“Research is formalized curiosity. It is poking and prying with a purpose. ”
ABOUT ME
What I have done
EDUCATION
B.Tech
Indian Institute of Technology-Delhi
2015-2019
High School
Delhi Public School-Bokaro,India
2003-2015
Games
HTML+JS games made by me!
Snakes
Hit the Dot
Tic-Tac
Slider
Websites (online)
Those which I developed !
Uses HTML+Js+Php+jQuery+GoogleMaps Api+Joomla
www.utk.16mb.com
www.bsp.iitd.ac.in/gsec1
www.bsp.iitd.ac.in
(maintained by me)
Experience
Project and Training in my Major::Mechanical Engineering!
Research project
Topic:Effect of intrinsic twist on compressible tubes
Guidance--Dr.Ajeet Kumar
MS+Phd. Cornell University
Associate Professor, IIT-Delhi
October,2016-till present
Vocational Training
Steel Authority of India Limited
Bokaro Steel Plant,Jharkhand,India
2016 summer
Pics of my research interests
CONTACT ME
Contact us and we'll get back to you within 24 hours.
New Delhi, INDIA
+91<PHONE_NUMBER>
arete.utkarsh@gmail.com


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Weighing
See output of the
weighing app
Source Code
Crossbar.io Homepage
0
crates
A2
A0
A3
A1
Gauges
Crates
Status:


| Apache | Jakarta | POI |
POI 2.0 Vision DocumentPrefaceThis is the POI 2.0 cycle vision document. Although the vision has not changed and this document is certainly not out of date and the vision has not changed, the structure of the project has changed a bit. We're not going to change the vision document to reflect this (however proper that may be) because it would only involve deletion. There is no purpose in providing less information provided we give clarification. This document was created before the POI components for Apache Cocoon were accepted into the Cocoon project itself. It was also written before POI was accepted into Jakarta. So while the vision hasn't changed some of the components are actually now part of other projects. We'll still be working on them on the same timeline roughly (minus the overhead of coordination with other groups), but they are no longer technically part of the POI project itself. 1. Introduction1.1 Purpose of this documentThe purpose of this document is to collect, analyze and define high-level requirements, user needs, and features of the second release of the POI project software. The POI project currently consists of the following components: the HSSF Serializer, the HSSF library and the POIFS library.
By the completion of this release cycle the POI project will also include the HSSF Generator and the HWPF library.
1.2 Project OverviewThe first release of the POI project was an astounding success. This release seeks to build on that success by:
2. User Description2.1 User/Market DemographicsThere are a number of enthusiastic users of XML, UNIX and Java technology. Furthermore, the Microsoft solution for outputting Office Document formats often involves actually manipulating the software as an OLE Server. This method provides extremely low performance, extremely high overhead and is only capable of handing one document at a time.
2.2. User environmentThe users of this software shall be developers in a Java environment on any operating system, or power users who are capable of XML document generation/deployment. 2.3. Key User NeedsThe HSSF library currently requires a full object representation to be created before reading values. This results in very high memory utilization. We need to reduce this substantially for reading. It would be preferable to do this for writing, but it may not be possible due to the constraints imposed by the file format itself. Memory utilization during read is our top user complaint. The POIFS library currently requires a full object representation to be created before reading values. This results in very high memory utilization. We need to reduce this substantially for reading. The HSSF library currently ignores formula cells and identifies them as "UnknownRecord" at the lower level of the API. We must provide a way to read and write formulas. This is now the top requested feature. The HSSF library currently does not support charts. This is a key requirement of some users who wish to use HSSF in a reporting engine. The HSSF Serializer currently does not provide serialization for cell styling. User's will want stylish spreadsheets to result from their XML. There is currently no way to generate the XML from an XLS that is consistent with the format used by the HSSF Serializer. There should be a way to read and write the DOC file format using pure Java. 3. Project Overview3.1. Project PerspectiveThe produced code shall be licensed by the Apache License as used by the Cocoon 2 project (APL 1.1) and maintained on at http://poi.sourceforge.net and http://sourcefoge.net/projects/poi. It is our hope to at some point integrate with the various Apache projects (xml.apache.org and jakarta.apache.org), at which point we'd turn the copyright over to them. 3.2. Project Position StatementFor developers on a Java and/or XML environment this project will provide all the tools necessary for outputting XML data in the Microsoft Excel format. This project seeks to make the use of Microsoft Windows based servers unnecessary for file format considerations and to fully document the OLE 2 Compound Document format. The project aims not only to provide the tools for serializing XML to Excel and Word file formats and the tools for writing to those file formats from Java, but also to provide the tools for later projects to convert other OLE 2 Compound Document formats to pure Java APIs. 3.3. Summary of CapabilitiesHSSF Serializer for Apache Cocoon 2
3.4. Assumptions and Dependencies
4. Project FeaturesEnhancements to the POIFS API will include:
Enhancements to the HSSF API will include:
The HSSF Generator will include:
The HWPF API will include:
5. Other Product Requirements5.1. Applicable StandardsAll Java code will be 100% pure Java. 5.2. System RequirementsThe minimum system requirements for the POIFS API are:
The minimum system requirements for the the HSSF API are:
The minimum system requirements for the the HWPF API are:
The minimum system requirements for the HSSF Serializer are:
5.3. Performance RequirementsAll components must perform well enough to be practical for use in a webserver environment (especially the "killer trio": Cocoon2/Tomcat/Apache combo) 5.4. Environmental RequirementsThe software will run primarily in developer environments. We should make some allowances for not-highly-technical users to write XML documents for the HSSF Serializer. All other components will assume intermediate Java 2 knowledge. No XML knowledge will be required except for using the HSSF Serializer. As much documentation as is practical shall be required for all components as XML is relatively new, and the concepts introduced for writing spreadsheets and to POI filesystems will be brand new to Java and many Java developers. 6. Documentation Requirements6.1 POI FilesystemThe filesystem as read and written by POI shall be fully documented and explained so that the average Java developer can understand it. 6.2. POI APIThe POI API will be fully documented through Javadoc. A walkthrough of using the high level POI API shall be provided. No documentation outside of the Javadoc shall be provided for the low-level POI APIs. 6.3. HSSF File FormatThe HSSF File Format as implemented by the HSSF API will be fully documented. No documentation will be provided for features that are not supported by HSSF API that are supported by the Excel 97 File Format. Care will be taken not to infringe on any "legal stuff". Additionally, we are collaborating with the fine folks at OpenOffice.org on *free* documentation of the format. 6.4. HSSF APIThe HSSF API will be documented by javadoc. A walkthrough of using the high level HSSF API shall be provided. No documentation outside of the Javadoc shall be provided for the low level HSSF APIs. 6.5 HWPF APIThe HWPF API will be documented by javadoc. A walkthrough of using the high level HWPF API shall be provided. No documentation outside of the Javadoc shall be provided for the low level HWPF APIs. 6.6 HSSF SerializerThe HSSF Serializer will be documented by javadoc. 6.7 HSSF GeneratorThe HSSF Generator will be documented by javadoc. 6.8 HSSF Serializer Tag languageThe XML tag language along with function and usage shall be fully documented. Examples will be provided as well. 7. Terminology7.1 Filesystemfilesystem shall refer only to the POI formatted archive. 7.2 Filefile shall refer to the embedded data stream within a POI filesystem. This will be the actual embedded document. |


Compute CRU-based monthly or seasonal climatologies using a specific historical window. Use the climatologies to compute delta change from raw climate values.
cru_clim(x, limits = c(1960, 1989)) deltas(x, limits = c(1960, 1989))
| x | a data frame such as returned using the |
|---|---|
| limits | numeric, length-2 vector giving the range of years in the climatological window. |
a data frame.
cru_clim
is used internally by deltas
. It does not need to be used directly in this case.
library(snapclim) library(dplyr) x <- climdata("ar5stats", "Anchorage") %>% filter(Var %in% c("pr", "tas")) cru_clim(x)#> # A tibble: 24 x 3 #> # Groups: Var [?] #> Var Month ClimMean #> <fct> <fct> <dbl> #> 1 pr Jan 19.6 #> 2 pr Feb 19.3 #> 3 pr Mar 16.6 #> 4 pr Apr 16.1 #> 5 pr May 19.0 #> 6 pr Jun 27.3 #> 7 pr Jul 44.6 #> 8 pr Aug 68.3 #> 9 pr Sep 67.2 #> 10 pr Oct 52.6 #> # ... with 14 more rowsdeltas(x)#> # A tibble: 54,480 x 8 #> RCP Model Var Group Location Year Month Mean #> <fct> <fct> <fct> <chr> <chr> <int> <fct> <dbl> #> 1 Historical CRU 4.0 pr Alaska Anchorage 1901 Jan 0.357 #> 2 Historical CRU 4.0 pr Alaska Anchorage 1901 Feb 0.0518 #> 3 Historical CRU 4.0 pr Alaska Anchorage 1901 Mar 0.845 #> 4 Historical CRU 4.0 pr Alaska Anchorage 1901 Apr 0.996 #> 5 Historical CRU 4.0 pr Alaska Anchorage 1901 May 0.683 #> 6 Historical CRU 4.0 pr Alaska Anchorage 1901 Jun 0.880 #> 7 Historical CRU 4.0 pr Alaska Anchorage 1901 Jul 0.896 #> 8 Historical CRU 4.0 pr Alaska Anchorage 1901 Aug 1.02 #> 9 Historical CRU 4.0 pr Alaska Anchorage 1901 Sep 0.864 #> 10 Historical CRU 4.0 pr Alaska Anchorage 1901 Oct 1.31 #> # ... with 54,470 more rows


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This is the simplest example to demonstrate the webphone usage without any error handling or state management.
Don't use this in production as it is not a complete implementation.
See the source of "basic_example.html" from the demo webphone package about how it is done.


{% load static %}
Home page
Welcome to this website
Please gIve us yro're infooz
honestly we will straight up murder you if you do
For the low low fee of 19.99kr/month
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sell your soul
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{% block content %}{% endblock %}


A simple example of using Alpaca with nothing more than a string of text. Alpaca looks at your data and determines
that it is a string. It then looks for a suitable candidate for representing a string and it decides to use the
text
field.
Displays a text field using a display-only view. The text field simply prints out and is not editable, a simple block appears instead. This is a default form control type provided by Bootstrap framework.
Show source code →


Vodafone extends tech partnership with Ryanair
The two companies said on Wednesday they had extended an existing partnership for Vodafone Business to support 300 Ryanair sites and some 153 million passengers across 40 countries.
by ReutersVodafone has secured a seven-year technology partnership with Ryanair to handle services including online booking, passenger boarding and in-flight transactions for the Irish airline in Europe.
The two companies said on Wednesday they had extended an existing partnership for Vodafone Business to support 300 Ryanair sites and some 153 million passengers across 40 countries.
As part of the agreement, the British mobile company will help Europe's biggest budget airline to speed up the time it takes to connect a new airport or site for use. It should also lead to a faster turnaround of planes.
"Airline passengers will demand even more in the coming years, and we will work alongside Ryanair to help them prepare for the future using our full portfolio of products and services," said Vinod Kumar, head of Vodafone Business.
Vodafone Business is the mobile operator's enterprise arm that offers cloud IT services and the connection of unlimited devices on its Internet of Things network for small and multinational companies.
Vodafone Business accounted for 30% of group service revenue in its financial year ending March 31, 2019.


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Submitting Patches
The guiding principal is typically expressed as "one change per patch; one patch per change". That is, the fundamental property of interest is not size, but the number of logically separate changes which are part of the same patch. The correct number is always exactly one.
Multiple related edits like changing a function's prototype, making the corresponding change to its definition, and updating all of the call sites are really a single change, and should be part of the same patch, and thus the same commit.
The same goes for a group of edits spread across the tree that introduce a new feature or fix a bug. If they're part of one logical change, they should be part of one commit. A good rule to use here is to combine things that are syntactically or semantically interdependent, such that applying only part of the change results in a tree that doesn't build or that no longer works correctly.
The flip side is that unrelated things should generally not be part of the same patch. Don't fix a bug and add a feature in the same patch. Or fix two bugs, or add two features. That goes triple for keeping cosmetic/stylistic changes such as a reindent separate from warning elimination, and both separate from actual functional changes. Similarly, any new code should follow the same formatting conventions as the existing code, for indentation, location of braces, etc.
Putting unrelated changes in the same patch makes that patch harder to review, makes it harder to accept one change but not the other (which may result in the whole thing being rejected), and makes it harder to track down what happened if one of those changes introduced a bug. "git bisect" is a powerful tool for tracking down when a problem was introduced, but can't split the difference between two changes that were part of the same commit.
It is often be possible to take a large set of changes to add a complex new feature, and break it down into smaller parts, each building on the last. Such things are often easier to review and test, which is always a good thing.
The patch guide on github has good instructions for submitting changes. If the patch is small, it can be submitted to the list. See the file doc/DIFFS.rst for additional instructions.


|
TouhouFanGame
A RPG Touhou fan game
|
#include <Vector.hpp>
Public Member Functions | |
| Vector2 () | |
| Vector2 (T x, T y) | |
| Vector2 (sf::Vector2< T > v) | |
| template<typename T2 > | |
| operator sf::Vector2< T2 > () | |
| template<typename T2 > | |
| Vector2< T > & | operator+= (const Vector2< T2 > &vec) |
| template<typename T2 > | |
| Vector2< T > | operator+ (const Vector2< T2 > &vec) const |
| template<typename T2 > | |
| Vector2< T > & | operator-= (const Vector2< T2 > &vec) |
| template<typename T2 > | |
| Vector2< T > & | operator*= (T2 d) |
| template<typename T2 > | |
| Vector2< T > | operator* (T2 d) const |
| template<typename T2 > | |
| T | operator* (Vector2< T2 > &b) const |
| template<typename T2 > | |
| Vector2< T > | operator/= (Vector2< T2 > &b) |
| template<typename T2 > | |
| Vector2< T > | operator/ (Vector2< T2 > &b) const |
| template<typename T2 > | |
| Vector2< T > | operator/= (T2 b) |
| template<typename T2 > | |
| Vector2< T > | operator/ (T2 b) const |
| template<typename T2 > | |
| double | distance (const Vector2< T2 > &o) const |
| double | magnitude () const |
| double | angle (const Vector2< T > &o) const |
| Vector2< T > | normalize () |
| Vector2< T > | normalized () const |
| Vector2< T > | projection (const Vector2< T > &point) const |
Public Attributes | |
| T | x |
| T | y |
Definition at line 15 of file Vector.hpp.
|
inline |
Definition at line 21 of file Vector.hpp.
|
inline |
|
inline |
Definition at line 27 of file Vector.hpp.
|
inline |
Definition at line 117 of file Vector.hpp.
|
inline |
Definition at line 107 of file Vector.hpp.
|
inline |
Definition at line 112 of file Vector.hpp.
|
inline |
Definition at line 122 of file Vector.hpp.
|
inline |
Definition at line 131 of file Vector.hpp.
|
inline |
Definition at line 31 of file Vector.hpp.
|
inline |
Definition at line 67 of file Vector.hpp.
|
inline |
Definition at line 73 of file Vector.hpp.
|
inline |
Definition at line 59 of file Vector.hpp.
|
inline |
Definition at line 45 of file Vector.hpp.
|
inline |
Definition at line 37 of file Vector.hpp.
|
inline |
Definition at line 51 of file Vector.hpp.
|
inline |
Definition at line 101 of file Vector.hpp.
|
inline |
Definition at line 87 of file Vector.hpp.
|
inline |
Definition at line 93 of file Vector.hpp.
|
inline |
Definition at line 79 of file Vector.hpp.
|
inline |
Definition at line 138 of file Vector.hpp.
| T TouhouFanGame::Vector2< T >::x |
Definition at line 18 of file Vector.hpp.
| T TouhouFanGame::Vector2< T >::y |
Definition at line 19 of file Vector.hpp.


BREAKING: Mia Yim attacked before TakeOver: WarGames; Replaced in WarGames match
by Kevin C. SullivanIt seems that getting attacked before NXT programming is becoming a thing these days.
The NXT TakeOver: WarGames pre-show opened up tonight with the news that member of Rhea Ripley's WarGames team, Mia Yim, was attacked backstage. Footage was shown of medical personnel checking on Yim, with Ripley in the background - and she didn't look happy.
Shortly afterwards, Yim was loaded into an ambulance to be taken to a local medical facility, which means she's out of the match. Ripley has picked Dakota Kai, who originallly campaigned to get Yim's spot, to replace her. Kai seemed upset about the attack on Yim and even suggested she wasn't prepared for the match.
But, Ripley convinced her to fill in, so we'll see her in the match.
And it looks like that match will actually kick off the show in Chicago tonight. So, we'll see where this all leads. Will we found out who has been performing these attacks?
Of course, you can also follow live coverage of the show right here.
And when the show is over, you should swing by and rate tonight's matches! We'd love to know what you think.


|
Interface Summary |
| Callback |
|
| DeserializationContext |
This interface describes the AXIS DeserializationContext, note that
an AXIS compliant DeserializationContext must extend the org.xml.sax.helpers.DefaultHandler. |
| Deserializer |
This interface describes the AXIS Deserializer. |
| DeserializerFactory |
This interface describes the AXIS DeserializerFactory. |
| SerializationContext |
This interface describes the AXIS SerializationContext. |
| Serializer |
This interface describes the AXIS Serializer. |
| SerializerFactory |
This interface describes the AXIS SerializerFactory. |
| SimpleType |
Marker interface to indicate that a bean is "really" a simple type
(typically with attributes). |
| Target |
A deserializer constructs a value from the xml passed over the wire and
sets a target. |
| TypeMapping |
This interface describes the AXIS TypeMapping. |
| TypeMappingRegistry |
This interface describes the AXIS TypeMappingRegistry. |


- okRequestBuilder - Variable in class com.mapzen.tangram.HttpHandler
-
- onCancel(String) - Method in class com.mapzen.tangram.HttpHandler
-
Cancel an HTTP request
- onCaptured(Bitmap) - Method in interface com.mapzen.tangram.MapController.FrameCaptureCallback
-
Called on the render-thread when a frame was captured.
- onCreate(Bundle) - Method in class com.mapzen.tangram.MapView
-
You must call this method from the parent Activity/Fragment's corresponding method.
- onDestroy() - Method in class com.mapzen.tangram.MapView
-
You must call this method from the parent Activity/Fragment's corresponding method.
- onDoubleTap(float, float) - Method in interface com.mapzen.tangram.TouchInput.DoubleTapResponder
-
Called immediately after the second time a touch is lifted in a double tap gesture
The allowable duration between taps is determined by ViewConfiguration
- onDoubleTap(MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onDoubleTapEvent(MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onDown(MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onDrawFrame(GL10) - Method in class com.mapzen.tangram.MapController
-
- onFeaturePick(Map<String, String>, float, float) - Method in interface com.mapzen.tangram.MapController.FeaturePickListener
-
- onFling(MotionEvent, MotionEvent, float, float) - Method in class com.mapzen.tangram.TouchInput
-
- onFling(float, float, float, float) - Method in interface com.mapzen.tangram.TouchInput.PanResponder
-
Called when a dragged touch point with non-zero velocity is lifted
- onLongPress(float, float) - Method in interface com.mapzen.tangram.TouchInput.LongPressResponder
-
Called immediately after a long press is detected
The duration threshold for a long press is determined by ViewConfiguration
- onLongPress(MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onLowMemory() - Method in class com.mapzen.tangram.MapView
-
You must call this method from the parent Activity/Fragment's corresponding method.
- onMapReady(MapController) - Method in interface com.mapzen.tangram.MapView.OnMapReadyCallback
-
Called when the map is ready to be used
- onPan(float, float, float, float) - Method in interface com.mapzen.tangram.TouchInput.PanResponder
-
Called repeatedly while a touch point is dragged
- onPause() - Method in class com.mapzen.tangram.MapView
-
You must call this method from the parent Activity/Fragment's corresponding method.
- onRequest(String, Callback) - Method in class com.mapzen.tangram.HttpHandler
-
Begin an HTTP request
- onResume() - Method in class com.mapzen.tangram.MapView
-
You must call this method from the parent Activity/Fragment's corresponding method.
- onRotate(RotateGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onRotate(float, float, float) - Method in interface com.mapzen.tangram.TouchInput.RotateResponder
-
Called repeatedly while two touch points are rotated around a point
- onRotateBegin(RotateGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onRotateEnd(RotateGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onScale(ScaleGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onScale(float, float, float, float) - Method in interface com.mapzen.tangram.TouchInput.ScaleResponder
-
Called repeatedly while two touch points are moved closer to or further from each other
- onScaleBegin(ScaleGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onScaleEnd(ScaleGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onScroll(MotionEvent, MotionEvent, float, float) - Method in class com.mapzen.tangram.TouchInput
-
- onShove(ShoveGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onShove(float) - Method in interface com.mapzen.tangram.TouchInput.ShoveResponder
-
Called repeatedly while two touch points are moved together vertically
- onShoveBegin(ShoveGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onShoveEnd(ShoveGestureDetector) - Method in class com.mapzen.tangram.TouchInput
-
- onShowPress(MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onSingleTapConfirmed(MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onSingleTapConfirmed(float, float) - Method in interface com.mapzen.tangram.TouchInput.TapResponder
-
Called after a touch is lifted and determined to not be part of a double tap
The timeout duration for a double tap is determined by ViewConfiguration
- onSingleTapUp(MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onSingleTapUp(float, float) - Method in interface com.mapzen.tangram.TouchInput.TapResponder
-
Called immediately after a touch is lifted in a tap gesture; may be part of a double tap
- onSurfaceChanged(GL10, int, int) - Method in class com.mapzen.tangram.MapController
-
- onSurfaceCreated(GL10, EGLConfig) - Method in class com.mapzen.tangram.MapController
-
- onTouch(View, MotionEvent) - Method in class com.mapzen.tangram.TouchInput
-
- onViewComplete() - Method in interface com.mapzen.tangram.MapController.ViewCompleteListener
-
Called on the render-thread at the end of whenever the view is fully loaded and
no ease- or label-animation is running.
- screenPositionToLngLat(PointF) - Method in class com.mapzen.tangram.MapController
-
Find the geographic coordinates corresponding to the given position on screen
- set(double, double) - Method in class com.mapzen.tangram.LngLat
-
- set(LngLat) - Method in class com.mapzen.tangram.LngLat
-
- setCache(File, long) - Method in class com.mapzen.tangram.HttpHandler
-
Cache map data in a directory with a specified size limit
- setCameraType(MapController.CameraType) - Method in class com.mapzen.tangram.MapController
-
Set the camera type for the map view
- setDebugFlag(MapController.DebugFlag, boolean) - Method in class com.mapzen.tangram.MapController
-
Make a debugging feature active or inactive
- setDoubleTapResponder(TouchInput.DoubleTapResponder) - Method in class com.mapzen.tangram.MapController
-
Set a responder for double-tap gestures
- setDoubleTapResponder(TouchInput.DoubleTapResponder) - Method in class com.mapzen.tangram.TouchInput
-
- setFeaturePickListener(MapController.FeaturePickListener) - Method in class com.mapzen.tangram.MapController
-
Set a listener for feature pick events
- setHttpHandler(HttpHandler) - Method in class com.mapzen.tangram.MapController
-
Set the
HttpHandler
for retrieving remote map resources; a default-constructed
HttpHandler is suitable for most cases, but methods can be extended to modify resource URLs
- setLongPressResponder(TouchInput.LongPressResponder) - Method in class com.mapzen.tangram.MapController
-
Set a responder for long press gestures
- setLongPressResponder(TouchInput.LongPressResponder) - Method in class com.mapzen.tangram.TouchInput
-
- setPanResponder(TouchInput.PanResponder) - Method in class com.mapzen.tangram.MapController
-
Set a responder for pan gestures
- setPanResponder(TouchInput.PanResponder) - Method in class com.mapzen.tangram.TouchInput
-
- setPosition(LngLat) - Method in class com.mapzen.tangram.MapController
-
Set the geographic position of the center of the map view
- setPositionEased(LngLat, int) - Method in class com.mapzen.tangram.MapController
-
Set the geographic position of the center of the map view with default easing
- setPositionEased(LngLat, int, MapController.EaseType) - Method in class com.mapzen.tangram.MapController
-
Set the geographic position of the center of the map view with custom easing
- setRenderMode(int) - Method in class com.mapzen.tangram.MapController
-
Set whether the map view re-draws continuously
Typically this does not need to be called from outside Tangram.
- setRotateResponder(TouchInput.RotateResponder) - Method in class com.mapzen.tangram.MapController
-
Set a responder for rotate gestures
- setRotateResponder(TouchInput.RotateResponder) - Method in class com.mapzen.tangram.TouchInput
-
- setRotation(float) - Method in class com.mapzen.tangram.MapController
-
Set the rotation of the view
- setRotationEased(float, int) - Method in class com.mapzen.tangram.MapController
-
Set the rotation of the view with default easing
- setRotationEased(float, int, MapController.EaseType) - Method in class com.mapzen.tangram.MapController
-
Set the rotation of the view with custom easing
- setScaleResponder(TouchInput.ScaleResponder) - Method in class com.mapzen.tangram.MapController
-
Set a responder for scale gestures
- setScaleResponder(TouchInput.ScaleResponder) - Method in class com.mapzen.tangram.TouchInput
-
- setShoveResponder(TouchInput.ShoveResponder) - Method in class com.mapzen.tangram.MapController
-
Set a responder for shove (vertical two-finger drag) gestures
- setShoveResponder(TouchInput.ShoveResponder) - Method in class com.mapzen.tangram.TouchInput
-
- setSimultaneousDetectionAllowed(TouchInput.Gestures, TouchInput.Gestures, boolean) - Method in class com.mapzen.tangram.TouchInput
-
Set whether the gesture second
can be recognized while first
is in progress
- setSimultaneousGestureAllowed(TouchInput.Gestures, TouchInput.Gestures, boolean) - Method in class com.mapzen.tangram.MapController
-
Set whether the gesture second
can be recognized while first
is in progress
- setTapResponder(TouchInput.TapResponder) - Method in class com.mapzen.tangram.MapController
-
Set a responder for tap gestures
- setTapResponder(TouchInput.TapResponder) - Method in class com.mapzen.tangram.TouchInput
-
- setTilt(float) - Method in class com.mapzen.tangram.MapController
-
Set the tilt angle of the view
- setTiltEased(float, int) - Method in class com.mapzen.tangram.MapController
-
Set the tilt angle of the view with default easing
- setTiltEased(float, int, MapController.EaseType) - Method in class com.mapzen.tangram.MapController
-
Set the tilt angle of the view with custom easing
- setViewCompleteListener(MapController.ViewCompleteListener) - Method in class com.mapzen.tangram.MapController
-
- setZoom(float) - Method in class com.mapzen.tangram.MapController
-
Set the zoom level of the map view
- setZoomEased(float, int) - Method in class com.mapzen.tangram.MapController
-
Set the zoom level of the map view with default easing
- setZoomEased(float, int, MapController.EaseType) - Method in class com.mapzen.tangram.MapController
-
Set the zoom level of the map view with custom easing


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Seminar 13
München/Zoom, 13. July 2021
Nikolai Gad
Different types of democratic innovations:
The digital age and democratic innovations:
Context and issues:
Wrapping up:
Graham Smith's definition:
10 years (and a lot of research) later, a new definition suggested by Elstub and Escobar:
Questions for discussion:
So regardless of the definition we use, democratic innovations are about institutions that allow direct citizen involvement.
With this in mind, do you think...
Taking an ecumenical approach: An analytical framework that can encompass all participatory institutions, ie. "democratic innovations" and democratic theories.
(As well as a general critique of ecumenical approaches)
=> We need a theory of democracy to clearly specify our normative expectations of democratic innovations.
Three key factors of democracy:
=> Need to move beyond the distinction between theoretical (normative) and empirical (descriptive) approaches to democracy, and develop a practical appraoch that can support the...
“Design—the intentional creation of plans to solve a problem – is the key to understanding today’s and creating tomorrow’s democratic governance.” (p. xiv)


I am the proud owner of a Lodge 10” Cast Iron Skillet. I bought it at the Lodge Factory Store in Tennessee for, like, $12 because of a small blemish. I’d heard about making pizza in a cast iron skillet, and tonight, I thought, why not? I largely used this guy’s recipe (minus the part where he made his own dough and sauce. Maybe later.): http://www.macheesmo.com/2011/03/cast-iron-pizza/
One trip to Whole Foods later, and I had some Ingredients!
[caption id=“attachment_51” align=“alignnone” width=“300”] Some ingredients for the pizza. Sauce, pancetta, mozzarella, and dough.[/caption]
I chopped up some mushrooms and spinach to go on top.
The dough was really stretchy and tough to work with…
… but I got it into the pan. Kinda ugly.
I did my best to smooth it out, but it was still really uneven. I was worried this would be an issue. Oh well, sauce and toppings on!
I added the cheese on top of that, then the pancetta on top of the cheese. At this point, I let the oven pre-heat to 450 degrees F while I did other things.
At three minutes to go, I put the skillet on a burner set to high in order to pre-heat the skillet. It started to sizzle a little bit just before the timer went off, but I don’t think it affected anything much.
I popped it into the oven, checked it at 15 minutes, and removed it around 17 or 18 minutes. The pizza slid right out of the pan with just a little encouragement from a spatula.
It was really, really good. The crust baked up really thick, and was a bit chewier than I would perhaps have liked. The pancetta gave it a really nice saltyness, which helped the flavor of the sauce (which, I thought, was a little too bright). I cut it into quarters, and Sabrina and I polished it off.


Mabinogi's campfire is loved by a lot of users because of its unique warmth. In town, in dungeon, wherever the users gathered to chat with each other, campfires were always there. However, if the distance between the campfires are too close to one another, there is a dnager of creating a big fire. Therefore, we need to reject a request to build a new campfire near an already built campfire. Let us create a program that receives requests for building a new campfire plus monitoring the requests.
The location of the campfire is labelled as (x, y) on a coordinate plane. The straight distance between campfires must be at least 5, and we need to reject any campfire requests that may cause the straight distance between campfires to be less than 5.
If the campfire started at time t, it goes off at time t + 300. Turning off the campfire takes priority over a new campfire request. If a campfire was started at time t = 10 at (x, y) = (1, 3), then since it turns off at t = 310, campfire at (x, y) = (2, 4) can begin at t = 310.
First line of input has the number of starting campfire requests, N. N is an integer between 1 and 100,000 inclusive.
In the next N lines, t, the time each request was made will be listed with the location of campfire request (x, y). t is an integer between 1 and 10,000 inclusive and both x and y are integers greater than or equal to -3000 and less than or equal to 3000. Each information will have a space in between the time and the location.
The times for each request will be given in chronological order.
Sometimes requests can come in at the same time, in which case, we will file the requests in the order they were entered.
For all N requests, output one line for each request whether the request was accepeted or not. If a campfire was built normally, print S_OK, otherwise print E_FAILED.
9 0 0 0 0 0 0 2 4 0 4 2 3 7 5 0 12 -3 -4 299 2 3 300 0 0 301 5 2
S_OK E_FAILED E_FAILED E_FAILED S_OK S_OK E_FAILED S_OK E_FAILED
Marks will be awarded according to the number of test cases the program passes.
Load widget


Copyright © 2006-2011 Huiqing Li, Simon Thompson
Version: 0.9.2
Authors: Huiqing Li, Simon Thompson [web site: http://www.cs.kent.ac.uk/projects/wrangler].
| add_a_tag/6 | Add a tag to all the messages received by a server process (Beta). |
| eqc_fsm_to_record/3 | Turn a non-record representation of eqc_fsm state into a record representation. |
| eqc_statem_to_record/3 | Turn a non-record representation of eqc_statem state into a record representation. |
| fold_against_macro/5 | Fold expressions/patterns against a macro definition. |
| fold_expr/1 | Fold expressions against a function definition. |
| fun_extraction/5 | Introduce a new function to represent an expression or expression sequence. |
| fun_to_process/6 | Turn a function into a server process (Beta). |
| gen_fsm_to_record/3 | Turn a non-record representation of gen_fsm state into a record representation. |
| generalise/6 | Generalise a function definition. |
| inline_var/5 | Inline a variable definition. |
| intro_new_var/6 | Introduce a new variable to represent an expression selected. |
| merge_forall/3 | Merge nested but undependent ?FORALLs into one ?FORALL. |
| merge_let/3 | Merge nested but independent ?LETs into one ?LET. |
| move_fun/6 | Move a function definition from its current module to another. |
| new_let/6 | Introduce ?LET. |
| new_macro/6 | Introduce a macro to represent a syntactically well-formed expression/pattern or a sequence of expressions/patterns. |
| normalise_record_expr/6 | Reorder the record fields in a record expression to be consistent with the record definition. |
| partition_exports/4 | Partition the exports of a module. |
| register_pid/6 | Register a process (Beta). |
| rename_fun/6 | Rename a function. |
| rename_mod/4 | Rename a module. |
| rename_process/6 | Rename a registered process (Beta). |
| rename_var/6 | Rename a variable. |
| similar_code_detection/6 | A similar code detector that searches for similar code across multiple Erlang modules. |
| similar_code_detection_in_buffer/6 | A similar code detector that searches for similar code in the current Erlang buffer. |
| similar_expression_search_in_buffer/6 | Search expression search in the current Erlang buffer. |
| similar_expression_search_in_dirs/6 | Simiar expression search across multiple Erlang modules. |
| tuple_funpar/5 | Group a consecutive sequence of parameters of a function into a tuple. |
| unfold_fun_app/4 | Unfold a function application to an instance of the function's body. |
add_a_tag(FileName, Line, Col, Tag, SearchPaths, TabWidth) -> any()
Add a tag to all the messages received by a server process (Beta).
This refactoring should be initiated from the main receive function of a server process. The current implementation is still in an experimental stage, and has a number of limitations:
send ... receive
pattern, to other processes
spawn
or spawn_link
Usage: to apply this refactoring, point the cursor to the function name, then select Add a Tag to Messages from the Refactor menu, Wrangler will then prompt to enter the tag.
eqc_fsm_to_record(FileName, SearchPaths, TabWidth) -> any()
Turn a non-record representation of eqc_fsm state into a record representation.
This refactoring introduce a record to represent the state used by eqc_fsm. This refactoring is especially for QuickCheck users.
Usage: Select the refactoring command, and Wrangler will check the current type of the state machine, and prompt you to input the record and field names if Wrangler is able to proceed the refactoring.
eqc_statem_to_record(FileName, SearchPaths, TabWidth) -> any()
Turn a non-record representation of eqc_statem state into a record representation.
This refactoring introduce a record to represent the state used by eqc_statem. This refactoring is especially for QuickCheck users.
Usage: Select the refactoring command, and Wrangler will check the current type of the state machine, and prompt you to input the record and field names if Wrangler is able to proceed the refactoring.
fold_against_macro(FileName, Line, Col, SearchPaths, TabWidth) -> any()
Fold expressions/patterns against a macro definition.
This refactoring replaces instances of the right-hand side of a macro definition by the corresponding left-hand side with necessary parameter substitutions.
Usage: to apply this refactoring, first point the cursor to the macro definition against which candidate expressions/candidates will be folded; then select Fold Against Macro Definition from the Refactor menu; after that, Wrangler will search the current module for expressions/patterns which are instances of the right-hand side of the selected macro definition; and direct you through the refactoring process.
fold_expr(X1) -> any()
Fold expressions against a function definition.
This refactoring replaces instances of the right-hand side of a function clause definition by the corresponding left-hand side with necessary parameter substitutions. The function clause can be defined in either the current module or another module.
In the case that a candidate expression/expression sequence needs to export some variables which are used by the code following code, that expression/expression sequence will be replaced by a match expression, whose left-hand side it the exported variable(s), and right-hand side is the function application.
This refactoring does not support folding against function clauses with guard expressions, or function clauses with complex formal parameters, such as tuples, lists, or records.
Usage: first point the cursor to the function clause against which expressions will be folded if the function is defined in the current module, or leave the cursor anywhere if you would like to fold against a function clause defined in another module; then select Fold Expression Against Function from the Refactor menu; after that, Wrangler then asks to confirm that you want to fold against the function clause pointed to by the cursor, if you answer 'no', Wrangler will prompt to provide the module name, function name, arity of the function and the index of the function clause (starting from 1). After all these initial interaction, Wrangler will search the current module for expressions which are instances of the right-hand side of the selected function clause.
If no candidate expression has been found, a message will be given, and the refactoring finishes; otherwise, Wrangler will go through the found candidate expressions one by one, and ask the user whether she/he wants to replace the expression with an application of selected function. If the user answers 'yes' to one instance, that instance will be replaced by function application, otherwise it will remain unchanged.
fun_extraction(FileName, Start, End, FunName, TabWidth) -> any()
Introduce a new function to represent an expression or expression sequence.
This refactoring allows the user to introduce a new function to represent a selected expression or expression sequence, and replace the selected code with a call to the new function. Free variables within the selected code become the formal parameters of the function definition.
Usage: highlight the expression/expression sequence of interest, then selected the Function Extraction from Refactor, Wrangler will then prompt for the new function name.
-spec(fun_extraction/5::(filename(), pos(), pos(), string(), integer()) -> {error, string()} | {warning, string()} |{ok, [filename()]}).fun_to_process(FileName, Line, Col, ProcessName, SearchPaths, TabWidth) -> any()
Turn a function into a server process (Beta).
This refactoring turns a function into a server process. Turning a function into a server process provides potential for memorisation of calculated values, adding states to the process, etc.
The following example shows the application of this refactoring to the function f/2
on the
left-hand side, and the result is shown on the right-hand side.
f(add, X, Y) -> X + Y; f(add, X, Y) -> f_rpc(f, {add, X, Y}); f(sub, X, Y) -> X - Y. f(sub, X, Y) -> f_rpc(f, {sub, X, Y}). g(X, Y) -> f() -> f(add, X, Y)*f(sub, X, Y). receive {From, {add, X, Y}} -> From ! {f, X + Y}, f(); {From, {sub, X, Y}} -> From ! {f, X - Y}, f() end. f_rpc(RegName, Request) -> Sender = self(), Fun = fun () -> try register(RegName, self()) of true -> Sender ! {started, self()}, f() catch error:_ -> Sender ! {already_running, self()}, already_running end end, Pid = spawn(Fun), receive {_, Pid} -> ok end, RegName ! {self(), Request}, receive {RegName, Response} -> Response end. g(X, Y) -> f(add, X, Y) *f(sub, X, Y).The following side-conditions apply to this refactoring:
Pid
returned by self()
.
Wrangler generates the new function name and the rpc function name automatically, but the user could always rename it afterwards.
Suppose the original function is f/n
, then the new function name would be f/0
and the rpc
function name would be f_rpc/2
; if any conflicts occur, '_i'
will be attached to the end of the function
name where i
is a smallest number that makes the name fresh.
Usage: To apply this refactoring, point the cursor to the function of interest, then select From Function to Process from Refactor, after that Wrangler will prompt to enter the process registration name in the mini-buffer.
gen_fsm_to_record(FileName, SearchPaths, TabWidth) -> any()
Turn a non-record representation of gen_fsm state into a record representation.
This refactoring introduce a record to represent the state used by eqc_statem.
Usage: Select the refactoring command, and Wrangler will check the current type of the state machine, and prompt you to input the record and field names if Wrangler is able to proceed the refactoring.
generalise(FileName, Start, End, ParName, SearchPaths, TabWidth) -> any()
Generalise a function definition.
Generalise a function definition by selecting a sub-expression of its right-hand side and making this the value of a new argument added to the definition of the function. The sub-expression becomes the actual parameter at the call sites.
Here is an example of generalisation, in which the function add_one
defined
on the left-hand side is generalised on the expression 1
, and the result is
shown on the right-hand side.
-module (test). -module (test). -export([f/1]). -export([f/1]). add_one ([H|T]) -> add_one (N, [H|T]) -> [H+1 | add_one(T)]; [H+N | add_one(N,T)]; add_one ([]) -> []. add_one (N, []) -> []. f(X) -> add_one(X). f(X) -> add_one(1,X)
In the case that the selected expression has a side-effect, the refactorer will wrap this expression
in an function expression before passing it as the actual parameter to the call-sites. This is illustrated
in the following example, in which function repeat/1
is generalised on the expression
io:format("Hello\n")
.
-module (test). -module (test). -export([f/0]). -export([f/0]). repeat(0) -> ok; repeat(A, 0) -> ok; repeat(N) -> repeat(A, N) -> io:format("Hello\n"), A( ), repeat(N-1). repeat(A,N-1). f() -> repeat(5). f( ) -> repeat (fun( )->io:format ("Hello\n") end, 5).
This refactoring only affects the module in which the refactoring is initialised. In the case that the generalised function is exported by the module, an auxiliary function will be created to wrap the generalised function up, so that the module's interface is not changed.
The following side-conditions apply to this refactoring:
foo/n
, then foo/n+1
should not
be in scope before the generalisation;Usage: to apply this refactoring, highlight the expression first, then select Generalise Function Definition from the Refactor menu, after that the refactorer will prompt to enter the parameter name in the mini-buffer.
NOTE: in Erlang some literal expressions can not be replaced by variables. For example, the atomfields
in the expression record_info(fields, Record)
should not be replaced by a variable or other expressions.
This kind of checking is NOT supported by Wrangler yet.
-spec(generalise/6::(FileName::filename(),Start::pos(), End::pos(),ParName::string(),
SearchPaths::[dir()], TabWidth::integer()) ->
{ok, [filename()]}
|{error, string()}
|{multiple_instances, {atom(), atom(), integer(), pos(), syntaxTree(), boolean(),[{pos(), pos()}], string()}}
|{unknown_side_effect, {atom(), atom(),integer(), pos(), syntaxTree(), integer(),
[{pos(), pos()}], [{pos(),pos()}], string()}}
|{more_than_one_clause, {atom(), atom(), integer(), pos(), syntaxTree(), boolean(),
[{pos(), pos()}], [{pos(),pos()}], string()}}).
inline_var(FName, Line, Col, SearchPaths, TabWidth) -> any()
Inline a variable definition.
To unfold a particular use instance of a variable, point the cursor to that instance, and then select Inline Variable from the Refactor menu; to unfold some, or all, use instances of a variable, point the cursor to the define occurrence of the variable, then select Inline Variable from the Refactor menu, Wrangler will search for the use occurrences of the variable selected, and let you choose which instances to unfold. Only variables defined via a match expression of the format: VarName=Expr can be inlined.
-spec (inline_var/5::(filename(), integer(), integer(),[dir()], integer()) -> {error, string()} | {ok, string()} | {ok, [{pos(), pos()}], string()}).intro_new_var(FileName, Start, End, NewVarName, SearchPaths, TabWidth) -> any()
Introduce a new variable to represent an expression selected.
Usage: Highlight the expression of interest, then selected the Introduce New Variable from Refactor, Wrangler will then prompt for the new variable name.
-spec(intro_new_var/6::(filename(), pos(), pos(), string(), [dir()], integer()) -> {error, string()} | {ok, string()}).merge_forall(FileName, SearchPaths, TabWidth) -> any()
Merge nested but undependent ?FORALLs into one ?FORALL.
This refactoring combines multiple nested, but undependent, ?FORALLs into one; the latter representation has better shrinking performance. This refactoring is especially for QuickCheck users.
Usage: Select the refactoring command, and Wrangler will search for candidates to merge automatically, guide you through the candidates found one by one, and ask you to decide whether to merge.
merge_let(FileName, SearchPaths, TabWidth) -> any()
Merge nested but independent ?LETs into one ?LET.
This refactoring combines multiple nested, but undependent, ?LETs into one; the latter representation has better shrinking performance. This refactoring is especially for QuickCheck users.
Usage: Select the refactoring command, and Wrangler will search for candidates to merge automatically, guide you through the candidates found one by one, and ask you to decide whether to merge.
move_fun(FileName, Line, Col, TargetModName, SearchPaths, TabWidth) -> any()
Move a function definition from its current module to another.
This refactoring has a global effect, i.e., it affects all the modules in which the function is imported/used.
This refactoring assumes that an Erlang module name always matches its file name.
Suppose we move function foo/n from its current module M to module N , then the following side-conditions apply to this refactoring:
Usage: to apply this refactoring, point the cursor at the function definition, then select Move Definition to Another Module from the Refactor menu, Wrangler will then prompt to enter the target module name in the mini-buffer.
-spec(move_fun/6::(filename(),integer(),integer(), string(), [dir()], integer()) -> {ok, [filename()]} | {question, string()} |{error, string()}).new_let(FileName, Start, End, PatName, SearchPaths, TabWidth) -> any()
Introduce ?LET.
Bind the values generated by a generator to a variable, so that the values generated by the generator can be referred by other generators. The refactoring helps to introduce dependency between QuickCheck generators. This refactoring is especially for QuickCheck users.
Usage: highlight the expression, which should be a QuickCheck generator, then select the refactoring command, you will be prompted for the pattern variable name.
new_macro(FileName, Start, End, MacroName, SearchPaths, TabWidth) -> any()
Introduce a macro to represent a syntactically well-formed expression/pattern or a sequence of expressions/patterns.
This refactoring allows the user to define a new macro to represent a expression/pattern or sequence of expressions/patterns selected by the user, and replace the selected code with an application of the macro. Free variables within the selected code become the formal parameters of the macro definition.
Usage: Highlight the expression of interest, then selected the Introduce a Macro from Refactor, Wrangler will then prompt for the new macro name.
-spec(new_macro/6::(filename(), pos(), pos(), string(), [dir()], integer()) -> {error, string()} | {ok, string()}).normalise_record_expr(FileName, Line, Col, ShowDefault, SearchPaths, TabWidth) -> any()
Reorder the record fields in a record expression to be consistent with the record definition.
Usage: point cursor to the record expression interested, then select Normalise Record Expression from Refactor.
partition_exports(File, DistThreshold, SearchPaths, TabWidth) -> any()
Partition the exports of a module. -spec(partition_exports/4::(File::filename(), DistTreshold::string(), SearchPaths::[filename()|dir()],TabWidth::integer()) -> {error, string()}|{ok, [filename()]}).
register_pid(FileName, Start, End, RegName, SearchPaths, TabWidth) -> any()
Register a process (Beta).
This refactoring registers a process id, Pid
say, with a name, regname say, and replaces
the uses of Pid ! Msg
with regname ! Msg
whenever it is possible.
The following side-conditions apply to this refactoring:
Usage: First select a match expression whose left-hand side is a process identifier, and right-hand side is a spawn expression, then select Register a Process command from the Refactor menu, after that, Wrangler will prompt for the process name.
rename_fun(FileName, Line, Col, NewName, SearchPaths, TabWidth) -> any()
Rename a function.
When renaming an exported function, this refactoring has a global effect, that is, it affects all those modules in which this function is imported/used.
The following side-conditions (or pre-conditions} apply to this refactoring:
Usage: to apply this refactoring, point the cursor to any occurrence of this function name, then select Rename Function Name from the Refactor menu, after that, Wrangler will prompt to enter the new function name in the mini-buffer.
rename_mod(FileName, NewName, SearchPaths, TabWidth) -> any()
Rename a module.
This refactoring affects all those modules in which the module name is used.
The following side-conditions apply to this refactoring:
Usage: to apply this refactoring, point the cursor anywhere in the module to be renamed, then select Rename Module Name from the Refactor menu, after that, the refactorer will prompt to enter the new module name in the mini-buffer.
rename_process(FileName, Line, Col, NewName, SearchPaths, TabWidth) -> any()
Rename a registered process (Beta).
This refactoring has a global effect, i.e. it needs to check the whole program for places where the original process name is used.
The following side-conditions apply to this refactoring:
Usage: To apply this refactoring, point the cursor to the process name, then select Rename a Process from the Refactor menu, after that, Wrangler will prompt to enter the new process name in the mini-buffer.
rename_var(FileName, Line, Col, NewName, SearchPaths, TabWidth) -> any()
Rename a variable.
This refactoring has a local effect, i.e., it only affects the function clause in which the refactoring is initialized.
The following side-conditions (or pre-conditions) apply to this refactoring:
Usage: to apply this refactoring, point the cursor to any occurrence of this variable, then select Rename Variable Name from Refactor , after that, Wrangler will prompt to enter the new variable name in the mini-buffer.
-spec (rename_var/6::(filename(), integer(), integer(), string(), [dir()], integer()) -> {error, string()}|{ok, filename()}).similar_code_detection(DirFileList, MinLen, MinFreq, SimiScore1, SearchPaths, TabWidth) -> any()
A similar code detector that searches for similar code across multiple Erlang modules.
This function reports similar expression sequences found in the directories specified, but does not remove those clones though. The algorithm is based on the notion of anti-unification, or the least common generalisation. The user needs to provide three parameters to be used by the clone detector, and they are: the minimum length of an expression sequence, the minimum number of duplication times, and a similarity score which should be between 0.1 and 1.0.
Usage: select Detect Similar Code in Dirs from Similar Code Detection, Wrangler will then prompt to input the parameters needed.
similar_code_detection_in_buffer(FileName, MinLen, MinFreq, SimiScore, SearchPaths, TabWidth) -> any()
A similar code detector that searches for similar code in the current Erlang buffer.
This function reports similar expression sequences found in the current Erlang buffer, but does not remove those clones though. The user needs to provide three parameters to be used by the clone detector, and they are: the minimum length of an expression sequence, the minimum number of duplication times, and a similarity score which should be between 0.1 and 1.0.
Usage: select Detect Similar Code in Buffer from Similar Code Detection, Wrangler will then prompt to input the parameters needed.
similar_expression_search_in_buffer(FileName, Start, End, SimiScore, SearchPaths, TabWidth) -> any()
Search expression search in the current Erlang buffer.
This functionality allows searching for expression sequence that are similar to the expression sequence selected. In this context, two expressions, A and B say, are similar if there exists an anti-unifier, say C, of A and B, and C satisfies the similarity score specified by the user (the calculation calculated of similarity score is going to be further explored).
Usage: highlight the expression sequence of interest, then selected Similar Expression Search in Current Buffer from Similar Code Detection .similar_expression_search_in_dirs(FileName, Start, End, SimiScore, SearchPaths, TabWidth) -> any()
Simiar expression search across multiple Erlang modules.
This functionality allows searching for expression sequence that are similar to the expression sequence selected. In this context, two expressions, A and B say, are similar if there exists an anti-unifier, say C, of A and B, and C satisfies the similarity score specified by the user (the calculation calculated of similarity score is going to be further explored).
Usage: highlight the expression sequence of interest, then selected Similar Expression Search in Dirs from Simiar Code Detection.tuple_funpar(FileName, StartLoc, EndLoc, SearchPaths, TabWidth) -> any()
Group a consecutive sequence of parameters of a function into a tuple.
When the function under consideration is exported by the module where it is defined, this refactoring has a global effect.
Suppose the new function after refactoring is f/n
, then the following side-conditions apply:
f/n
should not cause confliction with any of the functions which are in scope in the
current module;f/n
should not be already in scope (either defined or imported) in that module. Usage: to apply this refactoring, highlight the arguments to be grouped into a tuple from the function definition, then select Tuple Function Arguments from Refactor.
unfold_fun_app(FileName, Pos, SearchPaths, TabWidth) -> any()
Unfold a function application to an instance of the function's body.
This refactoring replaces a function application with an instance of the function body. With the current implementation, Wrangler unfolds a function application only if the function is defined in the same module, and Wrangler could work out which function clause to use (in case the function definition contains multiple function clauses).
Usage: Point the cursor to the function name in the function application to unfold, then select Unfold Function Application from Refactor.
Generated by EDoc, Jan 18 2011, 11:56:20.


HODL
Hey shibes! We already passed the 2 million mark. Our community is
growing incredibly fast and there are many people who are completely new
to cryptocurrencies as well as the stock market. So I decided to make
some sort of cryptocurrency 101 for shibes:)
I think everyone should be aware how the crypto works and not only
crypto but the market overall. Always
do your own research
when you want to invest any of your money in whatever.
In a few words, I will try to compactly collect here all the information that I've learned in my 2,5 years of trading and analyzing crypto markets.
Nothing from here is not a financial advice shibes!!! Please DYOR as I said and don't invest money that you aren't ready to lose!
I think we'll start from the essentials. Like the price movement and why
exactly price is moving. Traders buy and sell an asset every second. For
example, you need to buy DOGE. First of all, you need to place an order
to buy. You can choose at what price you want to buy it
(limit order) and also you can buy it immediately at market price
(market order). Let's specify the price at which you want to buy
DOGE, i.e. $0,35. You press the 'Buy' button and your order will be
placed in the orderbook and it will be executed when the price will hit
$0,35.
What's an orderbook? — To understand people's intentions
there exist such a cool tool as an orderbook.
Let's break down what the orderbook consists of.
In the first column
you can see the price at which orders are placed. Second column tells us
how much DOGE people want to buy or sell at this price. And the third
column shows the cumulative amount of orders placed. Cumulative means that
orders at previous levels are summed up at each level. When the amount of
DOGE at the level closest to the price decreases, it means that people
are whether buying or canceling orders, and vice versa with selling.
Simply put, it's called absorbing.
Okay, we finished with the orderbook. Now let's take a look at OHLC
chart.
OHLC is standing for Open, High, Low and Close.
OHLC chart consists of these candles. Each candle have an abstract
timeframe that you chose. For example, in this screenshot I used 4h
timeframe so every candle closes every 4 hours. Each candle has: open
price — the price at which candle was opened; high price shows the
highest price in the particular timeframe; low price wick shows the
lowest price; close price shows at which price candle was closed.
Usually, if the candle body is green then close price is higher than
open price, and if the candle body is red — vice versa.
New candle's open price is equal to previous candle close price.
An important part in price analysis is volume. The volume shows the
total amount of shares traded in particular timeframe. In most cases you
can observe volume that was traded in each candle
(Open-High-Low-Close-Volume chart. OHLCV).
Why it's important? Well, in a nutshell, if any every big move whether
it's a bull run or correction is not backed up by increasing volume then
there is a high probability that the market will go in reverse direction
soon. A huge amount of the volume at the particular candle usually means
that we're breaking some important price level so people are
hyperactive.
 These moves are called "bull run" and "bear market" accordingly. They have different names as well, but for the sake of simplicity, we'll call them like I said. Let's take a look at the recent DOGE price action.
Familiar structure, isn't it? DOGE performed +60% and then dropped -20%. Yes, that's exactly what I was talking about. We see a little bull run and a bit of correction. Why did I said little? Well, usually people say 'bull run cycle has begun' and they mean global and larger timeframes (like months). Because the true bull run usually lasts months or sometimes even years, bear market too.
Pretty interesting part because at this point you'll be able to make some price action predictions. Investors need to know where is the best place to buy so they won't sit HODLing in a swamp. Let's take a look at this support example.
As you can see DOGE price touched this area almost 5 times! Sometimes we fell below tho but shibes defended it anyway and then we gone up! When bears can't break the support more than 3 times then there is a high probability that bears are exhausting and the price will go up on the next touch. Same with resistance. But you can't be 100% sure! So firstly you need to confirm that bulls are here still to defend support area! Price should bounce again.
Thank you for reading! I hope that I helped you at least a bit with
understanding how the market works. Maybe I will update it with new info
soon and try to explain market cap, how to calculate price from it,
technical analysis, etc. These are important parts too.
🚀🚀🚀DOGE TO THE MARS🚀🚀🚀
DO ONLY GOOD EVERYDAY!
much thanks and love 💛💜


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Analog-Digital Converter Words¶
Analog-digital converter (ADC) support is implemented for each of the supported platforms. A given platform may have a number of ADC peripherals. On the RP2040 and STM32F411 there is only a single ADC peripheral, numbered 0 on the RP2040 and, using STMicroelectronics’ numbering, 1 on the STM32F411. On the STM32F407, STM32F746, and STM32L476 there are three ADC peripherals, numbered from 1 through 3.
adc
¶
All Platforms¶
adc@
¶
( channel adc – value )
Read channel on adc. Note that this is a blocking operation, and will also prevent use of adc by any other task until this operation completes.
enable-adc
¶
( adc – )
Enable adc. Note that this is a blocking operation, and will also prevent use of adc by any other task until this operation completes.
disable-adc
¶
( adc – )
Disable adc. Note that this is a blocking operation, and will also prevent use of adc by any other task until this operation completes.
adc-pin
¶
( adc pin – )
Configure pin for use with adc.
default-adc
¶
( – adc )
The default ADC on a platform. On the RP2040 this is 0, on the other supported platforms it is 1.
temp-adc-chan
¶
( – channel )
The ADC channel, on the default ADC, for the microcontroller’s temperature sensor
adc-min
¶
( – Value )
The minimum value returned by adc@
adc-max
¶
( – value )
The maximum value returned by adc@
x-invalid-adc
¶
( – )
The invalid ADC exception.
x-invalid-adc-chan
¶
( – )
The invalid ADC channel exception.
RP2040 only words¶
pin-adc-chan
¶
( pin – channel )
Get the ADC channel for pin.
STM32F407, STM32F411, STM32F746, and STM32L476 only words¶
adc-sampling-time!
¶
( sampling-time channel adc – )
Set sampling-time for channel on adc. Note that this value is rounded up to the next valid sampling time for the microcontroller in question, and on the STM32L476 an additional 0.5 is added to the value. The maximum sampling time for STM32F407, STM32F411, and STM32F746 microcontrollers is 480, and the maximum sampling time for STM32L476 microcontrollers is 640 (before the 0.5 is added). For more information see the microcontroller’s reference manual. Also note that without sufficient sampling time, some channels, such as the temperature sensor, may provide erroneous data.
vrefint-adc-chan
¶
( – channel )
Channel on ADC 1 for the internal reference voltage.
vbat-adc-chan
¶
( – channel )
Channel on ADC 1 for Vbat.
x-out-of-range-sampling-time
¶
( – )
Out of range sampling time exception.
STM32F411, STM32F746, and STM32L476 only words¶
enable-vbat
¶
( – )
Enable the Vbat ADC channel.
disable-vbat
¶
( – )
Disable the Vbat ADC channel.
STM32F411 and STM32F746 only words¶
enable-tsvref
¶
( – )
Enable the temperature sensor and Vrefint ADC channels.
disable-tsvref
¶
( – )
Disable the temperature sensor and Vrefint ADC channels.
STM32L476 only words¶
enable-vsense
¶
( – )
Enable the temperature sensor ADC channel.
disable-vesnse
¶
( – )
Disable the temperature sensor ADC channel.
enable-vrefint
¶
( – )
Enable the Vrefint ADC channel.
disable-vrefint
¶
( – )
Disable the Vrefint ADC channel.


Something something scrum 486, short about the team and what not WORDS WORDS WORDS dsdfdsfsf dsf sdf sdf sdfs df sdf sd f
I love to introduce myself as a hardcore Web Designer.
INFO1
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It is an application which helps store owners manage sales and product inventory records. Please Login to get started.


source file: /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/botocore/vendored/requests/packages/urllib3/util/response.py
file stats: 10 lines, 7 executed: 70.0% covered
1. def is_fp_closed(obj): 2. """ 3. Checks whether a given file-like object is closed. 4. 5. :param obj: 6. The file-like object to check. 7. """ 8. 9. try: 10. # Check via the official file-like-object way. 11. return obj.closed 12. except AttributeError: 13. pass 14. 15. try: 16. # Check if the object is a container for another file-like object that 17. # gets released on exhaustion (e.g. HTTPResponse). 18. return obj.fp is None 19. except AttributeError: 20. pass 21. 22. raise ValueError("Unable to determine whether fp is closed.")


If you're out and want to keep your keys safe, this 100% Ford Lanyard will do just the job. With a strong material and huge claps, it will carry whatever you want.
 With tightening straps its the best Ford Bag to keeping your belongings safe and water damage free.
Enhance your keys with this full leather keyring.


Summary
The main configuration file for the perfstat server and client is perf-conf. It can be updated manually using an editor like vi or via the cli tool perfconfig. We recommend using perfconfig. There are three main sections to the perf-conf configuration file: Global, Server, and Client. The location of the perf-conf file is /perfhome/etc/perf-conf.
Global Settings
PERFHOME - Location of perfstat home directory.
USER - OS user used to run perfstat processes. Note: root is not allowed for security reasons.
GROUP - OS group, not used by application but is useful if you want to give other os users access to perfstat files.
VER - Version number of perfstat application.
DEBUG - Enables or disabled debug logging. Set to 0 for disable or 1 for enable.
Server Settings
SERVER - Configures application to run as server. The client and server piece are tightly coupled.
SERVERIP - IP address of the perfstat server.
SERVERPORT - Port number perfstat server will use.
MAXBYTES - Maximum bytes for an individual connection. Security feature which allows you to limit the amount of data accepted perc connection.
PING_INTERVAL - Interval (minutes) for pinging clients from the perfstat server.
STATUS_INTERVAL - Interval (minutes) for checking status. If a client or service has not reported to the perfstat server within the status interval that client or service will be set to nostatus.
ALERT_INTERVAL - Interval (minutes) for sending alerts. The rate at which the perfstat server checks for and sends alerts.
AUTO_DETECT - Enable or disable auto detection of new hosts. Set to Y for enable or N for disable. If enabled you don't need to add hosts manually into the PerfStat application.
ADMIN_NAME - Name of admin user whom the AUTO_DETECT hosts will be owned by. This field only matters if AUTO_DETECT is enabled. Note: user must be an admin.
EMAIL - Enable or disable email alerts. Set to Y for enable or N for disable. Only applicable if EVENTLOG is enabled.
EMAIL_ALL - Enable or disable all status changes for email notification. Set to Y for enable or N for disable. Note: If enabled an alert will be sent when status changes. Only applicable if EVENTLOG and EMAIL is enabled.
EMAIL_CRIT - Enable or disable crit status changes for email notification. Set to Y for enable or N for disable. Note: If enabled an alert will be sent when status changes to crit. Only applicable if EMAIL is enabled and EMAIL_ALL is disabled.
EMAIL_WARN - Enable or disable warn status changes for email notification. Set to Y for enable or N for disable. Note: If enabled an alert will be sent when status changes to warn. Only applicable if EVENTLOG is enabled, EMAIL is enabled, and EMAIL_ALL is disabled.
EMAIL_NOSTATUS - Enable or disable nostatus changes for email notification. Set to Y for enable or N for disable. Note: If enabled an alert will be sent when status changes to nostatus. Only applicable if EVENTLOG is enabled, EMAIL is enabled, and EMAIL_ALL is disabled.
SMTP_SERVER - IP address of smtp server. Note: must accept relay messages.
EMAIL_FROM - From email address used to send alerts.
EVENTLOG - Enable of disable event logging. Set to Y to enable or N to disable.
LOGSIZE - Maximum size in number of lines of each service event log. All metric events are logged into their respective services event log.
Client Settings
PERFSERVER - IP address of the perfstat server. This is where the client will attemp to send data.
CLIENTPORT - Port the perfstat server is using for communications.
METRICS - List of data collection agents. Each service has it's own agent. You can configure agents to have their own run interval by placing a ":<Num Minuutes> after the agent ie: myagent:10 will run the myagent program every 10 minutes.
HOST_INFO - Enables or disables host information from being gathered and sent to the perfstat server. Set to Y for enable or N for disable.
INFO_INTERVAL - Interval (minutes) to collect host information. Only applicable if HOST_INFO is enabled.
RUN_INTERVAL - Interval (minutes) to run agent programs in METRICS list. Only applicable for agents not using their own run interval.
Note: The OS specific section is where all unique os commands are defined. If you do customization on your own and want to globally set any os specific commands this would be the section to do it.
Note: any changes to the perf-conf file will require a restart of the perfstat application!


{% load staticfiles %}
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Experience social investing with Rang De
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This is my website.
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It's not very exciting, but I like to think it's comfortable. I hope you enjoy your stay.


© 2017 ICEBERG ANALYTICS
▼
Our proprietary model is engineered to capture risks that are unique to the world's largest cryptocurrency.
Part of what makes risk a hazard is its multi-faceted nature. Our comprehensive risk index is a meticulous blend of factors that serves to paint the picture in its multivariate splendour. We know that trading can be a balancing act between complexity and practicality. That's why, we compute the BCRI in realtime, delivering multidimensional insight that's packaged into a single, convenient variable.
Economic theory reasons speculation—the belief in future price appreciation—to be one of the primary drivers of trading activity. Our researchers have designed the Speculation Multiplier as a means to track the balance in aggregate behaviour. A high S indicates an increase in speculative demand whereas a lower values suggests mounting payment demand for Bitcoin.
We’ve developed the centralisation quotient for the express purpose of tracking the risk of de facto centralisation in Bitcoin infrastructure. A C of 0 is indicative of a fully decentralised network. In contrast a high quotient suggests that all infrastructural activity in a rolling 24-hour window was relayed by a single entity.
This is a metric that responds to the network’s collective reluctance towards administering transactions. The primary contributor to this factor is the resistance or cost that counterparties face when trying to make transactions. For example, the hypothetical ‘frictionless market’ would be characterised by a K of zero.
We compute and publish the index in real-time, delivering multi-dimensional insight presented in a single, convenient variable. The indexing methodology is based around a modified inverse-variance weighting scheme of the three factors. It is calibrated at inception such that 100 represents the all-time trailing average.


| BaseMetric |
class BaseMetric : Metric
A base implementation for measuring the fitness of solutions. |
| Case |
data class Case
A case in a data set. |
| CaseLoader |
interface CaseLoader
A component that can load a set of cases from some source. |
| CsvCaseLoader |
class CsvCaseLoader : CaseLoader
A CaseLoader that loads cases from a CSV file. |
| CsvCaseLoaderOptions |
data class CsvCaseLoaderOptions
Options to configure a CsvCaseLoader instance. |
| Feature |
data class Feature
A feature of some case in a data set. |
| FitnessFunctions |
object FitnessFunctions
A collection of standard fitness functions as metrics. |
| Metric |
interface Metric
Provides a way of measuring the fitness of a set of outputs. |
| ParsimonyAwareMetric |
class ParsimonyAwareMetric : Metric
Provides a way of measuring the fitness of a set of outputs with a penalty for parsimony pressure. |
| Cases |
typealias Cases = List<Case>
A set of cases that a program will be trained on. |
| FitnessFunction |
typealias FitnessFunction = (Cases, Outputs) -> Double
A function that will evaluate the performance a program based on how close its outputs were to the cases given. |
| Outputs |
typealias Outputs = List<Double>
A set of outputs given by a program on a set of training cases. |


Creating a New Course
Creating a new course is simple.
To create a new course:
Click the New Course toolbar item.
or
Click the New Course button on the opening screen.
or
Use File > New Course (⌘N)
Enter course information:
Enter a Course Code, Course Title, and Description.
then
Click the Add Course button.


Op-ed argues left-wing 'Squad' member is right and 16-year-olds should be allowed to vote
by Joshua NelsonA Newsweek op-ed backed freshman House Democrat Ayanna Pressley’s push to lower the voting age from 18 to 16.
The op-ed argued 16-year-olds being able to vote would be good for them and American democracy.
The author, Nancy Deutsch, wrote: “The skeptical attitude toward the next generation is especially baffling when we see teens like Greta Thunberg, or the students from Parkland, Florida, consistently demonstrate independent thought, deep understanding, clear convictions, and tremendous maturity and poise in the national and international limelight (even amid jarring criticism and judgment from adults).”
REP. AYANNA PRESSLEY PROPOSES LOWERING VOTING AGE TO 16, CLAIMS MATURITY NOT AN ISSUE
Pressley, D-Mass., proposed lowering the voting age from 18 to 16, a measure that failed in the House with just 126 votes in March. The member of the so-called "Squad" suggested concerns about “maturity” at that age should not be an issue.
Campus Reform’s Cabot Phillips weighed in Tuesday on "Fox & Friends," arguing that the push to lower the voting age is a political ploy to add more voters to the Democratic Party. Phillips asserted that education in college and high school in America is oftentimes biased.
“When you have a large part of Americans that are getting a biased perception of what’s going on in the political process, a lot of these 16 and 17-year-old kids have only heard one side from this point in their lives,” Phillips said.
“They feel that social pressure on social media, from their peers, from teachers. They would likely be voting for Democrats at this point in their life,” Phillips added.
CLICK HERE TO GET THE FOX NEWS APP
Pressley introduced the amendment to the For the People Act—a broad anti-corruption and voting rights bill which would allow Americans as young as 16 to vote in federal elections. The measure was her first proposed amendment in Congress.
Fox News' Brooke Singman contributed to this report.


Ping-Pong
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!
Play!
Unleash the Balls
Made by:
Noah Yasskin
@ Epicodus, 2016
High Scores


Python Handler Helper for Lambda¶
Overview¶
Simplify best practice for Lambda in Python, handling Lambda events and errors with detailed and standarized logs.
Features¶
Dead simple to use, reduces the complexity of writing a Lambda with Python runtime
Guarantees that Source will get a response even if an exception is raised
Sends meaningful errors to Cloudwatch in the case of a failure
Threading enables best runtime performance for events with multiple records
JSON logging that includes request id’s, event id’s and source to assist in tracing logs relevant to a particular event
Installation¶
Install into the root folder of your lambda function
cd my-lambda-function/
pip install phhelper -t .
Example Usage¶
from phhelper import aws_lambda_helper
import json
import time
@aws_lambda_helper.handler
def lambda_handler(event, context):
context.logging.info('info_test')
time.sleep(0.5)
context.logging.error('error_test')
time.sleep(0.5)
context.logging.debug('debug_test')
return {
'statusCode': 200,
'body': json.dumps('Hello from Lambda!')
}
Threading¶
If the event source send multiple records to be processed, you can enable Multithreading processing, by creating a
Environment variable called THREADING_ENABLED
with value TRUE
. This will make a loop into event records, starting a
thread for each record. Your handler will receive each record in a separeted call, inside a thread model.
Logging¶
You can define the general log verbosity level using a Environment variable called LOG_LEVEL
and the boto3 log level
using a Environment variable called BOTO_LOG_LEVEL
.
The valid values for both Environment variables are: * DEBUG * INFO * WARNING * ERROR * CRITICAL
The default values are:
LOG_LEVEL = 'ERROR'
BOTO_LOG_LEVEL` = 'CRITICAL'
Credits¶
Decorator implementation inspired by https://github.com/aws-cloudformation/custom-resource-helper
Log implementation inspired by https://gitlab.com/hadrien/aws_lambda_logging
Multiprocessing implementation inspired by https://medium.com/@urban_institute/using-multiprocessing-to-make-python-code-faster-23ea5ef996ba
License¶
This library is licensed under the MIT License.


The primary goal of this site is for users to be able to find and look at recipes. The difference between this site and a cookbook is the ability for users to search for recipes using ingredients they already have. There will be links on all recipe pages allowing users to share them on their social media, and/or their user profile page. Users will also be able to upload their favorite recipes that they wish to share with other users of our website.


Catch the Bouncing Ball
Click the ball to advance to the next level.
Good Job!
Next level:
1
Replay?


The University of Idaho compiler design course is the most difficult and time consuming CS course at the University of Idaho. The class consists of a single project, divided into 6 sections.
The first section is designing the lexer using flex, a fast version of the classic lexical analyzer lex. This section performes lexical analysis using regular expression in order to seperate the source file into tokens with distinct categories (eg. string, int, name, reserved word).
Next comes the parser. The parser uses bison, a faster version of the classic yacc parser generator. This section converts the tokens generated in section 1 into a context free grammar, and detects any grammatical errors, such as an out of place comma. The output of this section is a syntax tree build from the tokens produced by section 1
Section 3 focuses on semantic analysis: analyzing the meaning of things. This section reads the syntax tree produced by section 2 and uses the information provided to generate symbol tables for each function and hashtable, as well as a global symbol table. These symbol tables store the type and name of all variables declared within that scope.
Section 4 is the final part of semantic analysis. It continues working with the syntax tree produced in section 2. The primary thing done in secrion 4 is the type checking. This checks the entire tree and verifies that anything that has a type has the correct type for the context.
Once semantic analysis is completed, intermediate code generation can begin. This steps converts tree back down into a linked list of three address code objects. Theese three-address code objects consist of an opcode and 3 memory addresses, one of which is a return value.
The final step in the project is the final code generation. This takes the intermediate code generated in section 5 aand conveerts it into proper x86_64 assembly.


|
This is how items are being classified in the codeforamerica github Taxonomy repo.
This tree is populated from the json returned by the Taxonomy API at https://api.taxonomy.sandbox.k8s.brigade.cloud/taxonomy Empty folders are because there is a category in the taxonomy project but we didn't find a good use of it yet. |
These are the items retrieved from the Crawler that have not been classified in the Taxonomy yet.
Here the folders are the tags to categorize, the leafs are the projects from where they came from. The user should drag the folders to the Taxonomy tree. This tree is populated from the json returned by the Taxonomy API at https://api.taxonomy.sandbox.k8s.brigade.cloud/not_assigned_topics2 |
|
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Search |
Search
|
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What next for Mauricio Pochettino following Tottenham exit?
The 47-year-old had been in charge of Spurs for five and a half years.
Mauricio Pochettino is out of work after being sacked by Tottenham on Tuesday evening.
The Argentinian paid the price for poor domestic form in 2019, even though they played in the Champions League final less than six months ago.
Here, the PA news agency takes a look at what might be in store next for Pochettino.
Taking a sabbatical
Bayern Munich
Real Madrid
Manchester United


Please Fill Out The Survey To Add A New Freind
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I enjoy meeting new people
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I'm easily disappointed
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Question Three
I enjoy trying out new activities.
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I am nervous before big events.
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I consider other people’s feelings.
1(Strongly Disagree)
2
3
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5(strongly Agree)
Question Six
I do not get offended easily.
1(Strongly Disagree)
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4
5(strongly Agree)
Question Seven
I am spontaneous.
1(Strongly Disagree)
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Question Eight
In a discussion, facts should be more important then there feelings.
1(Strongly Disagree)
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I like dark humor
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I feel more energetic after spending time with a group of people.
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To add custom statistics to the StatisticsResults
object, call the SetSummaryStatistic
method with the statistic name and value.
SetSummaryStatistic("name", value);
self.SetSummaryStatistic("name", value)
To get the value of a custom statistic, index the Summary
member with the statistic name. The values in the Summary
dictionary are strings, so you may need to cast the value that returns to a different data type.
var value = Statistics.Summary["name"];
value = self.Statistics.Summary["name"]


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zyp: Zhang + Yue-Pilon trends package
The zyp package contains an efficient implementation of Sen's slope method (Sen, 1968) plus implementation of Xuebin Zhang's (Zhang, 1999) and Yue-Pilon's (Yue, 2002) prewhitening approaches to determining trends in climate data.
| Version: |
0.10-1 |
| Depends: |
R (≥ 2.4.0), Kendall |
| Published: |
2013-09-19 |
| Author: |
David Bronaugh, Arelia Werner for the Pacific Climate Impacts Consortium |
| Maintainer: |
David Bronaugh <bronaugh at uvic.ca> |
| License: |
LGPL-2.1 |
| URL: |
http://www.r-project.org |
| NeedsCompilation: |
no |
| Materials: |
ChangeLog |
| CRAN checks: |
zyp results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=zyp
to link to this page.


Python, Java, C++, C, SQL, MySQL, PostgreSQL, HTML, CSS, MATLAB, Verilog, LabVIEW
VSTS, GitHub, GitLab, IntelliJ, Eclipse, Active Directory, Eagle, Fusion 360, Slack, Microsoft Office Suite, Android Studio
Windows 2000-Windows 10, macOS, UNIX, Linux, Windows Server, Ubuntu, CentOS
Wireless Sensor Networking, ARM, AVR, Arduino Uno, Raspberry Pi, FPBA, M68HC11E, 6LoWPAN, PCB Board Design
Graduated Top 10. GPA: 4.64. French Honor Society President. Varsity Tennis Player. Integrity Team and Math Honor Society Member.
Bachelor of Science in Computer Systems Engineering. Overall GPA: 3.62, Major GPA: 3.9. Member of UGA eSports and The Institute for Electrical and Electronics Engineers (IEEE).
Monitored and maintained network infrastructure and technical assets using Windows Server Utilities.
Designed and developed an automated bootloader rig to flash a main application and test all hardware components of a wireless sensor network.
Center for Undergraduate Research Opportunities (CURO) Research Assistantship. Tasked to develop a wireless sensor network that can operate and be maintained within the harsh environment inside a power plant to provide accurate, real-time information.
Senior Design Project sponsored by Equifax to collaborate with a small team to implement a program for software discovery on all technical assets within the company. Design a database and create an application to use various cross-referencing teaching techniques to determine the software titles on a computer.
Computer Systems Engineer
An enthusiastic and meticulous team member with a passion for problem solving. Dedicated and respected young man with the ability to contribute to any collaborative setting. Profound problem solving skills to help provide any company or team with proper coding or design improvements through a devoted and hard-working enthusiasm with the ability to adapt and learn in any new environment.


Welcome to microbe
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To make you, yes you, rich.
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How do we do this?
We collect the information you provide and use it wisely using our state-of-the-art algorithms to invest them in places where the best returns are expected, and return most of the money to you. If it's a profit, the money's yours. If it's a loss, we bear it. You just relax and see yourself getting rich everyday. :-)What about your privacy?
We care about our users' privacy. Which is why, we do not share your information with other sources, unless they are marked trusted, carefully so, by our veteran engineer.Is it safe?
Perfectly. We understand the legal implications of this and believe us, and our lawyers, this is perhaps the most safest and legitimate way to get money.Where do we live?
Unfortunately, due to security reasons and otherwise, we adhere to strict anonymity policy, where we are not supoosed to disclose any information regarding our location, phone numbers, and other things that might be used to uniquely identify us. However, you can mail us at our gmail account and stay updated with your investment. Rest assured, you can trust us.Now, enough of talking, let's get going. Fill out this form.


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