My sandbox in Phaser
A sandbox to experiment with Phaser Js.
First Game
Flappy bird
Cyber Orb
Platformer
Load tilemap
Play with the physics
Map Generator
Light the map
Parallax
Pong
Phaser X RoughJS


Cara, Jacob, Lorenzo
December 13, 2018
Formed a group and deciding to do something with machine learning
Explored Kaggle for potential projects
Came across a couple options including forest cover classification and classifying monsters (Halloween themed)
Decided on classification on forest cover type
Predict forest cover type
Classify the predominant kind of tree cover
Actual forest cover type for a 30x30 meter cell was determined by US Forest Service
Independent variables obtained from US Geological Survey and USFS
Real world data
Designing ways to predict forest cover type can help for future forest surveys
Forests are an important natural resource
Knowing the most important variables in predicting cover type can lead to more efficient surveying
56 total variables
15120 rows of data
# Imported pandas and investigated the data
import pandas as pd
df = pd.read_csv('train.csv')
df.head()
df.info()
df.describe()
Learned basics about the data
import seaborn as sns
df1 = df[['Elevation', 'Aspect', 'Slope', 'Horizontal_Distance_To_Hydrology',
'Vertical_Distance_To_Hydrology', 'Horizontal_Distance_To_Roadways',
'Hillshade_9am', 'Hillshade_Noon', 'Hillshade_3pm', 'Horizontal_Distance_To_Fire_Points',
'Wilderness_Area1', 'Wilderness_Area2', 'Wilderness_Area3', 'Wilderness_Area4']]
sns.pairplot(df1)
Decided to use SciKitLearn
Supervised learning project
Wanted to try multiple different classification models
Logistic regression, random forest, support vector machine, k nearest neighbor
df = pd.read_csv('train.csv')
x = df.copy()
x = x.drop('Cover_Type', axis = 1)
x = x.drop('Id', axis = 1)
y = df['Cover_Type']
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=21)
# specify models
lr = LogisticRegression()
rf = RandomForestClassifier(n_estimators=1000, max_depth=30, class_weight='balanced')
sv = svm.SVC(kernel='rbf')
# fit models
lr.fit(x_train, y_train)
rf.fit(x_train, y_train)
sv.fit(x_train, y_train)
# predict test set labels
lr_pred = lr.predict(x_test)
rf_pred = rf.predict(x_test)
sv_pred = sv.predict(x_test)
# evaluate model accuracies
lr_accuracy = accuracy_score(y_test, lr_pred)
rf_accuracy = accuracy_score(y_test, rf_pred)
sv_accuracy = accuracy_score(y_test, sv_pred)
lr_accuracy
rf_accuracy
sv_accuracy
Logistic Regression Accuracy Score:
Random Forest Accuracy Score:
Support Vector Machine Accuracy Score:
Random Forest!
Changed variables in the model:
df = pd.read_csv('train.csv')
x = df[['Elevation', 'Aspect', 'Slope', 'Horizontal_Distance_To_Hydrology', 'Vertical_Distance_To_Hydrology', 'Hillshade_9am', 'Hillshade_Noon', 'Hillshade_3pm']]
y = df['Cover_Type']
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.4, random_state=24)
rfc = RandomForestClassifier(n_estimators=1000, max_depth=100, class_weight='balanced')
rfc.fit(x_train, y_train)
y_pred = rfc.predict(x_test)
rf_accuracy = accuracy_score(y_test, y_pred)
rf_accuracy
New Accuracy Score with only 8 variables:
Not as good of a model!
Still have to troubleshoot and hone our models
Try different variables
Try combinations of variables
Generate confusion matrix
Need to use the test set on Kaggle and see how well our model preforms!
Thank you!


Hi! I am Kostas, and I come from Greece. I have been living in Norway since 2015. For more information about me, you can visit my LinkedIn profile.
This website is meant as a practice in HTML, CSS, and JavaScript.
Åna-Sira, Norway


Hi,
I'm Gautham
Software builder
Game connoisseur
Sci-Fi Reader
...master of some
Jack of many trades...
Perfectionist
Software builder
{% include link.html %}
--- title: Home --- {% include head.html %}


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These are places I've been to. Click on the images to see it in full size:
Mumbai- The city of dreams. Some come true, some dont.
Kota: Considered as one of the "most beautiful city of rajasthan".
My city Jaipur. This city gave me a lot!.


|
cds
2.3.1
|
Reclamation thread for general_threaded
URCU.
More...
#include <cds/urcu/dispose_thread.h>
Public Types | |
| typedef Buffer | buffer_type |
| Buffer type. | |
Public Member Functions | |
| void | start () |
| Start reclamation thread. More... | |
| void | stop (buffer_type &buf, uint64_t nCurEpoch) |
| Stop reclamation thread. More... | |
| void | dispose (buffer_type &buf, uint64_t nCurEpoch, bool bSync) |
| Start reclamation cycle. More... | |
Reclamation thread for general_threaded
URCU.
The object of this class contains a reclamation thread object and necessary synchronization object(s). The object manages reclamation thread and defines a set of messages (i.e. methods) to communicate with the thread.
Template argument Buffer
defines the buffer type of general_threaded URCU.
|
inline |
Start reclamation cycle.
This function is called by general_threaded object to notify the reclamation thread about a new work. buf
buffer contains retired objects ready to free. The reclamation thread should free all buf
objects m_nEpoch
field of which is no more than nCurEpoch
.
If bSync
parameter is true
the calling thread should wait until disposing done.
|
inline |
Start reclamation thread.
This function is called by general_threaded object to start internal reclamation thread.
|
inline |
Stop reclamation thread.
This function is called by general_threaded object to start reclamation cycle and then to terminate reclamation thread.
buf
buffer contains retired objects ready to free.


Hello,
Someone want's to exchange his appointment with your appointment.
You appointment date is:
His/Her appointment date is:
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Divide the following complex numbers. You can round the real and imaginary parts of the result to 2 decimal digits.
\qquad \dfrac{A_REP_COLORED}{B_REP_COLORED}
Complex number division is converted to complex multiplication using the denominator's complex conjugate.
\qquad \dfrac{A_REP_COLORED}{B_REP_COLORED} =
\dfrac{A_REP_COLORED}{B_REP_COLORED} \cdot
\dfrac{CONJUGATE_COLORED}{CONJUGATE_COLORED}
The denominator is simplified by (a + b) \cdot (a - b) = a^2 - b^2
.
\qquad \dfrac{(A_REP_COLORED) \cdot (CONJUGATE_COLORED)}
{(B_REP_COLORED) \cdot (CONJUGATE_COLORED)} =
\dfrac{(A_REP_COLORED) \cdot (CONJUGATE_COLORED)}
{(B_REAL_COLORED)^2 - (\color{BLUE}{B_IMAGi})^2}
Note that the denominator now doesn't contain any imaginary unit multiples, so it is a real number, simplifying the problem to complex number multiplication.
The squares in the denominator are evaluated and subtracted.
\qquad \dfrac{(A_REP_COLORED) \cdot (CONJUGATE_COLORED)}
{(B_REAL_COLORED)^2 - (B_IMAG_COLOREDi)^2} =
\dfrac{(A_REP_COLORED) \cdot (CONJUGATE_COLORED)}
{B_REAL * B_REAL + B_IMAG * B_IMAG} =
\dfrac{(A_REP_COLORED) \cdot (CONJUGATE_COLORED)}
{B_REAL * B_REAL + B_IMAG * B_IMAG}
Afterwards, the numerator is multiplied using the distributive property.
\qquad \dfrac{(A_REP_COLORED) \cdot (CONJUGATE_COLORED)}
{DENOMINATOR} =
\dfrac{(A_REAL_COLORED \cdot \color{BLUE}{negParens( B_REAL )}) + (A_IMAG_COLORED \cdot \color{BLUE}{negParens( B_REAL )} i) + (A_REAL_COLORED \cdot \color{BLUE}{ B_CONJUGATE_IMAG_COLORED }i) + (A_IMAG_COLORED \cdot \color{BLUE}{ B_CONJUGATE_IMAG_COLORED } i^2)}
{DENOMINATOR}
All multiplications are evaluated.
\qquad \dfrac{(A_REAL * B_REAL) + (A_IMAG * B_REALi) + (A_REAL * B_CONJUGATE_IMAGi) + (A_IMAG * B_CONJUGATE_IMAG i^2)}
{DENOMINATOR}
Finally, the fraction is simplified.
\qquad \dfrac{A_REAL * B_REAL + A_IMAG * B_REALi + A_REAL * B_CONJUGATE_IMAGi - A_IMAG * B_CONJUGATE_IMAG}
{DENOMINATOR} =
\dfrac{REAL_NUMERATOR + IMAG_NUMERATORi}
{DENOMINATOR} =
ANSWER
The real part of the result is REAL_FRACTION
, which is (rounded to 2 decimal places) ANSWER_REAL
.
The imaginary part of the result is IMAG_FRACTION
, which is (rounded to 2 decimal places) ANSWER_IMAG
.


Allows to estimate dynamic model averaging, dynamic model selection and median probability model. The original methods are implemented, as well as, selected further modifications of these methods. In particular the user might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using 'Google Trends'. The code is written in a way which minimises the computational burden (which is quite an obstacle for dynamic model averaging if many variables are used). For example, this package allows for parallel computations and Occam's window approach. The package is designed in a way that is hoped to be especially useful in economics and finance. Main reference: Raftery, A.E., Karny, M., Ettler, P. (2010) <doi:10.1198/TECH.2009.08104>.
| Version: | 2.2.4 |
| Imports: | doParallel, forecast, foreach, gplots, graphics, grDevices, iterators, itertools, MSwM, parallel, psych, png, Rcpp, stats, tseries, utils, xts, zoo |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | R.rsp |
| Published: | 2018-09-29 |
| Author: | Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland) |
| Maintainer: | Krzysztof Drachal <kdrachal at wne.uw.edu.pl> |
| License: | GPL-3 |
| URL: | https://CRAN.R-project.org/package=fDMA |
| NeedsCompilation: | yes |
| Citation: | fDMA citation info |
| Materials: | NEWS |
| CRAN checks: | fDMA results |
| Reference manual: | fDMA.pdf |
| Vignettes: |
fDMA |
| Package source: | fDMA_2.2.4.tar.gz |
| Windows binaries: | r-devel: fDMA_2.2.4.zip, r-release: fDMA_2.2.4.zip, r-oldrel: fDMA_2.2.4.zip |
| OS X binaries: | r-release: fDMA_2.2.4.tgz, r-oldrel: fDMA_2.2.4.tgz |
| Old sources: | fDMA archive |
Please use the canonical form https://CRAN.R-project.org/package=fDMA to link to this page.


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The MathJax Startup Sequence
When you load MathJax.js into a web page, it configures itself and
immediately begins loading the components it needs. As MathJax starts
up, it uses its signaling mechanism
to indicate the actions that it is taking so that MathJax extensions
can tie into the initialization process, and so other applications
within the page can synchronize their actions with MathJax.
The startup process performs the following actions:
- It creates the MathJax variable, and defines the following
subsystems:
- MathJax.Object (object-oriented programming model)
- MathJax.Callback (callbacks, signals, and queues)
- MathJax.Ajax (file-loading and style-creation code)
- MathJax.HTML (support code for creating HTML elements)
- MathJax.Message (manages the menu line in the lower left)
- MathJax.Hub (the core MathJax functions)
- It then creates the base MathJax.InputJax,
MathJax.OutputJax, and MathJax.ElementJax objects.
- MathJax sets up the default configuration, and creates the
signal objects used for the startup and hub actions.
- MathJax locates the <script> tag that loaded the MathJax.js
file, and sets the MathJax.Hub.config.root value to reflect the
location of the MathJax root directory.
- MathJax determines the browser being used and its version. It sets
up the MathJax.Hub.Browser object, which includes the browser
name and version, plus isMac, isPC, isMSIE, and so on.
- MathJax set up the MathJax.Hub.queue command queue, and
populates it with the commands MathJax runs at startup. This
includes creating the MathJax.Hub.Startup.onload onload
handler that is used to synchronize MathJax’s action with the
loading of the page.
Once the MathJax.Hub.queue is created, the following actions are
pushed into the queue:
- Post the Begin startup signal
- Perform the configuration actions:
- Post the Begin Config startup signal
- Load any configuration files specified via config= as a script parameter
- Execute the content of the <script> that loaded MathJax, if it is not empty
- Wait for the delayStartupUntil condition to be met, if one was specified
- Execute any text/x-mathjax-config script blocks
- load the files listed in the MathJax.Hub.config.config array
- Post the End Config startup signal
- Load the cookie values:
- Post the Begin Cookie startup signal
- Load the menu cookie values
- Use the cookie to set the renderer, if it is set
- Post the End Cookie startup signal
- Define the MathJax styles:
- Post the Begin Styles startup signal
- Load the stylesheet files from the MathJax.Hub.config.stylesheets array
- Define the stylesheet described in MathJax.Hub.config.styles
- Post the End Styles startup signal
- Load the jax configuration files:
- Post the Begin Jax startup signal
- Load the jax config files from the MathJax.Hub.config.jax array
- The jax will register themselves when they are loaded
- Post the End Jax startup signal
- Load the extension files:
- Post the Begin Extensions startup signal
- Load the files from the MathJax.Hub.config.extensions array
- Most extensions will post a [name] Ready or Extension
[name] Ready startup message when they are loaded (where
[name] is the name of the extension)
- Post the End Extensions startup signal
- Set the MathJax menu’s renderer value based on the jax that have been
loaded
- Wait for the onload handler to fire
- Set MathJax.isReady to true
- Perform the typesetting pass (preprocessors and processors)
- Post the Begin Typeset startup signal
- Post the Begin PreProcess hub signal
- Run the registered preprocessors
- Post the End PreProcess hub signal
- Clear the hub signal history
- Post the Begin Process hub signal
- Process the math script elements on the page
- Each new math element generates a New Math hub signal
with the math element’s ID
- Post the End Process hub signal
- Post the End Typeset startup signal
- Post the End startup signal
The loading of the jax and extensions in steps 5 and 6 are now done in
parallel, rather than sequentially. That is, all the jax and extensions
are requested simultaneously, so they load concurrently. That means they
can load in any order, and that the begin and end signals for the jax and
extensions can be intermixed. (In general, you will get Begin Jax
followed by Begin Extensions, but the order of End Jax and End
Extensions will depend on the files being loaded.) Both 5 and 6 must
complete, however, before 7 will be performed.
See the test/sample-signals.html file to see the signals in action.


About
Background
Workflow
Installation
Security Protocol
Configuration
Basics
Merge Conflicts
Binary Files
Advanced
Help!
Contact
How will you use Git?
Command Line Interface
GUI (SourceTree)
(Mac or Windows only)


Education
BIT Sindri
2010 to 2014
Bachelor of Technology
-
http://www.bitsindri.ac.in
-
Sindri, Jharkhand
-
Studied Computer Science & Engineering.
-
Won MuPhoria and a sum of 2 Lakhs organized by Mu Sigma
-
Qualified online round of ACM ICPC organized by ACM ICPC Amritapuri.
-
Won Aspirations 2020 at college level and participated at Development Center leve organized by Infosys
-
Won several programming and app building contests organized by Technical Clubs at BIT Sindri


Youth Suicides : A Worrying Trend |
|
Introduction
Background Infomation
Causes
Things you can do
After a suicide
Interviews with counsellors
Survey Results |
Teenage and youth suicide is one of the major causes of unnatural deaths. We want to bring the problem to light, and provide some resources for people who encounter peers with suicidal thoughts. We would also provide some information on suicides and the types of suicides. Please take time to read through the articles to gain a better understanding of the situation and know what you can do. Feel free to download our online e-brochures to distribute them amongst your peers. |
Swtich to Hgih-Bandwidth Version


Already have an XMPP account? Add {{user}} to your contact list.
{{user}} invites you to create an XMPP account on the server {{server}}.


Configuration
Select a bench configuration
Procedure:
title
Select a section
Select an action
Optionally give this run a name (Defaults to date/time)
Intercept device writes
Start
State
Status:
Ready
Section:
None
Action:
None
Troubleshooting
Action isn't starting?
Reset
Results
Main Log
Communication Log


AL MAGHRIB
- Book Design
- |
- Illustration
Al Maghrib is an atmospheric journey into the heart of Moroccan architecture and its imperial and vigorous presence in the cities; Meknes, Fez and Marrakech. The photogrpahs crytallise the fleeting moment of light as the traveler witnesses it and the accomapnying text roots the photo in its historical context.
The book was designed to keep the spotlight on the beautiful photographs by Zishan Sheikh, with room for the reader to pause and breathe. To complement the diaristic tone of the book, I illustrated an iconic building from each city in the manner of a quick diary sketch. The illustrations serve as chapter headings in the book.


ABOUT ME
I'm Félix J. Maldonado Torres and I am 21 years old. Currently I live in the south of Puerto Rico. I'm a senior student in Computer Engineering at the Interamerican University of Puerto Rico, Bayamón Campus. Since I was a child I was a very curious person using my siblings computers finding a way to know more about how computers work. Over the past years, I've been part of projects that showed me the importance of investing time in doing researchs to expand the knowledge about these topics. A thing that can distinguished me is that no matter what obstacles are in my journey I find the best solution integrating a positive attitude.
From my perspective, the first thing that comes into my mind about the aspects that makes me different are my positive mindse and the empathy that allows me to help other people when they need it. In the freetime I usually love to workout and to play videogames on my PC. As shown below these are some of my favorite things:


This API provides a specification of ticket data as an interface and an
implementation of an encoder/decoder to encode and decode ticket data
to an asn.1 PER encoded byte stream according to the UIC specification.
Any ticket data implementing the interface defined in package
spec can be encoded/decoded. The package
impl provides a simple implementation of the ticket.


Hi. I have a virtual server with a LAMP stack installed. I'm having problems configuring the Apache server to run Emoncms alongside an existing drupal installation with a shared domain.
1. Firstly I tried using Apache's virtual hosting features and set up emoncms.mydomain.tld, with Emoncms installed in /var/www/emoncms. The site worked well, except that the input stream was broken.
2. I managed to get it working by changing the Default web directory from /var/www/www.mydomain.tld to /var/www. This means that I can access emoncms from http://mydomain.tld/emoncms, and the input stream works. The problem here is that in order to access my website I have to got to http://mydomain.tld/www.mydomain.tld , which is obviously no good.
3. I found out how to tweak the .htaccess file in the root of the drupal site, so that it ignores specific directories. This enabled me to copy emoncms into /var/www/www.mydomain.tls/emoncms (as an ignored sub-directory of the drupal site), and I created a symbollic link from /var/www/emoncms -> /var/www/www.mydomain.tls/emoncms. The site worked well like this, except again the input stream was broken.
4. With emoncms installed in /var/www/emoncms, I created a new 'site' in /etc/apache2/sites-enabled/ called emoncms, with the following first line:
Alias /emoncms /var/www/emoncms
This would seem to be the way to go as http://mydomain.tld/emoncms brings up Emoncms' login page. The problem here is that when I login, the URL in the address bar is http://mydomain.tld/emoncms/user/login, but it actually takes me to the login page for my drupal site .. complete with drupalsite theming :( I'm really confused why this is happening, especially because the emoncms and the drupal aren't even in the same directory.
I'm pretty darned sure this method can work because I copied the emoncms apache2 sites-enabled 'site' from a squirrelmail 'site', which is working just fine like this.
Anybody else dealt with this issue / got more experience with apache / drupal, and can give me some guidance?
Re: Setting up emoncms on remote server alongside existing drupal installation with shared domain
Have you looked at a RewriteRule in your .htaccess file? I'm no Apache expert, but that seems the way to go. For example, this rule makes a request for the "index" file (any extension) of a website into a request to a PHP page "pages.php" that accepts two parameters (section= and page= ) and serves up a dynamically created page - basically like Drupal etc does:
RewriteEngine On
RewriteRule ^index.*$ pages.php?section=index&page=0 [T=application/x-httpd-php]
(Don't ask any more questions - that's about the limit of my knowledge! But Google will find plenty of sources with examples and explanations.)
Re: Setting up emoncms on remote server alongside existing drupal installation with shared domain
Hi Robert. Thanks for the reply. I'll read up on .htaccess and all that. Have sort of got it working ok at the moment so feeling less aggravated by the problem :)


BED OF ROSES 1996 A film review by Timothy Voon Copyright 1997 Timothy Voon
Cast: Mary Stuart Masterson, Christian Slater, Pamela Segall, Josh Brolin, Brian Tarantina, Ally Walker Director: Michael Goldenberg Screenplay: Michael Goldenberg
"Once upon a time there was a little girl of no consequence. Left alone, deserted by her own blood's relation. Abandoned on the doorsteps of providence, not knowing even when her true date of birth. No past, no memories except for sorrowful woes. Can I be loved for who I am, she asks herself? Will I ever find true love? Through darkened streets walks a boy lost in his deepest thoughts. Looks up to see a single lightened room, and to his amazement finds a weeping child, the lost girl of his dreams. So come with me the boy asks the girl, and I'll show you a place where sorrows never grow. Come with me to my hiding place, to the secret garden of my love." From the 'Grimmish Book of Fairytales' by T.M.T. Voon
As modern Fairy-tales go this is pleasantly enchanting. Simple in it's storytelling it doesn't attempt to drown it's audience with unnecessary melodrama. Not pretentious in it's presentation, it uses its characters wisely to tell a simple tale of love.
So if it's a Valentine, birthday, or anniversary gift you seek, remember that wise old saying that 'Flowers speak the universal language of love'.
Garden Feel Scale: 0% The Dandelion / The Daffodil / *THE ROSE* 100%
Timothy Voon e-mail<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


 I shouldn't call it a little film; it's 140-minute running time is the longest of the Bond series. It's also the only one to star George Lazenby (Never heard of him? Neither have I.) as 007. Being sandwiched between two Sean Connery movies makes this one look that much more amateurish in comparison.
The epic running time is absolutely unnecessary, as the real story doesn't begin for an hour and a half, by which time most other movies would be almost over. That first 90 minutes gives us a lot of expository information with little action, save the traditional opening teaser, and that's not even up to par with the other movies in the series.
Bond is still after Blofeld (who first popped in YOLT and again in DAF and is now played by Telly "Kojak" Savales) here, but tired enough of chasing him to take a two-week leave of absence from the service. That's when he meets Tracy (Diana Rigg, a.k.a. Emma Peel of "The Avengers"), the first woman he truly falls in love with. (I guess 700 really is his lucky number.) And certainly his plans for marriage don't have anything to do with the fact that Tracy's father, a crime boss, offered valuable information about Blofeld's whereabouts if Bond would marry his daughter.
So Bond rushes off to Blofeld's mountain hideout, populated by a bevy of beauties who think he's curing them of their allergies, when he's really grooming them to destroy Western civilization as we know it. (Talk about your unconventional therapy techniques!) Bond meets his three-woman quota there before Blofeld discovers that he's not really a genealogist on research. The usual death traps and chases ensue, including a ski run chase that would be redone and improved upon in THE SPY WHO LOVED ME.
ON HER MAJESTY'S SECRET SERVICE has a little merit. The story is decent, albeit way too overblown and long-winded, but adding the romance aspect to the Bond series was a good idea, even if they did have to add the obligatory young-couple-in-love song montage. And there is a truly touching moment at the end of the movie. But on the whole, this movie is to be viewed only by the Bond fan who absolutely has to see every movie in the series. Otherwise, just skip right over it and you won't miss a thing.
OHMSS has far less action than the others and George Lazenby doesn't quite cut the mustard as James Bond. (He does cut the cheese a few times, to the disgust of the other characters.) Rolling Stone called Lazenby "a one-shot joke" and I have to agree. The Rolling Stones called him "Jumpin' Jack Flash" and I have to say I have no idea what that means.
Visit the Movie Critic at LARGE website at http://www.missouri.edu/~c667778/movies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


My sister called to say Gil Noble passed last week. She attended the funeral in Harlem and learned that his parents were Jamaican and he was also a Jazz musician.
My sister called to say Gil Noble passed last week. She attended the funeral in Harlem and learned that his parents were Jamaican and he was also a Jazz musician.


Oh, wee-ooh, I look just like Buddy Holly.   I don't care 'bout that.


html5show Test Suite
Most scientists agree that increasing amounts of carbon-dioxide gas in the atmosphere is partly to blame for climate change. Climate change can have a big effect on weather conditions around the world. Scientists are looking for the best and least costly methods for capturing the gas


GeoStore
The Terraformer GeoStore is a set of building blocks for managing spatial data as a GeoJSON Feature
or FeatureCollection
. It includes functionality for storing and querying data in primarily a
spatial manner.
GeoStores are broken into three parts: Data Stores, Spatial Indexes, and Alternate Indexes.
More in-depth information can be found in Core Concepts.
Link Using the GeoStore Back to Top
The GeoStore can be used in both the browser and server-side via Node.js. Functionally, they behave the same, but some Data Stores and Indexes will only work in one environment. For instance, LocalStorage will not work by default in Node.js.
The GeoStore uses Node.js style callbacks, so most method signatures require a callback
function
that expects error
and response
: function (err, res) { }
.
The GeoStore manages data that is made available as either a Feature
or a
FeatureCollection
. In order to work, there must be an id
field.
{
"type": "Feature",
"properties": {},
"id": "my id",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-111.09374, 41.50857
],
[
-111.09374, 45.08903
],
[
-105.11718, 45.08903
],
[
-105.11718, 41.50857
],
[
-111.09374, 41.50857
]
]
]
}
}
Link Using in the Browser Back to Top
Using the GeoStore in the browser requires including both Terraformer and the GeoStore:
<script<EMAIL_ADDRESS><script<EMAIL_ADDRESS>Once those are included, you can create a new Store
. You will need to include both a Data Store and
a Spatial Index to instantiate a GeoStore.
// create a new GeoStore using Memory and an RTree Index
var store = new Terraformer.GeoStore({
store: new Terraformer.Store.Memory(),
index: new Terraformer.RTree()
});
Once the store has been created, you can start using it right away.
Link Using in Node.js Back to Top
In Node.js, the components are available via require()
.
// require geostore, an RTree index, and a LevelDB data store
var GeoStore = require('terraformer-geostore').GeoStore;
var RTree = require('terraformer-rtree').RTree;
var LevelStore = require('terraformer-geostore-leveldb');
Once the packages are in scope, it is very similar as using the GeoStore in the browser.
var store = new GeoStore({
store: new LevelStore(),
index: new RTree()
});
Link Methods Back to Top
Link GeoStore.add(geojson, callback) Back to Top
Add a geojson
object to the GeoStore.
| Option | Value | Description |
|---|---|---|
GeoJSON |
object |
Must be either a Feature or FeatureCollection and contain an id
|
| callback | function |
Callback to be fired when the add has been completed |
Example:
store.add(geojson, function (err, res) {
// Node.js style callback
});
Link GeoStore.update(geojson, callback) Back to Top
Update a single geojson
Feature
in the GeoStore.
| Option | Value | Description |
|---|---|---|
GeoJSON |
object |
Must be a Feature and contain an id |
| callback | function |
Callback to be fired when the update has been completed |
Example:
store.update(geojson, function (err, res) {
// Node.js style callback
});
Link GeoStore.remove(id, callback) Back to Top
Removes a single geojson
Feature
by id
.
| Option | Value | Description |
|---|---|---|
| id | String or Number |
The id of the Feature to be removed |
| callback | function |
Callback to be fired when the remove has been completed |
Example:
store.remove(id, function (err, res) {
// Node.js style callback
});
Link GeoStore.get(id, callback) Back to Top
Retrieves a single geojson
Feature
by id
.
| Option | Value | Description |
|---|---|---|
| id | String or Number |
The id of the Feature to be retrieved |
| callback | function |
Callback to be fired when the get has been completed |
Example:
store.get(id, function (err, res) {
// Node.js style callback
});
Link GeoStore.contains(geojson, search, callback) Back to Top
Find all Features
that contain the geojson primitive
passed in. contains
can use additional indexes to do set elimination on properties of a Feature
.
| Option | Value | Description |
|---|---|---|
GeoJSON |
object |
A GeoJSON primitive to search with |
| search (optional) | object |
The second argument is optional. If provided it contains additional search criteria for set elimination |
| callback | function |
Callback to be fired when the contains has been completed |
Example:
store.contains(geojson, function (err, res) {
// Node.js style callback
});
store.contains(
geojson,
{
"name":
{
"equals": "Multnomah"
}
},
function (err, res) {
// Node.js style callback
}
);
Link GeoStore.within(geojson, search, callback) Back to Top
Find all Features
that are within the geojson primitive
passed in. within
can use additional indexes to do set elimination on properties of a Feature
.
| Option | Value | Description |
|---|---|---|
GeoJSON |
object |
A GeoJSON primitive to search with |
| search (optional) | object |
The second argument is optional. If provided it contains additional search criteria for set elimination |
| callback | function |
Callback to be fired when the within has been completed |
Example:
store.within(geojson, function (err, res) {
// Node.js style callback
});
store.within(
geojson,
{
"name":
{
"equals": "Multnomah"
}
},
function (err, res) {
// Node.js style callback
}
);
Link GeoStore.createReadStream() Back to Top
GeoStore supports readable streams in both the browser and Nodejs. Currently only flowing
streams
are supported. Streams can be created with the createReadStream()
method. When a stream has been
created, the next within
or contains
request uses that stream in place of a callback.
It is important to note that the stream only lasts for the duration of a single search via
within
or contains
.
The stream will emit data
on any data, and end
with the final entry found.
Since streams are not reentrant in the GeoStore, it is recommended to create a new GeoStore for each stream.
Streams are destroyed after the end
event has been called.
Example:
var stream = store.createReadStream();
stream.on("data", function (geojson) {
// found geojson
});
stream.on("end", function (geojson) {
// final geojson object
});


A minimalistic Service Discovery framework for handling up and down microsservice events in a decentralized architecture.
# Add to your dependencies using yarn
yarn add "nxtep-io/nano-discovery";
# Or, using NPM
npm install "github:nxtep-io/nano-discovery";
Redis
For production environment, we strongly recommend using Redis. This will be robust and will provide a distributed way to deal with the service discovery.
The subscribe would look something like this:
import { DiscoveryService, DiscoveryStatus, RedisDiscoveryStorage, RedisObservable } from "../../lib";
const clientOpts = {
host: 'localhost',
port: 6379
}
const discovery = new DiscoveryService({
name: 'TestDiscoveryService',
storage: new RedisDiscoveryStorage(clientOpts),
observable: new RedisObservable({ clientOpts }),
});
await discovery.subscribe('sample', {
async update(type: string, status: DiscoveryStatus) => {
console.log(`Got new discovery message from "${type}"`, { type, status });
}
});
The publisher would look something like this:
import { DiscoveryService, RedisDiscoveryStorage, RedisObservable } from "../../lib";
const clientOpts = {
host: 'localhost',
port: 6379
}
const discovery = new DiscoveryService({
name: 'TestDiscoveryService',
storage: new RedisDiscoveryStorage(clientOpts),
observable: new RedisObservable({ clientOpts }),
});
// Update a service named "sample" as "up"
await discovery.up('sample');
Memory
To start fast, you can use the debug version with a Memory storage. This is meant for development purposes only and won't work well under production loads.
import { DiscoveryService, DiscoveryStatus } from "../lib";
//
// NOTICE: Memory providers are for debug only
//
// This won't work in different process or instances
// For a decentralized approach check the Redis samples
const discovery = new DiscoveryService({ name: 'TestDiscoveryService' });
// Subscribe to "sample" service updates
await discovery.subscribe('sample', {
update: async (type: string, status: DiscoveryStatus) => {
discovery.logger.debug(`Got new discovery message from "${type}"`, { type, status });
}
});
// Somewhere in the code, you can update a service status
await discovery.up('sample');
Check the example code folder in the repository under ./examples
Check the published Github Page at https://nxtep-io.github.io/nano-discovery/
The project is licensed under the MIT License.
Generated using TypeDoc


CREATIVE HORSEPLAY
CHRIS DRAKE DOT HORSE
Director/AD/Producer. Horseplay Enthusiast.
GET WITH IT
© chris drake dot horse


public class PluginClassLoader
extends java.net.URLClassLoader
The class loader searches for classes and resources in the following order:
The class loader does not recurse into subdirectories beyond the first level.
| Constructor and Description |
|---|
PluginClassLoader(java.lang.String path)
Creates a new PluginClassLoader that searches in the directory path
passed as a parameter.
|
PluginClassLoader(java.lang.String path,
boolean callSuper)
This version of the constructor is used when ImageJ is launched using Java WebStart.
|
close, findResource, findResources, getResourceAsStream, getURLs, newInstance, newInstance
public PluginClassLoader(java.lang.String path)
path
- the path to the plugins directory.public PluginClassLoader(java.lang.String path, boolean callSuper)


var ( Verbose = true // show messages on console ColorsOn = true // use colors on console )
func AppendToFile(fn string, buffer ...*bytes.Buffer)
AppendToFile appends data to an existent (or new) file
func ArgToBool(idxArg int, defaultValue bool) bool
ArgToBool parses an argument as a boolean value
Input: idxArg -- index of argument; e.g. 0==first, 1==second, etc. defaultValue -- default value
func ArgToFilename(idxArg int, fnDefault, ext string, check bool) (filename, fnkey string)
ArgToFilename parses an argument as a filename
Input: idxArg -- index of argument; e.g. 0==first, 1==second, etc. fnDefault -- default filename; can be "" ext -- the file extension to be added; e.g. ".sim" check -- check for null filename Output: filename -- the filename with extension added fnkey -- filename key == filename without extension Notes: The first first argument may be a file with extention or not. Examples: If the first argument is "simulation.sim" or "simulation" (with ext=".sim") then the results are: filename="simulation.sim" and fnkey="simulation"
func ArgToFloat(idxArg int, defaultValue float64) float64
ArgToFloat parses an argument as a float64 value
Input: idxArg -- index of argument; e.g. 0==first, 1==second, etc. defaultValue -- default value
func ArgToInt(idxArg int, defaultValue int) int
ArgToInt parses an argument as an integer value
Input: idxArg -- index of argument; e.g. 0==first, 1==second, etc. defaultValue -- default value
func ArgToString(idxArg int, defaultValue string) string
ArgToString parses an argument as a string
Input: idxArg -- index of argument; e.g. 0==first, 1==second, etc. defaultValue -- default value
func ArgsTable(title string, data ...interface{}) (table string)
ArgsTable prints a nice table with input arguments
Input: title -- title of table; e.g. INPUT ARGUMENTS data -- sets of THREE items in the following order: description, key, value, ... description, key, value, ... ... description, key, value, ...
func Atob(val string) (bres bool)
Atob converts string to bool
func Atof(val string) (res float64)
Atof converts string to float64
func Atoi(val string) (res int)
Atoi converts string to integer
func Btoa(flag bool) string
Btoa converts flag to string
Note: true => "true" false => "false"
func Btoi(flag bool) int
Btoi converts flag to interger
Note: true => 1 false => 0
func CopyFileOver(destination, source string) (err error)
CopyFileOver copies file (Linux only with cp), overwriting if it exists already
func DblSf(msg string, slice []float64) string
DblSf is the Sprintf for a slice of float64 (without brackets)
func ExtractStrPair(pair, sep string) (key, val string)
ExtractStrPair extracts the pair from, e.g., "key:val"
Note: it returs empty strings if any is not found
func Ff(b *bytes.Buffer, msg string, prm ...interface{})
Ff wraps Fprintf
func FnExt(fn string) string
FnExt returns the extension of a file name. The extension is the suffix beginning at the final dot in the final element of path; it is empty if there is no dot.
func FnKey(fn string) string
FnKey returns the file name key (without path and extension, if any)
func IntSf(msg string, slice []int) string
IntSf is the Sprintf for a slice of integers (without brackets)
func Itob(val int) bool
Itob converts from integer to bool
Note: only zero returns false anything else returns true
func JoinKeys(keys []string) string
JoinKeys join keys separeted by spaces
func JoinKeys3(k0, k1, k2 []string, sep string) (res string)
JoinKeys3 joins keys from 3 slices into a string with sets separated by sep and keys separeted by spaces
func JoinKeys4(k0, k1, k2, k3 []string, sep string) (res string)
JoinKeys4 joins keys from 4 slices into a string with sets separated by sep and keys separeted by spaces
func JoinKeysPre(prefix string, keys []string) (res string)
JoinKeysPre join keys separeted by spaces with a prefix
func Keycode(String string, Type string) (keycode string, found bool)
Keycode extracts a keycode from a string such as "!typeA:keycodeA !typeB:keycodeB!typeC:keycodeC"
Note: String == "!keyA !typeB:valB" is also valid
func Keycodes(String string) (keycodes []string)
Keycodes extracts keys from a keycode (extra) string
Example: "!keyA !typeB:valB" => keycodes = [keyA, typeB]
func OpenFileR(fn string) (fil *os.File, err error)
OpenFileR opens a file for reading data
func PathKey(fn string) string
PathKey returs the full path except the extension
func Pf(msg string, prm ...interface{})
func PfBlue(msg string, prm ...interface{})
func PfCyan(msg string, prm ...interface{})
func PfGreen(msg string, prm ...interface{})
func PfMag(msg string, prm ...interface{})
func PfRed(msg string, prm ...interface{})
func PfWhite(msg string, prm ...interface{})
func PfYel(msg string, prm ...interface{})
func Pfblue(msg string, prm ...interface{})
func Pfblue2(msg string, prm ...interface{})
func Pfcyan(msg string, prm ...interface{})
func Pfcyan2(msg string, prm ...interface{})
func Pfdgreen(msg string, prm ...interface{})
func Pfdyel(msg string, prm ...interface{})
func Pfdyel2(msg string, prm ...interface{})
func Pfgreen(msg string, prm ...interface{})
func Pfgreen2(msg string, prm ...interface{})
func Pfgrey(msg string, prm ...interface{})
func Pfgrey2(msg string, prm ...interface{})
func Pflmag(msg string, prm ...interface{})
func Pfmag(msg string, prm ...interface{})
func Pforan(msg string, prm ...interface{})
func Pfpink(msg string, prm ...interface{})
func Pfpurple(msg string, prm ...interface{})
func Pfred(msg string, prm ...interface{})
func Pfyel(msg string, prm ...interface{})
func Pipeline(cmds ...*exec.Cmd) (pipeLineOutput, collectedStandardError []byte, pipeLineError error)
Pipeline strings together the given exec.Cmd commands in a similar fashion to the Unix pipeline. Each command's standard output is connected to the standard input of the next command, and the output of the final command in the pipeline is returned, along with the collected standard error of all commands and the first error found (if any).
by Kyle Lemons
To provide input to the pipeline, assign an io.Reader to the first's Stdin.
func ReadFile(fn string) (b []byte, err error)
ReadFile reads bytes from a file
func ReadLines(fn string, cb ReadLinesCallback)
ReadLines reads lines from a file and calls ReadLinesCallback to process each line being read
func ReadLinesFile(fil *os.File, cb ReadLinesCallback) (oserr error)
ReadLinesFile reads lines from a file and calls ReadLinesCallback to process each line being read
func ReadMatrix(fn string) (M [][]float64, err error)
ReadMatrix reads a text file in which the float64 type of numeric values represent a matrix of data. The number of columns must be equal, including for the headers
func ReadTable(fn string) (keys []string, T map[string][]float64, err error)
ReadTable reads a text file in which the first line contains the headers and the next lines the float64 type of numeric values. The number of columns must be equal, including for the headers
func ReadTableOrPanic(fn string) (keys []string, T map[string][]float64)
ReadTableOrPanic reads text file as ReadTable; but panic on errors
func RemoveAll(key string)
RemoveAll deletes all files matching filename specified by key (be careful)
func RunCmd(verbose bool, cmd string, args ...string) (string, error)
RunCmd runs external command
func Sf(msg string, prm ...interface{}) string
Sf wraps Sprintf
func SplitFloats(str string) (res []float64)
SplitFloats splits space-separated float numbers
func SplitInts(str string) (res []int)
SplitInts splits space-separated integers
func SplitKeys(keys string) []string
SplitKeys splits keys separeted by spaces
func SplitKeys3(res string) (k0, k1, k2 []string)
SplitKeys3 splits a string with three sets of keys separated by comma
func SplitKeys4(res string) (k0, k1, k2, k3 []string)
SplitKeys4 splits a string with four sets of keys separated by comma
func SplitSpacesQuoted(str string) (res []string)
SplitSpacesQuoted splits string with quoted substrings. e.g. " a,b, 'c', \"d\" "
func SplitWithinParentheses(s string) (res []string)
SplitWithinParentheses extracts arguments (substrings) within brackets e.g.: "(arg1, (arg2.1, arg2.2), arg3, arg4, (arg5.1,arg5.2, arg5.3 ) )"
func StrSf(msg string, slice []string) string
StrSf is the Sprintf for a slice of string (without brackets)
func StrSpaces(n int) (l string)
StrSpaces returns a line with spaces
func StrThickLine(n int) (l string)
StrThickLine returns a thick line (using '=')
func StrThinLine(n int) (l string)
StrThinLine returns a thin line (using '-')
func TexNum(fmt string, num float64, scientificNotation bool) (l string)
TexNum returns a string representation in TeX format of a real number. scientificNotation:
peforms the conversion of numbers into scientific notation where the exponent notation with e{+-}{##} is converted into \cdot 10^{{+-}##}
func UnColor(msg string) string
UnColor removes console characters used to show colors
func WriteBytesToFile(fn string, b []byte)
WriteBytesToFile writes bytes to a new file
func WriteBytesToFileD(dirout, fn string, b []byte)
WriteBytesToFile writes bytes to a new file and create a directory to save the file within
func WriteFile(fn string, buffer ...*bytes.Buffer)
WriteFile writes data to a new file
func WriteFileD(dirout, fn string, buffer ...*bytes.Buffer)
WriteFileD writes data to a new file and create a directory to save the file within
func WriteFileS(fn, data string)
WriteFileS writes data string to a new file
func WriteFileSD(dirout, fn, data string)
WriteFileSD writes data string to a new file after creating a directory to save the file
func WriteFileV(fn string, buffer ...*bytes.Buffer)
WriteFileV writes data to a new file (and shows message: file written)
func WriteFileVD(dirout, fn string, buffer ...*bytes.Buffer)
WriteFileVD writes data to a new file (and shows message: file written), after creating a directory
type ReadLinesCallback func(idx int, line string) (stop bool)
ReadLinesCallback is used in ReadLines to process line by line during reading of a file


Pass Out...
Trying this technique came to me at the beginning of 2003, my friend recommended a fun thing to do where he told me to sit in a chair with my head between my knees and hyperventalate for 30-40 breaths or until I became very light headed then put my hands in a v shape at the heels of them and strangle myself, after a few seconds I should be getting this incredible feeling of a bloodrush and weakness and to keep hanging on to my neck. Then I'd wake up.
I asked him what he meant by just wake up, he told me to just try and I'd see.  After being assured many times I would be fine I said maybe one day I'll try it. A few days later I was sitting around bored with absolutley nothing to do so I thought 'screw it you only live once'. So I sat on the couch, put my head between my knees and started taking deep quick breaths, after 20 or 30 I felt already like I would pass out so I stood up and put the choke hold on, I remember the room got fuzzy and I felt weak, then I woke up from the most indescribable 10 second dream, it was like all the noise around me was still audible but nothing was comprehendable, it felt like a struggle back to conciousness and when I did come to I was like 'Hey why the hell am I laying here asleep?...' then within a few seconds everything comes back to me and I was back to normal. Very awsome experience worth at least 1 try.
Since I first started doing this I've done it countless times with no side effects what-so-ever. All in all the dream I have while under is an incredible experience, probably not as good as acid, DXM or a good datura trip (I don't do drugs so this is what I do when I'm bored, other than the odd drink or two) but its free, legal, and low risk.
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.


Your Title
—— Learn to Write, Write to Learn
Thanks to
Github
,
Jekyll
and
StepByStep v1.1.0
All
jekyll
markdown
最新评论


"""
This module contains functions to set up the log-likelihood for the GLM model.
"""
import numpy as np
# from oct2py import octave # needed for performing convolution through octave mex function
from auxiliary_functions import sameconv
from auxiliary_functions import spikeconv
from auxiliary_functions import makeInterpMatrix2
import os
import pandas as pd
[docs]def setupLogL(Stim,tsp,K,H,dt):
"""
Performs preliminary processing of the stimulus and spike trains,
and returns the negative log-likelihood function and its gradient
(as functions of the filter coefficients).
Parameters
----------
Stim : array_like
Stimulus.
tsp : array_like
Spike times.
K : array_like
Stimulus basis.
H : array_like
Post-spike basis.
dt : float
Discretization step for the likelihood.
Returns
-------
fun : function
Evaluates the negative log-likelihood.
fun_grad : function
Evaluates the gradient of the negative log-likelihood.
Notes
-----
Using one neuron
It requires the global variable path_to_spikeconv_mex.
It requires octave installation and addition of the octave path.
"""
# OCTAVE CONVOLUTION:
# add the path to the external octave function:
# global path_to_spikeconv_mex
# path_to_spikeconv_mex = os.getcwd()+'/external'
# octave.addpath(path_to_spikeconv_mex)
RefreshRate = 100
nofBins = int(1/dt)
dim_k = K.shape[1]
# convert the spiking times to the new sampling lattice (to integers)
tsp_int = np.ceil((tsp - dt*0.001)/dt)
tsp_int = np.reshape(tsp_int,(tsp_int.shape[0],1))
tsp_int = tsp_int.astype(int)
# OCTAVE CONVOLUTION
# run spikeconv_mex from octave path
# M_h = octave.spikeconv_mex(tsp_int,H,np.array([1,Stim.shape[0]/dt]))
M_h = spikeconv(tsp_int,H,np.array([1,Stim.shape[0]/dt]))
# convolving the stimulus with each basis function
Stim_convolved = sameconv(Stim,K)
# interpolating at the locations determined by nofBins
m = Stim_convolved.shape[0]
M_k = np.zeros((nofBins*m,dim_k)) # this will fail for one dimensional K
for i in np.arange(dim_k):
M_k[:,i] = np.interp(np.linspace(0,m,nofBins*m),np.arange(m),Stim_convolved[:,i])
# create a function evaluating the likelihood
def fun(pars):
coeff_k = pars[:M_k.shape[1]]
coeff_h = pars[M_k.shape[1]:]
# calculate the conditional intensity
cond_intensity = np.exp(np.dot(M_k,coeff_k)+np.dot(M_h,coeff_h))
# fix the starting points
tspi = 1
start_idx = 1
trm1 = -sum(np.log(cond_intensity[tsp_int[tspi:]]))[0] # Spiking term
trm2 = sum(cond_intensity[start_idx:])*dt/RefreshRate # Non-Spiking term
return(trm1 + trm2)
def fun_grad(pars):
# extracting the coefficients
coeff_k = pars[:M_k.shape[1]]
coeff_h = pars[M_k.shape[1]:]
# non-spiking terms
dLdk = (np.dot(np.exp(np.dot(M_k,coeff_k) + np.dot(M_h,coeff_h)),M_k))*dt/RefreshRate
dLdh = (np.dot(np.exp(np.dot(M_k,coeff_k) + np.dot(M_h,coeff_h)),M_h))*dt/RefreshRate
# spiking terms
dLdk = dLdk - sum(M_k[np.hstack(tsp_int),:])
dLdh = dLdh - sum(M_h[np.hstack(tsp_int),:])
return(np.hstack((dLdk,dLdh)))
return(fun,fun_grad)
[docs]def construct_covariates(Stim,tsp,K,H,dt):
"""
Performs preliminary processing of the stimulus and spike trains,
and returns the negative log-likelihood function and its gradient
(as functions of the filter coefficients).
Parameters
----------
Stim : array_like
Stimulus.
tsp : array_like
Spike times.
K : array_like
Stimulus basis.
H : array_like
Post-spike basis.
dt : float
Discretization step for the likelihood.
Returns
-------
fun : function
Evaluates the negative log-likelihood.
fun_grad : function
Evaluates the gradient of the negative log-likelihood.
Notes
-----
Using one neuron
It requires the global variable path_to_spikeconv_mex.
It requires octave installation and addition of the octave path.
"""
nofBins = int(1/dt)
dim_k = K.shape[1]
# convert the spiking times to the new sampling lattice (to integers)
tsp_int = np.ceil((tsp - dt*0.001)/dt)
tsp_int = np.reshape(tsp_int,(tsp_int.shape[0],1))
tsp_int = tsp_int.astype(int)
# OCTAVE CONVOLUTION:
# run spikeconv_mex from octave path
# M_h = octave.spikeconv_mex(tsp_int,H,np.array([1,Stim.shape[0]/dt]))
M_h = spikeconv(np.hstack(tsp_int),H,np.array([1,Stim.shape[0]/dt]))
# convolving the stimulus with each basis function
Stim_convolved = sameconv(Stim,K)
# interpolating at the locations determined by nofBins
m = Stim_convolved.shape[0]
M_k = np.zeros((nofBins*m,dim_k)) # this will fail for one dimensional K
for i in np.arange(dim_k):
M_k[:,i] = np.interp(np.linspace(0,m,nofBins*m),np.arange(m),Stim_convolved[:,i])
M = np.hstack((M_k,M_h))
return(M)
[docs]def construct_M_h(tsp,H,dt,Stim):
"""
Performs preliminary processing of the spike trains,
and returns the matrix corresponding to the post-spike filter.
Parameters
----------
Stim : array_like
Stimulus.
tsp : array_like
Spike times.
K : array_like
Stimulus basis.
H : array_like
Post-spike basis.
dt : float
Discretization step for the likelihood.
Returns
-------
M_h
Notes
-----
Using one neuron
"""
# convert the spiking times to the new sampling lattice (to integers)
tsp_int = np.ceil((tsp - dt*0.001)/dt)
tsp_int = np.reshape(tsp_int,(tsp_int.shape[0],1))
tsp_int = tsp_int.astype(int)
# OCTAVE CONVOLUTION
# run spikeconv_mex from octave path
# M_h = octave.spikeconv_mex(tsp_int,H,np.array([1,Stim.shape[0]/dt]))
M_h = spikeconv(np.hstack(tsp_int),H,np.array([1,Stim.shape[0]/dt]))
return(M_h)
[docs]def construct_M_k(Stim,K,dt):
"""
Performs preliminary processing of the stimulus and spike trains,
and returns the negative log-likelihood function and its gradient
(as functions of the filter coefficients).
Parameters
----------
Stim : array_like
Stimulus.
tsp : array_like
Spike times.
K : array_like
Stimulus basis.
H : array_like
Post-spike basis.
dt : float
Discretization step for the likelihood.
Returns
-------
fun : function
Evaluates the negative log-likelihood.
fun_grad : function
Evaluates the gradient of the negative log-likelihood.
Notes
-----
Using one neuron
It requires the global variable path_to_spikeconv_mex.
It requires octave installation and addition of the octave path.
"""
# assuming the source code is in the main directory
# convolving the stimulus with each basis function
Stim_convolved = sameconv(Stim,K)
nofBins = int(1/dt)
dim_k = K.shape[1]
# Direct interpolation at the locations determined by nofBins
# m = Stim_convolved.shape[0]
# M_k = np.zeros((nofBins*m,dim_k)) # this will fail for one dimensional K
# for i in np.arange(dim_k):
# M_k[:,i] = np.interp(np.linspace(0,m,nofBins*m),np.arange(m),Stim_convolved[:,i])
# reading the interpolating matrix - might take some time (direct)
#MM = np.array(pd.read_csv(os.path.join(os.getcwd(),'..','code','InterpolatingMatrix.csv'),header = None))
MM = makeInterpMatrix2(len(Stim),round(1/dt))
M_k = np.dot(MM,Stim_convolved)
return(M_k)


internal WebSocketListener(server: BasaltServer)
Constructs a WebSocketListener from a BasaltServer instance.
Constructor Constructs a WebSocketListener from a BasaltServer instance.


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Before we move to some of the advanced topics, we will develop the basis for a real Python service that actually does something useful!
The first version of our service starts by accepting connections over a named pipe and comes complete with a client that connects to the service. You then enhance the service by writing to the Event Log and by providing Performance Monitor data.
The first cut looks very much like the SmallestPythonService, except it has more meat in the SvcDoRun() method. The main thread creates a named pipe and waits for either a client to connect or a service control request.
More information on named pipes can be found in Chapter 17.This example also shows a number of concepts important when using named pipes. It shows how to use overlapped I/O, and how to create a special security object useful for named-pipe services:
# PipeService1.py # # A sample demonstrating a service which uses a # named-pipe to accept client connections. import win32serviceutil import win32service import win32event import win32pipe import win32file import pywintypes import winerror class PipeService(win32serviceutil.ServiceFramework): _svc_name_ = "PythonPipeService" _svc_display_name_ = "A sample Python service using named pipes" def __init__(self, args): win32serviceutil.ServiceFramework.__init__(self, args) # Create an event which we will use to wait on. # The "service stop" request will set this event. self.hWaitStop = win32event.CreateEvent(None, 0, 0, None) # We need to use overlapped IO for this, so we don't block when # waiting for a client to connect. This is the only effective way # to handle either a client connection, or a service stop request. self.overlapped = pywintypes.OVERLAPPED() # And create an event to be used in the OVERLAPPED object. self.overlapped.hEvent = win32event.CreateEvent(None,0,0,None) def SvcStop(self): # Before we do anything, tell the SCM we are starting the stop process. self.ReportServiceStatus(win32service.SERVICE_STOP_PENDING) # And set my event. win32event.SetEvent(self.hWaitStop) def SvcDoRun(self): # We create our named pipe. pipeName = "\\\\.\\pipe\\PyPipeService" openMode = win32pipe.PIPE_ACCESS_DUPLEX | win32file.FILE_FLAG_OVERLAPPED pipeMode = win32pipe.PIPE_TYPE_MESSAGE # When running as a service, we must use special security for the pipe sa = pywintypes.SECURITY_ATTRIBUTES() # Say we do have a DACL, and it is empty # (ie, allow full access!) sa.SetSecurityDescriptorDacl ( 1, None, 0 ) pipeHandle = win32pipe.CreateNamedPipe(pipeName, openMode, pipeMode, win32pipe.PIPE_UNLIMITED_INSTANCES, 0, 0, 6000, # default buffers, and 6 second timeout. sa) # Loop accepting and processing connections while 1: try: hr = win32pipe.ConnectNamedPipe(pipeHandle, self.overlapped) except error, details: print "Error connecting pipe!", details pipeHandle.Close() break if hr==winerror.ERROR_PIPE_CONNECTED: # Client is fast, and already connected - signal event win32event.SetEvent(self.overlapped.hEvent) # Wait for either a connection, or a service stop request. timeout = win32event.INFINITE waitHandles = self.hWaitStop, self.overlapped.hEvent rc = win32event.WaitForMultipleObjects(waitHandles, 0, timeout) if rc==win32event.WAIT_OBJECT_0: # Stop event break else: # Pipe event - read the data, and write it back. # (We only handle a max of 255 characters for this sample) try: hr, data = win32file.ReadFile(pipeHandle, 256) win32file.WriteFile(pipeHandle, "You sent me:" + data) # And disconnect from the client. win32pipe.DisconnectNamedPipe(pipeHandle) except win32file.error: # Client disconnected without sending data # or before reading the response. # Thats OK - just get the next connection continue if __name__=='__main__': win32serviceutil.HandleCommandLine(PipeService)
This technique for working with named pipes doesn't scale well; our version accepts only a single client connection at a time. Another alternative is to use a new thread to process each connection as it comes in, as demonstrated in pipeTestService.py, which comes with the Window's extensions. Even this solution doesn't scale when the number of connections starts to become large, and other techniques, such as thread pooling or NT Completion Ports should be used.
Now let's write a client program to use this service. The client program is quite simple, because the Win32 API function CallNamedPipe() encapsulates all of the code most clients ever need. CallNamedPipe() is available in the win32pipe module.
The client sends all the command-line parameters to the server, then prints the server's response:
# PipeServiceClient.py # # A client for testing the PipeService. # # Usage: # # PipeServiceClient.py message import win32pipe import sys import string if __name__=='__main__': message = string.join(sys.argv[1:]) pipeName = "\\\\.\\pipe\\PyPipeService" data = win32pipe.CallNamedPipe(pipeName, message, 512, 0) print "The service sent back:" print data
Now let's test the service. The first step is to register the service:
C:\Scripts> PipeService1 install Installing service PythonPipeService to Python class C:\Scripts\PipeService1.PipeService Service installed C:\Scripts>
Now start the service:
C:\Scripts> PipeService1.py start Starting service PythonPipeService C:\Scripts>
And use the client to send the service some data:
C:\Scripts> PipeServiceClient.py Hi there, how are you The service sent back: You sent me:Hi there, how are you C:>Scripts>
Our service seems to be working as expected!
You're now finished; you can stop the service:
C:\Scripts> PipeService1.py stop Stopping service PythonPipeService C:>Scripts>
And remove it from the Service database:
C:\Scripts> PipeService1.py remove Removing service PythonPipeService Service removed C:\Scripts>
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