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People in Placebo Nursing home know everything about Dementia illness. When I brought my grandmother there I knew that she will receive the best care, a care with dignity!
Placebo is the most complete medical center in Europe. We are here from the beginning to the end, delivering Lifetime HealthCare.
Helping people since 1923, Placebo has won the Best Hospital Award in the past 7 years in almost any category.


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Taking the Coursera Deep Learning Specialization, Sequence Models course. Will post condensed notes every week as part of the review process. All material originates from the free Coursera course, taught by Andrew Ng. See deeplearning.ai for more details.
Table of Contents
Natural Langauge Processing & Word Embeddings
- Learn about how to use deep learning for natraul language processing.
- Use word vector representations and embedding layers to train recurrent neural networks with great performance.
- Learn to perform sentiment analysis, named entity recognition, machine translation.
Introduction to Word Embeddings
Word Representation
- So far, words have been represented with a 1-hot vector of a word vocabular list.
- One of the weaknesses of this representation is it treats each word as a thing of it self. It’s difficult to generalize across different words.
- The inner product between two one-hot vectors is zero.
It would be better if each word could be represented by features.
For instance, a word could have a gender associated with it.
The word man
could have gender -1
and the word woman
could have gender +1
while a word like apple
could have gender 0
.
Notation is $e_5391$ where the subscript value is the original one hot vector index, but $e$ is referring to the feature vector instead of the one-hot vector.
It’s common to visualize word embeddings in a 2D plane (using an algorithm like t-SNE). These are called embeddings, as each word is applied to a point in a multi-dimensional space (each point has it’s own space). T-SNE allows you to visualize this in a lower diemsntional space.
Using word embeddings
Named entity recognition, trying to detect people’s names in a sentence.
Word embeddings can look at 1B to 100B words. (this is common) Training set can be around 100K words.
This knowledge can be transferred to named entity recognition, as you can train your neural network’s word embeddings on text found on the internet.
- Learn word embeddings from a large text corpus (1-100B words). Or you can downloda pre-trained embedding online
- Transfer embedding to new task with a smaller training set (say 100k words.) Rather than using a 10,000 one hot vector, you can now use a 300 dimension dense vector.
- Optional: Continue to fine tune the word embeddings with new data.
Finally, word embeddings have an interesting relationship to face encoding.For face recognition, recall the siamese network training for generating encoding for the input image’s face. The image encoding is similar to the word embedding, however word embeddings usually have a fixed size dictionary and a unknown variable.
Properties of word embeddings
Suppose that you are given the question “Man is to woman, as King is to ?”
Is it possible to have the neural network answer this question using the word embeddings? Yes it is. One interesting property of word embeddings is that the you can subtract the vector $e_{\text{man}} - e_{\text{woman}}$ you can compare that to the vector $e_{\text{king}} - e_{\text{queen}}$.
Your algorithm can first subtract the vectors man/woman to calculate the difference for finding a similar analogy for king to ?.
In pictures, perhaps the word embedding is in 300 dimensional space. The vector difference between Man and Woman is very similar to the vector difference between King and Queen. The arrow difference in the slide below represents a difference in gender.
Try to find the word $w$ such that the following equation holds true. $$ e_{\text{man}} - e_{\text{woman}} \approx e_{\text{king}} - e_{\text{queen}}$$
Find word w: $ \text{arg} \max\limits_w \text{similarity}(e_w, e_{\text{king}} - e_{\text{man}} + e_{\text{woman}})$
If you learn a set of word embeddings, you can find analogies using word vectors with decent accuracy.
The most commonly used similarity function is Cosine similarity.
$$\text{similarity}(u, v) = \dfrac{u^Tv}{||u||_2||v||_2} $$
Can also use euclidian distance. $ ||u-v||^2 $.
Things it can learn:
- Man:Woman as Boy:Girl
- Ottawa:Canada as Nairobi:Kenya
- Big:Bigger as Tall:Taller
- Yen:Japan as Ruble:Russia
Embedding matrix
When you implement an algorithm to learn an embedding, you’re learning an embedding matrix.
Take for instance, a 10,000 word vocaulary. [a, aaron, orange, ... zulu, <UNK>]
The let’s make this matrix E = 300 by 10,000. If Orange was indexed 6257,
$O_{6257}$ is the one hot vector of 10,000 rows with a 1 at the 6257th position.
$$ E * O_j = e_j $$
Initialize E randomlly, then use gradient descent to learn the parameters of the embedding matrix.
In practice, you use a specialized function to do the multiplication, as matrix multiplication is innefficient with many one hot vectors. Keras has an embedding module that does this for you.
Learning Word Embeddings: Word2vec & GloVe
Learning word embeddings
Lets say you’re building a language model. Building a neural language model is a reasonable way to learn word embeddings.
You can have various context and target pairs.
Word2Vec
Recall the above Skip-grams. Let’s say you’re given the sentence “I want a glass of orange juice to go along with my cereal”. Rather than having context be the immediate last word, randomly pick a word to be your context word.
Model:
- Vocab size = 10,000 words
- Want to learn a mapping from some context c (“orange”) to some target t (“juice”)
Softmax : $$ p(t|c) = \dfrac{e^{\theta_t^Te_c}}{\sum\limits_{j=1}^{10,000}e^{\theta_j^Te_c}} $$
$$ \theta_t = \text{parameter associated with output t} $$
Loss function: $$ \mathcal{L}(\hat{y}, y) = - \sum\limits_{i=1}^{10,000} y_i \log \hat{y}_i $$
Problems with softmax classification:
- You need to carry out a sum over your entire vocabulary every time you want to calculate a probability.
- use a hiearchical softmax classifier. Think of it as a decision tree with binary/logistic classifier. This scales with log of vocablary size, rather than linear scale with vocablary size.
In practice, $ P( c)$ is not taken uniformly randomly. There are issues of getting a lot of common words ‘and, or, to’ etc. We choose words more likely to result in a better embedding matrix.
Negative Sampling
The downside of the last step is the softmax step is slow to compute. This algorithm is much more efficient.
Define a new learning problem
- I want a glass of orange juice to go along with my cereal.
Given a pair of words, orange:juice, determien if it is a context target pair.
orange:juice returns 1
, while orange:king returns 0
.
Pick a valid context/word pair, then pick a bunch of random variablse from the dictionary and then set them to be 0
(random words are usually not content linked.)
Define a logistic regression model.
$$ P(y=1 | c, t) = \sigma (\theta_t^Te_c) $$
You are only updating K=1 binary classification probelms rather than updating a 10,000 array.
How do you choose the negative examples? After choosing the context word “orange”, how do you choose the negative examples? - One thing you can do is sample the candidate target words according to the imperial frequency of words in your corpus. (how often it appears) The problem is it gives you a bunch of words like “The, of, and, …”
Imperically, what they though to work best:
$$ p(w_i) = \dfrac{f(w_i)^{3 / 4}}{\sum\limits_{j=1}^{10000} f(w_j)^{3 / 4}} $$
GloVe word vectors
GloVe stands for “global vectors for word representation”.
“I want a glass of orange juice to go along with my cereal.”
$$ x_{ij} = \text{ # times i appears in context of j} $$
- How often do words appear close with each other?
Minimize:
$$ \sum\limits_{i=1}^{10,000} \sum\limits_{j=1}^{10,000} f(X_{ij})(\Theta_i^Te_j + b_i + b_j’ - \log{X_{ij}})^2 $$ $$ f(X_{ij}) = 0 \text{if} X_{ij} = 0 $$ - $f$ accounts for $0\log{0} = 0 $. - $f$ also accounts for frequent words (this, is, of, a) and infrequent words (durian)
Note on the featurization view of word embeddings
- features learned using these algorithms do not neatly translate to interperatable features like ‘gender’, or ‘royal’.
Applications using Word Embeddings
Sentiment Classification
Task of looking at a piece of text, telling if the text is “liked” or “disliked”.
- You may not have a huge labeled dataset.
Simple sentiment classification model
- Take your words as one hot vectors, multiply it by the embedding matrix to extract out your word’s embedding vector
- Averaging your embedding vectors, then take the softmax classifier’s output as your value
- cons: this ignores word order
RNN for sentiment classification
- Many to One architecture RNN that takes in your entire sequence and output a softmax output
Debiasing word embeddings
How to deminish/eliminate bias (gender, race, etc.) in word embeddings.
- Man:Woman as King:Queen
- Man:Computer_Programmer as Woman:Homemaker (probably not right)
- Man:Computer_Programmer as Woman:Computer Programmer
- Father:Doctor as Mother:Nurse (although Doctor would have been better)
The biases picked up reflects the biases written by people. Difficult to scrub when you train on a lot of historical data.
- Identify the bias direction.
- Neutralize: For every word that is not definitional, project to get rid of bias.
- Equalize pairs.
- Authors trained a classifier to determine which words were definitional and which words were not definitional. This helped detect which words to neutralize (to project out bias direction).
- Number of pairs to equalize is usually very small.


I was born with a birth defect, I had two uteruses (uteri). Having two uteri caused me to have stage three (there are only four stages) endometriosis, which is quite possibly the most painful thing I have ever experienced.
However, doctors did not believe me. They thought, since I was only 13 at the time, that I was over-exaggerating my story to get attention, or that I didn't have a very high pain tolerance. Over the course of two years, I was prescribed every pain-killer imaginable, and none of them worked. My pain seemed to get worse and worse as the weeks wore on, and nothing any doctor prescribed to me helped. One day, I collapsed in the kitchen because my pain was so bad that I couldn't stand, and it was then that my father decided to do something. He found some left-over oxycontin from a dental surgery he had a few months previous, and gave two pills to help me.
Surprisingly, the pain washed away. It was a slow gradual relief that I barely noticed, but I just remember waking up for the first time in over a year and not being in pain. It was the most amazing experience of my life. I started taking oxycontin daily, merely as a way of literally being able to get out of bed in the morning. Every time I felt pain coming on, I would take two pills. I fell into the general pattern of taking two pills once I got to school in the morning, two at the end of the school day, and sometimes two at night if the pain was so bad I couldn't sleep.
I had read countless reports of oxycontin being used recklessly, but surprisingly I never thought the drug affected me that way. I never felt as thought I was 'high' or that my reactions were anything but what they were normally. I felt euphoric, but I simply related my feelings of euphoria to the fact that for the first time in years, I was able to go to school without having to come home two hours later because of my pain.
It took five years and two surgeries for my pain to finally go away, and I took oxycontin on an almost regular basis for that entire period. Surprisingly, I never got addicted. I even refused morphine while I was recovering, something my friends told me I was crazy to do. Once I had fully recovered and no longer needed painkillers, I gave my leftover oxycontin to my friends.
A few weeks ago my friend gave me two oxycontins, and asked me to try them with her. After taking the pills, she was extremely euphoric, and was enjoying watching a TV show. I, on the other hand, felt nothing. I had no feelings of euphoria, and none of the sensations described by others who have taken oxycontin recreationally. It has been two years since the last time I took oxycontin for medical purposes, so my tolerance was not increased, yet still I felt nothing. It will always remain a mystery how people can take painkillers recreationally. They have absolutely no effect on my other than taking some of my pain away.
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.


001/* 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the 007 * "License"); you may not use this file except in compliance 008 * with the License. You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, 013 * software distributed under the License is distributed on an 014 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 015 * KIND, either express or implied. See the License for the 016 * specific language governing permissions and limitations 017 * under the License. 018 */ 019package org.apache.shiro.web.mgt; 020 021import org.apache.shiro.mgt.DefaultSessionStorageEvaluator; 022import org.apache.shiro.session.mgt.NativeSessionManager; 023import org.apache.shiro.session.mgt.SessionManager; 024import org.apache.shiro.subject.Subject; 025import org.apache.shiro.web.subject.WebSubject; 026import org.apache.shiro.web.util.WebUtils; 027 028/** 029 * A web-specific {@code SessionStorageEvaluator} that performs the same logic as the parent class 030 * {@link DefaultSessionStorageEvaluator} but additionally checks for a request-specific flag that may enable or 031 * disable session access. 032 * <p/> 033 * This implementation usually works in conjunction with the 034 * {@link org.apache.shiro.web.filter.session.NoSessionCreationFilter}: If the {@code NoSessionCreationFilter} 035 * is configured in a filter chain, that filter will set a specific 036 * {@code ServletRequest} {@link javax.servlet.ServletRequest#setAttribute attribute} indicating that session creation 037 * should be disabled. 038 * <p/> 039 * This {@code DefaultWebSessionStorageEvaluator} will then inspect this attribute, and if it has been set, will return 040 * {@code false} from {@link #isSessionStorageEnabled(org.apache.shiro.subject.Subject)} method, thereby preventing 041 * Shiro from creating a session for the purpose of storing subject state. 042 * <p/> 043 * If the request attribute has 044 * not been set (i.e. the {@code NoSessionCreationFilter} is not configured or has been disabled), this class does 045 * nothing and delegates to the parent class for existing behavior. 046 * 047 * @since 1.2 048 */ 049public class DefaultWebSessionStorageEvaluator extends DefaultSessionStorageEvaluator { 050 051 //since 1.2.1 052 private SessionManager sessionManager; 053 054 /** 055 * Sets the session manager to use when checking to see if session storage is possible. 056 * @param sessionManager the session manager instance for checking. 057 * @since 1.2.1 058 */ 059 //package protected on purpose to maintain point-version compatibility: (1.2.3 -> 1.2.1 should work always). 060 void setSessionManager(SessionManager sessionManager) { 061 this.sessionManager = sessionManager; 062 } 063 064 /** 065 * Returns {@code true} if session storage is generally available (as determined by the super class's global 066 * configuration property {@link #isSessionStorageEnabled()} and no request-specific override has turned off 067 * session storage, {@code false} otherwise. 068 * <p/> 069 * This means session storage is disabled if the {@link #isSessionStorageEnabled()} property is {@code false} or if 070 * a request attribute is discovered that turns off session storage for the current request. 071 * 072 * @param subject the {@code Subject} for which session state persistence may be enabled 073 * @return {@code true} if session storage is generally available (as determined by the super class's global 074 * configuration property {@link #isSessionStorageEnabled()} and no request-specific override has turned off 075 * session storage, {@code false} otherwise. 076 */ 077 @SuppressWarnings({"SimplifiableIfStatement"}) 078 @Override 079 public boolean isSessionStorageEnabled(Subject subject) { 080 if (subject.getSession(false) != null) { 081 //use what already exists 082 return true; 083 } 084 085 if (!isSessionStorageEnabled()) { 086 //honor global setting: 087 return false; 088 } 089 090 //SHIRO-350: non-web subject instances can't be saved to web-only session managers: 091 //since 1.2.1: 092 if (!(subject instanceof WebSubject) && (this.sessionManager != null && !(this.sessionManager instanceof NativeSessionManager))) { 093 return false; 094 } 095 096 return WebUtils._isSessionCreationEnabled(subject); 097 } 098 099 100}


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Kurt Vonnegut's absurdist classic Slaughterhouse-Five introduces us to Billy Pilgrim, a man who becomes unstuck in time after he is abducted by aliens from the planet Tralfamadore. In a plot-scrambling display of virtuosity, we follow Pilgrim simultaneously through all phases of his life, concentrating on his (and Vonnegut's) shattering experience as an American prisoner of war who witnesses the firebombing of Dresden.


Willkommen Auf Der Pizza Haus!
Is That German? Is This Pizza?
What Size Pizza?
Small: 10 Inches
Medium: 14 Inches
Large: 16 Inches
Non-Meat Topping
Pick A Non-Meat
Basil
Bell Pepper
Extra Cheese
Garlic
Jalapeno
Musrhoom
Olive
Onion
Pineapple
Fresh Tomato
Sundried Tomato
Add Another Non-Meat
Meat Topping
Pick A Meat
Anchovy
Bacon
Canadian Bacon
Chicken
Ham
Linguiça
Meatball
Pepperoni
Salami
Sausage
Add Another Meat!
Please Select Quantity
1
2
3
4
5
6
7
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10
Enter Order
Your Order (Click To Reveal Price):


"Computing and computer technology are part of just about everything that touches our lives from the cars we drive, to the movies we watch, to the ways businesses and governments deal with us. Understanding different dimensions of computing is part of the necessary skill set for an educated person in the 21st century. Whether you want to be a scientist, develop the latest killer application, or just know what it really means when someone says 'the computer made a mistake', studying computing will provide you with valuable knowledge."


Registers a new activity type along with its configuration settings in the specified domain.
Warning
A TypeAlreadyExists fault is returned if the type already exists in the domain. You cannot change any configuration settings of the type after its registration, and it must be registered as a new version.
Access Control
You can use IAM policies to control this action's access to Amazon SWF resources as follows:
If the caller does not have sufficient permissions to invoke the action, or the parameter values fall outside the specified constraints, the action fails. The associated event attribute's cause parameter will be set to OPERATION_NOT_PERMITTED. For details and example IAM policies, see Using IAM to Manage Access to Amazon SWF Workflows .
See also: AWS API Documentation
register-activity-type
--domain <value>
--name <value>
[--description <value>]
[--default-task-start-to-close-timeout <value>]
[--default-task-heartbeat-timeout <value>]
[--default-task-list <value>]
[--default-task-priority <value>]
[--default-task-schedule-to-start-timeout <value>]
[--default-task-schedule-to-close-timeout <value>]
--activity-version <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
The name of the domain in which this activity is to be registered.
The name of the activity type within the domain.
The specified string must not start or end with whitespace. It must not contain a : (colon), / (slash), | (vertical bar), or any control characters (u0000-u001f | u007f - u009f). Also, it must not contain the literal string quotarnquot.
A textual description of the activity type.
--default-task-start-to-close-timeout (string)
If set, specifies the default maximum duration that a worker can take to process tasks of this activity type. This default can be overridden when scheduling an activity task using the ScheduleActivityTask decision.
The duration is specified in seconds; an integer greater than or equal to 0. The value "NONE" can be used to specify unlimited duration.
--default-task-heartbeat-timeout (string)
If set, specifies the default maximum time before which a worker processing a task of this type must report progress by calling record-activity-task-heartbeat . If the timeout is exceeded, the activity task is automatically timed out. This default can be overridden when scheduling an activity task using the ScheduleActivityTask decision. If the activity worker subsequently attempts to record a heartbeat or returns a result, the activity worker receives an UnknownResource fault. In this case, Amazon SWF no longer considers the activity task to be valid; the activity worker should clean up the activity task.
The duration is specified in seconds; an integer greater than or equal to 0. The value "NONE" can be used to specify unlimited duration.
--default-task-list (structure)
If set, specifies the default task list to use for scheduling tasks of this activity type. This default task list is used if a task list is not provided when a task is scheduled through the ScheduleActivityTask decision.
Shorthand Syntax:
name=string
JSON Syntax:
{
"name": "string"
}
--default-task-priority (string)
The default task priority to assign to the activity type. If not assigned, then "0" will be used. Valid values are integers that range from Java's Integer.MIN_VALUE (-2147483648) to Integer.MAX_VALUE<PHONE_NUMBER>). Higher numbers indicate higher priority.
For more information about setting task priority, see Setting Task Priority in the Amazon Simple Workflow Developer Guide .
--default-task-schedule-to-start-timeout (string)
If set, specifies the default maximum duration that a task of this activity type can wait before being assigned to a worker. This default can be overridden when scheduling an activity task using the ScheduleActivityTask decision.
The duration is specified in seconds; an integer greater than or equal to 0. The value "NONE" can be used to specify unlimited duration.
--default-task-schedule-to-close-timeout (string)
If set, specifies the default maximum duration for a task of this activity type. This default can be overridden when scheduling an activity task using the ScheduleActivityTask decision.
The duration is specified in seconds; an integer greater than or equal to 0. The value "NONE" can be used to specify unlimited duration.
The version of the activity type.
Note
The activity type consists of the name and version, the combination of which must be unique within the domain.
The specified string must not start or end with whitespace. It must not contain a : (colon), / (slash), | (vertical bar), or any control characters (u0000-u001f | u007f - u009f). Also, it must not contain the literal string quotarnquot.
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
None


Compare Cars Sold in Auction
Select 1st Car:
CHEVROLET
Select One
HYUNDAI
FORD
NISSAN
BUICK
HONDA
Select 2nd Car:
HYUNDAI
Select One
FORD
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| Methods' Summary |
| getQuery |
returns the query.
|
| setQuery |
sets a new query for the composer, which may be expanded by filters, group by, having
and sort criteria.
|
| getFilter |
returns the used filter.
|
| getStructuredFilter |
returns the currently used filter.
|
| getGroup |
returns the currently used GROUP BY.
|
| getGroupColumns |
returns the currently used group.
|
| getHavingClause |
returns the used HAVING filter.
|
| getStructuredHavingClause |
returns the currently used HAVING filter.
|
| getOrder |
returns the currently used sort order.
|
| getOrderColumns |
returns the currently used sort order.
|
| getQueryWithSubstitution |
returns the query previously set at the analyzer, with all application-level
features being substituted by their database-level counterparts.
|
| setCommand |
sets a new query for the composer, which may be expanded by filters, group by, having
and sort criteria.
|
| Methods' Details |
getQuery
- Description
- returns the query.
- Returns
- the query
|
|
setQuery
| void |
| setQuery( |
[in] string |
command ) |
| raises( |
::com::sun::star::sdbc::SQLException ); |
- Description
- sets a new query for the composer, which may be expanded by filters, group by, having
and sort criteria.
- Parameter command
- the single select statement to set
- Throws
- com::sun::star::sdbc::SQLException
if a database access error occurs
or the statement isn't a single select statement
or the statement isn't valid
or the statement can not be parsed.
|
|
getFilter
- Description
- returns the used filter.
The filter criteria returned is part of the where condition of the
select command, but it does not contain the where token.
- Returns
- the filter
|
|
getStructuredFilter
- Description
- returns the currently used filter.
The filter criteria is split into levels. Each level represents the
OR criterias. Within each level, the filters are provided as an AND criteria
with the name of the column and the filter condition. The filter condition
is of type string. The operator used, is defined by SQLFilterOperator.
- Returns
- the structured filter
|
|
getGroup
- Description
- returns the currently used GROUP BY.
The group criteria returned is part of the GROUP BY clause of the
select command, but it does not contain the GROUP BY keyword .
- Returns
- the group
|
|
getGroupColumns
- Description
- returns the currently used group.
The columns returned form the GROUP BY clause.
- Returns
- a collection of com::sun::star::sdb::GroupColumn which form the GROUP BY.
|
|
getHavingClause
| string |
| getHavingClause(); |
- Description
- returns the used HAVING filter.
The HAVING filter criteria returned is part of the HAVING condition of the
select command, but it does not contain the HAVING token.
- Returns
- the filter
|
|
getStructuredHavingClause
| sequence< sequence< ::com::sun::star::beans::PropertyValue > > |
| getStructuredHavingClause(); |
- Description
- returns the currently used HAVING filter.
The HAVING filter criteria is split into levels. Each level represents the
OR criterias. Within each level, the filters are provided as an AND criteria
with the name of the column and the filter condition. The filter condition
is of type string. The operator used, is defined by SQLFilterOperator.
- Returns
- the structured HAVING filter
|
|
getOrder
- Description
- returns the currently used sort order.
The order criteria returned is part of the ORDER BY clause of the
select command, but it does not contain the ORDER BY keyword .
- Returns
- the order
|
|
getOrderColumns
- Description
- returns the currently used sort order.
The order criteria returned is part of the ORDER BY clause of the
select command, but it does not contain the ORDER BY keyword .
- Returns
- a collection of OrderColumn which form the ORDER BY.
|
|
getQueryWithSubstitution
| string |
| getQueryWithSubstitution() |
| raises( |
::com::sun::star::sdbc::SQLException ); |
- Description
- returns the query previously set at the analyzer, with all application-level
features being substituted by their database-level counterparts.
The XSingleSelectQueryAnalyzer is an application-level component,
which in some respect understands SQL features usually not present at the database
level. As a prominent example, you might pass a SELECT statement to the analyzer
which is based on another query.
While all other methods will handle those additional features transparently - e.g.
the query in the FROM part of a SELECT statement will be handled
as if it really is a table -, getQueryWithSubstitution gives you the SQL statement
where all those features have been stripped, and replaced with appropriate standard SQL.
For example, consider a database document which contains a client-side query named All Orders .
This query is not known to the underlying database, so an SQL statement like
SELECT * from "All Orders" would be rejected by the database. However, instantiating
a SingleSelectQueryAnalyzer at the Connection object, and passing it the above query,
you can then use getQueryWithSubstitution to retrieve a statement where "All Orders"
has been replaced with the SELECT statement which actually constitutes the "All Orders"
query.
- Throws
- com::sun::star::sdbc::SQLException
if the query represented cannot be completely substituted. A usual case for this is a recursion in
the sub queries: Consider a query named
foo , which is defined as SELECT * FROM "bar" .
Now assume that bar is a query defined as SELECT * FROM "foo" . Passing either
of those statements to an analyzer, and calling getQueryWithSubstitution, would result
in an exception being thrown, since it's impossible to substitute the sub queries with their
constituting statements.
- Since
- OOo 2.0.4
- See also
- Connection, XQueriesSupplier, DatabaseDocument
|
|
setCommand
| void |
| setCommand( |
[in] string |
Command, |
| [in] long |
CommandType ) |
| raises( |
::com::sun::star::sdbc::SQLException ); |
- Description
- sets a new query for the composer, which may be expanded by filters, group by, having
and sort criteria.
- Parameter Command
- is the command which should be executed, the type of command depends
on the CommandType.
In case of a CommandType of CommandType::COMMAND,
means in case the Command specifies an SQL statement, the inherited
::com::sun::star::sdbc::RowSet::EscapeProcessing
becomes relevant:
It then can be to used to specify whether the SQL statement should be analyzed on the
client side before sending it to the database server.
The default value for ::com::sun::star::sdbc::RowSet::EscapeProcessing
is true. By switching it to false, you can pass backend-specific SQL statements,
which are not standard SQL, to your database.
- Parameter CommandType
- is the type of the command.
- Throws
- com::sun::star::sdbc::SQLException
if a database access error occurs
or the statement isn't a single select statement
or the statement isn't valid
or the statement can not be parsed.
- See also
- CommandType, ::com::sun::star::sdbc::RowSet::EscapeProcessing, CommandType
|
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


# Copyright 2018 MLBenchmark Group. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Transformer model helper methods."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import tensorflow as tf
#_NEG_INF = -1e4
_NEG_INF = -1e9
[docs]def get_position_encoding(
length, hidden_size, min_timescale=1.0, max_timescale=1.0e4):
"""Return positional encoding.
Calculates the position encoding as a mix of sine and cosine functions with
geometrically increasing wavelengths.
Defined and formulized in Attention is All You Need, section 3.5.
Args:
length: Sequence length.
hidden_size: Size of the
min_timescale: Minimum scale that will be applied at each position
max_timescale: Maximum scale that will be applied at each position
Returns:
Tensor with shape [length, hidden_size]
"""
position = tf.to_float(tf.range(length))
num_timescales = hidden_size // 2
log_timescale_increment = (
math.log(float(max_timescale) / float(min_timescale)) /
(tf.to_float(num_timescales) - 1))
inv_timescales = min_timescale * tf.exp(
tf.to_float(tf.range(num_timescales)) * -log_timescale_increment)
scaled_time = tf.expand_dims(position, 1) * tf.expand_dims(inv_timescales, 0)
signal = tf.concat([tf.sin(scaled_time), tf.cos(scaled_time)], axis=1)
return signal
[docs]def get_decoder_self_attention_bias(length):
"""Calculate bias for decoder that maintains model's autoregressive property.
Creates a tensor that masks out locations that correspond to illegal
connections, so prediction at position i cannot draw information from future
positions.
Args:
length: int length of sequences in batch.
Returns:
float tensor of shape [1, 1, length, length]
"""
with tf.name_scope("decoder_self_attention_bias"):
valid_locs = tf.matrix_band_part(tf.ones([length, length]), -1, 0)
valid_locs = tf.reshape(valid_locs, [1, 1, length, length])
decoder_bias = _NEG_INF * (1.0 - valid_locs)
return decoder_bias
[docs]def get_padding(x, padding_value=0, dtype=tf.float32):
"""Return float tensor representing the padding values in x.
Args:
x: int tensor with any shape
padding_value: int value that
dtype: type of the output
Returns:
flaot tensor with same shape as x containing values 0 or 1.
0 -> non-padding, 1 -> padding
"""
with tf.name_scope("padding"):
return tf.cast(tf.equal(x, padding_value), dtype=dtype)
[docs]def get_padding_bias(x, res_rank=4, pad_sym=0):
"""Calculate bias tensor from padding values in tensor.
Bias tensor that is added to the pre-softmax multi-headed attention logits,
which has shape [batch_size, num_heads, length, length]. The tensor is zero at
non-padding locations, and -1e9 (negative infinity) at padding locations.
Args:
x: int tensor with shape [batch_size, length]
res_rank: int indicates the rank of attention_bias.
dtype: type of the output attention_bias
pad_sym: int the symbol used for padding
Returns:
Attention bias tensor of shape
[batch_size, 1, 1, length] if res_rank = 4 - for Transformer
or [batch_size, 1, length] if res_rank = 3 - for ConvS2S
"""
with tf.name_scope("attention_bias"):
padding = get_padding(x, padding_value=pad_sym)
attention_bias = padding * _NEG_INF
if res_rank == 4:
attention_bias = tf.expand_dims(tf.expand_dims(attention_bias, axis=1), axis=1)
elif res_rank == 3:
attention_bias = tf.expand_dims(attention_bias, axis=1)
else:
raise ValueError("res_rank should be 3 or 4 but got {}".format(res_rank))
return attention_bias


Shader
Shaders implement the shadowing process by which the shadow state proxies the actual state. Each Property maintains a shader used for shadowing its associated state property.
The Shader#shadowProperty method is responsible for setting up the Shadow
proxy
for the state.
Shaders are setup through StateType instances associated with Property
objects
and there is rarely a need to directly interact with them.
Static Method Summary
| Static Public Methods | ||
| public static |
addDefault(name: *, shader: *) |
Constructor Summary
| Public Constructor | ||
| public |
constructor(property: *) |
Member Summary
| Public Members | ||
| public |
|
|
| public |
[_automount]: *[] |
|
| public |
|
|
| public |
|
|
| public |
|
|
| public |
|
|
| public |
[_property]: * |
|
| public |
[_shaders]: {} |
Method Summary
| Public Methods | ||
| public |
add(name: *, shader: *, automount: *): * |
|
| public |
addProperty(name: *, stateType: *) |
|
| public |
autoShader(): * |
|
| public |
autoShadow(): * |
|
| public |
|
|
| public |
elementShader(): * |
|
| public |
get(name: *): * |
|
| public |
has(name: *): * |
|
| public |
isAutomount(name: *): boolean |
|
| public |
property(): * |
|
| public |
remove(name: *): * |
|
| public |
setAutomountAll(automount: *) |
|
| public |
setAutoshadow(value: *): * |
|
| public |
setElementShader(shader: *, automount: *): * |
|
| public |
setElementType(stateType: *): * |
|
| public |
shaderFor(name: *, state: *): * |
|
| public |
shadowProperty(time: *, name: *, parentState: *, parentImpl: *): * |
|
| public |
shadowUndefinedProperties(state: *, impl: *, define: *) |
|
| public |
shouldAutomount(): * |
|
| public |
stateType(): * |
Static Public Methods
public static addDefault(name: *, shader: *) source
Params:
| Name | Type | Attribute | Description |
| name | * | ||
| shader | * |
Public Constructors
public constructor(property: *) source
Params:
| Name | Type | Attribute | Description |
| property | * |
Public Members
public [_automountAll]: * source
public [_automount]: *[] source
public [_autoshadow]: * source
public [_elementShaderAutomount]: * source
public [_elementShader]: * source
public [_hasJitProperties]: * source
public [_property]: * source
public [_shaders]: {} source
Public Methods
public add(name: *, shader: *, automount: *): * source
Params:
| Name | Type | Attribute | Description |
| name | * | ||
| shader | * | ||
| automount | * |
Return:
| * |
public addProperty(name: *, stateType: *) source
Params:
| Name | Type | Attribute | Description |
| name | * | ||
| stateType | * |
public setAutomountAll(automount: *) source
Params:
| Name | Type | Attribute | Description |
| automount | * |
public setElementShader(shader: *, automount: *): * source
Params:
| Name | Type | Attribute | Description |
| shader | * | ||
| automount | * |
Return:
| * |
public setElementType(stateType: *): * source
Params:
| Name | Type | Attribute | Description |
| stateType | * |
Return:
| * |
public shaderFor(name: *, state: *): * source
Params:
| Name | Type | Attribute | Description |
| name | * | ||
| state | * |
Return:
| * |
public shadowProperty(time: *, name: *, parentState: *, parentImpl: *): * source
Params:
| Name | Type | Attribute | Description |
| time | * | ||
| name | * | ||
| parentState | * | ||
| parentImpl | * |
Return:
| * |
public shadowUndefinedProperties(state: *, impl: *, define: *) source
Params:
| Name | Type | Attribute | Description |
| state | * | ||
| impl | * | ||
| define | * |


Before Change
// If we don"t have a continuous set of tensor indices, then the tensor indexed part
// goes to the front
if not continuous_tensor_index:
del final_shape[first_tensor_idx]
final_shape.insert(0, tensor_idx_shape)
return torch.Size(final_shape)
After Change
// goes to the front
else:
try:
tensor_idx_shape = _mul_broadcast_shape(tensor_idx_shape, idx.shape)
except RuntimeError:
raise IndexError("Incompatible tensor indices in index - got shapes of {} .".format(
[idx.shape for idx in indices if torch.is_tensor(idx)]
))
if slice_after_tensor_idx:
tensor_idx = 0
// If we don"t have a continuous set of tensor indices, then the tensor indexed part
// goes to the front
if tensor_idx is not None:
final_shape = final_shape[:tensor_idx] + list(tensor_idx_shape) + final_shape[tensor_idx:]
return torch.Size(final_shape)


Glucocorticoid receptor binding in three different cell types in major depressive disorder: lack of evidence of receptor binding defect.
Abstract
1. In order to further understand the apparent glucocorticoid resistance in major depressive disorder, circadian variation in cortisol concentration, dexamethasone suppression and glucocorticoid receptor binding in mononuclear leukocytes, polymorphonuclear leukocytes and cultured skin fibroblasts were measured in rigidly defined major depressive disorder patients and non-depressed psychiatric controls. 2. Mononuclear leukocytes binding to glucocorticoid correlated significantly with polymorphonuclear leukocytes binding to glucocorticoid, but both determinations failed to differentiate major depressive disorder and control subjects. 3. Initial and post-dexamethasone in vitro fibroblast binding to glucocorticoid was not different between major depressive disorder and non-depressed control subjects. 4. The phenomenon of glucocorticoid resistance in major depressive disorder remains unexplained.


{% extends 'navbar.html' %} {% block content %}
Get coaching from the CSS God.
Read books on SRE for free here
Learn how to setup blogging with Flask and GitHub pages


Make sure you are using a recent version of Google Chrome, at the moment this only works with Google Chrome Canary.
Also before you enable microphone input either plug in headphones or turn the volume down if you want to avoid ear splitting feedback!


Triangles
A triangle is a polygon with three edges and three vertices. It is one of the basic shapes in geometry. This web application will aid in determining what type of triangle a user is working with based on the lengths of the three sides.
A triangle is a polygon with three edges and three vertices. It is one of the basic shapes in geometry. This web application will aid in determining what type of triangle a user is working with based on the lengths of the three sides.


HTML5 ImageUploader Example
Jersey resource
Todo List
Input type file (multiple) for image selection
- Javascript unit tests on behaviour of ImageUploader module
- Drag and drop image selection
Client-side image preview in div / img / canvas
- Upload progress bar
Client side resize to specified max width and/or
height using Canvas and bilinear
interpolation
- web workers if supported for client side operations such as
resize algorithm
- XMLHttpRequest2 for file upload with progress status
- Check for required javascript APIs (XMLHttpRequest2 and
FileReader?) in current browser with optional callback for behaviour
- Handle on error of XMLHttpRequest
- Optional timeout in config to trigger on error
The ImageUploader in all its glory!


Emmerdale viewers heartbroken for Lydia as she learns she could have Huntington's disease
Lydia's father died from Huntington's disease
by Charlotte RodriguesViewers of Emmerdale are heartbroken for Lydia Hart as she found out she could possibly have Huntington's disease.
Over the last few months viewers have learnt more about Lydia, including the fact her real name is Jenny Finn.
Viewers know Lydia has suffered a lot of heartbreak in her life.
After being put into care, where she spent a majority of her childhood, at 15 years old she fell pregnant.
But after her baby was 'born sleeping', she buried him in the woods and ran away to Scarborough where she stole the identity of a woman named Lydia Hart.
Recently Lydia found out the £10,000 she was gifted from her mother Agatha.
Read More: Emmerdale SPOILERS: A shock revelation throws Bernice and Liam's wedding into jeopardy
Despite her sister Beth telling Lydia that Agatha died, Mandy found out Agatha was alive and brought her to the village to see Lydia.
As Agatha and Lydia filled in each other on what they had missed, Agatha told her daughter that her father died of Huntington's disease.
Read More: Emmerdale SPOILERS: Kim makes a shocking revaltion
Huntington's disease is a condition that stops part of the brain working properly over time and is inherited from a person's parents.
Hearing that she could have the disease was too much for Lydia and she asked Agatha to leave before breaking down to her fiancé Sam.
Viewers were left heartbroken for Lydia as she received more bad news.
Viewers also praised Lydia actress Karen Blick for her performance.
Emmerdale airs weeknights at 7pm on ITV, with an extra episode at 8pm on Thursdays.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think!


To see the graph in standard analysis frequencies, select "Whole octaves" and set the start frequency to 62.5Hz


Description: The patient selection box appears once a user selects a patient from the patient list. The purpose of the patient selection box is for the user to confirm if the patient that was selected is the correct patient.
508 Guidelines: The patient image should include an alt attribute that says the name of the patient.
| DOB: | 04/07/1935 |
|---|---|
| Age: | 80y |
| Gender: | Male |
| SSN: | 666-00-0008 |
This patient likes to wander around the hospital. Notify the security office
| Initial Assigned Date: | 12/23/2014 16:00 |
|---|---|
| Approved by: | PROGRAMMER,EIGHT |
| Assignment Status: | ACTIVE |
| Owner Site: | CAMP MASTER |
| Originating Site: | CAMP MASTER |

Eight, Patient

This table contains the patient's selected PII; the date of birth, age, gender and social security number.

 DOB:	 04/07/1935

 Age:	 80y

 Gender:	 Male

 SSN:	 666-00-0008

 <button type="button" class="btn btn-default btn-block" title="Confirm this is the patient you want to select.">Confirm Selection</button>

Eight, Patient

WandererCategory II (LOCAL)

This patient likes to wander around the hospital. Notify the security office.

This table contains warning information about the selected patient.

 Initial Assigned Date:	 12/23/2014 16:00

 Approved by:	 PROGRAMMER,EIGHT

 Assignment Status:	 ACTIVE

 Owner Site:	 CAMP MASTER

 Originating Site:	 CAMP MASTER

 <button type="button" class="btn btn-default btn-block" title="Confirm this is the patient you want to select.">Confirm </button>


Manual
Introduction
About OGMO Editor
Getting Started
Starting a New Project
Project Settings
Adding Layers
Adding Entities
Adding Tilesets
Saving a Project
Using the Editor
Saving Levels
Wrapping Up
Tile Layers
Grid Layers
Entity Layers
Decal Layers
Reference
Building from Source
Preparing Node
Preparing Haxe
Building
Development
Packaging
Project Customization
Contributing


Notice: large class size detected
In classes with more than 1000 students, slowness from the Canvas gradebook results in connection timeouts and other not very fun issues when reviewing attempts in Quick Check. For this reason, grading functionality is disabled for large courses when reviewing attempts in Quick Check.
Due at: {{ this.dueAt }}
Starting at {{ this.utilitiesService.formatTimeWithTimeZone(this.responseAttempt.created_at, this.courseContext.time_zone) }}


XSLTPROC
Section: xsltproc Manual (1)Updated: $Date: 2008-04-21 16:28:56 +0200 (Mon, 21 Apr 2008) $
Index Return to Main Contents
NAME
xsltproc - command line XSLT processorSYNOPSIS
- xsltproc [[-V | --version] [-v | --verbose] [{-o | --output} {FILE | DIRECTORY}] | --timing | --repeat | --debug | --novalid | --noout | --maxdepth VALUE | --html | --encoding ENCODING | --param PARAMNAME PARAMVALUE | --stringparam PARAMNAME PARAMVALUE | --nonet | --path "PATH(S)" | --load-trace | --catalogs | --xinclude | [--profile | --norman] | --dumpextensions | --nowrite | --nomkdir | --writesubtree PATH | --nodtdattr] [STYLESHEET] {XML-FILE | -}
DESCRIPTION
xsltproc
xsltproc is invoked from the command line with the name of the stylesheet to be used followed by the name of the file or files to which the stylesheet is to be applied. It will use the standard input if a filename provided is - .
If a stylesheet is included in an XML document with a Stylesheet Processing Instruction, no stylesheet need to be named at the command line. xsltproc will automatically detect the included stylesheet and use it.
By default, output is to stdout. You can specify a file for output using the -o or --output option.
OPTIONS
xsltproc accepts the following options (in alphabetical order):
--catalogs
- Use the SGML catalog specified in SGML_CATALOG_FILES to resolve the location of external entities. By default, xsltproc looks for the catalog specified in XML_CATALOG_FILES. If that is not specified, it uses /etc/xml/catalog.
--debug
- Output an XML tree of the transformed document for debugging purposes.
--dumpextensions
- Dumps the list of all registered extensions on stdout.
--html
- The input document is an HTML file.
--load-trace
- Display all the documents loaded during the processing to stderr.
--maxdepth VALUE
- Adjust the maximum depth of the template stack before libxslt(3) concludes it is in an infinite loop. The default is 3000.
--nodtdattr
- Do not apply default attributes from the document's DTD.
--nomkdir
- Refuses to create directories.
--nonet
- Do not use the Internet to fetch DTDs, entities or documents.
--noout
- Do not output the result.
--novalid
- Skip loading the document's DTD.
--nowrite
- Refuses to write to any file or resource.
-o or --output FILE | DIRECTORY
-
Direct output to the given
FILE. Using the option with a
DIRECTORY
directs the output files to the specified directory. This can be useful for multiple outputs (also known as "chunking") or manpage processing.
Important The given directory must already exist.
Note Make sure that FILE and DIRECTORY follow the lqURI reference computationrq as described in RFC 2396 and laters. This means, that e.g. -o directory will maybe not work, but -o directory/ will.
--encoding ENCODING
- Allow to specify the encoding for the input.
--param PARAMNAME PARAMVALUE
- Pass a parameter of name PARAMNAME and value PARAMVALUE to the stylesheet. You may pass multiple name/value pairs up to a maximum of 32. If the value being passed is a string, you can use --stringparam instead, to avoid additional quote characters that appear in string expressions. Note: the XPath expression must be UTF-8 encoded.
--path "PATH(S)"
- Use the (space- or colon-separated) list of filesystem paths specified by PATHS to load DTDs, entities or documents. Enclose space-separated lists by quotation marks.
--profile or --norman
- Output profiling information detailing the amount of time spent in each part of the stylesheet. This is useful in optimizing stylesheet performance.
--repeat
- Run the transformation 20 times. Used for timing tests.
--stringparam PARAMNAME PARAMVALUE
- Pass a parameter of name PARAMNAME and value PARAMVALUE where PARAMVALUE is a string rather than a node identifier. Note: The string must be UTF-8 encoded.
--timing
- Display the time used for parsing the stylesheet, parsing the document and applying the stylesheet and saving the result. Displayed in milliseconds.
-v or --verbose
- Output each step taken by xsltproc in processing the stylesheet and the document.
-V or --version
--writesubtree PATH
- Allow file write only within the PATH subtree.
--xinclude
- Process the input document using the XInclude specification. More details on this can be found in the XInclude specification: http://www.w3.org/TR/xinclude/
ENVIRONMENT
SGML_CATALOG_FILES
- SGML catalog behavior can be changed by redirecting queries to the user's own set of catalogs. This can be done by setting the SGML_CATALOG_FILES environment variable to a list of catalogs. An empty one should deactivate loading the default /etc/sgml/catalog catalog.
XML_CATALOG_FILES
- XML catalog behavior can be changed by redirecting queries to the user's own set of catalogs. This can be done by setting the XML_CATALOG_FILES environment variable to a list of catalogs. An empty one should deactivate loading the default /etc/xml/catalog catalog.
DIAGNOSTICS
xsltproc return codes provide information that can be used when calling it from scripts.
0
- No error (normal operation)
1
- No argument
2
- Too many parameters
3
- Unknown option
4
- Failed to parse the stylesheet
5
- Error in the stylesheet
6
- Error in one of the documents
7
- Unsupported xsl:output method
8
- String parameter contains both quote and double-quotes
9
- Internal processing error
10
- Processing was stopped by a terminating message
11
- Could not write the result to the output file
SEE ALSO
More information can be found at
- *libxml(3) web page http://www.xmlsoft.org/
- *W3C XSLT page http://www.w3.org/TR/xslt
AUTHOR
John Fleck<EMAIL_ADDRESS>- Author.
COPYRIGHT
Copyright © 2001, 2002
Index
This document was created by man2html, using the manual pages.
Time: 05:29:12 GMT, December 24, 2015


Configuration¶
1.a. New AWS SES Console v2 (preferable)¶
If none created yet, create a new Configuration Set. Log in into Amazon Simple Email Service console.
Go to Configuration sets menu item under Configuration section and click Create set.
Fill Configuration set name and create set.
At Event configuration page click Event destinations and Add destination.
Chose Event types you wish to track and click Next. (Note: Not all events supported yet.)
Under Destination options choose Amazon SNS, fill destination Name. Next create new SNS topic or use existing.
Review and Add destination.
Under Verified identities choose identity you wish to track. Go to Configuration step tab and click Edit.
Check Assign a default configuration set, select Default configuration set you recently created and save changes.
Go to 2. AWS SNS Configuration step paragraph below.
1.b. AWS SES Console v1¶
Go to Amazon Simple Email Service (SES) console. There are 2 ways to configure events publishing. First is to create new Configuration Set. It allows you to track opens and clicks but requires you to pass specific email header X-SES-CONFIGURATION-SET. More about headers configuration: https://docs.aws.amazon.com/ses/latest/DeveloperGuide/event-publishing-send-email.html Second option doesn’t require any changes in your existing app, but cannot track clicks and opens.
First option: Select Configuration Sets menu. Click Create Configuration Set or edit your existing set. Add new SNS Destination, select events to track and create SNS topic.
Second option: Under Identity Management select Domain or Email address and open Notifications tab. Click Edit Configuration and create or select SNS Topic for events you wish to track. Enable Include original headers.
2. AWS SNS Configuration step¶
Next, navigate to Amazon Simple Notification Service (SNS).
Click Topics section and select topic you created before.
Click Create subscription
Add new subscription with HTTP (or HTTPS protocol if configured) and paste WebHook url from
/project/1/edit
SesDashboard project page. Check Enable raw message delivery.


--- layout: post permalink: allworkbenches.html Tags: Array NameOfCoupon: All Work Benches Cash Back Summary: See our All Work Benches Coupon Code, All Work Benches Rebate, All Work Benches Promo Code, All Work Benches Discount, All Work Benches Coupon Cash Back Rebate here. MetaKeywords: All Work Benches Coupon Code, All Work Benches Rebate, All Work Benches Promo Code, All Work Benches Cash Back Rebate, All Work Benches Discount, All Work Benches Coupon Image: images/PJ-4079.gif LinkURL: http://www.pntra.com/t/8-4013-54128-41358 affiliate_url_link: http://www.icouponblog.com/jane.php?id=3532 thesis_readmore: See the All Work Benches Coupon thesis_thumb: http://www.icouponblog.com/tn.php?merchantURL=allworkbenches.com Title: Save 4% - All Work Benches Coupon Code for allworkbenches.com. All Work Benches Rebate & Discount thesis_description: Our All Work Benches Discount Coupon Code for allworkbenches.com. We have the best All Work Benches Rebate anywhere. thesis_keywords: All Work Benches, All Work Benches Coupon Code, All Work Benches Discount, All Work Benches Rebate product_name: All Work Benches hop_url: http://www.icouponblog.com/hop.php?id=3532 ---
If you like tools, equipment and the sound of a drill gives u the ultimate high, you will love www.allworkbenches.com. It is the perfect place to find the workbench you dream about. Put all your tools in great order and carve, cut, drill, weld, glue, work away. www.allworkbenches.com carries the ultimate bench that will suit your need, style, taste and budget. Check it out online. Visit www.allworkbenches.com and use our discount coupons to get a great price.
There is a great variety of workbenches available. You can easily choose one that suits you. There are also a great selection of work bench equipment like tool boxes, stack on 18 drawer storage bin, bucket caddies, peg board, tool totes, work bench stools and lots more. If you like to make things and fix things and work around the house, you will love allworkbenches.com. You can find workbenches made of aluminum, wood, steel and plastic laminate. www.allworkbenches.com is the place to visit. You can find workbenches that have adjustable heights, is portable, and has drawers for easy storage. There are all high quality products available at very affordable prices.
www.allworkbenches.com is the best place to buy high quality and low priced workbenches that will meet your requirements. You can choose from garage workbenches, electronic workbenches and industrial workbenches. You can also get pegboards and much more. Make that doll house, that birdhouse, put up those shelves etc. You will love the workbenches that www.allworkbenches.com carries. Use our coupons to really make a deal!


{% extends "default.html" %} {% block container %}
Your private message link is <IP_ADDRESS>:5000/msg/{{link}}
IMPORTANT: if you loose your link and/or your key, you will not be able to recover your message!


{% from 'page_navigation.html' import topNavigation,footer %} {{ topNavigation(X, user, permissions, control) }}
{{data.nameEntries.0.original}}
{{data.nameEntries.0.original}}
Connection Graph
Names
Movement
Relationships:
Degree:
1
2
3
Show less
Show more
{{ footer(X, user, permissions, control) }}


| endpoint | verb | payload | response | description |
|---|---|---|---|---|
| /sample | GET | none | [ { id: 1, author: Scott, ... }, { ... } ] | Array of sample posts. |
| /login | POST | {username: username, password: password } | { username: :user, result: "success"} | log in to server, resisters session id and hash |
| /logout | PUT | none | OK | log out of server, clears session id |
| /register | POST | { username: username, email:email, zipcode:zipcode, password:password} | { result: 'success', username: username} | Register a new user with the system. This is not functional, new users cannot log in. |
| /posts/:id | GET | :id is a user id or a post id | [ { id: 1, author: Scott, ... }, { ... } ] | A requested post, osts by the requested user if :id is specified, or array of posts in the loggedInUsers feed |
| /posts/:id | PUT | :id is a post id { body: message, commentId: optional } |
[ { id: 1, author: Scott, ..., comments: [ ... ] } ] | Update the post :id with a new body if commentId is not supplied. Forbidden if the user does not own the post. If commentId is supplied, then update the requested comment on the post, if owned. If commentId is -1, then a new comment is posted with the body message. |
| /post | POST | { body: message, img: <file> } | [ { id: 1, author: Scott, ..., comments: [] } ] | Add a new post for the loggedInUser, date and id are determined by server. Optional image upload -- see below. |
| /statuses/:users | GET | none :users is a comma separated list of user names |
[ {username:Scott, status:Happy}, { ... } ] | Get the statuses for multiple users |
| /status | GET | none |
[ {username:Scott, status:Happy}, { ... } ] | Get the status for the currently logged in user |
| /status | PUT | { status: Happy } | {username: Scott, status: Happy } | Update the status for the loggedInUser |
| /following/:user | GET | :user is an optional user id. Defaults to loggedInUser | { username: :user, following: [ userids ]} | get the list of users being followed by the requested user |
| /following/:user | PUT | :user is a user id. | { username: :user, following: [ userids ]} | add :user to the following list for the loggedInUser |
| /following/:user | DELETE | :user is a user id. | { username: :user, following: [ userids ]} | remove :user to the following list for the loggedInUser |
| /email/:user | GET | :user is a user id | { username: :user, email: emailAddress } | get the email address for the requested user | PUT | { email: newEmailAddress } | { username: loggedInUser, email: newEmailAddress } | update the email addres for the loggedInUser |
| /zipcode/:user | GET | :user is a user id | { username: :user, zipcode: emailAddress } | get the zipcode for the requested user | /zipcode | PUT | { zipcode: newZipCode } | { username: loggedInUser, zipcode: newZipCode } | update the zipcode for the loggedInUser |
| /locations/:user | GET | :user is a user id | { username: :user, location: locationObject } | Returns the { lat:, lng: } of the requested user. |
| /locations | PUT | { lat: latitude, lng: longitude } | { username: :user, location: locationObject } | Updates the lat+lng of the loggedInUser |
| /picture/:user | GET | :user is a user id | { username: :user, picture: pictureURL } | get the picture address for the requested user | /picture | PUT | { img: <file> } | { username: loggedInUser, picture: pictureURL } | Update the picture address for the loggedInUser. See below | /password | PUT | { password: newPassword } | { username: loggedInUser, status: 'will not change' } | would update the password for the loggedInUser. But instead just gives message that password will not change. I.e., you can't change your password, sorry. |
To upload a picture we first need to have the user select a file. For example we could have a file input on our page:
<input type="file" accept="image/*" onchange="angular.element(this).scope().vm.setFile(this)" >
Note that the file input doesn't play well with Angular. So we include an onchange directive to execute the setFile()
method of our controller. That method takes in the element. Look at the member variables of that element, you'll find the file there.
In fact it's a complete file object with size and other useful information.
Now we need to do the upload. We're using $resource
and need to make a small modification for the uploading of the file. The server expects json, so we need to make our request with a different content-type. In fact, we want it to be auto generated based on the payload. In our api declaration have this:
$resource(... upload: { method: 'POST', headers: { 'Content-Type': undefined }, transformRequest: resourceUploadFile, params: { ... } } })
What does this do? This sets the header to be automatically
determined by the payload. The transformRequest does some processing for us. When we call api.upload()
we will supply it with our payload. Perhaps that looks like:
api.upload({ body: postBody, img: postImage })
See we'll be using the same "style" of upload for both the picture (avatar) upload as well as the post upload. In one case body is empty. We transform this json into form data to send to the server.
function resourceUploadFile(data) { var fd = new FormData() fd.append('image', data.img) fd.append('body', data.body) return fd; }
The keys in the form data are very important: they are what the sever is looking for. So whereas you can change the names "data.img" and "data.body" you need the form to have "image" and "body" in order for your post or for your avatar upload to succeed. You'll get an error message from the server otherwise.
With this you should be able to upload your avatar images and make posts with imbedded images


EMPOWER YOURSELF
A PLACE TO SHARE KNOWLEDGE
Facts
10 Best
- In Japan, you can hire a handsome man to watch sappy movies with you and wipe away your tears.
- The Hawaiian alphabet has 13 letters.
- Switzerland eats the most chocolate equating to 10 kilos per person per year.
- The only continent with no active volcanoes is Australia.
- The brand Nokia is named after a place in Southern Finland.
- Brazil covers 50% of the South American continent.
- Almost a third of worlds languages are spoken in Africa.
- Almost one-half of world & s diamonds come from central and southern Africa.
- Lake Victoria in Africa is the largest lake and second largest freshwater lake in the world.
- Despite of having natural resources, Africa is the poorest and underdeveloped continent.
- Melbourne, Australia
- Vienna, Austria
- Vancouver, Canada
- Toronto, Canada
- (tie) Calgary, Canada
- (tie) Adelaide, Australia
- Perth, Australia
- Auckland, New Zealand
- Helsinki, Finland
- Hamburg, Germany


+++ title = "San Pedro de Atacama" lat = -22.910000 lon = -68.200000 +++
A small oasis town in the middle of Chile's Atacama desert (the driest place on Earth), San Pedro de Atacama is a tiny place with a lot of tourists. It has nearby attractions such as sandboarding on the desert dunes, and seeing the Valle de la Luna (Moon Valley). I did the popular route of reaching San Pedro from Bolivia (it's quite close to the border), after finishing my tour of the Salar de Uyuni.


Hello
Posted: Sat Feb 17, 2007 5:16 pm
I'm joining this project a lot later then I intended too. Looking at everything though I'm not sure where to begin.
There is no master to-do list that I've seen, unless it's on the private forum, in which case do you have to donate in order to see that?
The sticky threads and the welcome threads are minimally helpful and confusing.
So far it's difficult for new people to join this project. If this remains the trend of organizing information on this project, you could fall into the same pattern in gameplay and thus alienate new players who have not been with the project or game from inception.
There is no master to-do list that I've seen, unless it's on the private forum, in which case do you have to donate in order to see that?
The sticky threads and the welcome threads are minimally helpful and confusing.
So far it's difficult for new people to join this project. If this remains the trend of organizing information on this project, you could fall into the same pattern in gameplay and thus alienate new players who have not been with the project or game from inception.


--- layout: post title: 上善若水 date: 2010-09-28 06:30:51.000000000 +09:30 type: post published: true status: publish categories: - Thinking tags: [] meta: posturl_add_url: 'yes' _edit_last: '1' views: '731' ---


Examples
Certificate request generation
Certificate importing
Self-signed certificate generation
Provider items receiving
Sign/verify message


Union(aBox)
Returns a new box containing the 2d union of the receiver and aBox.
containsPoint(aPoint)
Returns true if aPoint is within the receiver's bounds, false otherwise.
copy(aBox)
Copies the values of aBox to the receiver.
depth
Same as; size z
height
Same as; size y
intersectsBox(aBox)
Returns true if aBox is within the receiver's bounds, false otherwise.
origin
Returns the point object for the origin of the box.
print
Prints a string representation of the receiver to the standard output.
set(origin, size)
Copies the values in origin and size to set the box's origin and size.
setOrigin(aPoint)
Copies the values in aPoint to the box's origin point.
setSize(aPoint)
Copies the values in aPoint to the box's size point.
size
Returns the point object for the size of the box.
width
Same as; size x
|


Our Company
eGlobal Solutions is a technology and IT-enabled services company based in Pasig City, Metro Manila, Philippines. We started as a small seat lease space for call center start-ups trying to establish themselves as a company. Since then eGlobal Solutions has expanded its services by offering automated software systems and integrated solutions. We are a company that is passionate about our people and the success of our clients.
Our Team
Chapter too parties its letters nor. Cheerful but whatever ladyship disposed yet judgment. Lasted answer oppose to ye months no esteem.
Branched is on an ecstatic directly it. Put off continue you denoting returned juvenile. Looked person sister result mr to. Replied demands charmed do viewing ye colonel to so.
Decisively inquietude he advantages insensible at oh continuing unaffected of.
Working with us
eGlobal Solutions has a fundamentally different understanding of workplace, company, and team dynamics.
We create teams that naturally adapts to different markets and to tailor fit solutions that the client needs for their business.
Our vision is to make an impact in the digital industry as the leading technology solutions for businesses.
Outsourcing to the Philippines
Businesses can reduce the cost of operations by outsourcing to the Philippines. It is a country with one of the lowest costs of living and occupancy rates compared to its western counterparts.
See general few civilly amiable pleased account carried. Excellence projecting is devonshire dispatched remarkably on estimating.
Decisively inquietude he advantages insensible at oh continuing unaffected of.


Tome of Mastering
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[[getExpandGroupButtonLabel_(alertGroup, showingTriaged)]]
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[[alertGroup.triaged.count]]
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[[selectedCount_(alertGroup)]]
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[[alert.bugId]]
ignored
[[alert.bugId]]
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[[alertRevisionString_(alert)]]
|
[[breakWords_(alert.testSuite)]]
|
[[breakWords_(alert.measurement)]]
|
[[alert.master]]
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[[alert.bot]]
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[[breakWords_(alert.testCase)]]
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expand file- Convert tabs to spaces, reading from standard input:
expand- Do not convert tabs after non blanks:
expand -i file- Have tabs a certain number of characters apart, not 8:
expand -t=number file- Use comma separated list of explicit tab positions:
expand -t=list


Order for<EMAIL_ADDRESS>Define plugin license
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Enter payment details
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By clicking the 'Confirm Purchase' button above, you agree to our Terms of Service.
Currently you have 0 active license for<EMAIL_ADDRESS>Finalize this request
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WITNESS LIST State Affairs Committee March 13, 1997-1:30P SB 214 Registering, but not testifying: For: Cobb, L. Dean (Forum Ins. Co.), Austin Howden, Robert (NFIB/Texans), Austin Hull, Cordell (Natl. Assn Altern Staff), Austin Miller, Scott (Houston Industries), Austin SB 259 For: Bowling, Lysia (Self), Temple Eubank, Max (Self), Ft. Worth Harrison, Eddie (Roof Contract Assn), Ft. Worth Henry, Mark (State Farm Insurance), Plano MacKenzie, John (Self), San Antonio Against: Schulle, Jr., Gerhardt (TX Soc of Pro Engineers), Austin On: McEachern, Dede (TDLR), Austin Yuhr, Michael (TDLR), Austin SB 454 For: Valentini, D. Gene (So Plains Assc. of Gov), Lubbock SB 509 Registering, but not testifying: For: Sherbet, Bruce (TX Assn of Elect Admin), Dallas SB 513 On: McGeehan, Ann (Sec of State - Elec Div), Austin Registering, but not testifying: For: Mendez, Mark (Tarrant County), Ft. Worth Sherbet, Bruce (TX Assc Elec Admin), Dallas On: Misko, Mary Kay (Bexar Co Commiss Ct.), San Antonio SB 665 For: Fisher, Scott (TX Petro Mktrs), Austin On: Soward, Larry (TX Dept. of Agriculture), Austin SB 681 For: Harris, David (FT Worth Transp Author), Ft. Worth O'Connor, Patrick (Natl Assc of Fleet Admi), Washington,D.C. Ratliff, Charles (Frito-Lay), Dallas Stegink, Lisa (Engine Manufac Assc), Chicago Against: Mauro, Garry (Self), Austin Moore, Jim (Lone Star Gas), Dallas Thompson, Wade (Amer Lung Assn of TX), Austin Walker, John (STAR Shuttle), San Antonio Registering, but not testifying: For: Dahier, Erik (J.A. Metrol. Transit), San Antonio Graydon,Galt (Dallas Ar Rapid Transit), Austin Hull, Sharon (Metrop. Transit Author), Austin Igo, Shanna (TX Municipal League), Austin Miksa, Mary (TX Assc Bus & C of C), Austin Plaster, Michael (TX Transit Assc), Austin Rogers, Johnnie (TX Propane Gas Assc), Austin Webb, Bill (TX Motor Tras. Assn), Austin SB 721 For: Burgess, Anita (City of Lubbock), Lubbock Forte, Debra (City of Lubbock), Lubbock Registering, but not testifying: For: Igo, Shanna (TX Municipal League), Austin SB 827 On: Cowan, Andrea (Comptrollers Office), Austin SB 828 On: Cowan, Andrea (Comptrollers Office), Austin Registering, but not testifying: On: McDaniel, Carol (TX Workforce Comm), Austin SB 935 For: Blackwood, Dr. Susan (SA Sports Foundation), San Antonio Block, George Jr. (SA Sports Foundation), San Antonio Diller, John (San Antonio Spurs), San Antonio Hartman, Greg (San Antonio Spurs), Austin Leonard, Erik (Peop for Sens Sports), Houston West, Mary Nan (SA Livestock Expo), San Antonio Registering, but not testifying: For: Castaneda, Tristan (Grt. SA C of C), Austin Hockempos, Jon (San Antonio Spurs), Austin Linson, Joe (SA Sports Federation), San Antonio Martin, Keith (Self), San Antonio Naranjo, Dan (SA Sports Federation), San Antonio Rivera, Tony (SA Hispanic C of C), San Antonio Against: Blanton, Tom (TX Auto Dealers Assn), Austin SB 944 For: Chea, Charlie (Chinatown), Houston Eury, Robert (Central Houston, Inc.), Houston Kollaer,_Jim (Greater Houston Partshp), Houston Lanier, Bob (Mayor, City of Houston), Houston Pearce, Louis, Jr. (Houston Livestock Show), Houston Against: Ebeling, John (Enterprise Rent-a-Car), Houston Grimes, John (Enterprise Rent-a-Car), Irving Hansen, Don (TX Hotel & Motel Assn), Austin Horn, Douglas (American Hospitality), Houston Klein, Barry (Hous Property Rights), Houston Leonard, Erik (Peop for Sens Spt Facil), Houston Robertson, John Jr. (Self), Houston Rosentraub, Mark (CATRALA), Indianapolis Spinnato, Joseph (TX Hotel & Motel Assn), New York Wasiak, Mark (Hous Hotel & Motel Assn), Houston Registering, but not testifying: For: Eckels, Robert (Harris County Judge), Houston Jackson, Charles (Central Houston, Inc.), Houston Messer, Raymond (Moore & Associates), Houston Miller, Robert (Astrodome USA), Houston Ogg, Jack (Pace Management), Houston Strong, George (Theater Dist. of Houst), Houston Against: Blanton, Tom (TX Auto Dealers Assn), Austin Cox, Sharon (Holiday Inn, Houston), Houston Elsner, John (Gtr Hous Hotel/Mot Assc), Houston Felice, Mike (La Quinta Hotels), Houston Massad, Nick (Amer Lib Hospitality), Houston Parks, Bill (Gal-TX Hotel), Houston Roberts, Pat (La Quinta Hotels), Houston SCR 32 Registering, but not testifying: For: Joiner, Gary (TX Farm Bureau), Austin On: Bell M'Lou Patton (General Land Office), Austin SJR 14 Registering, but not testifying: For: Cobb, L. Dean (Forum Insurance Co.), Austin Howden, Robert (NFIB/Texas), Austin Hull, Cordell (Natl Assn Altern Staff), Austin Miller, Scott (Houston Industries), Austin


|
Use this method if you can say directly what the costs and benefits are of each of the potential outcomes of your
the decisions you will make. For example, the cost of a false positive, the benefit of a true positive.
|
Use this method if there is a stochastic element to the impacts of the actions you will take based on the
model predictions. For example, you will try to intervene to prevent a customer from churning when they are predicted to.
However, you will have to estimate the likelihood that the intervention will succeed.
|


See and search all orders here or at the government website.
| Order ID | Date | Chapter | Bill | Department |
|---|---|---|---|---|
| {{order['id']}} | {{ order['pub_date'] }} | {{ order['chapter'] }} | {{ order['bill'] }} | {{ " ".join( order['departments'] ) }} |
| Act | {% for act in order['acts'] %} {{ act }} {% endfor %} | |||
| Precis | {{ order['precis'] }} | |||
| Attachments | {% for url in order['attachment_urls'] %} {{ loop.index }} {% endfor %} | |||
| Registration | Registration ID: {{ order['reg_id'] }} Registration Date: {{order['reg_date'] }} | |||
If you want access to the raw data underlying OpenOrders we have provided a raw dump and a CSV dump (~11mb) of the database updated once a quarter.
We have two api endpints for your use.


Sony Android What
Sony confirms Android 10 update for Xperia 1, Xperia 5, and more
In total, eight of Sony's phones are getting Android 10.
by Philip BerneWhat you need to know
- Sony Mobile announced plans to upgrade the Xperia 1 and Xperia 5 to Android 10 by end of 2019.
- Other Xperia phones, including the XZ3 and Xperia 10, will be upgraded in 2020.
- Notable exceptions include the XA2 lineup and the Xperia XZ flagship from 2017.
In the annual struggle for third-party manufacturers to upgrade legacy devices to Google's latest Android 10 operating system, Sony Mobile has posted a blog detailing its upgrade intentions.
After exclaiming that owners looking for upgrades will find "all the news you're waiting for," Sony Mobile offers immediate upgrade intentions for the Xperia X1 and recently announced Xperia X5 — both of which will get Android 10 in December 2019.
In "early 2020 onwards", Sony will then issue Android 10 to the following handsets:
- Xperia 10
- Xperia 10 Plus
- Xpiera XZ2
- Xperia XZ2 Compact
- Xperia XZ2 Premium
- Xperia XZ3
That's a fine lineup, but it's too bad Sony isn't updating any of its XA budget devices — including the XA2 and XA2 Ultra that were just released in 2018. Also missing is the company's Xperia XZ flagship from 2017.
Tall Sony
Sony Xperia 1
The tallest phone in town.
The Xperia 1 nails all of the essentials, with blisteringly fast performance and three excellent cameras. The extra-tall display takes some getting used to, but its 4K HDR technology is unmatched. The Xperia 1 should see an Android 10 upgrade this year.
We may earn a commission for purchases using our links. Learn more.


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🎭 Arya's Art Manager 🎭
Wines Movies NPR Tiny Desks TV Shows Books GitHub ->
+-------------------------------------------------------+
| |
| TV SHOWS |
| |
+-------------------------------------------------------+
- todo
- The Wire Season 1
- Avatar the Last Airbender Book 1 Water
- Rick and Morty Season 4
- Avatar the Last Airbender Book 2 Earth
- Avatar the Last Airbender Book 3 Fire
- Succession Season 1
- Avatar the Legend of Korra Book 1 Air
- Avatar the Legend of Korra Book 2 Spirits
- Avatar the Legend of Korra Book 3 Change
- Avatar the Legend of Korra Book 4 Balance
- Watchmen Season 1
- Over the Garden Wall
- Succession Season 2
- Better Call Saul Season 3
- Fargo Season 4
- The Queen's Gambit
- Kill La Kill
- True Detective Season 1
- Full Bloom


Check out the content carefully crafted by your fellow colleagues. If you feel like resting, here you can find many free games for all ages! If you feel like studying, browse useful content that will make your life easier! If you find a game or anything
that you like, please leave us a comment and share it with your friends!


Smart Kitchen Solutions
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Usage Statistics
This is the list of containers you currently have.
Item
Container ID
Current weight(gm)
Tur Dal
500097892E60
350
Moong Dal
500097892F61
20
Salt
520097892E62
450
Sugar
500097892F61
160


class MyActor extends Actor {
def receive = {
case "test" => println("received string: test")
case s: String => println(s"received string: $s")
case Person(name, age) => println(s"received $name of who is $age years old")
case _ => println("received unknown message")
}
}
Interacting with Actors
val myActor = system.actorOf(Props(new MyActor(constructorParam)))
// Tell
myActor ! "test" // Send string
myActor ! "any string" // Send string
myActor ! Person("kal", 37) // Send Person
// Ask
implicit val timeout = Timeout(5 seconds)
val person: Future[Person] = (myActor ? "select * from person;").mapTo[Person]
Don't block actors - (full mail boxes)
class BlockingExample extends Actor {
def receive = {
case 'Request ⇒
... some long waiting process
}
}
Ask Example
class AskExample(otherActor: ActorRef) extends Actor {
implicit val dispatcher = context.dispatcher
implicit val timeout = Timeout(5 seconds)
def receive = {
case 'Request ⇒
val result: Future[Person] = (otherActor ? "select * from person;").mapTo[Person]
result.onComplete {
case Success(person) ⇒ println(s"Person is $person")
case Failure(e) ⇒ println(s"oh no: $e")
}
context stop self
}
}
Tell Example
class TellExample(otherActor: ActorRef) extends Actor {
implicit val dispatcher = context.dispatcher
def receive = {
case 'Request ⇒
otherActor ! "select * from person;"
context become waitingResponse
// Schedule timeout
context.system.scheduler.scheduleOnce(5 seconds, self, new Exception("timed out"))
}
def waitingResponse: Receive = {
case person: Person ⇒
println(s"Person is $person")
context stop self
case e ⇒
println(s"oh no: $e")
context stop self
}
}
Example
akka.actor.deployment {
/parent/router1 {
router = round-robin-pool
nr-of-instances = 5
}
}
val router: ActorRef = context.actorOf(FromConfig.props(Props[Worker]), "router1")
Resizable
akka.actor.deployment {
/parent/router1 {
router = round-robin-pool
resizer {
lower-bound = 2
upper-bound = 15
messages-per-resize = 100
}
}
}
Cluster example where the router creates actors in the cluster to do work
Messages
final case class StatsJob(text: String)
final case class StatsResult(meanWordLength: Double)
final case class JobFailed(reason: String)
Worker to count characters in each word
class StatsWorker extends Actor {
var cache = Map.empty[String, Int]
def receive = {
case word: String =>
val length = cache.get(word) match {
case Some(x) => x
case None =>
val x = word.length
cache += (word -> x)
x
}
sender() ! length
}
}
StatService - recieve text, split into words, sends to workers
class StatsService extends Actor {
val workerRouter = context.actorOf(FromConfig.props(Props[StatsWorker]),
name = "workerRouter")
def receive = {
case StatsJob(text) if text != "" ⇒
val words = text.split(" ")
val replyTo = sender() // important to not close over sender()
// create actor that collects replies from workers
val aggregator = context.actorOf(Props(
classOf[StatsAggregator],
words.size,
replyTo))
words foreach { word ⇒
workerRouter.tell(
ConsistentHashableEnvelope(word, word), aggregator)
}
}
}
Aggregation - average counts from all workers
class StatsAggregator(expectedResults: Int, replyTo: ActorRef) extends Actor {
var results = IndexedSeq.empty[Int]
context.setReceiveTimeout(3 seconds)
def receive = {
case wordCount: Int ⇒
results = results :+ wordCount
if (results.size == expectedResults) {
val meanWordLength = results.sum.toDouble / results.size
replyTo ! StatsResult(meanWordLength)
context.stop(self)
}
case ReceiveTimeout ⇒
replyTo ! JobFailed("Service unavailable, try again later")
context.stop(self)
}
}
So nothing cluster specific as yet
Cluster Singleton Manager Started on each node
system.actorOf(ClusterSingletonManager.props(
singletonProps = Props[StatsService],
singletonName = "statsService",
terminationMessage = PoisonPill,
role = Some("compute")),
name = "singleton")
Proxy - keeps track of singleton - StatsService Started on each node
system.actorOf(ClusterSingletonProxy.props(
singletonPath = "/user/singleton/statsService",
role = Some("compute")),
name = "statsServiceProxy")
Router configuration
akka.actor.deployment {
/singleton/statsService/workerRouter {
router = consistent-hashing-pool
nr-of-instances = 100
cluster {
enabled = on
max-nr-of-instances-per-node = 3
allow-local-routees = on
use-role = compute
}
}
}
Event Bus
class AppActorEventBus extends ActorEventBus with LookupClassification {
...
protected def classify(event: Event): Classifier = {
event.channel
}
protected def publish(event: Event, subscriber: Subscriber): Unit = {
subscriber ! event
}
}
Subscribe to Events
val system = ActorSystem("MySystem")
val appActorEventBus = new AppActorEventBus
val subscriber = system.actorOf(Props(new Actor {
def receive = {
case event: MessageEvent ⇒ println(event.message)
}
}))
appActorEventBus.subscribe(subscriber, "/posts/new")
appActorEventBus.publish(MessageEvent("/posts/new", "hello world"))
PULLIING it all together
...


| DOSE: |
20 mg |
oral |
2C-T-7 |
(liquid) |
One Friday when my fiancée went to spend the night with her mother to do wedding crafts, I decided to use the time wisely. I usually don't trip around her except something comparatively weak like 5-MeO-DiPT that we can both enjoy in one way or another.
When My .25 G arrived I had placed it in a very fine dropper bottle that was picked up a local science shop. A mere 20 ML which is broken down to 750 drops in the dropper bottle. This means very accurate dosage. Three drops = 1 MG.
At 9:30 PM I ingested 20 Mg. Of 2C-T-7 on an empty stomach. The funny thing was that I felt a bit high before I even ingested it. I guess I was really ready for this and it was just anticipation. I had a very positive feeling and I guess I was bursting at the seams with it. I had read most of the trip reports and being experienced with other Phenethylamines and Tryptamines, I got busy putting the final touches in place. I had read one report where the author asked people to be careful, as some people are very sensitive to this chemical. I didn't think I would be one of them.
9:47 PM The first effect was just 17 minutes into it and it was a very mild trail. It seemed to be hitting me faster than most other people
10:15 PM I was in a very pleasant and dreamy mood. I was really getting up there. There was the sound of a couple in the alley having a disagreement. I felt disinterested as I was in a very mellow mood. The open eye visuals were very pronounced now. Trails were very distinct and yet blurred at the same time. Huge auras were coming of the candles in different colours. I felt warmer than I should even though it was the end of July.
10:30 PM By now, I now knew I was in for a rough night. I went to get something to drink. The Gatorade tasted more plastic than usual. I had the ' Oh No What have I done ' feeling that I have only had once before.
10:37 PM My fiancée called to say goodnight. I think I handled it OK but noticed that I was mumbling a bit. I slowed down and let her take the conversation.
11:00 Approx. When the peak it came on very fast and within a few minutes I was in another world. I realized that this was going to be a somewhat spiritual trip. But there was also a disassociation.
THE PEAK. There is no use giving you times here because time ceased to exist for me. I went into the bedroom to lie down and was quite overcome by what was happening. I think I was a little shaky as I left the bedroom to go to urinate (in the bathroom I think). I went to the sunroom with my thoughts swirling as fast as the colours. I lay down on the sunroom floor and felt the cool night air wash and clean my body.
I tried to meditate by was overcome by the trip. All I could do was to do deep breathing. At one point I found myself deep in prayer to the creator of the universe (I'm pagan but prayer is close enough) I was quite awed by the fact that there are so many people, each with a chance to improve themselves on the Karmic wheel. I found this experience to be a spiritual advantage.
What I notice in retrospect is the difference between this and Psilocybin mushrooms, which I have a much closer affinity for. I was always ' me ' with mushrooms. The mushrooms gave me an insight in which I can improve myself even through all the alien landscapes and with complete ego loss, the quintessential me was always there no matter how strange things got or how ' out of body ' or ' dead ' I was. With the 2C-T-7 there were periods where I did not exist.
I think that at the proper dose that this could be a great sexual stimulant. Even though I was alone I could see where this could useful, though I would suggest a much lower dose.
4:30 AM I start to notice that the trip might be past the peak, but I'm still flying. The trails that I'm seeing are almost a parody of acid trails. I try to drink a glass of wine that I bought to help with the comedown. What a joke!!! Even if it didn't stick in my throat I doubt that it would have helped.
5 ish AM I was really hungry all of a sudden. I usually don't eat when on Entheogens but I decide to give it a shot. I was amazed by how good the food tasted. I was smart and didn't eat too much. But it gave me a bit of strength.
8:30 AM I fell asleep for a few hours around this time but woke up for no reason. When I woke up what did see. #^%&%&$ trails again.
I went to the in-laws for supper that evening and I was ok if a little tired, but my soon to be father in law waves his arms sometimes when he talks, and I could see mild trails 22 hours after I first took my 20 MG pf 2CT7.
Summary:
This is a very strong Psychedelic substance that is more comparable to Mescaline than anything else. Treat this with respect as if you don't you will pay a price.If you are thinking of trying this I have two pieces of advise.
1. Measure the dose carefully as things can get out of hand even at low doses. Use the dropper measuring technique for dosing accuracy.
2. Make sure you don't eat for at least 8 hours before ingestion. Longer is better.
I will do 2C-T-7 again but at a much smaller dose. Maybe 5 to 8 MG and see where that takes me. I found the after effect positive and that my 'soul' had renewed strength. I still prefer organic psychedelics but this was a positive event in a time where there will be many changes to my life soon.
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.