | init (ParticleSwarmOptimization *pso) |
Friends | |
| class | ParticleSwarmOptimization |
Base topology class used to determine the personal and global best.
This pure virtual base class provides the access to the PSO state which the particular topology algorithm will change upon each iteration.
Definition at line 318 of file particleswarmoptimization.hpp.
|
virtualdefault |
|
pure virtual |
initialize state for current problem
Implemented in GlobalTopology, KNeighbors, and ClubsTopology.
|
pure virtual |
produce changes to PSO state for current iteration
Implemented in GlobalTopology, KNeighbors, and ClubsTopology.
|
private |
Definition at line 331 of file particleswarmoptimization.hpp.
|
friend |
Definition at line 319 of file particleswarmoptimization.hpp.
|
protected |
Definition at line 327 of file particleswarmoptimization.hpp.
|
protected |
Definition at line 328 of file particleswarmoptimization.hpp.
|
protected |
Definition at line 328 of file particleswarmoptimization.hpp.
|
protected |
Definition at line 328 of file particleswarmoptimization.hpp.
|
protected |
Definition at line 328 of file particleswarmoptimization.hpp.
|
protected |
Definition at line 329 of file particleswarmoptimization.hpp.
|
protected |
Definition at line 329 of file particleswarmoptimization.hpp.


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s...
Saiba maisLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s...
Saiba maisLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s...
Saiba maisIt is a long established fact that a reader will be distracted by the readable content of a page...
Saiba mais


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nc, err := nats.Connect("demo.nats.io")
if err != nil {
log.Fatal(err)
}
defer nc.Close()
done := sync.WaitGroup{}
done.Add(1)
count := 0
errCh := make(chan error, 1)
msgAfterDrain := "not this one"
// This callback will process each message slowly
sub, err := nc.Subscribe("updates", func(m *nats.Msg) {
if string(m.Data) == msgAfterDrain {
errCh <- fmt.Errorf("Should not have received this message")
return
}
time.Sleep(100 * time.Millisecond)
count++
if count == 2 {
done.Done()
}
})
// Send 2 messages
for i := 0; i < 2; i++ {
nc.Publish("updates", []byte("hello"))
}
// Call Drain on the subscription. It unsubscribes but
// wait for all pending messages to be processed.
if err := sub.Drain(); err != nil {
log.Fatal(err)
}
// Send one more message, this message should not be received
nc.Publish("updates", []byte(msgAfterDrain))
// Wait for the subscription to have processed the 2 messages.
done.Wait()
// Now check that the 3rd message was not received
select {
case e := <-errCh:
log.Fatal(e)
case <-time.After(200 * time.Millisecond):
// OK!
}
Connection nc = Nats.connect("nats://demo.nats.io:4222");
// Use a latch to wait for a message to arrive
CountDownLatch latch = new CountDownLatch(1);
// Create a dispatcher and inline message handler
Dispatcher d = nc.createDispatcher((msg) -> {
String str = new String(msg.getData(), StandardCharsets.UTF_8);
System.out.println(str);
latch.countDown();
});
// Subscribe
d.subscribe("updates");
// Wait for a message to come in
latch.await();
// Messages that have arrived will be processed
CompletableFuture<Boolean> drained = d.drain(Duration.ofSeconds(10));
// Wait for the drain to complete
drained.get();
// Close the connection
nc.close();
// Drain subscription is not supported.
import asyncio
from nats.aio.client import Client as NATS
async def example(loop):
nc = NATS()
await nc.connect("nats://<IP_ADDRESS>:4222", loop=loop)
async def handler(msg):
print("[Received] ", msg)
await nc.publish(msg.reply, b'I can help')
# Can check whether client is in draining state
if nc.is_draining:
print("Connection is draining")
sid = await nc.subscribe("help", "workers", cb=handler)
await nc.flush()
# Gracefully unsubscribe the subscription
await nc.drain(sid)
# There is currently no API to drain a single subscription, the whole connection can be drained though via NATS.drain
let sub = await nc.subscribe('updates', (err, msg) => {
t.log('worker got message', msg.data);
}, {queue: "workers"});


Choir Book
We are currently developing a choir book for use at our parish, but we have only recently started.
Here is an EARLY DRAFT of the Choir Book: choir-book.pdf (Source)
Why use our own book and not simply buy another? First, we are a group of people with varying musical abilities who are trying to grow together as an ensemble and as individual singers and chanters. So, we have decided to embrace our idiosyncracies and use our own resources – really most are our original renderings, not our compositions – and we choose them to fit our particular needs.
By the way, we are developing this with lilypond. And we are still learning lilypond. To see other work we've done in lilypond, please visit the Misc page.


|
qLibc
|
Linked-list-table implementation. More...
Go to the source code of this file.
Functions | |
| qlisttbl_t * | qlisttbl (int options) |
| Create a new Q_LIST linked-list container. | |
| bool | qlisttbl_put (qlisttbl_t *tbl, const char *name, const void *data, size_t size) |
| qlisttbl->put(): Put an element to this table. | |
| bool | qlisttbl_putstr (qlisttbl_t *tbl, const char *name, const char *str) |
| qlisttbl->putstr(): Put a string into this table. | |
| bool | qlisttbl_putstrf (qlisttbl_t *tbl, const char *name, const char *format,...) |
| qlisttbl->putstrf(): Put a formatted string into this table. | |
| bool | qlisttbl_putint (qlisttbl_t *tbl, const char *name, int64_t num) |
| qlisttbl->putInt(): Put an integer into this table as string type. | |
| void * | qlisttbl_get (qlisttbl_t *tbl, const char *name, size_t *size, bool newmem) |
| qlisttbl->get(): Finds an object with given name. | |
| char * | qlisttbl_getstr (qlisttbl_t *tbl, const char *name, bool newmem) |
| qlisttbl->getstr(): Finds an object with given name and returns as string type. | |
| int64_t | qlisttbl_getint (qlisttbl_t *tbl, const char *name) |
| qlisttbl->getint(): Finds an object with given name and returns as integer type. | |
| qlisttbl_data_t * | qlisttbl_getmulti (qlisttbl_t *tbl, const char *name, bool newmem, size_t *numobjs) |
| qlisttbl->getmulti(): Finds all objects with given name and return a array of objects. | |
| void | qlisttbl_freemulti (qlisttbl_data_t *objs) |
| qlisttbl->freemulti(): Deallocate object array returned by getmulti(). | |
| size_t | qlisttbl_remove (qlisttbl_t *tbl, const char *name) |
| qlisttbl->remove(): Remove matched objects with given name. | |
| bool | qlisttbl_removeobj (qlisttbl_t *tbl, const qlisttbl_obj_t *obj) |
| qlisttbl->removeobj(): Remove objects with given object pointer. | |
| bool | qlisttbl_getnext (qlisttbl_t *tbl, qlisttbl_obj_t *obj, const char *name, bool newmem) |
| qlisttbl->getnext(): Get next element. | |
| size_t | qlisttbl_size (qlisttbl_t *tbl) |
| qlisttbl->size(): Returns the number of elements in this table. | |
| void | qlisttbl_sort (qlisttbl_t *tbl) |
| qlisttbl->sort(): Sort keys in this table. | |
| void | qlisttbl_clear (qlisttbl_t *tbl) |
| qlisttbl->clear(): Removes all of the elements from this table. | |
| bool | qlisttbl_save (qlisttbl_t *tbl, const char *filepath, char sepchar, bool encode) |
| qlisttbl->save(): Save qlisttbl as plain text format Dumping direction is always forward(from the top to the bottom) to preserve the order when we load the file again. | |
| ssize_t | qlisttbl_load (qlisttbl_t *tbl, const char *filepath, char sepchar, bool decode) |
| qlisttbl->load(): Load and append entries from given filepath Loading direction is always appending at the bottom of the table to preserve the order as it was. | |
| bool | qlisttbl_debug (qlisttbl_t *tbl, FILE *out) |
| qlisttbl->debug(): Print out stored elements for debugging purpose. | |
| void | qlisttbl_lock (qlisttbl_t *tbl) |
| qlisttbl->lock(): Enter critical section. | |
| void | qlisttbl_unlock (qlisttbl_t *tbl) |
| qlisttbl->unlock(): Leave critical section. | |
| void | qlisttbl_free (qlisttbl_t *tbl) |
| qlisttbl->free(): Free qlisttbl_t | |
Linked-list-table implementation.
qlisttbl container is a Linked-List-Table implementation. Which maps keys to values. Key is a string and value is any non-null object. These elements are stored sequentially in Doubly-Linked-List data structure.
Compared to Hash-Table, List-Table is efficient when you need to keep duplicated keys since Hash-Table only keep unique keys. Of course, qlisttbl supports both unique keys and key duplication.
Definition in file qlisttbl.c.
| qlisttbl_t * qlisttbl | ( | int | options | ) |
Create a new Q_LIST linked-list container.
| options | combination of initialization options. |
| errno | will be set in error condition.
|
Definition at line 150 of file qlisttbl.c.
| bool qlisttbl_put | ( | qlisttbl_t * | tbl, |
| const char * | name, | ||
| const void * | data, | ||
| size_t | size | ||
| ) |
qlisttbl->put(): Put an element to this table.
| tbl | qlisttbl container pointer. |
| name | element name. |
| data | a pointer which points data memory. |
| size | size of the data. |
| errno | will be set in error condition.
|
Definition at line 249 of file qlisttbl.c.
| bool qlisttbl_putstr | ( | qlisttbl_t * | tbl, |
| const char * | name, | ||
| const char * | str | ||
| ) |
qlisttbl->putstr(): Put a string into this table.
| tbl | qlisttbl container pointer. |
| name | element name. |
| str | string data. |
| errno | will be set in error condition.
|
Definition at line 296 of file qlisttbl.c.
| bool qlisttbl_putstrf | ( | qlisttbl_t * | tbl, |
| const char * | name, | ||
| const char * | format, | ||
| ... | |||
| ) |
qlisttbl->putstrf(): Put a formatted string into this table.
| tbl | qlisttbl container pointer. |
| name | element name. |
| format | formatted value string. |
| errno | will be set in error condition.
|
Definition at line 314 of file qlisttbl.c.
| bool qlisttbl_putint | ( | qlisttbl_t * | tbl, |
| const char * | name, | ||
| int64_t | num | ||
| ) |
qlisttbl->putInt(): Put an integer into this table as string type.
| tbl | qlisttbl container pointer. |
| name | element name. |
| num | number data. |
| errno | will be set in error condition.
|
Definition at line 345 of file qlisttbl.c.
| void * qlisttbl_get | ( | qlisttbl_t * | tbl, |
| const char * | name, | ||
| size_t * | size, | ||
| bool | newmem | ||
| ) |
qlisttbl->get(): Finds an object with given name.
If there are duplicate keys in the table, this will return the first matched one from the bottom (or the top if QLISTTBL_LOOKUPFORWARD option was given). So if there are duplicated keys, it'll return recently inserted one.
| tbl | qlisttbl container pointer. |
| name | element name. |
| size | if size is not NULL, data size will be stored. |
| newmem | whether or not to allocate memory for the data. |
| errno | will be set in error condition.
|
Definition at line 392 of file qlisttbl.c.
| char * qlisttbl_getstr | ( | qlisttbl_t * | tbl, |
| const char * | name, | ||
| bool | newmem | ||
| ) |
qlisttbl->getstr(): Finds an object with given name and returns as string type.
| tbl | qlisttbl container pointer. |
| name | element name. |
| newmem | whether or not to allocate memory for the data. |
| errno | will be set in error condition.
|
Definition at line 442 of file qlisttbl.c.
| int64_t qlisttbl_getint | ( | qlisttbl_t * | tbl, |
| const char * | name | ||
| ) |
qlisttbl->getint(): Finds an object with given name and returns as integer type.
| tbl | qlisttbl container pointer. |
| name | element name. |
| errno | will be set in error condition.
|
Definition at line 460 of file qlisttbl.c.
| qlisttbl_data_t * qlisttbl_getmulti | ( | qlisttbl_t * | tbl, |
| const char * | name, | ||
| bool | newmem, | ||
| size_t * | numobjs | ||
| ) |
qlisttbl->getmulti(): Finds all objects with given name and return a array of objects.
If there are duplicate keys in the table, this will return all the matched ones. The order of objects in return depends on setnextdir() setting. By default, the order is same(forward) as listed in the table.
| tbl | qlisttbl container pointer. |
| name | element name. |
| newmem | whether or not to allocate memory for the data. |
| numobjs | the nuber of objects returned will be stored. (can be NULL) |
| errno | will be set in error condition.
|
Definition at line 504 of file qlisttbl.c.
| void qlisttbl_freemulti | ( | qlisttbl_data_t * | objs | ) |
qlisttbl->freemulti(): Deallocate object array returned by getmulti().
| objs | pointer of array of qlisttbl_data_t. |
Definition at line 573 of file qlisttbl.c.
| size_t qlisttbl_remove | ( | qlisttbl_t * | tbl, |
| const char * | name | ||
| ) |
qlisttbl->remove(): Remove matched objects with given name.
| tbl | qlisttbl container pointer. |
| name | element name. |
Definition at line 593 of file qlisttbl.c.
| bool qlisttbl_removeobj | ( | qlisttbl_t * | tbl, |
| const qlisttbl_obj_t * | obj | ||
| ) |
qlisttbl->removeobj(): Remove objects with given object pointer.
This call is useful when you want to remove an element while traversing a table using getnext(). So the address pointed by obj maybe different than the actual object in a table, but it's ok because we'll recalculate the actual object address by referring it's links.
| tbl | qlisttbl container pointer. |
| name | element name. |
| errno | will be set in error condition.
|
Definition at line 636 of file qlisttbl.c.
| bool qlisttbl_getnext | ( | qlisttbl_t * | tbl, |
| qlisttbl_obj_t * | obj, | ||
| const char * | name, | ||
| bool | newmem | ||
| ) |
qlisttbl->getnext(): Get next element.
Default searching direction is backward, from the bottom to top unless QLISTTBL_LOOKUPFORWARD option was specified.
| tbl | qlisttbl container pointer. |
| obj | found data will be stored in this object |
| name | element name., if key name is NULL search every objects in the table. |
| newmem | whether or not to allocate memory for the data. |
| errno | will be set in error condition.
|
Definition at line 727 of file qlisttbl.c.
| size_t qlisttbl_size | ( | qlisttbl_t * | tbl | ) |
qlisttbl->size(): Returns the number of elements in this table.
| tbl | qlisttbl container pointer. |
Definition at line 799 of file qlisttbl.c.
| void qlisttbl_sort | ( | qlisttbl_t * | tbl | ) |
qlisttbl->sort(): Sort keys in this table.
| tbl | qlisttbl container pointer. |
Definition at line 826 of file qlisttbl.c.
| void qlisttbl_clear | ( | qlisttbl_t * | tbl | ) |
qlisttbl->clear(): Removes all of the elements from this table.
| tbl | qlisttbl container pointer. |
Definition at line 862 of file qlisttbl.c.
| bool qlisttbl_save | ( | qlisttbl_t * | tbl, |
| const char * | filepath, | ||
| char | sepchar, | ||
| bool | encode | ||
| ) |
qlisttbl->save(): Save qlisttbl as plain text format Dumping direction is always forward(from the top to the bottom) to preserve the order when we load the file again.
| tbl | qlisttbl container pointer. |
| filepath | save file path |
| sepchar | separator character between name and value. normally '=' is used. |
| encode | flag for encoding data . false can be used if the all data are string or integer type and has no new line. otherwise true must be set. |
Definition at line 895 of file qlisttbl.c.
| ssize_t qlisttbl_load | ( | qlisttbl_t * | tbl, |
| const char * | filepath, | ||
| char | sepchar, | ||
| bool | decode | ||
| ) |
qlisttbl->load(): Load and append entries from given filepath Loading direction is always appending at the bottom of the table to preserve the order as it was.
| tbl | qlisttbl container pointer. |
| filepath | save file path |
| sepchar | separator character between name and value. normally '=' is used |
| decode | flag for decoding data |
Definition at line 941 of file qlisttbl.c.
| bool qlisttbl_debug | ( | qlisttbl_t * | tbl, |
| FILE * | out | ||
| ) |
qlisttbl->debug(): Print out stored elements for debugging purpose.
| tbl | qlisttbl container pointer. |
| out | output stream FILE descriptor such like stdout, stderr. |
| errno | will be set in error condition.
|
Definition at line 993 of file qlisttbl.c.
| void qlisttbl_lock | ( | qlisttbl_t * | tbl | ) |
qlisttbl->lock(): Enter critical section.
| tbl | qlisttbl container pointer. |
Definition at line 1021 of file qlisttbl.c.
| void qlisttbl_unlock | ( | qlisttbl_t * | tbl | ) |
qlisttbl->unlock(): Leave critical section.
| tbl | qlisttbl container pointer. |
Definition at line 1031 of file qlisttbl.c.
| void qlisttbl_free | ( | qlisttbl_t * | tbl | ) |
qlisttbl->free(): Free qlisttbl_t
| tbl | qlisttbl container pointer. |
Definition at line 1041 of file qlisttbl.c.


Beep-Boop Responder!
Scramble messages into robotic slang!
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[gecode-users] Configure fails on Gentoo Linux
Vasilij Savin
Vasilij.Savin.8691 at student.uu.se
Tue Sep 16 13:10:02 CEST 2008
Hello,
I am using Sun Java <IP_ADDRESS>, so that should be ok, I suppose. Unless
there are special issues with 1.6 java.
Gentoo is known to repackage stuff, so I would not be surprised that
stuff actually resides in some other place than usually expected.
I will experiment more with configure this evening and let you know
the results.
Regards,
Vasilij Savin
More information about the gecode-users
mailing list


Utility method to run function either synchronously or asynchronously using the common this.async()
style.
This is useful for library author accepting sync or async functions as parameter. runAsync
will always run them as async method, and normalize the function handling.
bash
npm install --save run-async
```js var runAsync = require(‘run-async’);
// In Async mode: var asyncFn = function (a) { var done = this.async();
setTimeout(function () { done(‘running: ‘ + a); }, 10); };
runAsync(asyncFn, function (answer) { console.log(answer); // ‘running: async’ }, ‘async’);
// In Sync mode: var syncFn = function (a) { return ‘running: ‘ + a; };
runAsync(asyncFn, function (answer) { console.log(answer); // ‘running: sync’ }, ‘sync’); ```
Copyright (c) 2014 Simon Boudrias (twitter: @vaxilart)
Licensed under the MIT license.


One of my recent projects at Accountor Finago was working on an upcoming accounting application that's aimed primarily for micro-entrepreneurs, called Finago Solo. As my Master's Thesis I conducted an extensive user research on this particular user group (methods included both interviews and contextual inquiries), which provided me with a good initial understanding of their accounting-related needs. The actual design process of Finago Solo, nevertheless, included plenty of iterations: from sketching initial user flows on paper to designing a highly interactive digital prototype with Adobe XD. After each iteration the new design solutions were tested with various micro-entrepreneurs. This project was a highly exciting one, as it was truly user-centered - it taught me in practice how even a single user testing can provide valuable insights that turn out to be beneficial for the whole product. Click here for more information about Finago Solo.
This was my first customer project as a user interface designer in Reaktor. The client was a Finnish investment group United Bankers, and they needed a new visual look and structure for their website. I worked with a team consisting of myself, two developers and a visual designer. Working at the client's premises turned out to be vital in getting rapid feedback in the design sketches that in the early stages I made mostly on paper canvases. Later on, I worked together with the visual designer of the team to make a high-fidelity layout of the user interface. The tool used for creating the final visual layout was Sketch. Although a rather brief project, it worked for me as a really good first hands-on experience in consulting work, and a design project where it was important to both recognize the client's wishes and business aspects as well as provide the optimal experience for the end users. Click here to see the full website (in its current form).
My name is Lauri Loikkanen and I'm a 30-year-old UX designer from Espoo, Finland. I'm also a Master of Science in Technology, having graduated from Aalto University in 2018 from the degree programme of Information Networks with a major in User-Centered Design.
My studies consisted of three elements - information technology, industrial management and social studies. During my bachelor's degree I took courses ranging from Java and XML programming to work psychology, and from concept design to digital media. However, my master's phase mostly revolved around User-Centered Design, and included several intensive design-related courses with a variety of interesting projects, some of which were targeted for actual Finnish companies.
Professionally, I have several years of experience of UX/UI designer, performing various design-related tasks, such as conducting user research and designing interactive UI prototypes. My main professional motivation is to design digital services with the best possible user experience, and I'm always eager to expand my knowledge of the subject. Although my work experience so far has mostly focused on UX design, my professional interests range from service design to visual design.
From 2020 to 2022 I took a break from UX work to broaden my knowledge in another passion of mine - music. I studied and graduated from Helsinki Pop & Jazz Konservatorio with a degree of music technology, and for the past few years I have worked as a freelancer in the field of music, doing everything from live audio engineering and studio work to guitar teaching.
In my spare time I enjoy good food, reading books and meeting people. My other hobbies include going to the gym, jogging... or sometimes traveling to explore the most exotic places in the World, such as the Peruvian mountain in the background picture!


Soldier Orbyu:
For this mission, you need more information about the Seed of Destruction.
(Only characters who have completed the "The Enveloping Darkness" quest may undertake this quest.)


public final class MobileSsoFactory
extends java.lang.Object
| Modifier and Type | Method and Description |
|---|---|
static MobileSso |
getInstance()
Obtains the cached
MobileSso instance. |
static MobileSso |
getInstance(android.content.Context context)
Obtains and initializes the
MobileSso instance using the specified Context. |
static MobileSso |
getInstance(android.content.Context context,
boolean forceDefault)
Obtains and initializes the
MobileSso instance using the specified Context. |
static MobileSso |
getInstance(android.content.Context context,
org.json.JSONObject config)
Obtains and initializes the
MobileSso instance using the specified Context and configuration JSONObject. |
static MobileSso |
getInstance(android.content.Context context,
java.net.URL url)
Obtains and initializes the
MobileSso instance using the specified Context and file. |
static void |
reset()
Resets the initialized MobileSso.
|
public static MobileSso getInstance()
Obtains the cached MobileSso
instance.
getInstance(Context, JSONObject)
or
getInstance(Context)
, throw IllegalStateException
.public static MobileSso getInstance(android.content.Context context, boolean forceDefault)
Obtains and initializes the MobileSso
instance using the specified Context.
context
- Context to provide access to services such as the device ID and current location. Required.forceDefault
- True - force to load the JSON Configuration under /assets/msso_config.jsonpublic static MobileSso getInstance(android.content.Context context)
Obtains and initializes the MobileSso
instance using the specified Context.
context
- Context to provide access to services such as the device ID and current location. Required.public static MobileSso getInstance(android.content.Context context, java.net.URL url)
Obtains and initializes the MobileSso
instance using the specified Context and file.
If a MobileSso instance has already been created with the same host, port and prefix for this process, it will be returned, otherwise, a new MobileSso instance will be created using the specified context and JSONObject. Multiple MobileSso with different configuration is not currently supported, Application should not use more than one instance of MobileSso with different setting.
You should use this method cautiously at runtime as an exception may be thrown due to an invalid JSON Object, missing mandatory value, invalid types, etc. You may use a try and catch block to avoid applications from being unexpectedly killed.
context
- Context to provide access to services such as the device ID and current location. Required.url
- URL of JSON configuration to use, if a MobileSso has not yet been created for this process. Required.public static MobileSso getInstance(android.content.Context context, org.json.JSONObject config)
Obtains and initializes the MobileSso
instance using the specified Context and configuration JSONObject.
If a MobileSso instance has already been created with the same host, port and prefix for this process, it will be returned, otherwise, a new MobileSso instance will be created using the specified context and JSONObject. Multiple MobileSso with different configuration is not currently supported, Application should not use more than one instance of MobileSso with different setting.
You should use this method cautiously at runtime as an exception may be thrown due to an invalid JSON Object, missing mandatory value, invalid types, etc. You may use a try and catch block to avoid applications from being unexpectedly killed.
context
- Context to provide access to services such as the device ID and current location. Required.config
- JSON configuration to use, if a MobileSso has not yet been created for this process. Required.public static void reset()
getInstance()
or getInstance(Context, JSONObject)


Pam scraps Assange visit - Entertainment News
by WENNPamela Anderson has been forced to cancel a prison visit to Wikileaks founder Julian Assange, due to a personal emergency.
The actress was scheduled to visit Assange in Belmarsh Prison in London on Tuesday, ahead of a press conference, but her plans have changed.
A spokesman for the Don't Extradite Assange campaign said, "Pamela has a personal emergency which has meant she has had to go home and cancel everything for the next two weeks."
Anderson visited Assange earlier this year and recently told TV show The Talk she was "extremely distressed at the thought of his declining state."
Prior to his arrest and detention, Assange spent seven years in exile at the Ecuadorean Embassy in London to avoid extradition.
He faces 18 charges in the U.S., including allegations he conspired to break into a Pentagon computer and leaked hundreds of thousands of classified documents.


| Data Variable | Definition(s) |
|---|
Ctrl-V
or Command-V
) into the [cmd type] column (Column C) of the target step. Note that one
should double-check the location of the macro file location, especially if it is referenced by another
project. Click here to see it in
action.


The tutorial will serve as a quick guide to the features and functionalities of the app.
After loging in, you will notice that this app consists of four tabs, which hold the main functionality of the app and an additional menu (either on the left or as a dropdown, depending on the device you are using).
The menu consists of the four tabs, some settings regarding your account, and a possibility to return to this tutorial anytime in case something is not clear.
The first and default tab is Secrurity tab. It allows you to arm and disarm the security of your home with ease in just a second.
Next is the Thermostats tab. Here you can follow the temperature and humidity in your home, and set the desired temperature in different parts of it.
Here, on the Cameras tab, you can see the video footages of the cameras installed in your home.
The Devices tab is the tab where you can add new devices, and enable or disable each device sepparately.
Now that everything is clear, the only thing left is to dive into the app and enjoy while keeping your home safe.


Behavior
Mister Mime loves to perform tricks and performances of all kinds, but he gets very angry if someone doesn't like them. He punishes those who interrupt his performances or are not impressed by slapping them in the face.


Esports is the combination of Electronic and Sports which means using electronic devices as a platform for competitive activities. It is facilitated by electronic systems, unmanned vehicle, unmanned aerial vehicle, robot, simulation, VR, AR and any other electronic platform or object in which input and output shall be medicated by human or human-computer interfaces.
Fastest growing sports in the world. 2 billion are aware of esports, 220 million are somehow engaged.
The opportunities for amateurs who turn pro can see them compete for prize pools up to USD $18 million, greater than the NFL Super bowl.

Find Out MoreEstablish esports as a true sport is our prime objective. Create standards for tournaments, procedures for becoming a professional esports athlete, forming educational options and generating employment possibilities for esports enthusiast. Promote our country internationally and take a leadership role in the region.
11 world Championships, over 10.000 players, more than 50 local tournaments and awarded more than 30.000 EUR in prize money.
Official National Esports League since 2016, according to the Law for Sports. Each club fulfills the criteria for affiliation and so does the federation.
Valuable member of the 3 largest international organizations in the world, IESF, EEF and WESCO. We have representatives in the board of all 3 organizations.
Under the guidance of IESF, we are establishing an Educational program and referee training courses. Scholarships will be available for our members.
If you are esports enthusiasts, amateur team or just great individual players, you can join us. We will help you to structure properly and enter the world of esports clubs.
By becoming members of MESF, you get access to many tools for development, promotion, education and training. Also, you can compete in international matches with our vast global family.
You can compete in the Official National Esports League and get paid to play, for the first time ever. The winner plays on the IESF world Championship. Runner up, plays in WSL. You simply can’t loose.
Get recognition from the National Sportin Authority and from the official Federation. Join us and we will guide you to the process of recognition


{% extends 'base.html' %}{% load staticfiles %} {% block main %} White label mPOS payments Helping the small business kick-start their new business with payments! {% endblock %}


[gecode-users] multi-dimensional binpacking gives fatal signal 11
Kish Shen
kisshen at cisco.com
Mon Aug 10 14:11:18 CEST 2015
Hi,
I am gettng a fatal signal 11 (on Linux, Gecode 4.4.0) with the
multi-dimensional binpacking for some arguments values. The simplest
case that I can generate the problem is:
binpacking(home, 2, l, b, s, c)
l = {0, 0, l1, l2} (0 is where the IntVar has a singleton domain of 0)
b = {0, b1}
s = {0,0,0,0}
c = {5,5}
The binpacking constraint is called from ECLiPSe, and some of the
arguments are generated. I haven't tried to call binpacking
independently of ECLiPSe, but it does look like the problem is happening
in Gecode: valgrind (a memory checker) detected the first problem in
BinPacking::Pack::post(...)
which is called by binpacking
with a Conditional jump or move depends on uninitialised value(s)
(Sorry, I don't know how to cut and paste from my xterm window in a VNC
session to my Windows mailer).
The first message may not be a real error, but the next, also in the
Pack::post function, does seem to be an error: Invalid red of size 4.
I haven't really written a stand-alone Gecode program, so I thought I
should report this issue before trying to do so -- please let me know if
you want me to do this.
Thanks and cheers,
Kish
More information about the users
mailing list


To the leftAbove you'll see a picture of a 21 year old in front of a helicopter. That was me, Dakota, a few years ago. Prior to creating this website, I spent about six years in the Coast Guard. I decided to trade in my flight suit and black boots for blue jeans, a t-shirt, and tennis shoes. I traded in my flight helmet and flight gloves for a wide-brim straw hat and a backpack.
Now I'm a student at University of Wisconsin - Oshkosh. I've had a few different ideas on what I would like the major in, but Information Systems (BBA) is what has stuck so far. I've been learning HTML and CSS the past few months with hopes to find a web development internship. After I learn a bit more of HTML and CSS, I plan on continuing my learning with JavaScript. Have a look at a few of my projects below!