|
Max API
8.2.0
|
Modules | |
| Buffers | |
| Your object can access shared data stored in an MSP buffer~ object. | |
| PFFT | |
| When an object is instantiated, it is possible to determine if it is being created in pfft~ context in the new method. | |
| Poly | |
| If your object is instatiated as a voice of a poly~ object, it is possible both to determine this context and to determine information about the specific voice. | |
Data Structures | |
| struct | t_pxdata |
| Common struct for MSP objects. More... | |
| struct | t_pxobject |
| Header for any non-ui signal processing object. More... | |
| struct | t_signal |
| The signal data structure. More... | |
| struct | t_pxjbox |
| Header for any ui signal processing object. More... | |
Macros | |
| #define | Z_NO_INPLACE |
| flag indicating the object doesn't want signals in place | |
| #define | Z_PUT_LAST |
| when list of ugens is resorted, put this object at end | |
| #define | Z_PUT_FIRST |
| when list of ugens is resorted, put this object at beginning | |
| #define | PI |
| The pi constant. More... | |
| #define | TWOPI |
| Twice the pi constant. More... | |
| #define | PIOVERTWO |
| Half of the pi constant. More... | |
| #define | dsp_setup |
| This is commonly used rather than directly calling z_dsp_setup() in MSP objects. | |
| #define | dsp_free |
| This is commonly used rather than directly calling z_dsp_free() in MSP objects. | |
Typedefs | |
| typedef void * | t_vptr |
| A void pointer. More... | |
| typedef void * | vptr |
| A void pointer. More... | |
| typedef float | t_float |
| A float – always a 32 bit floating point number. More... | |
| typedef double | t_double |
| A double – always a 64 bit floating point number. More... | |
| typedef double | t_sample |
| A sample value – width determined by MSP version. More... | |
Enumerations | |
| enum | { SYS_MAXBLKSIZE } |
| MSP System Properties. More... | |
Functions | |
| int | sys_getmaxblksize (void) |
| Query MSP for the maximum global vector (block) size. More... | |
| int | sys_getblksize (void) |
| Query MSP for the current global vector (block) size. More... | |
| float | sys_getsr (void) |
| Query MSP for the global sample rate. More... | |
| int | sys_getdspstate (void) |
| Query MSP to determine whether or not it is running. More... | |
| int | sys_getdspobjdspstate (t_object *o) |
| Query MSP to determine whether or not a given audio object is in a running dsp chain. More... | |
| void | dsp_add (t_perfroutine f, int n,...) |
| Call this function in your MSP object's dsp method. More... | |
| void | dsp_addv (t_perfroutine f, int n, void **vector) |
| Call this function in your MSP object's dsp method. More... | |
| void | z_dsp_setup (t_pxobject *x, long nsignals) |
| Call this routine after creating your object in the new instance routine with object_alloc(). More... | |
| void | z_dsp_free (t_pxobject *x) |
| This function disposes of any memory used by proxies allocated by dsp_setup(). More... | |
| void | class_dspinit (t_class *c) |
| This routine must be called in your object's initialization routine. More... | |
| void | class_dspinitjbox (t_class *c) |
| This routine must be called in your object's initialization routine. More... | |
Variables | |
| BEGIN_USING_C_LINKAGE typedef t_int *(* | t_perfroutine )(t_int *args) |
| A function pointer for the audio perform routine used by MSP objects to process blocks of samples. More... | |
| #define PI |
The pi constant.
| #define PIOVERTWO |
Half of the pi constant.
| #define TWOPI |
Twice the pi constant.
| typedef double t_double |
A double – always a 64 bit floating point number.
| typedef float t_float |
A float – always a 32 bit floating point number.
| typedef double t_sample |
A sample value – width determined by MSP version.
| typedef void* t_vptr |
A void pointer.
| typedef void* vptr |
A void pointer.
| anonymous enum |
| void class_dspinit | ( | t_class * | c | ) |
This routine must be called in your object's initialization routine.
It adds a set of methods to your object's class that are called by MSP to build the DSP call chain. These methods function entirely transparently to your object so you don't have to worry about them. However, you should avoid binding anything to their names: signal, userconnect, nsiginlets, and enable.
This routine is for non-user-interface objects only (where the first item in your object's struct is a t_pxobject). It must be called prior to calling class_register() for your class.
| c | The class to make dsp-ready. |
| void class_dspinitjbox | ( | t_class * | c | ) |
This routine must be called in your object's initialization routine.
It adds a set of methods to your object's class that are called by MSP to build the DSP call chain. These methods function entirely transparently to your object so you don't have to worry about them. However, you should avoid binding anything to their names: signal, userconnect, nsiginlets, and enable.
This routine is for user-interface objects only (where the first item in your object's struct is a t_jbox).
| c | The class to make dsp-ready. |
| void dsp_add | ( | t_perfroutine | f, |
| int | n, | ||
| ... | |||
| ) |
Call this function in your MSP object's dsp method.
This function adds your object's perform method to the DSP call chain and specifies the arguments it will be passed. n, the number of arguments to your perform method, should be followed by n additional arguments, all of which must be the size of a pointer or a long.
| f | The perform routine to use for processing audio. |
| n | The number of arguments that will follow |
| ... | The arguments that will be passed to the perform routine. |
| void dsp_addv | ( | t_perfroutine | f, |
| int | n, | ||
| void ** | vector | ||
| ) |
Call this function in your MSP object's dsp method.
Use dsp_addv() to add your object's perform routine to the DSP call chain and specify its arguments in an array rather than as arguments to a function.
| f | The perform routine to use for processing audio. |
| n | The number of arguments that will follow in the vector parameter. |
| vector | The arguments that will be passed to the perform routine. |
| int sys_getblksize | ( | void | ) |
Query MSP for the current global vector (block) size.
| int sys_getdspobjdspstate | ( | t_object * | o | ) |
Query MSP to determine whether or not a given audio object is in a running dsp chain.
This is preferable over sys_getdspstate() since global audio can be on but an object could be in a patcher that is not running.
| int sys_getdspstate | ( | void | ) |
Query MSP to determine whether or not it is running.
| int sys_getmaxblksize | ( | void | ) |
Query MSP for the maximum global vector (block) size.
| float sys_getsr | ( | void | ) |
Query MSP for the global sample rate.
| void z_dsp_free | ( | t_pxobject * | x | ) |
This function disposes of any memory used by proxies allocated by dsp_setup().
It also notifies the signal compiler that the DSP call chain needs to be rebuilt if signal processing is active. You should be sure to call this before de-allocating any memory that might be in use by your object’s perform routine, in the event that signal processing is on when your object is freed.
| x | The object to free. |
| void z_dsp_setup | ( | t_pxobject * | x, |
| long | nsignals | ||
| ) |
Call this routine after creating your object in the new instance routine with object_alloc().
Cast your object to t_pxobject as the first argument, then specify the number of signal inputs your object will have. dsp_setup() initializes fields of the t_pxobject header and allocates any proxies needed (if num_signal_inputs is greater than 1).
Some signal objects have no inputs; you should pass 0 for num_signal_inputs in this case. After calling dsp_setup(), you can create additional non-signal inlets using intin(), floatin(), or inlet_new().
| x | Your object's pointer. |
| nsignals | The number of signal/proxy inlets to create for the object. |
| BEGIN_USING_C_LINKAGE typedef t_int*(* t_perfroutine) (t_int *args) | ( | t_int * | args | ) |
A function pointer for the audio perform routine used by MSP objects to process blocks of samples.


v1.1.0
ECAM.css is a CSS framework that replicates the look of ECAM display elements found in modern Airbus planes.
ECAM.css is available via NPM. To install it, run "npm i ecam.css"
-For more info.........Refer to README.md
ECAM.css has no width, height or layout properties. You need to manually adjust them.
There is no font packaged with this project but usage of Source Code Pro is recommended.
Please note that the default theme is dark and no light theme is planned since the original ECAM doesn't have it.
?
A350/A380 Style Question Form ?
ERROR
ERROR
WARNING
WARNING
INFO
INFO
ACTION
TEXT
ENG 2 FIRE
-THR LEVERS.......IDLE
.WHEN A/C IS STOPPED:
-PARKING BRK........ON
-ENG MASTER 2......OFF
-ENG 2 FIRE P/B...PUSH
-AGENT 1.........DISCH


There are no required course materials in the textbook form but there are digital services you'll need to purchase for one of our Labs which will have usage in multiple labs in the future. These services are hosting from Digital Ocean and a domain name from a registrar like Hover or Google Domains .
ELMS:LN / HAXTheWeb referral link
If you use this referral link you should get at least 1 month free. This is linked to an account the university uses for people to get access to HAXcms and ELMS:LN demos in a safe, offsite location. This is also my way of saying that I don't benefit personally from you using Digital Ocean, I just like their simplicity.
These services were selected for price point and ease of use. We will be going through all the steps of setting up a new server on Digital Ocean (which involves clicking buttons basically) and then getting our custom domain name wired up to the Digital Ocean server.
There are $5/month plans on Digital Ocean and domain names can typically be purchased for $12.99/year though can run as low as $5 when on sale. After class is over it's up to you if you want to keep paying for hosting / keep your domain name active but expect to spend between $25 and $50 depending on service you sign up for and domain name cost.
Paying more will get you access to faster server resources but are not required for what we're going to execute on the machine. We will be setting up the server and talking about how to wire things up most likely as part of our 4th lab session of the semester.


We will ask you questions about your health and your medical history. We will ask if you have SAMPLE and if you take certain medications. Because the purpose of this study is to look for patterns over time, we will ask you to review and update your answers from time to time. We might also ask new questions about your mood or how well you slept. These questions are important for the research study.
We will ask you to do simple activities. For example:
You can enable notifications from the app to receive reminders to do these surveys and activities.


Previous: -brief
The list consists of keywords separated by commas or colons. There are two special keywords: none to turn off all the options, and help to print the list of all the keywords with a brief explanation of each. (The keyword all turns on all the options, but should not normally be used since only one format should be specified.) If list is omitted, -calltree is equivalent to -calltree=tree, and -nocalltree is equivalent to -calltree=none. By default no call graph is printed.
If the -mkhtml option is invoked and tree is the applied calltree option, a file named CallTree.html, will also be produced depicting the tree in HTML format. This file is useful as a starting point for browsing the HTML files describing each component of the program.
The keywords which control which format is used are as follows:
Only one of the formats tree, reference, or vcg may be specified.
The following keywords control options affecting the output:
See the discussion of the -reference and -vcg flags for details about these formats.
For tree format, The call graph is printed out starting from the main program, which is listed on the first line at the left margin. Then on the following lines, each routine called by the main program is listed, indented a few spaces, followed by the subtree starting at that routine.
In the default mode, if a routine is called by more than one other routine, its call subtree is printed only the first time it is encountered Later calls give only the routine name and the notice ``(see above)''. To have the subtree printed for each occurrence of the routine, use option no-prune.
Note that the call tree will be incomplete if any of the input files are project files containing more than one module that were created in -library mode. See the discussion of project files below.
Technical points: Each list of routines called by a given routine is printed in alphabetical order unless the no-sort option is given. If multiple main programs are found, the call tree of each is printed separately. If no main program is found, a report to that effect is printed out, and the call trees of any top-level non-library routines are printed. This flag only controls the printing of the call tree: ftnchek constructs the call tree in any case because it is used to determine which library modules will be cross-checked. See the discussion of the -library flag.
For compatibility with previous versions of ftnchek, a numeric form of this setting is also accepted: the list is replaced by a number from 0 to 15. This number is formed from 1 for tree format, 2 for reference format, or 3 for vcg format, plus 4 for no-prune, and 8 for no-sort.
See also: -crossref, -library, -reference, -sort, -symtab, -vcg.
Next: -check


Market Update
Bitcoin Price Tests $8,500 Support as Trader Warns of Further New Lows
by William SubergBitcoin (BTC) fell below $8,600 on Nov. 14 as its slow grind downwards continues to see new lows haunt markets.
Cryptocurrency market daily overview. Source: Coin360
Bitcoin trends downwards at $8.6K
Data from Coin360 shows the largest cryptocurrency hitting $8,550 on Thursday, its lowest since late October. A subsequent rebound took BTC/USD back above $8,600.
Bitcoin seven-day price chart. Source: Coin360
Bitcoin has spent most of the week steadily eroding gains it made previously, first losing support at $9,000 and exiting a trading corridor that had previously kept it rangebound between $9,000 and $9,500.
Opinions remain mixed about the near-term prospects for traders, but bearish sentiment is creeping in as losses continue.
In his most recent update for subscribers of his Telegram channel, regular Cointelegraph contributor filbfilb warned that there was now potential for shorting BTC/USD and that a sharper drop could occur.
“Looks like we need to go lower. Getting signs to flip short but waiting on candle closes,” he said during Thursday’s trading.
As Cointelegraph reported, lower levels do not necessarily signal trouble for Bitcoin. According to some analysts, as well as the traditionally accurate Stock-to-Flow model for Bitcoin price forecasting, $8,300 is a realistic average price from now until May 2020.
Markets nonetheless continue to be erratic, with no one predicting October’s sudden advance to $10,500, which became the second-largest daily move in Bitcoin’s history.
Altcoins abandon bullish moves
Altcoins meanwhile have failed to keep hold of gains from earlier in the week, reversing Wednesday’s performance to shed a few percent on average.
Ether (ETH), the largest altcoin by market cap, dropped 1.6% to $184, while others in the top twenty coins fared worse, losing up to 4.5%. Stellar (XLM) brought up the rear, trading 5.5% lower.
Ether seven-day price chart. Source: Coin360
The overall cryptocurrency market cap was $238.7 billion at press time, with Bitcoin’s share 65.8%.
Keep track of top crypto markets in real time here


Dioscorea spp.
| DOSE: |
5.0 g |
oral |
Dioscorea spp. |
(tea) |
Dioscorea dregeana is one of a host of newly identified entheogens from Africa. Its name in African, 'Isidakwa' means, 'The drunkard'. It is a fascinating plant. A plant which produces a huge caudex. A caudex is a tuber which rises above the ground and develops to maturity before the rest of the plant starts to grow. The plant is a vine, related to the yam-type ivys. The caudex cab grow in native African conditions to several hundred pounds. This is a monolith amongst weird plants rivalling the Baobab for sheer splendor.
I placed an order for an ounce of this plant to accustom myself to whatever properties it might have in terms of mental exploration. It is said to be an anesthetic and depressive. I had learned through a website that a whole ounce is enough for 20 libations.
I foolishly decided to double the dose to get the full effect. I eyeballed less than a quarter of the ounce of the off-white dried root and put in through the grinder until it was powdered. Then I placed it in 4 ounces of water and heated it to a boil and then let it cool off until it could be drunk. Without ceremony I drank the liquid straight from the small pot and then washed the pot out. The taste was like a sordid ginger flavor which had a mild burn to it. I washed the flavor out of my mouth with some chocolate soy milk which did in fact get rid of the taste. However the stomach nausea started almost immediately.
I had to do some chores and so did them. After 20 minutes I felt a heaviness in the head which I identified as similar to the dizziness of straight caapi vine decoctions. The feeling intensified over the next 20 minutes until it was very uncomfortable. And my eyes began to lose focus while simultaneously my near vision got sharper. I sat down to read, still sceptical of the effects. But after a solid hour I stood up and walked unsteadily to do some other chores. At this point my limbs felt shaky and very wobbly and not soon after I was unable to walk. I still had to do some work moving some furniture and it was tremendously difficult; like trying to tug something while walking on a tightrope.
 My limbs got very shaky until I couldn't move. My wife told me to throw up which I did because the nausea was unbearable. Nonetheless the effects kept climbing for at least another hour. At +2 hours I still felt immobilized similar to the effect of drinking a Belladonna reduction. I felt this way for at least two more hours. There was no euphoria or any mental effect to make this buzz worthwhile.
A full six hours later and I am still feeling very sick. My entire day was ruined. I don't recommend that any other than the most knowledgable shaman keep this plant in their medicine chest. And definitely keep this one away from young kids. If you feel the need to try it then limit your dose to around 1 gram only.
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.


A series of standard sizes for untrimmed paper. They are slightly larger than the corresponding A-series sizes. Printers buy untrimmed paper, bind it and then trim it down to standard A- sizes.
The ratio of side lengths is the same as for A- series, i.e. $ 1 : \sqrt{2} , $ and RA0 size has area 1.05m2, RA1 half this, etc. So the sizes are:
RA0= 860 × 1220 mm;
RA1= 610 × 860 mm;
RA2= 430 × 610 mm;
RA3= 305 × 430 mm;
RA4= 215 × 305 mm.


The resources have been designed to reveal certain movements within games. It would
be impossible to assess all children against all the criteria in a single session. Concentrate the assessment on
a small group of children within each game. Repeat the game, if necessary, spreading the assessment across a
number of games.
Observe the child performing the movement in terms of head, arms, body, legs as an initial observation to look
at the general fluency and composure of the movement. Then, look at the movement again, breaking down the
different components of the child’s body in relation to the criteria. Using the on screen scoring system, select
numbers 1-5 to represent whether the child is emerging, ‘can do’, accomplished, confident or proficient against
the movement criteria.


A project done with Palantir to simplify how people choose their mode of transportation. Grommit utilizes the Google Maps API to determine the time it takes to get to parts of downtown Palo Alto. It displays these times in a color-coded format on a map to show how long it takes with certain modes of travel to reach parts of Palo Alto, so users can determine which mode of transportation works best for them.
Submitted to PennApps XVI. Won PennApps Route | Best Google Cloud Machine Learning API Hack and Best Use of Expo.io. A manga translator that uses a convolutional neural network and Google Cloud Platform translation to take a manga image, process, translate, and rewrite it into an image containing English translations in each text box.
Project done at ON.Lab during my internship. Consists of a probe (or two), a collector, a client, and a webserver. The probe is connected to an Internet network and sends all the packets in and out of the network router to the collector. The collector filters out everything except for the source and destination IP addresses of each packet and sends them to the client. The client uses reverse-DNS to find the sites corresponding to each IP address. If for each set amout of packets, the number of src/dest sites that are unproductive (ex: Facebook, Netflix) surpasses a set threshold, the client signals the server to create a warning message.
Submitted to HackingEDU in San Mateo, an educational hackathon with thousands of high school and college participants, and won Second Place Overall. This is a tool to help educators monitor students. Using a phone attached to the chair a student sits on, teachers can use the website to view the tilt of the chair and back posture. Using the Moxtra API, we use a second phone to stream what is on the student's desk to the website as well. With a Muse headset, we also tracked blinking to display on the website whether the student is falling asleep.
My PennApps project to help people find their lost items cheaply. Creates a QR code for every item you register in the system. If someone who finds the item scans the QR code after you lose it, the dashboard will display the location of the device that scanned the QR code, so you can find your lost item at no cost.
Created a website for Challenge to Conquer, a nonprofit that collects money in the United States for a hospital for challenged children in India, called Mithra. Donations are always greatfully accepted.


Packages are the primary way of adding functionality to Laravel. Packages might be anything from a great way to work with dates like Carbon, or an entire BDD testing framework like Behat.
Of course, there are different types of packages. Some packages are stand-alone, meaning they work with any framework, not just Laravel. Both Carbon and Behat are examples of stand-alone packages. Any of these packages may be used with Laravel by simply requesting them in your composer.json
file.
On the other hand, other packages are specifically intended for use with Laravel. These packages may have routes, controllers, views, and configuration specifically intended to enhance a Laravel application. This guide primarily covers the development of those that are Laravel specific.
All Laravel packages are distributed via Packagist and Composer, so learning about these wonderful PHP package distribution tools is essential.
Your package's internal structure is entirely up to you; however, typically each package will contain one or more service providers. The service provider contains any service container bindings, as well as instructions as to where package configuration, views, and translation files are located.
Package views are typically referenced using a double-colon "namespace" syntax:
return view('package::view.name');
All you need to do is tell Laravel where the views for a given namespace are located. For example, if your package is named "courier", you might add the following to your service provider's boot
method:
public function boot()
{
$this->loadViewsFrom(__DIR__.'/path/to/views', 'courier');
}
Now you may load your package views using the following syntax:
return view('courier::view.name');
When you use the loadViewsFrom
method, Laravel actually registers two locations for your views: one in the application's resources/views/vendor
directory and one in the directory you specify. So, using our courier
example: when requesting a package view, Laravel will first check if a custom version of the view has been provided by the developer in resources/views/vendor/courier
. Then, if the view has not been customized, Laravel will search the package view directory you specified in your call to loadViewsFrom
. This makes it easy for end-users to customize / override your package's views.
To publish your package's views to the resources/views/vendor
directory, you should use the publishes
method from the boot
method of your service provider:
public function boot()
{
$this->loadViewsFrom(__DIR__.'/path/to/views', 'courier');
$this->publishes([
__DIR__.'/path/to/views' => base_path('resources/views/vendor/courier'),
]);
}
Now, when users of your package execute Laravel's vendor:publish
command, your views directory will be copied to the specified location.
If you would like to overwrite existing files, use the --force
switch:
php artisan vendor:publish --force
Note: You may use the
publishes
method to publish any type of file to any location you wish.
Package translation files are typically referenced using a double-colon syntax:
return trans('package::file.line');
All you need to do is tell Laravel where the translations for a given namespace are located. For example, if your package is named "courier", you might add the following to your service provider's boot
method:
public function boot()
{
$this->loadTranslationsFrom(__DIR__.'/path/to/translations', 'courier');
}
Note that within your translations
folder, you would have further directories for each language, such as en
, es
, ru
, etc.
Now you may load your package translations using the following syntax:
return trans('courier::file.line');
Typically, you will want to publish your package's configuration file to the application's own config
directory. This will allow users of your package to easily override your default configuration options.
To publish a configuration file, just use the publishes
method from the boot
method of your service provider:
$this->publishes([
__DIR__.'/path/to/config/courier.php' => config_path('courier.php'),
]);
Now, when users of your package execute Laravel's vendor:publish
command, your file will be copied to the specified location. Of course, once your configuration has been published, it can be accessed like any other configuration file:
$value = config('courier.option');
You may also choose to merge your own package configuration file with the application's copy. This allows your users to include only the options they actually want to override in the published copy of the configuration. To merge the configurations, use the mergeConfigFrom
method within your service provider's register
method:
$this->mergeConfigFrom(
__DIR__.'/path/to/config/courier.php', 'courier'
);
Your packages may have assets such as JavaScript, CSS, and images. To publish assets, use the publishes
method from your service provider's boot
method. In this example, we will also add a "public" asset group tag.
$this->publishes([
__DIR__.'/path/to/assets' => public_path('vendor/courier'),
], 'public');
Now, when your package's users execute the vendor:publish
command, your files will be copied to the specified location. Since you typically will need to overwrite the assets every time the package is updated, you may use the --force
flag:
php artisan vendor:publish --tag=public --force
If you would like to make sure your public assets are always up-to-date, you can add this command to the post-update-cmd
list in your composer.json
file.
You may want to publish groups of files separately. For instance, you might want your users to be able to publish your package's configuration files and asset files separately. You can do this by 'tagging' them:
// Publish a config file
$this->publishes([
__DIR__.'/../config/package.php' => config_path('package.php')
], 'config');
// Publish your migrations
$this->publishes([
__DIR__.'/../database/migrations/' => database_path('/migrations')
], 'migrations');
You can then publish these files separately by referencing their tag like so:
php artisan vendor:publish --provider="Vendor\Providers\PackageServiceProvider" --tag="config"
To load a routes file for your package, simply include
it from within your service provider's boot
method.
public function boot()
{
include __DIR__.'/../../routes.php';
}
Note: If your package is using controllers, you will need to make sure they are properly configured in your
composer.json
file's auto-load section.


""" impyute.imputation.ts.moving_window """
import numpy as np
from impyute.util import find_null
from impyute.util import checks
from impyute.util import preprocess
# pylint: disable=invalid-name
# pylint:disable=unused-argument
[docs]@preprocess
@checks
def moving_window(data, nindex=None, wsize=5, errors="coerce", func=np.mean,
inplace=False, **kwargs):
""" Interpolate the missing values based on nearby values.
For example, with an array like this:
array([[-1.24940, -1.38673, -0.03214945, 0.08255145, -0.007415],
[ 2.14662, 0.32758 , -0.82601414, 1.78124027, 0.873998],
[-0.41400, -0.977629, nan, -1.39255344, 1.680435],
[ 0.40975, 1.067599, 0.29152388, -1.70160145, -0.565226],
[-0.54592, -1.126187, 2.04004377, 0.16664863, -0.010677]])
Using a `k` or window size of 3. The one missing value would be set
to -1.18509122. The window operates on the horizontal axis.
Usage
-----
The parameters default the function to a moving mean. You may want to change
the default window size:
moving_window(data, wsize=10)
To only look at past data (null value is at the rightmost index in the window):
moving_window(data, nindex=-1)
To use a custom function:
moving_window(data, func=np.median)
You can also do something like take 1.5x the max of previous values in the window:
moving_window(data, func=lambda arr: max(arr) * 1.50, nindex=-1)
Parameters
----------
data: numpy.ndarray
2D matrix to impute.
nindex: int
Null index. Index of the null value inside the moving average window.
Use cases: Say you wanted to make value skewed toward the left or right
side. 0 would only take the average of values from the right and -1
would only take the average of values from the left
wsize: int
Window size. Size of the moving average window/area of values being used
for each local imputation. This number includes the missing value.
errors: {"raise", "coerce", "ignore"}
Errors will occur with the indexing of the windows - for example if there
is a nan at data[x][0] and `nindex` is set to -1 or there is a nan at
data[x][-1] and `nindex` is set to 0. `"raise"` will raise an error,
`"coerce"` will try again using an nindex set to the middle and `"ignore"`
will just leave it as a nan.
inplace: {True, False}
Whether to return a copy or run on the passed-in array
Returns
-------
numpy.ndarray
Imputed data.
"""
if errors == "ignore":
raise Exception("`errors` value `ignore` not implemented yet. Sorry!")
if not inplace:
data = data.copy()
wsize = 5
nindex = None
if nindex is None: # If using equal window side lengths
assert wsize % 2 == 1, "The parameter `wsize` should not be even "\
"if the value `nindex` is not set since it defaults to the midpoint "\
"and an even `wsize` makes the midpoint ambiguous"
wside_left = wsize // 2
wside_right = wsize // 2
else: # If using custom window side lengths
assert nindex < wsize, "The null index must be smaller than the window size"
if nindex == -1:
wside_left = wsize - 1
wside_right = 0
else:
wside_left = nindex
wside_right = wsize - nindex - 1
while True:
null_xy = find_null(data)
n_null_prev = len(null_xy)
for x_i, y_i in null_xy:
left_i = max(0, y_i-wside_left)
right_i = min(wsize, y_i+wside_right+1)
window = data[x_i, left_i: right_i]
window_not_null = window[~np.isnan(window)]
if len(window_not_null) > 0:
try:
data[x_i][y_i] = func(window_not_null)
continue
except Exception as e:
if errors == "raise":
raise e
else:
pass
# Aggregate function didn't work for some reason
if errors == "coerce":
wside_left = wsize // 2
wside_right = wsize_left
window = data[x_i, y_i-wside_leftk: y_i + wside_right]
window_not_null = window[~np.isnan(window)]
try:
data[x_i][y_i] = func(window_not_null)
except Exception:
pass
if n_null_prev == len(find_null(data)):
break
return data


The following section will get you started width the Quotek SDK with a very simple code, Which will print a string along with the SDK version. This will both make a first contact with the SDK, and also ensure that your toolchain is working correctly with our SDK.
Ok, so to start we will need to include the main quotek header:
#include <quotek/quotek.hpp>
Next, we will write the main function that will print the SDK version, with the help of quotek::core::version().
int main(int argc, char** argv) {
std::cout << "Hello World, version is :" << quotek::core::version() << std::endl;
}
//File hello.cpp
#include <quotek/quotek.hpp>
int main(int argc, char** argv) {
std::cout << "Hello World, Version is: " << quotek::core::version() << std::endl;
}
Now let’s try to compile this. If You’re using linux, remember that the correct call to the compilation toolchain is the following:
g++ -std=c++11 -I/opt/quotek/include -L/opt/quotek/lib -o hello_world hello.cpp -lpthread -lquotek -lcurl
Otherwise, just use the ‘Compile’ fnction of your IDE.
Then if you run the freshly compiled binary, you should see the following output:
Hello World, version is: Quotek SDK v3.0


You can find interesting deck statistics on https://beempy.com/steemmonsters.
Every hour, the newly played matches are analyzed and the html pages are updated.
The number of decks which is included is currently limited by the API. You find the first and last time stamp on top.
Different deck definition
- Max level deck - only cards with maximum level
- Min Level deck - only cards with level 1
- 0% - 25% Level deck - only cards with a level below 25% of max level
- 25% - 50% Level deck - only cards with a level below 50% of max level
- 50% - 75% Level deck - only cards with a level below 75% of max level
- 75% - 100% Level deck - only decks with at least one card level below 100% of max level
For example for a max level deck:
Counter deck
Here, you find all decks that were able to win against a max level deck.
This page is synchronized from the post: ‘Do you want to know which decks currently win in steem monsters?’


Monitoring twitter allows Pressure to discover issues real-time by watching for activity spikes, no more waiting for the news or State Department to update their sites. Pressure gives you the alerts sometimes hours ahead of other information outlets.
Pressure knows your current location and the potential location of any activity and will give you phone numbers, directions and travel times to the nearest U.S. Embassy. It also gives you news and twitter feeds to keep you aprised of the current situation.
Available on all types of devices, Pressure works to keep the information simple, relevant and in context. This allows the user to quickly and easily notify their emergency contacts and see where threats might be. Putting the right information at your fingertips.
The Modern Business template by Start Bootstrap includes:
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Corporis, omnis doloremque non cum id reprehenderit, quisquam totam aspernatur tempora minima unde aliquid ea culpa sunt. Reiciendis quia dolorum ducimus unde.
The Modern Business template by Start Bootstrap includes:
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Corporis, omnis doloremque non cum id reprehenderit, quisquam totam aspernatur tempora minima unde aliquid ea culpa sunt. Reiciendis quia dolorum ducimus unde.
The solution:
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Corporis, omnis doloremque non cum id reprehenderit, quisquam totam aspernatur tempora minima unde aliquid ea culpa sunt. Reiciendis quia dolorum ducimus unde.
The Future:
Pressure continues to strive for advanced notification and safe passage for its users and those around them. Each new release adds functionality with safety in mind.
Please check out the working application, on your smartphone, laptop, desktop or tablet. We are always interested in improving this application, so please contact us with comments!


Plugin Information |
|---|
No information for the plugin 'lsf-cloud' is available. It may have been removed from distribution. |
Short description:
This plugin allows submitting batch jobs to LSF batch system.
Plugin features:
Adds a new type of cloud ("LSF Cloud") which creates a slave for every running job with the specified label and terminates the slave when the job is done. Every cloud is associated with a queue type of LSF batch system, so all slaves created by the cloud will submit batch jobs to the associated queue.
Adds a new type of build step ("Run job on LSF") which allows submitting a batch job to LSF. The build step monitors the job status and periodically (time is configurable) outputs the progress (output of the job) if the job is running. It also outputs the errors and the exit code of the job if the job fails. If the job is terminated in Jenkins, it is also terminated in LSF.
Allows files to be uploaded (or specified by a path) and sent to LSF before the execution of the job and downloaded from LSF after the job is finished (currently only shared file systems are supported), this is configured in the new build step.
Allows to select if the owner of the job should receive an email from LSF when the job is done.
How to use:
Go to "Manage Jenkins"->"Configure System" and add a new cloud "LSF Cloud".
Fill in the required information to the created cloud configuration. Make sure that the host to which the cloud will connect has access to LSF.
Now when you create a new project, you can add a build step "Run job on LSF" in which you can specify the batch job script which will be submitted to LSF (additional configurations are available but are optional). Make sure that the project is restricted where it can be run and the label specified matches the created LSF Cloud label.


CUDPP has currently been tested in Windows XP, Windows Vista, Mac OS X and Linux. See
Release Notes for release specific platform support.
CUDPP can be built using either or MSVC 8 (2005) or MSVC 9 (2008). To build, open cudpp/cudpp.sln. Then you can build the library using the "build" command as you would with any other workspace. There are four configurations: debug, release, emudebug, and emurelease. The first two are self-explanatory. The second two are built to use CUDA device emulation, meaning they will be run (slowly) on the CPU.
CUDPP can be built using standard g++ and Make tools on Linux, by typing "make" in the "cudpp/" subdirectory. Before building CUDPP, you should first build the CUDA Utility Library (libcutil) by typing "make; make dbg=1" in the "common/" subdirectory. This will generate libcutil.a and libcutilD.a.
The makefile for CUDPP and all sample applications take the optional arguments "emu=1" and "dbg=1". The former builds CUDPP for device emulation, and the latter for debugging. The two flags can be combined. "verbose=1" can be used to see all compiler output.
The sample applications in the "apps/" subdirectory can be built exactly like CUDPP is--either by opening the appropriate .sln/.vcproj file in MSVC in Windows, or using "make" in Linux.
On some Linux installations you will get linker errors relating to "-lXi" and "-lXmu". To fix this, you will need to install libXi and libXmu. On Debian and Ubuntu, for example, you can simply run "sudo apt-get install libxi-dev", and "sudo apt-get install libxmu-dev"


As always, this documention assumes some general familiarity with L-systems and only describes JFLAP's implementation of these structures. JFLAP allows a user to define an L-system and to render that system with an arbitrary level of substitution in three dimensions. The formal definition of an L-system requires three components, to which we add one to aid in drawing:
While the rules of replacement, the presence of an axiom, and soforth are universal to L-systems, the interpretation of those symbols to render a graphic is not part of the mathematical definition. At present there is one L-system renderer in JFLAP, and its description, including the symbols it recognizes, may be found here.
You can also have multiple symbols on the left side of the rewriting rule. JFLAP offers rules that are sensitive to context. These rules take the form of i a0 a1 ... ai-1 ai ai+1 ... an-2 an-1. In this list of n+1 symbols, the i symbol is an integer from 0 inclusive to n exclusive; the symbol ai is the symbol potentially being rewritten, but only if the string of symbols a0 a1 ... ai-1 come before it and ai+1 ... an-2 an-1 come after it. For example, the rewriting rule 2 a b c d x y z, in an expansion c would be rewritten with x y z if preceeded by the two symbols a b and the symbol d.
If multiple replacement rules dictate that a symbol is to be rewritten, one of the rules will be chosen uniformly at random when the expansion of symbols occurs. Additionally, lambda productions are allowed and indicate simply that the symbol should be removed.
Above the right scroll bar, just to the right of the "Parameter" column label, there is a small button. If you press it, you will see a popup menu with a list of those parameters the L-system renderer in JFLAP recognizes (one can't remember them all, can we?). For a full description of these parameters, view the pages for the L-system Renderer When you select a parameter name from this list, it will be entered into the table, and you will begin editing the value for that parameter. If you select a parameter that already exists in the table, then you will begin editing the parameter value for the existing entry.
The axiom field
holds the starting point
of the L-system.
The middle table
displays the rewriting rules.
You edit them here!
Rewriting rules look
like a grammar production
with left and right sides.
A rule's left side holds
the symbol to replace in
derivation strings.
The right side contains
what symbols the left symbol
will be replaced with.
The strings of symbols
in JFLAP's L-systems are
space delimited.
Strings without whitespace
should therefore be considered
a single symbol.
That is important!
Don't mistake "gfgg"
for "g f g g"!
The bottom table
holds drawing parameters
for the L-system.
Parameters set
in this table change how the
L-system renders.
The left column "Name"
holds the parameter name.
Right holds the value.
As an example,
set "color" to the value "green"
and "g" draws green lines!
Also, consider
setting "distance" to "18".
Lines are that length now.
You click in the box
above the table's scroll bar
for a list of names.
Choose one of these names,
and that named parameter
shows in the table.
Want to render this?
You choose the menu item
named "Render System"


CS294 Markov Chain Monte Carlo: Project Suggestions
Below is a list of suggestions for project topics. Please read the
detailed guidelines here first.
Once you have made your selections, please email me your first choice
plus at least one, and preferably two, alternatives.
Projects marked XXX have already been selected by someone.
Deadline for selecting a project: Friday November 6!
-
Detailed analysis of card shuffles. [Bayer & Diaconis,
Annals of Applied Probability, 1992; Diaconis, Fill & Pitman,
Combinatorics, Probability & Computing, 1992.]
-
XXX The Kruskal Count and Wild Kangaroos. [Lagarias, Rains and Vanderbei, 2009;
Montenegro and Tetali, ACM STOC, 2009.]
-
More on strong stationary times. [Aldous & Diaconis,
Advances in Applied Math., 1987; Diaconis & Fill,
Annals of Probability, 1990.]
-
More on stopping rules. [Lovasz & Winkler, London Math. Soc.
Lecture Note Series 218, 1995, and references therein.]
-
XXX Group representations and mixing times. [Diaconis & Shashahani,
Zeitschrift fuer Wahrscheinlichkeitstheorie, 1981;
Diaconis, Group Representations in Probability & Statistics,
1988.]
-
XXX Generating a Random Spanning Tree. [Aldous, SIAM Journal of Discrete
Math, 1990; Broder, IEEE FOCS, 1989; Wilson, ACM STOC, 1996.]
-
More on coupling for colorings.
[Dyer/Frieze, Random Structures & Algorithms, 2003; Hayes/Vigoda,
ACM-SIAM SODA, 2005.]
-
Tight analysis of the lozenge tilings Markov chain. [Wilson, Annals of
Applied Probability, 2004.]
-
More on Coupling from the Past - An interruptible algorithm. [Fill,
Annals of Applied Prob., 1998; Fill, Machida, Murdoch & Rosenthal,
Random Structures & Algorithms, 2000.]
-
Impossibility of finding an efficient Markovian coupling for Markov chains on matchings.
[Kumar & Ramesh, IEEE FOCS, 1999.]
-
Polynomial time algorithms for the Ising model. [Jerrum & Sinclair, SIAM Journal on
Computing, 1993.]
-
XXX Truncated cubes and the knapsack problem. [Morris & Sinclair,
SIAM Journal on Computing, 2004.]
-
The mixing time of the Thorp shuffle. [Morris, ACM STOC, 2004;
Morris Annals of Probability, to appear (see http://front.math.ucdavis.edu/0802.0339).]
-
An alternative bound on mixing times: Evolving Sets. [Morris & Peres,
ACM STOC, 2003; full version in Probability Theory & Related Fields, 2005.]
-
XXX Application of Evolving Sets to clustering. [Anderson & Peres,
ACM STOC, 2009.]
-
Another alternative bound on mixing times: the log-Sobolev inequality. [Diaconis
& Saloff-Coste, Annals of Applied Prob., 1996; Frieze & Kannan,
Annals of Applied Prob., 1999.]
-
Yet another alternative bound: Nash inequalities. [Diaconis
& Saloff-Coste, Journal of Theoretical Probability, 1996.]
-
XXX State of the art on volume computation. [Lovasz & Vempala, IEEE FOCS,
2003.]
-
Sampling problems associated with matroids. [Feder & Mihail, ACM
STOC, 1992; Azar, Broder & Frieze, Information Processing
Letters, 1994; Jerrum & Son, IEEE FOCS, 2002.]
-
Negative results on simulated annealing for maximum matching. [Sasaki
& Hajek, Journal of the ACM, 1988.]
-
Simulated tempering: a twist on simulated annealing. [Geyer
& Thompson, Journal of the American Statistical Association,
1995; Madras & Piccioni, Annals of Applied Probability, 1999.]
-
XXX The Dobrushin uniqueness condition: a "rapid mixing'' condition from
statistical physics. [Weitz, Random Structures & Algorithms, 2005;
Hayes, IEEE FOCS, 2006.]
- Slow mixing in Markov chains. [Gore & Jerrum, ACM STOC, 1997;
Borgs et al., IEEE FOCS, 1999.]
- A lower bound for Glauber dynamics. [Hayes & Sinclair, IEEE FOCS, 2005.]
-
The Ising model on trees. [Kenyon, Mossel and Peres, IEEE FOCS, 2001;
Martinelli, Sinclair and Weitz, IEEE FOCS, 2003.]
-
XXX Computing the surface area of a convex body. [Belkin, Narayanan & Niyogi,
IEEE FOCS, 2006.]
-
XXX An optimal scheme for approximate counting and computing partition functions
[Stefankovic, Vempala and Vigoda, IEEE FOCS, 2007.]


Database Tables
The following are the final tables created by the ETL process. Click on the table name to access its description and structure.
The following are the final tables created by the ETL process. Click on the table name to access its description and structure.


Design Team 0 Slides
Eric Bridgeford, Albert Lee, Eric Walker
FNGS pipeline leg overview
Eric Bridgeford
Week's Accomplishments
- ML tutorials on coursera
- EM for GMM
- Multivariate Kalman Filter Implementation
- Saw Black Sabbath \../ Friday
New Data analyzed
- Added high-pass filter to pipeline
- Goal: eliminate scanner drifting, which occurs over time in fMRI studies
- Theory: MR signal is a higher frequency response, so take out the low frequency portions
- Application: filter out all signals with a period greater than 100 seconds
BNU1
BNU2
NKI
Comments
- Pipeline looks awesome; mnrs are consistently very good
More Stuff I worked on
Link to Multivariate Kalman Filter Rmd
Link to Multivariate GMM Overview
Link to Experimental GMM with known Pi Overview
Things to do this week
- finish fMRI variance repo
- use EM for estimating covariance matrices of sources for conditions given our input vec
- studying for GREs
- Enjoy beach
Multivariate Kalman Filter and Smoother
Eric Walker
This week
Link to R Markdown
Javascript Image Analysis
Albert Lee
2D Histogram Equalization
3D Histogram Equalization


In 2008, Paul Manafort partnered with Ukrainian energy tycoon Dmitry Firtash to develop Bulgari Tower, a 65-story Manhattan luxury apartment building, on the site of the Drake Hotel. The project fell through due to the economic recession, however.
Initially, the pair met in the early 2000s when Manafort was a political consultant for Ukraine president Viktor Yanukovych, whom Firtash supported.
Source: Washington Post


{% extends "application/explanation.html" %} {% block nav %} Aboutaddlksflsdfhsadkjfksadjfaklsdjfklsadjfçlasdjk {% endblock %}


Our student housing acquisition team has extensive experience in sourcing student housing assets and conventional assets to reposition them in a university market.
CampusWorks acquisition services include market analysis, a comprehensive analysis identifying the current and future marketability of the asset, replacement cost analysis, capital budgeting, investment analysis projecting the anticipated capital needs with projected return, underwriting and due diligence, property redevelopment and repositioning of the student asset.
CampusWorks acquisitions and redevelopments serve the student population at the following campuses:
Auburn University
University of North Carolina at Charlotte
Clemson University
University of Texas at Austin
North Carolina State University


{% extends "_layouts/base.html" %} {% block content %}
OAuth is a protocol that lets external applications request authorization to your J4LP Auth account securely. That application will then be able to access your Eve-Online data based on what you will authorize.
Nothing much to do here for the moment, why not visiting our other websites ?
{% endblock %}