twilio.rest.api.v2010.account.queue package¶
Submodules¶
twilio.rest.api.v2010.account.queue.member module¶
This code was generated by / _ _ _| _ _
(_)/(_)(_|/| |(/_ v1.0.0 / /
-
class
twilio.rest.api.v2010.account.queue.member.
MemberContext
(version, account_sid, queue_sid, call_sid)[source]¶ Bases:
twilio.base.instance_context.InstanceContext
-
fetch
()[source]¶ Fetch the MemberInstance
Returns: The fetched MemberInstance Return type: twilio.rest.api.v2010.account.queue.member.MemberInstance
-
-
class
twilio.rest.api.v2010.account.queue.member.
MemberInstance
(version, payload, account_sid, queue_sid, call_sid=None)[source]¶ Bases:
twilio.base.instance_resource.InstanceResource
-
call_sid
¶ Returns: The SID of the Call the resource is associated with Return type: unicode
-
date_enqueued
¶ Returns: The date the member was enqueued Return type: datetime
-
fetch
()[source]¶ Fetch the MemberInstance
Returns: The fetched MemberInstance Return type: twilio.rest.api.v2010.account.queue.member.MemberInstance
-
position
¶ Returns: This member’s current position in the queue. Return type: unicode
-
queue_sid
¶ Returns: The SID of the Queue the member is in Return type: unicode
-
update
(url, method=<object object>)[source]¶ Update the MemberInstance
Parameters: - url (unicode) – The absolute URL of the Queue resource
- method (unicode) – How to pass the update request data
Returns: The updated MemberInstance
Return type:
-
uri
¶ Returns: The URI of the resource, relative to https://api.twilio.com Return type: unicode
-
wait_time
¶ Returns: The number of seconds the member has been in the queue. Return type: unicode
-
-
class
twilio.rest.api.v2010.account.queue.member.
MemberList
(version, account_sid, queue_sid)[source]¶ Bases:
twilio.base.list_resource.ListResource
-
get
(call_sid)[source]¶ Constructs a MemberContext
Parameters: call_sid – The Call SID of the resource(s) to fetch Returns: twilio.rest.api.v2010.account.queue.member.MemberContext Return type: twilio.rest.api.v2010.account.queue.member.MemberContext
-
get_page
(target_url)[source]¶ Retrieve a specific page of MemberInstance records from the API. Request is executed immediately
Parameters: target_url (str) – API-generated URL for the requested results page Returns: Page of MemberInstance Return type: twilio.rest.api.v2010.account.queue.member.MemberPage
-
list
(limit=None, page_size=None)[source]¶ Lists MemberInstance records from the API as a list. Unlike stream(), this operation is eager and will load limit records into memory before returning.
Parameters: - limit (int) – Upper limit for the number of records to return. list() guarantees never to return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, list() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.api.v2010.account.queue.member.MemberInstance]
-
page
(page_token=<object object>, page_number=<object object>, page_size=<object object>)[source]¶ Retrieve a single page of MemberInstance records from the API. Request is executed immediately
Parameters: Returns: Page of MemberInstance
Return type:
-
stream
(limit=None, page_size=None)[source]¶ Streams MemberInstance records from the API as a generator stream. This operation lazily loads records as efficiently as possible until the limit is reached. The results are returned as a generator, so this operation is memory efficient.
Parameters: - limit (int) – Upper limit for the number of records to return. stream() guarantees to never return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, stream() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.api.v2010.account.queue.member.MemberInstance]
-
-
class
twilio.rest.api.v2010.account.queue.member.
MemberPage
(version, response, solution)[source]¶ Bases:
twilio.base.page.Page
-
get_instance
(payload)[source]¶ Build an instance of MemberInstance
Parameters: payload (dict) – Payload response from the API Returns: twilio.rest.api.v2010.account.queue.member.MemberInstance Return type: twilio.rest.api.v2010.account.queue.member.MemberInstance
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Module contents¶
This code was generated by / _ _ _| _ _
(_)/(_)(_|/| |(/_ v1.0.0 / /
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class
twilio.rest.api.v2010.account.queue.
QueueContext
(version, account_sid, sid)[source]¶ Bases:
twilio.base.instance_context.InstanceContext
-
delete
()[source]¶ Deletes the QueueInstance
Returns: True if delete succeeds, False otherwise Return type: bool
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fetch
()[source]¶ Fetch the QueueInstance
Returns: The fetched QueueInstance Return type: twilio.rest.api.v2010.account.queue.QueueInstance
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members
¶ Access the members
Returns: twilio.rest.api.v2010.account.queue.member.MemberList Return type: twilio.rest.api.v2010.account.queue.member.MemberList
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-
class
twilio.rest.api.v2010.account.queue.
QueueInstance
(version, payload, account_sid, sid=None)[source]¶ Bases:
twilio.base.instance_resource.InstanceResource
-
account_sid
¶ Returns: The SID of the Account that created this resource Return type: unicode
-
average_wait_time
¶ Returns: Average wait time of members in the queue Return type: unicode
-
current_size
¶ Returns: The number of calls currently in the queue. Return type: unicode
-
date_created
¶ Returns: The RFC 2822 date and time in GMT that this resource was created Return type: datetime
-
date_updated
¶ Returns: The RFC 2822 date and time in GMT that this resource was last updated Return type: datetime
-
delete
()[source]¶ Deletes the QueueInstance
Returns: True if delete succeeds, False otherwise Return type: bool
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fetch
()[source]¶ Fetch the QueueInstance
Returns: The fetched QueueInstance Return type: twilio.rest.api.v2010.account.queue.QueueInstance
-
friendly_name
¶ Returns: A string that you assigned to describe this resource Return type: unicode
-
max_size
¶ Returns: The max number of calls allowed in the queue Return type: unicode
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members
¶ Access the members
Returns: twilio.rest.api.v2010.account.queue.member.MemberList Return type: twilio.rest.api.v2010.account.queue.member.MemberList
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sid
¶ Returns: The unique string that identifies this resource Return type: unicode
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update
(friendly_name=<object object>, max_size=<object object>)[source]¶ Update the QueueInstance
Parameters: - friendly_name (unicode) – A string to describe this resource
- max_size (unicode) – The max number of calls allowed in the queue
Returns: The updated QueueInstance
Return type:
-
uri
¶ Returns: The URI of this resource, relative to https://api.twilio.com Return type: unicode
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-
class
twilio.rest.api.v2010.account.queue.
QueueList
(version, account_sid)[source]¶ Bases:
twilio.base.list_resource.ListResource
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create
(friendly_name, max_size=<object object>)[source]¶ Create the QueueInstance
Parameters: - friendly_name (unicode) – A string to describe this resource
- max_size (unicode) – The max number of calls allowed in the queue
Returns: The created QueueInstance
Return type:
-
get
(sid)[source]¶ Constructs a QueueContext
Parameters: sid – The unique string that identifies this resource Returns: twilio.rest.api.v2010.account.queue.QueueContext Return type: twilio.rest.api.v2010.account.queue.QueueContext
-
get_page
(target_url)[source]¶ Retrieve a specific page of QueueInstance records from the API. Request is executed immediately
Parameters: target_url (str) – API-generated URL for the requested results page Returns: Page of QueueInstance Return type: twilio.rest.api.v2010.account.queue.QueuePage
-
list
(limit=None, page_size=None)[source]¶ Lists QueueInstance records from the API as a list. Unlike stream(), this operation is eager and will load limit records into memory before returning.
Parameters: - limit (int) – Upper limit for the number of records to return. list() guarantees never to return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, list() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type:
-
page
(page_token=<object object>, page_number=<object object>, page_size=<object object>)[source]¶ Retrieve a single page of QueueInstance records from the API. Request is executed immediately
Parameters: Returns: Page of QueueInstance
Return type:
-
stream
(limit=None, page_size=None)[source]¶ Streams QueueInstance records from the API as a generator stream. This operation lazily loads records as efficiently as possible until the limit is reached. The results are returned as a generator, so this operation is memory efficient.
Parameters: - limit (int) – Upper limit for the number of records to return. stream() guarantees to never return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, stream() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type:
-
-
class
twilio.rest.api.v2010.account.queue.
QueuePage
(version, response, solution)[source]¶ Bases:
twilio.base.page.Page
-
get_instance
(payload)[source]¶ Build an instance of QueueInstance
Parameters: payload (dict) – Payload response from the API Returns: twilio.rest.api.v2010.account.queue.QueueInstance Return type: twilio.rest.api.v2010.account.queue.QueueInstance
-


Sliders¶
All the temporal variables in the data set are listed in the Slider view, shown in Figure 17. If the full list of temporal variables cannot fit within the view, scrolling will be enabled through a scrollbar on the right side of the list. Underneath each variable is a slider for setting that variable’s weight in the MDS calculation. Each slider independently sets the weight of the associated variable. Weights are valued between 0 and 1, with sliders positioned to the far left being set to 0, and sliders on the far right being set to 1. Hovering over a slider displays its actual value, also shown in Figure 17. Users interactively adjust a variable’s weight by dragging the slider, which then triggers changes to the positions of points in the Scatterplot.
The controls shown in Figure 18 appear at the bottom of the Slider view. From left to right, the buttons perform the following functions:
Download all (or part of) the Metadata Table as a CSV file to your local machine.
Set all slider weights to 0.
Set all slider weights to 1.
Set the slider weights to optimize the Scatterplot for the selected Metadata Table column (selected from the dropdown list in the upper right above the Scatterplot, as shown in Figure 20).


openejb deploy - OpenEJB Deploy Tool
openejb deploy options <file> [<file> ...]
The OpenEJB Deploy tool is an OPTIONAL tool that allows you to deploy into a running server and get feedback as if the app was deployed and how it was deployed (deploymentIds, jndi names, etc.).
It can be used to deploy into an offline server, however in this scenario
it simply copies the archive into the deployment directory (by default openejb.base/apps
) which is
something that can be done manually with a simple copy command or drag and
drop.
The OpenEJB Deploy tool can be executed from any directory as long as
openejb.home/bin
is in the system PATH. openejb.home
is the directory
where OpenEJB was installed or unpacked. For for the remainder of this
document we will assume you unpacked OpenEJB into the directory
C:\openejb-3.0
under Windows.
In Windows, the deploy tool can be executed as follows:
C:\openejb-3.0> bin\openejb deploy --help
In UNIX, Linux, or Mac OS X, the deploy tool can be executed as follows:
user@host# bin/openejb deploy --help
Depending on your OpenEJB version, you may need to change execution bits to make the scripts executable. You can do this with the following command.
user@host# chmod +x bin/openejb
From here on out, it will be assumed that you know how to execute the right openejb script for your operating system and commands will appear in shorthand as show below.
openejb deploy --help
The files passed to the Deploy Tool can be any combination of the following:
The type of the files passed is determined as follows:
.ear
or containing a META-INF/application.xml
are
assumed to be EAR files.META-INF/ejb-jar.xml
file or any classes annotated
with @Stateless
, @Stateful
or @MessageDriven
, are assumed to be EJB
applications. EJB applications older that EJB 3.0 should contain a
complete META-INF/ejb-jar.xml
inside the jar, however we do not strictly
enforce that -- the act of it being incomplete makes it an EJB 3.0
application by nature.META-INF/application-client.xml
or with a
META-INF/MANIFEST.MF
containing the Main-Class
attribute, are assumed to
be Application Client archives.| -d, --debug | Increases the level of detail on validation errors and deployment summary. |
| --dir | Sets the destination directory where the app will be deployed.
The default is |
| -conf file | Sets the OpenEJB configuration to the specified file. |
| -h, --help | Lists these options and exit. |
| -o, --offline | Deploys the app to an offline server by copying the archive into the server's apps/ directory. The app will be deployed when the server is started. The default is online. |
| -q, --quiet | Decreases the level of detail on validation and skips the deployment summary. |
| -s, --server-url <url> | Sets the url of the OpenEJB server to which the app will be deployed. The value should be the same as the JNDI Provider URL used to lookup EJBs. The default is 'ejbd://localhost:4201'. |
| -v, --version | Prints the OpenEJB version and exits. |
openejb deploy myapp\fooEjbs.jar myapp\barEjbs.jar
Deploys the beans in the fooEjbs.jar first, then deploys the beans in the barEjbs.jar. Wildcards can be used as well.
openejb deploy myapp*.jar
On running the deploy tool with a valid EJB jar the following output is printed on the console
Application deployed successfully at {0}
App(id=C:\samples\Calculator-new\hello-addservice.jar)
EjbJar(id=hello-addservice.jar, path=C:\samples\Calculator-new\hello-addservice.jar)
Ejb(ejb-name=HelloBean, id=HelloBean)
Jndi(name=HelloBean)
Jndi(name=HelloBeanLocal)
Ejb(ejb-name=AddServiceBean, id=AddServiceBean)
Jndi(name=AddServiceBean)
Jndi(name=AddServiceBeanLocal)
Note: In the above case the command used is:
openejb deploy hello-addservice.jar
The JAR file contains two EJBs: AddServiceBean and HelloBean.


--- title: Plis bisa dong author: FahmiRR date: '2020-06-03' slug: [] categories: [] tags: [] ---
BOSSSS


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Before Change
def test_diff_single_value(es):
diff = Diff(es["stores"]["num_square_feet"], es["stores"][u"région_id"])
pandas_backend = PandasBackend(es, [diff])
df = pandas_backend.calculate_all_features(instance_ids=[5],
time_last=None)
assert df.shape[0] == 1
After Change
def test_diff_single_value(es):
diff = ft.Feature([es["stores"]["num_square_feet"], es["stores"][u"région_id"]], primitive=Diff)
pandas_backend = PandasBackend(es, [diff])
df = pandas_backend.calculate_all_features(instance_ids=[5],
time_last=None)
assert df.shape[0] == 1


Jhonny Lanzuisi
About me
I’m a mathematics student at Simón Bolívar University (SBU). I’m currently working as a freelancer, doing book design in LaTeX and Markdown, as I finish my studies at SBU.
Education
Interests
I’m interested in typography and computer science, specifically TeX—for obvious reasons—and UNIX-like operating systems.
Notes
I intend to keep unordered and possibly unrelated notes about anything I get enough energy to write about. This is the place they’ll be.
Contact
My email is<EMAIL_ADDRESS>Also, my phone number is +58-414-9176851. I have a twitter account @jhonnylanz.


@Stateless
public class Stratocaster {
@Resource(name = "pickups")
private List<Pickup> pickups;
@Resource(name = "style")
private Style style;
@Resource(name = "dateCreated")
private Date dateCreated;
@Resource(name = "guitarStringGuages")
private Map<String, Float> guitarStringGuages;
@Resource(name = "certificateOfAuthenticity")
private File certificateOfAuthenticity;
public Date getDateCreated() {
return dateCreated;
}
/**
* Gets the guage of the electric guitar strings
* used in this guitar.
*
* @param string
* @return
*/
public float getStringGuage(String string) {
return guitarStringGuages.get(string);
}
public List<Pickup> getPickups() {
return pickups;
}
public Style getStyle() {
return style;
}
public File getCertificateOfAuthenticity() {
return certificateOfAuthenticity;
}
}
Custom Injection
Overview
As noted in the Injection of env-entry Example , the EJB 3.0 supported env-entry types are fairly limited. Also the use of several tags in an ejb-jar.xml can get a bit verbose.
OpenEJB does not restrict you to just these data types or require you to use an ejb-jar.xml to declare them.
-
@Resource
can be used on any type for which there isjava.beans.PropertyEditor
-
You may
install your own
PropertyEditors and package them with your app. -
Java Generics are supported (e.g. List myURIs)
-
You may use a
META-INF/env-entries.properties
file as an alternative to an ejb-jar.xml
See Built-in Type Converters for a full list of supported env-entry types.
The source for this example is the "custom-injection" directory located in the openejb-examples.zip available on the download page.
The Code
Bean Class
The META-INF/env-entries.properties file
guitarStringGuages=E1=0.052\nA=0.042\nD=0.030\nG=0.017\nB=0.013\nE=0.010
certificateOfAuthenticity=/tmp/strat-certificate.txt
dateCreated=1962-03-01
pickups=S,S,S
style=VINTAGE
The Custom Type and Editor
Support for java.lang.Enum types is already built-in, but we’ve decided we’d like to allow abbreviated versions of the enum constants to be usable. We do this by creating a custom PropertyEditor for our Pickup enum like so:
public class PickupEditor extends java.beans.PropertyEditorSupport {
public void setAsText(String text) throws IllegalArgumentException {
text = text.trim();
if (text.equalsIgnoreCase("H")) setValue(Pickup.HUMBUCKER);
else if (text.equalsIgnoreCase("S")) setValue(Pickup.SINGLE_COIL);
else throw new IllegalStateException("H and S are the only supported Pickup aliases");
}
}
We cleverly install this PropertyEditor in a static block in the Pickup class that will be executed should someone actually reference the Pickup type.
public enum Pickup {
HUMBUCKER,
SINGLE_COIL;
// Here's the little magic where we register the PickupEditor
// which knows how to create this object from a string.
// You can add any of your own Property Editors in the same way.
static {
PropertyEditorManager.registerEditor(Pickup.class, PickupEditor.class);
}
}
Test Case
public class StratocasterTest extends TestCase {
@EJB
private Stratocaster strat;
public void test() throws Exception {
EJBContainer.createEJBContainer().getContext().bind("inject", this);
Date date = DateFormat.getDateInstance(DateFormat.MEDIUM, Locale.US).parse("Mar 1, 1962");
assertEquals("Strat.getDateCreated()", date, strat.getDateCreated());
List<Pickup> pickups = asList(Pickup.SINGLE_COIL, Pickup.SINGLE_COIL, Pickup.SINGLE_COIL);
assertEquals("Strat.getPickups()", pickups, strat.getPickups());
assertEquals("Strat.getStyle()", Style.VINTAGE, strat.getStyle());
assertEquals("Strat.getStringGuage(\"E1\")", 0.052F, strat.getStringGuage("E1"));
assertEquals("Strat.getStringGuage(\"A\")", 0.042F, strat.getStringGuage("A"));
assertEquals("Strat.getStringGuage(\"D\")", 0.030F, strat.getStringGuage("D"));
assertEquals("Strat.getStringGuage(\"G\")", 0.017F, strat.getStringGuage("G"));
assertEquals("Strat.getStringGuage(\"B\")", 0.013F, strat.getStringGuage("B"));
assertEquals("Strat.getStringGuage(\"E\")", 0.010F, strat.getStringGuage("E"));
File file = new File("/tmp/strat-certificate.txt");
assertEquals("Strat.getCertificateOfAuthenticity()", file,strat.getCertificateOfAuthenticity());
}
}
Running it
Running the example is fairly simple. In the "custom-injection" directory of the openejb:download.html[examples zip], just run:
$ mvn clean install
Which should create output like the following.
-------------------------------------------------------
T E S T S
-------------------------------------------------------
Running org.superbiz.enventries.StratocasterTest
Apache OpenEJB 3.1-SNAPSHOT build: 20080409-12:05
http://tomee.apache.org/
INFO - openejb.home = /Users/dblevins/work/openejb3/examples/custom-injection
INFO - openejb.base = /Users/dblevins/work/openejb3/examples/custom-injection
INFO - Configuring Service(id=Default Security Service, type=SecurityService, provider-id=Default Security Service)
INFO - Configuring Service(id=Default Transaction Manager, type=TransactionManager, provider-id=Default Transaction Manager)
INFO - Configuring Service(id=Default JDK 1.3 ProxyFactory, type=ProxyFactory, provider-id=Default JDK 1.3 ProxyFactory)
INFO - Found EjbModule in classpath: /Users/dblevins/work/openejb3/examples/custom-injection/target/classes
INFO - Configuring app: /Users/dblevins/work/openejb3/examples/custom-injection/target/classes
INFO - Configuring Service(id=Default Stateless Container, type=Container, provider-id=Default Stateless Container)
INFO - Auto-creating a container for bean StratocasterImpl: Container(type=STATELESS, id=Default Stateless Container)
INFO - Loaded Module: /Users/dblevins/work/openejb3/examples/custom-injection/target/classes
INFO - Assembling app: /Users/dblevins/work/openejb3/examples/custom-injection/target/classes
INFO - Jndi(name=StratocasterImplLocal) --> Ejb(deployment-id=StratocasterImpl)
INFO - Created Ejb(deployment-id=StratocasterImpl, ejb-name=StratocasterImpl, container=Default Stateless Container)
INFO - Deployed Application(path=/Users/dblevins/work/openejb3/examples/custom-injection/target/classes)
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.705 sec
Results :
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0


module Out_channel:sig
..end
Output channels.
typet =
out_channel
The type of output channel.
typeopen_flag =
open_flag
=
| |
Open_rdonly |
(* | open for reading. | *) |
| |
Open_wronly |
(* | open for writing. | *) |
| |
Open_append |
(* | open for appending: always write at end of file. | *) |
| |
Open_creat |
(* | create the file if it does not exist. | *) |
| |
Open_trunc |
(* | empty the file if it already exists. | *) |
| |
Open_excl |
(* | fail if Open_creat and the file already exists. | *) |
| |
Open_binary |
(* | open in binary mode (no conversion). | *) |
| |
Open_text |
(* | open in text mode (may perform conversions). | *) |
| |
Open_nonblock |
(* | open in non-blocking mode. | *) |
Opening modes for Out_channel.open_gen
.
val stdout : t
The standard output for the process.
val stderr : t
The standard error output for the process.
val open_bin : string -> t
Open the named file for writing, and return a new output channel on that file, positioned at the beginning of the file. The file is truncated to zero length if it already exists. It is created if it does not already exists.
val open_text : string -> t
Same as Out_channel.open_bin
, but the file is opened in text mode, so that newline
translation takes place during writes. On operating systems that do not
distinguish between text mode and binary mode, this function behaves like
Out_channel.open_bin
.
val open_gen : open_flag list -> int -> string -> t
open_gen mode perm filename
opens the named file for writing, as described
above. The extra argument mode
specifies the opening mode. The extra
argument perm
specifies the file permissions, in case the file must be
created. Out_channel.open_text
and Out_channel.open_bin
are special cases of this
function.
val with_open_bin : string -> (t -> 'a) -> 'a
with_open_bin fn f
opens a channel oc
on file fn
and returns f
. After
ocf
returns, either with a value or by raising an exception, oc
is guaranteed to be closed.
val with_open_text : string -> (t -> 'a) -> 'a
Like Out_channel.with_open_bin
, but the channel is opened in text mode (see
Out_channel.open_text
).
val with_open_gen : open_flag list -> int -> string -> (t -> 'a) -> 'a
Like Out_channel.with_open_bin
, but can specify the opening mode and file permission,
in case the file must be created (see Out_channel.open_gen
).
val seek : t -> int64 -> unit
seek chan pos
sets the current writing position to pos
for channel
chan
. This works only for regular files. On files of other kinds (such as
terminals, pipes and sockets), the behavior is unspecified.
val pos : t -> int64
Return the current writing position for the given channel. Does not work on
channels opened with the Open_append
flag (returns unspecified results).
For files opened in text mode under Windows, the returned position is
approximate (owing to end-of-line conversion); in particular, saving the
current position with Out_channel.pos
, then going back to this position using Out_channel.seek
will not work. For this programming idiom to work reliably and portably,
the file must be opened in binary mode.
val length : t -> int64
Return the size (number of characters) of the regular file on which the given channel is opened. If the channel is opened on a file that is not a regular file, the result is meaningless.
val close : t -> unit
Close the given channel, flushing all buffered write operations. Output
functions raise a Sys_error
exception when they are applied to a closed
output channel, except Out_channel.close
and Out_channel.flush
, which do nothing when applied
to an already closed channel. Note that Out_channel.close
may raise Sys_error
if
the operating system signals an error when flushing or closing.
val close_noerr : t -> unit
Same as Out_channel.close
, but ignore all errors.
val flush : t -> unit
Flush the buffer associated with the given output channel, performing all pending writes on that channel. Interactive programs must be careful about flushing standard output and standard error at the right time.
val flush_all : unit -> unit
Flush all open output channels; ignore errors.
val output_char : t -> char -> unit
Write the character on the given output channel.
val output_byte : t -> int -> unit
Write one 8-bit integer (as the single character with that code) on the given output channel. The given integer is taken modulo 256.
val output_string : t -> string -> unit
Write the string on the given output channel.
val output_bytes : t -> bytes -> unit
Write the byte sequence on the given output channel.
val output : t -> bytes -> int -> int -> unit
output oc buf pos len
writes len
characters from byte sequence buf
,
starting at offset pos
, to the given output channel oc
.
Invalid_argument
if pos
and len
do not designate a valid range of
buf
.val output_substring : t -> string -> int -> int -> unit
Same as Out_channel.output
but take a string as argument instead of a byte
sequence.
val set_binary_mode : t -> bool -> unit
set_binary_mode oc true
sets the channel oc
to binary mode: no
translations take place during output.
set_binary_mode oc false
sets the channel oc
to text mode: depending on
the operating system, some translations may take place during output. For
instance, under Windows, end-of-lines will be translated from \n
to
\r\n
.
This function has no effect under operating systems that do not distinguish between text mode and binary mode.
val set_buffered : t -> bool -> unit
set_buffered oc true
sets the channel oc
to buffered mode. In this
mode, data output on oc
will be buffered until either the internal buffer
is full or the function Out_channel.flush
or Out_channel.flush_all
is called, at which point
it will be sent to the output device.
set_buffered oc false
sets the channel oc
to unbuffered mode. In
this mode, data output on oc
will be sent to the output device
immediately.
All channels are open in buffered mode by default.
val is_buffered : t -> bool
is_buffered oc
returns whether the channel oc
is buffered (see
Out_channel.set_buffered
).


★ Part Two: Measurement and Inference
So in the past two weeks or so, I dove in headfirst to a series of Plasma Physics lectures by V.K. Tripathi. I haven’t studied EMR/Maxwell or Thermodynamics or Netownian Dynamics. I even dropped out of my university physics class at Virginia Tech after about 2 weeks and haven’t tried to seriously study any physics. I had linear algebra, but hadn’t gotten to vector/tensor calculus.
I quickly found myself surrounded by math I hadn’t worked through before, like gradient, divergence, curl, Laplacian and operators in general. I’m working towards understanding Hamiltonian and Hermitian operators. I still don’t know all the details, but is very intuitive to me. Still, that was the greatest challenge. At a high level, I understood the content, but knew I couldn’t do much more without comprehending the low-level details of the math behind the physics. That’s one big difference between watching a TED Talk on fusion and actually taking a class on Plasma Physics.
Radiation of Electromagnetic Energy
I started thinking about directional antennae and reason about what kind of math would allow me to predict the shape of the energy distribution, first given idealized omnidirectional or directional antennae. And later, given the specific structure of a more realistic antenna, I hoped to identify some relationships that would allow computation of energy propagation and distribution.
Just a reminder that I’m working through this problem in my head. I realize that a lot of this is probably wrong and that I haven’t really done the math. But, at a high level, it all seems very simple to me. I’m starting to pick up some math/physics tools that would greatly augment my ability to reason about domains and problems which were formerly completely out of my grasp.
So uhh, keep in mind, this article isn’t about providing an accurate model of this problem. Instead, I’m walking through how I approached the problem.
I had just learned about surface integrals, which are used in the
Laplacian operator. From intuition, it seems like the energy radiated
by an antenna would be fairly constant over time. And for a medium in
which the speed of light is constant, the energy radiated for one
timeslice of length ∂t
should be mostly equivalent to the energy
radiated at some other slice. This assumes that ∂t
is sufficiently
larger than λ / c
, where λ is the wavelength.
A Spherical Cow
This is much simpler given the spherical cow of a pointlike omnidirectional antennae, whose signal is one frequency composed of perfectly distributed energy, radiating in all directions. Given this scenario, and assuming there are no reflections, then calculating the energy distribution is dependent on a point’s distance from the source.
But once you start looking at directional antennae, things become more
complicated. A simple model will just distort the distribution as an
ellispoid-like object on one, two or three axes. That’s not right
though, because the axes don’t need to be orthogonal to each other.
And yet, that’s still not right because the EMR doesn’t even radiate
from a single point. But assuming one goes down this path, this model
is still fairly simple to use. You can model passing small volumes to
a 3D parametric function E-dist(t,x1,x2,y1,x2,z1,x2) -> (E)
that
returns a scalar quantity of energy.
Power In = Power Out + Power Loss
Two very useful values that very useful to know is the rate of
current/energy going into the antenna and how much energy is produced
as EMR. You can correlate those values to the average rate of energy
output, assuming some energy loss given the material specifics. This
power P
implies that for a timestep large enough such that the
average rate of energy output holds, the sum of energy must equal the
power output for that timeslice. This can be very roughly notated as:
∫E(r,t)∂t = P * ∂t
, where we’re either summing over a thin shell
using surface integral or laplacian or getting the difference in
E(r,t+1)
and E(r,t)
. But the point is that we may be able to use
the total power in and efficiency of the antenna to estimate how much
power should appear in a timeslice.
Antenna Mechanics
Spherical and multi-axis directional parametric - both of these models
assume EMR from a pointlike object, but that’s impossible, isn’t it?
So, if it’s not pointlike, then we can’t simply use a parametric
function because that’s too much of an approximation. The mechanics
of an antenna’s shape contributes to distorting that ellipsoid. So one
could divide the antenna into increasingly small 3D pieces – Antenna
Volume Element AVE
for brevity. The space enclosing & surrounding
the antenna is SVE
.
Yet, that’s complicated, isn’t it? It’s going to require a tensor to
map each antenna slice to it’s energy output. And it’s a bit more
complex because for each SVE, to calculate it’s E-SVE, you need the
sum of contributions for a particular timeslice. Because EMR travels
at the speed of light, we’ll need to know that SVE’s distance to each
AVE in the antenna. And therefore, the mapping for the tensor isn’t
just space-to-space
or [x,y,z] => [x,y,z]
or [r1] => [r2]
, it’s
space + time to space. Or [r1 | ∂t*c == dist(r1,r2)] => [r2]
where
∂t
here represents the difference in time for EMR traveling from
r1
to reach r2
, instead of the time difference for each slice or
shell of the EMP radiating from the antenna.
So, given this somewhat complicated domain for the tensor, the energy
contribution of each AVE
can be summed to match the output of the
antenna for each point in space surrounding it. We’ll call this pair
of functions E-AVE()
and E-SVE()
– again, representing the energy
contributions from each chunk of the antenna and the energy received
into each chunk of space surrounding it. An algorithm to calculate
these values can be set up in many different ways, therefore the arity
or parameters of these functions could vary quite a bit. But we know
they at least require some time t
.
E-AVE
can be calculated to return scalar, or a point-like spherical
vector “field”, whose vectors’ magnitudes sum to that scalar,
approximately. Technically, it might not be a vector field, since it
only has vectors radiating outwards from that one point – and it
could require a minimal volume/topology, in order to maintain some
kind of continuity for the calculus. E-SVE
could be calculated
similarly as a scalar value of energy for that volume element, but for
purposes of calculating values for regions on the surface integral of
E-SVE
for specific timeslices of t
, it may help to retain that
directional information. In other words, for each slice of the SVE
,
the EMR there can be calculated from components, but those components
are actually continuous waves (.. particles) that can be traced
backwords to each contributing AVE
. I won’t be using this fact, and
it gets significantly harder with electromagnetic forces that distort
the path of EMR but it’s interesting that everything is kind of woven
together.
So, given an E-AVE
output with directional information, we should be
able to calculate the E-SVE
for each region in the surface
integral. From here we can use the other vector calculus tools to get
a bit more information about how the radiation dissipates as it moves
further away from the antenna.
Surface & Volume Mapping
Another problem: in order to calculate a surface integral for the
shell of radiation at a particular time point t
, or to calculate the
volume of a region of space within a timeslice at t
, we can’t really
specify that operation without either:
(1) Knowing a bit about the shape of that shell at t
and its topology
(2) Or calculating it from the shell of EMR at t = 0 (the surface of the antenna)
Either way, you might have to account for changes in the topology, requiring your algorithm or math to remap the space. I think this implies a kind of discontinuity. E.G. you have a donut shaped antenna: at some point, as the EMR travels outward, that will change from a donut to a disk. Therefore, there will be a timestep that requires a discontinuity if you’re mapping the “surface” of the EMR radiating outwards over increasing timesteps. If you’re just mapping volume chunks and then integrating on those, it’s possible to maintain continuity. I wonder if that’s generally true: that you can just abuse dimensionality, do a bit of remapping and get around problems with continuity in topology. And if so, under what conditions will that hold and why?
This differentiability across a shape that could change topology is important when you want to structure higher order behavior on top of the distribution of EMR. E.G. if you want to design an algorithm that optimizes antenna design for phase coherence at specific distances, where you might want to have a receiver or something. I donno. I really don’t.
But, I think this differentiability across shapes that aren’t topologically continuous is important for differential manifolds, but I haven’t looked into it much yet. I just found Harvard Math 253’s compiled lecture notes and got that onto my Kindle. These look like good notes going from laplacian operator to manifolds to Reimann manifolds, which are used in relativity. I can’t really say I know what a manifold is. I just learned exactly what a vector field was, though they were in my high school textbooks. I thought they were boring because “vector” in the name.
Also, this paper from Toronto on fluid simulation using laplacian eigenfunctions looks cool. I think eigenfunctions allow you to vary operations & behavior based on state of local systems within a large complicated system. I’ve been trying to figure that out for a long time. How to specify various higher-order behaviors to emerge in a particle-based system. It’s probably important for physics based on statistical mechanics and quantum mechanics.
Minimum Distance to Surface
So, yet another “gotcha” and this one’s complicated. The entire antenna doesn’t produce signal. There are a lot of higher order effects here, including those from macro structures and micro structures.
One of the effects from macro structure is caused by the Skin Effect, which causes current to flow towards the outside of electronic structures and influences the design of antenna. This is fairly important in antenna design, but how do you mathematically model it? This is another topological issue where various topological fundamentals may result in drastically different models. It could be an opportunity for performance enhancement, since you might not have to calculate too far into the surface.
But basically, you need to map a coodinate system onto the surface and
then unroll the shape at the midpoint into a 3D surface. where the the
X
and Y
axis give you coordinates on the surface and the Z
axis
gives you depth into the antenna. Although, depending on the
structure, you may only be able to penetrate some units into the
design on the Z
axis before running into mapping issues. This map
will be used for calculating the current contribution of each AVE
to
the EMR output by checking the minimum distance to surface and
checking the current flowing through its neighbors.
You will either need to hardcode in a simulation of the Skin Effect or
model convolution onto each AVE
and its neighbors. If you don’t do
with a small enough AVE
size, then you won’t see the
current/potential looping in the wire that causes the Skin Effect.
Convolution is incredibly expensive. More in a second. That distance
will help you determine how much EMR that node is contributing, but
you need to know how current flows between the nodes to determine the
direction the EMR will be projected. So you need that convolution
anyways.
If you’re modeling a more complex object, you have to specify how to
unroll the object so that you don’t cover volumes twice. You may have
to chain several mappings so that the X
, Y
and Z
coordinates map
proportionally and ideally one-to-one. This is a harder problem
than mapping meshes to surfaces of 3D objects and probably requires
algebraic geometry. Instead of keeping the object as one piece, you
can break it into pieces using an indexed map, but then you may end up
with continuity problems and you have to use another map to mark the
surface that’s exposed.
Convolutional Behavior
Then, to tie it all together, you have to use another map to map the
AVE
as they are subdivided from the original object to the set of
maps to calculate distance to surface. This is so that the
convolution-based behavior can be modeled more easily, without needing
fibers & sheaths and only God knows what kind of algebraic geometry
objects to tie everything together …. I finally figured out how to
read the wikipedia math articles and I found the good YouTube
lectures … but I can’t really do this math. I’m probably making a
lot of glaring mistakes here.
Convolutional behavior is found in machine learning and specifically in computer vision, where it’s used in the lower levels of neural networks to discover edge and color patterns. In computer vision, there are multiple layers, which connect into larger and larger pieces. These are used to identify higher-level and more complicated features. The lower levels often compare the difference in pixel value or contrast value in each pixel and 2 - 5 adjacent pixels.
A Convolution on a pixel and 2 adjacent pixels
Results in up to 25 operations per pixel at that layer.
But convolution in a 3D object would be similar, but in 3 dimensions.
Except, instead of training layers for recognition of patterns –
which actually might be useful – you’re passing these values into a
function that updates the state of the center pixel based on the
gradient of current flow and the divergence in adjacent pixels. Then
it uses the ∂E
value for that pixel to determine its EMR
contribution, since AFAIK, EMR is based on fluctuations in
current. Again, I haven’t taken an E & M class.
This is chained together in a 3D version of Conway’s Game of Life. Every timestep, the state of each pixel is updated based on the results of its convolutions. Sometimes this stuff can be GPU accelerated. Sometimes it can’t.
But the value for EMR produced for each AVE
may more accurate if
something like a plate model is used for each convolution. This means
retaining several copies of each convolution, for each time slice.
It’d be 4D instead of 3D. Plate models are from statistical modeling
and are often used in AI for video games, where you want the computer
to become adjusted to reacting to similar sequences of actions that
may occur over similar but different timescales.
Absorption, Reflection, Dispersion and Anisotropy
These factors are much more complex to accomodate. They require
modeling absorption and reflection data into the materials and then
monte carlo sampling to cast rays. For video games, the rays are cast
from lighting sources and bounce around the scene. Lighting is one of
the first complicated aspects of graphics that you’ll run into. It’s
computation intensive and you have one camera. If you’re calculating
radiation reflection and absorption, each SVE
is basically a camera.
However, if there’s an unobstructed path, one can assume that the
values for adjecent SVE
nodes can be calculated by simply extending
vectors, instead of recalculating everything from the sources.
orientation of energy radiation from AVE - orientation of energy radiating from AVE - E/M anisotropy of adjacent AVE affecting trajectory - alters dispersion and path - requires ray tracing (afaik) - also, i might be completely ignorant of E/M
Stateful Interactions
Some higher-level phenomena can emerge from the convolutions of AVE
and their neighbors. These behaviors can cause the system or that
part of the system to act in a completely different manner, unable to
be sufficiently modeled by the basics. In other words, they are
emergent phenomena. States of matter like solid, liquid, gas, and
plasma are examples where the system takes on completely new behaviors
that are not possible unless that part of the system satisfies
specific conditions.
If I’m right with the wikipedia articles and papers I’ve been reading, then this is where the Hamiltonian operators become useful, which allow you specify complicated systems of behavior. And I think this is where eigenfunctions become useful. Again, you’re going to need to identify a set of conditions that can recognize where in the system these state rules begin to take effect. And then you’re going to need to be able to dynamically maintain a map of the part of the system that adheres to various states. And apply the functions that pertain to the active states in the right order.
As it approaches absolute zero, ice changes into many different forms. But just because a region of ice is at the temperature range for a particular form doesn’t mean it automatically assumes it. Sometimes, some level of kinetic energy must enter the system and then it has the energy it needs to reconfigure itself. Ice has another emergent phenomenon where it blocks out microwaves. Water vibrates and allows the microwaves pass through.
… This is why I have to thaw out my burrito’s because otherwise I end up with burrito slushies. Warm on the outside and a little cold in the middle. Just the way I like ‘em. Yummmm…
Further, there are many magnetic and EMR interactions that emerge from micro/macro structures in the antenna’s crystal lattice. From those interactions emerge stateful behaviors that would cause that. These are moreso micro-level interactions that can build up into higher level behaviors. I’m very much interested in this stuff.
That’s It
Moving on to the next article. Just wanted to explain some of the things I’ve learned lately. I feel like I’ve learned so much in the past two or three weeks, just from watching a few lectures and taking a few notes.
I wish I could dedicate myself to being a fulltime student on Coursera or maybe even a higher education institution. My issue with going back to school for four years officially is that – yes, it’s a bit too expensive, but that’s really not it – it’s that I’d have to settle on one thing for four years and really keep my blinders on. It’d be so hard for me to commit to school without getting distracted by some amazing technology, platform or startup idea.


The ENCODE project aims to discover all the DNA sequences associated with various epigenetic features, with the reasonable expectation that these will also be functional (best tested by genetic methods). However, it is not clear how to relate these results with those from evolutionary analyses. The mouse ENCODE project aims to make this connection explicitly and with a moderate breadth. Assays identical to those being used in the ENCODE project are performed in cell types in mouse that are similar or homologous to those studied in the human project. The comparison will be used to discover which epigenetic features are conserved between mouse and human, and examine the extent to which these overlap with the DNA sequences under negative selection. The contribution of functional DNA preserved in mammals versus function in only one species will be discovered. The results will have a significant impact on the understanding of the evolution of gene regulation.
This track is a multi-view composite track that contains multiple data types (views). For each view, there are multiple subtracks that display individually on the browser. Instructions for configuring multi-view tracks are here. This track contains the following views:
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
Cells were grown according to the approved ENCODE cell culture protocols.
The chromatin immunoprecipitation followed published methods (Welch et al., 2004). Information on antibodies used is available via the hyperlinks in the "Select subtracks" menu. Samples passing initial quality thresholds (enrichment and depletion for positive and negative controls - if available - by quantitative PCR of ChIP material) are processed for library construction for Illumina sequencing, using the ChIP-seq Sample Preparation Kit purchased from Illumina. Starting with a 10 ng sample of ChIP DNA, DNA fragments were repaired to generate blunt ends and a single A nucleotide was added to each end. Double-stranded Illumina adaptors were ligated to the fragments. Ligation products were amplified by 18 cycles of PCR, and the DNA between 250-350 bp was gel purified. Completed libraries were quantified with Quant-iT dsDNA HS Assay Kit. The DNA library was sequenced on the Illumina Genome Analyzer II sequencing system, and more recently on the HiSeq. Cluster generation, linearization, blocking and sequencing primer reagents were provided in the Illumina Cluster Amplification kits. All samples were determined as biological replicates except time course samples. The data displayed are from the pooled reads for all replicates, but individual replicates are available by download.
The resulting 36-nucleotide sequence reads (fastq files) were moved to a data library in Galaxy, and the tools implemented in Galaxy were used for further processing via workflows (Blankenberg et al., 2010). The reads were mapped to the mouse genome (mm9 assembly) using the program bowtie (Langmead et al., 2009), and the files of mapped reads for the ChIP sample and from the "input" control (no antibody) were processed by MACs (Zhang et al., 2008) to call peaks for occupancy by transcription factors, using the parameters mfold=15, bandwidth=125. Since, the signal for some histone modifications is not expected to be tightly localized (compared to a transcription factor), peak calling programs may not be appropriate. Thus in addition, we provide wiggle tracks with tag counts for every 10 bp segment. Per-replicate alignments and sequences are available for download at downloads page.
This is Release 2 (August 2012). It contains a total of 30 ChIP-seq experiments on Histone Modifications with the addition of 1 new experiment.
Previous versions of files are available for download from the FTP site.
Cell growth, ChIP, and Illumina library construction were done primarily by Weisheng Wu, and sequencing on the Illumina platform was done largely by Cheryl Keller in the laboratory of Ross Hardison (PSU). Data processing and analysis were overseen by James Taylor (Emory University), using tools provided in the Galaxy platform (Anton Nekrutenko, PSU, and James Taylor, Emory) enabled by the Penn State Cyberstar computer (supported by the National Science Foundation). Generation of these data was supported by National Institutes of Health grants R01DK065806 and RC2HG005573.
Contact: Ross Hardison
Bernstein BE, Mikkelsen TS, Xie X, Kamal M, Huebert DJ, Cuff J, Fry B, Meissner A, Wernig M, Plath K et al. A bivalent chromatin structure marks key developmental genes in embryonic stem cells. Cell. 2006 Apr 21;125(2):315-26.
Blankenberg D, Gordon A, Von Kuster G, Coraor N, Taylor J, Nekrutenko A, Galaxy Team. Manipulation of FASTQ data with Galaxy. Bioinformatics. 2010 Jul 15;26(14):1783-5.
ENCODE Project Consortium, Birney E, Stamatoyannopoulos JA, Dutta A, Guigó R, Gingeras TR, Margulies EH, Weng Z, Snyder M, Dermitzakis ET et al. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature. 2007 Jun 14;447(7146):799-816.
Heintzman ND, Stuart RK, Hon G, Fu Y, Ching CW, Hawkins RD, Barrera LO, Van Calcar S, Qu C, Ching KA et al. Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nat Genet. 2007 Mar;39(3):311-8.
Langmead B, Trapnell C, Pop M, Salzberg SL. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 2009;10(3):R25.
Müller J, Hart CM, Francis NJ, Vargas ML, Sengupta A, Wild B, Miller EL, O'Connor MB, Kingston RE, Simon JA. Histone methyltransferase activity of a Drosophila Polycomb group repressor complex. Cell. 2002 Oct 18;111(2):197-208.
Rando OJ, Chang HY. Genome-wide views of chromatin structure. Annu Rev Biochem. 2009;78:245-71.
Weiss MJ, Yu C, Orkin SH. Erythroid-cell-specific properties of transcription factor GATA-1 revealed by phenotypic rescue of a gene-targeted cell line. Mol Cell Biol. 1997 Mar;17(3):1642-51.
Welch JJ, Watts JA, Vakoc CR, Yao Y, Wang H, Hardison RC, Blobel GA, Chodosh LA, Weiss MJ. Global regulation of erythroid gene expression by transcription factor GATA-1. Blood. 2004 Nov 15;104(10):3136-47.
Zhang Y, Liu T, Meyer CA, Eeckhoute J, Johnson DS, Bernstein BE, Nusbaum C, Myers RM, Brown M, Li W et al. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008;9(9):R137.
Wu W, Cheng Y, Keller CA, Ernst J, Kumar SA, Mishra T, Morrissey C, Dorman CM, Chen KB, Drautz D et al. Dynamics of the epigenetic landscape during erythroid differentiation after GATA1 restoration. Genome Res. 2011 Oct;21(10):1659-71.
Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. This date is listed in the Restricted Until column, above. The full data release policy for ENCODE is available here.


{% extends "horizon/common/_modal_form.html" %} {% load i18n %} {% block modal-body-right %}
{% trans "Register a identity provider that is trusted by the Identity API to authenticate identities." %}
{% blocktrans %}Remote IDs are associated with the identity provider and are globally unique. This indicates the header attributes to use for mapping federation protocol attributes to Identity API objects. If no value is provided, the list will be set to empty.{% endblocktrans %}
{% blocktrans %}Example: For mod_shib this would be Shib-Identity-Provider, for mod_auth_openidc, this could be HTTP_OIDC_ISS. For mod_auth_mellon, this could be MELLON_IDP.{% endblocktrans %}
{% endblock %}


This file contains various functions that are used by a variety of other stream components.
| Component Summary | |
int->int
|
Saturation
Saturates a stream of integers, forcing them to lie within a specified range. |
int->int
|
BoundedSaturation
Saturates a stream of integers known to lie within some larger range, forcing them to lie within a specified range. |
int->int
|
DivideBy
Divide every value in the stream by a given number, truncating to the nearest integer. |
| Component Detail |
int->int Saturation(int min, int max)
<int>
- A stream of integers.
<int>
- A stream of integers lying between min and max, inclusive. min
- The minimum value any integer in the stream is allowed to assume.
max
- The maximum value any integer in the stream is allowed to assume.
int->int BoundedSaturation(int min, int max, int worst_input_min, int worst_input_max)
<int>
- A stream of integers.
<int>
- A stream of integers lying between min and max, inclusive. min
- The minimum value any integer in the stream is allowed to assume.
max
- The maximum value any integer in the stream is allowed to assume.
worst_input_min
- The absolute minimum value any input could ever take on.
worst_input_max
- The absolute maximum value any input could ever take on.
int->int DivideBy(int div)
<int>
- An integer
<int>
- An integer related to the input by output = floor(input / div) div
- The denominator in the division.


NGU Industries Analyzer & Optimizer
Welcome. You have stumbled upon a NGU Industries file save analyzer and map beacons placement optimizer. Load your save file to view some game progress details. Use the Optimizer section to find near optimal beacons placement on maps, be it for speed, production or a combination of the two.
Warning: There are game spoilers on this page.
This tool is written in GoLang WebAssembly (Wasm). It relies on Go-App and NGUI-Save-Reader . Source code can be found at https://github.com/MisterCodo/ngu .
Select Save File
Load a save file to see game progress details. Furthermore, beacons placement optimization will automatically consider tiles you have yet to unlock in your NGU Industries save file.Beacons Optimizer
1. Select a map:
2. Select beacon types to place:
3. Select an optimization goal. Speed is useful for labs, production is useful for
low speed cap materials and a combination of speed & production is useful otherwise.
4. Click on the map image to block sections you have yet to unlock in the game. Loading a save file handles this automatically.
5. Click Start to optimize the map. The application will block for approximately 15 seconds before displaying results.


Slashbeatz!
Can't afford buying a VR device to play Beat Saber? Say no more! 𝐒𝐥𝐚𝐬𝐡 𝐰𝐢𝐭𝐡 𝐛𝐞𝐚𝐭 𝐚𝐧𝐝 𝐠𝐞𝐭 𝐟𝐢𝐭 𝐰𝐢𝐭𝐡 𝐒𝐥𝐚𝐬𝐡𝐛𝐞𝐚𝐭𝐳! Learn to use Slashbeatz, a game that uses body poses to track you. Start the game, step away from your computer and try to slash as many blocks as you can!
𝐍𝐎𝐓𝐄 : 𝐒𝐥𝐚𝐬𝐡𝐛𝐞𝐚𝐭𝐳 𝐢𝐬 𝐛𝐞𝐬𝐭 𝐩𝐥𝐚𝐲𝐞𝐝 𝐨𝐧 𝐚 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫! 💻
Start Game
Brought to you by Neilblaze , Sandipndev and Saif


Interpretation of a slug test
This demonstrates the interpretation of a slug test with the Cooper et al. (1967) solution
MIT License Copyright (c) 2017 Philippe Renard - University of Neuchâtel (CHYN)
Contents
Load the data
The data set for this example comes from: Butler James, 1998, The design, performance and analysis of slug tests. Lewis Publisher. Data set from table 5.2 pp. 61-62. Localisation: Test performed in a monitoring well in Lincoln County, Kansas Geology : The well was screened in a deltaic sequence consisting of mudstone interbedded with very fine sandstone
Let us first load the data
[t,s]=ldf('csl_ds1.dat');
| HYTOOL Demo |
Interpretation
Once the data have been loaded and the parameter defined, we can interpret the data. As usual, we can use the guess function to obtain a first estimates of the parameter and check the quality of the first guess with the trial function.
Note that the trial function can be used to adjust manually the parameters if required.
p=csl_gss(t,s);
trial('csl',p,t,s)
We then apply the non linear fit and create the report. We find the folowing values for the transmissivity:
T = 1.3 e-8 m2/s Cd = 45 for the wellbore storage coefficient
p=fit('csl',p,t,s); rw=0.071; % Radius of the well in m rc=0.025; % Radius of the casing in m csl_pre(rw,rc); csl_rpt(p,t,s,'Butler example - automatic fit')
Norm of Norm of Iteration SSE Gradient Step ----------------------------------------------------------- 0 0.00748307 1 0.00415603 0.00118971 3261.17 2 0.00271204 0.000352819 740.016 3 0.00234342 0.000103171 228.352 4 0.00215481 5.27217e-05 304.757 5 0.00194699 7.69686e-05 485.11 6 0.00187145 4.45939e-05 283.004 7 0.00182692 5.03067e-05 256.715 8 0.00181638 2.13386e-05 227.499 9 0.00181638 9.74909e-06 0.00578613 10 0.00181638 2.65543e-05 2.13093e-14 Iterations terminated: relative norm of the current step is less than OPTIONS.TolX
The results compares well with the values found by Cooper et al. (1967) with type-curve matching: alpha = 0.0125 corresponding to a value of Cd=40 T = 1.23 e-8 m2/s


Visualization of common sorting algorithms
From top to bottom:
Source code is available on GitHub, made by Vladimir Nikitin


In MusicBrainz terminology, a work is a distinct intellectual or artistic creation, which can be expressed in the form of one or more audio recordings.
More...
In MusicBrainz terminology, a work is a distinct intellectual or artistic creation, which can be expressed in the form of one or more audio recordings.
◆ Disambiguation
| string YTMusicUploader.MusicBrainz.API.Entities.Work.Disambiguation |
|
getset |
Gets or sets the disambiguation.
◆ Id
| string YTMusicUploader.MusicBrainz.API.Entities.Work.Id |
|
getset |
◆ ISWC
| string YTMusicUploader.MusicBrainz.API.Entities.Work.ISWC |
|
getset |
Gets or sets the ISW code.
◆ Language
| string YTMusicUploader.MusicBrainz.API.Entities.Work.Language |
|
getset |
Gets or sets the language.
◆ Relations
| List<Relation> YTMusicUploader.MusicBrainz.API.Entities.Work.Relations |
|
getset |
Gets or sets a list of relations associated to this work.
var e = await Work.GetAsync(mbid, "url-rels");
◆ Title
| string YTMusicUploader.MusicBrainz.API.Entities.Work.Title |
|
getset |
◆ Type
| string YTMusicUploader.MusicBrainz.API.Entities.Work.Type |
|
getset |
The documentation for this class was generated from the following file:
- D:/Repositories/YTMusicUploader/YTMusicUploader/Providers/MusicBrainz/Entities/Work.cs


When the sun starts setting early, the body starts aching for some more substantial food, and salads no long have an appeal. it is time for an earthy dish, with one of the most nutritious, flavorsome, and yet vilified, organ meats: liver. It is also a very cheap meat that and cooks extremely fast. To add to the Autumnal feel of this dish, there is also cabbage and parsnip. All in all a very healthy and flavorsome dish.
Variations
Instead of the hearts and liver, you can use just one of those, or replace them with giblets. Additionally, spicy it up with more piri-piri and serve it as a snack with a beer (or two) and friends. This variation is very popular in Portugal.
The parsnip fries will go well with other dishes, specially roasts. You can also experiment with other spices or herbs, for instance Rosemary, instead of the paprika.
And how to pick the best Chouriço you ask? Actually, for this dish the best chouriço is not what you are looking for. The best one is mostly meat, and very little fat, which excellent as a petisco (appetizer or Tapas). For this dish however, you want one with fast which will release the nice spices into the sauce. We call it “Chouriço corrente”.
Inspiration
For the stew the starting point was a classical Portuguese giblets snack which I replaced with liver and hearths because my SO is not fond of giblets. The cabbage was a serendipitous experiment one day that there was some left over in the fridge.
There are plenty of parsnip fries in the interwebs, but this is one of the simplest ones. My version is pretty much the same - without the extra sauce - and adjusted for my oven.
- Servings: 4
- Prep Time: 30 mins
- Cook Time: 40 mins
- Total Time: 70 mins
Ingredients
Stew
- chiken hearts and livers: 1000 g, frozen
- Savoy cabbage: half, diced
- Onion: 1, chopped
- Garlic: 2, chopped
- Butter: 2 tablespoon
- White wine: 3 dl, or lager/IPA/bitter beer
- Water: 2 dl
- Chouriço: 70 grams, cubbed in small chunks
- Tomato paste: 6 tablespoons
- Bay leaves: 3
- Piri-piri: to taste, can be replaced with dried chilies
- Salt: to taste, can be replaced with dried chilies
Parsnip chips
- Parsnips: 6, about 500 grams
- Olive oil: 1 tablespoon
- Paprika: to taste, about a teaspoon
- Sea salt: to taste
Directions
Parsnip fries
- Preheat oven to 190ºc.
- Peel the parsnips - a potato peeler will do - chop the tops off, and cut in fries.
- Mix the parsnips with the olive oil, paprika and salt, and lay in a roasting tin covered with baking paper. Roast for 25 minutes, turn them and roast for another 10 minutes. Mind you times may vary depending on your oven.
Red Curi Squash mash
- Thaw the the liver and hearts, wash with cold water, remove extra fat, dry with kitchen paper and cut the livers in half.
- In a pot, fry the livers in butter for about 5 minutes in medium heat until they are half-done. They will finish cooking later in the stew. Removed them from the pot and set aside.
- If needed add some more butter to the pan, and gently fry onion and garlic. Also add the bay leaves.
- After about 5 minutes, or when the onion is translucent, add the chouriço frying it for a little bit to release some of the spices and fat, and then hearts mixing it all together. Add some salt and the chilies/piri-piri, cover the pot and fry for 5 minutes.
- Throw in the tomato paste, wine and water, mix it all up, cook for another 10 minutes and then add the cabbage. In the closed pot the cabbage will wilt during the cooking. Let it cook for about 15 minutes.
- Add the livers, mix it all up so it can gain extra flavor from the sauce and cook for another 5 minutes.


Conventions Used in This Book
This section covers the conventions used in this book.
Keystroke Notation
Emacs commands
consist of a modifier, such as Ctrl
or Meta, followed by one or two
characters. Commands shown in this book abbreviate Ctrl to C
and Meta to M:
- C-g
-
Hold down the Ctrl key and press
g.
- M-x
-
Hold down the Meta key and press
x.
Sometimes Meta is followed by a
literal hyphen character. In these cases, we spell out Meta:
- Meta -
-
Hold down the Meta key and press
-.
To complete a command you may need to press Enter. (This key may be labeled Return.)
- Enter
-
Press the Enter key.
- Esc
-
Can be used as an alternative to Meta. Press Esc, release it, then
press the next key.
A few mouse commands use the Shift
key as a modifier, often in combination with the Ctrl key. This is abbreviated as:
- S-right
-
Hold down Shift and click the right
mouse button.
- C-S-right
-
Hold down Shift and Ctrl and click the right mouse button.
All Emacs commands, even the simplest ones, have a full name; for
example, forward-word is equivalent
to the keystrokes M-f, and forward-char is equivalent to C-f. This tying of a command to a keystroke
combination is called a key binding. Some commands have only full
names, with no corresponding key binding.
When we discuss a command, we'll give both its full
name and the keystrokes (if any) that you can type to invoke it.
Command Tables
To find a group of commands quickly, look for tables in each section
that summarize commands. These tables are formatted like this:
|
Keystrokes
|
Command name
|
Action
|
|---|
|
C-n
|
next-line
|
Move to the next line.
| |
C-x C-fFile
Open File
|
find-file
|
Open a specified file.
| |
(none)
|
yow
|
Print ineffable wisdom from the Pinhead in the minibuffer.
|
The first column shows the default key binding for the command, the
second column shows the command's full name, and the
third column describes what the command does. For example, pressing
C-n (also known as the next-line command) moves the cursor to the
next line in the file. Some commands, like C-x
C-f, can also be reached through menus. If there is a menu
option for a particular command, it is given in
italics below the keystrokes for the command.
For example, you can use the find-file command by typing C-x C-f or by selecting Open File from the File menu. Sometimes you'll
see (none) in the keystrokes column, which
doesn't mean you can't use the
command, but rather that the command isn't bound to
particular keystrokes. To use commands with no keystrokes, type
M-x, followed by the
command's full name, and press Enter. (Try typing M-x
pong Enter sometime.)
Examples
Throughout the book, you'll find keystrokes to type,
followed by a screenshot showing the results.
|
Type: C-x C-f
myfile
| |
| |
Use the find-file command to open a
file or create a new file.
|
C-x C-f is in bold, indicating that
this is exactly what you type. myfile is
shown in constant width italics because you could substitute any
filename you choose and need not type exactly what you see here.
Typically, these screenshots come from a Linux system. We also
include screenshots taken on Mac OS X and Windows. When we show such
screenshots, we include an indication of the platform in the caption
for the screenshot.
Toward the end of the book, when we're discussing
programming modes, customization, and Lisp programming, screenshots
become rather unwieldy. We eventually use fewer of them. Instead, we
may show one or two lines of text. If it's relevant,
we show the cursor's position:
/* This is a c comment */
Font Usage
This book uses the following font conventions:
- boldface
-
Indicates operating system commands, Emacs keystrokes, command names,
and variables.
- italic
-
Indicates filenames, URLs, and new terms when first introduced.
- constant width
-
Indicates buffer names, Lisp code, C code, Emacs messages, and other
excerpts from programs.
- constant width italic
-
Indicates dummy parameters that you replace with an actual value. May
also be shown sometimes in angle brackets (<filename>).
|


CEP Event Tracer is an important tool to monitor events. This tool provides huge functionality to trace the event in each and every component. Event tracer will help to check the event when travels along the components. But user needs to enable the tracing in each configuration manually because by default tracing is disabled.�
As shown above, you can simply enable or disable event tracing for Input Event Adaptor configuration. You can follow the sample approach for Output Event Adaptor, Event Builder, Event Processor and Event Formatter as well, But consider any change in tracing status will lead to redeployment of necessary configuration.
Follow the instructions below to access the Event Tracer.
1. Click on "Monitor" on the left side to access the "Monitor" menu.
2. In the "Monitor" menu, click on "Event Tracer."
3. The "Event Tracer" page appears.
4. After tracing enabled for necessary configuration, you can see how the incoming events traverse through the components of the CEP and how the events got changed. If you click the Clear All button all the event related data will be deleted permanently.
Here you can use the search option to refine the data in the UI as shown below.


November notes
30 Nov 2018A few notes for November 2018.
A new paper on descriptive complexity of distributed computing
Descriptive complexity basically aims at characterizing complexity classes through logic. A classic results is Fagin’s Theorem that characterizes NP. Descriptive complexity for distributed computing is a relatively new topic,1 and a new paper just came out on arxiv. I’m not a specialist, but from what I understood, the classic assumption of the LOCAL model that there are unique identifiers, is pretty difficult to transfer into logic, and this paper seems to make a step in this direction.
A map of the theory of distributed computing community
Jukka Suomela published
a nice map of the
PODC/DISC communities. (PODC and DISC are the two main conferences in theory
of distributed computing.)
It is a graph where the nodes are the authors, and the edges between them
have different thickness,
depending on how much they have collaborated, or have had papers in the same
sessions. There are strong thematic clusters, which is no surprise.
Symmetries in LPs and SOS
I attended the PhD defense of Cécile Rottner who was a student in the OR team of LIP6. Her thesis was about a problem that any electric utility company faces: how to manage the different the power plants to meet the demand while using the less energy possible, given that there are many constraints on these plants (a nuclear reactor cannot be switched on and off in a minute, some other stuff has to cool down, etc.). As often in OR (as far as I know) this is done by having big LPs and playing with them, adding new inequalities, trying to use the structure to speed the computation, having branch and cut routines etc.
One of the big challenges that one has to tackle when solving these big LPs in an industrial context is to break the symmetries. Suppose you have two identical nuclear reactors in your system. Then if you use one or the other in your solution, you will have the same cost. This implies that you can have many many optimal solutions. This is bad for a branch and cut strategy, where the ideal case is to have only one optimal solution, and to be cutting all the other branches quickly. Cécile showed ways to solve this problem.
This reminded me of another PhD defense with symmetries: the one of Victor Verdugo. Victor had a part of his PhD work on how to break symmetry for sum-of-squares. The timing for this blog post is pretty good: the paper of Victor on this topic just appeared on arxiv, here.
Double-blind for DISC
The conference DISC will go double-blind next year (that is the names of both the reviewers and the authors will be anonymized).2 At first I was sceptical about this idea, because of the usual reasons: extra-care in the process (e.g. when talking to people) with probably no big impact, etc. But recently I reviewed a paper by authors from a university I had never heard of, and I felt that before even starting I had a negative bias. I think double-blind is exactly about protecting authors from this bias.
I heard many times that the problem is that well-known people get their papers accepted although they are not good enough, and I think this cannot really change (because of arxiv, favourite topics, writing style), but it’s the other side of the spectrum that can be made more fair. So let’s see how it goes.
A few points on networks and games
I attended a talk at LIP6 by Ariel Orda on game theory and networks. The talk described two very interesting works, but I just picked a few non-specific things that caught my interest.
Network formation games
The first topic is about understanding the structure of real-world networks, by finding ways to build algorithmically networks that have similar properties. A well-known generation algorithm is the Barabási–Albert model where nodes basically arrive one by one and choose who to be linked to, based on the degree of the nodes that already arrived. There is a second type of network formation model that I didn’t know,3,4 which is to start with a fixed set of nodes, and to make them play a game to decide which edges are in the graph. For example, the nodes want to maximize their pay-offs in a game where every link cost something, but having short paths to every node is rewarded. These are called network formation games.
Monetary transfer
The second idea is about introducing money in games. Suppose you have a Nash equilibrium that is very bad (for some definition of bad) because each player, when maximizing its gain, is hurting the other players a lot. Then you can introduce monetary transfer, that consists for two players A and B to agree that if the A does this thing that decreases its pay-off but increases the pay-off of B, then B will give part of its pay-off to reimburse A, and both will be happier. Natural idea to consider, but that I had never heard of.
Using motifs to validate a model
I knew that people studying social networks are obsessed with finding motifs (small graphs that appear more often than others), but I was not sure why. It could be just to have more knowledge about the relationships, but in Orda’s talk, it was also a way to validate a model. Basically: in real-world graphs this and that motifs are very common, we don’t know why, and previous generative models did not have this property, but their model could capture this. As far as I know, parameters such as the diameter, or the clustering coefficient are more classic ways to validate such models.
About the price of anarchy, selfishness and collaboration
The price of anarchy, is the ratio between the social cost when each players tries to optimize its own pay-off, and when all the players play the strategy that minimize the social cost. It is often said that this price is the price to pay when players are selfish. But it is not completely true, it is also the price of not collaborating. You can image scenarios in which players have the option of collaborating but each player will agree only if it ensures a better pay-off. That is the players are still selfish but they can talk to each other and make agreements. This can change the outcome a lot. Then one will consider what is called a Nash bargaining solution.
Footnotes
-
If you are interested, see Fabian Reiter’s very nice PhD thesis, and the gentle introduction to the topic I wrote on semidoc. ↩
-
See this tweet ↩
-
There seems that there is no third well-known way to generate networks, at least in the wikipedia article about network formation. ↩
-
Actually I somehow knew because of this paper by my PhD advisor and colleges, but I had forgotten. ↩


This package contains interfaces of a set of functions and models used in the Modelica Standard Library that requires a tool specific implementation. There is an associated package called ModelicaServices. A tool vendor should provide a proper implementation of this library for the corresponding tool. The default implementation is "do nothing". In the Modelica Standard Library, the models and functions of ModelicaServices are used.
| Name | Description |
|---|---|
| Animation | Models and functions for 3-dim. animation |
| ExternalReferences | Functions to access external resources |
| System | System dependent functions |


Current test progress
Started: {{activeTest.createDate | date:'medium'}}
Result: {{activeTest.points}}
Click to navigate questions
{{index + 1}}
Question #{{activeQuestionId}}
Click to submit the answer
Click to navigate questions
{{index + 1}}


I especially wish to advertise this service in Communities Magazine because I've learned so much from my time at communities in the past--Earthaven, Quail Springs, and permaculture gatherings (SE, SoCal), and Frank Cook in particular.
Group size: 1 to 6 participants
Length: 24 hours to 2 weeks
What this may look like:
We select a place in the wilderness were we can sit relatively undisturbed for the length of the solo. We hike to a central point in the woods/desert/beach together. We may camp and eat together the first evening. The next morning we select spots out of sight but perhaps within sound of each other. We go to those spots. I remain at a central point in case you have difficulties or first aid needs. You can also shout your name and others can shout your name once they hear you and I can help you that way. I can also bring you food, uncooked or cooked (you provide food, big enough pot, etc. to do the cooking) or reading/writing material at intervals throughout the solo.
When solo is over, we meet and return to town/city/village perhaps after or while sharing stories about some of what happened or what we noticed during our solos.
Coming someday:
Why you'd benefit from my help with your solo:
I also especially enjoy planning and doing solos where we can get to the solo site without using cars--so by hiking, biking, kick scooter, or bus or train.
I have facilitated solos from 3 hours to 72 hours in the San Juan Islands, Joshua Tree National Park and San Juan National Forest (the Colorado Plateau). I continue to explore the country and world and may already know of a good place for solos near you.
Why do this? You'll learn and practice that wherever there is wilderness you have a home. (and other reasons)
related links:
Check my map / calendar for where I might be. Please give me the chance to serve.
Let me know you want to do this and let's see if we can get something scheduled!
12/2/2011: Here's the ad I placed in _Communities Magazine_:
Spend time alone with others in the woods! 24hrs to two weeks. Solo / sit spot support by Colin. j9k.org/solos<PHONE_NUMBER>
I've also considered advertising in _Adventure Cycling_
The following quote by Dimnet speaks to my motivation for doing and facilitating solos:There is in every man a feeling of enmity to things whether they happen or only exist.  The notion of a vacuum is repellent to us, but let enough appear round us and above us to create the idea of a shelter and we breathe freely and happily. We "find ourselves" as the phrase goes, our poor, neglected self, dearest of friends, yet dragged along everywhere like an ill-treated dog, hardly every spoken to or taken notice of, going where it listeth not, till at last the unnaturalness of it all appears, and, for a few hours, we live instead of just being alive. (_The Art of Thinking_, Ernest Dimnet, p. 92, 1928)


public class Motor
extends java.lang.Object
| Constructor and Description |
|---|
Motor(int port)
Creates a new Motor object.
|
| Modifier and Type | Method and Description |
|---|---|
void |
backward()
Turns the motor speed to full backward.
|
void |
blockMotorDone()
Sets the current thread to idle until the motor is done with movement.
|
void |
clearPositionCount()
Resets the position counter of this motor object to 0
|
void |
forward()
Turns the motor speed to full forward.
|
void |
freeze()
Prevents the current motor movement.
|
int |
getPort()
Returns the port of this motor object.
|
boolean |
isMotorDone()
Returns if the motor is done with movement.
|
void |
moveAtVelocity(int velocity)
Moves the motor at velocity with the specified ticks per seconds.
|
void |
moveToPosition(int speed,
int targetPos)
Moves the motor to the specified position at the specified.
|
void |
moveToRelativePosition(int speed,
int posDelta)
Moves the motor from its current position to current position + pos.
|
void |
off()
Turns the motor off.
|
void |
run(int percent)
Turn motor on the specified percentage.
|
void |
setPidGains(short p,
short i,
short d,
short pd,
short id,
short dd)
Adjusts the weights of the PID control.
|
void |
setPort(int port)
Sets the port of this motor object.
|
void |
turn(int percent)
Deprecated.
|
public Motor(int port) throws InvalidPortException
port
- port of the Link, where the motor is connected toInvalidPortException
- If the specified port is invalidpublic void clearPositionCount()
public void moveAtVelocity(int velocity)
velocity
- velocity in ticks per second (range from -1000 to 1000)public void moveToPosition(int speed, int targetPos)
speed
- motor speed (range from 0 to 1000)targetPos
- motor position until the motor stopspublic void moveToRelativePosition(int speed, int posDelta)
speed
- speed in ticks (range from -1000 to 1000)posDelta
- difference of the current and the final positionpublic void setPidGains(short p, short i, short d, short pd, short id, short dd)
p
- numerator for p coefficienti
- numerator for i coefficientd
- numerator for d coefficientpd
- p respective denominatorid
- i respective denominatordd
- d respective denominatorpublic void freeze()
public boolean isMotorDone()
true
if motor is done with movement, false
otherwisepublic void blockMotorDone()
public void forward()
public void backward()
public void turn(int percent)
percent
- percentage with which the motor turnspublic void run(int percent)
percent
- motor's percentagepublic void off()
public int getPort()
public void setPort(int port) throws InvalidPortException
port
- port of the Link, where the motor is connected toInvalidPortException
- If the specified port is invalid


{% extends "politics/Page.html" %} {% load staticfiles otree %} {% block title %} Breaking News (2/2) {% endblock %} {% block content %} {% include Constants.vignette %}
Take notice on the following information:
• The probability of {% if subsession.winning_cand == 'A' %}President A{% else %}President B{% endif %} being guilty
is {{ guilty_prob }}% .
• This news source is somehow known to be not fully accurate. You know that in the past, this newspaper claims are
only {{reliability}}% true. In other words, their predictions are only correct at {{reliability}}% of the times.
• You also know that the chance of justice system on sentencing punishment, given someone is guilty
is only {{pct_impeach}}%.
Given the information above, please estimate the chance that {% if subsession.winning_cand == 'A' %} President A {% else %} President B {% endif %} will be impeached, given this news is true. Notice that there is one correct solution. The closer your estimate to the correct solution, the higher will be your payoff from this task. You may win a maximum of {{ Constants.accuracy_multiplier }} points on this task. No points will be deducted from any inaccurate answer.
{% formfield player.accuracy_est label="Question (2/2): Now answer this question. How likely do you think the president would be impeached given this news is true?" %}You may press the next button whenever you are settled with your answer.
{% next_button %} {% endblock %}


|
IOH
<IP_ADDRESS>
Experimentation procedure for Iterative Optimization Heuristics
|
Events determining when to do a log event. More...
Functions | |
| Any & | ioh::trigger::any (logger::Triggers triggers) |
| Do log if ANY of the given triggers is fired. | |
| All & | ioh::trigger::all (logger::Triggers triggers) |
| Do log if ALL the given triggers are fired. | |
| Each & | ioh::trigger::each (const size_t interval, const size_t starting_at=0) |
| Do log every given number of function evaluations. More... | |
| At & | ioh::trigger::at (const std::set< size_t > time_points) |
| Do log at the given number of evaluations. | |
| During & | ioh::trigger::during (const std::set< std::pair< size_t, size_t >> time_ranges) |
| Do log if the number of evaluations falls in at least one of the given ranges. More... | |
Variables | |
| Always | ioh::trigger::always |
| Do log at every call of the objective function. | |
| OnImprovement | ioh::trigger::on_improvement |
| Do log only if the transformed best objective function value found so far has strictly improved. | |
Events determining when to do a log event.
Examples:
Some triggers need to be instantiated with parameters before being passed to a logger, you can use the related free functions (lower-case name) to do so on the heap.
For example:
|
inline |
Do log if the number of evaluations falls in at least one of the given ranges.
[start,end]
, the trigger will fire for start and end. Ranges may overlap with each other.
|
inline |
Do log every given number of function evaluations.
Starts counting at zero by default.


Hi! I'm Arlo :) In this blog I will talk about some of my favorite toys and activities.
First, a few things about me.
I am 10 moths old and my owner says I am about to get "fixed." I am about 35 pounds and am a Texas Heeler. Which is a cattle dog mix breed. My owner says I am the cutest dog ever and tells me to stop growing but I can't help it!
I will usually chew a hole into my toys after a short time. For some reason my owners try to throw my toy away after this but I am working on a way to hide them so they never get tossed in the trash!


Re-define{
The world today is in the grip of fast emerging changes where the very basics of how things work across realms are being challenged. Supported by the immensity of human ambition and potency of the knowledge firepower gathered, each step forward can be a step towards a point of no return. In these times of change, it becomes essential to redefine the set norms and be mindful that no development is attained at the cost of sustenance
8th Sept2013
14:15PM - 17:00PM
Zila Parishad Hall-Kachehri
Dharamsala
Schedule
- 14:15Registration
- 15:00OpeningArvin, TEDx Himachal
- 17:00ClosingTEDx Dharamshala team
How to get to the Venue
Zila Parishad Hall, 120m from Kachehri Bus Stop
View Kachehri Bus Stop in a larger map


The Department of Technology Promotion and Coordination
University of Computer Studies
Second Year (B.C.Teach)
Final Examination
Digital Design I(CT-205)
September, 2016
Zone III
-
- Answer ALL the questions.
- Difference between a RAM and ROM
- Describe an LUT and discuss its purpose.
- What does quantization mean?
- What is Multithreading?
- Discuss ANY THREE of the following:
- What is a total bit capacity of a ROM that has 15 address lines and 8 data outputs?
- Discuss the Sampling Theorem.
- What are the word length and the word capacity of 245k x 4 RAM.
- Explain how analog signals are converted to digital form.
- Comapre polled I/O to interrupt-driven I/O.
-
-
Describe how you would expand a 64k x 4 ROM to form a 64k x 8 ROM. Show the logic diagram.
- Show how a PAL is programmed for the three-variables logic function:
<---Enter Photo----->. Simplify the expression, if necessary, to fit the PAL type array.
-
- Show the base 3-variable LUT programmed to produce the follwoning function:
<-----Enter Photo--------..
- Use one or more of the slices in Figure 3(b) to implement a 16-input AND gate in a CLB.
<--------Enter Photo--------->
-
- The waveforms shown in Figure 4(a) is applied to a sampling circuit and is sampled every 3ms. Show the output of the sampling circuit. Assume a one-to-one voltage correspondence between the input and output. And this output of the sampling circuit is applied to a hold circuit. Show the output of the hold circuit. And then if the output of the hold circuit is quantized using two bits, what is the rsulting sequence of binary codes?
<-------Enter Photo-------->
-
Graph the analog function represented by the following sequence of binary numbers:
1111, 1110, 1101, 1100, 1010, 1001, 1000, 0111, 0101, 0100, 0101, 0110, 0111, 1000, 1001, 1010, 1011, 1100, 1100, 1100, 1011, 1010, 1001.
-
- What is the microprocessor? Explain four units that are common to all microprocessor.
- What are the three basic steps a processor repeatedly cycles through?
- Determine the physical address if the Code Segment register contains (FA82)16 and instruction Pointer register contains (C0F2)16.
- The user's language can be referred as...........
(a).Core Language (b)task language (c)Performance language (d)articulation language
- In a type writer, the space key is passive; it merely moves the insertion point one space to the ..........
(a).Left (b).right (c).center (d)button
- In HCI, A computer could mean:
(a)Desktop computer (b)Large scale computer system (c)Website (d)All of the above
-
The human ear can hear frequencies from about
(a).20Hz to 15kHz (b)20kHz to 15Hz (c)15kHz to 20Hz (d)15Hz to 20kHz
- The color which is hardest for text reading is:
(a)red (b)blue (c)green (d)white
- To help users remember your design.
(a)Provide them with easy to read manuals
(b)Provide them with hahdy shortcuts for important tasks.
(c)Design for recognition
(d)None of the above
- The maximum number of chunks we can remember in working memory is
(a)5 ± 2 (b)6 ± 2 (c)7 ± 2 (d)8 ± 2
- Printing quality is measured by
(a)bps (b)cps (c)ppm (d)dpi
- The reasoning derives the logically necessary conclusiion from the given premises is called Deductive
(a)reasoning (b)Inductive reasoning (c)abductive reasoning (d)logical reasoning(10 marks in total)
- Answer the following short questions.
- What is the distinction between a process-oriented and structure-oriented design rationale technique?(3 marks)
- How to classify human error-slips and mistake?(3 marks)
- Differences between system's language and user's language?(2 marks)
- Mention "" Why scenarios can be used?""(2 marks)
- Define three types of memory or memory function.(2 marks)
- What are the translation involved in the interaction?(3 marks)
- Write down the stages involved in Norman's model of interaction.(5 marks)
- Differences between short and long term memory.(5 marks)
- Express the common interface styles between computer and user. And explain TWO of currently used styles.(5 marks)
- What is the basic architecture of a computer system?(5 marks)
(35 marks in total)


--- title: The fastest gun in the world layout: post ---
This is totally amazing. You must watch this video right now!


This post mentions some of the issues we faced while implementing XMPP chat with ejabberd server and solutions for it. Our’s is a rails app that uses ejabberd as chat server.
1) User registration from our app -
Our requirement is that when a new user signs up to our app, a new ejabberd account needs to be created. Obviously this is the same case with many of the apps. We used ruby’ XMPP client for this. We were seeing an error that users could not be created as the limit for the number of users reached.
The reason is that ejabberd by default has a limit that only x number of users can be registered every 10 mins. This is configurable.
Fix -
Edit the ejabberd config file (a yml file and in our case it is at - /opt/ejabberd-15.04/conf/ejabberd.yml
) and set registration_timeout to needed value. As we did not want any limit here we had set it to infinity
.
2) Avoid websocket timeout -
We used websockets for the users to connect to ejabberd and looks like ejabberd treats the websocket connection as idle if there is no activity for 5 mins and terminates the connections. So, idle users were getting disconnected. To prevent this, we chose to enable mod_ping and made sure the connections do not get terminated.
Enabling mod_ping -
In ejabberd.yml
More about mod_ping - http://docs.ejabberd.im/admin/guide/configuration/#modping
3) Creating a global shared roster -
We wanted every user in the app to be able to see every other user. There are group chats but they are implemented through chat rooms. This means every user is in the contacts of every other user. So, we decided not to create roster list for each user (which is obviously not smart) and instead created a global shared roster like explained below.
-
Access ejabberd admin interface on browser - http://yourhost:5280/admin
-
On the left navigation panel, choose Virtual hosts > yourhost > Shared Roster Groups.
-
Create one with name ‘everyone’ members value as ‘@all’ and displayed groups as ‘everyone’. (Note - ‘everyone’ is just a sample name. Use your desired name.). It looks like the screenshot below -
Learn more about shared roster here - http://docs.ejabberd.im/admin/guide/configuration/#modsharedroster
References -
Ejabberd Documentation - http://docs.ejabberd.im/
Ejabberd Configuration - http://docs.ejabberd.im/admin/guide/configuration/


-
(inner) del(object, path, cleanupopt)
-
Delete a given property of an object, taking care of deleting the empty objects possible generated by the
deletion too.
Parameters:
| Name |
Type |
Attributes |
Description |
object |
Object
|
|
The concerned object. |
path |
String
|
|
The concerned path. |
cleanup |
Boolean
|
<optional>
|
Delete the empty objects generated by the deletion.
Default: true |
- Source:
-
(inner) get(object, path) → {*}
-
Get a property from an object, whatever its depth in the object.
Parameters:
| Name |
Type |
Description |
object |
Object
|
The concerned object. |
path |
String
|
The path of the targeted property (i.e "companies.main.name"). |
- Source:
Returns:
Your targeted property, or `undefined`.
-
Type
-
*
-
(inner) set(object, path, value, overrideopt)
-
Set a given value to an object at a given path, regardless the existence of intermediate properties normally
necessary for JavaScript.
Parameters:
| Name |
Type |
Attributes |
Description |
object |
Object
|
|
The concerned object. |
path |
String
|
|
The concerned path. |
value |
*
|
|
The value to set |
override |
Boolean
|
<optional>
|
Tell whether we should override existing value (false) or not (true)
Default: true |
- Source:


GRUMPIER OLD MEN A film review by Joan Ellis Copyright 1996 Nebbadoon Syndicate
"Grumpier Old Men" is a an embarrassing effort to extend the surprising success of the first installment. In a glaring insensitivity to the ingredients of their own victory, the producers have dropped the real star of their show: the frozen Minnesota winter. The ice and snow that controlled the residents and propelled the jokes have been replaced by a summer landscape that turns Minnesota into the most ordinary of suburbs. In a continuing two-man war story, John (Jack Lemmon) and Max (Walter Matthau) continue to nourish themselves on the humiliation they inflict on each other. The first movie focused on John's comic courtship of the merry widow Ariel (Ann-Margret); the second opens with confirmation that all is well with their unlikely marriage. While the envious Max videotapes the scene from next door, the adoring Ariel sculpts her naked husband as "The Thinker." Something has to be done about lonely Max. And so, with exactly the same likelihood of Ann-Margret's moving to Minnesota, Sophia Loren, as Maria Ragetti, drops into this dysfunctional town to turn the boys' favorite bait shop into an Italian restaurant. A situation as silly as this must either be wrapped in charm or buoyed by belly laughs. The first movie had a bit of both. Although the collective talents of this cast could sustain any major comedy, their combined efforts can't hoist this one beyond boredom. They are stranded in a bad script. Unengaged, we are reduced to examining face-lifts, capped teeth, and the general well-being of a group of aging stars. On this level, Sophia Loren is an astonishing sight--still glorious in every respect, trying with all her intelligence and flair to lift her leaden lines. In a charmless subplot to the war between friends, the odd couple's son and daughter (Daryl Hannah and Kevin Pollak) are to be married. Their gloomy romance, intended as a comic focus, casts a pall for miles.  Guilbert lightens things a little with her general nastiness. She is indeed a grumpy old woman. Jack Lemmon can still immobilize us with the sadness in his eyes; Matthau can still massage a line with his furrowed brow.  At the very least, they should have held onto that icebound landscape that produced so many laughs. Not one of the four principals is dotty enough to be relegated to the silliness that Hollywood equates with old age. It's painful to watch all this talent trying so hard to make something of nothing. For this formula, even when it was fresh, once was indeed enough.
Film Critic : JOAN ELLIS Word Count : 487 Film TITLE : GRUMPIER OLD MEN Studio : Warner Bros. Rating : PG-13 Running Time: 1h40m
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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