|
JavaTM 2 Platform Standard Ed. 5.0 |
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java.lang.Object javax.management.ObjectName
public class ObjectName
Represents the object name of an MBean, or a pattern that can match the names of several MBeans. Instances of this class are immutable.
An instance of this class can be used to represent:
An object name consists of two parts, the domain and the key properties.
The domain is a string of characters not including
the character colon (:
).
If the domain includes at least one occurrence of the wildcard
characters asterisk (*
) or question mark
(?
), then the object name is a pattern. The asterisk
matches any sequence of zero or more characters, while the question
mark matches any single character.
If the domain is empty, it will be replaced in certain contexts by the default domain of the MBean server in which the ObjectName is used.
The key properties are an unordered set of keys and associated values.
Each key is a nonempty string of characters which may
not contain any of the characters comma (,
), equals
(=
), colon, asterisk, or question mark. The same key
may not occur twice in a given ObjectName.
Each value associated with a key is a string of characters that is either unquoted or quoted.
An unquoted value is a possibly empty string of characters which may not contain any of the characters comma, equals, colon, quote, asterisk, or question mark.
A quoted value consists of a quote ("
),
followed by a possibly empty string of characters, followed by
another quote. Within the string of characters, the backslash
(\
) has a special meaning. It must be followed by
one of the following characters:
A quote, question mark, or star may not appear inside a quoted value except immediately after an odd number of consecutive backslashes.
The quotes surrounding a quoted value, and any backslashes within that value, are considered to be part of the value.
An ObjectName may be a property pattern. In this case it may have zero or more keys and associated values. It matches a nonpattern ObjectName whose domain matches and that contains the same keys and associated values, as well as possibly other keys and values.
An ObjectName is a pattern if its domain contains a wildcard or if the ObjectName is a property pattern.
If an ObjectName is not a pattern, it must contain at least one key with its associated value.
An ObjectName can be written as a String with the following elements in order:
:
).
A key property list written as a String is a comma-separated
list of elements. Each element is either an asterisk or a key
property. A key property consists of a key, an equals
(=
), and the associated value.
At most one element of a key property list may be an asterisk. If the key property list contains an asterisk element, the ObjectName is a property pattern.
Spaces have no special significance in a String representing an ObjectName. For example, the String:
domain: key1 = value1 , key2 = value2represents an ObjectName with two keys. The name of each key contains six characters, of which the first and last are spaces. The value associated with the key
" key1 "
also begins and ends with a space.
In addition to the restrictions on characters spelt out above,
no part of an ObjectName may contain a newline character
('\n'
), whether the domain, a key, or a value, whether
quoted or unquoted. The newline character can be represented in a
quoted value with the sequence \n
.
The rules on special characters and quoting apply regardless of which constructor is used to make an ObjectName.
To avoid collisions between MBeans supplied by different
vendors, a useful convention is to begin the domain name with the
reverse DNS name of the organization that specifies the MBeans,
followed by a period and a string whose interpretation is
determined by that organization. For example, MBeans specified by
Sun Microsystems Inc., DNS name sun.com
, would have
domains such as com.sun.MyDomain
. This is essentially
the same convention as for Java-language package names.
| Constructor Summary | |
|---|---|
ObjectName(String name)
Construct an object name from the given string. |
|
ObjectName(String domain,
Hashtable table)
Construct an object name with several key properties from a Hashtable. |
|
ObjectName(String domain,
String key,
String value)
Construct an object name with exactly one key property. |
| Method Summary | |
|---|---|
boolean |
apply(ObjectName name)
Test whether this ObjectName, which may be a pattern, matches another ObjectName. |
boolean |
equals(Object object)
Compares the current object name with another object name. |
String |
getCanonicalKeyPropertyListString()
Returns a string representation of the list of key properties, in which the key properties are sorted in lexical order. |
String |
getCanonicalName()
Returns the canonical form of the name; that is, a string representation where the properties are sorted in lexical order. |
String |
getDomain()
Returns the domain part. |
static ObjectName |
getInstance(ObjectName name)
Return an instance of ObjectName that can be used anywhere the given object can be used. |
static ObjectName |
getInstance(String name)
Return an instance of ObjectName that can be used anywhere an object obtained with new
ObjectName(name) can be used. |
static ObjectName |
getInstance(String domain,
Hashtable table)
Return an instance of ObjectName that can be used anywhere an object obtained with new ObjectName(domain, table) can be used. |
static ObjectName |
getInstance(String domain,
String key,
String value)
Return an instance of ObjectName that can be used anywhere an object obtained with new ObjectName(domain, key, value) can be used. |
String |
getKeyProperty(String property)
Obtains the value associated with a key in a key property. |
Hashtable |
getKeyPropertyList()
Returns the key properties as a Hashtable. |
String |
getKeyPropertyListString()
Returns a string representation of the list of key properties specified at creation time. |
int |
hashCode()
Returns a hash code for this object name. |
boolean |
isDomainPattern()
Checks whether the object name is a pattern on the domain part. |
boolean |
isPattern()
Checks whether the object name is a pattern. |
boolean |
isPropertyPattern()
Checks whether the object name is a pattern on the key properties. |
static String |
quote(String s)
Returns a quoted form of the given String, suitable for inclusion in an ObjectName. |
void |
setMBeanServer(MBeanServer mbs)
Sets the MBean server on which the query is to be performed. |
String |
toString()
Returns a string representation of the object name. |
static String |
unquote(String q)
Returns an unquoted form of the given String. |
| Methods inherited from class java.lang.Object |
|---|
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public ObjectName(String name) throws MalformedObjectNameException, NullPointerException
name
- A string representation of the object name.
MalformedObjectNameException
- The string passed as a
parameter does not have the right format.
NullPointerException
- The name
parameter
is null.public ObjectName(String domain, String key, String value) throws MalformedObjectNameException, NullPointerException
domain
- The domain part of the object name.key
- The attribute in the key property of the object name.value
- The value in the key property of the object name.
MalformedObjectNameException
- The
domain
, key
, or value
contains an illegal character, or value
does not
follow the rules for quoting.
NullPointerException
- One of the parameters is null.public ObjectName(String domain, Hashtable table) throws MalformedObjectNameException, NullPointerException
domain
- The domain part of the object name.table
- A hash table containing one or more key
properties. The key of each entry in the table is the key of a
key property in the object name. The associated value in the
table is the associated value in the object name.
MalformedObjectNameException
- The domain
contains an illegal character, or one of the keys or values in
table
contains an illegal character, or one of the
values in table
does not follow the rules for
quoting.
NullPointerException
- One of the parameters is null.| Method Detail |
|---|
public static ObjectName getInstance(String name) throws MalformedObjectNameException, NullPointerException
Return an instance of ObjectName that can be used anywhere
an object obtained with new
ObjectName(name)
can be used. The returned object may be of
a subclass of ObjectName. Calling this method twice with the
same parameters may return the same object or two equal but
not identical objects.
name
- A string representation of the object name.
MalformedObjectNameException
- The string passed as a
parameter does not have the right format.
NullPointerException
- The name
parameter
is null.public static ObjectName getInstance(String domain, String key, String value) throws MalformedObjectNameException, NullPointerException
Return an instance of ObjectName that can be used anywhere
an object obtained with new ObjectName(domain, key, value)
can be used. The
returned object may be of a subclass of ObjectName. Calling
this method twice with the same parameters may return the same
object or two equal but not identical objects.
domain
- The domain part of the object name.key
- The attribute in the key property of the object name.value
- The value in the key property of the object name.
MalformedObjectNameException
- The
domain
, key
, or value
contains an illegal character, or value
does not
follow the rules for quoting.
NullPointerException
- One of the parameters is null.public static ObjectName getInstance(String domain, Hashtable table) throws MalformedObjectNameException, NullPointerException
Return an instance of ObjectName that can be used anywhere
an object obtained with new ObjectName(domain, table)
can be used. The returned
object may be of a subclass of ObjectName. Calling this method
twice with the same parameters may return the same object or
two equal but not identical objects.
domain
- The domain part of the object name.table
- A hash table containing one or more key
properties. The key of each entry in the table is the key of a
key property in the object name. The associated value in the
table is the associated value in the object name.
MalformedObjectNameException
- The domain
contains an illegal character, or one of the keys or values in
table
contains an illegal character, or one of the
values in table
does not follow the rules for
quoting.
NullPointerException
- One of the parameters is null.public static ObjectName getInstance(ObjectName name) throws NullPointerException
Return an instance of ObjectName that can be used anywhere
the given object can be used. The returned object may be of a
subclass of ObjectName. If name
is of a subclass
of ObjectName, it is not guaranteed that the returned object
will be of the same class.
The returned value may or may not be identical to
name
. Calling this method twice with the same
parameters may return the same object or two equal but not
identical objects.
Since ObjectName is immutable, it is not usually useful to make a copy of an ObjectName. The principal use of this method is to guard against a malicious caller who might pass an instance of a subclass with surprising behavior to sensitive code. Such code can call this method to obtain an ObjectName that is known not to have surprising behavior.
name
- an instance of the ObjectName class or of a subclass
name
respects the
semantics of ObjectName, then the returned object is equal
(though not necessarily identical) to name
.
NullPointerException
- The name
is null.public boolean isPattern()
public boolean isDomainPattern()
public boolean isPropertyPattern()
public String getCanonicalName()
Returns the canonical form of the name; that is, a string representation where the properties are sorted in lexical order.
More precisely, the canonical form of the name is a String
consisting of the domain part, a colon
(:
), the canonical key property list, and
a pattern indication.
The canonical key property list is the same string
as described for getCanonicalKeyPropertyListString()
.
The pattern indication is:
,*
) for an ObjectName that is a property
pattern with at least one key.
public String getDomain()
public String getKeyProperty(String property) throws NullPointerException
property
- The property whose value is to be obtained.
NullPointerException
- If property
is null.public Hashtable getKeyPropertyList()
Returns the key properties as a Hashtable. The returned value is a Hashtable in which each key is a key in the ObjectName's key property list and each value is the associated value.
The returned value may be unmodifiable. If it is modifiable, changing it has no effect on this ObjectName.
public String getKeyPropertyListString()
Returns a string representation of the list of key
properties specified at creation time. If this ObjectName was
constructed with the constructor ObjectName(String)
,
the key properties in the returned String will be in the same
order as in the argument to the constructor.
public String getCanonicalKeyPropertyListString()
String.compareTo(String)
.
public String toString()
Returns a string representation of the object name. The format of this string is not specified, but users can expect that two ObjectNames return the same string if and only if they are equal.
toString
in class Object
public boolean equals(Object object)
getCanonicalName()
.
equals
in class Object
object
- The object name that the current object name is to be
compared with.
object
is an ObjectName whose
canonical form is equal to that of this ObjectName.Object.hashCode()
,
Hashtable
public int hashCode()
hashCode
in class Object
Object.equals(java.lang.Object)
,
Hashtable
public static String quote(String s) throws NullPointerException
Returns a quoted form of the given String, suitable for
inclusion in an ObjectName. The returned value can be used as
the value associated with a key in an ObjectName. The String
s
may contain any character. Appropriate quoting
ensures that the returned value is legal in an ObjectName.
The returned value consists of a quote ('"'), a sequence of
characters corresponding to the characters of s
,
and another quote. Characters in s
appear
unchanged within the returned value except:
s
- the String to be quoted.
NullPointerException
- if s
is null.public static String unquote(String q) throws IllegalArgumentException, NullPointerException
Returns an unquoted form of the given String. If
q
is a String returned by quote(s)
,
then unquote(q).equals(s)
. If there is no String
s
for which quote(s).equals(q)
, then
unquote(q) throws an IllegalArgumentException.
These rules imply that there is a one-to-one mapping between quoted and unquoted forms.
q
- the String to be unquoted.
IllegalArgumentException
- if q
could not
have been returned by the quote(java.lang.String)
method, for instance
if it does not begin and end with a quote (").
NullPointerException
- if q
is null.public boolean apply(ObjectName name) throws NullPointerException
Test whether this ObjectName, which may be a pattern,
matches another ObjectName. If name
is a pattern,
the result is false. If this ObjectName is a pattern, the
result is true if and only if name
matches the
pattern. If neither this ObjectName nor name
is
a pattern, the result is true if and only if the two
ObjectNames are equal as described for the equals(Object)
method.
apply
in interface QueryExp
name
- The name of the MBean to compare to.
name
matches this ObjectName.
NullPointerException
- if name
is null.public void setMBeanServer(MBeanServer mbs)
QueryExp
setMBeanServer
in interface QueryExp
mbs
- The MBean server on which the query is to be performed.
|
JavaTM 2 Platform Standard Ed. 5.0 |
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


Before Change
@lab_api
def sample(self):
// NOTE the purpose of multi-body is to parallelize and get more batch_sizes
batches = [body.memory.sample() for body in self.agent.nanflat_body_a]
// Package data into pytorch variables
for batch_b in batches:
util.to_torch_batch(batch_b, self.net.gpu)
// Concat state
combined_states = torch.cat(
[batch_b["states"] for batch_b in batches], dim=1)
combined_next_states = torch.cat(
[batch_b["next_states"] for batch_b in batches], dim=1)
After Change
Samples a batch from memory.
Note that multitask"s bodies are parallelized copies with similar envs, just to get more batch sizes
"""
batches = []
for body in self.agent.nanflat_body_a:
body_batch = body.memory.sample()
// one-hot actions to calc q_targets
if body.is_discrete:
body_batch["actions"] = util.to_one_hot(body_batch["actions"], body.action_space.high)
body_batch = util.to_torch_batch(body_batch, self.net.gpu)
batches.append(body_batch)
// Concat states at dim=1 for feedforward
batch = {
"states": torch.cat([body_batch["states"] for body_batch in batches], dim=1),
"next_states": torch.cat([body_batch["next_states"] for body_batch in batches], dim=1),
}


Action : Create a SQL Server database
This action creates a new database on a Microsoft SQL Server which your software will be previously connected with the action Connect to SQL Server.
Parameters
| Parameters | Descriptions |
|---|---|
| New database's name | Must be equal to the name of the database to be created. |
| Variable receiving the result (optional) | Must be equal to the variable (not array) receiving the result of creation. |
Mistake not to commit : For the parameter "New database's name", you can not use the resources of the project type and Picture type Other. Single resource of type text can be used.
Mistake not to commit : If you use variables in parameter "New database's name", make sure that the type of value of each of these variables is text (String), or a numeric value (Integer, Decimal, Double). Indeed, only text can be used in these settings.
Note : To check the type of a value, use the action Get the type of a variable, in General category.
Return value
The return value is determined by the success or otherwise of creating the database. It will be stored in the variable defined in the parameter "Variable receiving the result". This value is numeric (Integer).
| Result | Returned values |
|---|---|
| Success | 1 |
| Fail | -1 Note: An error message appears on the screen |
Code Visual Basic.Net generated by SoftwareZator
If the variable receiving the result is "Result", the generated code will be as follows :
Result = VelerSoftware_SQLServerPlugin.CreateNewDataBase_SQLServer("Database's name")
Runtime errors
Sometimes a computer program encounters a problem during execution. Often, an error message is displayed. The table below allows you to determine why the error you encounter appears and how to correct :
| Errors types | Descriptions | Resolve |
|---|---|---|
| System.ArgumentException or System.InvalidCastException |
This error occurs when the parameter value "New database's name" is not text. Often the problem is caused by a variable used in this setting and have a value other than text. | To correct this error, verify that the value involved in this parameter is of type Text (String) and make the necessary changes so that this value is text. For this, use the action Get the type of a variable, Convert the value of a variable |
Characteristics
| Types | Informations |
|---|---|
| Requiered level | Beginner |
| Category | SQL Server |
| Type of value returned | Numeric (Integer) |
| Work in functions | Yes |
| Works in the declaration area | No |
| This action may receive children actions | No |


| DOSE: |
3.5 g |
insufflated |
Cocaine |
(powder / crystals) |
| |
|
smoked |
Cannabis |
(plant material) |
[Erowid Note: 3.5 grams of cocaine is considered an extremely high dose, see Cocaine Dose Chart]
It was a typical Saturday night. Me and a good friend were doing our typical weekend ritual of splitting an 8 ball of cocaine over the course of the evening. At that point I was spending over a thousand dollars a week, and pretty much had a full-blown problem. However, aside from the nightmarish come downs, coke was still fairly consistantly still alot of fun. We were just listening to music in the truck, and consuming lines like there was no tomorrow. It wasn't long before we had polished off the whole 8. We decided to get another one, by the time we got into that one, I was becoming very hyperactive and excited, and speaking of filling the tank with gas, and driving all night to Mexico completely yacked out.
I decided to smoke some pot to calm down. BIG MISTAKE. I started rambling on to my friend uncontrollably, it was becoming apparant to me that I didn't even know what was coming out of my mouth.  My friend said he wanted to finish up that last remnants of the blow, and I had no problem with that.  I just sat there completely fixated on that idea that I had done perminant serious damage to my brain. I got out of the truck, walked into the house, and crept upstairs to his room, it was probably close to 5 in the morning, and my lucky star kept me from bumping into his stepdad on the way to work. I knocked on the door but got no answer, I quickly jumped to the conclusion that I not only fucked myself up forever, but everyone in this house knew it, and wanted me to go away. I went down stairs.
 I can't explain the things going through my head, but they were terrifying: I must have gone through a hundred different possibilities to what was actually happening to me. By the time I got around the corner from my house, I was so exhausted that I keeled over and hit my head on the curb. I got into another uncontrollable mental lock, and thought I was slipping into death. I was trying so hard to hold on. I kept fighting it. My will to survive had completely kicked in. I sprung up. I think I might have urinated myself a bit. I jogged over to my house.
Once in my bed, I felt slightly more relaxed, but was still trying very hard to focus on reality, and stay grounded. I found that I had to deliberately try not to slip into myself, and the harder I tryed the further away I slipped.  I'm pretty sure I shouted a couple things at the top of my lungs during the night, convincing myself it was the only way to hold on to reality. I know it makes no or little sense now, but it did at the time. Everything and nothing made sense.

Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Shaping Current and Future Students Learning!
Jen Rubino from the Huffington Post, discusses her own personal experience dealing with grades and learning. Realizing that many times she found herself being more consumed when grades come into question, rather than learning. Especially during her junior year of high school. When given projects she would just study the necessary content in order to receive an A grade. In following months she made a decision, to go more in depth when researching or studying generally for any tests,quizzes, or assignments. No matter the grade, she continued to be focused on learning the actual material. When focusing on learning she noticed she actually did better generally in most of her classes.
Chris Crouch from the Huffington Post, discusses that not only students rely on grades, but parents do too in order to determine their children's success in school. It’s automatically assumed that if the grade isn't high, then the child’s parents won’t be happy with the outcome. Parents and students sometimes both are more consumed about the raw grades rather than checking if the actual understanding is present pertaining to the material. To see a change, students must change the focus from grades to learning. They should make sure to understand the material thoroughly, and if not they should make an effort to come in and get the necessary help.
According to Emanuella Grinberg from CNN, many schools are discontinuing the trend of traditional report cards and opting for a more descriptive representation of each students individual work. On the other hand in Oregon, a law was passed to make it possible that letters and numbers can be used to express students academic progress. The grade wouldn't be determined by tardiness on school work or in class behavior. More times grades don't actually reflect students overall progress. With penalties for late work, the assignment can sometimes go as low as half credit. Which can have a large impact, on overall grades if the percentage of the assignments are large.
Many students are faced weekly with different quizzes and test for a variety of classes. Overloaded with homework, on top of that unfinished classwork. According to Katie Pisa from CNN, life can change completely from what we students once knew it as. Project based learning is the new wave in many states. Instead of traditional class learning, we can see an overall progression academically with students. It wouldn't be about grades, the overall focus would be on creativity and the project not being cliche. Class would be less stressful for many students, creating a change in the overall way students view school.


Summer Program
Learn To Create A Dyanmic And Functional Web Application
About The Course
The camp will provide its students with all the skills necessary to create a dynamic, interactive and functional web application, as well as provide the students with an outlined plan regarding how they will be able to continue learning computer science, even after the final camp session. During the camp the students will become proficient in HTML and CSS, and will be able to use Twitter Bootstrap to enhance the quality of their web application. If time permits, we may be able to introduce the girls to a more complex back-end programming language, such as Ruby, as well. We aim to have a projected number of twenty campers per session, as well as five high school volunteers, allowing for a 1:4 teacher to student ratiom whose responsibility will be to teach and supervise the campers, as well as to answer any questions the students may have.
Session One
As the ITechGirls Summer Program location is yet to be confirmed, the specific dates which the program will be held cannot yet be announced. The program will take place one week in the summer of 2016, lasting from 9:00 AM to 3:00 PM, Monday to Friday. If you are interested in attending the program, please click the sign up link below to be notified when more information arrives.


{% extends "base.html" %} {% block head %} {% let section = "players" %} {% endblock %} {% block body %}
Import from previous season completed
Number of players imported: {{ imported }}
Number of players skipped: {{ skipped }}
Continue


HOW TO PLAY: Use your arrow keys or swipe to move the tiles. When two tiles with the same number touch, they merge into one!
NOTICE: This project is greatly inspired by this project, and I implement the backend fully by myself. However, I am not so good at the frontend, so I use this 2048 game for reference. Frankly speaking, I nearly copied its whole css file. 😅 Thank you, Gabriele Cirulli.
Created by Raymond Kevin.


Before Change
if not len(video_sets):
// Silently sweep the files that were already written.
shutil.rmtree(project_path, ignore_errors=True)
print("WARNING: No valid videos were found. The project was not created ...")
print("Verify the video files and re-create the project.")
return "nothingcreated"
// Set values to config file:
After Change
except:
rel_video_path = os.readlink(str(video))
try:
vid = VideoReader(rel_video_path)
video_sets[rel_video_path] = {
"crop": ", ".join(map(str, vid.get_bbox()))
}
except IOError:
warnings.warn("Cannot open the video file! Skipping to the next one...")
os.remove(video) // Removing the video or link from the project
if not len(video_sets):
// Silently sweep the files that were already written.
shutil.rmtree(project_path, ignore_errors=True)
warnings.warn("No valid videos were found. The project was not created... "


VGo Wallet
Account Id :
Login
Create new VGO Account
Repeat secret
Account Id :
Please have a backup of your secret.All of your VGO Coins will be lost if your secret is forget.
OK
Cancel


I am a fifth year PhD student advised by Peter Bartlett and Michael DeWeese. I am associated with the Berkeley Artificial Intelligence Research group (BAIR). My research interests lie at the intersection of Theoretical Statistics and Machine Learning. Some areas I am interested in and have worked on in the past include, Monte Carlo methods, optimization guarantees for structured non-convex problems and Online learning with partial information (bandit feedback).
I graduated from Indian Institute of Technology Bombay with a dual degree B.Tech+M.Tech in Engineering Physics.
PhD in Physics, 2021 (expected)
University of California Berkeley
BTech and MTech in Engineering Physics, 2015
Indian Institute of Technology Bombay


dtnping - send a bundle to a valid destination eid or "localhost", in which case we just use the local daemon SYNOPSIS
dtnping [-c count] [-i interval] [-e expiration] eid


5 shell casings found in Madison area where shots fired reported, police say
by Tabatha WethalMADISON, Wis. - Officer recovered multiple shell casings in a Madison area where people reported hearing gunfire early Monday, according to police.
The Madison Police Department said officers responded to the area of Mound Street at South Charter Street at 12:38 a.m. Police recovered five shell casings.
Officers didn't find any damage to area buildings, and there were no reports of injuries, the report said.
Callers told officials they heard a car driving quickly from the area following the shots-fired reports.


Summary results of studies reviewed including type of screening, point of entry (airports, ports, ground crossings), infectious disease targeted, and country of measure implementation.
* Screening measures for Dengue fever and Chikungunya infection were implemented as part of routine, long-term public health measures. All other screening measures were implemented on an ad hoc basis in response to public health emergency events.


|
cds
1.2.0
|
#include <cds/lock/spinlock.h>
Public Member Functions | |
| AutoUnlock (T &src) | |
Constructor The src object must be locked. | |
| ~AutoUnlock () | |
| Unlock m_lock object. | |
| T * | operator-> () |
| Return pointer to lock object m_lock. |
Private Attributes | |
| T & | m_lock |
| The lock object. |
Auto unlocker.
T
is lock type with one method: unlock. The destructor calls unlock method. Unlike Auto class, the constructor of the class does not call lock function of its argument.
Auto unlocker is not copy-constructible.
The class is intended for exception-safe usage of lock primitive, for example:
|
inline |
Constructor The src
object must be locked.
The constructor does not call src.lock()
.


Anna Sorotiuk
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web designer and developer
My Name Is Anna.
I Design Beautiful Websites.
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Traditional approaches to string matching such as the Jaro-Winkler or Levenshtein distance measure are too slow for large datasets. Using TF-IDF with N-Grams as terms to find similar strings transforms the problem into a matrix multiplication problem, which is computationally much cheaper. Using this approach made it possible to search for near duplicates in a set of 663,000 company names in 42 minutes using only a dual-core laptop.
Update: run all code in the below post with one line using string_grouper:
match_strings(companies['Company Name'])
Name Matching
A problem that I have witnessed working with databases, and I think many other people with me, is name matching. Databases often have multiple entries that relate to the same entity, for example a person or company, where one entry has a slightly different spelling then the other. This is a problem, and you want to de-duplicate these. A similar problem occurs when you want to merge or join databases using the names as identifier.
The following table gives an example:
| Company Name |
|---|
| Burger King |
| Mc Donalds |
| KFC |
| Mac Donald’s |
For the human reader it is obvious that both Mc Donalds and Mac Donald’s are the same company. However for a computer these are completely different making spotting these nearly identical strings difficult.
One way to solve this would be using a string similarity measures like Jaro-Winkler or the Levenshtein distance measure. The obvious problem here is that the amount of calculations necessary grow quadratic. Every entry has to be compared with every other entry in the dataset, in our case this means calculating one of these measures 663.000^2 times. In this post I will explain how this can be done faster using TF-IDF, N-Grams, and sparse matrix multiplication.
The Dataset
I just grabbed a random dataset with lots of company names from Kaggle. It contains all company names in the SEC EDGAR database. I don’t know anything about the data or the amount of duplicates in this dataset (it should be 0), but most likely there will be some very similar names.
import pandas as pd
pd.set_option('display.max_colwidth', -1)
names = pd.read_csv('data/sec_edgar_company_info.csv')
print('The shape: %d x %d' % names.shape)
names.head()
The shape: 663000 x 3
| Line Number | Company Name | Company CIK Key | |
|---|---|---|---|
| 0 | 1 | !J INC | 1438823 |
| 1 | 2 | #1 A LIFESAFER HOLDINGS, INC. | 1509607 |
| 2 | 3 | #1 ARIZONA DISCOUNT PROPERTIES LLC | 1457512 |
| 3 | 4 | #1 PAINTBALL CORP | 1433777 |
| 4 | 5 | $ LLC | 1427189 |
TF-IDF
TF-IDF is a method to generate features from text by multiplying the frequency of a term (usually a word) in a document (the Term Frequency, or TF) by the importance (the Inverse Document Frequency or IDF) of the same term in an entire corpus. This last term weights less important words (e.g. the, it, and etc) down, and words that don’t occur frequently up. IDF is calculated as:
IDF(t) = log_e(Total number of documents / Number of documents with term t in it).
An example (from www.tfidf.com/):
Consider a document containing 100 words in which the word cat appears 3 times. The term frequency (i.e., tf) for cat is then (3 / 100) = 0.03. Now, assume we have 10 million documents and the word cat appears in one thousand of these. Then, the inverse document frequency (i.e., idf) is calculated as log(10,000,000 / 1,000) = 4. Thus, the Tf-idf weight is the product of these quantities: 0.03 * 4 = 0.12.
TF-IDF is very useful in text classification and text clustering. It is used to transform documents into numeric vectors, that can easily be compared.
N-Grams
While the terms in TF-IDF are usually words, this is not a necessity. In our case using words as terms wouldn’t help us much, as most company names only contain one or two words. This is why we will use n-grams: sequences of N contiguous items, in this case characters. The following function cleans a string and generates all n-grams in this string:
import re
def ngrams(string, n=3):
string = re.sub(r'[,-./]|\sBD',r'', string)
ngrams = zip(*[string[i:] for i in range(n)])
return [''.join(ngram) for ngram in ngrams]
print('All 3-grams in "McDonalds":')
ngrams('McDonalds')
All 3-grams in "McDonalds":
['McD', 'cDo', 'Don', 'ona', 'nal', 'ald', 'lds']
As you can see, the code above does some cleaning as well. Next to removing some punctuation (dots, comma’s etc) it removes the string “ BD”. This is a nice example of one of the pitfalls of this approach: some terms that appear very infrequent will result in a high bias towards this term. In this case there where some company names ending with “ BD” that where being identified as similar, even though the rest of the string was not similar.
The code to generate the matrix of TF-IDF values for each is shown below.
from sklearn.feature_extraction.text import TfidfVectorizer
company_names = names['Company Name']
vectorizer = TfidfVectorizer(min_df=1, analyzer=ngrams)
tf_idf_matrix = vectorizer.fit_transform(company_names)
The resulting matrix is very sparse as most terms in the corpus will not appear in most company names. Scikit-learn deals with this nicely by returning a sparse CSR matrix.
You can see the first row (“!J INC”) contains three terms for the columns 11, 16196, and 15541.
print(tf_idf_matrix[0])
# Check if this makes sense:
ngrams('!J INC')
(0, 11) 0.844099068282
(0, 16196) 0.51177784466
(0, 15541) 0.159938115034
['!JI', 'JIN', 'INC']
The last term (‘INC’) has a relatively low value, which makes sense as this term will appear often in the corpus, thus receiving a lower IDF weight.
Cosine Similarity
To calculate the similarity between two vectors of TF-IDF values the Cosine Similarity is usually used. The cosine similarity can be seen as a normalized dot product. For a good explanation see: this site. We can theoretically calculate the cosine similarity of all items in our dataset with all other items in scikit-learn by using the cosine_similarity function, however the Data Scientists at ING found out this has some disadvantages:
- The sklearn version does a lot of type checking and error handling.
- The sklearn version calculates and stores all similarities in one go, while we are only interested in the most similar ones. Therefore it uses a lot more memory than necessary.
To optimize for these disadvantages they created their own library which stores only the top N highest matches in each row, and only the similarities above an (optional) threshold.
import numpy as np
from scipy.sparse import csr_matrix
import sparse_dot_topn.sparse_dot_topn as ct
def awesome_cossim_top(A, B, ntop, lower_bound=0):
# force A and B as a CSR matrix.
# If they have already been CSR, there is no overhead
A = A.tocsr()
B = B.tocsr()
M, _ = A.shape
_, N = B.shape
idx_dtype = np.int32
nnz_max = M*ntop
indptr = np.zeros(M+1, dtype=idx_dtype)
indices = np.zeros(nnz_max, dtype=idx_dtype)
data = np.zeros(nnz_max, dtype=A.dtype)
ct.sparse_dot_topn(
M, N, np.asarray(A.indptr, dtype=idx_dtype),
np.asarray(A.indices, dtype=idx_dtype),
A.data,
np.asarray(B.indptr, dtype=idx_dtype),
np.asarray(B.indices, dtype=idx_dtype),
B.data,
ntop,
lower_bound,
indptr, indices, data)
return csr_matrix((data,indices,indptr),shape=(M,N))
The following code runs the optimized cosine similarity function. It only stores the top 10 most similar items, and only items with a similarity above 0.8:
import time
t1 = time.time()
matches = awesome_cossim_top(tf_idf_matrix, tf_idf_matrix.transpose(), 10, 0.8)
t = time.time()-t1
print("SELFTIMED:", t)
SELFTIMED: 2718.7523670196533
The following code unpacks the resulting sparse matrix. As it is a bit slow, an option to look at only the first n values is added.
def get_matches_df(sparse_matrix, name_vector, top=100):
non_zeros = sparse_matrix.nonzero()
sparserows = non_zeros[0]
sparsecols = non_zeros[1]
if top:
nr_matches = top
else:
nr_matches = sparsecols.size
left_side = np.empty([nr_matches], dtype=object)
right_side = np.empty([nr_matches], dtype=object)
similairity = np.zeros(nr_matches)
for index in range(0, nr_matches):
left_side[index] = name_vector[sparserows[index]]
right_side[index] = name_vector[sparsecols[index]]
similairity[index] = sparse_matrix.data[index]
return pd.DataFrame({'left_side': left_side,
'right_side': right_side,
'similairity': similairity})
Lets look at our matches:
matches_df = get_matches_df(matches, company_names, top=100000)
matches_df = matches_df[matches_df['similairity'] < 0.99999] # Remove all exact matches
matches_df.sample(20)
| left_side | right_side | similairity | |
|---|---|---|---|
| 41024 | ADVISORY U S EQUITY MARKET NEUTRAL OVERSEAS FUND LTD | ADVISORY US EQUITY MARKET NEUTRAL FUND LP | 0.818439 |
| 48061 | AIM VARIABLE INSURANCE FUNDS | AIM VARIABLE INSURANCE FUNDS (INVESCO VARIABLE INSURANCE FUNDS) | 0.856922 |
| 14978 | ACP ACQUISITION CORP | CP ACQUISITION CORP | 0.913479 |
| 54837 | ALLFIRST TRUST CO NA | ALLFIRST TRUST CO NA /TA/ | 0.938206 |
| 89788 | ARMSTRONG MICHAEL L | ARMSTRONG MICHAEL | 0.981860 |
| 54124 | ALLEN MICHAEL D | ALLEN MICHAEL J | 0.928606 |
| 66765 | AMERICAN SCRAP PROCESSING INC | SCRAP PROCESSING INC | 0.858714 |
| 44886 | AGL LIFE ASSURANCE CO SEPARATE ACCOUNT VA 27 | AGL LIFE ASSURANCE CO SEPARATE ACCOUNT VA 24 | 0.880202 |
| 49119 | AJW PARTNERS II LLC | AJW PARTNERS LLC | 0.876761 |
| 16712 | ADAMS MICHAEL C. | ADAMS MICHAEL A | 0.891636 |
| 96207 | ASTRONOVA, INC. | PETRONOVA, INC. | 0.841667 |
| 26079 | ADVISORS DISCIPLINED TRUST 1329 | ADVISORS DISCIPLINED TRUST 1327 | 0.862806 |
| 16200 | ADAMANT TECHNOLOGIES | NT TECHNOLOGIES, INC. | 0.814618 |
| 77473 | ANGELLIST-SORY-FUND, A SERIES OF ANGELLIST-SDA-FUNDS, LLC | ANGELLIST-NABS-FUND, A SERIES OF ANGELLIST-SDA-FUNDS, LLC | 0.828394 |
| 70624 | AN STD ACQUISITION CORP | OT ACQUISITION CORP | 0.855598 |
| 16669 | ADAMS MARK B | ADAMS MARY C | 0.812897 |
| 48371 | AIR SEMICONDUCTOR INC | LION SEMICONDUCTOR INC. | 0.814091 |
| 53755 | ALLEN DANIEL M. | ALLEN DANIEL J | 0.829631 |
| 16005 | ADA EMERGING MARKETS FUND, LP | ORANDA EMERGING MARKETS FUND LP | 0.839016 |
| 97135 | ATHENE ASSET MANAGEMENT LLC | CRANE ASSET MANAGEMENT LLC | 0.807580 |
The matches look pretty similar! The cossine similarity gives a good indication of the similarity between the two company names. ATHENE ASSET MANAGEMENT LLC and CRANE ASSET MANAGEMENT LLC are probably not the same company, and the similarity measure of 0.81 reflects this. When we look at the company names with the highest similarity, we see that these are pretty long strings that differ by only 1 character:
matches_df.sort_values(['similairity'], ascending=False).head(10)
| left_side | right_side | similairity | |
|---|---|---|---|
| 77993 | ANGLE LIGHT CAPITAL, LP - ANGLE LIGHT CAPITAL - QUASAR SERIES I | ANGLE LIGHT CAPITAL, LP - ANGLE LIGHT CAPITAL - QUASAR SERIES II | 0.994860 |
| 77996 | ANGLE LIGHT CAPITAL, LP - ANGLE LIGHT CAPITAL - QUASAR SERIES II | ANGLE LIGHT CAPITAL, LP - ANGLE LIGHT CAPITAL - QUASAR SERIES I | 0.994860 |
| 81120 | APOLLO OVERSEAS PARTNERS (DELAWARE 892) VIII, L.P. | APOLLO OVERSEAS PARTNERS (DELAWARE 892) VII LP | 0.993736 |
| 81116 | APOLLO OVERSEAS PARTNERS (DELAWARE 892) VII LP | APOLLO OVERSEAS PARTNERS (DELAWARE 892) VIII, L.P. | 0.993736 |
| 66974 | AMERICAN SKANDIA LIFE ASSURANCE CORP VARIABLE ACCOUNT E | AMERICAN SKANDIA LIFE ASSURANCE CORP VARIABLE ACCOUNT B | 0.993527 |
| 66968 | AMERICAN SKANDIA LIFE ASSURANCE CORP VARIABLE ACCOUNT B | AMERICAN SKANDIA LIFE ASSURANCE CORP VARIABLE ACCOUNT E | 0.993527 |
| 80929 | APOLLO EUROPEAN PRINCIPAL FINANCE FUND III (EURO B), L.P. | APOLLO EUROPEAN PRINCIPAL FINANCE FUND II (EURO B), L.P. | 0.993375 |
| 80918 | APOLLO EUROPEAN PRINCIPAL FINANCE FUND II (EURO B), L.P. | APOLLO EUROPEAN PRINCIPAL FINANCE FUND III (EURO B), L.P. | 0.993375 |
| 80921 | APOLLO EUROPEAN PRINCIPAL FINANCE FUND III (DOLLAR A), L.P. | APOLLO EUROPEAN PRINCIPAL FINANCE FUND II (DOLLAR A), L.P. | 0.993116 |
| 80907 | APOLLO EUROPEAN PRINCIPAL FINANCE FUND II (DOLLAR A), L.P. | APOLLO EUROPEAN PRINCIPAL FINANCE FUND III (DOLLAR A), L.P. | 0.993116 |
Conclusion
As we saw by visual inspection the matches created with this method are quite good, as the strings are very similar. The biggest advantage however, is the speed. The method described above can be scaled to much larger datasets by using a distributed computing environment such as Apache Spark. This could be done by broadcasting one of the TF-IDF matrices to all workers, and parallelizing the second (in our case a copy of the TF-IDF matrix) into multiple sub-matrices. Multiplication can then be done (using Numpy or the sparse_dot_topn library) by each worker on part of the second matrix and the entire first matrix. An example of this is described here.


Queen Attack
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Enter the position where you'd like to move
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Madhuri Dixit Showcases Her Musical Skill by Playing Guitar- Watch Video
Madhuri Dixit knows how to impress her fans and followers with her extraordinary musical skills. Watch video.
Madhuri Dixit, known for her iconic dance moves, is now impressing her fans and followers with her extraordinary musical skills. The actor was seen playing the guitar and singing with her husband Sriram Madhav Nene and musician Zac Dsouza in a small clip she shared taking to her official Instagram handle on Saturday. “Family jam session! It was fun trying my hand at playing the guitar with @drneneofficial ‘cuz “All of me, loves all of you…” #WeekendJam #AllOfMe @zacdsouzaa,” she wrote alongside the post.
Clad in a navy-blue kurta, Madhuri is crooning Hollywood singer John Legend’s famous track ‘All of Me’.
Watch the video here:
The 52-year-old star who seems like spending her weekend in the best way possible recently wished choreographer Saroj Khan on her birthday by sharing a picture alongside a heartfelt note.
On the professional front, the actor was last seen in multi starrer-‘Kalank’ alongside Varun Dhawan, Alia Bhatt, Aditya Roy Kapoor, Sonakshi Sinha, Sanjay Dutt, and Kunal Khemu.
Madhuri along with husband Shriram has turned producer for a Marathi film titled ‘Panchak.’ The film which stars Adinath Kothare will be directed by Jayant Jathar.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on Entertainment Latest News on India.com.
Story Timeline
- 23 Nov 2019 Madhuri Dixit Showcases Her Musical Skill by Playing Guitar- Watch Video
- 11 Nov 2019 Madhuri Dixit Dances on 'Ek Do Teen' Song to Celebrate 31 Years of Tezaab
- 24 Oct 2019 Madhuri Dixit Nene Launches YouTube Channel, Shares Her IIFA Performance BTS Video
- 20 Oct 2019 IIFA 2019 Highlights: Salman Khan Sings For Katrina Kaif, Vicky Kaushal's Emotional Speech For Father And More
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What are Ant and Dec's net worths as duo host I'm A Celebrity's 19th season?
Dynamic TV presenting duo Ant and Dec are back on our screens again as I’m A Celebrity 2019 continues.
The pair started hosting the show together during the very first season back in in 2002.
Ant and Dec have been mainstays on British telly for decades, featuring on Byker Grove and Top of the Pops back in the 90s and presenting the likes of Britain’s Got Talent, Pop Idol, and Ant & Dec’s Saturday Night Takeaway.
With that illustrious pop culture career in mind, here’s a quick look at what Ant and Dec are worth after all that time in the spotlight.
Ant and Dec’s net worths
Ant and Dec have made a pretty penny with The Sun reporting earlier this year that they are each worth approximately £62 million.
The two first started working together after they met on the set of CBBC drama Byker Grove, in which they both starred.
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After their time on the show, they branched out into music and performed first as duo PJ & Duncan – their character’s names from Byker Grove – then as Ant & Dec for their third and final studio album.
In 1994, while they were still performing as PJ & Duncan, they presented their first series, which was a children’s show called Gimme 5, and the rest, as they say, is history.
Ant and Dec have hosted I’m A Celebrity together every season except one, with Ant taking time away from TV last year.
In 2018, Holly Willoughby joined Dec in the jungle, as Ant took time away from the spotlight the deal with personal issues and spend time in rehab after he faced drink-driving charges that spring.
At the time, he released a statement saying: ‘My recovery is going very well and for that to continue having spoken to Dec and ITV, I have made the decision to take the rest of the year off.
‘I’d like to thank both Dec and ITV for their continued support and I look forward to getting back to work in the new year.’
I’m A Celebrity continues tonight at 9:10pm on ITV.
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use Moo;
is equivalent to
use strict; # strict vars, refs, subs
use warnings; # in Moo v2+
no indirect; # can't do `my $alien = new Alien;`
no multidimensional; # can't do `$hash{1,2}`
no bareword::filehandles; # can't do `open FH, $filename`
use base 'Moo::Object'; # provides new(), etc
also use Moo
imports some methods:
extends(), with(), has(), before(), around(), and after()
It inflates your Moo class to a Moose class
my $alien = Alien->new(@args)
new()
calls Alien->BUILDARGS(@args)
new()
instantiates object, creating $self
new()
calls BUILD($self)
new()
returns $self
is called before instantiation
package Alien;
use Moo;
sub BUILDARGS {
my ($class, @args) = @_;
# -- modify @args here --
return { @args };
}
In Moose you need to call SUPER at the end
is called after instantiation
package Alien;
use Moo;
sub BUILD {
my ($self, $args) = @_;
# -- additional validation or logging here --
}
The return value is ignored
new()
to just create an object.is called when the object is destroyed
package Alien;
use Moo;
sub DEMOLISH {
my ($self, $in_global_destruction) = @_;
$self->dbh->disconnect;
}
my $alien = Alien->new(@args)
$alien->DESTROY()
undef $alien
$alien->DESTROY()
$alien->DESTROY()
calls $alien->DEMOLISH()
at every level of inheritance
package Alien;
use Moo;
has eyes => (is => 'rw');
has nostrils => (is => 'ro');
my $alien = Alien->new( nostrils => 20 );
$alien->eyes(10); # succeeds
$alien->nostrils(10); # dies
ro
attributesrw
when you need that
package Alien;
use Moo;
has eyes => (is => 'ro', default => sub { 5 });
has nostrils => (is => 'ro', builder => '_build_nostrils');
# Perlism: methods that start with _ are private
sub _build_nostrils { 5 }
has tentacles => (is => 'lazy');
is equivalent to
has tentacles => (is => 'ro', lazy => 1, builder => '_build_tentacles');
Use MooseX::AttributeShortcuts to get support for is => 'lazy'
in Moose
is unpredictable
package Alien;
use Moo;
use Tentacle;
has tentacle_count => (is => 'ro', default => sub { 5 });
has tentacles => (is => 'ro', builder => '_build_tentacles');
sub _build_tentacles {
my $self = shift;
my @tentacles;
push @tentacles, Tentacle->new() for (1..$self->tentacle_count);
return \@tentacles;
}
package Alien;
use Moo;
use Tentacle;
has tentacles => (is => 'lazy');
has tentacle_count => (is => 'ro', default => sub { 5 });
sub _build_tentacles {
my $self = shift;
my @tentacles;
push @tentacles, Tentacle->new() for (1..$self->tentacle_count);
return \@tentacles;
}
use Types::URI -all;
has uri => (is => 'ro', isa => Uri);
use Types::Standard -all;
has is_from_mars => (is => 'ro', isa => Bool);
has tentacles => (is => 'ro', isa => ArrayRef[InstanceOf["Tentacle"]]);
package MyCompany::Types;
use Type::Library -base;
use Type::Utils -all;
BEGIN { extends "Types::Standard" };
declare "PurpleTentacles",
as ArrayRef[InstanceOf["Tentacles"]],
where {
my $tentacles = $_;
for my $tentacle (@$tentacles) {
return 0 if $tentacle->color ne "purple";
}
return 1;
};
use MyCompany::Types -all;
has tentacles => (is => 'ro', isa => PurpleTentacles);
Unlike Moose, coercions are separate from type checking
No solution that worked with both Moose and Moo until recently
package Client;
use Moo;
use URI;
has uri => (is => 'ro', coerce => \&string_to_uri );
sub string_to_uri {
my $value = shift;
return $value if ref $value eq 'URI'
return URI->new($value);
}
my $client = Client->new( uri => 'http://example.com' );
$client->uri->host; # returns example.com
Type::Tiny coercions come packaged with types (like in Moose)
package Client;
use Moo;
use Types::URI -all;
has uri => (is => 'ro', isa => URI, coerce => 1);
my $client = Client->new( uri => 'http://example.com' );
$client->uri->host; # returns example.com
package MyCompany::Types;
use Type::Library -base;
use Type::Utils -all;
BEGIN { extends "Types::Standard" };
declare "Greeting",
as "Str",
where { $_ =~ /Take me to your leader.$/ };
coerce "Greeting",
from "Str",
via { $_ .= ' Take me to your leader.' };
Too many for me to cover here. See also:
package ConfigFile;
use Moo;
use Path::Class;
has _file => (
is => 'ro',
handles => [qw/spew slurp/],
default => sub { Path::Class::file('.configuration') },
);
my $config_file = ConfigFile->new();
$config_file->slurp(); # read in file contents
package ConfigFile;
use Moo;
use Path::Class;
has _file => (
is => 'ro',
handles => { write => 'spew', read => 'slurp'},
default => sub { Path::Class::file('.configuration') },
);
my $config_file = ConfigFile->new();
$config_file->read(); # slurp in file contents
A code reference run after an attribute is set
has cowboy => (
is => 'ro',
trigger => sub { warn "cowboy attr set"; }
);
package Brontosaurus;
use Moo;
extends 'Dinosaur';
before eat => sub {
my ($self, $food) = @_;
die "bad params" if $food eq 'meat';
};
Receives same params as the original method
Return value is ignored
Good for adding extra validation
package Brontosaurus;
use Moo;
extends 'Dinosaur';
after eat => sub {
my ($self, $food) = @_;
$self->log->warning("Brontosaurus does not like to eat $food")
if $food eq 'meat';
};
Receives same params as the original method
Return value is ignored
Good for logging/debugging
package Brontosaurus;
extends 'Dinosaur';
around eat => sub {
my ($orig, $self, $food) = @_;
uc $orig->($self, $food);
};
Called instead of the original method
package Searchable;
use Moo::Role;
# state
has 'number_of_results' => (is => 'ro', default => sub { 5 });
# behavior
sub search { ... }
package Thing;
use Moo;
with qw/Searchable/;
my $thing = Thing->new();
$thing->search();
package Searchable;
use Moo::Role;
requires 'search_engine';
sub search {
my ($self, $query) = @_;
my $json = $self->search_engine->search($query);
return JSON->new->utf8->decode($json);
}
package Thing;
use Moo;
with qw/Searchable/;
sub search_engine {
return Bing->new();
}
print "hi" if Thing->does('Searchable');


Name: Allie Robinson
Superpowers: Web developer, artist
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Presentations:
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To contribute to the enrichment of vegetation and recovery of degraded areas through the planting of native forest species, generating income and contributing to the environmental education process.
- To implement 03 hectares per year of agroforestry systems (SAFs), aiming at the production of oil, focusing on cupuaçu, andiroba and murumuru;
- To train family farmers associated with COOMAC for organic agroecological production in agroforestry systems;
- To promote the development of an alternative of income generation for agroextractivists of the community of Bragança, PA;
- To empower beneficiaries in agroecological production techniques;
- To advise administrative-financially with focus on the management of the cooperative and the production;
- To raise awareness through workshops on environmental issues;
- Project start-up meeting with the cooperative for alignment between the parties and participatory planning;
- Field diagnosis to produce a baseline;
- Development of key indicators (KPIs) for performance and performance evaluation;
- Implantation of the Agroforestry System through the planting of seedlings of native species, including species of economic interest;
- Data collection to be used in publications, theses, articles, best practice guides, public reports, marketing actions and others;
- Project supervision and management;
- Administrative and financial advisory and training for cooperative and production management;
- Technical training for agroextractive good practices;
Environmental education workshops for children and youth in the community
- Results of systematized participatory planning;
- Elaboration of a Technical-Scientific Report on Socioeconomic Description of the Community;
- Definition and monitoring of KPIs;
- Training for the management of the cooperative;
- 04 Technical training workshops for good extractive practices and deployment of SAFs;
- Construction of 03 nurseries of seedlings;
- Production of 1200 seedlings of native species, including species of economic interest;
- Implantation of 03 hectares per year of Agroforestry Systems;
- 04 Environmental Education Workshops;
- Annual publication of project monitoring and development report;
- Publication of a Guide to productive good practices from the project experience;
- Increase of 80% in family income.
Click here to download PDF file.
US$ 60,700.00


wheel poem:
October 14th 2009
The high roads touch the ceiling
you know their great minds never reach them
you know they weren't asking for themselves
but there they were asking
you’r’a gonna have to provide some reasons why
you are asking you were there
were you not?
I did note some of them were crazy
some of them were viciously sounding
[out of their minds
how did you know that
they were out there?]
outnumbered
every time
who can accept loss
you are what you fear
we are our worst enemy
that fits like the glove we wear
fear is not beneath the skin
but on top of it


This puzzle consists of 9 rooms arranged around a central “hub”:
These rooms are totally black, and you can only see your own name (and those of your teammates) as you walk around them. To help with navigation, you can also hear footsteps as you move in each room and a “bump” sound effect if you walk into a wall.
Each room turns out to be its own sound-based minipuzzle, extracting to a single letter.
This room contains a point source of sound that moves around in a fixed path at a constant speed, and is louder the closer you are to it. Additionally, if you are using headphones, the sound is louder in the left ear if it’s to the left of you, and vice versa, which helps pinpoint the location. We can determine that the path looks like the below image, where the sound starts at point 1 and then moves to points 2, 3, 4, 5, 4, 3, 2, and back to 1 and repeats.
This traces out a capital A.
In this room, walking over different regions causes different sound clips to play.
In the reference screenshot above:
The statements “Diver down”, “Dangerous cargo”, and “Affirmative” are represented by the maritime signal flags (hence the boat sounds) of A, B, and C. The positioning of the three square regions at the top suggest that they correspond to these flags. Indeed, we can assign red, white, or blue to the three frequencies of noise, so that these three regions make the flags for A, B, and C. We can then decode the region at the bottom as the flag representing the letter F.
The noises that play are actually red (brown) noise, white noise, and blue noise — realizing this is helpful but certainly not needed to solve the puzzle.
This room has 6 sound sources that get louder as you move closer to them, located at the squares in the below screenshot. Like room 1, if you are positioned to the left or the right of a sound, then it will appear louder in your right ear or left ear, respectively.
Each of the sounds uses a different instrument to help tell them apart, and plays a major scale (from C4 to C5) with some notes replaced with silence. We can make a table of which notes are played by each of the 6 sounds:
| Location | C4 | D4 | E4 | F4 | G4 | A4 | B4 | C5 |
|---|---|---|---|---|---|---|---|---|
| Top-left | X | X | X | X | X | X | ||
| Top-right | X | X | X | X | X | |||
| Left | X | X | X | X | X | X | ||
| Right | X | X | X | |||||
| Bottom-left | X | X | X | X | X | X | X | |
| Bottom-right | X | X | X | X |
The 2×3 grid of locations (and general theming of the puzzle) suggests using Braille. For each tone, if we take the subset of locations that play that tone and read that as a Braille letter, we get:
| C4 | P |
| D4 | Q |
| E4 | R |
| F4 | S |
| G4 | U |
| A4 | V |
| B4 | W |
| C5 | X |
This is a consecutive sequence of the alphabet with T missing.
Like in room 2, walking over different regions causes different sound clips to play.
In the screenshot above:
The shapes and layout of the regions combined with the colors + “searchin” + “lucky” leads to the aha that this represents the Google homepage, where the letters in the logo are represented by their colors, with the exception of E, which has been replaced by noise.
This room contains a bunch of sound sources that play constant square tones. Like rooms 1 and 3, the sounds become louder as you move closer, helping pinpoint where they are. However, unlike rooms 1 and 3, the sounds seem to disappear if you move too close to them.
It turns out that each tone has two possible locations, and if you move too close to the current location of a tone, it will teleport to the other location and vice versa.
In the diagram above:
Drawing lines between the two points corresponding to each tone, we make the shape of a capital R.
In this room, each of 24 regions within a 5×5 square (the middle one is a wall) plays a clip of two simultaneous voices.
If you walk across each row and column, you can hear one of the voices reading out a crossword clue. The higher voice always reads across a row and the lower voice always reads down a column. With some difficulty, we can identify the clues:
| Row 1 | Attended, as a party |
| Row 2 | Look before you leap, e.g. |
| Row 3 | Self driving[...]sensor |
| Row 4 | Soils good for planting |
| Row 5 | Lauder of cosmetics |
| Column 1 | Love of Eve in film |
| Column 2 | “So long” in Seville |
| Column 3 | Seventy-eight[...]elist |
| Column 4 | One’s best self, perhaps |
| Column 5 | Not circumlocutory |
We can solve these clues and place the answers in a 5×5 grid given by the room layout:
| W | A | S | A | T |
| A | D | A | G | E |
| L | I | A | R | |
| L | O | A | M | S |
| E | S | T | E | E |
Although parts of the clues for the 3rd row and column are cut off by the missing center square, we can use the known letters to deduce that the clues are “Self driving car sensor” and “‘78 Nobelist”, with answers LIDAR and SADAT intersecting at the D in the center.
This room has several regions that play a square tone when you are standing in them. We can map them out:
We can see the letters P, I, N, O with an underscore or dash in the middle. This can only be filled in with the letter A to get the thematic word PIANO.
The 5 regions play the tones C4, D4, E4, F4, and G4 respectively, which confirms the ordering.
In this room, different snippets from the first ~5 seconds of “Never Gonna Give You Up” by Rick Astley play, but only when you move. The room is otherwise totally empty.
With some experimentation, we find that the specific clip that plays depends on which direction you’re moving in. We can smoothly play the beginning of “Never Gonna Give You Up” in the right order by moving NW for .75 seconds, S for .75 seconds, N for 1.5 seconds, E for .75 seconds, SE for .375 seconds, SW for .375 seconds, and finally W for .75 seconds (nothing plays if you move NE). This traces out the shape of a capital R.
(The exact clip lengths are only provided for completeness — you certainly don’t need to be so precise to solve it.)
This room is similar to rooms 2 and 4 in that walking over certain regions plays certain sounds.
In the above screenshot:
We can deduce that this represents a monopoly board, as the red regions are the railroads and the corners represent Free Parking, Go To Jail, Just Visiting, and Go. The squares corresponding to the “ding” sounds are New York Avenue, Free Parking, Kentucky Avenue, Water Works, Park Place, and Boardwalk. These are exactly the set of spaces on a Monopoly board whose names contain the letter K.
(Note: this subpuzzle is much more difficult to solve without knowing that you’re looking for a single letter.)
We read the letters clockwise around the main room, picking an appropriate starting place, to get the answer AFTER DARK.


This project examines and explores weather data for more than 500 cities as a function of their
latitude location. The analysis includes analysis of wind speed, Maximum Temperature, Cloud Index
and Humidity. These data are then analyzed and plotted as a function of latitude. The data was
drawn from Open Weather Map's website Open Weather Map
using Python API calls to that site, then stored in CSV files and integrated into Panda Dataframes and plotted
with Matplotlib
Besides the Matplotlib charting, statistical analysis was also conducted on the weather parameters versus
the city latitude. At this time the analysis is limited to linear regression with correlation coefficents
computed and best fit lines plotted. However we could have applied non-linear models as well or attemted
to correlate weather parameters to see if there was a relationship. For the purpose of this study, the aim in
this project is limited to providing simple statistical analysis and plots as a foundation for improving
the data visualization skills and bringing them to life for in a website platform so that data is available
to those on the internet.


(.%) contact HCW hospital patient contacts floor infection week number patterns {border-style care control movement occupational px;} time transmission #ffffff;} Fig. data study visits (.) healthcare network reported spent Health categories direct floors nodes patients HCWs spread (%) Hospital Infect Table networks respiratory PCA based corresponding duration physicians significantly survey Canadian Research Total disease locations spatial Chickenpox N/A caring health higher prevention provide settings with. (and IPC N = ) Physicians RTI Wear [], day hospital. infectious nurses occupations participating px; staff visited {font-family (hrs/week) Average Contact HAI administrative/support area category font-size heterogeneity highest infections location practices respondents workers BMC Control Direct Dis Ethics Nurses Respondents areas bar compliance double; frequency grid.. hospitals hours mixed nurses, paper physicians, precautions rate role setting single used using > (Table (i.e., CONNECT Public aggregate analysis available bipartite border-color border-width compared comply defined different electronic high hospitals. medical potential proximity responses settings. shows social solid; type week, weighted work {font-style {font-weight (> (e.g. (red: Additional Barrat Epidemiol HCWs" HCWs. Hosp Infection Institutes Nova Polgreen Scotia Staff University Using additional address article blue: bold completed complexity contact, contributions courier; cyan: data. diseases diversity dynamics edges effective em; extended facilitate general green: guidelines healthcare-associated individuals information large mean min mixing movement, outpatient panel personal play presented pt;} questions response results risk self-reported setting. strategies stratified structure studies supplementary surveys syndrome use wards wearable worker


| starwars {dplyr} | R Documentation |
The original data, from SWAPI, the Star Wars API, https://swapi.dev/, has been revised to reflect additional research into gender and sex determinations of characters.
starwars
A tibble with 87 rows and 14 variables:
Name of the character
Height (cm)
Weight (kg)
Hair, skin, and eye colors
Year born (BBY = Before Battle of Yavin)
The biological sex of the character, namely male, female, hermaphroditic, or none (as in the case for Droids).
The gender role or gender identity of the character as determined by their personality or the way they were programmed (as in the case for Droids).
Name of homeworld
Name of species
List of films the character appeared in
List of vehicles the character has piloted
List of starships the character has piloted
starwars


AbsJewels: Handmade Jewelry
Handmade jewelry that is best suited for your creativity.
Submit an image or idea of a ring, necklace, or earring that you like.
My designs start with copper, gold, silver, and bronze wire.
Adding crystals and other jewels make it creative and unique.
Table of prices for various handmade services
| Type | Basic Wire Wrap | With Crystal or Gemstone | With 2 Crystals or Additional Gemstones |
|---|---|---|---|
| Rings | $10-15 | $15-20 | $25-30 |
| Necklaces | $20-25 | $30-35 | $40-45 |
| Earrings | $10-15 | $20-25 | $35-40 |
Click here to see some examples


M13InfiniteTabBarController Class Reference
| Inherits from | UIViewController |
| Conforms to | M13InfiniteTabBarCentralPullViewControllerDelegate M13InfiniteTabBarDelegate |
| Declared in | M13InfiniteTabBarController.h M13InfiniteTabBarController.m |
Tasks
Initalization
-
– initWithViewControllers:pairedWithInfiniteTabBarItems:
Initalize an instance of
M13InfiniteTabBarController
with a set ofUI
ViewControllers paired with a set of
M13InfiniteTabBarItem
s.
Basic Properties
-
delegate
Responds to
propertyM13InfiniteTabBarController
’s delegate methods. -
infiniteTabBar
The
propertyM13InfiniteTabBar
instance the controller is controlling. This property is accessable to allow apperance customization.
Selection Handling
-
selectedViewController
The selected
propertyUI
ViewControllerinstance.
-
selectedIndex
The index of the selected `UIViewController
property -
– setSelectedIndex:
Set the selected
UI
ViewControllerprogramatically by its index
-
– setSelectedViewController:
Set the selected
UI
ViewController.
-
centralViewController
The UIViewController that is accesssable by pulling up on the
propertyM13InfiniteTabBar
-
isCentralViewControllerOpen
Returns wether the central view controller is on screen or not.
property -
– showAlertForCentralViewControllerIsEmergency:
Show the upward chevron animation.
-
– setCentralViewControllerOpened:animated:
Change the state of the central view controller.
-
– endAlertAnimation
End the chevron animation
Appearance
-
UI_APPEARANCE_SELECTOR
The background color of the tab bar
property -
pullNotificatonBackgroundView
The view that is shown and animated to alert users to a change in the central view controller.
property
Other Methods
-
– infiniteTabBar:shouldSelectItem:
Asks the delegate if the tab that the user selected should be selected.
-
– infiniteTabBar:didSelectItem:
Lets the delegate know that an tab bar item has been selected
-
– infiniteTabBar:willAnimateInViewControllerForItem:
Prepare to animate in a new
UIViewController
. Anything in this method will not be animated on screen. -
– infiniteTabBar:animateInViewControllerForItem:
Preform animations to change the front most view controller here.
-
– pullableView:didChangeState:
Lets the delegate know that the central view controller did change positions.
Properties
UI_APPEARANCE_SELECTOR
The background color of the tab bar
@property (nonatomic, retain) UIColor *UI_APPEARANCE_SELECTOR
Declared In
M13InfiniteTabBarController.h
centralViewController
The UIViewController that is accesssable by pulling up on the M13InfiniteTabBar
@property (nonatomic, retain) UIViewController *centralViewController
Discussion
Note: When M13InfiniteTabBar
gets updated for iOS 7, the centralViewController might dissapear. This is due to a conflict of how iOS 7 has a panel that drags like notification center from the bottom. Unless I can find an alternitive way to bring the central view controller up, It will just have to become a tab in the tab bar.
Declared In
M13InfiniteTabBarController.h
delegate
Responds to M13InfiniteTabBarController
’s delegate methods.
@property (nonatomic, retain) id<M13InfiniteTabBarControllerDelegate> delegate
Declared In
M13InfiniteTabBarController.h
infiniteTabBar
The M13InfiniteTabBar
instance the controller is controlling. This property is accessable to allow apperance customization.
@property (nonatomic, readonly) M13InfiniteTabBar *infiniteTabBar
Declared In
M13InfiniteTabBarController.h
isCentralViewControllerOpen
Returns wether the central view controller is on screen or not.
@property (nonatomic, readonly) BOOL isCentralViewControllerOpen
Declared In
M13InfiniteTabBarController.h
pullNotificatonBackgroundView
The view that is shown and animated to alert users to a change in the central view controller.
@property (nonatomic, retain) M13InfiniteTabBarCentralPullNotificationBackgroundView *pullNotificatonBackgroundView
Declared In
M13InfiniteTabBarController.h
selectedIndex
The index of the selected `UIViewController
@property (nonatomic) NSUInteger selectedIndex
Declared In
M13InfiniteTabBarController.h
Instance Methods
endAlertAnimation
End the chevron animation
- (void)endAlertAnimation
Declared In
M13InfiniteTabBarController.h
infiniteTabBar:animateInViewControllerForItem:
Preform animations to change the front most view controller here.
- (void)infiniteTabBar:(M13InfiniteTabBar *)tabBar animateInViewControllerForItem:(M13InfiniteTabBarItem *)item
Parameters
- tabBar
The instance of
M13InfiniteTabBar
that has been changed.
- item
The `M13InfiniteTabBarItem that has been selected.
Discussion
Warning: Do not create your own UIView
animation. One has already been started for you by the M13InfiniteTabBarController
.
Declared In
M13InfiniteTabBar.h
infiniteTabBar:didSelectItem:
Lets the delegate know that an tab bar item has been selected
- (void)infiniteTabBar:(M13InfiniteTabBar *)tabBar didSelectItem:(M13InfiniteTabBarItem *)item
Parameters
- tabBar
The instance of
M13InfiniteTabBar
that has been changed.
- item
The
M13InfiniteTabBarItem
that has been selected.
Declared In
M13InfiniteTabBar.h
infiniteTabBar:shouldSelectItem:
Asks the delegate if the tab that the user selected should be selected.
- (BOOL)infiniteTabBar:(M13InfiniteTabBar *)tabBar shouldSelectItem:(M13InfiniteTabBarItem *)item
Parameters
- tabBar
The instance of `M13InfiniteTabBar that is requesting a change.
- item
The
M13InfiniteTabBarItem
that will be selected.
Return Value
Wether or not the tab bar can select that tab.
Declared In
M13InfiniteTabBar.h
infiniteTabBar:willAnimateInViewControllerForItem:
Prepare to animate in a new UIViewController
. Anything in this method will not be animated on screen.
- (void)infiniteTabBar:(M13InfiniteTabBar *)tabBar willAnimateInViewControllerForItem:(M13InfiniteTabBarItem *)item
Parameters
- tabBar
The instance of
M13InfiniteTabBar
that has been changed.
- item
The
M13InfiniteTabBarItem
that has been selected.
Declared In
M13InfiniteTabBar.h
initWithViewControllers:pairedWithInfiniteTabBarItems:
Initalize an instance of M13InfiniteTabBarController
with a set of UI
ViewControllers paired with a set of
M13InfiniteTabBarItem
s.
- (id)initWithViewControllers:(NSArray *)viewControllers pairedWithInfiniteTabBarItems:(NSArray *)items
Parameters
- viewControllers
All the view controllers for the tabs in order.
- items
The tabs that correspond to the
UIViewControllers
in the other array.
Return Value
An instance of M13InfiniteTabBarConroller
Discussion
Note: On the iPhone, the third item in the tab bar is selected initally. On the iPad the fifth item is selected initally.
Declared In
M13InfiniteTabBarController.h
pullableView:didChangeState:
Lets the delegate know that the central view controller did change positions.
- (void)pullableView:(M13InfiniteTabBarCentralPullViewController *)pullableView didChangeState:(BOOL)isOpen
Parameters
- pullableView
The view that changed.
- isOpen
Wether or not the view is on screen.
Declared In
M13InfiniteTabBarCentralPullViewController.h
setCentralViewControllerOpened:animated:
Change the state of the central view controller.
- (void)setCentralViewControllerOpened:(BOOL)opened animated:(BOOL)animated
Parameters
- opened
The new state of the central view controller.
- animated
Wether or not the transition is animated.
Declared In
M13InfiniteTabBarController.h
setSelectedIndex:
Set the selected UI
ViewController programatically by its index
- (void)setSelectedIndex:(NSUInteger)selectedIndex
Parameters
- selectedIndex
The index to be selected.
Declared In
M13InfiniteTabBarController.h
setSelectedViewController:
Set the selected UI
ViewController.
- (void)setSelectedViewController:(UIViewController *)selectedViewController
Parameters
- selectedViewController
The
UI
ViewControllerto be selected.
Declared In
M13InfiniteTabBarController.h
showAlertForCentralViewControllerIsEmergency:
Show the upward chevron animation.
- (void)showAlertForCentralViewControllerIsEmergency:(BOOL)emergency
Parameters
- emergency
Indicate if the new alert is an emergency. The choice determines the color of the chevron.
Declared In
M13InfiniteTabBarController.h


Watson after Texans’ 41-7 loss: ‘Flush it and move forward’
by DAVID GINSBURGBALTIMORE (AP) - When he met Baltimore’s Lamar Jackson on the field following a 41-7 defeat that was still too fresh to process, the Houston’s Deshaun Jackson swapped uniform tops with his fellow quarterback.
Watson scrawled a signature on his No. 4 jersey for Jackson, then embellished his autograph with a message that could serve as a warning for a league that is still trying to figure out how to defend the Ravens’ dual threat.
“I just wrote, ‘Always love, keep going, keep grinding.’ I wrote ‘MVP’ on it,” Watson said. “He’s like a brother to me. I’m proud of him. That’s what I told him.”
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A game billed as a head-to-head battle of two multi-dimensional quarterbacks never materialized. Instead, Jackson outplayed Watson from the outset, the veteran never able to catch up to the youngster.
Houston gave up seven sacks to a Baltimore defense that had collared opposing quarterbacks only 16 times over its first nine games. Watson was harried and hurried, unable to mount a comeback against a Baltimore onslaught that just kept picking up steam.
Not only was Watson limited to 169 yards passing, but he lost a fumble, threw an interception and gained only 12 yards on three carries.
“They just played hard,” Watson said of the Ravens. “They had a scheme up front. That was pretty much it.”
He took the loss in stride, saying the Texans would “flush it and move forward” and immediately start focusing on a short week of preparation for Thursday night’s home game against the Colts.
“For me, a loss is a loss,” Watson said when asked if a rout was harder to digest than a narrow defeat. “We could have went back and forth, it could have been 41-42 and a loss and still be disappointing.”
Coming in, the Texans (6-4) had won four of five. Watson was playing like an MVP.
And then, well, Houston and its standout quarterback had one of those days you’d like to forget (or “flush”).
“I’ve had a lot of success and I’ve had a lot of failures. Every great quarterback has - Peyton Manning, Tom Brady, Aaron Rodgers,” Watson said. “They’re going to have their days and they will continue to. The criticism will still come. I can go out there Thursday and light it up and everyone’s back talking highly about me.”
After this game, everyone was talking about Jackson, who threw four touchdown passes and ran for 86 yards.
“He’s as good as advertised,” Texans cornerback Johnathan Joseph said. “Obviously, he made a lot of plays with his legs. He made a couple of throws. He did what he was supposed to do.”
Fortunately for the Texans, they don’t have to lament long about this dud of a performance. First place in the AFC South will be on the line when Indy comes to town.
“A quick turnaround, so you really can’t linger on (this loss) too long,” linebacker Zach Cunningham said. “It’s definitely a plus for us.”
If the Texans play well, this defeat won’t matter nearly as much. This much is certain:
“We can’t come out and do the same thing that we did today,” nose tackle D.J. Reader said.
More AP NFL: https://apnews.com/NFL and https://twitter.com/AP_NFL
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Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


At Risk
Predict
Data Overview
Email
Article
⚠ You may be at risk of a stroke ⚠
This prediction algorithm may be incorrect.
Please speak to your doctor to get a more comprehensive result
See the resources below for more information on stroke prevention and warning signs
American Stroke Foundation
Internet Stroke Center
Mayo Clinic
Heart and Stroke Foundation


Open Text Web Solutions Usergroup e.V.
c/o Intentive GmbH
Dülkener Straße 56
41747 Viersen
fon +49 2162 816156-50
fax +49 2162 816156-950
info (at) opentext-usergroup.org
The Open Text Web Solutions Usergroup e.V. (OWUG) was founded in February 2002 on the initiative of users and specialists and created a manufacturer-independent information forum. End users and partners have come together. In order to quickly expand their respective know-how through an intensive exchange of experience. And to promote the successful use of OpenText™ Web Site Management. Prior to the takeover of RedDot Solutions AG by OpenText™, the association was called RedDot Usergroup e.V. (RDUG).


This code was originally part of libxode, then was maintained directly as part of jabberd-1.4, and although it works and is convenient, it's pretty awful stuff and not used much anywhere in any new codebases. It's only here for some bootstrapping and prototyping, soon to be replaced!


Navigation
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BallotBox v0.1 documentation
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BallotBox Documentation
¶
Contents:
Introduction
About ballotbox
Dependencies
Additional Information
Installation
Development
Easy Install
Manual Download
Checking the Source
Quick Start
Voting Methods
Simple Voting
Majority Rule
Plurality Voting
First Past the Post
Preferential
Copeland’s Method
The Kemeny-Young Method
Minmax Voting
Borda Voting
Nanson Voting
Baldwin Voting
Rated Voting
License
TODO
Implementation
Testing
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Version 0.1
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Ballot
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Multi-Winner
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Indices and tables
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In addition, we collect a number of settings, if you do not appreciate this, you can disable this via the AppSetting: EnablePackageTelemetry
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{% extends "layout.html" %} {% block title %} | Page not Found{% endblock %} {% block body %} Sorry! {% if message %} {{message}} {% endif %} We couldn't find what you were looking for. Go Home. Try again. {% endblock %}
We couldn't find what you were looking for.
Go Home. Try again.


MealRecs
Step 3: Choose Recipes that will use Remaining Ingredients
Recipes Included
×
Total Ingredients Needed
Buy Ingredients
Meal Recommendations using your remaining ingredients


-- --: URL hhmm-hhmm,hhmm-hhmm --: facebook.com 0930-1259,1300-1530 twitter.com 1000-1259 (facebook|twitter).com 0000-0730,0945-1159 --: --: -- -- -- -- -- -- -- -- -- -- ex) http://mydomain.com -- Enable of the block function Enable of the time-group function (ex) 0000-2359 ... Enable of shortcut link to the options page Temporary unlock with input password Enable of the password function -- - 0.2.4 - Added a nrew function "Redirecting Function of when blocked" - 0.2.3 - <IP_ADDRESS> - Translated to Korean. Special Thanks: [Jihyun Won](https://twitter.com/WonZeeeeee) - Clear Twitter CSP - 0.2.2 - Translated to Turkish. Special Thanks: [Muhammed Ali Efe](https://twitter.com/MAliEFE44) - 0.2.1 - Translated to French. Special Thanks: [Jérémy Gasche](https://github.com/jeremygasche) - 0.2.0 - Add a new function "Password Protection". - 0.1.9 - <IP_ADDRESS> - Modified User Interface. - Modified Block Rules. - Added a new page "Tell a friend". - Bug-Fixed of "Tell a friend" page. - 0.1.8 - <IP_ADDRESS> - Translated to Slovenian. Special Thanks: [Mrein Stain](https://www.facebook.com/profile.php?id=100003095811907) - 0.1.7 - Translated to Portuguese. Special Thanks: [Lucas, Jean](https://twitter.com/aleattorium) - 0.1.5 - <IP_ADDRESS> - Converted unicode for I18N Messages - Translated to Chinese. Special Thanks: [Lu Chenqiang](https://www.facebook.com/profile.php?id=100001646680506) - 0.1.4 - modified for performance. - option page renewal. - popup page renewal. - 0.1.0 - 0.1.3 - modified for performance. - bug fixed. - 0.0.19 - modified for performance. - added new function. - 0.0.18 - translated to Italian. Special Thanks: [Matteo Pendezzini](http://www.facebook.com/matteo.pendezzini) - 0.0.17 - modified for performance. - 0.0.16 - translated to Spanish. Special Thanks: [JBantha](http://twitter.com/JBantha) - 0.0.13 - 0.0.15 - modified for performance. - added new function. - 0.0.12 - modified for performance. - renewed for icons. - 0.0.11 - modified for performance. - removed permission of "management". - 0.0.10 - modified for performance. - 0.0.9 - modified for performance. - disabled of browser action. - choice of shortcut link to the option page. - 0.0.6 - 0.0.8 - modified of version 0.0.5. - 0.0.5 - modified for performance. - 0.0.4 - added GA. - 0.0.3 - added to wildcard (Regular expression). - modified to localization. - optimized to option. - 0.0.2 - bug fix. (hhmm-hhmm,[space]hhmm-hhmm) - published. - 0.0.1 - started development. About Website Blocker Chrome Web Store -- -- -- -- Jihyun Won translated to Korean. Thank you very much! Muhammed Ali Efe translated to Turkish. Thank you very much! Jérémy Gasche translated to French. Thank you very much! Mrein Stain translated to Slovenian. Thank you very much! Lucas, Jean translated to Portuguese. Thank you very much! Lu Chenqiang translated to Chinese. Thank you very much! Matteo Pendezzini translated to Italian. Thank you very much! JBantha translated to Spanish. Thank you very much! Other Products Google Chrome App: Markdownista Google Chrome Extension: JAPAN - Power Usage Checker Google Chrome Extension: Backyard Google Chrome Extension: Quick-Notifier for Trello


{% comment %} For displaying a list of Selections that are attached to an Event. e.g., ClassicalWorkSelections or MovieSelections. Used on the Event Detail page. Expects: * selection_list - A list/QuerySet of ClassicalWorkSelections, MovieSelections, etc. * heading - Optional text to use for the heading. If none, no heading is shown. {% endcomment %} {% if selection_list|length > 0 %} {% if heading %}


Restaurant Ew!
Home
Appetizer
Soup
Main Dishes
Desserts
<<<<<<< HEAD
Appetizer
=======
Appetizer >>>>>>> origin/master
Soup
Maindish
Desserts


Solvers¶
Supported Solvers¶
Currently, CBM has support for
- GLPK
- CPLEX
- Gurobi (Does not support parallel functions)
All methods that have an optional arguement solver
will accept GLPK, Gurobi or CPLEX, but GLPK is the default
Methods¶
In the descriptions for all methods, LPProb stands for one of the following:
GLPK.Prob
CPLEX.Model
Gurobi.Model
ClpModel
change objective¶
Change the objective value for a single/multiple reactions.
If not specified, the value/s for the chosen reaction/s will be set to 1.0
Usage:
change_objective(lp::LPPRob, objective::Number, value::Number = 1.0)
change_objective(lp::LPPRob, objective::Array{Number}, value::Array=[])
Example Create a lp for e_coli core, where reaction 13 is the biomass reaction. And change the lp so that the objective reaction is reaction 11 instead of 13:
lp = setup_lp(model)
change_objective(lp, 11, 1.0)
Note that now the objective for reaction 13 is 0.0.
To add an objective, see set_objective()
get_variable_bounds¶
Return the lower and upper bounds for all reactions or a single reaction from a LPProb:
lb, ub = get_variable_bounds(lp::LPProb)
lb, ub = get_variable_bounds(lp::LPProb, index::Number)
Example Get the bonds for reaction 13, the biomass function (in e_coli_core):
julia> lb, ub = get_variable_bounds(lp, 13)
(0.0,1000.0)
get_constraint_bounds¶
Return the variable bounds for all reactions or a single reaction from a LPProb:
b = get_constraint_bounds(lp::LPProb)
get_constraint_matrix¶
Return the coefficient matrix, S from the lp:
S = get_constraint_matrix(lp::LPProb)
get_direction¶
Return the optimization direction for a LPProb:
direction = get_direction(lp::LPProb)
Returns either maximize
or minimize
get_objective_value¶
Return the objective value for a solved LPProb:
objective = get_objective_value(lp::LPProb)
Example
Lets get the biomass growth for a e_coli_core model:
julia> lp = setup_lp(model)
GLPK Model
sense : maximize
variables = 95
constraints = 72
coefficients = 360
solve(lp);
get_objective_value(lp)
0.8739215069684305
get_reduced_costs¶
Return the reduced costs for a solved LPProb:
reduced_costs = get_reduced_costs(lp::LPProb)
get_solution¶
Return the entire solution vector for a solved LPProb:
solution = get_solution(lp::LPPro)
get_solution_status¶
Return the solution status. The status can be one of the following
- Optimal
- No feasible solution
- Infeasible
- Feasible
- Unbound
- Undefined
Example
Lets see the solution status code for the ecoli core model:
julia> lp = setup_lp(model);
solve(lp);
get_objective_value(lp)
0.8739215069684305
get_solution_status(lp)
"Optimal"
get_solution_status_code¶
Return solver-specific status code of a solved problem
Different solvers return different status codes. Fx for GLPK, the status code 5 means that the problem has an optimal solution, while for CPLEX, 1 is returned if a problem has an optimal solution:
status_code = get_solution_status_code(lp::LPProb)
get_objective¶
Returns the objective vector from a LPProb, the same vector as is in model.c:
objective = get_objective(lp::LPProb)
set_direction¶
Set the optimization direction for a LPProb:
set_direction(lp::GLPK.Prob, direction::AbstractString)
direction
can only be max
or min
set_col_bounds¶
Set lower and upper bounds for a reaction:
set_col_bounds(lp::GLPK.Prob, index::Number, lb::Number, ub::Number)
set_col_bounds(lp::GLPK.Prob, index::Number, fixed_value::Number)
The second method is used to fix a reaction to a particular value, commonly used to disable a reaction by fixing in to 0.0.
set_objective¶
Add another objective to the LPPRob:
set_objective(lp::GLPK.Prob, objective::Number, value::Number = 1.0)
solve¶
Optimize the LPPRob:
julia> lp = setup_lp(model)
GLPK Model
sense : maximize
variables = 95
constraints = 72
coefficients = 360
solve(lp)
0


This web app was created as part of the Canadian Open Data Experience 48h hackathon. Used within it is data graciously provided by the Government of Canada through their Open Data Initiative.
Specifically this app makes use of compiled results from the 2011 National Household Survery, and the 2011 National Census. This data is available under the Open Government Licence - Canada
This webapplication makes suggestions based upon pseudo-statistical compatibility. No accuracy implied or stated. For entertainment purposes only.
Really...don't trust your life to this website...or any other on for that matter.


The school and the college name with the established date and the year I passed.
Established in January 23 1989 AD.Completed my SlC in 2000 AD. The founder of the school is Mr. Upendra Adhikari.
Established in 2000 AD. Completed my +2 in the year 2004 A.D.The course includes Management,Humanities and Science.
Established in 2001 AD. Completed my Bachelors in 2014 AD. The currently running programs are B.E Civil, B>.E Computer and B.E Electronics.