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Support
If you have any questions or issues with Gas Jot, please reach out to us at
<EMAIL_ADDRESS>.


About
Hi there!!
My name is Gonzalo Moreno. I'm from MADRID, 34 years old
My first experience with Coding started programming in "Basic" long long time ago when I was 12; very easy video-games with very low quality graphics and so many lines of code by that time in order to get those poor results; by that time, even the "www" was something almost unknown, and I stopped coding completely; "Basic" was extremely boring to me.
I became an Entrepreneur some years later, and got back to Programming Languages. I am a Front-End Developer, and for the moment I'm creating my own Apps; I'm working hard on a very interesting Application for Iphone/Android.
Please contact me in case you need anything.
Good luck!!
Skills
Tools
- JQuery |
- Angular JS |
- PHP & MySQL |
- Node JS |
- Ruby on Rails |
- Adobe Photoshop


EBD - Easton Bible DIctionary
Duke
DUKE
"DUKE "derived from the Latin dux, meaning “a leader;” Arabic, “a sheik.” This word is used to denote the phylarch or chief of a tribe (
Genesis 36:15-43
;
Exodus 15:15
;
1 Chronicles 1:51-54
).
"DUKE "derived from the Latin dux, meaning “a leader;” Arabic, “a sheik.” This word is used to denote the phylarch or chief of a tribe (Genesis 36:15-43; Exodus 15:15; 1 Chronicles 1:51-54).


1 The power of Abu Lahab will perish, and he will perish.
2 His wealth and gains will not exempt him.
3 He will be plunged in flaming Fire,
4 And his wife, the wood-carrier,
5 Will have upon her neck a halter of palm-fibre.


WITNESS LIST Appropriations-S/C on Tobacco Committee (Subcommittee on Tobacco) March 19, 2001-8:30A Budget For: Gallier, Martha (American Heart Association) Headrick, Carter (Campaign for Tobacco-Free Kids) Jasso, Belinda (The Life Center Inc.) Krieg, Amy (DAPA Family Recovery Programs) Ray, Donna (Harris County Health Department) Reyna, Lucy (The Life Center Inc.) Richardson, Vita (The Behavioral Health Coalition at the Council on Alcohol and Drugs - Houston) Tounget, Craig (Texas PTA) On: Gingiss, Phyllis (University of Houston) Gottleib, Nell (University of Texas at Austin) Headrick, Kelly (American Cancer Society, Texas Division) Huang, Phil (Texas Department of Health) McGiffert, Lisa (Consumers Union) Stabeno, Debra (Texas Department of Health)


{{product.name}}
₦{{product.salePrice}}.00
Please upload an excel file in the exact format as shown in the picture above


PIE quick start guide¶
Follow these steps to set up a local development version of PIE:
1. Clone the git repository¶
git clone https://github.com/UW-GAC/pie.git
2. Set up a Python virtual environment using virtualenv
¶
Before running the following commands, make sure you have pip
and virtualenv
installed for the version of Python 3 you plan to use.
virtualenv ~/virtualenv/pie
In this example the virtual environment is set up at ~/virtualenv
but you can install it in any location you’d like.
3. Activate the virtual environment and install required packages¶
# Change directory into the PIE git repository.
cd pie
source ~/virtualenv/pie/bin/activate
pip install -r env_requirements/requirements.txt
One of PIE’s requirements has a feature that plots the structure of the backend database. This feature requires that you have the package graphviz
installed. If you don’t need this schema plotting feature, you can ignore the error message about not being able to install pygraphviz
due to missing graphviz
.
4. Choose settings and database¶
You will need to set up a database for PIE to use to store the app’s data. You may choose to use SQLite (the quickest and easiest way, but less similar to production settings). Or you may choose to use a SQL database server, e.g., MySQL, MariaDB, or PostgreSQL. The DCC uses MariaDB. Either way you will need to modify the virtual environment’s activate file with the local settings you are going to use.
Open up the file for editing in a simple command line editor.
nano ~/virtualenv/pie/bin/activate
Use local SQLite settings¶
You will need to make sure you have SQLite installed on your system first. Add the following lines to the end of the activate
file, with values in angle brackets (<>) filled in with the appropriate values.
export PYTHONPATH='<path_to_pie_repo>/pie/phenotype_inventory'
export DJANGO_SETTINGS_MODULE='phenotype_inventory.settings.local_sqlite'
export DJANGO_SECRET_KEY="<add a secret key here>"
Or use a SQL database server¶
You will need to make sure that the database server is set up and you can log in to the SQL shell with the database settings you are going to save in your activate file. Add the following lines to the end of the activate
file, with values in angle brackets (<>) filled in with the appropriate values.
export PYTHONPATH='<path_to_pie_repo>/pie/phenotype_inventory'
export DJANGO_SETTINGS_MODULE='phenotype_inventory.settings.local'
export DJANGO_SECRET_KEY="<add a secret key here>"
export DB_NAME='<name_of_development_DB>'
export DB_HOST='<hostname_of_development_DB'
export DB_PORT='<port_of_development_DB>'
export DB_USER='<username_for_development_DB>'
export DB_PASS='<password_for_development_DB>'
Getting a secret key value¶
The Django secret key is used for hashing secure data (e.g., passwords, sessions). It should always be kept secret and should never be committed to a code repository. You will need to create a secret key to insert into the settings in your virtualenv
activate file. To create a secret key value, you can use this free web tool. Or if you have access to an installed Django application using the django-extensions
app, you can use the generate_secret_key
management command like so:
./manage.py generate_secret_key
5. Reactivate virtualenv
with new settings¶
Now that you’ve added your Django settings to the virtualenv
activate
script, you’ll need to deactivate and reactivate the environment.
deactivate
source ~/virtualenv/bin/activate
6. Set up the database tables¶
In order to create the database tables used to store data for the Django site, you will need to run Django migrations, which are a set of Django scripts used to set up the database schema.
# Look at the available migrations and which have been run or not so far.
./manage.py showmigrations
# Run all of the migrations needed.
./manage.py migrate
7. Make sure your database connection works¶
Log into the database shell to make sure that Django is able to communicate with the database you have specified.
./manage.py dbshell
8. Running tests¶
To test that the PIE code works as expected, you can run tests on your development setup.
# Run all the tests. This will take a very long time to run hundreds of tests.
./manage.py test
test_import_db
will fail without test data obtained from the DCC¶
You can obtain test data for use by the test_import_db test module by contacting the DCC. The test source data is a set of MariaDB database dump files mimicking the structure of the TOPMed DCC’s phenotype harmonization database. Because the harmonization database is not available outside of the DCC, it is unlikely that this test data will be useful to those outside of the DCC.
# test_import_db tests will fail
Creating test database for alias 'default'...
<Many test errors will show up here>
Ran 53 tests in 0.283s
FAILED (errors=37, skipped=2)
Destroying test database for alias 'default'...
Running a minimal set of tests to see that the code works as expected¶
Instead of running all of the tests as shown above, you can run a select set of tests that demonstrate that most of the functionality of PIE works as expected.
./manage.py test tags
./manage.py test profiles
./manage.py test recipes
./manage.py test core
./manage.py test trait_browser.test_views
./manage.py test trait_browser.test_forms
./manage.py test trait_browser.test_models
./manage.py test trait_browser.test_searches
./manage.py test trait_browser.test_tables
./manage.py test trait_browser.test_factories
9. Create a superuser account for login¶
You will need a superuser account to administer your development Django site.
./manage.py createsuperuser
You will be prompted to enter an email address and password for this Django administrator account.
10. Make some fake data to fill your development site with¶
PIE has a function that will create fake data to fill your development site with. Run that function now from within the Django shell so that your development site isn’t empty.
./manage.py shell
>>> from core.build_test_db import build_test_db
>>> build_test_db()
11. Run a development server¶
Run the Django builtin web server (which is intended only for development purposes). This will serve a copy of the PIE app that is only available to you locally.
./manage.py runserver
Now you should be able to view your development version of PIE by navigating to http://<IP_ADDRESS>:8000 in your favorite browser.
12. Deactivate the virtual environment when you’re done working on PIE¶
In order to return your shell environment to normal function, make sure to deactivate the PIE virtualenv
when you’re done.
deactivate


Definition in file CMath.h.
Include dependency graph for CMath.h:
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Defines | |
| #define | RAD2DEG(_x) ( (_x) / M_PI * 180.0 ) |
| Converts a radian value to degrees. | |
| #define | RAD2BIN(_x) ( (_x) / M_PI * 128.0 ) |
| Converts a radian value to binairy (0..256). | |
| #define | DEG2RAD(_x) ( (_x) / 180.0 * M_PI ) |
| Converts a degrees value to radians. | |
| #define | DEG2BIN(_x) ( (_x) / 180.0 * 128.0 ) |
| Converts a degrees value to binairy. | |
| #define | BIN2RAD(_x) ( (_x) / 128.0 * M_PI ) |
| Converts a binairy value to radians. | |
| #define | BIN2DEG(_x) ( (_x) / 128.0 * 180.0 ) |
| Converts a binairy value to degrees. | |
Functions | |
| static float | dxdy2rad (float dx, float dy) |
|
|
Returns an angle for a given (dx, dy) pair. (dx, dy) is a vector with arbitrary size. cos(angle) = dx. sin(angle) = dy. |


{% extends 'admin/my_base.html' %} {% block body %}
Calculates similarities between clusters based on the number of shared gene family members.
No gene families defined. Unable to calculate similarites between co-expression clusters


--- layout: post title: Enable the DCE in Longhorn POST PDC tags: [longhorn] ---
This is something that has been running around for a few days but the blogosphere didn’t notice. You can enable the desktop composition engine in the post PDC build.
Just type in a command line:
C:\windows\I386\SBCtl.exe dcestart
C:\windows\I386\SBCtl.exe wmgstart
Have fun! (note we're talking about the 4052 builds that were leaked on the net a while ago...)
Thanks to Jason on the newsgroups.


Hi Your new password is: {{ . }} After you logged in with your new password be sure to change it in your account settings!


If you first use this app, input all; If not, input you user name is enough, If this does not work, try to input all.
system attr
custom attr
You can Edit exists attr, get New attr, OR just define one


Try scrolling and removing these frames in different orders in hints mode.
Elements can come and go. Unlike iframes, they get their hints back.
link (ctrl+c to toggle)
Filter by “keyboa” and then press ctrl+d. The hint should not be auto-matched. Then backspace to “key”. Backspacing does not trigger the hint. The first link should stay highlighted (the text weight don’t update).
keyboard layout (ctrl+d to change text)
Lots of links to test partly matching hints and scrolling some of the out of view, in different orders. Also test expanding elements to move/hide some of them.
Changing href:
example.com (ctrl+e to change)
Always-moving element:
link


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Paper Deadline
Abstract Deadline
Contest Deadline
Call for Participation
Abstract submitters please note: A shorter version of the CFP specifically for abstract submissions is available for download.
Topics
We are looking for contributions on all aspects of visualization in biology. Suggested topics include, but are not limited to:
- Genome and sequence data, including genomic variation data
- Multivariate omics data (transcriptomics, proteomics, metabolomics, etc.)
- Phylogenetic data
- Ecological and taxonomic data
- Biological networks and pathways
- Biological ontologies
- Molecular structures (protein structures, RNA structures, etc.)
- Subcellular, cellular, tissue- and organ-level structures
- Visualization of image data, such as microscopic or radiological data
- Integration of image and omics data for systems biology
- Modeling, simulation and visualization of biological systems
- Visualization in neurobiology and developmental biology
- Systems and software frameworks for biological visualization
- Integration of visualization in biological workflows or collaborative processes
- Visualization and visual analytics of integrated data sets
- Evaluation of biological visualization systems including interfaces, usability, laboratory experiments, and field studies
- Creation and visualization of biological atlases and metadata
- Processes for interdisciplinary collaboration between biology and visualization
Symposium Format
The symposium will be a two-day single-track event with keynote and invited talks, papers sessions, panels, and abstracts presented through posters, demos, or videos. Tutorial sessions on visualization in bioinformatics/biology will be organized.
Submission Types and Criteria
Given the goal of bringing together members of both the biology and visualization communities for discussion, the symposium solicitation is purposefully broad and open-minded to diverse types and lengths of submissions. Authors are encouraged to identify the intent of their submission. Each paper will be reviewed by the Program Committee and given appropriate time and venue at the symposium in accordance with its stated intent and length. Types of submissions include, but are not limited to:
- Detailed reports of original research
- Experience reports, highlighting lessons learned from the deployment of relevant previously published work
- Descriptions of work in progress and preliminary results
- Demonstrations of new or recent systems, both open source and proprietary
- Descriptions of analysis challenges where current tools fall short for specific datasets and goals, to inform the visualization community in producing better future solutions
Additionally, we welcome submissions describing ideas for future research directions for the Abstract category.
Authors should indicate the intended publication type of their submissions, as one of two categories:
Papers: Up to 8 page papers describing high-quality research that is not necessarily fully completed but offers new insight. (Additional figures, etc. can be included as supplemental materials.) Selected papers will have an opportunity for an extended and refined invited follow-up submission (see "Publications" below). Authors will have an oral presentation in a session with an emphasis on questions and discussion with the audience.
Abstracts: Up to 2 page abstracts that either describe early-stage research or highlight previously published work that has been extended since the original publication. Accepted abstracts will be presented as posters, interactive demos or videos at the symposium and all presenters will have the opportunity to give a brief overview of their work in a plenary "fast-forward session". Additionally, presenters of selected abstracts will be given the opportunity for longer oral presentation at the symposium.
General Expectations (Ethics Guidelines)
At least one author of an accepted submission must attend the symposium to present the work. When submitting your paper you will be asked to provide a complete list of authors even when submitting an anonymized version of the manuscript. This is required to avoid potential conflicts of interest when assigning reviewers. In the event that the authorship changes after submission, one of the initially specified authors must attend the symposium.
Submissions will be treated as confidential communications during the review process, so submission does not constitute public disclosure of any ideas therein. Submissions should contain no information or materials that will be proprietary or confidential at the time of publication (at the symposium), and should cite no publications that are proprietary or confidential at the time of publication. Our symposium will adhere to the VGTC ethics guidelines for reviewers that can be found on the website of the Visualization and Graphics Technical Committee.
Review Process
The Program Committee will involve reviewers from both the visualization and bioinformatics communities. Papers will be reviewed for novelty and contribution. Abstracts will be reviewed for quality and value to the symposium audience as well as format.
Important Dates
Paper submission: Saturday, April 30, 2011
Notification of acceptance of papers: Thursday, June 30, 2011
Abstract submission: Friday, July 8, 2011
Notification of acceptance of abstracts: Monday, August 15, 2011
Camera ready copy: Wednesday, August 31, 2011
Supplemental Material and Formatting Guidelines
Papers can include full-color figures throughout. We encourage the use of digital video to enhance the submission, particularly if part or all of the work addresses interactive techniques. Submission of working code and other supplemental material in order to increase the reproducibility of the work is also encouraged.
The review process will be optionally double-blind for those who want to submit their work anonymously. When submitting for double-blind reviewing you are asked NOT to include any identifying information in the submission. Alternatively, the review process will be single-blind, i.e., the reviewers know the identity of the authors, but the authors do not know the identity of the reviewers.
Links to detailed guidelines for preparing a proper submission and supplementary data can be found on the submissions page. Authors must follow the style guidelines specified therein.
Publications
The symposium proceedings will consist of all accepted papers and will appear in the IEEE Digital Library. All abstracts will be considered a "personal communication" to the symposium attendees. Abstracts will not be published in the proceedings, but will appear in the program, with the distributed symposium materials, and on the symposium website.
To increase the visibility of visualization within the bioinformatics and biology communities, a selection of the best accepted papers will be invited to be published in expanded form in an open-access, peer-reviewed bioinformatics journal.
Submission
Details on how to submit papers and abstract will be provided on the submissions page closer to the submission deadline.
Paper and Poster Awards
Best paper and abstract prizes will be awarded. Submissions that resulted from a successful collaboration between researchers from both the visualization and biology communities will be especially regarded. Reviewers will be queried on the review form with a question "Should we consider this paper/abstract for the best paper/abstract award? (yes/no/maybe)".


Sales forecasting is one of the most common time series analysis problems. Being able to estimate the number of products that a store going to sell in future will allow store managers to prepare the inventory, the number of employees needed minimizes over and under stocking thereby minimizing losses and most importantly maximizes sales and customer satisfaction.
The web application provides an interface by which data scientists or store managers can use past sales data to forecast it from a selected date. In addition to allowing the user to retrain and tune three different time series models, the application also displays the model performance, past information and forecasted predictions visually.
The dataset is propritory sales information of 10 different stores, which are the clients of DataRobot Inc. This data was available to us in CSV format and it included the following features
We also brought week as a variable in our analysis from the date and looked at the variation of sales prices over the three years with heatmaps. The anticipated climb in sales during the weeks of November/December can be easily observed here.
We also brought week as a variable in our analysis from the date and looked at the variation of sales prices over the three years with heatmaps. The anticipated climb in sales during the weeks of November/December can be easily observed here.
To be able to study the trend in features like ‘Num_Employees’ and ‘Num_Customers’ over the time especially during Black Friday and Christmas for a given store, we have visualized the data using plotly. Below we can see the Number of employees required climbs up during the holidays season to able to help high volume of customers needs.
Long short term memory is a modification of the vanilla recurrent neural networks. LSTMs can process entire sequences of data (such as speech or video). This sequence learning capability is LSTM the reason it became a choice for our time series modeling.
Since the size of our dataset is small, walk forward validation has been employed for performance comparison and tuning of our models. The modeling for LSTM has been conditioned on the store. The sales data of a store between the durations from the beginning date until 2014-01-01, 2014-02-01, 2014-03-01, 2014-04-01, and 2014-05-01 has been used for training and the rest of the data has been used in testing during the walk forward cross-validation. The sequence model with 3 LSTM layers has been able to obtain an average RMSE of 18116.48.
An autoregressive integrated moving average, or ARIMA, is a statistical analysis model. It is a forecasting technique that projects the future values of a series based entirely on its own inertia. We have decomposed the dataset into different components like trend, seasonality, residual. Then the data is made stationary using differentiation.
We have used the first 18 months as a part of the training data and the next 6 months as a part of the testing data. The RMSE is calculated for each store and we have obtained an average RMSE of 18565.45 with considering only the Sales as a time-dependent feature.
A different approach of using ARIMA is experimented by considering multiple features of the store but the RMSE did not see any improvement.
XGBoost is a gradient boosting algorithm. It is also known as regularized boosting which has a good bias-variance tradeoff to reduce overfitting (which lacks in GBM). In order to use the supervised machine learning algorithms on time series data, we have used feature engineering techniques to extract time-related features like dayofweek, quarter, year, month, day. Also to capture the seasonality of the data, we have created Moving Averages and lags of different time windows which are extracted using autocorrelation.
We used the first 18 months of data as part of training dataset and last six months as the test dataset. For model evaluation, we have used root mean square error (RMSE). In the initial model design we have considered all the extracted and static features until the present day (i.e., to predict the sales at time ‘t’ we used features until time ‘t’), which resulted in a better model performance with RMSE value of 6138.18 for XGBoost model. As suggested, we have restricted the features to time step ‘t-1’ (i.e., to predict sales at ‘t’ we gave the features until time step ‘t-1’ as input to model) and observed increase in RMSE value to 6956.57 on test data.
To have a better understanding of the model performance variability we have used forward validation (explained more in the next section) where we received an average RMSE value of 6131.95.
Cross-validation plays a major role in evaluating the model performance variability. As we can’t use K-Fold cross-validation on time series data, we have approached using forward testing or nested cross-validation. It is a practical approach to validate the model performance as the test data increases chronologically after the training data. We have considered first 18 months as training dataset and next month as test dataset in the first step, which will be increased by one month chronologically in each step for both train and test datasets as indicated in the below figure.
Below is the plot indicating the forecasted sales in each step of cross-validation for store ‘Louisville’ (user will be provided onto select the store and directed to the respective plot on selection in D3). We have used plotly to plot the forecasted sales.
The original sketch is to show multiple area plots having a shared x-axis. Instead of having multiple area charts, a stacked area chart is chosen to visualize the historical sales data across all the stores over time .The idea is to see the sales across different stores on a particular day and this can be seen in the final graph interactively by hovering on a particular day. Different colors are used for different stores to show the variations. The below plot shows a static snapshot of the stacked area chart. Interactivity: A date range slide bar will be included to zoom in and zoom out. On hovering a particular day in the plot the sales across all the stores for a day are shown using a tooltip.
On selecting a particular store in the stacked area chart it links to the index chart below Showing the forecast results for that particular store for the next 10 days.


{%extends 'base.html'%} {% block content %}
Image Details
{{image.image_description}}
Copy Image Link


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{% load static %}
To prepare participants for lifetime employability Career Development Cell assists participants from career profiling till interview assistance to prepare them for lifetime employability. The cell helps to discover opportunities based on their domain background, qualifications and previous work experiences. One-on-one interaction sessions are held with the in-house team of faculty members and industry experts.
Placement Overview - The placements team assists the students in managing the recruitment process. Career building services: Career mapping to identify the right role, function, and industry considering the total work experience, skill sets, and the career aspirations Resume review workshops Mock interviews are conducted by an in-house panel comprising of faculty and industry specialists
Profile Mapping – As part of the programme, assistance is provided to the participants for detailed career profiling and interview assistance. This exercise is extended to participants to discover opportunities based on their domain background, qualifications and previous work experiences.


My name is Serene Medina! My friend introduced me to World of Warcraft over a year ago, and I have been playing since November 2017.
My main character is a blood elf paladin (retribution). Continue looking through my site for more on my World of Warcraft experience. Enjoy! :)
WRITE ABOUT THE BURNING CRUSADE
LINK TO TRAILER OF BURNING CRUSADE OR ADD VIDEO
WRITE ABOUT WLK
LINK TO TRAILER
WRITE ABOUT CATACLYSM
LINK TO TRAILER
WRITE ABOUT Warlords of Draenor
LINK TO TRAILER
WRITE ABOUT Mists of Pandaria
LINK TO TRAILER
WRITE ABOUT LEGION
LINK TO TRAILER
WRITE ABOUT BFA
LINK TO TRAILER
Click this link to see pictures of my World of Warcraft experience! :)


cradle elastic
Manage the Elasticsearch instances for a Cradle instance.
More information: home page
- Truncate the Elasticsearch index:
cradle elastic flush
- Truncate the Elasticsearch index for a specific package:
cradle elastic flush package_name
- Submit the Elasticsearch schema:
cradle elastic map
- Submit the Elasticsearch schema for a specific package:
cradle elastic map package_name
- Populate the Elasticsearch indices for all packages:
cradle elastic populate
- Populate the Elasticsearch indices for a specific package:
cradle elastic populate package_name


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface RequestProgressTracker
The RequestProgressTracker
class provides the functionality to
track the progress of request processing. Instances of this class are
provided through the
SlingHttpServletRequest.getRequestProgressTracker()
method.
The following functionality is provided:
log(String)
and log(String, Object...)
methods.
startTimer(String)
,
logTimer(String)
and logTimer(String, String, Object...)
methods.
dump(PrintWriter)
method.
getMessages()
method.
Tracking Request Processing
As the request being processed, certain steps may be tracked by calling
either of the log
methods. A tracking entry consists of a time
stamp managed by this class and a tracking message noting the actual step
being tracked.
Timing Processing Steps
Certain steps during request processing may need to be timed in that the time required for processing should be recorded. Instances of this class maintain a map of named timers. Each timer is started (initialized or reset) by calling thestartTimer(String)
method. This method just records the
starting time of the named timer and adds a tracking entry with the timer
name as the message.
To record the number of milliseconds elapsed since a timer has been started,
the logTimer(String)
or logTimer(String, String, Object...)
method may be called. This method logs a tracking entry with a message
consisting of the name of the timer and the number of milliseconds elapsed
since the timer was last started
. The
logTimer
methods may be called multiple times to record
several timed steps.
Calling the startTimer(String)
method with the name of timer which
already exists, resets the start time of the named timer to the current
system time.
Retrieving Tracking Entries
The dump(PrintWriter)
method may be used to write the tracking
entries to the given PrintWriter
to for example log them in a
HTML comment. Alternatively the tracking entries may be retrieved as an
iterator of messages through the getMessages()
method. The
formatting of the tracking entries is implementation specific.
| Method Summary | |
|---|---|
void |
done()
Call this when done processing the request - all calls except the first one are ignored |
void |
dump(java.io.PrintWriter writer)
Dumps the process timer entries to the given writer, one entry per line. |
java.util.Iterator<java.lang.String> |
getMessages()
Returns an Iterator of tracking entries. |
void |
log(java.lang.String message)
Creates an entry with the given message |
void |
log(java.lang.String format,
java.lang.Object... args)
Creates an entry with a message constructed from the given MessageFormat format evaluated using the given formatting
arguments. |
void |
logTimer(java.lang.String timerName)
Logs an entry with the message set to the name of the timer and the number of milliseconds elapsed since the timer start. |
void |
logTimer(java.lang.String timerName,
java.lang.String format,
java.lang.Object... args)
Logs an entry with the message constructed from the given MessageFormat pattern evaluated using the given arguments
and the number of milliseconds elapsed since the timer start. |
void |
startTimer(java.lang.String timerName)
Starts a named timer. |
| Method Detail |
|---|
void log(java.lang.String message)
void log(java.lang.String format, java.lang.Object... args)
MessageFormat
format evaluated using the given formatting
arguments.
void startTimer(java.lang.String timerName)
void logTimer(java.lang.String timerName)
void logTimer(java.lang.String timerName, java.lang.String format, java.lang.Object... args)
MessageFormat
pattern evaluated using the given arguments
and the number of milliseconds elapsed since the timer start.
java.util.Iterator<java.lang.String> getMessages()
Iterator
of tracking entries.
If there are no messages null
is returned.
void dump(java.io.PrintWriter writer)
void done()
|
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Welcome to our Bakery!
Our bread is made from freshly ground wheat berries and other organic ingredients!
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Our bread is made from freshly ground wheat berries and other organic ingredients!
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Our bread is made from freshly ground wheat berries and other organic ingredients!
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Our bread is made from freshly ground wheat berries and other organic ingredients!


Overview
GEOTRANS (Geographic Translator) allows you to convert geographic coordinates among a wide variety of coordinate systems, map projections, grids, datums, and Earth gravity models.
The user interface of GEOTRANS consists primarily of a single window. To convert coordinates, select the coordinate reference frame and datum in which your coordinates are defined, enter any associated parameters, and enter the coordinates in the upper half of the window. Then select the coordinate reference frame and datum to which you want the coordinates to be converted, and enter any associated parameters, in the lower half of the window. Click on the Convert: Upper-to-Lower button, and the resulting coordinates will be displayed in the lower half of the window. You can convert additional coordinate sets from the same source by just entering the new coordinates and clicking on the Convert: Upper-to-Lower button. You can change the coordinate reference frame, datum, or parameter selections at any time. Also, you can reverse the roles of input and output by using the Convert: Lower-to-Upper button.
GEOTRANS can also be used to efficiently convert large numbers of coordinates contained in text files. The file format is very simple. A multiline file header defines the coordinate reference frame and datum of the coordinates contained in the file, including any associated parameter values. Following the header, each line contains a single set of coordinates, separated by commas followed by at least one space. Using the GEOTRANS file processing interface, you can select an existing file of coordinates to be converted. You can then define the coordinate reference frame and datum to which you want to convert the coordinates, along with any associated parameter values. Finally, you can specify the name and location of the output file that is to be created. GEOTRANS then converts all of the coordinates in the input file and creates the output file as a single operation.


{%extends 'base.html'%} {% load static%} {% block content %}
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When? Who? Does what, do what.
Game:
Modes
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Restrictions
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Available parts
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module ActiveRecord::TestFixtures::ClassMethods
Public Instance Methods
fixtures(*fixture_set_names)
click to toggle source
# File lib/active_record/fixtures.rb, line 868 def fixtures(*fixture_set_names) if fixture_set_names.first == :all fixture_set_names = Dir["#{fixture_path}/{**,*}/*.{yml}"] fixture_set_names.map! { |f| f[(fixture_path.to_s.size + 1)..-5] } else fixture_set_names = fixture_set_names.flatten.map { |n| n.to_s } end self.fixture_table_names |= fixture_set_names setup_fixture_accessors(fixture_set_names) end
set_fixture_class(class_names = {})
click to toggle source
Sets the model class for a fixture when the class name cannot be inferred from the fixture name.
Examples:
set_fixture_class some_fixture: SomeModel, 'namespaced/fixture' => Another::Model
The keys must be the fixture names, that coincide with the short paths to the fixture files.
# File lib/active_record/fixtures.rb, line 864 def set_fixture_class(class_names = {}) self.fixture_class_names = self.fixture_class_names.merge(class_names.stringify_keys) end
setup_fixture_accessors(fixture_set_names = nil)
click to toggle source
# File lib/active_record/fixtures.rb, line 880 def setup_fixture_accessors(fixture_set_names = nil) fixture_set_names = Array(fixture_set_names || fixture_table_names) methods = Module.new do fixture_set_names.each do |fs_name| fs_name = fs_name.to_s accessor_name = fs_name.tr('/', '_').to_sym define_method(accessor_name) do |*fixture_names| force_reload = fixture_names.pop if fixture_names.last == true || fixture_names.last == :reload @fixture_cache[fs_name] ||= {} instances = fixture_names.map do |f_name| f_name = f_name.to_s @fixture_cache[fs_name].delete(f_name) if force_reload if @loaded_fixtures[fs_name][f_name] @fixture_cache[fs_name][f_name] ||= @loaded_fixtures[fs_name][f_name].find else raise StandardError, "No fixture named '#{f_name}' found for fixture set '#{fs_name}'" end end instances.size == 1 ? instances.first : instances end private accessor_name end end include methods end
uses_transaction(*methods)
click to toggle source
# File lib/active_record/fixtures.rb, line 911 def uses_transaction(*methods) @uses_transaction = [] unless defined?(@uses_transaction) @uses_transaction.concat methods.map { |m| m.to_s } end
uses_transaction?(method)
click to toggle source
# File lib/active_record/fixtures.rb, line 916 def uses_transaction?(method) @uses_transaction = [] unless defined?(@uses_transaction) @uses_transaction.include?(method.to_s) end


Feedback Love
During this last 8 weeks I've received and gave feedback in a frequency that I never done before. It feels great an it shapes the way I flow.
I remember on my 3rd year working at Ernst and Young we had the international Feedback year. Being EY a multinational consulting group whit 100,000 employees and a strict pyramidal structure they invest a lot of resources teaching about feedback through seminars in hotels to webinars. I have to say that that experience opened me to identify any 'Trigger': TRUTH, RELATIONSHIP, and IDENTITY.
The fact that I had previous training even in body language when giving and receiving feedback does not mean that I'm a feedback ninja. But a little more aware of my feeling, sorting, filtering, experimenting, and not taking things personal, etc.
I found that at DBC feedback is more useful when it is given right away, or as soon as possible. We are a generation that is getting use to instant satisfaction but that is not the only reason, I think it's because we are doing so many things a day that feedback when that challenge it’s still fresh is better.
Comparing a cohort mate's feedback provided the same day of the pair session to one about a challenge that I wrote two weeks ago, the first one it's easier to internalize all it’s there easy to filter and let the process reshape my behavior or learn new tricks. A feedback with delay requires a little more effort to go over the challenge and code, kind of remember feelings and frustrations that are hopefully written on the reflection and then take things out from there in combination to the feedback.
Feedback is the way to grow and learn, it is what makes this alternative educational experience possible. On Phase 0 I've learned more from my cohort mates feedback that from instructors. The more feedback I give, and I think writing issues on Github is my favorite, the more I contribute to the co-creation of this crazy experience.
The more specific, kind and actionable my feedback is, the better for me and for everybody at DBC.
Giving meaningful positive feedback is a responsibility that we all have; it doesn't require much more effort than being present and empathetic. Give to someone something with the same standards you will like to receive from him or her.
Meta feedback have putted me back in track after some experiments, issues on github teaches me and makes me aware that there is always someone reading, pair session feedback reshapes my behaviors and lot of time I can show them with a smile in my face.
Feedback as waxing my snowboard, pumping my MTB wheels, or checking my rock climbing rope prepares me to face the elements. And like tuning my guitar, makes the whole experience more harmonic.


{% extends "base.html" %} {% block title %}Invitations Already Sent{% endblock %} {% block body %}
Invitations have already been sent for {{uni}}. If you believe this was done in error, click the button below to email the administrator.
{% endblock %}


val address: String
the URL of the server to connect to
address - the URL of the server to connect to
address


|
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| Packages that use PersistenceCapable | |
|---|---|
| javax.jdo.spi | This package contains the interfaces and classes used by JDO implementations. |
| Uses of PersistenceCapable in javax.jdo.spi |
|---|
| Methods in javax.jdo.spi that return PersistenceCapable | |
|---|---|
PersistenceCapable |
PersistenceCapable.jdoNewInstance(StateManager sm)
Return a new instance of this class, with the jdoStateManager set to the parameter, and jdoFlags set to LOAD_REQUIRED. |
PersistenceCapable |
PersistenceCapable.jdoNewInstance(StateManager sm,
java.lang.Object oid)
Return a new instance of this class, with the jdoStateManager set to the parameter, key fields initialized to the values in the oid, and jdoFlags set to LOAD_REQUIRED. |
PersistenceCapable |
JDOImplHelper.newInstance(java.lang.Class pcClass,
StateManager sm)
Create a new instance of the class and assign its jdoStateManager . |
PersistenceCapable |
JDOImplHelper.newInstance(java.lang.Class pcClass,
StateManager sm,
java.lang.Object oid)
Create a new instance of the class and assign its jdoStateManager and key values from the ObjectId. |
| Methods in javax.jdo.spi with parameters of type PersistenceCapable | |
|---|---|
boolean |
StateManager.getBooleanField(PersistenceCapable pc,
int field,
boolean currentValue)
Return the value for the field. |
byte |
StateManager.getByteField(PersistenceCapable pc,
int field,
byte currentValue)
Return the value for the field. |
char |
StateManager.getCharField(PersistenceCapable pc,
int field,
char currentValue)
Return the value for the field. |
double |
StateManager.getDoubleField(PersistenceCapable pc,
int field,
double currentValue)
Return the value for the field. |
float |
StateManager.getFloatField(PersistenceCapable pc,
int field,
float currentValue)
Return the value for the field. |
int |
StateManager.getIntField(PersistenceCapable pc,
int field,
int currentValue)
Return the value for the field. |
long |
StateManager.getLongField(PersistenceCapable pc,
int field,
long currentValue)
Return the value for the field. |
java.lang.Object |
StateManager.getObjectField(PersistenceCapable pc,
int field,
java.lang.Object currentValue)
Return the value for the field. |
java.lang.Object |
StateManager.getObjectId(PersistenceCapable pc)
Return the object representing the JDO identity of the calling instance. |
PersistenceManager |
StateManager.getPersistenceManager(PersistenceCapable pc)
Return the PersistenceManager that owns this instance. |
short |
StateManager.getShortField(PersistenceCapable pc,
int field,
short currentValue)
Return the value for the field. |
java.lang.String |
StateManager.getStringField(PersistenceCapable pc,
int field,
java.lang.String currentValue)
Return the value for the field. |
java.lang.Object |
StateManager.getTransactionalObjectId(PersistenceCapable pc)
Return the object representing the JDO identity of the calling instance. |
java.lang.Object |
StateManager.getVersion(PersistenceCapable pc)
Return the object representing the version of the calling instance. |
boolean |
StateManager.isDeleted(PersistenceCapable pc)
Tests whether this object has been deleted. |
boolean |
StateManager.isDirty(PersistenceCapable pc)
Tests whether this object is dirty. |
boolean |
StateManager.isLoaded(PersistenceCapable pc,
int field)
Return true if the field is cached in the calling
instance. |
boolean |
StateManager.isNew(PersistenceCapable pc)
Tests whether this object has been newly made persistent. |
boolean |
StateManager.isPersistent(PersistenceCapable pc)
Tests whether this object is persistent. |
boolean |
StateManager.isTransactional(PersistenceCapable pc)
Tests whether this object is transactional. |
void |
StateManager.makeDirty(PersistenceCapable pc,
java.lang.String fieldName)
Mark the associated PersistenceCapable field dirty. |
void |
StateManager.preSerialize(PersistenceCapable pc)
Guarantee that the serializable transactional and persistent fields are loaded into the instance. |
void |
StateManager.providedBooleanField(PersistenceCapable pc,
int field,
boolean currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedByteField(PersistenceCapable pc,
int field,
byte currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedCharField(PersistenceCapable pc,
int field,
char currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedDoubleField(PersistenceCapable pc,
int field,
double currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedFloatField(PersistenceCapable pc,
int field,
float currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedIntField(PersistenceCapable pc,
int field,
int currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedLongField(PersistenceCapable pc,
int field,
long currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedObjectField(PersistenceCapable pc,
int field,
java.lang.Object currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedShortField(PersistenceCapable pc,
int field,
short currentValue)
The value of the field requested to be provided to the StateManager . |
void |
StateManager.providedStringField(PersistenceCapable pc,
int field,
java.lang.String currentValue)
The value of the field requested to be provided to the StateManager . |
static void |
JDOImplHelper.registerClass(java.lang.Class pcClass,
java.lang.String[] fieldNames,
java.lang.Class[] fieldTypes,
byte[] fieldFlags,
java.lang.Class persistenceCapableSuperclass,
PersistenceCapable pc)
Register metadata by class. |
boolean |
StateManager.replacingBooleanField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
byte |
StateManager.replacingByteField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
char |
StateManager.replacingCharField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
double |
StateManager.replacingDoubleField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
byte |
StateManager.replacingFlags(PersistenceCapable pc)
The owning StateManager uses this method to supply the
value of the flags to the PersistenceCapable instance. |
float |
StateManager.replacingFloatField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
int |
StateManager.replacingIntField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
long |
StateManager.replacingLongField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
java.lang.Object |
StateManager.replacingObjectField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
short |
StateManager.replacingShortField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
StateManager |
StateManager.replacingStateManager(PersistenceCapable pc,
StateManager sm)
Replace the current value of jdoStateManager . |
java.lang.String |
StateManager.replacingStringField(PersistenceCapable pc,
int field)
The replacement value of the field in the calling instance. |
void |
StateManager.setBooleanField(PersistenceCapable pc,
int field,
boolean currentValue,
boolean newValue)
Mark the field as modified by the user. |
void |
StateManager.setByteField(PersistenceCapable pc,
int field,
byte currentValue,
byte newValue)
Mark the field as modified by the user. |
void |
StateManager.setCharField(PersistenceCapable pc,
int field,
char currentValue,
char newValue)
Mark the field as modified by the user. |
void |
StateManager.setDoubleField(PersistenceCapable pc,
int field,
double currentValue,
double newValue)
Mark the field as modified by the user. |
void |
StateManager.setFloatField(PersistenceCapable pc,
int field,
float currentValue,
float newValue)
Mark the field as modified by the user. |
void |
StateManager.setIntField(PersistenceCapable pc,
int field,
int currentValue,
int newValue)
Mark the field as modified by the user. |
void |
StateManager.setLongField(PersistenceCapable pc,
int field,
long currentValue,
long newValue)
Mark the field as modified by the user. |
void |
StateManager.setObjectField(PersistenceCapable pc,
int field,
java.lang.Object currentValue,
java.lang.Object newValue)
Mark the field as modified by the user. |
void |
StateManager.setShortField(PersistenceCapable pc,
int field,
short currentValue,
short newValue)
Mark the field as modified by the user. |
void |
StateManager.setStringField(PersistenceCapable pc,
int field,
java.lang.String currentValue,
java.lang.String newValue)
Mark the field as modified by the user. |
|
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Review your variation of rights
Please confirm that the information you have provided for Templeton Metal Works Ltd share capital is correct.
Variation of rights
Date of variation of rights: 30 June 2016
Please confirm that the information you have provided for Templeton Metal Works Ltd share capital is correct.
Date of variation of rights: 30 June 2016


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{% load static %}
{% url 'home' as home %}
{% url 'account_logout' as logout %}
{% url 'account_login' as login %}
{% url 'recruiters:add-job' as addjob %}
{% url 'candidates:jobs' as jobs %}
{% url 'recruiters:applicants' request.user.profile.slug as applicants %}
{% url 'recruiters:recruiter-detail-page' request.user.pk as myjob %}
{% if rec_navigation %}
{% else %}
{% endif %}


--- layout: post title: Kids playground date: '2014-08-14T07:30:28+02:00' categories: - Architecture sketches picture_url: https://film-Storyboards.tumblr.com/post/94719568750/architecture-Sketches ---


IRISNET (Internet-scale Resource-Intensive Sensor Network Service)
Home
Download
Bugs
Documentation
News
Mailing lists
FAQ
Research
Today's common computing hardware - Internet connected desktop PCs and inexpensive, commodity off-the-shelf sensors such as Webcams - is an ideal platform for a worldwide sensor web. IrisNet provides a software infrastructure for this platform that lets users query globally distributed collections of high-bit-rate sensors powerfully and efficietly.
Authoring and deploying sensing services requires addressing a number of challenges related to data acquisition and processing, placement and replication of the sensor data for availability and performance, query processing on the widely distributed sensor data, data integrity and privacy etc. IrisNet aims to provide these generic functionalities as well as a simple programming interface such that the service author can easily write their new sensing services.
IrisNet takes a database centric approach in its design. Service authors specify the new service through a set of XML documents. IrisNet implements service-specific distributed XML databases of the sensor data and provides high level APIs to query and process the sensor data. For more details, please see our publications.
On this web site you can find the code for IrisNet and documentation on how to use it. IrisNet is mostly written in Java and has been proven useful to a number of real systems. If you have a project that needs collecting and querying frequently changing data, give IrisNet a try, and please feel free to contact us if you have any questions, comments, etc.


Desktop 2.5-inch Solid State Drives
L&A Black
Where to Buy |
Feature
The power of black
L&A has redefined the PC with the next big thing in ultra-fast
performance storage. Introducing L&A Black, the world's largest 2.5-inch
solid state drives storage. The L&A Black solid state drive is a
completely new approach in the solid-state storage market.
Finally you can have the speed faster that you want and the
capacity of a hard drive that you need in your notebook or all-in-one PC.
Inspired by you
Your requests to make the notebook and all-in-one PC experience
better, faster and more dynamic have been heard. We took the
challenge and made it our mission to design a storage solution that
delivers the ultimate experience. The L&A Black solid state drive
solves your storage limitations and adds true high-performance SSD
speed to your PC. The L&A Black is the drive you were waiting for,
inspired by and created specifically for enthusiasts like you.
Professional performance
L&A Black is built by world-class solid state storage devices
to create the ultimate experience for notebooks and
all-in-one PCs. Boot up faster to your operating system with the speed
of SSD at your fingertips. L&A Black features innovative 20nm NAND
flash with remarkable power efficiency that is poised to redefine what is
possible in the storage industry.
For the creative pro
Now you can load your OS, photo and video editing programs on the
SSD and save all of your capacity-heavy RAW photo and video files
without getting worried. Keep it all local and readily available on
your notebook or all-in-one PC without slowing system performance.
For the gamer inside you
Turn your dual-purpose notebook or all-in-one PC into the high-
performance gaming machine of your dreams. The solid state drive's
fully allows you to place your OS and favorite game software
directly on the SSD which results in faster boot times and smoother
game play while still having separate storage capacity available
for your work and personal files.
Finessing perfection
L&A Black combines the shock and vibration resistance of SSD with
advance technology of the HDD for one truly agile and highly reliable
solid state drive storage solution. Advanced firmware and intelligent
algorithms assist in heightened performance, resulting in cooler
temperatures with nearly inaudible operation.
Ideal for:
Upgrades of notebooks and all-in-one computers by advanced users
and system integrators. Users of video and photo editing, graphic
design, games and other power computing applications will benefit
the most.


| 002:136 Khan | : |
Say (O Muslims), "We believe in Allah and that which has been sent down to us and that which has been sent down to Ibrahim (Abraham), Isma'il (Ishmael), Ishaque (Isaac), Ya'qub (Jacob), and to Al-Asbat [the twelve sons of Ya'qub (Jacob)], and that which has been given to Musa (Moses) and 'Iesa (Jesus), and that which has been given to the Prophets from their Lord. We make no distinction between any of them, and to Him we have submitted (in Islam)." |
| 002:136 Maulana | : |
Say: We believe in Allah and (in) that which has been revealed to us, and (in) that which was revealed to Abraham, and Ishmael and Isaac and Jacob and the tribes, and (in) that which was given to Moses and Jesus, and (in) that which was given to the prophets from their Lord, we do not make any distinction between any of them and to Him do we submit. |
| 002:136 Pickthal | : |
Say (O Muslims): We believe in Allah and that which is revealed unto us and that which was revealed unto Abraham, and Ishmael, and Isaac, and Jacob, and the tribes, and that which Moses and Jesus received, and that which the prophets received from their Lord. We make no distinction between any of them, and unto Him we have surrendered. |
| 002:136 Rashad | : |
Say, "We believe in GOD, and in what was sent down to us, and in what was sent down to Abraham, Ismail, Isaac, Jacob, and the Patriarchs; and in what was given to Moses and Jesus, and all the prophets from their Lord. We make no distinction among any of them. To Him alone we are submitters." |
| 002:136 Sarwar | : |
(Muslims), say, "We believe in God and what He has revealed to us and to Abraham, Ishmael, Isaac, and their descendants, and what was revealed to Moses, Jesus, and the Prophets from their Lord. We make no distinction among them and to God we have submitted ourselves." |
| 002:136 Shakir | : |
Say: We believe in Allah and (in) that which had been revealed to us, and (in) that which was revealed to Ibrahim and Ismail and Ishaq and Yaqoub and the tribes, and (in) that which was given to Musa and Isa, and (in) that which was given to the prophets from their Lord, we do not make any distinction between any of them, and to Him do we submit. |
| 002:136 Sherali | : |
Say ye, 'We believe in ALLAH and what has been revealed to us, and what was revealed to Abraham and Ishmael, and Isaac and Jacob and his children and what was given to Moses and Jesus, and what was given to all other Prophets from their Lord. We make no distinction between any of them; and to HIM we submit ourselves.' |
| 002:136 Yusufali | : |
Say ye: "We believe in Allah, and the revelation given to us, and to Abraham, Isma'il, Isaac, Jacob, and the Tribes, and that given to Moses and Jesus, and that given to (all) prophets from their Lord: We make no difference between one and another of them: And we bow to Allah (in Islam)." |
Concepts/Themes Covered: أركان الإسلام > الدين > المسلمون Pillars of Islam> Religion> The Moslems الإيمان > الإيمان بالله > حقيقة الإيمان Faith> Belief In Allah> The Reality of Faith القرآن الكريم > وصفه ووجوب الإيمان به The Holy Quran> The Description and the Necessity to Believe it القصص والتاريخ > الأسباط The Stories and the History>(12 Sons of Jacob)
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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about earthquake early warning, visit the U.S.
Geological Survey
ShakeAlert Site.
Please Provide Feedback on this app to help improve earthquake safety in Los Angeles.


{% extends 'main/base.html' %} {% block title %} Phenology Analysis Suite {% endblock %} {% load static %} {% block content %}
A suite of analysis tools to study the phenology of deciduous forests. These analyses are powered by machine learning applied to time series of images captured of deciduous forest sites.
Manage your phenology data across multiple locations.
Upload images from the site to take advantage of machine learning algorithms to classify
and determine phenophases and transition dates.
Analyize site phenophase onset and duration trends.
Select a site to view tables and graphs of bud burst and leaf senescence onset dates and durations,
as well as view images of the site at said phenophase transition dates.
Analyize aggregate phenophase onset and duration trends.
View tables and graphs of the average bud burst and leaf senescence onset dates and durations,
across all sites as well as view images of the site at said phenophase transition dates.
Analyize spatial trends of bud burst and leaf senescence phenophases across multiple sites.
Using an interactive GIS map, view the spatial patterns between sites' locations of onset dates
and durations of bud burst and leaf senescence phenophases.


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{% extends "global/Page.html" %} {% load otree static %} {% block title %} Round {{ subsession.round_number }} – Your Vote {% endblock %} {% block content %}
You are Member {{ player.id_in_group }}.
The proposer in this Round was Member {{ group.proposer }}.
This is the allocation proposed by the proposer:
| Member 1 | Member 2 | Member 3 |
| {{ group.chosen_offer_to_1 }} | {{ group.chosen_offer_to_2 }} | {{ group.chosen_offer_to_3 }} |


[§321-27.5] Audit of sanitation branch. The department shall perform annual audits of the sanitation branch to be completed by November30 of each year, and shall include an audit of:
(1) Fees collected;
(2) The number and results of sanitation inspections;
(3) The number of training seminars held; and
(4) The cost of training personnel in the sanitation branch. [L 1997, c 334, pt of §1]


(Route : Help Menu, Submit Report Command)
The Submit Problem Report Dialog box allows you to post a report about a problem, question or request in relation to Ameol.
This is a Hot Spot image. Move your mouse pointer over the image
and when the mouse pointer changes to the shape of a hand click
the left mouse button once for extra help.
In the Choose the nature of the report area select whether this report is about a bug, a request for future improvements, a query or an addon.
Also select whether the report should be considered of high, medium or low priority.
Now enter a description of your problem. You should include all relevant details but try to keep the report short and please don't include any Microsoft Dr. Watson logs.
When you have finished your report click the Save button. Your report will be posted the next time Ameol connects.
If you are unable to connect to send a report:
You can contact our Support department - please click here.


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This website was last updated on 18 Oct 2013. This Privacy explains how the WeatherOnline Ltd will process your personal information.
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Designing the beautiful impossibilities that we want to live in. Bringing together form and function to give you the ultimate dream house.


Wondering what you're going to do today? Need ideas for a date, or an outing with friends?
Well, you've come to the right place!
45
Indoor (Bad Weather)
- Movies
- Restuarant
- Netflix
- Bowling
- Video Games
- Roller Skating
- Gym
Outdoor (Cold Weather)
- Ice Skating
- Skiing
- Snowboarding
- Sledding
Outdoor (Warm Weather)
- Beach
- Hiking
- Camping
- Fishing
- Amusement Park
- Zoo
- Aquarium
- Museum
- Fairs/ Carnivals
- Ice Cream
- Frozen Yogurt
- Resturants
- Exploring/ Traveling
- Gym
- Sports
- Swimming
- Bicycling
- Basketball
- Tennis
- Baseball
- Kickball
- Soccor
- Football
- Running
- Kayaking
- Conoeing
- Cookout
- Window Shopping
- Cooking/ Cooking Classes
- Dancing/ Dance Classes
- Aerobics


1 write to UnoptimizedLocalsMutableTupleType
System.Management.Automation (1)
engine\parser\Compiler.cs (1)
2039
scriptBlock.
UnoptimizedLocalsMutableTupleType
= LocalVariablesTupleType;
1 reference to UnoptimizedLocalsMutableTupleType
System.Management.Automation (1)
engine\runtime\CompiledScriptBlock.cs (1)
1269
_scriptBlockData.
UnoptimizedLocalsMutableTupleType
,


Package mars.venus
package mars.venus
-
ClassDescriptionAbstract class for a font selection dialog.Sets up a window to display registers in the UI.Sets up a window to display Coprocessor 1 registers in the Registers pane of the UI.Represents the Data Segment window, which is a type of JInternalFrame.Action for the Edit -> Copy menu itemAction for the Edit -> Cut menu itemAction for the Edit -> Find/Replace menu itemManage the file being edited.Represents one file opened for editing.Action for the Edit -> Paste menu itemAction for the Edit -> Redo menu itemAction for the Edit -> Copy menu itemTabbed pane for the editor.Action for the Edit -> Undo menu itemContainer for the execution-related windows.Action for the File -> Close menu itemAction for the File -> Close All menu itemAction for the File -> Save For Dump Memory menu itemAction for the File -> Exit menu itemAction for the File -> New menu itemAction for the File -> Open menu itemAction for the File -> Print menu itemAction for the File -> Save menu itemAction for the File -> Save All menu itemAction for the File -> Save As menu itemUsed to store and return information on the status of the current ASM file that is being edited in the program.Parent class for Action subclasses to be defined for every menu/toolbar option.HardcopyWriter class from the book "Java Examples in a Nutshell, 3rd Edition" by David Flanagan.Action for the Help -> About menu itemAction for the Help -> Help menu itemRepresents the Labels window, which is a type of JInternalFrame.Creates the tabbed areas in the UI and also created the internal windows that exist in them.Creates the message window at the bottom of the UI.Use to select base for displaying numbers.Contains tabbed areas in the UI to display register contentsSets up a window to display registers in the UI.
RepeatButton
is aJButton
which contains a timer for firing events while the button is held down.Action class for the Run -> Assemble menu item (and toolbar icon)Action for the Run -> Backstep menu itemAction class for the Run menu item to clear execution breakpoints that have been set.Action class for the Run -> Go menu item (and toolbar icon)Action class for the Run -> Pause menu item (and toolbar icon)Action for the Run -> Reset menu itemClass for the Run speed slider control.Action for the Run -> Step menu itemAction class for the Run -> Stop menu item (and toolbar icon)Action class for the Run menu item to clear execution breakpoints that have been set.Action class for the Settings menu item to control number base (10 or 16) of memory addresses.Action class for the Settings menu item to determine whether assemble operation applies only to current file or to all files in its directory.Action class for the Settings menu item to control automatic assemble of file upon opening.Action class for the Settings menu item to control delayed branching.Action class for the Settings menu item for text editor settings.Action class for the Settings menu item for optionally loading a MIPS exception handler.Action class for the Settings menu item to control use of extended (pseudo) instructions or formats.Action class for the Settings menu item for text editor settings.Action class for the Settings menu item to control display of Labels window (symbol table).Action class for the Settings menu item for text editor settings.Action class for the Settings menu item to control use of popup dialog for input syscalls.Action class for the Settings menu item to control whether or not program arguments can be entered and used.Action class for the Settings menu item to control whether the running MIPS program can write to the text segment or branch to the data segment.Action class for the Settings menu item to control whether or not the program should start execution at "main" labelAction class for the Settings menu item to control number base (10 or 16) of memory/register contents.Action class for the Settings menu item to control whether or not assembler warnings are considered errors.Factory to create instances of JFileChooser using the system look and feelCreates the Text Segment window in the Execute tab of the UIConnects a MarsTool class (class that implements MarsTool interface) to the Mars menu system by supplying the response to that tool's menu item selection.This class provides functionality to bring external Mars tools into the Mars system by adding them to its Tools menu.Top level container for Venus GUI. -
ExceptionDescriptionThis is the exception class that the HardcopyWriter constructor throws when the user clicks "Cancel" in the print dialog box.


Welcome to
Plant Purpose
A plant management system, which helps plant owners take better care of their plants.
Feature One Details
Voluptate Ullamco, Voluptate Ullamco, Voluptate Ullamco, Voluptate Ullamco
Feature Two Details
Voluptate Ullamco, Voluptate Ullamco, Voluptate Ullamco, Voluptate Ullamco
Feature Three Details
Voluptate Ullamco, Voluptate Ullamco, Voluptate Ullamco, Voluptate Ullamco


Rachel Notley (Speeches 2015 - 2017)
Speech Details
nlp Tagged Terms (Word Cloud)
nlp Parts of Speech (Frequency List topK)
nlp Parts of Speech (Tags and Terms Tree)
Top


Survey Form
This is a Survey Form
Name
Email
Number
choose one
choose two
Very Good
Very Bad
Cycling
Tracking
submit


Reports any import
statements which cover single classes (as opposed to
entire packages).
Some coding standards prohibit such import
statements.
Since IDEA can automatically detect and fix such statements with its "Optimize Imports" command, this inspection is mostly useful for off-line reporting on code bases that you don't intend to change.


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| JPS_3D (const char *cMap, const char val_free, int xDim, int yDim, int zDim, JPS_NEIB jn=JPS_NEIB()) |
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double | plan (int xStart, int yStart, int zStart, int xGoal, int yGoal, int zGoal, std::list< std::array< int, 3 >> &xyzPath, double eps=1) |
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bool | isFree (int x, int y, int z) const |
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bool | isOutside (int x, int y, int z) const |
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bool | isEdge (int x, int y, int z) const |
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void | spin (Astate *currNode_pt) |
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void | jump (int x, int y, int z, int dx, int dy, int dz) |
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bool | hasForced (int x, int y, int z, int dx, int dy, int dz, int norm1) const |
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const char * | cMap_ |
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const char | val_free_ |
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int | xDim_ |
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int | yDim_ |
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int | zDim_ |
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int | xyDim_ |
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int | cMapLength_ |
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PriorityQueue | pq_ |
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HashMap | hm_ |
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std::vector< bool > | seen_ |
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JPS_NEIB | jn_ |
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double | eps_ |
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int | xGoal_ |
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int | yGoal_ |
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int | zGoal_ |
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int | xJump_ |
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int | yJump_ |
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int | zJump_ |
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bool | goal_outside_ |
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The documentation for this class was generated from the following files:
- include/jps3d/nx_planner/jps_3D.h
- src/nx_planner/jps_3D.cpp


Col. G. L. Sicherman
This program abuses the C preprocessor so much that some /lib/cpp’s fail to strip out all of the comments on the first pass! If you were able to understand Decot’s entry in 1984, you will have a head start on this one.
Be sure to run this program through lint! If your lint works correctly, it should warn you that the argument ‘Manual’ isn’t used. Like the program says, what’s that mean?
Run the program without arguments and enter the letters ‘a’ thru ’m' on a line. Now enter the letters ‘n’ thru ‘z’. But to borrow a quote from Richard Stallman: If you think you understand what this code does, then you don’t, so read it again! Explain why:
sicherman < sicherman.c | sicherman | diff - sicherman.c
results in diff reporting a difference on some machines.
Copyright © 1985, Landon Curt Noll & Larry Bassel. All Rights Reserved. Permission for personal, educational or non-profit use is granted provided this this copyright and notice are included in its entirety and remains unaltered. All other uses must receive prior permission in writing from both Landon Curt Noll and Larry Bassel.


Timeline
1 hour ago
08:25 am
Dolorum provident rerum aut hic quasi placeat iure tempora laudantium ipsa ad debitis unde?
2 hours ago
08:25 am
consectetur adipisicing elit. Iusto, optio, dolorum John deon provident rerum aut hic quasi placeat iure tempora laudantium
14 hours ago
08:25 am
Outdoor visit at California State Route 85 with John Boltana & Harry Piterson regarding to setup a new show room.
19 hours ago
08:25 am
Jonatha Smith added new milestone Pathek Lorem ipsum dolor sit amet consiquest dio
22 February 2019
08:25 am
Montly Regular Medical check up at Greenland Hospital by the doctor Johm meon
07 January 2019
08:25 am
Download the new updates of Ubold admin dashboard
02 January 2019
08:25 am
Jonatha Smith added new milestone crishtian Lorem ipsum dolor sit amet consiquest dio
31 December 2018
08:25 am
Download the new updates of Ubold admin dashboard
16 Decembar 2018
08:25 am
Jonatha Smith added new milestone prank Lorem ipsum dolor sit amet consiquest dio


I've always been a fan of hallucinogens. They really provide the overall best experience of any type of drug. And each one seems to be infinitely different from the others. This night, I wanted to try a few at the same time. And I wanted to do it right.
I kicked it off by eating the 1/8 ounce of dried psilocybin mushrooms. Never really cared for the taste of the things, but it's bearable. Once I got those taken care of, I ate a gelcap, with about 12mg of Foxy. It was powder, with a slight blue color. I ate them within 5 minutes of each other.
My friends and I were camping out in the woods, under a mysterious wooden gazebo that looked like it hadn't seen humans in years. It was kind of eerie. But a very nice location.
The drugs began to take hold after about a half hour, and if I had to guess I'd say the mushrooms came on first. Foxy tends to give me gas, and I wasn't getting this feeling. I just sat for another 20 minutes, enjoying the onset of mushrooms.
The head trip started first. I started getting feelings of extreme happiness, and felt really genuinely glad that I was in this place with these people. It all felt so right. Almost the same feeling I get with good ecstasy. As I looked up at a sky full of stars, I felt like nothing could go wrong. And, unusually, my mind was otherwise clear. I felt like I was meditating.
I ate another 12mg of foxy as rain clouds rolled in. It had been an hour and a half since the shrooms, and visuals were getting very pronounced. I stared at an old wood beam next to me, and watched as the knots and lichen first began breathing, then moving around each other on the beam. The bright green of the lichen glowed intensely in the dim firelight, and these patches seemed to grow and engulf the knots around them. I was absolutely amazed.
It began to rain, and I watched, giggling uncontrollably, as two of my friends (also on mushrooms) tried to fashion a rain cover for the hole in the center of the gazebo, where water was getting in and putting out our fire. They finally got it figured out, after much fumbling and argument on how it should be done. It was all in good spirits.
I was still mesmerized by the lichen. All the colors around me were incredibly intense, but this was the most noticeable. I needed to find more lichen! I stood up, suddenly, after sitting for more than 2 hours. I felt more than a little disoriented, and after a few seconds got a massive headrush and had to sit back down. There was much laughter. I gave it a second try, with more success. I proclaimed I had to take a piss and set out alone into the darkness.
Once I got away from the light of the fire, I realized that the moon was shining through the rain clouds. It cast a very mellow glow on the woods. I felt like a kid in a candy store. I didn't even notice the rain, which was coming down pretty hard at this point. As I took an establishing look around me, I noticed my face hurt from smiling. This always seems to happen to me on 'shrooms!
Once I got over the initial excitement, I remembered why I was there, and set out to find some lichen. The rain was causing some serious audio hallucinations, echoing and bouncing all around me. I found a small tent platform, which hadn't been used in a while. It was covered in my newfound green friend! I sat down on the platform, and stayed there for a long time. Time was very distorted, so I have no idea how long. The tent platform began to look like a disco floor, and the rain started sounding like music. I started swaying to the imaginary beat, and thought again about how lucky we were to find this place.
Tripping people usually like to stay in groups, and when someone disappears for a long time, people start getting worried about them. I was perfectly content sitting on my platform, and got a little annoyed when people found me. I want to get a bad vibe going, so I didn't say anything.
The night went on like this, until dawn. I was tripping all the way through, for a total of around 9 hours. It was one of the most fun times I've ever had.
The major difference I noticed between this and straight mushrooms was the happiness. Foxy seems to add an ecstacy-like feeling to the trip, making mundane things seem much more important. Alone, Foxy is mild and doesn't give good visuals.
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.


Copyright © 2000 W3C® (MIT, INRIA, Keio), All Rights Reserved. W3C liability, trademark, document use and software licensing rules apply.
This specification defines the Document Object Model Level 2 Style Sheets and Cascading Style Sheets (CSS), a platform- and language-neutral interface that allows programs and scripts to dynamically access and update the content and of style sheets documents. The Document Object Model Level 2 Style builds on the Document Object Model Level 2 Core [DOM Level 2 Core] and on the Document Object Model Level 2 Views [DOM Level 2 Views].
This section describes the status of this document at the time of its publication. Other documents may supersede this document. The latest status of this document series is maintained at the W3C.
This document has been reviewed by W3C Members and other interested parties and has been endorsed by the Director as a W3C Recommendation. It is a stable document and may be used as reference material or cited as a normative reference from another document. W3C's role in making the Recommendation is to draw attention to the specification and to promote its widespread deployment. This enhances the functionality and interoperability of the Web.
This document has been produced as part of the W3C DOM Activity. The authors of this document are the DOM Working Group members. Different modules of the Document Object Model have different editors.
Please send general comments about this document to the public mailing list<EMAIL_ADDRESS>An archive is available at http://lists.w3.org/Archives/Public/www-dom/.
The English version of this specification is the only normative version. Information about translations of this document is available at http://www.w3.org/2000/11/DOM-Level-2-translations.
The list of known errors in this document is available at http://www.w3.org/2000/11/DOM-Level-2-errata
A list of current W3C Recommendations and other technical documents can be found at http://www.w3.org/TR.


Press the button and bliss out on languid semiharmonic ambient tones.
| Waveform |
|
This is a rough translation (close but not 100% faithful) from AWK to JavaScript of the musical composition AWK Music by Kyle Keen, with bonus waveform selection and visualization (oscilloscope above and harmonic spectrum below).
The basic audio element of this demo is a pair of simple waves of different frequencies, which are played in unison. You can pick among a few options for the basic waveform:
The notes played by this demo are picked randomly from two octaves in an equal-tempered pentatonic scale. This is not a scale that is often encountered in Western music, however it happens to make for note pairs and transitions that are pleasing to human ears.
The waveform is intentionally level-quantized to simulate low bit-depth. You can see this quantization in the oscilloscope as "stair steps" which are most visible in gently-sloping portions of the waveform. (That is, the stair steps are not a visual artifact from the oscilloscope rendering, but rather an accurate reflection of the waveform being generated.) In terms of the sound you hear, this quantization causes a quiet high-pitched "shimmering" effect.
|
Copyright 2015-2023 the Mimu Authors (Dan Bornstein et alia). SPDX-License-Identifier: Apache-2.0 |
milk.com / mimu |


Version {{ app_version }}
Powered by indico.io.
Developed with the Ionic Framework. It's available both for iOS and Android.
Created by joswal


Ocean [al54], ocean, in The Inner Sea
Last updated Turn #80
Ocean [al54], ocean, in The Inner Sea
------------------------------------------------------------------------
27: Groucho [hu9z], ship, 10 hulls, 1 rowing port, 30 sails, with ram,
27: arrived from Ocean [al55], owner:
27: Kijaro [u4q], Pen, with one worker, 32 sailors
27: Biguah [k7h], Imperial Empire, with 16 nazgul, accompanied by:
27: Piadora [v3y], Imperial Empire, with 16 nazgul
27: Chewbacca [w2h], Imperial Empire, the High Priest of the Church
27: of Timeid [154], with ten angels
27: Ynko [s5q], Imperial Empire, priest of the Church of Dol [153],
27: with four nazgul
28: Groucho [hu9z], ship, 10 hulls, 1 rowing port, 30 sails, with ram,
28: departed for Ocean [al53].
Routes leaving Ocean:
North, to Ocean [ak54], 6 days
East, to Ocean [al55], 6 days
South, to Ocean [am54], 6 days
West, to Ocean [al53], 6 days
It is windy.


Mr. Robogers' Numberhood
Welcome to Mr. Robogers' Numberhood. If you email Mr. Robogers a number, he will send you a special message.
Put your number in the emailbox. The Mr. McFeelyBot9000 will deliver it for you.
Send Mr. Robogers your number!
You got an email back! Mr. Robogers said:
Click here to win $
DO IT NOW!!! YOLO!!!!!!!!!


e = mdnerr(net, x, t)
e = mdnerr(net, x, t)
takes a mixture density network data
structure net
, a matrix x
of input vectors and a matrix
t
of target vectors, and evaluates the error function
e
. The error function is the negative log likelihood of the
target data under the conditional density given by the mixture model
parameterised by the MLP. Each row of x
corresponds to one
input vector and each row of t
corresponds to one target vector.
mdn
, mdnfwd
, mdngrad
Copyright (c) Ian T Nabney (1996-9)
David J Evans (1998)


Money Play. How should Red play 41?
pips Red=94 White=90
(CorrectAnswer= 0/0, ErrorScore= 0)
To cover or leap – that is the question.
Over the board I agonised for a while and played 6/1. My next roll was 33 and not long after that I was giving up two points.
Given it was in a chouette it was a potentially expensive mistake, if indeed it was a mistake.
As it turns out there is 0.001 equity difference between 6/1 and 22/18, 6/5 so my play was not a mistake, merely an unlucky choice.
The result is that the position serves as a useful benchmark for future positions of a similar type. I suggest you add it to your own library of reference positions.
Over the board I agonised for a while and played 6/1. My next roll was 33 and not long after that I was giving up two points.
Given it was in a chouette it was a potentially expensive mistake, if indeed it was a mistake.
As it turns out there is 0.001 equity difference between 6/1 and 22/18, 6/5 so my play was not a mistake, merely an unlucky choice.
The result is that the position serves as a useful benchmark for future positions of a similar type. I suggest you add it to your own library of reference positions.
1. Cubeful 0-ply 6/1 Eq.: +0.430 0.751 0.046 0.001 - 0.249 0.034 0.000 2. Cubeful 0-ply 22/18 6/5 Eq.: +0.263 (-0.166) 0.697 0.097 0.003 - 0.303 0.118 0.008 3. Cubeful 0-ply 22/18 3/2 Eq.: +0.219 (-0.211) 0.681 0.089 0.002 - 0.319 0.119 0.008 4. Cubeful 0-ply 22/18 2/1 Eq.: +0.066 (-0.363) 0.632 0.072 0.002 - 0.368 0.135 0.011 5. Cubeful 0-ply 6/2 3/2 Eq.: -0.135 (-0.565) 0.539 0.060 0.001 - 0.461 0.115 0.002


What is Toreba?
For those of you who don't know what Toreba is, it's a japan-based live claw machine app that allows you play and win a whole variety of prizes, ranging from branded plushies, figurines, to apparels and other miscellaneous stuff.
Global shipping is free every 7 days, so you'll be able to ship your winnings from japan all the way to your home, for free!
You'll be given 5 free tickets when you first start out. Subsequently after the 5 tickets, you'll get a free ticket everyday which expires on 6am the following day. A ticket allows you to play most of the machines, with the exception of "TP only" machines which requires you to use TP which is Toreba's currency, in order to play.
You can spend money on the game by purchasing TP which can be used to play the machines. The average TP required to play once is around 2000 TP, which equates to around 2USD per try. As of now, if you purchase 10000 TP or above, you'll be awarded 1 extra free ticket everyday, and 3 extra free tickets on the 1st, 10th and 20th day of every month, which is pretty worth it in my opinion if you just spend around $14 SGD to get the 10000 TP which entitles you to 1-3 extra free tickets everyday. Purchasing TP also allows you to queue and reserve the machines, which can come in handy and be quite advantageous as you get better at the game
It's a skills-based game
I've been playing Toreba regularly for around 6 months now, with 10 devices, which means I get 10 free tickets everyday. With these 10 daily tries, I've managed to snipe a total of around 70 prizes at this point of time where I'm writing here. It sounds easy, but it actually requires a lot of patience, experience and skills to win them.
Here are some tips for you to help you get better and hopefully win your first prize on the app!
- Watch and analyse toreba win compilations on youtube or reddit.
- Learn the different types of crane machines on the app and the different techniques you can use to win those prizes.
- Some pretty good channels are lijacky Japan, The Crane Game Addict and r/toreba.
- (PS. I'm starting a youtube channel on toreba soon!)
- Note the claw strength, how far the claws expand, and how low they go down.
- It is crucial to take note of these when other players are playing, as these varies throughout the different machines, and it affects the playing style to win it.
- Patience is the key to winning!
- Whenever you see a prize that you think is going to drop, you might want to wait patiently for your chance to come, even if the queue is full. This is because you'll never know, sometimes everyone just quits playing for no reason when the prize is already in a one-shot position, and you can just snag the prize away!
Spaceflights cannot be stopped. This is not the work of any one man or even a group of men. It is a historical process which mankind is carrying out in accordance with the natural laws of human development.
My experience
Other than a few unsuccessful disputes attempts to get my tickets refunded after spending them on some machines with bugs that prevent the claw from even going down, I've pretty much happy with my experience playing Toreba so far.
I mostly play machines with plushies as I find it to be way easier to win them as compared to figurines and other box shaped prizes. Most of the wins comes from machines with the prize being wrapped in plastic. I usually search for prizes with plastic edge on the tip of the bars, and if it looks like it's going to drop, I'll just use the claw to try to push/stab the prize down.
That's all for now, I'll write an blog on Toreba winning techniques and skills when I'm free again, and start posting toreba videos on youtube too. :D


Case insensitive deserialization
Growing up in Windows with BASIC you learn case doesn't matter, so Color
is the same as COLOR
or cOLOR
when it comes to variable names. Same applies to @Formula
or item names in Notes documents.
On the other side, Linux, Java, JavaScript and JSON are very much case sensitive.
This poses a challenge when deserializing (handcrafted) JSON files.
The Task at hand
Deserialization of JSON into a Java class instance can be done using jackson. This is also what the JsonObject in vert.x uses when you call json.mapTo(SomeClass)
. Not using vert.x? You can use the ObjectMapper
. Let's look at a sample Java class
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonInclude;
import io.vertx.core.json.JsonObject;
@JsonInclude(JsonInclude.Include.NON_NULL)
@JsonIgnoreProperties(ignoreUnknown = true)
public class JsonTest {
public static fromJson(final JsonObject source) {
return source.mapTo(JsonTest.class);
}
private String color;
private String shape;
private int answer;
private boolean pretty;
/* GETTERS and SETTERS omitted for brevity
Let your IDE add them for you */
}
Now you want to deserialize a good JSON, which works as expected:
{
"color": "Red",
"shape": "round",
"answer": 11,
"pretty": true
}
but the very moment your JSON isn't following proper capitalization, like human provided JSON,
{
"Color": "Red",
"Shape": "square",
"Answer": 42,
"pretty": true,
"ignore": "this"
}
deserialization will fail. We need to fix that.
Introspection
All Java snippets are located as static functions in a helper class JsonHelper
.
As first operation we need to obtain a list of properties our Java class expects when instantiated by Jackson:
public static List<String> getClassFields(final Class<?> clazz) {
final ObjectMapper mapper = new ObjectMapper();
final JavaType javaType = mapper.getTypeFactory().constructType(clazz);
return mapper.getSerializationConfig()
.introspect(javaType)
.findProperties()
.stream()
.map(BeanPropertyDefinition::getName)
.collect(Collectors.toList());
}
Then we turn the list into an case insensitive map:
public static Map<String, String> listToCaseInsensitiveMap(final List<String> source) {
final TreeMap<String, String> result = new TreeMap<>(String.CASE_INSENSITIVE_ORDER);
source.stream()
.filter(Objects::nonNull)
.forEach(s -> result.put(s, s));
return result;
}
This finally can be used to update the JsonObject to match the expected capitalization:
public static JsonObject normalizeAndSelect(final JsonObject source, final Map<String, String> fields) {
final JsonObject result = new JsonObject();
source.stream()
.filter(entry -> fields.containsKey(entry.getKey()))
.forEach(entry -> result.put(fields.get(entry.getKey()), entry.getValue()));
return result;
}
// Facade function to tie it all up
public static JsonObject normalizeAndSelect(final JsonObject source, Class<?> clazz) {
return normalizeAndSelect(source, listToCaseInsensitiveMap(getClassFields(clazz)));
}
// Aternate facade
public static Object normalizeAndReturn(final JsonObject source, Class<?> clazz) {
return normalizeAndSelect(source, listToCaseInsensitiveMap(getClassFields(clazz)))
.mapTo(clazz);
}
This finally lets us update the fromJson
static method in our POJO class:
public static fromJson(final JsonObject source) {
return JsonHelper.normalizeAndSelect(source,JsonTest.class)
.mapTo(JsonTest.class);
}
//Alternate version
public static fromJson2(final JsonObject source) {
return (JsonTest) JsonHelper.normalizeAndReturn(source,JsonTest.class);
}
As usual: YMMV
Posted by Stephan H Wissel on 08 June 2022 | Comments (1) | categories: Java vert.x