[viewBag] title = "History" url = "/about-us/history" layout = "default" hidden = "0" navigation_hidden = "0" seo_description = "Find out about the history of Crockenhill Baptist Church" robot_index = "index" robot_follow = "follow" ==
Helping people to find out the good news about Jesus Christ was the driving force behind the opening of Crockenhill's first Christian chapel back in 1801. Those pioneers took a serious look at village life and became convinced that their contemporaries were "sitting in darkness, and in the valley of the shadow of death" (that is how one magazine of the time described it).
Those Christians, back at the beginning of the 19th century, decided that they couldn't simply do nothing. So they built a refuge where people could come out of the darkness and escape from the danger they saw them to be in.
Those Christians did not think of themselves as being in any way superior to the rest of the villagers - any more than a life-boat man feels superior to the person he rescues from drowning. But if you yourself have experienced a great rescue, would you leave others in danger, when they could also be brought to safety?
It was a serious reading of the Bible which convinced those chapel-builders of the darkness and danger we all face without Jesus Christ. It is the same ever-relevant Bible that convinces us to continue their work.


LANGUAGE
ITALIAN
SPANISH
FRENCH
GERMAN
ENGLISH
Flick of The Switch
FORMATION:
Brian Johnson
Angus Young
Malcolm Young
Phil Rudd
Cliff Williams
SONGS:
Rising Power
This house Is on Fire
Flick of the Switch
Nervous Shakedown
Landslide
Guns for Hire
Deep in the Hole
Bedlam in Belgium
Badlands
Brain Shake


| GEOS SDK TechDocs
|
| 1 Preparing Your Application
| 3 Setting Up a PC Server
No matter how you're making your program available, you'll need to provide a "package description file," sometimes known as the .
INS
file. This is an ASCII text file which specifies important information about the files that make up your program:
-
Name of the package, which the
Install/Remove software
application displays to the user
-
Description of the package, which the
Install/Remove software
application displays to the user
-
Order in which files should be installed.
-
Names and locations of the files on the host machine
-
Where the files should be copied to on the client phone
This installation order is important in case of interrupted installation--if file
A
depends upon file
B
, but installation was interrupted after file
A
was brought over, but before file
B
was, then file
A
won't work, since it depends on an absent file. If another package is relying upon an older, successfully installed version of file
A
, then you've just broken that other file.
Use the following format when creating the package description file:
-
The file name must have a .
INS
suffix.
-
Whitespace at the end of a line is ignored; blank lines are ignored.
-
The first line must say "GEOS Package Description File v1.0"
-
The second line must contain the package name. This is the name by which the package will be identified to the user in the
Install/Remove software
application. The application doesn't have space for a long description, though--about 20 characters.
-
The third line must contain a description of the package. When the user views the package in the
Install/Remove software
application, they may read this description before deciding whether to download/install the package. The application doesn't have space for a long description, though--about 16 characters.
-
The fourth line must contain the size of the package, (in bytes). This is the combined size of all files in the package. This string must be at most 14 characters long. (Hopefully, this will be sufficient!) When computing the size, don't forget to include the size of the package description file itself. It's all right to over-estimate the size.
-
The fifth line must consist of a period (.). (This delimiter separates information about the package as a whole from information about the individual files.)
-
The rest of the file consists of pairs of lines:
The first line
of each pair contains the path of a file on the host machine (or within the Add-On Software file, which will be described later);
The second line
of each pair contains the destination of the file on the client phone.
The host-machine location is relative to the location of the package description file. The destination location is relative to the base of the GEOS tree.
The line-pairs describing file locations must be ordered based upon the order in which the files should be installed. Libraries, fonts, etc. must be listed before the applications that depend on them.
Sample Package Description File
This example shows a package description file for the Santa package. On the host machine, the package description file is in the C:\NSERVER directory, and the files making up the package are in the C:\NSERVER\SANTA directory. The Santa application depends on the Sleigh library, and the Rudy font; the Sleigh library depends on the Donner and Blitzen libraries.
GEOS Package Description File v1.0
Santa v1.0
Gives gifts.
15769
.
santa\rudy.fnt
userdata\font\rudy.fnt
santa\donner.geo
system\donner.geo
santa\blitzen.geo
system\blitzen.geo
santa\sleigh.geo
system\sleigh.geo
santa\santa.geo
world\extrapps\santa.geo
| GEOS SDK TechDocs
|
| 1 Preparing Your Application
| 3 Setting Up a PC Server


Introduction #
g2 is a 2D graphics library based on the command pattern principle. It supports the building of a command queue of graphics instructions for later addressing one or multiple concrete rendering contexts with an extra benefit of executing the commands in a compact time frame.
g2 is intentionally doing exactly one thing - 2D graphics. It has no high level graphical objects, no user event handling and no animation or interaction capabilities inherently built in. g2 is tiny and completely transparent.
It is aimed at users as scientists and engineers who want an easy way to occasionally create some prototypal - static or interactive dynamic - 2D web based graphics. They want a small and high performant library with a simple and intuitive API fully documented on a single page cheat sheet. In fact g2 is currently used for over a year in engineering education.
How Queue Processing Works #
Let's look at a simple example drawing a triangle first.
const g = g2(); // create g2 command queue object.
g.p() // begin path
.m({x:10, y:10}) // first point
.l({x:90, y:10}) // second point
.l({x:50, y:90}) // third point
.z() // close path
.drw({ls:"green",lw:3,fs:"orange"}) // stroke and fill
.exe(ctx); // finally render graphics addressing 'ctx'.
There are only two objects g2
and ctx
involved. Both are nearly completely independent
from each other. Only the last code line exe
establishes a loose connection between them.
With every invokation of a g2
command method a function pointer
is stored in g2's command queue. Finally with the help of the g2.exe
method the
function pointers are resolved accordingly and handed
over to a graphics context instance for rendering.
The command queue is implemented as a simple array holding objects containing a function pointer and an optional arguments array. So the command queue of the example above, which is build at compile time - i.e. compiling the queue - looks like this:
[ {c:g2.prototype.p},
{c:g2.prototype.m, a:{x:10,y:10}},
{c:g2.prototype.l, a:{x:90,y:10}},
{c:g2.prototype.l, a:{x:50,y:90}},
{c:g2.prototype.z},
{c:g2.prototype.drw} ]
At rendering time the final exe
command resolves with the knowledge of a concrete renderer
instance type the function pointers to (here HTML canvas context "2d"):
[ {c:CanvasRenderingContext2D.prototype.beginPath},
{c:CanvasRenderingContext2D.prototype.moveTo, a:[10,10]},
{c:CanvasRenderingContext2D.prototype.lineTo, a:[90,10]},
{c:CanvasRenderingContext2D.prototype.lineTo, a:[50,90]},
{c:CanvasRenderingContext2D.prototype.closePath},
{c:g2.prototype.drw.c2d} ]
Applying this array of function pointers to a specific canvas context results in only very little additional runtime cost
- performing the loop
- resolving the function pointers
- possibly invoking wrapper functions
and moderate additional memory cost (the queue) compared to directly invoking the canvas context methods, which would read here:
ctx.beginPath();
ctx.moveTo(10,10);
ctx.lineTo(90,10);
ctx.lineTo(50,90);
ctx.closePath();
ctx.fill(); ctx.stroke(); // g2.prototype.drw
Once you have successfully built a command queue, you can apply it repeatedly
to one or multiple graphics contexts via its exe
-method.
Benefits #
So g2 is not merely a thin wrapper around the canvas context. It is conceptually renderer agnostic and helps in
- collecting graphics commands in a queue for fast and compact rendering - possibly repeatedly - at a later time.
- decoupling the graphics commands from the renderer instance as well as abstracting away the renderer API.
- separating an applications model from its view.
Let's elaborate these points a little more.
Fast Rendering #
Graphics intense applications like simulations and games often work with back buffers for improving the visual experience. A back buffer is a temporarily invisible graphics context used to draw on during a certain time frame. On completion that graphics context is made visible then. Intermediate flicker effects are minimized by this technique. A g2 object, while at first collecting graphics commands and finally rendering them, is acting similar to a back buffer.
Decoupling #
A g2 object is very loosely coupled with a graphics context. We can decide at the latest at rendering time, where to send the graphics commands stored in the queue to, or even send them to multiple different graphics contexts. Rendering the same graphics to a main window and in parallel to a small zoom-in window would be an example for this.
With the help of an SVG interface library (which is additionally provided), the same graphics commands could be used to create SVG graphics. This is advantagous in non-graphical environments like Node.js.
Separating Model from View #
Assume a graphics application managing geometric shapes. The applications model will primarily consist of a container holding objects representing shapes. Discussing now the problem, how to render the shapes (the view in MVC) may lead to the demand, to strictly separate the model from the view. But then, who knows better how to draw a shape than the shape itself?
class Circle {
constructor(x,y,r) {this.x=x;this.y=y;this.r=r}
render(g) {g.cir(this.x,this.y,this.r)}
}
class Rect {
constructor(x,y,b,h) {this.x=x;this.y=y;this.b=b;this.h=h}
render(g) {g.rec(this.x,this.y,this.w,this.h)}
}
const model = [new Circle({x:40,y:60,r:20}),new Rect({x:45,y:25,b:40,h:40})],
g = g2().grid(),
ctx1 = document.getElementById('c1').getContext('2d'), // view 1
ctx2 = document.getElementById('c2').getContext('2d'); // view 2
for (let i of model) { // build command queue of ...
i.render(g); // ... model's shapes drawing commands.
}
g.exe(ctx1); // render to view 1
g.exe(ctx2); // render to view 2
One or multiple lightweight g2 objects may act here as neutral mediators between the model's shapes and the graphics context, as in: "Show me how to draw yourself, I will hand this recipe over to a suitable renderer later!"
Feature Details #
The function call g2()
works as a constructor without
requiring new
. The implementation
concept is more functional than object oriented. g2 inherently has
no knowledge of the size of the graphical viewport - think of an infinite canvas in both dimensions -
until rendering time.
g2 basically supports
- method chaining.
- low level path commands with short names adopted from SVG.
p,m,l,q,c,a,z
- higher level element commands.
rec,cir,lin,arc,ell,ply,img,txt
- rendering commands.
stroke,fill,drw,clr,grid
- state stack for style properties and transformations.
beg,end
- managing the command queue.
cpy,del,dump
- reuse of other g2 objects.
use
- render the command queue to a graphics context.
exe
- viewport manipulation methods.
view
- embedding javascript functions
ins
- HTML canvas 2D interface.
At current g2 is considered feature complete.
As it is very easily extensible, adding custom commands or build custom symbol libraries on top of g2 is a nobrainer. Have a look at g2-mec as an example.


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DTS COIN
DTS stands for Decentralised Travel Solution
DTS follows ERC20 interface
It has a total supply of 100000 coins
Smallest division can be upto 18 decimals


Dear devonfw friends!
devonfw is continuously evolving and we're proud to present our newest changes with the main goal to FOCUS!
This new version is focusing on lightweight articles that provide guidance on reoccurring challenges based on common best practices. Examples and Code Snippets help you to easily understand and adopt the suggestions.
We've restructured the complete website. The technology stacks like java and typescript are now separated. You can find the links below or on the website header. The previous version is still available under the Legacy Docs link in the header.
Within the stacks the articles are now better organized into topic groups.


CURLOPT_FNMATCH_FUNCTION explained
NAME
CURLOPT_FNMATCH_FUNCTION - wildcard matching function callback
SYNOPSIS
#include <curl/curl.h> int fnmatch_callback(void *ptr, const char *pattern, const char *string); CURLcode curl_easy_setopt(CURL *handle, CURLOPT_FNMATCH_FUNCTION, fnmatch_callback);
DESCRIPTION
Pass a pointer to your callback function, which should match the prototype shown above.
This callback is used for wildcard matching.
Return CURL_FNMATCHFUNC_MATCH if pattern matches the string, CURL_FNMATCHFUNC_NOMATCH if not or CURL_FNMATCHFUNC_FAIL if an error occurred.
DEFAULT
NULL == an internal function for wildcard matching.
PROTOCOLS
EXAMPLE
static int my_fnmatch(void *clientp, const char *pattern, const char *string) { struct local_stuff *data = (struct local_stuff *)clientp; if(string_match(pattern, string)) return CURL_FNMATCHFUNC_MATCH; else return CURL_FNMATCHFUNC_NOMATCH; } { struct local_stuff local_data; curl_easy_setopt(curl, CURLOPT_URL, "ftp://ftp.example.com/file*"); curl_easy_setopt(curl, CURLOPT_WILDCARDMATCH, 1L); curl_easy_setopt(curl, CURLOPT_FNMATCH_FUNCTION, my_fnmatch); curl_easy_setopt(curl, CURLOPT_FNMATCH_DATA, &local_data); }
AVAILABILITY
RETURN VALUE
Returns CURLE_OK if the option is supported, and CURLE_UNKNOWN_OPTION if not.
SEE ALSO
CURLOPT_FNMATCH_DATA, CURLOPT_DEBUGFUNCTION
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Why you should stay in the property
Briefly explain why you believe your eviction shouldn’t proceed. Include details of any steps you’ve taken to address your arrears or make regular payments.
{% endblock %}
Briefly explain why you believe your eviction shouldn’t proceed. Include details of any steps you’ve taken to address your arrears or make regular payments.


Check the input values of function parameters for errors.
checkInputs(
ftime,
ftype,
trt,
adjustVars,
t0 = max(ftime[ftype > 0]),
SL.ftime = NULL,
SL.ctime = NULL,
SL.trt = NULL,
glm.ftime = NULL,
glm.ctime = NULL,
glm.trt = "1",
returnIC = TRUE,
returnModels = TRUE,
ftypeOfInterest = unique(ftype[ftype != 0]),
trtOfInterest = unique(trt),
method = "hazard",
bounds = NULL,
verbose = FALSE,
tol = 1/(length(ftime)),
maxIter = 100,
Gcomp = FALSE
)
Arguments
| ftime |
A numeric vector of failure times. Right-censored observations
should have corresponding ftype set to 0. |
| ftype |
A numeric vector indicating the type of failure. Observations
with ftype == 0 are treated as right-censored. Each unique value
besides zero is treated as a separate type of failure. |
| trt |
A numeric vector indicating observed treatment assignment. Each
unique value will be treated as an (unordered) separate type of treatment.
Currently, only two unique values of trt are supported. |
| adjustVars |
A data.frame of adjustment variables that will be
used in estimating the conditional treatment, censoring, and failure
(hazard or conditional mean) probabilities. |
| t0 |
The time at which to return cumulative incidence estimates. By
default this is set to max(ftime) . |
| SL.ftime |
A character vector or list specification to be passed to the
SL.library argument in the call to SuperLearner for the
outcome regression (either cause-specific hazards or conditional mean). See
the documentation of SuperLearner for more
information on how to specify valid SuperLearner libraries. It is
expected that the wrappers used in the library will play nicely with the
input variables, which will be called "trt" and
names(adjustVars) . |
| SL.ctime |
A character vector or list specification to be passed to
SL.library in the call to SuperLearner
for the estimate of the conditional hazard for censoring. It is expected
that the wrappers used in the library will play nicely with the input
variables, which will be called "trt" and names(adjustVars) . |
| SL.trt |
A character vector or list specification to be passed to
SL.library in the call to SuperLearner
for the estimate of the conditional probability of treatment. It is
expected that the wrappers used in the library will play nicely with the
input variables, which will be names(adjustVars) . |
| glm.ftime |
A character specification of the right-hand side of the
equation passed to the formula option of a call to
glm for the outcome regression (either cause-specific
hazards or conditional mean). Ignored if SL.ftime != NULL . Use
"trt" to specify the treatment in this formula (see examples). The
formula can additionally include any variables found in
names(adjustVars) . |
| glm.ctime |
A character specification of the right-hand side of the
equation passed to the formula option of a call to
glm for the estimate of the conditional hazard for
censoring. Ignored if SL.ctime != NULL . Use "trt" to specify
the treatment in this formula (see examples). The formula can additionally
include any variables found in names(adjustVars) . |
| glm.trt |
A character specification of the right-hand side of the
equation passed to the formula option of a call to
glm for the estimate of the conditional probability of
treatment. Ignored if SL.trt != NULL . By default set to "1",
corresponding to using empirical estimates of each value of trt . The
formula can include any variables found in names(adjustVars) . |
| returnIC |
A logical indicating whether to return vectors of
influence curve estimates. These are needed for some post-hoc comparisons,
so it is recommended to leave as TRUE (the default) unless the user
is sure these estimates will not be needed later. |
| returnModels |
A logical indicating whether to return the
glm or SuperLearner objects used to estimate the nuisance
parameters. Must be set to TRUE if the user plans to use
timepoints to obtain estimates at times other than t0 .
See the documentation of timepoints for more information. |
| ftypeOfInterest |
An input specifying what failure types to compute
estimates of incidence for. The default value computes estimates for values
unique(ftype) . Can alternatively be set to a vector of values found
in ftype . |
| trtOfInterest |
An input specifying which levels of trt are of
interest. The default value computes estimates for all of the values in
unique(trt) . Can alternatively be set to a vector of values
found in trt . |
| method |
A character specification of how the targeted minimum
loss-based estimators should be computer, either "mean" or
"hazard" . The "mean" specification uses a closed-form
targeted minimum loss-based estimation based on the G-computation formula
of Bang and Robins (2005). The "hazard" specification uses an
iterative algorithm based on cause-specific hazard functions. The latter
specification has no guarantee of convergence in finite samples. The
convergence can be influenced by the stopping criteria specified in the
tol . Future versions may implement a closed form version of this
hazard-based estimator. |
| bounds |
A list of bounds. |
| verbose |
A logical indicating whether the function should print
messages to indicate progress. |
| tol |
The stopping criteria when method = "hazard" . The
algorithm will continue performing targeting updates to the initial
estimators until the empirical mean of the efficient influence function is
smaller than tol . The default (1/length(ftime) ) is a sensible
value. Larger values can be used in situations where convergence of the
algorithm is an issue; however, this may lead to large finite-sample bias. |
| maxIter |
A maximum number of iterations for the algorithm when
method = "hazard" . The algorithm will iterate until either the
empirical mean of the efficient influence function is smaller than
tol or until maxIter iterations have been completed. |
| Gcomp |
A logical indicating whether to compute the
G-computation estimator (i.e., a substitution estimator with no targeting
step). Note: theory does not support inference for the G-computation
estimator if Super Learner is used to estimate failure and censoring
mechanisms. Only implemented for method = "mean" . |
Value
Options to be passed to either mean_tmle
or
hazard_tmle
.


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Asda slashes prices on TVs, Nintendo Switch, tablets and Fitbit in massive Black Friday sale
These are the best deals we found
by Rachel Pugh, Jillian MacMathFollowing a three-year gap, Asda has one again decided to take part in Black Friday.
And it has launched a series of offers which certainly won't disappoint shoppers.
The supermarket has slashed prices on some of the most in demand items this Christmas, including Nintendo Switch Lite, Fitbit, Polaroid TVs and Now TV sticks.
However, there's just one catch - most of the offers aren't available online, so you'll have to head to a store near you to find them, the MEN reports.
Here are some of the best bargains we've found.
Nintendo Switch Lite (turquoise, grey and yellow) - £169.99 instead of £199.99
Polaroid Smart Tv 49" - £229 instead of £299
RCA Gemini 2in1 10" Tablet £89 instead of £129
Original Crock Pot - £20 instead of £40
Now TV Smart Stick - £15 instead of £30
Fitbit Inspire - £49 instead of £69
Tefal 9-Piece Cookware sets - £40 instead of £70
If you're planning on heading to Asda to bag some Black Friday deals, you're advised to call ahead to check stock with the store to avoid disappointment.
You can find your nearest supermarket by using Asda's branch finder.


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In DevOps or MlOps discovering what a process is doing now can save your system from a catastrophe. But sometimes we are already in a failure. When those failures happen, the following questions appear:
-
The process it’s hanging and I don’t know why!
-
What is the cause of the problem?
-
Is it a network issue?
-
…and so on and so forth.
Being able to answer these questions faster and with a precise answer can save you or give you a promotion. I’ll show you some simple examples of how those questions can be answered.
Table of Contents
Introduction
Linux is a very transparent operating system. Transparency means that is easy to dig in the system’s behavior to understand how it works. Also, Linux is easy to control even in the low-level behaviors. But how can this help to understand a process and consequently a failure?
The first step to understanding a process is to analyze the output. But sometimes the output doesn’t give us enough information to use. Here I’ll talk about how we can extract useful information using the strace
and lsof
commands. To use these commands it is good to know two concepts: the “Everything is a file ” mantra and the system call mechanism.
Concepts
“Everything is a file.” - The UNIX mantra.
What comes to your mind when someone talks about files? Maybe a jpeg or a CSV if you work as a data scientist. But in UNIX approach to do stuff everything can be a file, even network connections. When a thing is not a file it has at least a file descriptor associated with it. Maybe you’re thinking that I’m wandering from the post. “How can this stuff help to improve our comprehension about a process or failure?” The answer is straightforward: if everything is a file, we can use the same set of tools to list, read and interact (API) with files to analyze a generic process. Here is where lsof
appears.
LSOF
lsof is an acronym for list of open files. In simple terms, Lsof is a command-line tool that can list open file descriptors in your machine. Besides that, Lsof allows using a set of different filters to give you a filtered list of opened files. Thus, we can list the open file descriptors of a user or a process.
To put all the open files in your machine use the following command:
username:/$ lsof > lsof_everything.txt
The file lsof_everything.txt
is huge and will look similar to this
COMMAND PID TID TASKCMD USER FD TYPE DEVICE SIZE/OFF NODE NAME
systemd 1 root cwd unknown /proc/1/cwd (readlink: Permission denied)
systemd 1 root rtd unknown /proc/1/root (readlink: Permission denied)
systemd 1 root txt unknown /proc/1/exe (readlink: Permission denied)
Take some time to analyze the output. The output relates to the first lines to the root
user and you don’t have permission to gain information about these files, which is good. Let’s remove this wasteful information filtering the SYS CALLs related to just your user.
username:/$ lsof -u username > lsof_my.txt
The txt
file is still big. Try to look into this file to see if you can find anything interesting, like a webpage address.
We have a lot of different columns in the file. But don’t be worried, I’ll show you the columns that I believe are the most important ones.
- COMMAND
- The command name used to initiate the process
- PID
- This is an integer number that identifies a process, Process IDentification number.
- USER
- The user to whom the process belongs.
- TYPE
- This may be one of the most important columns. It has more than 60 possible values. Such column says the type of the node associated with the file. If the file is related with connections and sockets you will see things like that: IPV4, IPV6, unix, INET, etc. If it’s an regular file (csv, jpeg, txt, etc.) you will see the REG value.
- NODE
- This helps us to identify the node associated with the file descriptor. It can be a number, a string, etc. In the case of internet protocols this column will have values like TCP, UDP.
- NAME
- The values here will change a lot. For example, sometimes it can be a web server address or just a cryptic string. Regardless of the difficulty of interpreting the values in this column you should look carrefully here.
If you want a more deep understanding of the columns just uses man lsof
.
System Calls and strace
The SYSTEM_CALL is a mechanism that allows a program to ask the kernel for some resources, like the access of data stored in the disk. Therefore, if we have a tool to intercept those calls, we can have a deep comprehension of what a program is doing or what it want’s to do in your system. A celebrated tool to intercept the system calls is the strace
.
If the strace command is not available in your system, install it. In apt-based distros just calling the following command should be enough.
$ apt install strace
You can use strace
in two different ways. The first one is to call strace followed by the strace arguments and the command to be intercepted:
$ strace ARGS command
In the second way we will replace the command by the -p
argument followed by the process identification number (PID) of the process to be intercepted:
$ strace ARGS -p PID
To discover the PID of a process, you can use the command ps aux | grep -i ‘[p]rocess_name’
.
Let’s see an example. We will ask strace
to intercept any system call performed by the ls
command and we want to record the time that the system call was performed using the -t
argument.
$ strace -t ls
The output will be something similar to this:
18:02:23 execve("/usr/bin/ls", ["ls"], 0x7fffa727a418 /* 54 vars */) = 0
18:02:23 brk(NULL) = 0x55ebef60c000
18:02:23 access("/etc/ld.so.preload", R_OK) = -1 ENOENT (No such file or directory)
18:02:23 openat(AT_FDCWD, "/etc/ld.so.cache", O_RDONLY|O_CLOEXEC) = 3
...
18:02:23 execve("/usr/bin/ls", ["ls"], 0x7fffa727a418 /* 54 vars */) = 0
18:02:23 brk(NULL) = 0x55ebef60c000
18:02:23 access("/etc/ld.so.preload", R_OK) = -1 ENOENT (No such file or directory)
18:02:23 openat(AT_FDCWD, "/etc/ld.so.cache", O_RDONLY|O_CLOEXEC) = 3
...
Each line of the strace
output represents a single SYSTEM CALL. It’s easy to see the following pattern:
Name of the SYS CALL(Arguments to be used in the system call) = Result of the SYS CALL
Yes, it’s hard to understand the output or impossible without using a manual. For each SYS CALL you can use the man
command to get more information about what each line represents. For example, to see what openat
does and the meaning of each argument, use the following command:
$ man 2 openat
openat
is a sys call responsible for requesting a file to be opened. The result of the last line in the output of ls commands, 3
, means a successfully SYS CALL.
A deep dive into failures
We will see here failures and issues related to files, connections, etc. But don’t be afraid to explore other problems, we are just scratching the surface of strace
and lsof
.
Network issues
First, install the following packages:
$ python -m pip install requests flask
Create a script server_mlops.py
which we will use to simulate a server with network issues
# server_mlops.py
import time
import flask
app = flask.Flask(__name__)
@app.route('/')
def hello_world():
sleep_time = flask.request.args.get('sleep', default=10, type=int)
print('sleep_time:', sleep_time)
time.sleep(sleep_time)
return 'Hello World!'
if __name__ == '__main__':
app.run()
Starts the server:
$ python server_mlops.py
GET The PID of the process:
$ ps aux | grep -i '[s]erver_mlops.py'
You will see a output similar to this:
devmess+ 19321 18.0 0.3 29716 24792 pts/5 S+ 14:27 0:00 python server_mlops.py
The number in front of the username (19321
) is the PID
of the process.
Is my server alive?
We have to use a unique set of filters to answer this question using the lsof
. Therefore, we need to use the argument -a
, which represents an AND
operator. The -i
argument asks to show just the files associated with connections and finally the argument -p INT
makes the losf
list just the files opened by the process with the PID INT
.
$ lsof -a -i -p 19321
You will have a output similar to this
| COMMAND | PID | USER | FD | TYPE | DEVICE | SIZE/OFF | NODE | NAME |
|---|---|---|---|---|---|---|---|---|
| python | 19321 | devmessias | 4u | IPv4 | 16108218 | 0t0 | TCP | localhost:5000 (LISTEN) |
The output shows that at least our server is listening in the 5000
port. Try to remove the -a
argument and see what happens.
Is my process stuck waiting for someone? What is causing the process hanging?
This can happen in a myriad of cases. For example, in the dependency management systems like pip/conda. Thus, it is superb to know if you can answer fast if you have a problem on your side or not. Let’s create a simple simulation of this issue. To do so, create the client_mlops.py
using the following code:
#!/usr/bin/env python
#client_mlops.py
import requests
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
'--sleep', type=int, help='time to sleep', default=0)
args = parser.parse_args()
print('Ask for localhost:5000 to sleep for {} seconds'.format(args.sleep))
r = requests.get('http://localhost:5000', params={'sleep': int(args.sleep)})
print(r.text)
In the above code, we have the sleep argument. This argument will ask server_mlops
to wait for a couple of seconds before sending the answer. Let’s see how these situations appear to us at the system call level.
Start the client_mlops.py
with the strace:
$ strace -e poll,select,connect,recvfrom,sendto python client_mlops.py --sleep=20
The -e
argument followed by poll,select,connect,recvfrom,sendto
asks to filter just the sys calls related with connections issues. The output of this fake failure will be something like this
connect(4, {sa_family=AF_INET, sin_port=htons(5000), sin_addr=inet_addr("<IP_ADDRESS>")}, 16) = 0
connect(4, {sa_family=AF_INET6, sin6_port=htons(5000), inet_pton(AF_INET6, "::1", &sin6_addr), sin6_flowinfo=htonl(0), sin6_scope_id=0}, 28) = 0
connect(4, {sa_family=AF_INET6, sin6_port=htons(5000), inet_pton(AF_INET6, "::1", &sin6_addr), sin6_flowinfo=htonl(0), sin6_scope_id=0}, 28) = -1 ECONNREFUSED (Connection refused)
connect(4, {sa_family=AF_INET, sin_port=htons(5000), sin_addr=inet_addr("<IP_ADDRESS>")}, 16) = 0
sendto(4, "GET /?sleep=10 HTTP/1.1\r\nHost: l"..., 154, 0, NULL, 0) = 154
recvfrom(4,
In the last line we see an unfinished recvfrom
SYS_CALL . Do you want to know more about recvfrom
? Execute man 2 recvfrom
in a terminal session. But what matters here? The point is that: strace
is telling us there is no problem with our client program, something is problematic on the server side.
You can also use the lsof
to investigate this problem. Let’s simulate this scenario.
Starts the client again:
$ python client_mlops.py --sleep=100
Now, get the PID using ps aux | grep -i '[c]lient_mlops.py'
and execute the lsof
with the obtained PID
lsof -a -i -p 19321
the output will be something like this
| COMMAND | PID | USER | FD | TYPE | DEVICE | SIZE/OFF | NODE | NAME |
|---|---|---|---|---|---|---|---|---|
| python | 31551 | devmessias | 4u | IPv4 | 16622065 | 0t0 | TCP | localhost:57314->localhost:5000 (ESTABLISHED) |
What lsof
is telling us is that: ‘’You client seems fine. At least it is connected with the server“”. What does this mean? This means the answer was not of great help.
Problems with regular files
Sometimes you can have a problem with regular files and you don’t know. Nothing was printed in the output. For example, a wrong cache being used, a program that tries to access a file that doesn’t have permission, a malicious or a bad writing process accessing/creating files in your system, etc.
Here we will simulate simple examples related to regular files. To do so, first, copy any file to the tmp
folder or just call the following command:
$ man strace > /tmp/dummy_file.txt
Which processes is this file attached to?
Being able to answer this question can be quite useful. For example, suppose that there is a huge file in your disk being created, almost filling up your system and you want to discover which process is doing this.
First, create the following script.
#!/usr/bin/env python
# file_open.py
import time
f = open('/tmp/dummy_file.txt', 'r')
input('Press Enter to continue...')
Now open two different terminal sessions and perform the following command python file_open.py
. in each one.
To find all the processes which are attached to dummy_file.txt
you just need to call lsof
like this:
$ lsof /tmp/dummy_file.txt
The output should be something similar to this:
COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME
python 15411 devmessias 3r REG 8,2 0 2911031 /tmp/dummy_file.txt
python 20777 devmessias 3r REG 8,2 0 2911031 /tmp/dummy_file.txt
We have two distinct processes, two different PIDs, using the same file.
I made a mistake! Deleted an important file! How can I recover it?
Here the simulation will be more than one more process attached to a file and you accidentally perform some action that deletes the file.
Create a file accident.txt
. Open a terminal session and perform the following command. Don’t close the session!
$ python -c 'f=open("accident.txt", "r");input("...")'
In another session, perform the following commands:
$ rm accident.txt
$ ls accident.txt
And it’s gone :(
ls: cannot access 'acidente.txt': No such file or directory
Don’t worry! Linux has a lot of cool aspects and one of them will help us to recover our file.
In Linux any process has a directory associated with it, this directory will be inside of the /proc
folder. And what do these directories store? A lot of things! I assure you that you can be surprised. For example, these folders also store the file descriptors associated with any process using accident.txt
. Let’s see if there are any processes using this file.
$ lsof -u your_username | grep 'accident.txt'
In my case, I’ve obtained the following output:
python 22465 devmessias 3r REG 8,2 37599 14288174 path/accident.txt (deleted)
This is great news! We have a process PID 22465
that still has a file descriptor associated with accident.txt
. Now we can use a simple cp
command to recover the data. To do so, we need to use the file descriptor number. In my case is 3
which is the number in front of the r
character in the output above.
$ cp /proc/22465/fd/3 recovered.txt
Now just call nano recovered.txt
and testify the result . It’s not magic! It’s just how the process pseudo-filesystem works!
Silent errors associated with files and permissions
Let’s create a simple example of an undue access to a file using the following script
#!/usr/bin/env python
# file_404.py
import time
try:
f = open('/tmp/file_that_dosent_exist.csv', 'r')
except FileNotFoundError:
pass
try:
# create a file with sudo and then change the permission using chmod 700
f = open('/tmp/file_wrong_permission.csv', 'r')
except PermissionError:
pass
input('Press Enter to continue...')
Call python file_404.py
, nothing will appears.
To trace any SYS CALL related to regular files made by python file_404.py
you just need to use the -e trace=file
arg, like this:
$ strace -f -e trace=file python file_404.py
The argument -f
says to strace
to monitor any children’s process. You probably will use -f
every time when you’re dealing with strace in real case scenarios.
The output of the previous command should be like this
lstat("something/file_404.py", {st_mode=S_IFREG|0644, st_size=242, ...}) = 0
openat(AT_FDCWD, "file_404.py", O_RDONLY) = 3
openat(AT_FDCWD, "/tmp/file_that_dosent_exist.csv", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/tmp/file_wrong_permission.csv", O_RDONLY|O_CLOEXEC) = -1 EACCES (Permission denied)
Cool! With the strace
we are able to identify errors even when the programmer used a dangerous practice in the code.
Ok, but let’s improve our output. We can filter the strace output redirecting into it the awk
(or grep
) and performing a conditional check that each line should start with the open
string and have the pattern = -1
in the line. The -1
means that the openat
SYS CALL had returned an error.
$ strace -f -e trace=file python file_404.py 2>&1 | awk '/^open/ && /= -1/ {print}'
The output now will be simpler and easier to analyze:
openat(AT_FDCWD, "/home/devmessias/anaconda3/pyvenv.cfg", O_RDONLY) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/tmp/arquivo_404.csv", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/tmp/arquivo_permission.csv", O_RDONLY|O_CLOEXEC) = -1 EACCES (Permission denied)
If you are using the last versions of strace
(5.2>=) you can use a more simple command like this:
$ strace -f -e trace=openat -e status=failed python file_404.py
Is this process using a cache? Where can I find this cache? Which configs files does this process use?
It is a tedious task to search for cache or configs files used by a process and sometimes we need to delete these cache files. Another task that appears very often is to discover which files a process is using or if it is doing anything strange in your system. Maybe you want to discover if your python script is using the correct libs and files. For all these situations, you can use the following command:
$ strace -f -e trace=file command
If you want to get just the SYS CALLs that was perfomed succesfully do the next:
$ strace -f -e trace=file comando 2>&1 | awk '/^open/ && !/= -1/ {print}'
In the above command the !
is as a negation parameter for the awk
search.
Again, the new versions of strace allows the status flag:
$ strace -f -e trace=openat -e status=successful python file_404.py
Dissecting your database system
The strace
and lsof
are powerful tools to discover and solve bugs. You don’t need to believe me. Just check the number of bugs in MySQL that strace
was used to tackle
“using strace for mysql troubleshooting. Thus, it’s not a surprise that we can use strace
in our daily life dealing with databases.
Is this process well behaved? How many connections does it have?
In MlOps or DevOps we always need to deal with database connections. Sometimes we must check if a process is closing these connections or is creating more than necessary. If these connections are made using the TCP protocol you can list all established connections using the following command:
$ lsof -iTCP -sTCP:ESTABLISHED
As expected, we get a lot of unwanted information like website addresses and other application communications. If we want to list just the TCP connection in a process, we must pass the PID like this:
$ lsof -iTCP -sTCP:ESTABLISHED -p 22157
COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME
python 22157 devmessias 4u IPv4 9474517 0t0 TCP localhost:35932->localhost:mysql (ESTABLISHED)
python 22157 devmessias 5u IPv4 9474518 0t0 TCP localhost:35934->localhost:mysql (ESTABLISHED)
python 22157 devmessias 6u IPv4 9475529 0t0 TCP localhost:37048->localhost:5000 (ESTABLISHED)
As can you see we also have some connections in our server that are not related to the mysql
. If we want to investigate just the mysql
connections between all the processes in our system just do:
$ lsof -iTCP:mysql -sTCP:ESTABLISHED
python 22157 devmessias 4u IPv4 9474517 0t0 TCP localhost:35932->localhost:mysql (ESTABLISHED)
python 22157 devmessias 5u IPv4 9474518 0t0 TCP localhost:35934->localhost:mysql (ESTABLISHED)
The process identified by 22157 PID has two connections with our mysql server.
Notice we have used a pattern in the -i
argument. This pattern follows this structure:
lsof -i[protocol][@hostname|hostaddr][:service|port]
Everything is working proprely?
Let’s give you a taste of what we can extract from the mysql service using strace
in order to get a comprehension about the processes.
Get the PID of mysqld
$ps aux | grep -i '[m]ysqld'
mysql 14001 1 0 13:41 ? 00:00:18 /usr/sbin/mysqld
We will ask the strace
to increase the size of the strings up to 50 characters (-s 50
) and we will omit any SYS CALL of the type io_getevents
, nanosleep
and futex
.
$ sudo strace -s 50 -f -e trace=!io_getevents,nanosleep,futex -p 10767
Chose one of your databases and tables to do the following examples. Here, I’ve perfomed this SQL query:
SELECT * FROM product WHERE product_id = 1;
My output prompted some stuff like this
[pid 14334] recvfrom(52, ",\0\0\0", 4, MSG_DONTWAIT, NULL, NULL) = 4
[pid 14334] recvfrom(52, "\3SELECT * FROM product WHERE product_id = 1", 44, MSG_DONTWAIT, NULL, NULL) = 44
[pid 14334] sendto(52, "\1\0\0\1\5F\0\0\2\3def\16farmers_market\7product\7product\nprodu"..., 477, MSG_DONTWAIT, NULL, 0 <unfinished ...>
[pid 14207] sched_yield( <unfinished ...>
[pid 14334] <... sendto resumed>) = 477
[pid 14207] <... sched_yield resumed>) = 0
...
We can see the SQL query above. This also shows how strace
can help us to gain a deep understanding about our system. We can see how the sql queries are comunicating using de recvfrom
and sendfrom
calls. The man 2 recvfrom
says the first number, 52, represents the file descriptor associated with a unix socket.
We can use this approach to investigate $IO$ problems ( using-strace-in-linux-to-troubleshoot-database-performance-issues) as well many others. But let’s simulate a lock condition and see what happens.
Start a session and initiate any transaction. Don’t finish with a COMMIT; command!
# first session
MariaDB [you_db]> BEGIN;
Query OK, 0 rows affected (0.001 sec)
MariaDB [your_db]> UPDATE customer SET customer_first_name = 'something' WHERE customer_id=1;
Query OK, 0 rows affected (0.001 sec)
Rows matched: 1 Changed: 0 Warnings: 0
MariaDB [you_db]>
Looks in the strace
output, something like this should appear
[pid 14334] recvfrom(52, "I\0\0\0", 4, MSG_DONTWAIT, NULL, NULL) = 4
[pid 14334] recvfrom(52, "\3UPDATE customer SET customer_first_name = 'Brun"..., 73, MSG_DONTWAIT, NULL, NULL) = 73
[pid 14334] sendto(52, "0\0\0\1\0\0\0\3\0\0\0(Rows matched: 1 Changed: 0 Warnings:"..., 52, MSG_DONTWAIT, NULL, 0) = 52
[pid 14334] recvfrom(52, 0x7fd354007348, 4, MSG_DONTWAIT, NULL, NULL) = -1 EAGAIN
[pid 14334] poll([{fd=52, events=POLLIN|POLLPRI}], 1, 28800000
The poll
is a system call that will wait for any change in the file descriptor 52. The process is waiting for the COMMIT;
clause in our first mysql session. Note the absence of the enclosing )
in the last line.
Open another mysql session, try to execute the same SQL query (whitouth the BEGIN)
# second session
MariaDB [your_db]> UPDATE customer SET customer_first_name = 'something' WHERE customer_id=1;
The db row it’s in a lock state. If we look in the strace
output just some new lines will be printed, like this
<unfinished ...>
[pid 29884] recvfrom(83, "I\0\0\0", 4, MSG_DONTWAIT, NULL, NULL) = 4
[pid 29884] recvfrom(83, "\3UPDATE customer SET customer_first_name = 'someth"..., 73, MSG_DONTWAIT, NULL, NULL) = 73
Our second transction is waiting for the first to be commited in our db. If you perform a commit in the first session this will hapen in the strace
output:
[pid 14334] <... poll resumed>) = 1 ([{fd=52, revents=POLLIN}])
[pid 14334] recvfrom(52, "\7\0\0\0", 4, MSG_DONTWAIT, NULL, NULL) = 4
[pid 14334] recvfrom(52, "\3COMMIT", 7, MSG_DONTWAIT, NULL, NULL) = 7
...
Your first transaction was performed and the lock was released allowing the second transaction to be executed.
Extras related to files (/proc/
) and strace
I gave you some examples about connection issues, regular files accidents and database management. Here I’ll give more examples that I believe are not so useful although they are very interesting.
Creating a SYS CALL summary: what does my program do?
An overview of what your program does can help you to perform some optimizations or discover something strange. We can use the strace -c
to get an overview of the system calls. For example, the following command gave me a summary of system calls of a make sync-env
that I’m using in one of my projects:
$ strace -c -e trace=!\wait4 make sync-env
The exclamation mark, -e trace=!\wait4
, in the above command tells strace
to ignore any wait4
system call.
What I’ve obtained was this
% time seconds usecs/call calls errors syscall
------ ----------- ----------- --------- --------- ----------------
14,54 0,000209 6 33 13 openat
13,01 0,000187 17 11 vfork
12,32 0,000177 7 25 mmap
8,49 0,000122 3 31 close
8,42 0,000121 5 21 rt_sigprocmask
8,14 0,000117 6 17 read
6,89 0,000099 5 19 11 stat
5,85 0,000084 3 23 fstat
2,85 0,000041 8 5 mprotect
2,64 0,000038 9 4 write
2,51 0,000036 2 16 fcntl
2,02 0,000029 3 9 rt_sigaction
1,95 0,000028 14 2 readlink
1,95 0,000028 14 2 getdents64
1,25 0,000018 4 4 brk
1,25 0,000018 18 1 1 access
1,25 0,000018 3 5 pipe
1,11 0,000016 4 4 ioctl
0,84 0,000012 6 2 getcwd
0,70 0,000010 10 1 munmap
0,49 0,000007 7 1 lstat
0,49 0,000007 7 1 execve
0,49 0,000007 3 2 prlimit64
0,35 0,000005 5 1 chdir
0,21 0,000003 3 1 arch_prctl
------ ----------- ----------- --------- --------- ----------------
100.00 0,001437 241 25 total
What can we extract from the above output? A lot of things. For example make sync-env
spent 14% of the time doing system calls of the type opennat
and 20 of these 33 openat
calls had some problem.
Did this process start with the correct environment variables?
We have several reasons to use environment variables. These variables are easy to configure, improve security, and prevent errors. So they are used everywhere to store a secret, point to a lib and much more. However, sometimes we are not so sure whether a process is using the correct environment variables or not.
Let’s try something simple
$ ANSWER=42 python script.py
As I said previously the /proc
is responsible for storing the state of any process running in your machine. So, it’s not a surprise that we can extract the environment variables from that.
To print the environment variables of the process with a PID 4301
just call this cat /proc/4031/environ
and get an ugly output. To improve the output we can use the tr
and replace the null characters \0
by break lines \n
. Like this:
$ tr '\0' '\n' < /proc/4031/environ
You will have a output similar to this
ANSWER=42
SHELL=/bin/bash
LANGUAGE=en_US
JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/bin/java
...more stuff
If you want to look just at the environment variables with a given string pattern you can use awk
, grep
, or anything that you feel more comfortable. For example, doing this
$ tr '\0' '\n' < /proc/4031/environ 2>&1 | awk '/^CONDA/ {print}'
I’ve obtained this
CONDA_EXE=/home/devmessias/anaconda3/bin/conda
CONDA_PREFIX=/home/devmessias/anaconda3
CONDA_PROMPT_MODIFIER=(base)
CONDA_SHLVL=1
CONDA_PYTHON_EXE=/home/devmessias/anaconda3/bin/python
CONDA_DEFAULT_ENV=base
I forgot to redirect the outputs! What can I do now?
Suppose you started a process without redirecting the output to a file. Maybe you forgot or you are too optimistic about the problems and now you want to persist the errors. If restart the process it’s out of question you can use the strace
to solve your headache. Let’s see how we can solve that.
The system calls responsible to request the kernel to write in the stdin, stdout and stderr is the write
. If you want to know more you should read the manual
$ man 2 write
But the most important part of the write
manual is on the top and is this:
NAME
write - write to a file descriptor
SYNOPSIS
#include <unistd.h>
ssize_t write(int fd, const void *buf, size_t count);
As you can see the first argument is an integer that represents the file descriptor. If fd=1 this means a writing in the stdout and if fd=2 the writing will be in the stderr. So, it’s an easy piece here. We just need to monitor any sys call write
with the fd
equals to $1$ or $2$ and save the values in a file.
When I need to do this (two or three times in my life time) I use the following pattern
$ strace -f -t -etrace=write -s 1000 -p 4320 2>&1 | grep --line-buffered -e 'write(2, ' -e 'write(1, ' > out.txt
I’m asking strace
to monitor any SYS CALL write
from the process with the PID 4320
or children created by them (-f
) . And saving the output in the out.txt
file.
The following code changes the server_mlops.py
to help you to explore more this scenario.
# server_mlops.py
import time
import flask
import sys
app = flask.Flask(__name__)
@app.route('/')
def hello_world():
sleep_time = flask.request.args.get('sleep', default=10, type=int)
print('sleep_time:', sleep_time)
for i in range(sleep_time):
print(f'INFO: {i} of sleep_time \n asdf \t ')
print(f'ERROR: Example msg {i}', file=sys.stderr)
time.sleep(1)
return 'Hello World!'
if __name__ == '__main__':
app.run()
How this program has been called? What is the working dir of the process?
Ok, you can answer these questions using htop
. However we can get the same information without installing anything, just looking in a file inside of the /proc/
folder, like this
$ tr '\0' '\t' < /proc/A_PID_NUMBER/cmdline
In my case I’ve obtined this
python client.py --sleep 1000
To discover the working directory do this
$ readlink /proc/A_PID_NUMBER/cwd
Conclusion & Suggestions
I hope that after reading this post you can be more prepared to face problems in your daily tasks. But if you have any suggestion you can send me an email<EMAIL_ADDRESS>Thanks!
If you want to know more about strace
and linux in general I strongly recommend spent some hours navigating and reading Julia Evans’ blog
https://jvns.ca/.


@Target([AnnotationTarget.CLASS]) annotation class CordaSerializationTransformRenames
This annotation is used to mark a class as having had multiple elements renamed as a container annotation for instances of CordaSerializationTransformRename, each of which details an individual rename.
<init> |
This annotation is used to mark a class as having had multiple elements renamed as a container annotation for instances of CordaSerializationTransformRename, each of which details an individual rename. CordaSerializationTransformRenames(vararg value: CordaSerializationTransformRename) |
value |
an array of CordaSerializationTransformRename vararg val value: Array<out CordaSerializationTransformRename> |


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Guidance
We will continue to issue indicative results prior to the final data being published as official statistics on the FE choices comparison website.
In addition to the end of survey report being issued in May 2017, 2 in-survey reports will also be issued to eligible colleges and training organisations to inform them of their survey responses to date. These additional reports are available from the provider extranet .
Information to help guide providers through the learner satisfaction survey and community learning trial indicative results report.
Following the approach taken last year we will continue to issue indicative results prior to the final data being published as official statistics on the FE choices comparison website.
In addition to the end of survey report being issued in May 2015, 2 in-survey reports will also be issued to eligible colleges and training organisations to inform them of their survey responses to date. These additional reports are available from the provider extranet .
For those colleges and training providers also in scope for the community learning trial, a final indicative report will also be available In May 2015 on the provider extranet .
The above documents will help guide you through your results in these reports.


Selected date is: {{ mc.selectedDatetime | date:mc.selectedFormat }}
Date Input Form Field
Inline Datepicker Component
Popup Datepicker Component
Note the calendar icon is provided by the Fontawesome icon font included on this page as a dependency.


3. Instructor’s Tools¶
3.1. OpenDSA and the LMS¶
OpenDSA now works in conjunction with a Learning Managment System (LMS). Initially, only Canvas is supported, but we hope to support more systems in the near future. All tasks related tc class roll management, creating assignments from exercises, due dates, and tracking scores and progress are done using the standard tools provided by the LMS.


Guidance
Sets out the rules for providers who receive funding from the SFA to offer education and skills training for 2014 to 2015.
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If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 3.19MB , 68 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 304KB , 12 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
As an alternative to downloading the pdf, the funding rules are also available as web pages on the SFA funding rules 2014 to 2015 collection .
The funding rules:
This addendum changes the eligibility of an individual, aged 19 to 24, to access a traineeship. Individuals will now be able, from 1 January 2015, to access a traineeship if they already have a full level 2 qualification.
You can see the main changes from the funding rules of 2013 to 2014 in the summary of changes document.
It is not an exhaustive list of all the changes between the two funding rules documents.
You must refer to the main SFA funding rules 2014 to 2015 document for the definitive rules which are part of the terms and conditions of the funding agreements and the 24+ Advanced Learning Loans Facility Conditions between the Chief Executive of Skills Funding and all providers of education and training who receive funding from the Chief Executive of Skills Funding or a 24+ Advanced Learning Loan (Loan) Facility.
These documents set out the funding rules which apply to the new Trailblazer apprenticeship standards. In setting out the rules, we have provided additional context and explanation to help providers delivering training and assessment for the new Trailblazer apprenticeship standards.
These rules apply from 1 September 2014 to 31 July 2015 for all organisations in receipt of funding for the delivery of training or the assessment of Trailblazer apprenticeships for the funding year 2014 to 2015.
You can see the main changes from Version 1 of the Trailblazer apprenticeships funding rules 2014 to 2015 in the summary of changes document.
It is not an exhaustive list of all the changes between the 2 funding rules documents.
You must refer to the main Trailblazer apprenticeships funding rules 2014 to 2015 Version 2 for the definitive rules which are part of the terms and conditions of the funding agreements between the Chief Executive of Skills Funding and all providers of education and training who receive funding from the Chief Executive of Skills Funding.
Published: 24 February 2014
Updated: 27 March 2015
From: Skills Funding Agency
Part of: Further education and training


Nokia SBC Auto Deployment Web User Guide
MGW 7510 Cloud Edition is Online
iSBC/iSBC Cloud is Under Construction


#INTERACTIVE COMPUTER GRAPHICS
##A TOP-DOWN APPROACH WITH SHADER-BASED OPENGL®
###EDWARD ANGEL
University of New Mexico
###DAVE SHREINER
ARM, Inc.
Here you have the examples of the book ordered by chapters.
This software is provided under the MIT License (http://opensource.org/licenses/MIT). Copyright (c) <2012-2015> Ed Angel and Dave Shreiner
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


{% include "pages/head.html" %}
{# The preloader - showing the oo-sign #}
{% include "pages/menubar.html" %}
{% include "pages/home.html" %} {% include "pages/news.html" %} {% include "pages/manifest.html" %} {% include "pages/landprice.html" %} {% include "pages/footer.html" %}
{% include "pages/javascript.html" %}


{% extends "base.html" %} {% load bootstrap4 %} {% block header-footer %}
We've emailed you instructions for setting your new password, if an account exists with this email you entered, you will received it shortly.If it haven't arrived in a few minutes, please double check your email address is correct or check your spam folder.


Publish Private Activity
Sprint
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while
loops that iterate
over collections and can be replaced with enhanced for
loops (foreach iteration syntax).
Example:
Iterator it = c.iterator();
while(it.hasNext()) {
Object obj = it.next();
System.out.println(obj);
}
Can be replaced with:
for (Object obj : c) {
System.out.println(obj);
}
This inspection only reports if the language level of the project or module is 5 or higher.


Exotic Pets
We offer specialized care for reptiles, rodents, birds, and other exotic pets.
Wisdom Pet Medicine strives to blend the best in traditional and alternative medicine in the diagnosis and treatment of companion animals including dogs, cats, birds, reptiles, rodents, and fish. We apply the wisdom garnered in the centuries old tradition of veterinary medicine, to find the safest treatments and cures.
We strive to be your pet's medical experts from youth through the senior years. We build preventative health care plans for each and every one of our patients, based on breed, age, and sex, so that your pet receives the most appropriate care at crucial milestones. We want to give your pet a long and healthy life.
We offer specialized care for reptiles, rodents, birds, and other exotic pets.
Our therapeutic grooming treatments help battle fleas, allergic dermatitis, and other challenging skin conditions.
Wellness and senior exams, ultrasound, x-ray, and dental cleanings are just a few of our general health services.
Let our nutrition experts review your pet's diet and prescribe a custom nutrition plan for optimum health and disease prevention.
We offer the latest advances in safe and effective prevention and treatment of fleas, ticks, worms, heart worm, and other parasites.
Our veterinarians are experienced in modern vaccination protocols that prevent many of the deadliest diseases in pets.
Md. Montasir Haque is the guardian of Missy, a three-year old Llaso mix, who he adopted at e
Itrat Murin spends much of her free time helping the local rescue organization - a Maine Coon Cat who is part of the large Chase household, including two
Itrat Murin spends much of her free time helping the local rescue organization find homes for animals, such two
Bipul walked into Dr. Sanders front door when he was moving into a new house. After searching for weeks for Leroy's guardians, he decided to make Leroy a part of his pet family, and now has three cats.
During the summer, our rabbit, Tonto, began to have severe redness and itching on his belly and feet. Through diagnostic testing, we learned that Tonto is severely allergic to over a dozens kinds of grass pollens. We've now been doing allergy injections for several months, and his itching and redness have nearly gone away. I'm very thankful to the veterinarians and staff at Wisdom for the excellent care Tonto received, and for nipping his allergies in the bud, so to speak. Jane H.
When Samantha, our Siamese cat, began sleeping all the time and urinating excessively, we brought her to see the specialists at Wisdom. After running a blood test, Dr. Winthrop confirmed what we all feared - Samantha was showing signs of diabetes. The doctor put us on a daily routine to provide Samantha insulin injections, and showed us how to administer the shots. We weren't sure we could do it, but the gang at Wisdom was very supportive and encouraging. Now, two years later, Samantha is still free from any complications of diabetes, and her blood sugar regularly tests normal. Thank you, Wisdom Pet Medicine! The McPhersons
The staff at Wisdom worked tirelessly to determine why our three-year old Golden Retriever, Roxie, started going into sudden kidney failure. They stabilized her and provided fluids until her kidneys were again functioning normally, but it was still a mystery as to what caused her health to decline so quickly. The vet noted our address on Roxie's chart, and asked if we lived on one of the orchards in the vicinity, and if Roxie had a habit of eating grapes off the vine. Our answer was "of course – she's a Retriever." That day we learned just how toxic grapes and raisins are to pets, and Roxie is no longer allowed to roam unattended in the orchard. John B
Wisdom Pet Medicine is the only clinic around that will even book pet fish for appointments. When our 13-year old Comet goldfish, McAllister, turned from silvery white to an angry red, we called around, urgently trying to find a veterinarian who could help. Wisdom not only got us in the same day, but also was able to diagnose McAllister as having a severe case of septicemia.  I still smile upon remembering Dr. Chase pulling out an old vet school textbook to calculate the correct antibiotic dose for a fish! Lorraine S


Introduce tuppence
Making news friends in the adult world is hard. Frisco is the perfect filter matching you the most interesting people in your area.
---
title: Home
description: The latest app to help you find new friends with common interests.
image: /images/home_bg.jpg
bottom_image: /uploads/2019-valentine-fpc.jpg
---
Art you can count on
Making news friends in the adult world is hard. Frisco is the perfect filter matching you the most interesting people in your area.
The more you tell Frisco the better it gets to know you. Frisco matches you with people who share similar interests with you.
Frisco shows you cards with people who might be a good match for friendship. Swipe left to move to the next card or right to start talking.
It's free, fun and an exciting way to meet new people.


One-click integration with QuickBooks. This provides optimal and useful information for you! No more wasting thousands of dollars on consultants.
Using cool technologies like machine learning we scrape the web for all policies that apply to you based on your QuickBooks information.
Get results that directly apply to your business. Also, our platform provides a simple way to understand the policies and even be active in the community!
Template by BlackTie.co
Developed by Students at the Rochester Institute of Technology


This is your first panel
This is your second panel
This is your third panel
IDR 0 delivery fee for orders over IDR 100


For the period I have been coding here are some projects I recently completed:
About Me:
I am currently a university student majoring in computer science in strathmore university. I developed an interest in computers at a very young age and always hung around my parentsas they worked on their desktop. I went ahead and taught myself how to type since it seemed cool in movies, but after learning that I wondered "what next?". So after clearing school I took a class on computer packages but still the knowledge gained seemed so shallow. That is when I decided to go deeper into computers and how they function. And since the world is getting digital I thought it wise to venture into how websites are made and how they work. I tried teaching mysel a few times but it dawned on me that I had commitment issues, I could not keep up with the training and always gave up early. I just could not accept that as fate so I asked around and lucky enough a friend pointed out a coding community known as Moringa. That officially marked the start of my journey as a coder.
I'm quite an outgoing person and love outdoor activities. For example:


When you work with us, you are a team of committed collaborators.
All aspects of our software development process are intergrated, iterative and agile.
Our approach unifies design, development and project management to create exceptional products.
We start each project by understanding your business goals, the users needs and the product requirements.
Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code, our team will spend the necessary time needed to understand your product vision.
The outcome of this scoping session is proposal or high-level statement of work
Based on your requirements we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services including branding strategy, interaction and visual design and user experience testing.
Throughout your project our designers create and implement visual designs and workflows, solicit user feedback, and work with you to make sure what gets built is what is needed.
Our engineers are fluent in the latest enterprise, mobile and web development technologies.
They collaborate with your team to write, test and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve.


Businesses are made of relationships
Those relationships can be complicated, but Zendesk helps make them better
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{% load static %}
SkiMatch is a UVA restricted web application modeled after LinkedIn that allows students and faculty to create a profile page and post information about themselves, including what skills/expertise they have. Users can share the classes they have taken and the interests they have as well as the organizations of which they are a part. SkiMatch enables students and faculty to easily search for one another to find others that share similar hobbies and experiences.


Add Courses Form
CourseId:
CourseName:
Prerequisites (Separated by Comma):
Block:
Start Date:
End Date:


It is possible to use the edit feature and the dropdown options array to build a cascading dropdown setup, where the options in the second dropdown depend on the selection in the first dropdown. Thanks to @ajain27 for the sample code.


Read 10x Genomics Chromium cell
counts from barcodes.tsv
, genes.tsv
, and matrix.mtx
files.
loadCellRanger(uploadDir, refDataDir, interestingGroups = "sampleName", sampleMetadataFile, prefilter = TRUE, ...)
| uploadDir | Path to CellRanger output directory. This directory path
must contain |
|---|---|
| refDataDir | Directory path to cellranger reference annotation data. |
| interestingGroups | Character vector of interesting groups. First entry is used for plot colors during quality control (QC) analysis. Entire vector is used for PCA and heatmap QC functions. |
| sampleMetadataFile | Sample barcode metadata file. |
| prefilter | Prefilter counts prior to quality control analysis. |
| ... | Additional arguments, to be stashed in the |
bcbioSingleCell.
This function is a simplified version of loadSingleCell()
optimized for handling CellRanger output.
# NOT RUN { # Mus musculus # Run with Ensembl 88 transcriptome FASTA and GTF files bcb <- loadSingleCell( uploadDir = file.path("indrop_rnaseq", "final"), interestingGroups = c("genotype", "treatment"), sampleMetadataFile = file.path("meta", "sample_metadata.xlsx"), gffFile = file.path( "annotations", "Mus_musculus.GRCm38.88.chr_patch_hapl_scaff.gtf.gz"), ensemblVersion = 88) # }


You probably know that native PHP extensions are compiled into *.so files on unix-like systems, and *.dll files in Windows environments, and that the global php.ini file holds a list of all extensions available on your system. This means that if you're building your own extension, you are also going to create such a *.so or *.dll file and you have to update the PHP configuration file so that your own extension is loaded by PHP.
Before we explain how you can create your own extension, we first explain what PHP does to load an extension. When PHP starts, it loads the *.ini configuration file(s) from its configuration directory and for each "extension=name.so" line in these config files, it opens the appropriate library, and calls the "get_module()" function from it. Each extension library (your extension too) must therefore define and implement this "get_module()" function. The function is called by PHP right after the library is loaded (and thus way before pageviews are handled), and it should return a memory address that points to a structure that holds information about all functions, classes, variables and constants that are made available by the extension.
The structure that the get_module() returns is defined in the header files of the Zend engine, but it is a pretty complicated structure without good documentation. Luckily, the PHP-CPP library makes life easier for you, and offers an Extension class that can be used instead.
#include <phpcpp.h>
/**
* tell the compiler that the get_module is a pure C function
*/
extern "C" {
/**
* Function that is called by PHP right after the PHP process
* has started, and that returns an address of an internal PHP
* structure with all the details and features of your extension
*
* @return void* a pointer to an address that is understood by PHP
*/
PHPCPP_EXPORT void *get_module()
{
// static(!) Php::Extension object that should stay in memory
// for the entire duration of the process (that's why it's static)
static Php::Extension myExtension("my_extension", "1.0");
// @todo add your own functions, classes, namespaces to the extension
// return the extension
return myExtension;
}
}
In the example above you see a very straightforward implementation of the get_module() function. Every PHP extension that uses the PHP-CPP library implements this function in a more or less similar way, and it is the starting point of each extension. A number of elements require special attention. For a start, the only header file that you see is the phpcpp.h header file. If you're using the PHP-CPP library to build your own extensions, you do not have to include the complicated, unstructured, and mostly undocumented header files of the Zend engine - all you need is this single phpcpp.h header file of the PHP-CPP library. If you insist, you are of course free to also include the header files of the core PHP engine - but you do not have to. PHP-CPP takes care of dealing with the internals of the PHP engine, and offers you a simple to use API.
The next thing that you'll notice is that we placed the get_module() function inside an 'extern "C"' code block. As the name of the library already gives away, PHP-CPP is a C++ library. However, PHP expects your library, and especially your get_module() function, to be implemented in C and not in C++. That's why we've wrapped the get_module() function in an 'extern "C"' block. This will instruct the C++ compiler that the get_module() is a regular C function, and that it should not apply any C++ name mangling to it.
The PHP-CPP library defines a "PHPCPP_EXPORT" macro that should be placed in front of the get_module() function. This macro makes sure that the get_module() function is publicly exported, and thus callable by PHP. The macro has a different implementation based on the compiler and operating system.
This, by the way, is also the only macro that PHP-CPP offers. PHP-CPP intends to be a plain C++ library, without using magic or tricks from pre-processors. What you see is what you get: If something looks like a function, you can be sure that it actually IS a function, and when something looks like a variable, you can be sure that it also IS a variable.
Let's move on. Inside the get_module() function the Php::Extension object is instantiated, and it is returned. It is crucial that you make a static instance of this Php::Extension class, because the object must exist for the entire lifetime of the PHP process, and not only for the duration of the get_module() call. The constructor takes two arguments: the name of your extension and its version number.
The final step in the get_module() function is that the extension object is returned. This may seem strange at first, because the get_module() function is supposed to return a pointer-to-void, and not a full Php::Extension object. Why does the compiler not complain about this? Well, the Php::Extension class has a cast-to-void-pointer-operator. So although it seems that you're returning the full extension object, in reality you only return a memory address that points to a data structure that is understood by the core PHP engine and that holds all the details of your extension.
Note that the example above does not yet export any native functions or native classes to PHP - it only creates the extension. That is going to be the next step.


Ezekiel 23:16
And as soon as she saw them with her eyes, she doted upon them, and sent messengers unto them into Chaldea.


The brown bear (Ursus arctos) is a large bear with the widest distribution of any living ursid.[2] The species is distributed across much of northern Eurasia and North America. It is one of the two largest terrestrial carnivorans alive today, rivaled in body size only by its close cousin, the polar bear (Ursus maritimus), which is much less variable in size and averages larger due to this. There are several recognized subspecies, many of which are quite well-known within their native ranges, found in the brown bear species
Learn moreHere are some bear species
The following countries have the largest populations of brown bears:


{% extends "static.html" %} {% load staticfiles %} {% block page-info %}
{% endblock %} {% block content %}| Office | Timings (Mon-Fri) |
|---|---|
| Accounts Section | 9:00 - 17:30 |
| Cash Section | 9:15 - 12:15 13:45 - 16:00 |
| Library | 8:00 - 23:00 8:00 - 16:00 (Sunday) |
| Library Xerox Section | 8:00 - 20:00 |
| Gym | 5:30 - 8:00 16:30 - 20:00 |
| Sports Complex | 16:30 - 20:00 |
SBI collect or DD, redirect to DD details page
Go to academic section, apply for bonafide.
Fill out the this form.
Pay Rs.200 per transcript at the cash section
Collect your transcripts in 10-15 days
Dean of Faculty Welfare office, AC corridor, get form, fill and get sign from HoD/Fac AD, give it back to DFW office.
Rs.1000 per room day 1
Rs.600 - day 2 onwards.


#include <PFM.hpp>
|
| | PathPlanner (Robot< double > *postion, Point< double > *target) |
| | Constructor. More...
|
| |
| double | distance () |
| | calculates the distance between the current point and the target More...
|
| |
| double | angle () |
| | calculates the angle between the current point and the target More...
|
| |
| void | repulsiveForce (std::vector< double > *Xdistance, std::vector< double > *Ydistance, std::vector< double > *laserRes) |
| | calculate the repulise force from obstacle More...
|
| |
| void | attractiveForce () |
| | calculate the attractive force from target More...
|
| |
| void | totalPotential () |
| | calculate the potential More...
|
| |
| void | setTotalPotential (std::vector< double > *Xdistance, std::vector< double > *Ydistance, std::vector< double > *laserRes) |
| | calculate the total potential More...
|
| |
| double | getSteerangle (double *robotSpeed) |
| | calculates the steering angle More...
|
| |
| double | getSpeed (double *robotSpeed) |
| | calculates the speed More...
|
| |
| void | repulsiveForce (std::vector< double > *distanceOstacle, std::vector< double > *laserRes) |
| |
| double | repulsivex (int i, std::vector< double > *distanceOstacle, std::vector< double > *laserRes) |
| |
| double | repulsivey (int i, std::vector< double > *distanceOstacle, std::vector< double > *laserRes) |
| |
| void | setTotalPotential (std::vector< double > *distanceOstacle, std::vector< double > *laserRes) |
| |
Definition at line 24 of file PFM.hpp.
◆ PathPlanner()
| PathPlanner::PathPlanner |
( |
Robot< double > * |
position, |
|
|
Point< double > * |
target |
|
) |
| |
Constructor.
Constructor object pathplanner.
- Parameters
-
| [in] | position | robot position coordinate (x, y, orientatation) |
| [in] | target | target coordinate (x, y, angle) |
- Returns
- none
Definition at line 27 of file PFM.cpp.
◆ angle()
| double PathPlanner::angle |
( |
| ) |
|
calculates the angle between the current point and the target
- Parameters
-
- Returns
- angle
Definition at line 67 of file PFM.cpp.
◆ attractiveForce()
| void PathPlanner::attractiveForce |
( |
| ) |
|
|
inline |
calculate the attractive force from target
- Parameters
-
- Returns
- none
Definition at line 134 of file PFM.cpp.
◆ distance()
| double PathPlanner::distance |
( |
| ) |
|
calculates the distance between the current point and the target
- Parameters
-
- Returns
- distance
Definition at line 55 of file PFM.cpp.
◆ getSpeed()
| double PathPlanner::getSpeed |
( |
double * |
robotSpeed | ) |
|
calculates the speed
- Parameters
-
- Returns
- speed
Definition at line 195 of file PFM.cpp.
◆ getSteerangle()
| double PathPlanner::getSteerangle |
( |
double * |
robotSpeed | ) |
|
calculates the steering angle
- Parameters
-
- Returns
- steering angle
Definition at line 180 of file PFM.cpp.
◆ repulsiveForce() [1/2]
| void PathPlanner::repulsiveForce |
( |
std::vector< double > * |
Xdistance, |
|
|
std::vector< double > * |
Ydistance, |
|
|
std::vector< double > * |
laserRes |
|
) |
| |
calculate the repulise force from obstacle
- Parameters
-
| [in] | distance | from obstacle in x diection |
| [in] | distance | from obstacle in y diection |
| [in] | laser | scan resolution |
- Returns
- none
Definition at line 82 of file PFM.cpp.
◆ repulsiveForce() [2/2]
| void PathPlanner::repulsiveForce |
( |
std::vector< double > * |
distanceOstacle, |
|
|
std::vector< double > * |
laserRes |
|
) |
| |
|
inline |
◆ repulsivex()
| double PathPlanner::repulsivex |
( |
int |
i, |
|
|
std::vector< double > * |
distanceOstacle, |
|
|
std::vector< double > * |
laserRes |
|
) |
| |
◆ repulsivey()
| double PathPlanner::repulsivey |
( |
int |
i, |
|
|
std::vector< double > * |
distanceOstacle, |
|
|
std::vector< double > * |
laserRes |
|
) |
| |
◆ setTotalPotential() [1/2]
| void PathPlanner::setTotalPotential |
( |
std::vector< double > * |
Xdistance, |
|
|
std::vector< double > * |
Ydistance, |
|
|
std::vector< double > * |
laserRes |
|
) |
| |
calculate the total potential
- Parameters
-
| [in] | distance | from obstacle in x diection |
| [in] | distance | from obstacle in y diection |
| [in] | laser | scan resolution |
- Returns
- none
Definition at line 162 of file PFM.cpp.
◆ setTotalPotential() [2/2]
| void PathPlanner::setTotalPotential |
( |
std::vector< double > * |
distanceOstacle, |
|
|
std::vector< double > * |
laserRes |
|
) |
| |
◆ totalPotential()
| void PathPlanner::totalPotential |
( |
| ) |
|
|
inline |
calculate the potential
- Parameters
-
- Returns
- none
Definition at line 146 of file PFM.cpp.
◆ _attPotScaling
| const double PFM::PathPlanner::_attPotScaling = 20000 |
|
private |
Scaling factor for attractive potential.
Definition at line 70 of file PFM.hpp.
◆ _currentOrientation
| double PFM::PathPlanner::_currentOrientation |
|
private |
Postion robot current orientation
Definition at line 73 of file PFM.hpp.
◆ _distThreshold
| double PFM::PathPlanner::_distThreshold |
|
private |
Obstacle beyond this limit are omitted in calcolus
Definition at line 68 of file PFM.hpp.
◆ _k
Deegre of calculating potential
Definition at line 69 of file PFM.hpp.
◆ _minAttPot
| const double PFM::PathPlanner::_minAttPot = 0.5 |
|
private |
Minimum attractive potential at any point.
Definition at line 72 of file PFM.hpp.
◆ _repPotScaling
| const double PFM::PathPlanner::_repPotScaling = 30000 |
|
private |
Scaling factor for repulsive potential.
Definition at line 71 of file PFM.hpp.
◆ _steer
| double PFM::PathPlanner::_steer |
|
private |
steering angle
Definition at line 84 of file PFM.hpp.
◆ _XattractiveForce
| double PFM::PathPlanner::_XattractiveForce |
|
private |
Component x attractive force
Definition at line 78 of file PFM.hpp.
◆ _XcurrentPostion
| double PFM::PathPlanner::_XcurrentPostion |
|
private |
Postion x robot, point coordinate in plane (x, y)
Definition at line 73 of file PFM.hpp.
◆ _XnewPostion
| double PFM::PathPlanner::_XnewPostion |
|
private |
Target point x coordinate in plane (x, y)
Definition at line 73 of file PFM.hpp.
◆ _XrepulsiveForce
| double PFM::PathPlanner::_XrepulsiveForce |
|
private |
Component x repulsive force
Definition at line 78 of file PFM.hpp.
◆ _XtotalPotential
| double PFM::PathPlanner::_XtotalPotential |
|
private |
Component x total force
Definition at line 82 of file PFM.hpp.
◆ _YattractiveForce
| double PFM::PathPlanner::_YattractiveForce |
|
private |
Component y attractive force
Definition at line 78 of file PFM.hpp.
◆ _YcurrentPostion
| double PFM::PathPlanner::_YcurrentPostion |
|
private |
Postion y robot, point coordinate in plane (x, y)
Definition at line 73 of file PFM.hpp.
◆ _YnewPostion
| double PFM::PathPlanner::_YnewPostion |
|
private |
Target point y coordinate in plane (x, y)
Definition at line 73 of file PFM.hpp.
◆ _YrepulsiveForce
| double PFM::PathPlanner::_YrepulsiveForce |
|
private |
Component y repulsive force
Definition at line 78 of file PFM.hpp.
◆ _YtotalPotential
| double PFM::PathPlanner::_YtotalPotential |
|
private |
Component y total force
Definition at line 82 of file PFM.hpp.
The documentation for this class was generated from the following files:


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Each printer defined in the printers key of the printer category (see above) must have its own category. The name of the category must be the same as the printer named in the installed printers list of the printer category. The keys below define the printer's characteristics.
baudRate = <number>
This key defines the printer's communication rate, for those printers which communicate via a serial connection.
device = <device name>
This key defines the device name of the installed print device.
device = Apple LaserWriter Plus v38.0 (PostScript)
driver = <file name>
This key defines the print driver used for the installed print device.
driver = PostScript driver
handshake = <hardware, software>
This key indicates the type of handshake used by the printer for those printers which communciate via a serial connection. It must be one of the values specified above.
handshake = hardware handshake = software
parity = <none, even, odd, mark, space>
This key indicates the printer's parity type for those printers which communicate via a serial connection. It must be one of the values shown above.
parity = none parity = even
port = <port name>
This key specifies the port to which the device is attached. This must be one of the values shown in the following examples.
port = LPT1 port = LPT2 port = LPT3
port = COM1 port = COM2 port = COM3 port = COM4
port = FILE
stopBits = <number>
This key specifies the number of stop bits used by the printer for those printers which communciate via a serial connection. This should be 1, 1.5, or 2.
stopBits = 1 stopBits = 1.5 stopBits = 2
type = <number>
This key defines the type of device this installed print device is. The number indicates the PrinterDriverType as defined in spool.goh .
type = 0 ; PDT_PRINTER type = 3 ; PDT_CAMERA
wordLength = <number>
This key indicates the communication word length for those printers which communciate via a serial connection. This should be a number between five and eight inclusive.
wordLength = 8


You can configure a gateway sender queue or an asynchronous event queue to persist data to disk similar to the way in which replicated regions are persisted.
Persisting a queue provides high availability for the event messaging that the sender performs. For example, if a persistent gateway sender queue exits for any reason, when the member that hosts the sender restarts it automatically reloads the queue and resumes sending messages. If an asynchronous event queue exits for any reason, write-back caching can resume where it left off when the queue is brought back online.
Geode persists an event queue if you set the enable-persistence
attribute to true. The queue is persisted to the disk store specified in the queue’s disk-store-name
attribute, or to the default disk store if you do not specify a store name.
You must configure the event queue to use persistence if you are using persistent regions. The use of non-persistent event queues with persistent regions is not supported.
When you enable persistence for a queue, the maximum-queue-memory
attribute determines how much memory the queue can consume before it overflows to disk. By default, this value is set to 100MB.
Note:
If you configure a parallel queue and/or you configure multiple dispatcher threads for a queue, the values that are defined in the maximum-queue-memory
and disk-store-name
attributes apply to each instance of the queue.
In the example below the gateway sender queue uses “diskStoreA” for persistence and overflow, and the queue has a maximum queue memory of 100MB:
XML example:
<cache> <gateway-sender id="persistedsender1" parallel="false" remote-distributed-system-id="1" enable-persistence="true" disk-store-name="diskStoreA" maximum-queue-memory="100"/> ... </cache>
API example:
Cache cache = new CacheFactory().create(); GatewaySenderFactory gateway = cache.createGatewaySenderFactory(); gateway.setParallel(false); gateway.setPersistenceEnabled(true); gateway.setDiskStoreName("diskStoreA"); gateway.setMaximumQueueMemory(100); GatewaySender sender = gateway.create("persistedsender1", "1"); sender.start();
gfsh:
gfsh>create gateway-sender --id="persistedsender1 --parallel=false --remote-distributed-system-id=1 --enable-persistence=true --disk-store-name=diskStoreA --maximum-queue-memory=100
If you were to configure 10 dispatcher threads for the serial gateway sender, then the total maximum memory for the gateway sender queue would be 1000MB on each Geode member that hosted the sender, because Geode creates a separate copy of the queue per thread..
The following example shows a similar configuration for an asynchronous event queue:
XML example:
<cache> <async-event-queue id="persistentAsyncQueue" persistent="true" disk-store-name="diskStoreA" parallel="true"> <async-event-listener> <class-name>MyAsyncEventListener</class-name> <parameter name="url"> <string>jdbc:db2:SAMPLE</string> </parameter> <parameter name="username"> <string>gfeadmin</string> </parameter> <parameter name="password"> <string>admin1</string> </parameter> </async-event-listener> </async-event-queue> ... </cache>
API example:
Cache cache = new CacheFactory().create(); AsyncEventQueueFactory factory = cache.createAsyncEventQueueFactory(); factory.setPersistent(true); factory.setDiskStoreName("diskStoreA"); factory.setParallel(true); AsyncEventListener listener = new MyAsyncEventListener(); AsyncEventQueue persistentAsyncQueue = factory.create("customerWB", listener);
gfsh:
gfsh>create async-event-queue --id="persistentAsyncQueue" --persistent=true --disk-store="diskStoreA" --parallel=true --listener=MyAsyncEventListener --listener-param=url#jdbc:db2:SAMPLE --listener-param=username#gfeadmin --listener-param=password#admin1


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{% extends 'sales/refresh_date_picker.html' %} {% block form %} {% endblock %} {% block content %}
What do these numbers mean?A Sales person earns a certain number of points for changing the status in an Opportunity and for making Phone Calls. The goal is to get to 100 points in a single day by any means necessary. As an example, a sales person can make 50 calls and give 5 demos, or they could schedule 10 demos, give 2 demos, and make 30 calls. A sales person's points will only be displayed if they made contributions within the specified timeframe.
Score Key
| Demo Scheduled: | Demo Given: | Quote Sent: | Pilot: | Needs Analysis: | Closed Won: | Closed Lost: | Phone Calls: |
|---|---|---|---|---|---|---|---|
| 5 | 10 | 0 | 0 | 0 | 0 | 0 | 1 |
DAY:
{{ sales_data.date.today }}
| Demo Scheduled | Demo Given | Quote Sent | Pilot | Needs Analysis | Closed Won | Closed Lost | Phone Calls |
|---|---|---|---|---|---|---|---|
| {{ points }} | {% endfor %}
No Points Scored Today!
{% endif %}| # | Number | Assigned To | Modified By | Name | Stage | Current Stage Changed | Modified Time | Created Time | {% for opp in sales_data.points_today.today_opps %}
|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ opp.opp_no }} | {{ opp.assigned_username }} | {{ opp.modified_username }} | {{ opp.opp_name }} | {{ opp.opp_stage }} | {{ opp.current_stage_entry_time }} | {{ opp.modifiedtime }} | {{ opp.createdtime }} |
| # | User | Call ID | Call Time | End Time | Status | Direction | Duration | Customer Number | Recording | {% for call in sales_data.points_today.today_phone_calls %}|
|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ call.assigned_username }} | {{ call.phonecall_url_id }} | {{ call.modifiedtime }} | {{ call.endtime }} | {{ call.call_status }} | {{ call.direction }} | {{ call.total_duration }} | {{ call.customer_number }} | {% if call.recording_url %}Recording | {% else %}{% endif %} |
WEEK:
{{ sales_data.date.first_of_week }} - {{ sales_data.date.end_of_week }}
{% if sales_data.today_selected_week %}Business Days: {{ sales_data.business_days.week_business_days_so_far | length }} / {{ sales_data.business_days.week_business_days | length }}
Possible Points: {{ sales_data.business_days.week_business_days_so_far_points }} / {{ sales_data.business_days.week_business_days_points }}
{% else %}Total Business Days: {{ sales_data.business_days.week_business_days | length }}
Total Possible Points: {{ sales_data.business_days.week_business_days_points }}
{% endif %}| Last Phone Call: | {{value.call}} |
| Last Opportunity: | {{value.opp}} |
| Demo Scheduled | Demo Given | Quote Sent | Pilot | Needs Analysis | Closed Won | Closed Lost | Phone Calls |
|---|---|---|---|---|---|---|---|
| {{ points }} | {% endfor %}
| # | Number | Assigned To | Modified By | Name | Stage | Current Stage Changed | Modified Time | Created Time | {% for opp in sales_data.points_week.today_opps %}
|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ opp.opp_no }} | {{ opp.assigned_username }} | {{ opp.modified_username }} | {{ opp.opp_name }} | {{ opp.opp_stage }} | {{ opp.current_stage_entry_time }} | {{ opp.modifiedtime }} | {{ opp.createdtime }} |
| # | User | Call ID | Call Time | End Time | Status | Direction | Duration | Customer Number | Recording | {% for call in sales_data.points_week.today_phone_calls %}|
|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ call.assigned_username }} | {{ call.phonecall_url_id }} | {{ call.modifiedtime }} | {{ call.endtime }} | {{ call.call_status }} | {{ call.direction }} | {{ call.total_duration }} | {{ call.customer_number }} | {% if call.recording_url %}Recording | {% else %}{% endif %} |
MONTH:
{{ sales_data.date.first_of_month }} - {{ sales_data.date.end_of_month }}
{% if sales_data.today_selected_month %}Business Days: {{ sales_data.business_days.month_business_days_so_far | length }} / {{ sales_data.business_days.month_business_days | length }}
Possible Points: {{ sales_data.business_days.month_business_days_so_far_points }} / {{ sales_data.business_days.month_business_days_points }}
{% else %}Total Business Days: {{ sales_data.business_days.month_business_days | length }}
Total Possible Points: {{ sales_data.business_days.month_business_days_points }}
{% endif %}| Demo Scheduled | Demo Given | Quote Sent | Pilot | Needs Analysis | Closed Won | Closed Lost | Phone Calls |
|---|---|---|---|---|---|---|---|
| {{ points }} | {% endfor %}
| # | Number | Assigned To | Modified By | Name | Stage | Current Stage Changed | Modified Time | Created Time | {% for opp in sales_data.points_month.today_opps %}
|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ opp.opp_no }} | {{ opp.assigned_username }} | {{ opp.modified_username }} | {{ opp.opp_name }} | {{ opp.opp_stage }} | {{ opp.current_stage_entry_time }} | {{ opp.modifiedtime }} | {{ opp.createdtime }} |
| # | User | Call ID | Call Time | End Time | Status | Direction | Duration | Customer Number | Recording | {% for call in sales_data.points_month.today_phone_calls %}|
|---|---|---|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ call.assigned_username }} | {{ call.phonecall_url_id }} | {{ call.modifiedtime }} | {{ call.endtime }} | {{ call.call_status }} | {{ call.direction }} | {{ call.total_duration }} | {{ call.customer_number }} | {% if call.recording_url %}Recording | {% else %}{% endif %} |