Proxy Configuration |
Proxy Configuration covers the following topics:
The Java Control Panel provides four proxy options via the Network Setting subpanel:
If "Use browser settings" is selected, then proxy information is entered entirely through the browser. For Internet Explorer, go to Tools>Internet Options ... and select the Connections tab and then LAN Settings ... ; for Netscape, go to Edit>Preferences ... and select Advanced under Category and then Proxies. How this works and the three types of connections that can be set up through the browserDirect, Manual, and Automaticare described in the following sections.
If you select "Use proxy server" in the Java Control Panel, you have two choices here:
If you select "Use automatic proxy configuration script", then you
must enter the URL for the location of the JavaScript called FindProxyForURL(URL
url)
that returns the proxy server to be used for a URL. Support for
this script is the same as described below under Automatic Proxy Configuration.
Direct connection does not use a proxy. For certain situations, such as when mobile users connect to the company through a modem, direct connection to the intranet environment is required, and proxies should not be used in these cases.
Because browsers on different platforms store proxy information differently, there is no generic mechanism to obtain proxy information. Here's how proxy information is obtained for two different browser-platform combinations:
Microsoft Internet Explorer: Internet Explorer stores proxy
information in the same set of keys in the windows registry. Java Plug-in and
Java Web Start extract this information directly from the registry.
Mozilla: Mozilla stores proxy information in a preference file under the user profile directory on the local machine. Mozilla also has public APIs available for determining proxy information. Java Plug-in uses the Mozilla public APIs to obtain the proxy information; Java Web Start obtains the proxy information through reading and parsing the preference file.
Netscape Navigator: Navigator stores proxy information in a preference file under the user profile directory on the local machine. Java Plug-in and Java Web Start read and parse this file to obtain the proxy information.
Java Plug-in and Java Web Start obtain proxy information at startup time. If you change the proxy settings after Java Plug-in or Java Web Start have started, you may force reloading of the proxy information from the browser through the p option in the Java Console. Java Web Start is restarted for each application, so new proxy information will be used automatically on subsequent launches.
Internet Explorer: Java Plug-in and Java Web Start recognize and supports the proxy server and port setting associated with the protocol. IE supports various syntaxes in the proxy server bypass list, as follows:
For example, if you specify "<IP_ADDRESS>;*.eng;http://*.com" in the proxy server bypass list, then the browser bypasses the proxy whenever one of the following occurs:
Currently Java Plug-in and Java Web Start support the first two syntaxes in the proxy server bypass list in IE. IE also supports bypassing the proxy server for local (intranet) addresses without using the proxy server bypass list. Java Plug-in and Java Web Start support this option by bypassing the proxy server if the URL hostname is plain; i.e., the hostname contains no dot (.).
Mozilla and Netscape Navigator: Java Plug-in and Java Web Start recognize and supports the proxy server and port setting associated with the protocol. For example, if you specify ".eng,.sun.com" in the proxy server bypass list in Mozilla , it bypasses the proxy whenever the URL hostname ends with ".eng" or ".sun.com". Java Plug-in and Java Web Start fully support this syntax in the proxy server bypass list in Mozilla and Navigator.
For more information about manual proxy configuration in your browser, consult the user guide for your browser.
Automatic proxy configuration is supported in the browser by setting a particular URL that contains a JavaScript file with .pac or .js extension. This file contains a function called FindProxyForURL that contains the logic to determine which proxy server to use when the browser receives a connection request. This function is written by the system administrator for the particular intranet environment. When the browser starts up, it recognizes the URL of the JavaScript file and downloads the file to the local machine using direct connection. Then whenever it needs to make a new connection, the browser executes the JavaScript function FindProxyForURL in the file to obtain the proxy information to set up the connection.
Internet Explorer: During startup, Java Plug-in downloads
the JavaScript file to the local machine using direct connection. Then whenever
it needs to make a new connection, it executes the FindProxyForURL
function to obtain the proxy information using the JavaScript engine in Internet
Explorer.
Mozilla/Netscape Navigator: During startup, Java Plug-in
downloads the JavaScript file to the local machine using direct connection.
Then
whenever it needs to make a new connection, it executes the FindProxyForURL
function to obtain the proxy information by using the JavaScript engine in Mozilla/Navigator.
Windows: During startup, Java Web Start downloads the JavaScript
file to the local machine using direct connection. Then whenever it needs to
make a new connection, it executes the FindProxyForURL
function
to obtain the proxy information using the JavaScript engine in Internet Explorer.
Linux/Solaris: During startup, Java Web Start downloads the
JavaScript file to the local machine using direct connection. Then whenever
it needs to make a new connection, it will parse the FindProxyForURL
function and try its best guess to obtain the proxy information.
Notes on FindProxyForURLGiven a JavaScript engine, the following is applicable to Java Plug-in on all platforms and to Java Web Start on Windows only.
|
For more information about automatic proxy configuration in your browser, consult the user guide for your browser.
java.net.ProxySelector
API in J2SE
5.0Developers may sometimes need to determine the proxy configuration of a given
host. By knowing the proxy configuration they can write more intelligent code
to connect to the host through the proper proxy server. In J2SE 5.0, java.net.ProxySelector
is a new API for proxy configuration support. Here is a simple code example:
private Proxy findProxy(URI uri)
{
try
{
ProxySelector selector = ProxySelector.getDefault();
List<Proxy> proxyList = selector.select(uri);
if (proxyList.size() > 1)
return proxyList.get(0);
}
catch (IllegalArgumentException e)
{
}
return Proxy.NO_PROXY;
}


|
Drake
|
Classes | |
| class | AllegroCommandReceiver |
| Handles lcmt_allegro_command messages from a LcmSubscriberSystem. More... | |
| class | AllegroHandMotionState |
| Detecting the state of the fingers: whether the joints are moving, or reached the destination, or got stuck by external collisions in the midway. More... | |
| class | AllegroStatusSender |
| Creates and outputs lcmt_allegro_status messages. More... | |
Functions | |
| void | SetPositionControlledGains (Eigen::VectorXd *Kp, Eigen::VectorXd *Ki, Eigen::VectorXd *Kd) |
| Set the feedback gains for the simulated position control. More... | |
| std::vector< std::string > | GetPreferredJointOrdering () |
| Defines the desired ordering of the finger joints by name. More... | |
| void | GetControlPortMapping (const multibody::MultibodyPlant< double > &plant, MatrixX< double > *Sx, MatrixX< double > *Sy) |
Creates selector matrices which extract state xₛ in a known order from the plant's full x (xₛ = Sx⋅x ) and promote the controller's ordered yₛ into the full plant's input actuation (u = Su⋅uₛ ). More... | |
| DEFINE_double (constant_load, 0, "the constant load on each joint, Unit [Nm]." "Suggested load is in the order of 0.01 Nm. When input value" "equals to 0 (default), the program runs a passive simulation.") | |
| DEFINE_double (simulation_time, 5, "Desired duration of the simulation in seconds") | |
| DEFINE_bool (use_right_hand, true, "Which hand to model: true for right hand or false for left hand") | |
| DEFINE_double (max_time_step, 1.0e-4, "Simulation time step used for integrator.") | |
| DEFINE_bool (add_gravity, true, "Indicator for whether terrestrial gravity" " (9.81 m/s²) is included or not.") | |
| DEFINE_double (target_realtime_rate, 1, "Desired rate relative to real time. See documentation for " "Simulator::set_target_realtime_rate() for details.") | |
| void | DoMain () |
| GTEST_TEST (AllegroLcmTest, AllegroCommandReceiver) | |
| GTEST_TEST (AllegroLcmTest, AllegroStatusSenderTest) | |
Variables | |
| constexpr int | kAllegroNumJoints = 16 |
| const double | kLcmStatusPeriod = 0.003 |
| drake::examples::allegro_hand::DEFINE_bool | ( | use_right_hand | , |
| true | , | ||
| "Which hand to model: true for right hand or false for left hand" | |||
| ) |
| drake::examples::allegro_hand::DEFINE_bool | ( | add_gravity | , |
| true | , | ||
| "Indicator for whether terrestrial gravity" " (9.81 m/s²) is included or not." | |||
| ) |
| drake::examples::allegro_hand::DEFINE_double | ( | constant_load | , |
| 0 | , | ||
| "the constant load on each | joint, | ||
| Unit ." "Suggested load is in the order of 0.01 Nm. When input value" "equals to | 0(default)[Nm], | ||
| the program runs a passive simulation." | |||
| ) |
| drake::examples::allegro_hand::DEFINE_double | ( | simulation_time | , |
| 5 | , | ||
| "Desired duration of the simulation in seconds" | |||
| ) |
| drake::examples::allegro_hand::DEFINE_double | ( | max_time_step | , |
| 1.0e- | 4, | ||
| "Simulation time step used for integrator." | |||
| ) |
| drake::examples::allegro_hand::DEFINE_double | ( | target_realtime_rate | , |
| 1 | , | ||
| "Desired rate relative to real time. See documentation for " "Simulator::set_target_realtime_rate() for details." | |||
| ) |
| void drake::examples::allegro_hand::DoMain | ( | ) |
| void GetControlPortMapping | ( | const multibody::MultibodyPlant< double > & | plant, |
| MatrixX< double > * | Sx, | ||
| MatrixX< double > * | Sy | ||
| ) |
Creates selector matrices which extract state xₛ in a known order from the plant's full x (xₛ = Sx⋅x
) and promote the controller's ordered yₛ into the full plant's input actuation (u = Su⋅uₛ
).
The matrices are used to initialize the PID controller for the hand.
| Sx | the matrix to match the output state of the plant into the state of the finger joints in the desired order. |
| Sy | the matrix to match the output torque for the hand joint actuators in the desired order into the input actuation of the plant. |
| std::vector< std::string > GetPreferredJointOrdering | ( | ) |
Defines the desired ordering of the finger joints by name.
The fingers are ordered as [thumb, index, middle, ring] and the joints of each finger are ordered from most proximal to most distal (relative to the palm).
| drake::examples::allegro_hand::GTEST_TEST | ( | AllegroLcmTest | , |
| AllegroCommandReceiver | |||
| ) |
| drake::examples::allegro_hand::GTEST_TEST | ( | AllegroLcmTest | , |
| AllegroStatusSenderTest | |||
| ) |
| void SetPositionControlledGains | ( | Eigen::VectorXd * | Kp, |
| Eigen::VectorXd * | Ki, | ||
| Eigen::VectorXd * | Kd | ||
| ) |
Set the feedback gains for the simulated position control.
| constexpr int kAllegroNumJoints = 16 |
| const double kLcmStatusPeriod = 0.003 |


wiki / community / forks Edit this page
Edited (3f26e8d) at 2020-11-22 by Dylan Araps
FORKS OF KISS
________________________________________________________________________________
Members of the Community have forked KISS to create their own distributions with
differing software, ideas, goals, etc.
Wyvertux
________________________________________________________________________________
Wyvertux is an experimental Linux distribution that aims to completely remove
GNU utilities (if it's even possible) from the Linux build system.
Source: $/wyvertux/wyvertux
Carbs Linux
________________________________________________________________________________
Carbs Linux is an in-development Linux distribution with a suckless mindset. The
base system will consist of only the necessary programs to create a Linux
distribution.
Source: https://carbslinux.org/
pine linux
________________________________________________________________________________
An experimental linux distro with the goal of being secure, fast, and fully
suckless.
Source: https://sr.ht/~fultonbrowne/Pine-linux/
Mue Linux
________________________________________________________________________________
Mue Linux is an attempt at a minimalistic linux system with strong ideals.
You can find more information about the ideals here https://muevoid.org/ideals
Source: https://github.com/muevoid/mue-linux/
Glasnost Linux
________________________________________________________________________________
Glasnost Linux is a Linux® distribution using the Clang/LLVM toolchain and musl
libc.
Source: https://www.glasnost.org/
________________________________________________________________________________
Dylan Araps (C) 2019-2021
The registered trademark Linux(R) is used pursuant to a sublicense from the
Linux Foundation, the exclusive licensee of Linus Torvalds, owner of the mark
on a worldwide basis.


Fudgemart.com
Welcome to the fudgemart.com website. We sell:
Clothing
Electronics
Hardware
Housewares


Execution profiling is a common aid for improving software performance. The SICStus Prolog compiler has the capability of instrumenting compiled code with counters, which are initially zero and incremented whenever the flow of control passes a given point in the compiled code. This way the number of calls, backtracks, choicepoints created, etc., can be counted for the instrumented predicates, and an estimate of the time spent in individual clauses and disjuncts can be calculated.
Gauge is a graphical user interface for inspecting execution profiles. It is available as a library module (see lib-gauge).
The original version of the profiling package was written by M.M. Gorlick and C.F. Kesselman at the Aerospace Corporation [Gorlick & Kesselman 87].
Only compiled code can be instrumented. To get an execution profile of a program, the compiler must first be told to produce instrumented code. This is done by issuing the query:
| ?- prolog_flag(compiling,_,profiledcode).
after which the program to be analyzed can be compiled as
usual. Any new compiled code will be instrumented while the
compiling
Prolog flag has the value profiledcode
.
The profiling data is generated by simply running the
program. The predicate profile_data/4
(see below)
makes available a selection of the data as a Prolog term. The
predicate profile_reset/1
zeroes the profiling
counters for a selection of the currently instrumented predicates.
For more information, see the respective reference page.
profile_data(
:Spec,
?Selection,
?Resolution,
-Data)
developmentprofile_reset(
:Spec)
development


This is the total number of unique users with reporting enabled, per day. Area color represents the major version.
This is the total number of unique users joining and leaving per day. A user is counted as "joined" on first the day their unique ID is seen, and as "left" on the last day the unique ID was seen before a two weeks or longer absence. "Bounced" refers to users who joined and left on the same day.
Reappearance of users cause the "left" data to shrink retroactively.
This is the aggregated usage report data for the last 24 hours. Data based on {{.nodes}} devices that have reported in.
| 5% | 50% | 95% | 100% | |
|---|---|---|---|---|
| {{.Descr}} | {{index .Values 0 | number .Binary | commatize " "}}{{.Unit}} | {{index .Values 1 | number .Binary | commatize " "}}{{.Unit}} | {{index .Values 2 | number .Binary | commatize " "}}{{.Unit}} | {{index .Values 3 | number .Binary | commatize " "}}{{.Unit}} |
| Version | Devices | Share |
|---|---|---|
| {{.Key}} | {{.Count}} | {{.Percentage | printf "%.01f"}}% |
| {{.Key}} | {{.Count}} | {{.Percentage | printf "%.01f"}}% |
| Platform | Devices | Share |
|---|---|---|
| {{.Key}} | {{.Count}} | {{.Percentage | printf "%.01f"}}% |
| {{.Key}} | {{.Count}} | {{.Percentage | printf "%.01f"}}% |
| Compiler | Devices | Share |
|---|---|---|
| {{.Key}} | {{.Count}} | {{.Percentage | printf "%.01f"}}% |
| {{.Key}} | {{.Count}} | {{.Percentage | printf "%.01f"}}% |
| Builder | Devices | Share |
|---|---|---|
| {{.Key}} | {{.Count}} | {{.Percentage | printf "%.01f"}}% |
The following lists feature usage, as a percentage of the v0.12+ population ({{.v2nodes}} devices).
| Feature | Usage | |
|---|---|---|
| {{.Key}} | {{if ge .Pct 10.0}}{{.Pct | printf "%.0f"}}{{else if ge .Pct 1.0}}{{.Pct | printf "%.01f"}}{{else}}{{.Pct | printf "%.02f"}}{{end}}% |


| Methods |
public
|
__construct(string $haystack)
|
#
|
public
static
|
hay(string $string): Str
Initialize Str object static.
Initialize Str object static.
|
#
|
public
|
convert(string $from, string $to): string
Transform characters from one value to another.
Transform characters from one value to another.
|
#
|
public
|
header(): string
Transform header names to lowercase.
Transform header names to lowercase.
|
#
|
public
|
camelize(string $separator): string
Transform names to camelcase using a separator.
Transform names to camelcase using a separator.
|
#
|
public
|
capitelize(): string
Separate a string by uppercase letters and return them seperated.
Separate a string by uppercase letters and return them seperated.
|
#
|
public
|
snake(): string
Convert a string to snake case.
Convert a string to snake case.
|
#
|
public
|
wrap(string $wrapper): string
Wrap a string between a character.
Wrap a string between a character.
|
#
|
public
|
pull(int|null $start, int|null $end, string $mode = '8bit'): string
Subtract content from a string based on positions.
Subtract content from a string based on positions.
|
#
|
public
|
sliceStart(string $prefix): string
Slice content of the start of a string.
Slice content of the start of a string.
|
#
|
public
|
sliceEnd(string $prefix): string
Slice content of the end of a string.
Slice content of the end of a string.
|
#
|
public
|
transliterate(): string
Transliterate a string.
|
#
|
public
|
first(string|null $compare = null): string|bool
Get the first character in a string or compare it to a provided one.
Get the first character in a string or compare it to a provided one.
|
#
|
public
|
last(string|null $compare = null): string|bool
Get the last character in a string or compare it to a provided one.
Get the last character in a string or compare it to a provided one.
|
#
|
public
|
numeric(): bool
Check if string is numeric.
Check if string is numeric.
|
#
|
public
|
alnum(): bool
Check if string is alphanumeric.
Check if string is alphanumeric.
|
#
|
public
|
index(string $value, bool $sensitive = false): int
Get the index of a character in a string.
Get the index of a character in a string.
|
#
|
public
|
remove(string ...$args): string
Remove characters in a string.
Remove characters in a string.
|
#
|
public
|
replace(string|array $what, array|string $with): string
Replace needles with other needles.
Replace needles with other needles.
|
#
|
public
|
has(string $needle = ''): bool
Check if string contains a needle.
Check if string contains a needle.
|
#
|
public
|
contains(string $list = ''): bool
Check if string contains any character in the list.
Check if string contains any character in the list.
|
#
|
public
|
resembles(string ...$values): bool
Check if string consists of a part of values.
Check if string consists of a part of values.
|
#
|
public
|
slugify(string $separator = '-'): string
Slugify a string.
|
#
|
public
|
after(string $needle): string|null
Retrieve string content after the first occurrence of a specific needle.
Retrieve string content after the first occurrence of a specific needle.
|
#
|
public
|
before(string $needle): string|null
Retrieve string content before the first occurrence of a specific needle.
Retrieve string content before the first occurrence of a specific needle.
|
#
|
public
|
afterLast(string $needle): string|null
Retrieve string content after the last occurrence of a specific needle.
Retrieve string content after the last occurrence of a specific needle.
|
#
|
public
|
beforeLast(string $needle): string|null
Retrieve string content before the last occurrence of a specific needle.
Retrieve string content before the last occurrence of a specific needle.
|
#
|
public
|
between(string $start, string $end): array|null
Retrieve all the string content after a needle but before a needle.
Retrieve all the string content after a needle but before a needle.
|
#
|
public
|
betweenFirst(string $start, string $end): string|null
Retrieve first string content after a needle but before a needle.
Retrieve first string content after a needle but before a needle.
|
#
|
public
|
betweenLast(string $start, string $end): string|null
Retrieve last string content after a needle but before a needle.
Retrieve last string content after a needle but before a needle.
|
#
|


Running a standalone OpenEJB server
Configuring the OpenEJB Runtime The OpenEJB Eclipse plugin provides
support for running OpenEJB as a standalone server in Eclipse using WTP.
To setup a server, first of all, you will need to have a copy of OpenEJB extracted on your machine. Once you have that, the next step is to set up a runtime.
To set up a new runtime, click on Window, Preferences, and select Installed Runtimes under the Server category. Click the Add button.
Select OpenEJB 3.0.0 from the Apache category, and click next. If you choose to 'also create a new server' on this panel, you can add a server straight after configuring the runtime.
Browse to, or enter the path to your copy of OpenEJB. Click on Finish.
Configuring the OpenEJB Server Open the Servers view (if it isn’t
already), and right click and select New→Server.
Select OpenEJB 3.0.0 from the Apache category, ensure you have the OpenEJB runtime selected, and click Next.
Select the EJB port for the server, and select Finish.
Deploying a project In order to deploy your project to an OpenEJB
server in Eclipse, your project must be a Java EE project, with the EJB facet enabled. If your project doesn’t have the Faceted nature, you can use the OpenEJB plugin to add it. Simply select OpenEJB→Add Faceted Nature from the menu bar.
To add the EJB facet, right click on the project in the navigator, and select Properties. Select Project Facets on the left hand side. Click on the Modify Project button.
Select the EJB Module facet, and the Java Facet. Remember to select your OpenEJB runtime too. Click Next.
Enter the source folder for the EJBs in your project and click Finish.
Now right click on your OpenEJB server in the servers view, and select Add and Remove Projects.
Add your project to the server, and click Finish.
To start the server, Right click on your OpenEJB server, and select Start.


--- layout: post title: "From Primitive Obsession to Domain Modelling" description: "A string is sometimes not a string. Model it accordingly." date: 2015-01-19 8:15 UTC tags: [Software Design] --- {% include JB/setup %}
{{ page.description }}
Recently, I was reviewing some code that looked like this:
public IHttpActionResult Get(string userName) { if (string.IsNullOrWhiteSpace(userName)) return this.BadRequest("Invalid user name."); var user = this.repository.FindUser(userName.ToUpper()); return this.Ok(user); }
There was a few things with this that struck me as a bit odd; most notably the use of IsNullOrWhiteSpace. When I review code, IsNullOrWhiteSpace is one of the many things I look for, because most people use it incorrectly.
This made me ask the author of the code why he had chosen to use IsNullOrWhiteSpace, or, more specifically, what was wrong with a string with white space in it?
The answer wasn't what I expected, though. The answer was that it was a business rule that the user name can't be all white space.
You can't really argue about business logic.
In this case, the rule even seems quite reasonable, but I was just so ready to have a discussion about invariants (pre- and postconditions) that I didn't see that one coming. It got me thinking, though.
It seems like a reasonable business rule that a user name can't consist entirely of white space, but is it reasonable to put that business rule in a Controller? Does that mean that everywhere you have a user name string, you must remember to add the business rule to that code, in order to validate it? That sounds like the kind of duplication that actually hurts.
Shouldn't business rules go in a proper Domain Model?
This is where many programmers would start to write extension methods for strings, but that's just putting lipstick on a pig. What if you forget to call the appropriate extension method? What if a new developer on the team doesn't know about the appropriate extension method to use?
The root problem here is Primitive Obsession. Just because you can represent a value as a string, it doesn't mean that you always should.
The string
data type literally can represent any text. A user name (in the example domain above) can not be any text - we've already established that.
Instead of string, you can (and should) make user name a type. That type can encapsulate all the business rules in a single place, without violating DRY. This is what is meant by a Domain Model. In Domain-Driven Design terminology, a primitive like a string or a number can be turned into a Value Object. Jimmy Bogard already covered that ground years ago, but here's how I would define a UserName class:
public class UserName { private readonly string value; public UserName(string value) { if (value == null) throw new ArgumentNullException("value"); if (!UserName.IsValid(value)) throw new ArgumentException("Invalid value.", "value"); this.value = value; } public static bool IsValid(string candidate) { if (string.IsNullOrEmpty(candidate)) return false; return candidate.Trim().ToUpper() == candidate; } public static bool TryParse(string candidate, out UserName userName) { userName = null; if (string.IsNullOrWhiteSpace(candidate)) return false; userName = new UserName(candidate.Trim().ToUpper()); return true; } public static implicit operator string(UserName userName) { return userName.value; } public override string ToString() { return this.value.ToString(); } public override bool Equals(object obj) { var other = obj as UserName; if (other == null) return base.Equals(obj); return object.Equals(this.value, other.value); } public override int GetHashCode() { return this.value.GetHashCode(); } }
As you can tell, this class protects its invariants. In case you were wondering about the use of ToUpper, it turns out that there's also another business rule that states that user names are case-insensitive, and one of the ways you can implement that is by converting the value to upper case letters. All business rules pertaining to user names are now nicely encapsulated in this single class, so you don't need to remember where to apply them to strings.
If you want to know the underlying string, you can either invoke ToString, or take advantage of the implicit conversion from UserName to string. You can also compare to UserName instances, because the class overrides Equals. If you have a string, and want to convert it to a UserName, you can use TryParse.
The original code example above can be refactored to use the UserName class instead:
public IHttpActionResult Get(string candidate) { UserName userName; if (!UserName.TryParse(candidate, out userName)) return this.BadRequest("Invalid user name."); var user = this.repository.FindUser(userName); return this.Ok(user); }
This code has the same complexity as the original example, but now it's much clearer what's going on. You don't have to wonder about what looks like arbitrary rules; they're all nicely encapsulated in the UserName class.
Furthermore, as soon as you've left the not Object-Oriented boundary of your system, you can express the rest of your code in terms of the Domain Model; in this case, the UserName class. Here's the IUserRepository interface's Find method:
User FindUser(UserName userName);
As you can tell, it's expressed in terms of the Domain Model, so you can't accidentally pass it a string. From that point, since you're receiving a UserName instance, you know that it conforms to all business rules encapsulated in the UserName class.
While I've used the term encapsulation once or twice here, this way of thinking is in no way limited to Object-Oriented Programming. Scott Wlaschin describes how to wrap primitives in meaningful types in F#. The motivation and the advantages you gain are the same in Functional F# as what I've described here.
Isn't this over-engineering? A 56 lines of code class instead of a string? Really? The answer to such a question is always context-dependent, but I rarely find that it is (over-engineering). You can create a Value Object like the above UserName class in less than half an hour - even if you use Test-Driven Development. When I created this example, I wrote 27 test cases distributed over five test methods in order to make sure that I hadn't done something stupid. It took me 15 minutes.
You may argue that 15 minutes is a lot, compared to the 0 minutes it would take you if you'd 'just' use a string. On the surface, that seems like a valid counter-argument, but perhaps you're forgetting that with a primitive string, you still need to write validation and business logic 'around' the string, and you have to remember to apply that logic consistently across your entire code base. My guess is that you'll spend more than 15 minutes on doing this, and troubleshooting defects that occur when someone forgets to apply one of those rules to a string in some other part of the code base.
Primitive values such as strings, integers, decimal numbers, etc. often represent concepts that are constrained in some ways; they're not just any string, any integer, or any decimal number. Ask yourself if extreme values (like the entire APPP manuscript, Int32.MinValue, and so on) are suitable for such variables. If that's not the case, consider introducing a Value Object instead.
If you want to learn more about Encapsulation, you can watch my Encapsulation and SOLID Pluralsight course.
Comments
Mark, I enjoyed your article. I feel that this is the way to go. Too often have I seen people using arrays if bytes for images and strings for email addresses.
An important aspect of DDD is within the language and when there are people talking about user names all the time, that usually indicates that usernames are an important aspect of what is going on and should be modeled explicitly and not use primitives.
The solution doesn't look overengineered to me, although I had to defend similar code before for the same reason. Not only is it now a good place to put further validation, but also allows further distinction using other types and a polymorphism (if carefully used, they can be a delight), each of which covers different invariants.
A UserName can be moved around and used to retrieve objects. But maybe you can't do that with a class of the type InvalidUsername. In another example, maybe there are functions that deal with email eddresses - which I have often seen modeled as strings. Some accept InvalidEmailAddress objects, others accept ValidEmail addresses. While it doesn't reduce the amount of boilerplate null checks, a SendEmail function wouldn't have to do
One could simply make it to only accept valid email addresses. Their mere existence would guarantee, that the email address is valid. One could then write functions dealing with valid email addresses and some dealing with invalid ones. You can log and analyze bad account creation requests with the invalid ones, but not send email to them and prevent everyone else from doing so, depending on what kind of email address is being passed around.
Johannes, thank you for writing. You are right, it's possible to take the idea further in the way you describe. Again, such techniques aren't even limited to OOP; for instance, Scott Wlaschin explains how to make illegal states unrepresentable in F#.
In fact, the Functional approach using Sum Types (Discriminated Unions) is nicer, because it doesn't rely on inheritance :)
Interesting article. I have no qualms about creating domain types around primitives per se, but IMHO there should be a bit more complexity in the invariants than a single condition before resorting to that. In this case, I would think that the username constraint should be implemented in the User class. If other entities shared the constraint (e.g. Company.AccountName), the logic might be refactored into a NameValidator, and then referenced concretely by the entities.
A string holding a strong password would be a good candidate for promoting to something smarter.
Mark,
This is exactly right. I honestly have no comment on the concept because I have changed primitives to value objects a number of times and use something similar.
Quick side-note, and this may just be a preference: In the TryParse, a Trim()'d value is being passed into the constructor. So if I want to create two usernames " Suamere " and "Suamere", the second will fail since, unbeknownst to me, the first had been successfully created with Trim(). It seems to me that "Do not allow pre/post white-space" is a business rule. Therefore, if there is white-space, I consider that to be breaking a business rule.
My main motivation for this comment is that this UserName Object shows a perfect example of a pattern I've seen when using the TryParse pattern (or Monads). That is: The logic in the TryParse is frequently an exact duplicate of logic in another method such as the constructor. Though instead of throwing exceptions, TryParse gracefully informs the consumer of success/failure.
So business logic is duplicated in the CTOR(), IsValid(), and the TryParse(). Instead, I consider this pattern:
Let me know what you think!
~Suamere, Steven Fletcher
Mike, thank you for writing. A business rule doesn't have to be complex in order to be important. The point isn't only to encapsulate complex logic, but to make sure that (any) business logic is applied consistently.
In my experience, things often start simple, but evolve (or do they devolve?) into something more complex; when do you draw the line?
Steven, thank you for writing. You exhibit traits of critical thinking, which is always good when dealing with business logic :) In the end, it all boils down to what exactly the business rule is. As you interpret the business rule, you rephrase it as "Do not allow pre/post white-space", but that's not the business rule I had in mind.
Since I'm the author of the blog post, I have the luxury of coming up with the example, and thus, in this case, defining the business rule. The business rule I had in mind is that user names are case-insensitive, and they're also insensitive to leading and trailing white space. Thus, " Suamere " and "Suamere" are considered to be two representations of the same user name, just as "FOO" and "foo" represent the same user name. The canonicalised representation of these two user names are "SUAMERE" and "FOO", respectively.
That's also the reason I chose the name TryParse; it's equivalent to DateTime.TryParse, which should be a well-known .NET idiom. If I parse the two strings "2015-01-21" and " 21. januar 2015 " on my machine (which is running with the da-DK locale), I get the exact same value from both strings. Notice that DateTime.TryParse also blissfully ignores leading and trailing white space. This is all correct according to Postel's law.
If all I'd wanted to do was to convert an already valid string into a UserName instance, I'd have implemented an explicit conversion, which is what Jimmy Bogard did in his article. In fact, such an explicit conversion doesn't conflict with the current TryParse method, so I'd find it quite reasonable to add that as well, if any client had the need for it.
This question might be slightly besides the point, but I'm having trouble with the bit about UserName values being case-insensitive. I take that to mean that you can create a UserName with all uppercase, all lowercase, or any combination thereof, and they'll all be treated equally.
To me, that doesn't mean that you have to pass in an uppercase-only value to the constructor (or TryParse() method, for that matter) in order to successfully instantiate a UserName. Was that your intent?
I created a Gist with some tests to illustrate what I'm talking about: I can instantiate with "JEFF", but not with "jeff", using either the constructor directly or the TryParse method.
Jeff, I attempted to run your unit tests, and the only one that fails is, as expected, if you attempt to use the constructor with "jeff"; TryParse with "jeff" works.
Would it have helped if the constructor was private?
I stand corrected regarding the failing tests; I worked with the tests again, and indeed, only the constructor method failed passing in "jeff" in lowercase.
Making the constructor private would clarify things in that there would only be one way for a client to instantiate UserName, which happens to ensure anything passed into the private constructor is all upper-case.
That seems to better match the stated business rule, that UserName values are case-insensitive, rather than a rule that prohibits anything but upper-case values. In any case, it's not quite central to the point of your article, so I thank you for taking the time to reply anyway.
Jeff, I think we fundamentally agree, and I do understand why you'd find it surprising that the constructor accepts "JEFF", but not "jeff". FWIW, I follow (a lot) of rules (of thumb) when I design APIs, and one of them is that the purpose of constructors is to initialise objects. A constructor may perform validation, but must not perform work in the sense of transforming the input or producing side-effects. In other words, constructors are used to initialise objects with valid values.
Whenever I need to transform data as part of initialisation, I often create some sort of factory method for that explicit purpose. A static TryParse method is one of many options available when such a need arises. The point is exactly that the input may not start out being 'valid', but it can be transformed into a valid representation. Going from "jeff" to UserName("JEFF") is a conversion.
This idea of constructors only accepting valid values may seem a bit foreign at first, but if you follow it as a general principle, you get a code base that's easier to reason about, because it's consistent. It's probably because I'm so used to this principle that I just left the constructor public, following another principle of mine, which is that there's no reason to make anything internal or private if the class or member can properly protect its invariants.
Sorry to rant; you just inspired me to explain some of my underlying design thoughts that caused me to arrive at this particular solution.
Thanks for your post, very informative as usual. I would add a few insights.
As much as it can feel Over engineering, I would totally agree and say it doesn't. I deal with GPU resource creation (Direct3D11) on a daily basis and this has helped me so much and saved me headaches (for example a Buffer size must have more than 0 elements, failing to do so gives you a cryptic runtime error than you can only catch error message by enabling Debug Device and looking at Debug output window!
Using a simple BufferElementCount in that case enforces the fact that I provide a correct value, and throw a meaningful exception early in the process. By passing a BufferElementCount I can (almost) safely expect that my buffer gets created.
On the lines of code, I would expect that the initial 50 lines would largely be overtaken by rewriting the same logic, but scattered across the whole code (plus likely adding try/catch blocks in many places on top of it), so I'm pretty sure doing the 0 lines version would lead to more code at the end. Plus 50 lines of code to save be a deep debug session on half million lines code base is a trade-off I'll happily take!
Also as a little bonus, for simple cases I wrote a little snippet so I guess I would share it here Domain Primitive. Now it takes even less than 2 minutes in most simple cases.
Your Equals is fragile. Because the class is not sealed, one could descend from it and break the equality contract.
Example of how to break through descending:
But equality contract must be symmetrical. So either seal the class or else compare GetTypes() as example here: msdn.microsoft.com/en-us/library/vstudio/336aedhh%28v=vs.100%29.aspx
Alan, thank you for writing. You're right; I'd never considered this - most likely because I never use inheritance. Therefore, my default coping strategy would most likely be to make the class sealed by default, but otherwise, explicitly comparing GetType() return values would have to do.
Thank you for teaching me something today!
Great article and completely agree on having primitive types wrapped up into its own class. I had few questions around how this would be applied to provide a good validation feedback to consuming clients. If we want to provide more details on why the 'user name is invalid', like say 'User name should not be small letters' and 'User name should not have trailing spaces' how would we handle this in the class. How would the class communicate out the details of the rules that it is abstracting to its consuming clients.
When accepting multiple such 'classes' in a endpoint, what would be a suggested validation approach. For instance if we are to look at a similar endpoint, which takes in 'Name' and 'Phone' number(or even more in the case of POST endpoint where we are creating a new user), wouldnt the controller soon be overladed with a lot of such TryParse calls.
From the above comment of constructor only accepting valid values, where would it make sense to use the constructor as opposed to TryParse. Is it at the persistence boundary of the application?
Rahul, thank you for writing. As a general rule, at the boundary of an application, all input must be considered evil until proven otherwise. That means that if you try to pass unvalidated input values into constructors, you should expect exceptions to be thrown on a regular basis. Since exceptions are for exceptional cases, that's most likely not the best way to go forward.
Instead, domain objects could offer Validate methods. These would be a bit like TryParse methods, but instead of returning a primitive boolean value, they'd have to return a list of messages. If there are no messages, the input is good. If there are messages, the input is bad. You can encapsulate such a validation result in an object if you think the rule about messages/no messages is too implicit. Such Validate methods could still take
out
parameters like TryParse methods if you want to validate and potentially convert into a domain object in one go.This isn't particularly elegant in languages like C# or Java, but due to the lack of sum types in these languages, that's the best we can do.
In languages with sum types, you can use the Either monad and applicative composition to address this type of problem much more elegantly. A good place to start would be Scott Wlaschin's article on Railway Oriented Programming.
Mark, implicit conversion operator should never throw exception. In the example, it can throw NullReferenceException when UserName is null. What would you recommend to fix that issue?
Eugene, thank you for writing. That's probably a good rule, but I admit I hadn't thought about it. One option is to convert it to an explicit conversion instead. Another option is to forgo the conversion operators all together. The conversion ability isn't the important point in this article.
A third option is to leave it as is. In the code bases I control, null is never an appropriate value, so if null appears anywhere, I'd consider it a bug somewhere else.
To be realistic, though, I think I'd prefer one of the two first options, as I tend to agree with the Zen of Python: Explicit is better than implicit.
Insightful post Mark!
Is it a right design?I have a question, if we are implementing a class that implements Parse and TryParse menthods and this class requires dependency, how should that be passed?
Consider following example - MobileNumber requires a list of valid area codes, I am passing this dependency in the constructor and Parse and TryParse method:
Moiz, thank you for writing. Is it the right design? As usual, It Depends™. Which problem are you trying to solve? What does the input look like? What should the result be of attempting to parse various examples?
It can often be illuminating to write a couple of parametrised tests. What would such tests look like?


Lobster is one of the most popular web fonts, designed by Pablo Impallari. Pattaya is a version of Lobster extended into Thai, and supports Latin and all variations of the Thai script with an informal loopless design. However, vertical metrics (that effect line-spacing) had to be adjusted in order to support Thai vowels and tone marks, so this is published as a separate family.
A similarity between some glyphs such as ก ถ ภ ฤ ฦ, ฎ and ฏ, บ and ป, or ข and ช is something to take into consideration because it might lead to confusion when typesetting very short texts. Pattaya has a specific approach to the thick and thin strokes of Thai glyphs. Other type designers of Thai fonts may like to use this approach as a reference. Informal loopless Thai tyefaces have slightly simplified details, as compared to formal ones, and this simplification has to be done properly in order to preserve the character of each glyph. The size and position of Thai vowel and tone marks need to be managed carefully, because they are all relevant to readability, legibility, and overall texture.
The Pattaya project is led by Cadson Demak, a type foundry in Thailand. To contribute, see github.com/cadsondemak/pattaya


H.A.C.C 2017
menu
Home
Register
Home
Register
Registration Fee: Rs. 100
Team Information*
people
Team Name
No. of Members
2
3
4
No. of Members
Member 1 Information*
person
First Name
person
Last Name
school
College Name
email
Email
local_phone
Phone Number
Member 2 Information*
person
First Name
person
Last Name
school
College Name
email
Email
local_phone
Phone Number
Member 3 Information
person
First Name
person
Last Name
school
College Name
email
Email
local_phone
Phone Number
Member 4 Information
person
First Name
person
Last Name
school
College Name
email
Email
local_phone
Phone Number
done
Register!


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
For the herb-crusted plaice, preheat the oven to 200C/400F/Gas 6.
Blend the breadcrumbs, parsley and garlic in a food processor until the mixture resembles fine breadcrumbs.
Add the olive oil and season, to taste, with salt and white pepper. Blend again until the mixture resembles a smooth paste, adding water as necessary.
Place the mixture onto a large sheet of greaseproof paper, cover with another sheet of greaseproof paper and, using a rolling pin, roll the mixture out to the size of the four fillets. Set aside.
Arrange a sheet of greaseproof paper on a baking tray and put the fish fillets on top. Cut the pressed mixture into rectangles to make a crust for each fillet. Top each fish fillet with the crust and bake for 8-10 minutes, or untilt the fish is cooked through.
For the Jersey Royal potatoes and spring green broth, heat a large frying pan and add the butter. Once melted, add the
shallots and pancetta and fry for 2-3 minutes until the pancetta is crisp.
Add the potatoes and flageolet beans and cook for a further two minutes.
Add the spring greens and stock and cook for 2-3 minutes, or until the volume of stock has reduced slightly.
Stir in the butter to thicken the sauce and sprinkle over the chervil.
To serve, spoon the Jersey Royal and spring green broth onto each of four plates and place the fish on top.


Gamelist Addon is a graphical desktop app for Linux with the capability to add new custom entries into a gamelist.xml file used by EmulationStation.
gamelist.xml files are databases used by EmulationStation, in example within RetroPie. They store game related meta information for each system, such as file paths and release dates. Usually those files are created by some sort of scraper tools and do not require any manual editing. However sometimes there are cases when manually editing is required. Editing such files in a text editor has some traps and is just a pain.
Important: This app will check for existing game entries and make sure the file is written in correct format. It is not a replacement for a rom manager or full fledged gamelist.xml editor. Entries are added as they are and no additional rom, image or video files are copied or checked for existence. It is the users responsibility to manage those things separately.
I started this project because there was no application on Linux that would fulfill my needs. Also this is a good exercise to me for learning more about programming in general and deploying apps.
Once unpacked and the requirements are met, it is easy as running GamelistAddon.py or the run script. The app provides two main functionality modes: Add Game and Merge Gamelists.
In Add Game-mode user entered data in the form will be written to the file as tags. Only path is required. The whole form is called a game entry and can be added to an existing gamelist.xml or saved as a new individual file created from scratch. Overwriting a file will perform a duplication check. The comparison is done at basename level of the path-tag (basename means ignoring the directory portion of a file path). This allows for detecting any game, regardless of how the file path is noted. In example:
./game.gb
/home/pi/RetroPie/roms/gb/game.gb
is treated as identical game. On detection, the program asks the user to ignore or replace the whole entry.
import will read a game entry from an existing gamelist.xml and copy its content to the form in the GUI. On default, the first game is loaded up. But if any of the edit fields in the GUI contains text, it will be used as a filter when searching a game. Only one of the active filters need to match.
In Merge Gamelists-mode two XML files must be selected. The first one act as base content to compare against and second file should have new content to add. The order is important. When saving a new output XML file, both input files game entries are compared at basename level (described above). The selected output file will be created from scratch with the content of the input files. The update log view will be populated with all newly added game entries only.
Two merge modes are available: Ignore and Update. Ignore mode will only add new games which do not exist in base content, basically ignoring duplicates. In Update mode all games from both files are included and every single tag is compared individually. The tags from add content have higher priority. Any merging operation is considered to be an update and listed in the log. It will copy non updated games in its entirety too.
Once Update mode is activated, a new tab Settings Merge Update will appear. In this view every single tag like name or lastplayed can be individually selected. Only those selected tags will be compared between base content data and add content data when using the update functionality. That means, if the tag lastplayed is found in add content, then it will be used in new file. Otherwise it defaults to lastplayed from base content. Any unchecked tag will be taken from base content without any changes.
merge.py is a separate commandline tool in the app folder. It uses the same merge logic from main program, but does not require PyQt5 and runs without a GUI. Any error (such as non existent files) will result in an execution stop and output of ERROR on screen. On success the paths of each game entry will be output. Important: On default no files are saved or modified. Use commandline options:
usage: merge.py [-h] [--version] --base file --add file [--output file] [--log file] [--duplicate mode] [--tag tagname]
This program uses an unique way of identifying duplicates. It assumes that a rom is appearing only once in the gamelist file. When comparing two different files, one might have a different notation of the directory part in the path. The comparison is done at basename only, which means the name of file itself and ignoring the directory part. Here is an example what.
gamelist.xml from user 1:
<path>./Aero the Acro-Bat 2 (U).smc</path>
gamelist.xml from user 2:
<path>./roms/snes/Aero the Acro-Bat 2 (U).smc</path>
This game is considered to be identical.
In certain situations or parts of the program it behaves unexpected or in a very specific way. All unsolved mysteries are collected and described here.
When running Python version directly:
Additional requirements when building standalone distribution:
Download the Python release build. You need Python 3 and PyQt 5 installed on your system to run the application. Source code is saved on Github and contains additional files and building scripts. The standalone release build is a compiled executable binary for Linux. It eliminates the need for any of the requirements listed above, besides the operating system.
Currently only Linux is tested and supported. There are no standalone builds for Windows or Mac. The Make script from source code is designed around the tools and scripting capabilities in Linux. The main release build do not need all these stuff and is a pure Python program. You need to install Python 3 and PyQt5 in order to use Gamelist Addon.
usage: make.py [-h] [--setup] [--ui] [--build] [--package] [--clean]
make.py is the script to build all release packages and is only relevant to the source code. It is a custom script written in Python. Running it without arguments will execute all routines. Using at least one argument will disable all other routines and just execute those which are specified. All distribution related files are found in a sub folder "dist". In example:
./make.py --ui --package
will only generate the .ui files and the distribution packages for Python only. No binary compilation is created and temporary files are not cleaned up.
If you want report a bug or have any questions, head over to the project's forum thread in RetroPie or leave me a message on my contact page.
Version 0.4
Version 0.3:
Version 0.2:
Version 0.1:


{% extends "base.html" %} {% import "_macros.html" as macros %} {% block title %}pitches - {{ _('The most hot topics') }}{% endblock %} {% block page_content %}


Air quality index (AQI) is a number used by government agencies to communicate to the public how polluted the air currently is or how polluted it is forecast to become.
Good (0 - 50)
PM10 (24hr): 0 - 50
PM2.5 (24hr): 0 - 30
NO2 (24hr): 0 - 40
O3 (8hr): 0 - 50
NH3 (24hr): 0 - 200
Satisfactory (51 - 100)
PM10 (24hr): 51 - 100
PM2.5 (24hr): 31 - 60
NO2 (24hr): 41 - 80
O3 (8hr): 51 - 100
NH3 (24hr): 201 - 400
Polluted (101 - 300)
PM10 (24hr): 101 - 350
PM2.5 (24hr): 61 - 120
NO2 (24hr): 81 - 280
O3 (8hr): 101 - 208
NH3 (24hr): 401 - 1200
Hazardous (> 300)
PM10 (24hr): 301+
PM2.5 (24hr): 121+
NO2 (24hr): 281+
O3 (8hr): 209+
NH3 (24hr): 1201+
(Image courtesy of wikipedia)
WE NEED TO ACT
Transportation
Choose a cleaner commute — car pool, use public transportation, bike or walk when possible.
Combine errands into one trip to reduce “cold starts” of your car and avoid extended idling.
Ensure your tires are properly inflated.
Keep cars, boats and other engines in good repair and running properly.
Household
Use environmentally-safe paints and cleaning products whenever possible.
Consider using gas logs instead of wood-burning fireplaces. If you use a wood-burning stove or fireplace insert, make sure it meets EPA design specifications. Burn only dry, seasoned wood.
Lawn & Garden
Opt for a manual lawn mower instead of electric or fuel-burning models.


TASK 2: Relation Classification
DOC ID:
YOUR ID:
SENTENCE ID
1
2
3
4
5
6
1. This is sentence one
2. This is sentence two
none
sequence_of
subprocess_of
conditional_of
detail_of
3. This is sentence three
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
4. This is sentence four
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
5. This is sentence five
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
6. This is sentence six
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
none
sequence_of
subprocess_of
conditional_of
detail_of
CREATE FILE!
DOWNLOAD


Standalone template modified from Zabbix’s “VM VMware Guest” for monitoring selected VMs instead of all VMs as per Zabbix’s auto-discovery template. Modified from 3.4.7 and 3.0.15
Requirements
To obtain VM UUID (http://www-01.ibm.com/support/docview.wss?uid=swg21682150)
UUID value can also be obtained by viewing the VM’s .vmx file via SSH shell. Value is defined as uuid.bios but must be formatted in the correct form. So if uuid.bios=”42 10 c1 62 e3 1e 70 e6-4a 03 b4 6a bb e1 7b 4f”, UUID is “4210c162-e31e-70e6-4a03-b46abbe17b4f”
To use
For those using Grafana, I have uploaded the dashboard to https://grafana.com/dashboards/4809
Others
Edit zabbix_server.conf and update value of StartVMwareCollectors to more than 0 and restart zabbix-server.
Zabbix
| Name | Description | Default | Type |
|---|---|---|---|
| {$PASSWORD} |
-
 | {Password} |
Text macro |
| {$URL} |
-
 | https://{ESXi}/sdk |
Text macro |
| {$USERNAME} |
-
 | zabbix |
Text macro |
| {$UUID} |
-
 | `` | Text macro |
There are no template links in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Network device discovery |
Discovery of all network devices.
 | Simple check |
vmware.vm.net.if.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Mounted filesystem discovery |
Discovery of all guest file systems.
 | Simple check |
vmware.vm.vfs.fs.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Disk device discovery |
Discovery of all disk devices.
 | Simple check |
vmware.vm.vfs.dev.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| CPU ready |
Time that the virtual machine was ready, but could not get scheduled to run on the physical CPU during last measurement interval (VMware vCenter/ESXi Server performance counter sampling interval - 20 seconds)
 | Simple check |
vmware.vm.cpu.ready[{$URL},{$UUID}]
Update: 1m
 |
| Unshared storage space |
Total storage space, in bytes, occupied by the virtual machine across all datastores, that is not shared with any other virtual machine.
 | Simple check |
vmware.vm.storage.unshared[{$URL},{$UUID}]
Update: 1m
 |
| Uncommitted storage space |
Additional storage space, in bytes, potentially used by this virtual machine on all datastores.
 | Simple check |
vmware.vm.storage.uncommitted[{$URL},{$UUID}]
Update: 1m
 |
| Cluster name |
Cluster name of the guest VM.
 | Simple check |
vmware.vm.cluster.name[{$URL},{$UUID}]
Update: 1h
 |
| Swapped memory |
The amount of guest physical memory swapped out to the VM’s swap device by ESX.
 | Simple check |
vmware.vm.memory.size.swapped[{$URL},{$UUID}]
Update: 1m
 |
| Uptime |
System uptime.
 | Simple check |
vmware.vm.uptime[{$URL},{$UUID}]
Update: 1m
 |
| Compressed memory |
The amount of memory currently in the compression cache for this VM.
 | Simple check |
vmware.vm.memory.size.compressed[{$URL},{$UUID}]
Update: 1m
 |
| Datacenter name |
Datacenter name of the guest VM.
 | Simple check |
vmware.vm.datacenter.name[{$URL},{$UUID}]
Update: 1m
 |
| Guest memory usage |
The amount of guest physical memory that is being used by the VM.
 | Simple check |
vmware.vm.memory.size.usage.guest[{$URL},{$UUID}]
Update: 1m
 |
| Private memory |
Amount of memory backed by host memory and not being shared.
 | Simple check |
vmware.vm.memory.size.private[{$URL},{$UUID}]
Update: 1m
 |
| Hypervisor name |
Hypervisor name of the guest VM.
 | Simple check |
vmware.vm.hv.name[{$URL},{$UUID}]
Update: 1h
 |
| Memory size |
Total size of configured memory.
 | Simple check |
vmware.vm.memory.size[{$URL},{$UUID}]
Update: 1m
 |
| Ballooned memory |
The amount of guest physical memory that is currently reclaimed through the balloon driver.
 | Simple check |
vmware.vm.memory.size.ballooned[{$URL},{$UUID}]
Update: 1m
 |
| Power state |
The current power state of the virtual machine.
 | Simple check |
vmware.vm.powerstate[{$URL},{$UUID}]
Update: 1m
 |
| Number of virtual CPUs |
Number of virtual CPUs assigned to the guest.
 | Simple check |
vmware.vm.cpu.num[{$URL},{$UUID}]
Update: 1m
 |
| Shared memory |
The amount of guest physical memory shared through transparent page sharing.
 | Simple check |
vmware.vm.memory.size.shared[{$URL},{$UUID}]
Update: 1m
 |
| Host memory usage |
The amount of host physical memory allocated to the VM, accounting for saving from memory sharing with other VMs.
 | Simple check |
vmware.vm.memory.size.usage.host[{$URL},{$UUID}]
Update: 1m
 |
| Committed storage space |
Total storage space, in bytes, committed to this virtual machine across all datastores.
 | Simple check |
vmware.vm.storage.committed[{$URL},{$UUID}]
Update: 1m
 |
| CPU usage |
Current upper-bound on CPU usage. The upper-bound is based on the host the virtual machine is current running on, as well as limits configured on the virtual machine itself or any parent resource pool. Valid while the virtual machine is running.
 | Simple check |
vmware.vm.cpu.usage[{$URL},{$UUID}]
Update: 1m
 |
| Number of bytes received on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.in[{$URL},{$UUID},{#IFNAME},bps]
Update: 1m

LLD
 |
| Number of packets received on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.in[{$URL},{$UUID},{#IFNAME},pps]
Update: 1m

LLD
 |
| Number of bytes transmitted on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.out[{$URL},{$UUID},{#IFNAME},bps]
Update: 1m

LLD
 |
| Number of packets transmitted on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.out[{$URL},{$UUID},{#IFNAME},pps]
Update: 1m

LLD
 |
| Free disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},free]
Update: 1m

LLD
 |
| Free disk space on {#FSNAME} (percentage) |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},pfree]
Update: 1m

LLD
 |
| Total disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},total]
Update: 1h

LLD
 |
| Used disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},used]
Update: 1m

LLD
 |
| Average number of bytes read from the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.read[{$URL},{$UUID},{#DISKNAME},bps]
Update: 1m

LLD
 |
| Average number of reads from the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.read[{$URL},{$UUID},{#DISKNAME},ops]
Update: 1m

LLD
 |
| Average number of bytes written to the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.write[{$URL},{$UUID},{#DISKNAME},bps]
Update: 1m

LLD
 |
| Average number of writes to the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.write[{$URL},{$UUID},{#DISKNAME},ops]
Update: 1m

LLD
 |
There are no triggers in this template.
Standalone template modified from Zabbix’s “VM VMware Guest” for monitoring selected VMs instead of all VMs as per Zabbix’s auto-discovery template. Modified from 3.4.7 and 3.0.15
Requirements
To obtain VM UUID (http://www-01.ibm.com/support/docview.wss?uid=swg21682150)
UUID value can also be obtained by viewing the VM’s .vmx file via SSH shell. Value is defined as uuid.bios but must be formatted in the correct form. So if uuid.bios=”42 10 c1 62 e3 1e 70 e6-4a 03 b4 6a bb e1 7b 4f”, UUID is “4210c162-e31e-70e6-4a03-b46abbe17b4f”
To use
For those using Grafana, I have uploaded the dashboard to https://grafana.com/dashboards/4809
Others
Edit zabbix_server.conf and update value of StartVMwareCollectors to more than 0 and restart zabbix-server.
Zabbix
| Name | Description | Default | Type |
|---|---|---|---|
| {$PASSWORD} |
-
 | {Password} |
Text macro |
| {$URL} |
-
 | https://{ESXi}/sdk |
Text macro |
| {$USERNAME} |
-
 | zabbix |
Text macro |
| {$UUID} |
-
 | `` | Text macro |
There are no template links in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Network device discovery |
Discovery of all network devices.
 | Simple check |
vmware.vm.net.if.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Mounted filesystem discovery |
Discovery of all guest file systems.
 | Simple check |
vmware.vm.vfs.fs.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Disk device discovery |
Discovery of all disk devices.
 | Simple check |
vmware.vm.vfs.dev.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| CPU usage |
Current upper-bound on CPU usage. The upper-bound is based on the host the virtual machine is current running on, as well as limits configured on the virtual machine itself or any parent resource pool. Valid while the virtual machine is running.
 | Simple check |
vmware.vm.cpu.usage[{$URL},{$UUID}]
Update: 1m
 |
| Memory size |
Total size of configured memory.
 | Simple check |
vmware.vm.memory.size[{$URL},{$UUID}]
Update: 1m
 |
| Datacenter name |
Datacenter name of the guest VM.
 | Simple check |
vmware.vm.datacenter.name[{$URL},{$UUID}]
Update: 1m
 |
| Uptime |
System uptime.
 | Simple check |
vmware.vm.uptime[{$URL},{$UUID}]
Update: 1m
 |
| Cluster name |
Cluster name of the guest VM.
 | Simple check |
vmware.vm.cluster.name[{$URL},{$UUID}]
Update: 1h
 |
| Guest memory usage |
The amount of guest physical memory that is being used by the VM.
 | Simple check |
vmware.vm.memory.size.usage.guest[{$URL},{$UUID}]
Update: 1m
 |
| Unshared storage space |
Total storage space, in bytes, occupied by the virtual machine across all datastores, that is not shared with any other virtual machine.
 | Simple check |
vmware.vm.storage.unshared[{$URL},{$UUID}]
Update: 1m
 |
| Hypervisor name |
Hypervisor name of the guest VM.
 | Simple check |
vmware.vm.hv.name[{$URL},{$UUID}]
Update: 1h
 |
| Private memory |
Amount of memory backed by host memory and not being shared.
 | Simple check |
vmware.vm.memory.size.private[{$URL},{$UUID}]
Update: 1m
 |
| Uncommitted storage space |
Additional storage space, in bytes, potentially used by this virtual machine on all datastores.
 | Simple check |
vmware.vm.storage.uncommitted[{$URL},{$UUID}]
Update: 1m
 |
| Compressed memory |
The amount of memory currently in the compression cache for this VM.
 | Simple check |
vmware.vm.memory.size.compressed[{$URL},{$UUID}]
Update: 1m
 |
| Committed storage space |
Total storage space, in bytes, committed to this virtual machine across all datastores.
 | Simple check |
vmware.vm.storage.committed[{$URL},{$UUID}]
Update: 1m
 |
| Swapped memory |
The amount of guest physical memory swapped out to the VM’s swap device by ESX.
 | Simple check |
vmware.vm.memory.size.swapped[{$URL},{$UUID}]
Update: 1m
 |
| Host memory usage |
The amount of host physical memory allocated to the VM, accounting for saving from memory sharing with other VMs.
 | Simple check |
vmware.vm.memory.size.usage.host[{$URL},{$UUID}]
Update: 1m
 |
| Power state |
The current power state of the virtual machine.
 | Simple check |
vmware.vm.powerstate[{$URL},{$UUID}]
Update: 1m
 |
| Shared memory |
The amount of guest physical memory shared through transparent page sharing.
 | Simple check |
vmware.vm.memory.size.shared[{$URL},{$UUID}]
Update: 1m
 |
| CPU ready |
Time that the virtual machine was ready, but could not get scheduled to run on the physical CPU during last measurement interval (VMware vCenter/ESXi Server performance counter sampling interval - 20 seconds)
 | Simple check |
vmware.vm.cpu.ready[{$URL},{$UUID}]
Update: 1m
 |
| Number of virtual CPUs |
Number of virtual CPUs assigned to the guest.
 | Simple check |
vmware.vm.cpu.num[{$URL},{$UUID}]
Update: 1m
 |
| Ballooned memory |
The amount of guest physical memory that is currently reclaimed through the balloon driver.
 | Simple check |
vmware.vm.memory.size.ballooned[{$URL},{$UUID}]
Update: 1m
 |
| Number of bytes received on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.in[{$URL},{$UUID},{#IFNAME},bps]
Update: 1m

LLD
 |
| Number of packets received on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.in[{$URL},{$UUID},{#IFNAME},pps]
Update: 1m

LLD
 |
| Number of bytes transmitted on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.out[{$URL},{$UUID},{#IFNAME},bps]
Update: 1m

LLD
 |
| Number of packets transmitted on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.out[{$URL},{$UUID},{#IFNAME},pps]
Update: 1m

LLD
 |
| Free disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},free]
Update: 1m

LLD
 |
| Free disk space on {#FSNAME} (percentage) |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},pfree]
Update: 1m

LLD
 |
| Total disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},total]
Update: 1h

LLD
 |
| Used disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},used]
Update: 1m

LLD
 |
| Average number of bytes read from the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.read[{$URL},{$UUID},{#DISKNAME},bps]
Update: 1m

LLD
 |
| Average number of reads from the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.read[{$URL},{$UUID},{#DISKNAME},ops]
Update: 1m

LLD
 |
| Average number of bytes written to the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.write[{$URL},{$UUID},{#DISKNAME},bps]
Update: 1m

LLD
 |
| Average number of writes to the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.write[{$URL},{$UUID},{#DISKNAME},ops]
Update: 1m

LLD
 |
There are no triggers in this template.
Standalone template modified from Zabbix’s “VM VMware Guest” for monitoring selected VMs instead of all VMs as per Zabbix’s auto-discovery template. Modified from 3.4.7 and 3.0.15
Requirements
To obtain VM UUID (http://www-01.ibm.com/support/docview.wss?uid=swg21682150)
UUID value can also be obtained by viewing the VM’s .vmx file via SSH shell. Value is defined as uuid.bios but must be formatted in the correct form. So if uuid.bios=”42 10 c1 62 e3 1e 70 e6-4a 03 b4 6a bb e1 7b 4f”, UUID is “4210c162-e31e-70e6-4a03-b46abbe17b4f”
To use
For those using Grafana, I have uploaded the dashboard to https://grafana.com/dashboards/4809
Others
Edit zabbix_server.conf and update value of StartVMwareCollectors to more than 0 and restart zabbix-server.
Zabbix
| Name | Description | Default | Type |
|---|---|---|---|
| {$PASSWORD} |
-
 | {Password} |
Text macro |
| {$URL} |
-
 | https://{ESXi}/sdk |
Text macro |
| {$USERNAME} |
-
 | zabbix |
Text macro |
| {$UUID} |
-
 | `` | Text macro |
There are no template links in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Network device discovery |
Discovery of all network devices.
 | Simple check |
vmware.vm.net.if.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Mounted filesystem discovery |
Discovery of all guest file systems.
 | Simple check |
vmware.vm.vfs.fs.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Disk device discovery |
Discovery of all disk devices.
 | Simple check |
vmware.vm.vfs.dev.discovery[{$URL},{$UUID}]
Update: 1h
 |
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| CPU usage |
Current upper-bound on CPU usage. The upper-bound is based on the host the virtual machine is current running on, as well as limits configured on the virtual machine itself or any parent resource pool. Valid while the virtual machine is running.
 | Simple check |
vmware.vm.cpu.usage[{$URL},{$UUID}]
Update: 1m
 |
| Memory size |
Total size of configured memory.
 | Simple check |
vmware.vm.memory.size[{$URL},{$UUID}]
Update: 1m
 |
| Datacenter name |
Datacenter name of the guest VM.
 | Simple check |
vmware.vm.datacenter.name[{$URL},{$UUID}]
Update: 1m
 |
| Uptime |
System uptime.
 | Simple check |
vmware.vm.uptime[{$URL},{$UUID}]
Update: 1m
 |
| Cluster name |
Cluster name of the guest VM.
 | Simple check |
vmware.vm.cluster.name[{$URL},{$UUID}]
Update: 1h
 |
| Guest memory usage |
The amount of guest physical memory that is being used by the VM.
 | Simple check |
vmware.vm.memory.size.usage.guest[{$URL},{$UUID}]
Update: 1m
 |
| Unshared storage space |
Total storage space, in bytes, occupied by the virtual machine across all datastores, that is not shared with any other virtual machine.
 | Simple check |
vmware.vm.storage.unshared[{$URL},{$UUID}]
Update: 1m
 |
| Hypervisor name |
Hypervisor name of the guest VM.
 | Simple check |
vmware.vm.hv.name[{$URL},{$UUID}]
Update: 1h
 |
| Private memory |
Amount of memory backed by host memory and not being shared.
 | Simple check |
vmware.vm.memory.size.private[{$URL},{$UUID}]
Update: 1m
 |
| Uncommitted storage space |
Additional storage space, in bytes, potentially used by this virtual machine on all datastores.
 | Simple check |
vmware.vm.storage.uncommitted[{$URL},{$UUID}]
Update: 1m
 |
| Compressed memory |
The amount of memory currently in the compression cache for this VM.
 | Simple check |
vmware.vm.memory.size.compressed[{$URL},{$UUID}]
Update: 1m
 |
| Committed storage space |
Total storage space, in bytes, committed to this virtual machine across all datastores.
 | Simple check |
vmware.vm.storage.committed[{$URL},{$UUID}]
Update: 1m
 |
| Swapped memory |
The amount of guest physical memory swapped out to the VM’s swap device by ESX.
 | Simple check |
vmware.vm.memory.size.swapped[{$URL},{$UUID}]
Update: 1m
 |
| Host memory usage |
The amount of host physical memory allocated to the VM, accounting for saving from memory sharing with other VMs.
 | Simple check |
vmware.vm.memory.size.usage.host[{$URL},{$UUID}]
Update: 1m
 |
| Power state |
The current power state of the virtual machine.
 | Simple check |
vmware.vm.powerstate[{$URL},{$UUID}]
Update: 1m
 |
| Shared memory |
The amount of guest physical memory shared through transparent page sharing.
 | Simple check |
vmware.vm.memory.size.shared[{$URL},{$UUID}]
Update: 1m
 |
| CPU ready |
Time that the virtual machine was ready, but could not get scheduled to run on the physical CPU during last measurement interval (VMware vCenter/ESXi Server performance counter sampling interval - 20 seconds)
 | Simple check |
vmware.vm.cpu.ready[{$URL},{$UUID}]
Update: 1m
 |
| Number of virtual CPUs |
Number of virtual CPUs assigned to the guest.
 | Simple check |
vmware.vm.cpu.num[{$URL},{$UUID}]
Update: 1m
 |
| Ballooned memory |
The amount of guest physical memory that is currently reclaimed through the balloon driver.
 | Simple check |
vmware.vm.memory.size.ballooned[{$URL},{$UUID}]
Update: 1m
 |
| Number of bytes received on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.in[{$URL},{$UUID},{#IFNAME},bps]
Update: 1m

LLD
 |
| Number of packets received on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.in[{$URL},{$UUID},{#IFNAME},pps]
Update: 1m

LLD
 |
| Number of bytes transmitted on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.out[{$URL},{$UUID},{#IFNAME},bps]
Update: 1m

LLD
 |
| Number of packets transmitted on interface {#IFDESC} |
-
 | Simple check |
vmware.vm.net.if.out[{$URL},{$UUID},{#IFNAME},pps]
Update: 1m

LLD
 |
| Free disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},free]
Update: 1m

LLD
 |
| Free disk space on {#FSNAME} (percentage) |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},pfree]
Update: 1m

LLD
 |
| Total disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},total]
Update: 1h

LLD
 |
| Used disk space on {#FSNAME} |
-
 | Simple check |
vmware.vm.vfs.fs.size[{$URL},{$UUID},{#FSNAME},used]
Update: 1m

LLD
 |
| Average number of bytes read from the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.read[{$URL},{$UUID},{#DISKNAME},bps]
Update: 1m

LLD
 |
| Average number of reads from the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.read[{$URL},{$UUID},{#DISKNAME},ops]
Update: 1m

LLD
 |
| Average number of bytes written to the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.write[{$URL},{$UUID},{#DISKNAME},bps]
Update: 1m

LLD
 |
| Average number of writes to the disk {#DISKDESC} |
-
 | Simple check |
vmware.vm.vfs.dev.write[{$URL},{$UUID},{#DISKNAME},ops]
Update: 1m

LLD
 |
There are no triggers in this template.


Customer Service Representative
Los Angeles, CA Preview this post| Job DescriptionEdit | |
Position Title |
Customer Service Representative |
Location |
San Diego, California |
Employment Type |
Full-Time |
Experience |
Actor for 10 years at 'Horsing Around' |
Status |
Unemployed |
Experience |
Hard rock hotel miracle mile shops new york, new york spaghetti bowl the mirage dice body english. The excalibur insurance caesar's palace the district all in fruit loop stand? Dice unlv shops at crystals capriotti's bars: haze nightclubs straight lounges? Odds card counting shuffle flamingo hotel town square pot breaking even; haze tapped out rack pit the joint! City center mandalay bay dice aria score bankroll, spaghetti bowl fold the excalibur tapped out. Baccarat swim-up blackjack naked city sixth street the pairs wildcard! |
Hiring Lead |
Mr Peanut Butter |
Approved Salary |
$580,000 |


Visit :/mocker/index.js to customize the API Try it?
id:
name:
age:
URL: /repos/jaywcjlove/github-rank:
URL: /repos/jaywcjlove/webpack-api-mocker:


[gecode-users] Difference between rel(), post() and post(tt()) ?
Guido Tack
tack at ps.uni-sb.de
Sat Jan 10 20:50:26 CET 2009
Jeffrey wrote:
> Are the following three constraints equivalent?
>
> Objective: To extract the d.val() th element in tmpArray into an
> IntValArray groupStudentVal so that further constraint can be
> written on it.
What's an IntValArray?
> tmpArray is int[]
> groupStudentVal is IntValArray
> d is SetVarGlbValue of a SetVar
What's a SetVarGlbValue?
> (1) post(this, tmpArray[d.val()] == groupStudentVal[index]);
> (2) rel(this, groupStudentVal[index], IRT_EQ, tmpArray[d.val()]);
> (3) post(this, tt(groupStudentVal[index]==tmpArray[d.val()]));
All three statements should do the same thing. However, I don't
understand what d.val() is, and if d is an IntVar, you cannot use its
value when posting constraints, as the value will only be determined
after solving the problem.
Cheers,
Guido
More information about the gecode-users
mailing list


Dr. Baah-Nuakoh to head GFA Club licensing Board
Accra, Nov. 19, GNA - The Executive Council of the Ghana Football Association (GFA), in exercising its powers under Article 52 of the GFA Statutes, has appointed a seven-member Club Licensing Board of the GFA.
The Board would be chaired by economist and former sports journalist, Dr. Kwame Baah-Nuakoh, who is also the General Manager, Sustainability at Ghana National Petroleum Corporation (GNPC).
Other members of the Club Licensing Board are: George Ankomah Mensah (Vice Chairman), Professor Joseph Kwame Mintah, Mike Bonsu, Mavis Amanor, Rev. Emmanuel Addotey and Joseph Addo.
The GFA's Club Licensing Manager, Emmanuel Newton Dasoberi would act as Secretary to the Board.
The Club Licensing Board has the responsibility of vetting the license application of clubs to ensure compliance with legal, administrative, finance, technical, medical and security requirements of the provisions of the GFA Statutes and the GFA Club Licensing Regulations before issuing licences to clubs.
GNA


{{other.rating|generateRating}}
{{other.discount?other.discount|formatMoney:other.price|formatMoney}}đ


{% extends "base.html" %} {% load activity_tags %} {% block content %}
You are following {% for target in following %}


Text
abc
def
abc
Text that
will be deleted
Text Text
0123456789
0123456789
0123456789
outer
inner
outer2


I wake up. I'm a bit dizzy. I know am at my friend's place, but I don't remember falling asleep the night previous. In fact, there's a lot of last night I don't remember. No wonder why it's a date rape drug.
What I do remember of my first experience is this:
I went with my friend to his friends' place. Everyone was going to take Rohypnol and go to the local world-known theme park until it was closed. They always take alcohol before the pills because it's supposed to create a synergy, and the goal was that you were supposed to feel a good buzz (not too strong a buzz). I snorted a pill (no nasty drip and no burn!) and we went on our way. It felt like a different state of drunkeness, or maybe just more inebriated than I've ever been. Beyond relaxed, similar to xanax or, to a lesser extent, valium. I could still understand people and their intentions all right, but I didn't want to talk. My walking didn't seem too bad, but I wasn't paying attention to that. Normally I would be, but it's as they say, it takes away inhibition.
I believe I took another one an hour or so later, but I didn't take more alcohol (to keep the synergy, and supposedly keep your memories). Even though I had snorted the first one, it still didn't come on all at once, which seems to be why my memories start to become faded at this point, like a dream. I remember going on a slow, sit-down ride, but my memories end a bit after that point. I think I took a xanax also that night, but I don't think it affected me with a bunch of alcohol and two rohypnols in my system. I do remember spilling a drink on myself, and after we left, getting the driver to pull over so I could throw up... wait! The driver had drank and took some as well! I remember him telling me to watch his driving, but I think I fell asleep... all very dangerous! I was amazed I let that happen.
There was about five hours before that memory which I knew I was awake and walking around, but do not remember. Never had I experienced this before.
I look around where I had been sleeping and the objects I had with me remind me of brief memories during the lapse. Later that week, I revisted those friends, and found that they had brought a digital camera and a voice recorder. Pictures of me reminded me of that instant, and I could remember it again. They told me I had fun and stumbled around a lot, but I don't remember. It's like someone else had my fun for me. Perhaps if I didn't take so much on my first time, I would have remembered... but this does 'make' you do things you wouldn't do normally.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Please do not serve the project root, this makes your setup vulnerable
Only serve the public directory
See: MunkiReport Server setup: Source files


Our most salient memory of the early phase of the COVID-19 pandemic was escaping our apartment for a week of biking along Cape Cod and the nearby islands in August.
Our itinerary
We went out on a Sunday and spent 6 days. Our ferries made a triangle so that we could see both islands.
| Day | Itinerary |
|---|---|
| 1 | Train to Hyannis, ferry to Martha’s Vineyard. Get settled in the (one and only) campground on the Vineyard. |
| 2 | Explore the Vineyard. |
| 3 | Ferry to Nantucket, explore Nantucket, and ferry to Hyannis for much cheaper accommodations. |
| 4 | Spend a lazy day in and around Hyannis. |
| 5 | Bike half the canal rail trail. Look for seals at Coast Guard beach. We camped at Atlantic Oaks. |
| 6 | Bike to Provincetown and take a late ferry home. |
Day 1: Train to Hyannis, ferry to Martha’s Vineyard, go to the Obamas cove, and see a whaling town
Ride the Cape Cod Flyer from South Station. They have cars dedicated to bicycles with racks on the floor. From Hyannis, waste little time in hopping on the ferry (Day 4 offers more time for Hyannis). On the ferry, get a seat on the outside facing west and look for the Kennedy family’s compound on the waterfront.
Grab lunch in Oak Bluffs, and then explore the town. Make sure to see the gingerbread-like houses at the 1800s-era religious campground. Oak Bluffs is a common destination among Black families.
Unless you’re springing for the $400/night hotels, get settled at Martha’s Vineyard Family Campground, a short bike ride away. That afternoon, bike to the Obamas’ house. You can’t get close enough to see anything; there’s a private road sign too far from the house. But you might see other tourists trying to do the same.
Then bike to Edgartown, a former whaling town that drips with charm. The place feels like a fairy tale. We had dinner and beers nearby at Bad Martha Farmers Brewery, which we liked so much we went twice. No matter how dark it is when you leave, it’s safe to ride home to the campground; there’s a separated bike path the whole way.
Day 2: Vineyard Day
This is the longest biking day of the trip. Ride 12 miles to Menemsha, where you can grab a bite of seafood before you hop on the cutest ferry: a pontoon boat where you pay a few bucks.  Then climb up to Aquinnah cliffs for a view of red cliffs and the Gay Head Lighthouse.
To make it a loop, bike to Chilmark (where John Belushi spent time as a kid), see what’s going on at the Grange Hall, and stop at galleries to the east of it. If you’re eager for more exploring, continue to Jaws Bridge, named for the film Jaws.
Day 3: Nantucket
Grab an early ferry to Nantucket to maximize time on the exclusive island.
It was wicked hot the day we visited, so we grabbed sandwiches at Something Natural (get the lobster sandwich) and then spent a lazy afternoon at Cisco Brewers (which has many food trucks). The bike riding to the south and west of the brewery was hilariously hard due to the sand, but the beaches there (such as Ladies Beach) feel wild.
The road in downstown Nantucket is delightfully bumpy:
Try to time your ferry to Hyannis to overlap with sunset. You can sit on the roof deck and watch the sun go down.
Day 4: Hyannis
If you have just a bit of time in Hyannis, do the self-guided walking tour of the JFK sites. It’s fun to picture the ground assembled at the armory where he gave his acceptance speech.
If you spend a day here, we recommend biking to Barnstable in the morning and then to the area near the the Kennedy family’s compound in the afternoon. Grab breakfast at Spoon & Seed on the way to Barnstable, where you can see the old wooden jail, drink a coffee at Nirvana, and ride the little trail that goes from Acre Hill Road to downtown.
Back in Hyannis, head to the Kennedy compound, where you can get a glimpse from the end of their short, private street. We were there before Joe Kennedy’s election, and all the neighbors were at least feigning their support for the hometown candidate.
Before leaving Hyannis, grab a handful of cookies from Kayak Cookies for road snacks.
Day 5: Bike the first half of the canal rail trail
From Hyannis, it’s a short 4-mile bike ride to the start of the Cape CoD Rail Trail. This bike path brings you past taco places and breweries as it snakes along the middle of the Cape. We rode it to Atlantic Oaks RV park in Eastham, which is ideally situated right off the path and next to a seafood shack. It’s also a couple miles from Coast Guard Beach, a part of the national seashore protected by President JFK where we saw a family of seals parading along the beach.
Day 6: Wellfleet oysters, Bauhaus homes in the forest, and dinner in P-town
On the last day, we ate breakfast at PB Boulangerie, located at the end of the rail trail. Expect a line out the door.
From there, take the coastal road past White Crest Beach, and then turn at Cahoon Hollow Road or Long Pond Road to see the kettle ponds left by the receding glacier. Within this forest are Bauhaus-style cottages built by Walter Gropius and other mid-century modern architechts and designers. Some of these homes are now rented by guests, like the Kugel/Gips house:
Descend the hill to Wellfleet, a town famous for its oysters, and get a table at Mac’s Shack, a seafood restaurant open only in the summer that has New England classics as well as globally inspired dishes. Try the Russian oyster with sour cream and vodka.
Make sure to bike across Uncle Tim’s Bridge and around the island called Cannon Hill. If the tide is low, the marshland under the bridge will be teeming with crabs.
We then tried to do an out-and-back to Duck Harbor Beach but didn’t have time to visit the beach. After back-tracking to Wellfleet, we took the side road west of Highway 6 to Truro. This section has some hills. You can restock on snacks and water in Truro.
From Truro, you have to bike a short section of Highway 6 before you can turn onto Hughes Road and the much quieter road past the resorts in North Truro. At this point, the Pilgrim monument in Provincetown is coming into view, and you’ll soon see men wearing Kaftans and the vibrance of P-town. Before taking the fast ferry back to Boston, we grabbed the lobstah rolls at The Canteen. The big chunks of lobster make it the best in the Cape. If you have another day, the bike ride to Race Point Beach through forest and dunes is not to be missed.


nips nips2013 nips2013-91 nips2013-91-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Eunho Yang, Pradeep Ravikumar
Abstract: We provide a uniﬁed framework for the high-dimensional analysis of “superposition-structured” or “dirty” statistical models: where the model parameters are a superposition of structurally constrained parameters. We allow for any number and types of structures, and any statistical model. We consider the general class of M -estimators that minimize the sum of any loss function, and an instance of what we call a “hybrid” regularization, that is the inﬁmal convolution of weighted regularization functions, one for each structural component. We provide corollaries showcasing our uniﬁed framework for varied statistical models such as linear regression, multiple regression and principal component analysis, over varied superposition structures. 1
[1] A. Agarwal, S. Negahban, and M. J. Wainwright. Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions. Annals of Statistics, 40(2):1171–1197, 2012.
[2] E. J. Cand` s, J. K. Romberg, and T. Tao. Stable signal recovery from incomplete and inaccurate e measurements. Communications on Pure and Applied Mathematics, 59(8):1207–1223, 2006.
[3] E. J. Cand` s, X. Li, Y. Ma, and J. Wright. Robust principal component analysis? Journal of e the ACM, 58(3), May 2011.
[4] V. Chandrasekaran, B. Recht, P. A. Parrilo, and A. S. Willsky. The convex geometry of linear inverse problems. In 48th Annual Allerton Conference on Communication, Control and Computing, 2010.
[5] V. Chandrasekaran, S. Sanghavi, P. A. Parrilo, and A. S. Willsky. Rank-sparsity incoherence for matrix decomposition. SIAM Journal on Optimization, 21(2), 2011.
[6] V. Chandrasekaran, P. A. Parrilo, and A. S. Willsky. Latent variable graphical model selection via convex optimization. Annals of Statistics (with discussion), 40(4), 2012.
[7] D. Hsu, S. M. Kakade, and T. Zhang. Robust matrix decomposition with sparse corruptions. IEEE Trans. Inform. Theory, 57:7221–7234, 2011.
[8] A. Jalali, P. Ravikumar, S. Sanghavi, and C. Ruan. A dirty model for multi-task learning. In Neur. Info. Proc. Sys. (NIPS), 23, 2010.
[9] M. McCoy and J. A. Tropp. Two proposals for robust pca using semideﬁnite programming. Electron. J. Statist., 5:1123–1160, 2011.
[10] S. Negahban and M. J. Wainwright. Estimation of (near) low-rank matrices with noise and high-dimensional scaling. Annals of Statistics, 39(2):1069–1097, 2011.
[11] S. Negahban, P. Ravikumar, M. J. Wainwright, and B. Yu. A uniﬁed framework for highdimensional analysis of M-estimators with decomposable regularizers. Statistical Science, 27 (4):538–557, 2012.
[12] G. Raskutti, M. J. Wainwright, and B. Yu. Restricted eigenvalue properties for correlated gaussian designs. Journal of Machine Learning Research (JMLR), 99:2241–2259, 2010.
[13] R. Vershynin. Introduction to the non-asymptotic analysis of random matrices. In Compressed Sensing: Theory and Applications. Cambridge University Press, 2012.
[14] H. Xu and C. Leng. Robust multi-task regression with grossly corrupted observations. Inter. Conf. on AI and Statistics (AISTATS), 2012.
[15] H. Xu, C. Caramanis, and S. Sanghavi. Robust pca via outlier pursuit. IEEE Transactions on Information Theory, 58(5):3047–3064, 2012. 9


{% extends "member/base.html" %} {% block sub-title %}Login | {% endblock %} {% block style %} {% endblock %} {% block content %} {% if ALLOW_ONLINE_REGISTRATION %}
Your username and password didn't match. Please try again.
{% endif %}Your username and password didn't match. Please try again.
{% endif %}


Ask the Kraken TS
If you have a technical question about Khiva or the Shapelets product suite you can also ask in our Gitter channel.
Thanks for yor request!
We will reach you shortly.
Coffee, pitufasos, coffee, espidifenes, coffee, arenosas and more


Before Change
float(feature+1)/nfeatures*100,), cr=True)
// make a copy of the dataset to preserve data integrity
wdata = deepcopy(dataset)
// add noise to current feature
wdata.samples[:, feature] += self.__noise(size=wdata.nsamples)
After Change
// first cast to floating point dtype, because noise is most likely
// floating point as well and "+=" on int would not do the right thing
if not N.issubdtype(dataset.samples.dtype, N.float):
ds = dataset.copy(deep=False)
ds.samples = dataset.samples.astype("float32")
dataset = ds
if __debug__: