LILYSONG(1) User Commands LILYSONG(1) NAME lilysong - manual page for lilysong 2.14.2 SYNOPSIS lilysong [-p PLAY-PROGRAM] FILE.xml [LANGUAGE-CODE-OR-VOICE [SPEEDUP]] lilysong FILE.ly [LANGUAGE-CODE-OR-VOICE] lilysong --list-voices lilysong --list-languages OPTIONS --version show program's version number and exit -h, --help show this help message and exit --list-voices list available Festival voices --list-languages list available Festival languages -p PROGRAM, --play-program=PROGRAM use PROGRAM to play song immediately SEE ALSO The full documentation for lilysong is maintained as a Texinfo manual. If the info and lilysong programs are properly installed at your site, the command info lilysong should give you access to the complete manual. lilysong 2.14.2 February 2013 LILYSONG(1)


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/Algebraic.20closure.20Roadmap.html ---
I have written a new algebraic closure roadmap that covers the refactoring that needs to be done before algebraic closure is merged
What do you think about putting it in mathlib in the wiki pages? https://leanprover.zulipchat.com/#narrow/stream/116395-maths/topic/Future.20projects.20as.20Wiki.3F
I will have more to say about your general question in the other topic later, but this kind of planned refactoring is best as an issue on Github, I think.
FYI, this paper just popped up for me on Google Scholar: Algebraically Closed Fields in Isabelle/HOL. It cites @Chris Hughes 's roadmap and @Kevin Buzzard.
That's actually @Kenny Lau 's roadmap
Oh, oops, sorry Kenny!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Earthquake-like brain-wave bursts found to be essential for healthy sleep
Findings link healthy sleep to brain-wave bursts that mathematically mimic earthquakes
| Source: | PLOS |
| Summary: | New research in rats shows that cortical arousals and brief awakenings during sleep exhibit non-equilibrium dynamics and complex organization across time scales necessary for spontaneous sleep-stage transitions and for maintaining healthy sleep. |
New research in rats shows that cortical arousals and brief awakenings during sleep exhibit non-equilibrium dynamics and complex organization across time scales necessary for spontaneous sleep-stage transitions and for maintaining healthy sleep. Prof. Plamen Ch. Ivanov of Boston University and colleagues present these findings in PLOS Computational Biology.
Sleep is traditionally considered to be a homeostatic process that resists deviation from equilibrium. In that regard, brief episodes of waking are viewed as perturbations that lead to sleep fragmentation and related sleep disorders. While addressing aspects of sleep regulation related to consolidated sleep and wake and the sleep-wake cycle, the homeostatic paradigm does not account for the dozens of abrupt sleep-stage transitions and micro-states within sleep stages throughout the night. Ivanov and colleagues hypothesized that, while sleep is indeed homeostatic at time scales of hours and days, non-equilibrium dynamics and criticality underlie sleep micro-architecture at shorter time scales.
To test this hypothesis, the researchers collected electroencephalogram (EEG) recordings of brain activity over multiple days in normal rats and in rats with injuries to the parafacial zone, a brain region that helps regulate sleep. They analyzed the bursting dynamics of brain activity patterns known as theta waves and delta waves, which are seen in both sleeping rats and humans.
Their empirical findings and modeling indicate that arousals from sleep are a manifestation of an intrinsic non-equilibrium sleep regulatory mechanism related to self-organization of neuronal assemblies. This mechanism acts at time scales of seconds and minutes and stays on track via continuous bursts in brain wave rhythms.
The study also suggests that maintaining a non-equilibrium critical state is essential for the sleep-regulation system's flexibility to spontaneously activate multiple transitions between different sleep stages and between sleep and brief wakefulness throughout the sleep period. Such critical state is also necessary for the complex sleep micro-architecture that is increasingly recognized to be characteristic of healthy sleep. The observed critical behavior in sleep draws parallels to other non-equilibrium systems at criticality, such as earthquakes.
"Paradoxically, we find that the 'resting' state of healthy sleep is maintained through bursts in cortical rhythm activity that obey similar temporal organization, statistics, and mathematical laws as earthquakes," Ivanov says. "Our findings serve as building blocks to better understand sleep, and could help improve detection and treatment of sleep disorders."
make a difference: sponsored opportunity
Story Source:
Materials provided by PLOS.
Note: Content may be edited for style and length.
Journal Reference:
- Jilin W. J. L. Wang, Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet, Plamen Ch. Ivanov. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLOS Computational Biology, 2019; 15 (11): e1007268 DOI: 10.1371/journal.pcbi.1007268
Cite This Page:
| MLA | PLOS. "Earthquake-like brain-wave bursts found to be essential for healthy sleep: Findings link healthy sleep to brain-wave bursts that mathematically mimic earthquakes." ScienceDaily. ScienceDaily, 14 November 2019. <www.sciencedaily.com/releases/2019/11/191114141237.htm>. |
| APA | PLOS. (2019, November 14). Earthquake-like brain-wave bursts found to be essential for healthy sleep: Findings link healthy sleep to brain-wave bursts that mathematically mimic earthquakes. ScienceDaily. Retrieved November 17, 2019 from www.sciencedaily.com/releases/2019/11/191114141237.htm |
| Chicago | PLOS. "Earthquake-like brain-wave bursts found to be essential for healthy sleep: Findings link healthy sleep to brain-wave bursts that mathematically mimic earthquakes." ScienceDaily. www.sciencedaily.com/releases/2019/11/191114141237.htm (accessed November 17, 2019). |


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| class | advantages | disadvantages | minimal resources | algorithm |
|---|---|---|---|---|
{@link numericalMethods.algebra.linear.decompose.LR}
|
· very fast · no additional resources · when successful gives determinant |
· does not decompose all regular matrices · no control on condition of triangular matrices |
· one matrix |
Gauss |
{@link numericalMethods.algebra.linear.decompose.PLR}
|
· fast · no additional resources · gives determinant |
· no control on condition of triangular matrices |
· one matrix · one vector |
Gauss with pivoting |
{@link numericalMethods.algebra.linear.decompose.QR}
|
· triangular matrix has never worse condition than original matrix · gives ||determinant|| |
· not very fast · sometimes not good-natured |
· two matrices |
Gram-Schmidt |
{@link numericalMethods.algebra.linear.decompose.Householder}
|
· always good-natured · few additional resources · works on non-square matrices (more rows than columns) · gives determinant |
· not very fast |
· one matrix · one vector · one temporary vector |
Householder |


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Python is a popular, interpreted, high-level programming language which is widely used. Python is a general-purpose programming language hence, python-based projects are used for developing both desktop and web applications.
A Java project contains source code and related files for building a Java program. It has an associated Java builder that can incrementally compile Java source files as they are changed. A Java project also maintains a model of its contents.
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Lest provides two functions for vectorised conditional recoding of variables. case_when()
enables you to vectorise multiple if
and else
statements (like CASE WHEN
in SQL). if_else()
is a stricter and more predictable version of base::ifelse()
that preserves attributes (and therefore works with Dates). The functions in lest are forks of the dplyr functions of the same name.
Use this package if you like the semantics of dplyr::case_when()
, but do not want to use dplyr because of the dependencies it comes with. If you already use dplyr in your project, you gain no advantage from lest. lest::case_when()
and lest::if_else()
behave exactly identical to the dplyr equivalents, just that they do not support tidyeval syntax (like !!!
).


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We are unable to accept any returns or exchanges on perishable (edible) goods and hygenic products such as baby care products sold at Organic Start.
The products that we offer on our website are considered highly sensitive as they are either fed or used on babies of all ages. Inorder to protect the integrity of our inventory, returns and exchanges are not permitted for these products.
Parents may return or exchange clothes, accessories or Powder Nests up to 14 days after recieving the product. We are unable to accept any returns or exchanges for any products after 14 days.
Claims for products damaged during transit are also accepted up to 3 days after recieving an order.


I am a Graduate student at University of West Florida. Big Data, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing are some of my research interest. Coding is my passion. I try to do clean code when I'm coding.
Data Science, Data Mining, Big Data, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.
Current GPA: 3.96
GPA: 3.32
This Research Project undergoing under Dr. Thomas Reichherzer.
This Research Project undergoing under Dr. Sikha Bagui.


PICTURES: Over 100 SADA tricycles burnt in WA
by MyNewsGHOver 100 tricycles belonging to the defunct Savannah Accelerated Authority (SADA) now Northern Development Authority (NDA) have been burnt in Wa, the Upper West Regional capital.
The tricycles that have been abandoned in the open at the controller fuel station, were reported to have been burnt on Monday morning according to MyNewsGh.com sources.
It is believed to have been caused by wild fire in view of the impending dry season accompanied by the harmattan winds and took fire fighters several hours to bring the inferno under control but most of them were burnt beyond repairs.
Sale of tricycles
The Northern Development Authority started the sale of tricycles that were purchased under the defunct Savannah Accelerated Development Authority (SADA).
The tricycles were procured to support the youth but have been left to rot.
In 2015, the defunct Savannah Accelerated Development Authority signed a public-private partnership agreement with Unik Savannah limited for the procurement of 5,000 tricycles at a cost of 9,500,000 dollars.
This initiative was aimed at alleviating the high level of poverty in the then SADA operational zone.
However, these initiatives were fraught with challenges.
Out of the 5,000 tricycles that were imported, 3,000 were assembled, 2,239 were sold, leaving 732 tricycles under the mercy of harsh weather conditions, resulting in a depreciation of up to 60% according to the latest valuation of the State Transport Company Limited
CEO of the Northern Development Authority Dr. Abdul Majeed Haroun stated that out of GH¢33,649,200 expected from the sale of the tricycles, only GH¢1,258,271 payment have been made by beneficiaries.
“Out of the total of GH¢33, 649, 200 expected from the sale of the tricycles, only a woeful GH¢1,258,271 payments have been made by beneficiaries (i.e. under 4%) leaving an outstanding balance of GH¢32,390,929. This 96% loss totaling over eight million dollars to an Economic Zone that the UNDP in their 2018 Human Welfare study acknowledge as the poorest in Ghana is unfortunate and constitutes a serious financial loss to the state,” he said.
Source:MyNewsGh.com/Stephen Zoure/2019


My Name is Andrew Albrecht. I am a Full Stack Web Developer currently living in Austin, Texas. I graduated from University of Texas at Austin with a major in Spanish Linguistics. Learning languages has been a fascination of mine since I was young, which led me to programming.
Recently I completed UT Austin's Web Development Bootcamp, which was dedicated to designing and building web applications. I am currently seeking employment as a full stack or front end web developer. See my resume here
Technolgies Used: Ajax JavaScript, Jquery, HTML, CSS, Firebase
We've designed ProTrip to be your perfect road trip companion. Let us know where you plan on taking your next pit stop and we will do the rest. No matter how far you are from your next city, we will give you the information you need right now to make that next stop the best one yet.
Link to GitHub Repository
Close ProjectTechnolgies Used: Ajax, Javascript, HTML, CSS, Bootstrap
We wanted to create a simple generator to help users quickly find the exact GIF they are thinking of. MovieQuoteGif is an API Javascript Jquery application that allow the user to search for their favorite GIFs while also allowing the users to search for a specific GIF by simply adding a quote (or keyword) in the quote section. The user is also able to favorite and download GIFs straight to their device with just one click.
Link to GitHub Repository
Close ProjectTechnolgies Used: React, Bootstrap, Javascript
My first React app, Clicky Game, is a simple memory game. Once you click on a character, the cards randomize, and you cannot click that same character again. See if you can remember which characters you choose!
Link to GitHub Repository
Close ProjectTechnolgies Used: Express, Node, Bootstrap, Javascript
Friend Finder matches users with their closest friend matches based off ten survey questions that they answer. Friend Finder is a full stack app that is implemented using a Node.js and Express server on the back end and the Bootstrap CSS framework on the front end.
Link to GitHub Repository
Close ProjectTechnolgies Used: Jquery, HTML, CSS, Bootstrap
A Star Wars (with a dash of Space Balls) based RPG that uses jQuery to dynamically update the HTML through different change events.
Link to GitHub Repository
Close ProjectTechnolgies Used: Javascript. MongoDB, Express, React, Mongoose
A minimal journaling app that guides users through daily, weekly, and monthly self-reflections. Intentionally minimal. Incredibly powerful.
Link to GitHub Repository
Close Project


| Total net profit | -5.59 | Gross profit | 68.45 | Gross loss | -74.04 |
| Profit factor | 0.92 | Expected payoff | -0.11 | ||
| Absolute drawdown | -31.03 | Maximal drawdown (%) | 37.25 (598.87%) | ||
| Total trades | 53 | Profit trades (% of total) | 23 (43.4%) | Loss trades (% of total) | 30 (56.6%) |
| Long positions (won %) | 31 (45.16%) | Short positions (won %) | 22 (40.91%) | ||
| Largest | profit trade | 11.61 | loss trade | -11.66 | |
| Average | profit trade | 2.98 | loss trade | -2.47 | |
| Minimum | profit trade | 0.03 | loss trade | -0.05 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | -165.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | -154.5 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | -105.3 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 7172 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 1583.6 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 6 | |
| Maximum | consecutive wins (profit in money) | 5.0 (22.84) | consecutive losses (loss in money) | 9.0 (-22.51) | |
| Average | consecutive wins | 2.0 | consecutive losses | 3.0 |
| Total net profit | 10.52 | Gross profit | 55.5 | Gross loss | -44.98 |
| Profit factor | 1.23 | Expected payoff | 0.34 | ||
| Absolute drawdown | -30.41 | Maximal drawdown (%) | 36.33 (613.68%) | ||
| Total trades | 31 | Profit trades (% of total) | 14 (45.16%) | Loss trades (% of total) | 17 (54.84%) |
| Largest | profit trade | 11.61 | loss trade | -11.66 | |
| Average | profit trade | 3.96 | loss trade | -2.65 | |
| Minimum | profit trade | 0.03 | loss trade | -0.09 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | -165.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | -153.5 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | -105.3 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 5556.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 1515.7 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 6.0 | |
| Maximum | consecutive wins (profit in money) | 4.0 (20.96) | consecutive losses (loss in money) | 10.0 (-36.33) | |
| Average | consecutive wins | 2.0 | consecutive losses | 2.0 |
| Total net profit | -16.11 | Gross profit | 12.95 | Gross loss | -29.06 |
| Profit factor | 0.45 | Expected payoff | -0.73 | ||
| Absolute drawdown | -16.11 | Maximal drawdown (%) | 17.37 (1378.57%) | ||
| Total trades | 22 | Profit trades (% of total) | 9 (40.91%) | Loss trades (% of total) | 13 (59.09%) |
| Largest | profit trade | 3.78 | loss trade | -9.9 | |
| Average | profit trade | 1.44 | loss trade | -2.24 | |
| Minimum | profit trade | 0.3 | loss trade | -0.05 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | -158.4 | |
| Average | take profit in pips | 0.0 | stop loss in pips | -155.9 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | -132.6 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 7172.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 1679.4 | |
| Minimum | Reward-Risk | Duration in minutes | 6.0 | ||
| Maximum | consecutive wins (profit in money) | 2.0 (1.71) | consecutive losses (loss in money) | 4.0 (-5.11) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |


Note: This is not an exauhstive list, and entries may be missing or incomplete.
yargs-reference
Generate markdown/html reference for a yargs powered CLI app
| Option Name | Description | Type | Required | Default Value |
|---|---|---|---|---|
| debug | Show debug messages in console | boolean | false | false |
| output | Output format (Choices: [md,html]) | string | false | md |
| target | Directory to wrote the reference file to | string | false | ./docs |
| overwrite | Overwrite existing reference file if it already exists | boolean | false | false |
| quiet | Suppress rendered output, will still ouput error messages | boolean | false | false |
| silent | Suppress all output, error code indicated result | boolean | false | false |
| hidden | Document hidden commands | boolean | false | false |


{% extends "layout.html" %} {% block page_title %} GOV.UK prototyping kit {% endblock %} {% block content %} Back Sludges from washing and cleaningHow was the waste disposed of? deposit into or onto land, e.g. landfill incineration on land use principally as a fuel or other means to generate energy other disposal method {% endblock %}


Get the absolute value of the given number.
Get the absolute value of the given number. If the number is Int.MinValue return 0. This is different from java.lang.Math.abs or scala.math.abs in that they return Int.MinValue (!).
Turn a properties map into a string
Create a circular (looping) iterator over a collection.
Create a circular (looping) iterator over a collection.
An iterable over the underlying collection.
A circular iterator over the collection.
Compute the CRC32 of the segment of the byte array given by the specificed size and offset
Compute the CRC32 of the segment of the byte array given by the specificed size and offset
The bytes to checksum
the offset at which to begin checksumming
the number of bytes to checksum
The CRC32
Compute the CRC32 of the byte array
Compute the CRC32 of the byte array
The array to compute the checksum for
The CRC32
Create a file with the given path
Create a file with the given path
The path to create
The created file
If the file create fails
Create an instance of the class with the given class name
Print an error message and shutdown the JVM
Print an error message and shutdown the JVM
The error message
Create a daemon thread
Create a daemon thread
The name of the thread
The runction to execute in the thread
The unstarted thread
Create a daemon thread
Create a daemon thread
The name of the thread
The runnable to execute in the background
The unstarted thread
Create a daemon thread
Create a daemon thread
The runnable to execute in the background
The unstarted thread
Returns a list of duplicated items
Test if two byte buffers are equal.
Test if two byte buffers are equal. In this case equality means having the same bytes from the current position to the limit
Turn plain java.util.Properties
with default values into a plain java.util.Map
.
Turn plain java.util.Properties
with default values into a plain java.util.Map
. Following example
illustrates difference from the cast
val defaults = new Properties() defaults.put("foo", "bar") val props = new Properties(defaults) props.getProperty("foo") // "bar" props.get("foo") // null evaluateDefaults(props).get("foo") // "bar"
properties to evaluate
new java.util.Map instance
Group the given values by keys extracted with the given function
Compute the hash code for the given items
Execute the given function inside the lock
Read a properties file from the given path
Read a properties file from the given path
The path of the file to read
Create a new thread
Create a new thread
The work for the thread to do
Should the thread block JVM shutdown?
The unstarted thread
Create a new thread
Create a new thread
The name of the thread
The work for the thread to do
Should the thread block JVM shutdown?
The unstarted thread
Throw an exception if the given value is null, else return it.
Throw an exception if the given value is null, else return it. You can use this like: val myValue = Utils.notNull(expressionThatShouldntBeNull)
Is the given string null or empty ("")?
Open a channel for the given file
Parse a comma separated string into a sequence of strings.
Parse a comma separated string into a sequence of strings. Whitespace surrounding the comma will be removed.
This method gets comma separated values which contains key,value pairs and returns a map of key value pairs.
This method gets comma separated values which contains key,value pairs and returns a map of key value pairs. the format of allCSVal is key1:val1, key2:val2 .... Also supports strings with multiple ":" such as IpV6 addresses, taking the last occurrence of the ":" in the pair as the split, eg a:b:c:val1, d:e:f:val2 => a:b:c -> val1, d:e:f -> val2
Read some bytes into the provided buffer, and return the number of bytes read.
Read some bytes into the provided buffer, and return the number of bytes read. If the channel has been closed or we get -1 on the read for any reason, throw an EOFException
Read a byte array from the given offset and size in the buffer
Read the given byte buffer into a byte array
Attempt to read a file as a string
Read a big-endian integer from a byte array
Read some properties with the given default values
Translate the given buffer into a string
Translate the given buffer into a string
The buffer to translate
The encoding to use in translating bytes to characters
Read an unsigned integer from the given position without modifying the buffers position
Read an unsigned integer from the given position without modifying the buffers position
the buffer to read from
the index from which to read the integer
The integer read, as a long to avoid signedness
Read an unsigned integer from the current position in the buffer, incrementing the position by 4 bytes
Read an unsigned integer from the current position in the buffer, incrementing the position by 4 bytes
The buffer to read from
The integer read, as a long to avoid signedness
Register the given mbean with the platform mbean server, unregistering any mbean that was there before.
Register the given mbean with the platform mbean server, unregistering any mbean that was there before. Note, this method will not throw an exception if the registration fails (since there is nothing you can do and it isn't fatal), instead it just returns false indicating the registration failed.
The object to register as an mbean
The name to register this mbean with
true if the registration succeeded
Replace the given string suffix with the new suffix.
Replace the given string suffix with the new suffix. If the string doesn't end with the given suffix throw an exception.
Recursively delete the given file/directory and any subfiles (if any exist)
Recursively delete the given file/directory and any subfiles (if any exist)
The root file at which to begin deleting
Recursively delete the list of files/directories and any subfiles (if any exist)
Recursively delete the given file/directory and any subfiles (if any exist)
Recursively delete the given file/directory and any subfiles (if any exist)
The root file at which to begin deleting
Wrap the given function in a java.
Wrap the given function in a java.lang.Runnable
A function
A Runnable that just executes the function
Get the stack trace from an exception as a string
Do the given action and log any exceptions thrown without rethrowing them
Do the given action and log any exceptions thrown without rethrowing them
The log method to use for logging. E.g. logger.warn
The action to execute
Unregister the mbean with the given name, if there is one registered
Unregister the mbean with the given name, if there is one registered
The mbean name to unregister
Write the given long value as a 4 byte unsigned integer.
Write the given long value as a 4 byte unsigned integer. Overflow is ignored.
The buffer to write to
The position in the buffer at which to begin writing
The value to write
Write the given long value as a 4 byte unsigned integer.
Write the given long value as a 4 byte unsigned integer. Overflow is ignored.
The buffer to write to
The value to write
General helper functions!
This is for general helper functions that aren't specific to Kafka logic. Things that should have been included in the standard library etc.
If you are making a new helper function and want to add it to this class please ensure the following: 1. It has documentation 2. It is the most general possible utility, not just the thing you needed in one particular place 3. You have tests for it if it is nontrivial in any way


This project aims to digest tweets data using Twitter API. The raw data is then sorted based on language: Spanish and not Spanish Tweets Data.
PDF LinkThis project aims to split the data into multiple *.xlsx files based on certain criteria which can be further processed by a data scientist.
PDF LinkThis program aims to explore information from the Movie Dataset using Apache Pig / Tez found on the Hortonworks Data Platform.
GitHub LinkThis dashboard aims to find insight about Covid-19 Data on the US. I display death per capita, new cases in linear and logaritmic trend, new deaths with cumulative cases, and also growth cases with 7-day moving average cases. Also, I provide the table with respect to the states.
Google Data Studio LinkThis code is used as an example to Extract, Transform, and Load (ETL) using PySpark.
GitHub LinkThe use of Python scripts to produce data for Kafka Producer using a fake pizza-based dataset to then be pushed into the Kafka Topic.
Medium LinkOne way to store data in a non-relational form such as tweets from Twitter is to store it with non-relational databases such as MongoDB or Cassandra. On this occasion, the author will demonstrate how data storage Apache Kafka receives and then saves to MongoDB using the help of the pymongo package.
Medium LinkThis program is used to find the right model for the stroke healthcare dataset.
Kaggle LinkThis program is used to find the right model for the Telecomunication dataset.
Kaggle LinkThis program is used to find the right model for the bankruptcy model.
Kaggle LinkThis project is a project that aims to determine whether someone can be given a loan or not. The program begins with the process of checking null data in the dataset, the process of replacing the null values with new values, checking for duplicate data. Then, to improve the prediction performance, the use of label encoding technique is used. Then by using a variety of models (Logistic Regression, Random Forest Classification, XGBoost), XGBoost is found to be the best model with an accuracy level of up to 80%.
Kaggle Link MediumThis program is a program that aims to determine house prices with several parameters using linear regression. This program is preceded by data cleansing. After cleaning, the data is then examined for the correlation between one parameter and another using the Pearson method. After determining which parameters will be predicted, the data is then trained using linear regression, Lasso, ElasticNet, K-Neighbors-Regressor, Gradient Boosting Regressor. The models are then validated to see the accuracy of the models and the resulting predictions.
Kaggle LinkThis program is a program that aims to determine house prices with several parameters using linear regression. This program is preceded by data cleansing. After cleaning, the data is then examined for the correlation between one parameter and another using the Pearson method. After determining which parameters will be predicted, the data is then trained using linear regression, Lasso, ElasticNet, K-Neighbors-Regressor, Gradient Boosting Regressor. The models are then validated to see the accuracy of the models and the resulting predictions.
Kaggle LinkThis program is an image recognition program using a convolutional neural network. Image detects an edge using sets of mathematical methods such as 2D convolution, Max Pooling collected in a sequential. Then, this form of training data is optimized using the Poisson function as a loss function. Then, the sequential and loss functions are compiled and implemented into the data set we have. The model is then evaluated by calculating the level of accuracy.
Kaggle LinkThis model detects the use of a face image wearing a mask using an artificial neural network architecture using ResNet50V2, MobileNetV2, and Xception which are models that have been trained in the early stages. To specify the model in a specific purpose, it is necessary to carry out a process called hyper-tuning in which the model is trained to recognize facial images using masks or not. The results obtained are the validation values for the ResNet50V2 and Xception methods have better accuracy values compared to MobileNetV2. Even so, there is a trade-off where MobileNetV2 has a faster training speed than the other two methods.
Preprint LinkThis program analyzes the sentiment related to the conversation on the Twitter timeline when the investment case scandal was being carried out and masterminded by Jouska. From these results, it can be seen that the timeline considers this issue as a negative issue.
GitHub LinkThis program analyzes sentiment related to conversations on the Twitter timeline about the performance of the Minister of Health in July 2020. From the figure above, it can be seen that sentiment regarding Minister Terawan is in a positive position.
GitHub LinkThis program predicts a person's salary based on parameters such as working class, age, education, occupation, etc. This program includes data wrangling, modeling, and validation processes. This model managed to occupy the 15th position out of a total of 420 people who participated in this competition.
GitHub LinkThis program is a program created to complete courses in Dicoding Indonesia. This program models the hand symbols on which the model is trained using 1314 total training data and 874 test data. The data is then forwarded into a sequential model consisting of layers of artificial neural networks. This network takes the form of a mathematical operation used to detect edges. The resulting accuracy rate for this model is at 97.54%
GitHub LinkThis program is used to classify tweets into 5 classifications: Extremely Negative, Negative, Neutral, Positive, and Extremely Positive. This code is useful for understanding the public's perception of a particular event.
Kaggle LinkIn general, there are two frameworks that are commonly used by data scientists to gather information and create models from raw data. Commonly used methods include the Cross-industry Standard Process for Data Mining (CRISP-DM) and Obtain, Scrub, Explore, Model, and Interpret (OSEMN) Framework. I will explain the use of CRISP-DM and its use directly in the program that has been created.
Medium LinkThe Naïve Bayes Classifier uses the probability method as the statistical basis it uses. For example, we have frame data regarding a text whether it is talking about sports or not.
Medium LinkRidge Regression is a regular form of linear regression. The cost function or commonly known as the loss function is a function used to find parameters in regression. This parameter can be taken by minimizing it so that the parameter θ is obtained. This is used as a statistical basis for the Ridge Regression method.
Medium LinkIn general, the classification method of logistic regression is to create a probability boundary. If there is a value that exceeds this probability, the model will assume that the value is in the positive class (classified to 1). However, if a value is less than this probability, then the value is in the negative class (or we classify it to a value of 0).
Wordpress LinkOne of the tools that are relied upon and used to perform classification is AdaBoost. AdaBoost is one of the oldest tools available using the boosting method. One of the algorithms used is to combine various insignificant classifiers into one very strong classifier.
Wordpress LinkLinear regression is a basic statistical tool for predictive analysis.
Wordpress LinkThis program was created to calculate the decay time of Uranium 235. In addition, it calculates the engine rounding value as well as the correct grating width for this simulation.
GitHub LinkThis program is made to calculate the speed of a racing athlete if the power value is known. The general formulation that we can then discretise into a form that is computationally easy to solve so that the speed is obtained according to the defined constraints along with the parameters.
GitHub LinkThis program is designed to see the effect of several numerical methods (Euler, Euler-Cromer, and Verlet) to calculate a pendulum motion by taking into account the accuracy of the program.
GitHub LinkThis program is designed to simulate the Governing Equation for E and H (1 Dimension) and calculate Hx, Hy, Dz, and Ez (3 Dimension).
GitHub LinkThis program is designed to solve various problems using Monte-Carlo and Random Walks. One of the problems solved using Monte Carlo is calculating the value of Pi. Meanwhile, the problem that is solved using the Random Walk is finding a solution to an equation.
GitHub LinkThis program is designed to calculate a movement of electrons in 1-dimensional NaCl crystals using the help of the Lennard-Jones potential using Matlab.
GitHub LinkThis program is designed to calculate the ribbon structure of various materials using the Julia programming. The results of this program are then compared with similar programs, namely Abinit and VaSP.
Link


function exists(pattern-or-property)
Returns true if a match for the pattern exists in the graph, or the property exists in the node, relationship or map.
Arguments:
MATCH (n) WHERE EXISTS(n.name) RETURN n.name AS name, EXISTS((n)-[:MARRIED]->()) AS is_married


If necessary, specify the target bytecode versions for individual modules (for example if they should differ from that set for the project configs by Project bytecode version).


| DOSE: T+ 0:00 |
1 Tbsp |
oral |
Nutmeg |
(ground / crushed) |
| T+ 2:00 |
2.5 Tbsp |
oral |
Nutmeg |
(ground / crushed) |
| T+ 5:30 |
.5 Tbsp |
oral |
Nutmeg |
(ground / crushed) |
My story begins shortly after I'd run out of weed. In an attempt to ward off the withdrawals until I could re-supply, I began looking for natural, 'homemade' highs, and, to my great surprise, stumbled upon nutmeg. Yes, nutmeg, the cheap, available, and legal spice used in pies and cookies. Naturally, I had to try it out.
Working off various accounts from the Internet, I decided to try a smaller dose to start, as I was both unsure of the effects and, incidently, it was all I had in the pantry. In total, I ingested approximately 2 tbsp. the first night, mixing the vile-tasting powder with milk. As it were, the pre-ground powder proved quite insoluble, and merely floated to the top, but I managed to choke it down.
The result? A persistent headache, some minor visual distortion, and a distinct sense of disappointment. I experienced no euphoria or hallucinations of any kind, nor did I feel particularly sedated. The only good outcome of the experiment was a sense of peacefulness the next morning, which persisted till about noon. Fortunately, just as there was no 'nutmeg high', there was also no 'nutmeg hangover', and I felt normal again by the afternoon.
Though disappointed, I had felt something that night, albeit weak, so I resolved to try again. Purchasing more pre-ground nutmeg, I again attempted to achieve a marijuana-like high. Here's the play-by-play:
0:00 – It's 5:00 pm, Thursday. I start slow, downing 1 tbsp. of nutmeg. This time, rather than trying to mix the powder with liquid, I merely downed 'hits' of nutmeg in half-tablespoon increments with juice (apple, then orange), a sip of juice, the powder, another sip, then swallow. Certainly not a method for the faint-hearted.
1:00 – Watching TV. The headache begins to return, 'nutmeg burps' start. No visual distortions yet, nor any particular sense of sedation or euphoria.
2:00 – It's now about 7:00 pm. Still feeling nothing aside from the headache, I ingest an additional 2½ tbsp.
3:00-8:00 – Visual distortions begin. These take the form of a general 'fuzziness', similar to that experienced when binge drinking. Things objects take on a shimmering quality. My eyes begin to feel warm during this time, also, but only take on a pinkish hue rather than the full-blown redness associated with dope. I also begin to feel mildly sedated. During this time, I am at first working on digital images, then playing a rather slow-paced computer game, listening to music the entire time. None of these activities seem any more enjoyable than they usually would be.
5:30 – At this point, 10:30 pm, I decide that the dosage was insufficient, and take an addition ½ tbsp. This brings the total to 4 tbsp. since 5:00 pm. Nutmeg burps have since stopped, but begin again, briefly.
8:00 – From 1:00 to about 2:15 am, I decide to try watching TV, hoping for some evidence of a marijauna-like high. The various shows I watch are funny, but I find them only as funny as I would watching them sober.
9:15 – Dissappointed, I decide to go to bed. I listen to music at first, but find my persistent headache growing more intense, so I shut it off. I also feel somewhat nauseous now, something that hadn't occurred until that point.
9:45 – Now 2:45 am, something unexpected happens, my heart rate increases, and the nutmeg arguably 'kicks in'. The visual distortions, which could be described as a purplish, shimmering haze in the dark, begin to intensify, taking on a swirling, whirlpool-like aspect. My mind, which had been clear and unaffected to this point, begins racing, much like it would when smoking hippie-grass, but less intense. I feel a mild sense of panic at times, mainly due to concern over my increased heart rate, but these feelings are easily controlled by conscious effort. During this time, I also experience a number of 'waking dreams', each lasted from a few seconds to a few minutes before I snapped back to consciousness.
10:30 – It's now 3:30 am, and I, having waited a surprisingly swift 45 minutes since beginning to feel any significant effects from the nutmeg, decide that the sense of euphoria is not going to materialize, and so go to bed. I fall asleep within minutes.
15:00-18:00 – I manage about 4½ hours of solid sleep before waking at around 8:00 am. After this, I sleep and wake somewhat fitfully until about 11:00 am, roused several times by dreams I can no longer remember.
18:00 – At about 11:00 am, I wake again, switching between disorientation and clarity, sleep and wakefulness for about an hour. My mouth is quite pasty during this time.
19:00 – Noon. Though I'm still tired, I decide I won't get any rest in my current disoriented state, so I elect to get up. My mind begins to clear once I start moving.
Presently – It's now about 3:00 pm. I still have a mild headache (the one thing that's persisted throughout this experience), and my vision still has the shimmering-hazy quality to it, albeit less intense than last night. I don't have the same sense of peacefulness I did yesterday, I but I do feel a mild sense of 'detachment'. All of these feelings have been steadily diminishing since I got up.
To conclude, I was quite disappointed with the results of this little experiment. It's clear that the dosage I took was insufficient for a person of my size and/or with my chemical tolerance. That said, I probably won't try it again, or at least not often, as I feel the risks of trying to find an effective-yet-tolerable dosage are too great. Plus, the taste is worse than death itself.
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.


---
layout: default
title: Git Commands - Git clone Command, git clone to set up a existing git repository in your local system.
description: Git clone Command, git clone to set up a existing git repository in your local system.
keywords: git clone, git commands, git init, git stash.
---
Git clone (
git clone
) Command
git clone is for taking repository into your local system into a new empty directory or it will create a new directory with same name as report git repository name
git branch -r
and also checkout the default branch of the reporitory genreally master branch, it also create a references to the remote branch heads under refs/remotes/origin and by initializing remote.origin.url and remote.origin.fetch configuration variables, this configuration is easily available by the command git remote -v
Examples
git clone https://github.com/username/reporistory_name.git
git@github.com:username/reporistory_name.git
The https://
clone URLs are available on all repositories, public and private. These URLs work everywhere--even if you are behind a firewall or proxy. In certain cases, if you'd rather use SSH, you might be able to use SSH over the HTTPS port.git clone
is used to create a clone / copy of the required repository.


Good practice to migrate into a stable process
Meterpreter has migration scripts available to the meterpreter


Bootstrap includes a powerful mobile-first flexbox grid system for building layouts of all shapes and sizes. It's based on a 12 column layout and has multiple tiers, one for each media query range. You can use it with Sass mixins or our predefined classes.
Equal-width
Setting one column width
Variable width content
Equal-width multi-row
All breakpoints
Stacked to horizontal
Mix and match
Vertical alignment
Horizontal alignment
No gutters
Column wrapping
Column resets
Flex order
Offsetting columns


Letter to BS: SC's Ayodhya judgment is a perfectly convincing one
If the evidence is not quite clear cut, the principle that the judge has to follow in civil cases is the preponderance of probability
by Business StandardThis refers to “Awaiting real closure” (November 11). It is well established in the law of evidence that it is only in criminal cases that the evidence required is to establish beyond a reasonable doubt. In civil cases, the evidence required is only by preponderance of the evidence. It is often that the judge has to persuade himself to lean on one side as opposed to the other. If the evidence is not quite clear cut, the principle that the judge has to follow in civil cases is the preponderance of probability. The opposite can never be true. We cannot enter here what evidence the five judges of the Supreme Court considered as preponderant in favour of the conclusion that the disputed land was used more by one side rather than the other. On principle, the judgment is perfectly legal and convincing.
Sukumar Mukhopadhyay via email
Letters can be mailed, faxed or e-mailed to:
The Editor, Business Standard
Nehru House, 4 Bahadur Shah Zafar Marg
New Delhi 110 002
Fax:<PHONE_NUMBER>1 ·
E-mail<EMAIL_ADDRESS>All letters must have a postal address and telephone number


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Olympic Corporation operates in the Grocery stores sector. In addition to historical fundamental analyses, the complete report available to purchase compares Olympic with three other companies in this sector in Japan: Maxvalu Tohoku Company Limited (2012 sales of 91.97 billion Japanese Yen [US$1.17 billion] of which 35% was Processed Foods), Aoki Super Company Limited (88.56 billion Japanese Yen [US$1.13 billion] of which 100% was Retail), and Daikokutenbussan Company Limited (97.60 billion Japanese Yen [US$1.24 billion] ).
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Lost Souls * * 1/2 (out of * * * * )
Directed by Janusz Kaminski. Cast: Winona Ryder, Ben Chaplin, John Hurt, Philip Baker Hall, Elias Koteas, Sarah Wynter, Alfre Woodard, John Diehl. 2000 - 94 minutes Rated R (for profanity and violence). Reviewed by Dustin Putman, October 14, 2000.
The "World-In-Jeopardy-By-Satan" genre has gone into overplay in the last couple years, offering viewers so many vague variations on the same subject that it has long-since grown tiresome. Acquiring a shooting gallery of pop-religious mumbo-jumbo, it seems present-day producers who grew up with the spooky likes of 1968's "Rosemary's Baby" and 1973's "The Exorcist" have no idea how to write a believable, involving story. Look no further than 1999's "Stigmata," 1999's "End of Days," and 2000's "Bless the Child" to find pure rubbish disguised as something more stylized and intellectual.
"Lost Souls," the directorial debut of brilliant cinematographer Janusz Kaminski (1999's "Saving Private Ryan"), is the latest entry in the "end of the world" cinematic sweepstakes, and, surprisingly enough, it is a stylish and purely adult psychological thriller that pays respect, rather than tarnishes, its worlds-of-old predecessors.
Winona Ryder stars as Maya Larkin, a Catholic school teacher who has devoted her life to religion and helping others ever since she was possessed by a demonic spirit several years before. As the film opens, she is called upon by Father Lereaux (John Hurt) to act as an assistant in an exorcism he plans to perform on family-man-turned-serial-killer Henry Birdson (John Diehl). Although they fail to save Henry, Maya does uncover a series of numbers Henry wrote, and after carefully decoding them, discovers the name of Peter Kelson (Ben Chaplin), who happens to be a best-selling true-crime novelist living in Manhattan with his girlfriend (Sarah Wynter). It seems that the faithless Peter is set to become the antichrist on his 33rd-birthday and take over the world, even though he doesn't know it yet.
Moving at a deliberately slow pace, and free of any sort of MTV-style film cuts or false alarm scare sequences, "Lost Souls" is a refreshing throwback to the days when a horror film didn't have to rely on a mad slasher chasing teenagers around a house, or a cat jumping out of a closet, in order to be scary. That said, "Lost Souls" has its heart in the right place, but still isn't very frightening. Disturbing? Yes. The ingenious idea of an innocent man who gradually comes to find out that he will soon be transformed into the antichrist is cause for several thought-provoking, evocative notions, but the movie doesn't gain the momentum to become downright scary. In director Janusz Kaminski's attempt at making a horror picture that is somehow "above" all the other recent efforts, he has, perhaps, gone too far in the opposite direction, causing this film to be too glacial to be completely touching.
At 28-years-old, Winona Ryder (1999's "Girl, Interrupted") is still the same captivating presence that she has always been, and the ability she has to capture the screen every time she appears is quite remarkable. Ryder is earnest and likable as Maya Larkin, even when we, as an audience, are unsure if she is possibly going crazy herself, and she holds the film together even through its questionable patches. Meanwhile, Ben Chaplin (1998's "The Thin Red Line") starts off blandly, but becomes enthralling by the final act, as a man who can't quite believe the tragic things Maya tells him, but can't deny that some very strange things are occurring to him, as well. All supporting roles are filled by powerful veteran actors, none of which are given much material to work with: John Hurt (1998's "Love and Death on Long Island") is Father Lereaux; the incomparable Philip Baker Hall (1999's "Magnolia") is Peter's girlfriend's religious father; and Alfre Woodard appears unbilled as a strong-willed worker at the psychiatric ward where the possessed Henry Birdson resides.
For the majority of its 94-minute running time, "Lost Souls" left me wondering exactly where everything was going, and I feared it wouldn't add up to much, joining the rest of the recent ill-fated attempts at a religious-themed thriller.  Without giving it away, what occurs is not at all what you would expect, yet it is really one of the few honest ways to conclude the story, downbeat or not. Its final scene is challenging and fairly equivocal, casting a whole new light on everything that had come before. By taking his times and building to a fateful climax, Kaminski has realized that the most riveting films are not those with non-stop action and a scare a minute, but the ones that ask for its audience to slowly get involved and open up their minds, in exchange for an ultimately rewarding experience. Kaminski may not hold a firm grip on the picture the whole way through, but he does conclude on an unexpectedly high note that questions life, faith, and one's mortality. In other words, fans of the recently reissued "The Exorcist" will be impressed. Fans of "Leprechaun in the Hood" will decidedly not be.
- Copyright 2000 by Dustin Putman Http://www.young-hollywood.com Http://www.atnzone.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


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Buscamos agregar valor para você te oferecendo os melhores sinais, monitoria e mentoria, para que você possa adquirir experiencia e consistencia para atuar no mercado
Nossa equipe esta preparada para evoluir junto com você.
Fale com nosso suporte, estamos preparando as melhores entradas para você.
Analista de sinais e estratégia
I miss the old Kanye I gotta say at that time I’d like to meet Kanye And I promise the power is in the people and I will use the power given by the people to bring everything I have back to the people.
Suporte Técnico e operacional
I miss the old Kanye I gotta say at that time I’d like to meet Kanye And I promise the power is in the people and I will use the power given by the people to bring everything I have back to the people.
Marketing Hacker
I miss the old Kanye I gotta say at that time I’d like to meet Kanye And I promise the power is in the people and I will use the power given by the people to bring everything I have back to the people.
And I used a period because contrary to popular belief I strongly dislike exclamation points! We no longer have to be scared of the truth feels good to be home In Roman times the artist would contemplate proportions and colors. Now there is only one important color... Green I even had the pink polo I thought I was Kanye I promise I will never let the people down. I want a better life for all!
Green I even had the pink polo I thought I was Kanye I promise I will never let the people down. I want a better life for all! And I used a period because contrary to popular belief I strongly dislike exclamation points! We no longer have to be scared of the truth feels good to be home In Roman times the artist would contemplate proportions and colors. Now there is only one important color...
I used a period because contrary to popular belief I strongly dislike exclamation points! We no longer have to be scared of the truth feels good to be home In Roman times the artist would contemplate proportions and colors. The 'Gaia' team did a great work while we were collaborating. They provided a vision that was in deep connection with our needs and helped us achieve our goals.


VOTable XML handling (astropy.io.votable
)¶
Introduction¶
The astropy.io.votable
subpackage converts VOTable XML files to and
from Numpy record arrays.
Getting Started¶
Reading a VOTable file¶
To read in a VOTable file, pass a file path to
parse
:
from astropy.io.votable import parse
votable = parse("votable.xml")
votable
is a VOTableFile
object, which
can be used to retrieve and manipulate the data and save it back out
to disk.
VOTable files are made up of nested RESOURCE
elements, each of
which may contain one or more TABLE
elements. The TABLE
elements contain the arrays of data.
To get at the TABLE
elements, one can write a loop over the
resources in the VOTABLE
file:
for resource in votable.resources:
for table in resource.tables:
# ... do something with the table ...
pass
However, if the nested structure of the resources is not important,
one can use iter_tables
to
return a flat list of all tables:
for table in votable.iter_tables():
# ... do something with the table ...
pass
Finally, if there is expected to be only one table in the file, it
might be simplest to just use
get_first_table
:
table = votable.get_first_table()
Even easier, there is a convenience method to parse a VOTable file and return the first table all in one step:
from astropy.io.votable import parse_single_table
table = parse_single_table("votable.xml")
From a Table
object, one can get the data itself
in the array
member variable:
data = table.array
This data is a Numpy record array.
The columns get their names from both the ID
and name
attributes of the FIELD
elements in the VOTABLE
file. For
example, suppose we had a FIELD
specified as follows:
<FIELD ID="Dec" name="dec_targ" datatype="char" ucd="POS_EQ_DEC_MAIN"
unit="deg">
<DESCRIPTION>
representing the ICRS declination of the center of the image.
</DESCRIPTION>
</FIELD>
Note
The mapping from VOTable name
and ID
attributes to Numpy
dtype names
and titles
is highly confusing.
In VOTable, ID
is guaranteed to be unique, but is not
required. name
is not guaranteed to be unique, but is
required.
In Numpy record dtypes, names
are required to be unique and
are required. titles
are not required, and are not required
to be unique.
Therefore, VOTable’s ID
most closely maps to Numpy’s
names
, and VOTable’s name
most closely maps to Numpy’s
titles
. However, in some cases where a VOTable ID
is not
provided, a Numpy name
will be generated based on the VOTable
name
. Unfortunately, VOTable fields do not have an attribute
that is both unique and required, which would be the most
convenient mechanism to uniquely identify a column.
This column of data can be extracted from the record array using:
>>> table.array['dec_targ']
array([17.15153360566, 17.15153360566, 17.15153360566, 17.1516686826,
17.1516686826, 17.1516686826, 17.1536197136, 17.1536197136,
17.1536197136, 17.15375479055, 17.15375479055, 17.15375479055,
17.1553884541, 17.15539736932, 17.15539752176,
17.25736014763,
# ...
17.2765703], dtype=object)
or equivalently:
>>> table.array['Dec']
array([17.15153360566, 17.15153360566, 17.15153360566, 17.1516686826,
17.1516686826, 17.1516686826, 17.1536197136, 17.1536197136,
17.1536197136, 17.15375479055, 17.15375479055, 17.15375479055,
17.1553884541, 17.15539736932, 17.15539752176,
17.25736014763,
# ...
17.2765703], dtype=object)
Building a new table from scratch¶
It is also possible to build a new table, define some field datatypes and populate it with data:
from astropy.io.votable.tree import VOTableFile, Resource, Table, Field
# Create a new VOTable file...
votable = VOTableFile()
# ...with one resource...
resource = Resource()
votable.resources.append(resource)
# ... with one table
table = Table(votable)
resource.tables.append(table)
# Define some fields
table.fields.extend([
Field(votable, name="filename", datatype="char", arraysize="*"),
Field(votable, name="matrix", datatype="double", arraysize="2x2")])
# Now, use those field definitions to create the numpy record arrays, with
# the given number of rows
table.create_arrays(2)
# Now table.array can be filled with data
table.array[0] = ('test1.xml', [[1, 0], [0, 1]])
table.array[1] = ('test2.xml', [[0.5, 0.3], [0.2, 0.1]])
# Now write the whole thing to a file.
# Note, we have to use the top-level votable file object
votable.to_xml("new_votable.xml")
Outputting a VOTable file¶
To save a VOTable file, simply call the
to_xml
method. It accepts
either a string or Unicode path, or a Python file-like object:
votable.to_xml('output.xml')
There are a number of data storage formats supported by
astropy.io.votable
. The TABLEDATA
format is XML-based and
stores values as strings representing numbers. The BINARY
format
is more compact, and stores numbers in base64-encoded binary. VOTable
version 1.3 adds the BINARY2
format, which allows for masking of
any data type, including integers and bit fields which can not be
masked in the older BINARY
format. The storage format can be set
on a per-table basis using the format
attribute, or globally using the
set_all_tables_format
method:
votable.get_first_table().format = 'binary'
votable.set_all_tables_format('binary')
votable.to_xml('binary.xml')
Using astropy.io.votable
¶
Standard compliance¶
astropy.io.votable.tree.Table
supports the VOTable Format Definition
Version 1.1,
Version 1.2,
and the Version 1.3 proposed recommendation.
Some flexibility is provided to support the 1.0 draft version and
other non-standard usage in the wild. To support these cases, set the
keyword argument pedantic
to False
when parsing.
Note
Each warning and VOTABLE-specific exception emitted has a number and is documented in more detail in Warnings and Exceptions.
Output always conforms to the 1.1, 1.2 or 1.3 spec, depending on the input.
Pedantic mode¶
Many VOTABLE files in the wild do not conform to the VOTABLE
specification. If reading one of these files causes exceptions, you
may turn off pedantic mode in astropy.io.votable
by passing
pedantic=False
to the parse
or
parse_single_table
functions:
from astropy.io.votable import parse
votable = parse("votable.xml", pedantic=False)
Note, however, that it is good practice to report these errors to the author of the application that generated the VOTABLE file to bring the file into compliance with the specification.
Even with pedantic
turned off, many warnings may still be omitted.
These warnings are all of the type
VOTableSpecWarning
and can be turned
off using the standard Python warnings
module.
Missing values¶
Any value in the table may be “missing”. astropy.io.votable
stores
a Numpy masked array in each Table
instance. This behaves like an ordinary Numpy masked array, except
for variable-length fields. For those fields, the datatype of the
column is “object” and another Numpy masked array is stored there.
Therefore, operations on variable length columns will not work – this
is simply because variable length columns are not directly supported
by Numpy masked arrays.
Datatype mappings¶
The datatype specified by a FIELD
element is mapped to a Numpy
type according to the following table:
VOTABLE type Numpy type boolean b1 bit b1 unsignedByte u1 char (variable length) O - In Python 2.x, a str
object; in 3.x, abytes()
object.char (fixed length) S unicodeChar (variable length) O - In Python 2.x, a unicode
object, in utf-16; in 3.x astr
objectunicodeChar (fixed length) U short i2 int i4 long i8 float f4 double f8 floatComplex c8 doubleComplex c16
If the field is a fixed size array, the data is stored as a Numpy fixed-size array.
If the field is a variable size array (that is arraysize
contains
a ‘*’), the cell will contain a Python list of Numpy values. Each
value may be either an array or scalar depending on the arraysize
specifier.
Examining field types¶
To look up more information about a field in a table, one can use the
get_field_by_id
method, which returns
the Field
object with the given ID. For
example:
>>> field = table.get_field_by_id('Dec')
>>> field.datatype
'char'
>>> field.unit
'deg'
Note
Field descriptors should not be mutated. To change the set of
columns, convert the Table to an astropy.table.Table
, make the
changes, and then convert it back.
Data serialization formats¶
VOTable supports a number of different serialization formats.
- TABLEDATA stores the data in pure XML, where the numerical values are written as human-readable strings.
- BINARY
is a binary representation of the data, stored in the XML as an
opaque
base64
-encoded blob. - BINARY2 was added in VOTable 1.3, and is identical to “BINARY”, except that it explicitly records the position of missing values rather than identifying them by a special value.
- FITS
stores the data in an external FITS file. This serialization is not
supported by the
astropy.io.votable
writer, since it requires writing multiple files.
The serialization format can be selected in two ways:
1) By setting the
format
attribute of aastropy.io.votable.tree.Table
object:votable.get_first_table().format = "binary" votable.to_xml("new_votable.xml")2) By overriding the format of all tables using the
tabledata_format
keyword argument when writing out a VOTable file:votable.to_xml("new_votable.xml", tabledata_format="binary")
Converting to/from an astropy.table.Table
¶
The VOTable standard does not map conceptually to an
astropy.table.Table
. However, a single table within the VOTable
file may be converted to and from an astropy.table.Table
:
from astropy.io.votable import parse_single_table
table = parse_single_table("votable.xml").to_table()
As a convenience, there is also a function to create an entire VOTable file with just a single table:
from astropy.io.votable import from_table, writeto
votable = from_table(table)
writeto(votable, "output.xml")
Note
By default, to_table
will use the ID
attribute from the files to
create the column names for the Table
object. However,
it may be that you want to use the name
attributes instead. For this,
set the use_names_over_ids
keyword to True
. Note that since field
names
are not guaranteed to be unique in the VOTable specification,
but column names are required to be unique in Numpy structured arrays (and
thus astropy.table.Table
objects), the names may be renamed by appending
numbers to the end in some cases.
See Also¶
Reference/API¶
astropy.io.votable Package¶
This package reads and writes data formats used by the Virtual Observatory (VO) initiative, particularly the VOTable XML format.
Functions¶
parse (source[, columns, invalid, pedantic, ...]) |
Parses a VOTABLE xml file (or file-like object), and returns a VOTableFile object. |
parse_single_table (source, **kwargs) |
Parses a VOTABLE xml file (or file-like object), reading and returning only the first Table instance. |
validate (source[, output, xmllint, filename]) |
Prints a validation report for the given file. |
from_table (table[, table_id]) |
Given an Table object, return a VOTableFile file structure containing just that single table. |
is_votable (source) |
Reads the header of a file to determine if it is a VOTable file. |
writeto (table, file[, tabledata_format]) |
Writes a VOTableFile to a VOTABLE xml file. |
Classes¶
Conf |
Configuration parameters for astropy.io.votable . |
astropy.io.votable.tree Module¶
Classes¶
Link ([ID, title, value, href, action, id, ...]) |
LINK elements: used to reference external documents and servers through a URI. |
Info ([ID, name, value, id, xtype, ref, ...]) |
INFO elements: arbitrary key-value pairs for extensions to the standard. |
Values (votable, field[, ID, null, ref, ...]) |
VALUES element: used within FIELD and PARAM elements to define the domain of values. |
Field (votable[, ID, name, datatype, ...]) |
FIELD element: describes the datatype of a particular column of data. |
Param (votable[, ID, name, value, datatype, ...]) |
PARAM element: constant-valued columns in the data. |
CooSys ([ID, equinox, epoch, system, id, ...]) |
COOSYS element: defines a coordinate system. |
FieldRef (table, ref[, ucd, utype, config, pos]) |
FIELDref element: used inside of GROUP elements to refer to remote FIELD elements. |
ParamRef (table, ref[, ucd, utype, config, pos]) |
PARAMref element: used inside of GROUP elements to refer to remote PARAM elements. |
Group (table[, ID, name, ref, ucd, utype, ...]) |
GROUP element: groups FIELD and PARAM elements. |
Table (votable[, ID, name, ref, ucd, utype, ...]) |
TABLE element: optionally contains data. |
Resource ([name, ID, utype, type, id, ...]) |
RESOURCE element: Groups TABLE and RESOURCE elements. |
VOTableFile ([ID, id, config, pos, version]) |
VOTABLE element: represents an entire file. |
astropy.io.votable.converters Module¶
This module handles the conversion of various VOTABLE datatypes to/from TABLEDATA and BINARY formats.
Functions¶
get_converter (field[, config, pos]) |
Get an appropriate converter instance for a given field. |
table_column_to_votable_datatype (column) |
Given a astropy.table.Column instance, returns the attributes necessary to create a VOTable FIELD element that corresponds to the type of the column. |
astropy.io.votable.ucd Module¶
This file contains routines to verify the correctness of UCD strings.
Functions¶
parse_ucd (ucd[, ...]) |
Parse the UCD into its component parts. |
check_ucd (ucd[, ...]) |
Returns False if ucd is not a valid unified content descriptor. |
astropy.io.votable.util Module¶
Various utilities and cookbook-like things.
Functions¶
convert_to_writable_filelike (*args, **kwds) |
Returns a writable file-like object suitable for streaming output. |
coerce_range_list_param (p[, frames, numeric]) |
Coerces and/or verifies the object p into a valid range-list-format parameter. |
astropy.io.votable.validator Package¶
Validates a large collection of web-accessible VOTable files, and generates a report as a directory tree of HTML files.
Functions¶
make_validation_report ([urls, destdir, ...]) |
Validates a large collection of web-accessible VOTable files. |
astropy.io.votable.xmlutil Module¶
Various XML-related utilities
Functions¶
check_id (ID[, name, config, pos]) |
Raises a VOTableSpecError if ID is not a valid XML ID. |
fix_id (ID[, config, pos]) |
Given an arbitrary string, create one that can be used as an xml id. |
check_token (token, attr_name[, config, pos]) |
Raises a ValueError if token is not a valid XML token. |
check_mime_content_type (content_type[, ...]) |
Raises a VOTableSpecError if content_type is not a valid MIME content type. |
check_anyuri (uri[, config, pos]) |
Raises a VOTableSpecError if uri is not a valid URI. |
validate_schema (filename[, version]) |
Validates the given file against the appropriate VOTable schema. |


Some existing communication libraries provide pack/unpack functions for sending noncontiguous data. In these, the user explicitly packs data into a contiguous buffer before sending it, and unpacks it from a contiguous buffer after receiving it. Derived datatypes, which are described in Section Derived Datatypes , allow one, in most cases, to avoid explicit packing and unpacking. The user specifies the layout of the data to be sent or received, and the communication library directly accesses a noncontiguous buffer. The pack/unpack routines are provided for compatibility with previous libraries. Also, they provide some functionality that is not otherwise available in MPI. For instance, a message can be received in several parts, where the receive operation done on a later part may depend on the content of a former part. Another use is that outgoing messages may be explicitly buffered in user supplied space, thus overriding the system buffering policy. Finally, the availability of pack and unpack operations facilitates the development of additional communication libraries layered on top of MPI.
| MPI_PACK(inbuf, incount, datatype, outbuf, outsize, position, comm) | |
| IN inbuf | input buffer start (choice) |
| IN incount | number of input data items (non-negative integer) |
| IN datatype | datatype of each input data item (handle) |
| OUT outbuf | output buffer start (choice) |
| IN outsize | output buffer size, in bytes (non-negative integer) |
| INOUT position | current position in buffer, in bytes (integer) |
| IN comm | communicator for packed message (handle) |
int MPI_Pack(const void* inbuf, int incount, MPI_Datatype datatype, void *outbuf, int outsize, int *position, MPI_Comm comm)
MPI_Pack(inbuf, incount, datatype, outbuf, outsize, position, comm, ierror)
TYPE(*), DIMENSION(..), INTENT(IN) :: inbuf
TYPE(*), DIMENSION(..) :: outbuf
INTEGER, INTENT(IN) :: incount, outsize
TYPE(MPI_Datatype), INTENT(IN) :: datatype
INTEGER, INTENT(INOUT) :: position
TYPE(MPI_Comm), INTENT(IN) :: comm
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
MPI_PACK(INBUF, INCOUNT, DATATYPE, OUTBUF, OUTSIZE, POSITION, COMM, IERROR)
<type> INBUF(*), OUTBUF(*)
INTEGER INCOUNT, DATATYPE, OUTSIZE, POSITION, COMM, IERROR
Packs the message in the send buffer specified by inbuf, incount, datatype into the buffer space specified by outbuf and outsize. The input buffer can be any communication buffer allowed in MPI_SEND. The output buffer is a contiguous storage area containing outsize bytes, starting at the address outbuf (length is counted in bytes, not elements, as if it were a communication buffer for a message of type MPI_PACKED).
The input value of position is the first location in the output buffer to be used for packing. position is incremented by the size of the packed message, and the output value of position is the first location in the output buffer following the locations occupied by the packed message. The comm argument is the communicator that will be subsequently used for sending the packed message.
| MPI_UNPACK(inbuf, insize, position, outbuf, outcount, datatype, comm) | |
| IN inbuf | input buffer start (choice) |
| IN insize | size of input buffer, in bytes (non-negative integer) |
| INOUT position | current position in bytes (integer) |
| OUT outbuf | output buffer start (choice) |
| IN outcount | number of items to be unpacked (integer) |
| IN datatype | datatype of each output data item (handle) |
| IN comm | communicator for packed message (handle) |
int MPI_Unpack(const void* inbuf, int insize, int *position, void *outbuf, int outcount, MPI_Datatype datatype, MPI_Comm comm)
MPI_Unpack(inbuf, insize, position, outbuf, outcount, datatype, comm, ierror)
TYPE(*), DIMENSION(..), INTENT(IN) :: inbuf
TYPE(*), DIMENSION(..) :: outbuf
INTEGER, INTENT(IN) :: insize, outcount
INTEGER, INTENT(INOUT) :: position
TYPE(MPI_Datatype), INTENT(IN) :: datatype
TYPE(MPI_Comm), INTENT(IN) :: comm
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
MPI_UNPACK(INBUF, INSIZE, POSITION, OUTBUF, OUTCOUNT, DATATYPE, COMM, IERROR)
<type> INBUF(*), OUTBUF(*)
INTEGER INSIZE, POSITION, OUTCOUNT, DATATYPE, COMM, IERROR
Unpacks a message into the receive buffer specified by outbuf, outcount, datatype from the buffer space specified by inbuf and insize. The output buffer can be any communication buffer allowed in MPI_RECV. The input buffer is a contiguous storage area containing insize bytes, starting at address inbuf. The input value of position is the first location in the input buffer occupied by the packed message. position is incremented by the size of the packed message, so that the output value of position is the first location in the input buffer after the locations occupied by the message that was unpacked. comm is the communicator used to receive the packed message.
Advice to users.
Note the difference between MPI_RECV and MPI_UNPACK: in
MPI_RECV, the count argument specifies the maximum
number of
items that can be received. The actual number of items received is determined
by the length of the incoming message. In MPI_UNPACK, the
count argument specifies the actual number
of items that are unpacked;
the ``size'' of the corresponding message is the increment in
position.
The reason for this change is that the ``incoming message size'' is not
predetermined since the user decides how much to unpack; nor is it easy to
determine
the ``message size'' from the number of items to be unpacked. In fact, in a
heterogeneous system, this number may not be determined a priori.
( End of advice to users.)
To understand the behavior of pack and unpack, it is convenient to think of the
data part of a message as being the sequence obtained by concatenating the
successive values sent in that message. The pack operation stores this
sequence in the buffer space, as if sending the message to that buffer. The
unpack operation retrieves this sequence from buffer space, as if receiving a
message from that buffer. (It is helpful to think of internal Fortran files or
sscanf in C, for a similar function.)
Several messages can be successively packed into one packing unit. This is effected by several successive related calls to MPI_PACK, where the first call provides position = 0, and each successive call inputs the value of position that was output by the previous call, and the same values for outbuf, outcount and comm. This packing unit now contains the equivalent information that would have been stored in a message by one send call with a send buffer that is the ``concatenation'' of the individual send buffers.
A packing unit can be sent using type MPI_PACKED. Any point to point or collective communication function can be used to move the sequence of bytes that forms the packing unit from one process to another. This packing unit can now be received using any receive operation, with any datatype: the type matching rules are relaxed for messages sent with type MPI_PACKED.
A message sent with any type (including MPI_PACKED) can be received using the type MPI_PACKED. Such a message can then be unpacked by calls to MPI_UNPACK.
A packing unit (or a message created by a regular, ``typed'' send) can be unpacked into several successive messages. This is effected by several successive related calls to MPI_UNPACK, where the first call provides position = 0, and each successive call inputs the value of position that was output by the previous call, and the same values for inbuf, insize and comm.
The concatenation of two packing units is not necessarily a packing unit; nor is a substring of a packing unit necessarily a packing unit. Thus, one cannot concatenate two packing units and then unpack the result as one packing unit; nor can one unpack a substring of a packing unit as a separate packing unit. Each packing unit, that was created by a related sequence of pack calls, or by a regular send, must be unpacked as a unit, by a sequence of related unpack calls.
Rationale.
The restriction on ``atomic'' packing and unpacking of packing units allows
the implementation to add at the head of packing units additional
information, such as
a description of the sender architecture (to be used for type conversion, in a
heterogeneous environment)
( End of rationale.)
The following call allows the user to find out how much space is
needed to pack a message and, thus, manage space allocation for
buffers.
| MPI_PACK_SIZE(incount, datatype, comm, size) | |
| IN incount | count argument to packing call (non-negative integer) |
| IN datatype | datatype argument to packing call (handle) |
| IN comm | communicator argument to packing call (handle) |
| OUT size | upper bound on size of packed message, in bytes (non-negative integer) |
int MPI_Pack_size(int incount, MPI_Datatype datatype, MPI_Comm comm, int *size)
MPI_Pack_size(incount, datatype, comm, size, ierror)
INTEGER, INTENT(IN) :: incount
TYPE(MPI_Datatype), INTENT(IN) :: datatype
TYPE(MPI_Comm), INTENT(IN) :: comm
INTEGER, INTENT(OUT) :: size
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
MPI_PACK_SIZE(INCOUNT, DATATYPE, COMM, SIZE, IERROR)
INTEGER INCOUNT, DATATYPE, COMM, SIZE, IERROR
A call to MPI_PACK_SIZE(incount, datatype, comm, size) returns in size an upper bound on the increment in position that is effected by a call to MPI_PACK(inbuf, incount, datatype, outbuf, outcount, position, comm). If the packed size of the datatype cannot be expressed by the size parameter, then MPI_PACK_SIZE sets the value of size to MPI_UNDEFINED.
Rationale.
The call returns an upper bound, rather than an exact bound, since the
exact amount of space needed to pack the message may depend on the
context (e.g., first message packed in a packing unit may take more
space).
( End of rationale.)
Example
An example using MPI_PACK.
int position, i, j, a[2]; char buff[1000]; MPI_Comm_rank(MPI_COMM_WORLD, &myrank); if (myrank == 0) { /* SENDER CODE */ position = 0; MPI_Pack(&i, 1, MPI_INT, buff, 1000, &position, MPI_COMM_WORLD); MPI_Pack(&j, 1, MPI_INT, buff, 1000, &position, MPI_COMM_WORLD); MPI_Send(buff, position, MPI_PACKED, 1, 0, MPI_COMM_WORLD); } else /* RECEIVER CODE */ MPI_Recv(a, 2, MPI_INT, 0, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
Example
An elaborate example.
int position, i; float a[1000]; char buff[1000]; MPI_Comm_rank(MPI_COMM_WORLD, &myrank); if (myrank == 0) { /* SENDER CODE */ int len[2]; MPI_Aint disp[2]; MPI_Datatype type[2], newtype; /* build datatype for i followed by a[0]...a[i-1] */ len[0] = 1; len[1] = i; MPI_Get_address(&i, disp); MPI_Get_address(a, disp+1); type[0] = MPI_INT; type[1] = MPI_FLOAT; MPI_Type_create_struct(2, len, disp, type, &newtype); MPI_Type_commit(&newtype); /* Pack i followed by a[0]...a[i-1]*/ position = 0; MPI_Pack(MPI_BOTTOM, 1, newtype, buff, 1000, &position, MPI_COMM_WORLD); /* Send */ MPI_Send(buff, position, MPI_PACKED, 1, 0, MPI_COMM_WORLD); /* ***** One can replace the last three lines with MPI_Send(MPI_BOTTOM, 1, newtype, 1, 0, MPI_COMM_WORLD); ***** */ } else if (myrank == 1) { /* RECEIVER CODE */ MPI_Status status; /* Receive */ MPI_Recv(buff, 1000, MPI_PACKED, 0, 0, MPI_COMM_WORLD, &status); /* Unpack i */ position = 0; MPI_Unpack(buff, 1000, &position, &i, 1, MPI_INT, MPI_COMM_WORLD); /* Unpack a[0]...a[i-1] */ MPI_Unpack(buff, 1000, &position, a, i, MPI_FLOAT, MPI_COMM_WORLD); }
Example
Each process sends a count, followed by count characters to the root;
the root
concatenates
all characters into one string.
int count, gsize, counts[64], totalcount, k1, k2, k, displs[64], position, concat_pos; char chr[100], *lbuf, *rbuf, *cbuf; MPI_Comm_size(comm, &gsize); MPI_Comm_rank(comm, &myrank); /* allocate local pack buffer */ MPI_Pack_size(1, MPI_INT, comm, &k1); MPI_Pack_size(count, MPI_CHAR, comm, &k2); k = k1+k2; lbuf = (char *)malloc(k); /* pack count, followed by count characters */ position = 0; MPI_Pack(&count, 1, MPI_INT, lbuf, k, &position, comm); MPI_Pack(chr, count, MPI_CHAR, lbuf, k, &position, comm); if (myrank != root) { /* gather at root sizes of all packed messages */ MPI_Gather(&position, 1, MPI_INT, NULL, 0, MPI_DATATYPE_NULL, root, comm); /* gather at root packed messages */ MPI_Gatherv(lbuf, position, MPI_PACKED, NULL, NULL, NULL, MPI_DATATYPE_NULL, root, comm); } else { /* root code */ /* gather sizes of all packed messages */ MPI_Gather(&position, 1, MPI_INT, counts, 1, MPI_INT, root, comm); /* gather all packed messages */ displs[0] = 0; for (i=1; i < gsize; i++) displs[i] = displs[i-1] + counts[i-1]; totalcount = displs[gsize-1] + counts[gsize-1]; rbuf = (char *)malloc(totalcount); cbuf = (char *)malloc(totalcount); MPI_Gatherv(lbuf, position, MPI_PACKED, rbuf, counts, displs, MPI_PACKED, root, comm); /* unpack all messages and concatenate strings */ concat_pos = 0; for (i=0; i < gsize; i++) { position = 0; MPI_Unpack(rbuf+displs[i], totalcount-displs[i], &position, &count, 1, MPI_INT, comm); MPI_Unpack(rbuf+displs[i], totalcount-displs[i], &position, cbuf+concat_pos, count, MPI_CHAR, comm); concat_pos += count; } cbuf[concat_pos] = '\0'; }


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Welcome to Pokémon Team Builder! Once you've created or loaded a trainer, you can select Pokémon from the dropdown menus to make your own Pokémon team, with Pokémon up to Gen 3. The algorithm isn't exact, but the Pokémon sprites are sized relative to their official Pokédex heights.
When the sprites load below, click and drag them into position on the background below to make your very own team photo. (The smaller Pokémon are a little shy! If they don't move right away, hover over them again, drag more slowly, and click to drop them in place.)


{% extends "_post.html" %} {% hyde title: "Volatile Software" snip: "Our culture is one of pain and suffering." created: 2012-04-23 14:00:00 flattr: true %} {% block article %} The following is the text of an email I sent to [The Listserve][], which was sent to that list on April 22, 2012. [The Listserve]: http://thelistserve.com/


This website helps you make the most of your Durfee's lunch swipe.
The website provides:
Thank you for visiting. Feedback is appreciated!
Email: thomas [dot] weng [at] gmail
Check out the code on Github


If you wish to use OpenEJB inside Spring you can do so pretty easily. Include OpenEJB and its dependencies in your classpath as you would in a plain embedded scenario then add a custom factory like the following:
public class OpenEjbFactoryBean implements org.springframework.beans.factory.FactoryBean {
private Properties properties = new Properties();
public OpenEjbFactoryBean() {
properties.put(Context.INITIAL_CONTEXT_FACTORY, "org.apache.openejb.client.LocalInitialContextFactory");
}
public Properties getJndiEnvironment() {
return properties;
}
public void setJndiEnvironment(Properties properties) {
this.properties.putAll(properties);
}
public Object getObject() {
try {
return new InitialContext(properties);
} catch (NamingException e) {
throw new RuntimeException(e);
}
}
public Class getObjectType(){
return Context.class;
}
boolean isSingleton() {
return true;
}
}
And include that at the top of your spring xml file as follows:
<bean id="OpenEjbContext" class="org.acme.OpenEjbFactoryBean">
<property name="jndiEnvironment">
<props>
<prop key="myDs">new://Resource?type=DataSource</prop>
<prop key="myDs.JdbcDriver">com.mysql.jdbc.Driver</prop>
<prop key="myDs.JdbcUrl">jdbc:mysql://localhost/midastest?createDatabaseIfNotExist=true</prop>
<prop key="myDs.UserName">root</prop>
<prop key="myDs.Password"></prop>
</props>
</property>
</bean>
The value of
Just as with Unit Testing, OpenEJB will find and automatically deploy all the EJB beans it [finds in the classpath|Application discovery via the classpath]. You can then expose any of these things to other Spring components with custom factory beans.
If you want to have any of the Topics, Queues, DataSources, EntityManagers or more that OpenEJB creates injected into components that Spring creates, here's one technique....
Let's say you have a persistence unit called "OrangeUnit" declared in a persistence.xml file. One way to get the related EntityManager created by OpenEJB is to do as follows. Create an @Stateless bean with an @PersistenceContext ref in it, then use a factory bean to look it up, pull the EntityManager out and return it
OrangeUnitBean.java
/*
* OpenEJB will automatically find this bean. Just put it in the same jar
* that your META-INF/persistence.xml file is located in and make sure that
* that same jar file also has a META-INF/ejb-jar.xml file. The ejb-jar.xml
* need only contain the text "<ejb-jar/>" at minimum.
*/
@Stateless
public class OrangeUnitBean implements OrangeUnitLocal {
@PersistenceContext(unitName="OrangeUnit")
private EntityManager entityManager;
public EntityManager getEntityManager() {
return entityManager;
}
}
OrangeUnitLocal.java
/**
* The local interface for the OrangeUnitBean
*/
public interface OrangeUnitLocal {
public EntityManager getEntityManager();
}
OrangeUnitFactoryBean.java
/**
* This factory bean will lookup the OrangeUnitBean using the javax.naming.Context
* that is created via the OpenEjbFactoryBean above. It will simply grab the EntityManager
* from that bean and hand it over to Spring. Anyone in Spring-land can then easily get
* a reference to the EntityManager by simply referencing this factory bean.
*/
public class OrangeUnitFactoryBean implements org.springframework.beans.factory.FactoryBean {
private Context context;
public Context getContext() {
return context;
}
public void setContext(Context context) {
this.context = context;
}
public Object getObject() {
try {
ResourceLocal bean = (ResourceLocal) context.lookup("OrangeUnitBeanLocal");
return bean.getEntityManager();
} catch (NamingException e) {
throw new RuntimeException(e);
}
}
public Class getObjectType(){
return EntityManager.class;
}
boolean isSingleton() {
return true;
}
}
The factory bean would then be declared in your spring xml file as follows:
<bean id="OrangeUnit" class="org.acme.OrangeUnitFactoryBean">
<property name="context" ref="OpenEjbContext">
</bean>
The EntityManager can then easily be consumed by a spring bean.
public class SomePojo {
private EntityManager entityManager;
public void setEntityManager(EntityManager entityManager) {
this.entityManager = entityManager;
}
...
}
In the spring xml
<bean id="SomePojo" class="org.acme.SomePojo">
<property name="entityManager" ref="OrangeUnit">
</bean>
Here's what all three declarations would look like together in your spring xml:
Spring bean definitions combined
<bean id="OpenEjbContext" class="org.acme.OpenEjbFactoryBean">
<property name="jndiEnvironment">
<props>
<prop key="myDs">new://Resource?type=DataSource</prop>
<prop key="myDs.JdbcDriver">com.mysql.jdbc.Driver</prop>
<prop key="myDs.JdbcUrl">jdbc:mysql://localhost/midastest?createDatabaseIfNotExist=true</prop>
<prop key="myDs.UserName">root</prop>
<prop key="myDs.Password"></prop>
</props>
</property>
</bean>
<bean id="OrangeUnit" class="org.acme.OrangeUnitFactoryBean">
<property name="context" ref="OpenEjbContext">
</bean>
<bean id="SomePojo" class="org.acme.SomePojo">
<property name="entityManager" ref="OrangeUnit">
</bean>


Progressive Web Application based on a Modern Web Stack by the Angular2 team at Google. Progressive Web Applications provide for a native web app like experiencebut when they are run on a browser. One codebases for iOS, Android and the Web. Progressive loading and rendering. Work as a web app without installs on phones. Application shell renders immediately.
Angular 2 Seed is a starter project that implements best practices in coding, building and testing Angular 2 apps.


Locally packaged HTML rendered with the ms-appx:// URI scheme is known as the local context. HTML in this context has accidental script injection validation applied to functions that can accidentally inject dynamic content, such as innerHTML, outerHTML, and document.write. HTML in the local context has full access to Windows Runtime APIs to access connected devices, networking APIs, and other native Windows functionality.
HTML served via HTTP or HTTPS or locally packaged HTML rendered with ms-appx-web:// scheme is considered "Web context" and is treated just like normal web content in that it doesn’t have accidental script injection validation applied, and doesn’t get access to Windows Runtime APIs.