Announcement: NetworkX 2.1¶
We’re happy to announce the release of NetworkX 2.1! NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
For more information, please visit our website and our gallery of examples. Please send comments and questions to the networkx-discuss mailing list.
Highlights¶
This release is the result of four months of work with 75 pull requests by 37 contributors. Highlights include:
- Arrows for drawing DiGraph edges are vastly improved! And an example to show them.
- More than 12 new functions for graph generation, manipulation and/or new graph algorithms.
- Add a large clique size heuristic function (#2830)
- Add rooted product function (#2825)
- Label Propagation Community Detection (#2821)
- Minimum cycle basis (#2823)
- Add Mycielski Operator (#2785)
- Adds prefix_tree, dag_to_branching, and example. (#2784)
- Add inverse_line_graph generator from #2241 (#2782)
- Steiner tree and metric closure. (#2252)
- Add flow based node and edge disjoint paths. (#2063)
- Update geometric networks with new models (#2498)
- Graph edit distance (#2729)
- Added function for finding a k-edge-augmentation (#2572)
- G.name is no longer processed by graph operators. It remains as a property mechanism to access
G.graph['name']
but the user is in charge of updating or changing it for copies, subgraphs, unions and other graph operations.
Improvements¶
- Many bug fixes, documentation changes.
- Speed improvements especially for subgraphs.
- Changed input variable names for functions using
**kwds
to avoid name collisions – especiallyadd_node
- New examples for arrows and spectral embedding of the grid graph.
API Changes¶
[#2498] In
geographical_threshold_graph
, starting in NetworkX 2.1 the parameteralpha
is deprecated and replaced with the customizablep_dist
function parameter, which defaults to r^-2 ifp_dist
is not supplied. To reproduce networks of earlier NetworkX versions, a custom function needs to be defined and passed as thep_dist
parameter. For example, if the parameteralpha
= 2 was used in NetworkX 2.0, the custom function def custom_dist(r): r**-2 can be passed in versions >=2.1 as the parameter p_dist = custom_dist to produce an equivalent network. Note the change in sign from +2 to -2 in this parameter change.[#2554] New algorithms for finding k-edge-connected components and k-edge-connected subgraphs in directed and undirected graphs. Efficient implementations are provided for the special case of k=1 and k=2. The new functionality is provided by:
k_edge_components()
k_edge_subgraphs()
[#2572] New algorithm finding for finding k-edge-augmentations in undirected graphs. Efficient implementations are provided for the special case of k=1 and k=2. New functionality is provided by:
k_edge_augmentation()
[#2812] Removed
bellman_ford
, please usebellman_ford_predecessor_and_distance
.[#2811] Removed
to_pandas_dataframe
andfrom_pandas_dataframe
, please useto_pandas_adjacency
,from_pandas_adjacency
,to_pandas_edgelist
, orfrom_pandas_edgelist
.[#2766] Add seed keyword argument to random_layout and spring_layout
[#2776] Add threshold option to spring layout
[#2774] max_weight_matching returns set of edges
[#2753] Add directed graphs support for jit_graph reading
[#2788] Control node-border color in draw_networkx_nodes
Deprecations¶
- [#2819]
Deprecate
connected_component_subgraphs
,biconnected_component_subgraphs
,attracting_component_subgraphs
,strongly_connected_component_subgraphs
,weakly_connected_component_subgraphs
. Instead use:[G.subgraph(c) for c in *_components]
Contributors to this release¶
- Jack Amadeo
- Boskovits
- Daniel Bradburn
- David Bradway
- Ariel Chinn
- Jon Crall
- Rodrigo Dorantes-Gilardi
- Bradley Ellert
- Adam Erispaha
- Ioannis Filippidis
- ForFer
- Louis Gatin
- Aric Hagberg
- Harry
- Huston Hedinger
- Charles Tapley Hoyt
- James Lamb
- Sanghack Lee
- MD
- Cole MacLean
- Marco
- Jarrod Millman
- Sanggyu Nam
- Viraj Parimi
- Dima Pasechnik
- Richard Penney
- Naresh Peshwe
- Zachary Sailer
- Dan Schult
- Jordi Torrents
- John Wegis
- aparamon
- aweltsch
- gfyoung
- md0000
- mddddd
- talhum
Pull requests merged in this release¶
- Update Release Notes for v2.1 (#2839)
- Update release notes (#2838)
- Update copyright (#2837)
- Add a large clique size heuristic function (#2830)
- Remove automatic processing of G.name attribute (#2829)
- Add rooted product function (#2825)
- Label Propagation Community Detection (#2821)
- change variable names to avoid kwargs clobber (#2824)
- Minimum cycle basis (#2823)
- Deprecate component_subgraphs functions (#2819)
- Temporarily disable sphinx doctests (#2818)
- Adjust docs for graph class edge attrib assignment (#2817)
- Add directed graphs support for jit_graph reading (#2753)
- Arrows as a plot example. (#2801)
- Fix bug in len(edges) for self-loops (#2816)
- MRG: Remove
to_pandas_dataframe
andfrom_pandas_dataframe
(#2811) - Fix Pydot tests so works with new version 1.2.4 (#2815)
- MRG: Remove
bellman_ford
(#2812) - Combine generator modules and tweak docs (#2814)
- Legacy array printing for NumPy 1.14+ (#2810)
- Fix rare structurally forbidden mappings bug. (#2798)
- Digraph Arrows to fix #2757 (#2760)
- use a generic Integral type for parameters check (#2800)
- Control node-border color in draw_networkx_nodes (#2788)
- Add seed keyword argument to random_layout and spring_layout (#2766)
- Add Mycielski Operator (#2785)
- Adds prefix_tree, dag_to_branching, and example. (#2784)
- Add inverse_line_graph generator from #2241 (#2782)
- Add docs for steiner_tree and metric_closure (#2783)
- Steiner tree and metric closure. (#2252)
- Correct docstring for weight parameter (#2781)
- Switch to xcode 7.3 for osx_image in .travis.yml (#2780)
- Change how sparse6 tests filenames (#2779)
- Add flow based node and edge disjoint paths. (#2063)
- Update geometric networks with new models (#2498)
- [WIP] Graph edit distance 2361 (#2729)
- max_weight_matching returns set of edges (#2774)
- Avoid keyword and attribute clash (#2775)
- Add threshold option to spring layout (#2776)
- Fix bug in expected_degree_graph generator (#2773)
- Add support for incomplete partitions in quotient_graph. (#2771)
- Fix SOURCE_DATE_EPOCH ignored bug (#2735) (#2736)
- Makes write_graph6 less memory-intensive. (#2299)
- all_simple_paths should not return cycles. Fix issue #2762 (#2770)
- Fix typo in write_gml and add test (#2769)
- Fix bug and add checks for non-convergent fiedler_vector (#2681)
- Dictionary comprehensions from #1700 merged conflicts (#2768)
- Fix 2763: Typo
furether
in networkx tutorial documentation (#2764) - Fix #2726: ensure add_path to add the first node (#2759)
- a minor correction in docs (#2751)
- Speedups for subgraph and copy methods (#2744)
- fix typo in tutorial (#2746)
- Expand documentation regarding strong connectivity (#2732)
- Correct when we raise NetworkXNotImplemented (#2731)
- removed list conversion from _triangles_and_degree_iter (#2725)
- nx_shp fixes (#2721)
- removed reference to create_using from union docs (#2722)
- Copy graph in transitive closure algorithm. (#2718)
- Fix dag_longest_path bug (#2703)
- Fix for inter_community_edges (#2713)
- Fix shortest_simple_paths. Issue #2427 (#2712)
- Update migration_guide_from_1.x_to_2.0.rst (#2694)
- mention
doc.txt
inrequirements/README.md
(#2699) - docs(centrality/dispersion): updating contributor email address (#2698)
- Fixes bug #2503 by removing arrow labels (#2696)
- Add example of spectral embedding of the grid graph (#2690)
- Fix create_using of nx.from_pandas_adjacency() (#2693)
- Added function for finding a k-edge-augmentation (#2572)
- rm arg
strict
from functionnetworkx.drawing.nx_pydot.to_pydot
(#2672) - Fixed problem parsing graphml with nodes in groups (#2644)
- Remove unused imports (#2653)
- Improve subgraph node iteration (#2687)
- Added Kamada-Kawai functions to Sphinx documentation (#2680)
- unpacked dict to provide kwargs when creating nodes from shapefiles (#2678)
- Fix typo in documentation (#2677)


Here is the official Hooting Yard bird forecast for south-east England. Today's guest forecaster is Dame Vera Lynn.
There'll be bluebirds over the white cliffs of Dover tomorrow.
NOTE : Hooting Yard is not responsible for any inaccuracies in the bird forecasts provided by our guests. And quite frankly, Dame Vera has been trotting out precisely the same forecast at regular intervals for the past seven decades. As far as we are aware, nobody has ever thought to carry out a statistical analysis of the accuracy, or otherwise, of her claims. Nor is her methodology at all clear. Certainly it is grotesque to think that she makes her pronouncements after “reading” the still-throbbing hot entrails of freshly-slaughtered bluebirds, a theory propounded by some irresponsible scalliwags in the Dover-based organisation Cliffwatch. Those people wouldn't know a haruspex if one came up and biffed them in the chops.
Tomorrow's bird forecast will be presented by special guest Dame Vera Lynn.


H.B. Woodrose
Several dosages were tried over several days. Each trial used the below preparation process.
Preparation:
1. Seeds arrive 'Pre-Cleaned and Fuzz Free'
2. Inspect seeds, looking for any remnant fine white fuzz that may have been missed. Most seeds have very small amounts which are scraped off with a small sharp knife.
(It is my guess that the fuzz has something toxic in it and this is why some/most people experience sickness to some degree. With this process no sickness was experienced, however, read on as I now question if these seeds are really Hawaiian Baby Woodrose)
3. Wash and rinse with filtered water (no soap, just scrubbing)
4. Dry seeds with a towel.
5. Crush with mortar and pedestal to make a fine powder.
(I hoped that by increasing the surface area absorption would be quicker and easier. If chewed well and if absorption can occur in the mouth, then this would allow more consistent results as the state of the stomach (empty/full/etc) would be a smaller part of the equation.)
6. Put small amounts in mouth and chew very well before swallowing until total dosage ingested. Then start timer with which to correlate results. This step was altered in some trials as noted below.
NOTE: Validity of the seeds is in question!
Each trial was done on different days
Trial 1:
3 seeds to start, 2 more later
1 hour (after ingestion process ended): slight decrease in mental tracking of concurrent events, however with focus on one event, everything seems normal. Very mundane effect and it may be missed if not specifically looking for something to happen. This may even be a placebo effect.
1.5 hours: Ingest 2 more seeds (same preparation technique)
1.75 hours: some strange chest tightness, not pleasant, but not scary.
7 hours: No more effects. Bedtime.
Trial 2:
8 seeds (which is the highest recommended dosage, according to many sources)
5 minutes after a slow (10 minute) ingestion process (maybe in trial 1 the seeds got to the stomach too quick and mixed with food??): some minor body sensations which once observed would disappear. These are very hard to describe - body just feels different and the effect is very minor.
7 hours: No more effects since those first few.
Trial 3:
5 seeds with a different ingestion technique.
On the possibility that the LSA needs to be in the stomach to be absorbed (and possibly is slow to arrive there or just lines throat when the seed powder is chewed), the seed powder is mixed with water then drank.
4 hours: Relatively no effects were felt, just some of what was seen in trial 2, but to a smaller degree. Somewhat increased desire to dance since body felt slightly odd.
Trial 4:
12 seeds using the original ingestion technique
Effectively no effects. Those effects felt were as minor as in trial 3.
Trial 5:
Chewed 5 seeds instead of crushing with mortar and pedestal, just to see if this would change things; it did not.
Three other people (1 male, 2 female) tried 3 seeds each without noticing any effects.
Conclusion:
Effects over several trials of various dosages and trials by other people were not remotely as expected, taste was not 'terrible' as expected. Though pictures of known HB Woodrose seeds match these samples, it seems these samples were not the seeds that were ordered. **What might the effects be of these unknown seeds?!**
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 God's miracle -- Maria's story. I am deeply touched by Dr. Ming Wang's Christian faith, kindness and generosity.
I am a tenured associate professor of Computer Science at Union University, Jackson, TN, USA. I received my PhD in Computer Science in 2001, my Master's degree in Electrical and Computer Engineering in 1998, both from the University of Florida. I received my Bachelor's degree in Computer Science from Xi'an Jiaotong University , Xi'an, China in 1990.
I teach database, programming language, software engineering, computer repair and maintenance, computer ethics and basics of computers. My research interests are e-learning, database, e-commerce, automated business negotiation and business process management.
I have balanced academic / industrial experiences. I was an assistant professor of Computer Science at Nyack College from 2003 to 2004. I was a post-doctoral researcher at IBM Thomas J. Watson Research Center from 2001 to 2003. I was a graduate student at the University of Florida from 1996 to 2001. I was a software engineer at China Resources Information Technology from 1994 to 1996. I was a software engineer at Geophysical Research Institute from 1990 to 1994.
My office is at PAC (Penick Academic Complex) C-48, Jackson campus of Union University.
My first name is Max. My Chinese name is pronounced as High-Fay Lee. My resume in MS Word Format.
Weekly Schedule, Spring, 2017
| Monday | Tuesday | Wednesday | Thursday | Friday |
|
10am to 11 am Reserved |
11am to 12pm Office Hour |
10am to 11 am Reserved |
11am to 12pm Office Hour |
10am to 11 am Reserved |
| 12pm to 12:50pm Office Hour | CSC-235-1 (Computer Ethics) 12:15PM-1:30PM PAC C-13 | 12pm to 12:50pm Office Hour | CSC-235-1 (Computer Ethics) 12:15PM-1:30PM PAC C-13 | 12pm to 12:50pm Office Hour |
|
CSC-105-1 (Survey of Microcomputing Apps) 1PM-1:50PM PAC C-1 |
CSC-220-1 Computer Repair & Maintenance 1:40 to 2:55 PAC B-20 |
CSC-105-1 (Survey of Microcomputing Apps) 1PM-1:50PM PAC C-1 |
CSC-220-1 Computer Repair & Maintenance 1:40 to 2:55 PAC B-20 |
CSC-105-1 (Survey of Microcomputing Apps) 1PM-1:50PM PAC C-1 |
| CSC-455-1 (Programming Languages) 2pm to 2:50pm PAC C-13 | CSC-455-1 (Programming Languages) 2pm to 2:50pm PAC C-13 | CSC-455-1 (Programming Languages) 2pm to 2:50pm PAC C-13 |
My friend Donnie Dinh has provided the following wonderful link that is quite useful to
our Computer Science majors.
Accredited Online Computer Science Degree Guide


This package provides an API for performing data-flow analysis on a method's bytecode.
This allows the user to determine the type state of the stack and local variable table
at the start of every instruction. In addition this API can be used to validate
bytecode, find dead bytecode, and identify unnecessary checkcasts.
Look at ControlFlow
class first for details.
The users of this package must know the specifications of class file and Java bytecode. For more details, read this book:


Hi {{.User.Name}}
A reset password request is created for your account, please click on the link below to set a new password:
Link: https://goway.herokuapp.com/users/reset-password/{{.Token}}
Please note that the link will be expired after 15 minutes.
Goway


--- layout: page title: About Me description: This is what I do. background: '/img/bg-about.jpg' ---
Hello, I'm Santosh Omprakash and I live in Omaha, Nebraksa. I have around 11 years of experience in Mainframes and work as Application Analyst in Financial servcies industry. I had great opportunity to purse my Master in Data Science. This portfolios has list of project which I worked during my course
Technial abilities and experience:Languages and products: COBOL, Python, R, SQL, CICS, Easytrieve, REXX, SORT, DFSORT, ICETOOL, File Aid, Expeditor, Endeavor, JCL, VSAM, CA View, CA7, FTP, NDM
Database: DB2
Operating system: Windows 95/98, Windows 2000, Windows XP, TSO/ISPF
Tools: TSO / ISPF, IDz, SPUFI, IDCAMS, INFOMAN, QAUDITOR, QARTISAN, FDIO, TMSI, MS OUTLOOK, EXPEDITER, FILE-AID, FTP, MS Project, PowerPoint, Word, MS- Office, One Note, Infopath, Eclipse, Anaconda.
Testing Tools: Intertest
Defect Tracking Tools: CA service desk, Remedy, Rational clear quest, Jira
Methodology: Agile Scrum/Sprints, Waterfall Model
Version Control Tool: Endevor
Please find my attached Resume


Linear Search searches for a value in a list, starting at index 0
, working towards the end of the list.
If the value is not contained in the list, then linear search will examine all items in the list. Linear search can be applied to both sorted and unsorted lists. However, if the list is sorted,
then a faster searching algorithm, called binary search, may be used.
The binary search algorithm is used to find a value in a sorted list. To understand binary search, let us look at the following diagram:
| items less than v | v | items greater than v |
Let us assume that there are 100,000 items in the above list. The middle item,
let us call it v
, is compared to the value that we are looking for. Since the list is sorted, every item to the left of
v
is less than or equal to v
, and the items to the right of v
are greater than or equal to v
. If the value we are looking for is greater than v
, then
we can quickly deduce that it is not to the left of v
, and thus we eliminate
50,000 items of the list after making just one comparison.
For our implementation, we need to understand a few invariants. At all times, our list is divided into three regions.
On the left, we have all the items that are less than v
. On the right, we have all the items that are greater
than or equal to v
. In the middle, we have all the items that are still unknown. We will mark the beginning of the unknown section
with b
, and the end with e
. This will be known as the binary loop invariant:
| b | e |
| items less than v | unknown items | items greater than or equal to v |
In the beginning, we know nothing about all the items in the list. Therefore, the initial state has
b
located at the beginning of the list, and e
located at the end of the list:
| b | e |
| unknown items |
The code for our initial state is:
b = 0 e = len(L) - 1
At the end of this process, the unknown section is empty. Everything to the right is
greater than or equal to v
and everything to the left is less than v
.
Index b
is to the right of index e
. This how our list looks at the end:
| items less than v | e | b | items less than v |
Here is the code for the binary search function:
def binary_search(L, v): """ (list, object) -> int Precondition: L is sorted from smallest to largest, and all the items in L can be compared to v. Return the index of the first occurrence of v in L, or return -1 if v is not in L. >>> binary_search([2, 3, 5, 7], 2) 0 >>> binary_search([2, 3, 5, 5], 5) 2 >>> binary_search([2, 3, 5, 7], 8) -1 """ b = 0 e = len(L) - 1 while b <= e: m = (b + e) // 2 if L[m] < v: b = m + 1 else: e = m - 1 if b == len(L) or L[b] != v: return -1 else: return b
In the above function, the main while
loop continues to loop as long as b
is
less than e
. Once b
is greater than e
, than our search is complete.
Inside the loop, we first set m
to the middle index between index b
and index e
. Inside the while
loop, there is an if
statement. If the item at position m
is less than v
,
then we advance b
to be the index just to the right of m
. However, if the item at index
m
is greater than v
, then we decrease e
so that it is the index to the left of m
.
Finally, at the end of our function, we have one last if
statement. When the while
loop ends, there are two reasons why it might have ended. First, if all the items in the list are less than
v
, then b
will end up being equal to the length of the list, and will refer to an index outside
of the list; we check whether b
is equal to the length of L
, and if it is, then we return
-1
. Finally, we check the item at location b
. After all, it is possible that v
is not contained in the list. If L[b]
is equal to v
, then we return b
. Otherwise
we will return -1
.


--- type: buttons title: Button append and prepend usage: Add text or icons before and after any button. stylesheet: '/scss/elements/btn-prepend.scss' ---


I loved computers since my parents got an Apple II back in the 70′s. I never pursued a career in computers becoming a scientist instead. Fun as it is, I struggled to find time to get tech-geeky. Here, I’ll track of my tech dabblings.


Go Back To Home
University of Indore Devi Ahilya University, Indore
Annual Self-Assessment for the Performance Based Appraisal System (PBAS)
PART A : GENERAL INFORMATION
Name
Father’s Name
Mother’s Name
Department
Current Designation
Grade Pay
Date of last Promotion
Address for correspondence
click here for Permanant address is same as above
Permanent Address
Telephone No
E-mail
Submit


|
LTAPI
API to access LiveTraffic's aircraft information
|
LiveTraffic API. More...
#include <cstring>
#include <memory>
#include <string>
#include <list>
#include <map>
#include <chrono>
#include "XPLMDataAccess.h"
#include "XPLMGraphics.h"
Go to the source code of this file.
Classes | |
| class | LTAPIAircraft |
| Represents one aircraft as controlled by LiveTraffic. More... | |
| struct | LTAPIAircraft::LTAPIBulkData |
| Bulk data transfer structur for communication with LTAPI. More... | |
| struct | LTAPIAircraft::LTAPIBulkData::BulkBitsTy |
| struct | LTAPIAircraft::LTAPIBulkInfoTexts |
| Bulk text transfer structur for communication with LTAPI. More... | |
| struct | LTAPIAircraft::LTLights |
| Structure to return plane's lights status. More... | |
| class | LTAPIConnect |
| Connects to LiveTraffic's dataRefs and returns aircraft information. More... | |
| class | LTDataRef |
| Represents a dataRef and covers late binding. More... | |
Typedefs | |
| typedef std::shared_ptr< LTAPIAircraft > | SPtrLTAPIAircraft |
| Smart pointer to an TLAPIAircraft object. More... | |
| typedef std::map< std::string, SPtrLTAPIAircraft > | MapLTAPIAircraft |
| Map of all aircrafts stored as smart pointers to LTAPIAircraft objects. More... | |
| typedef std::list< SPtrLTAPIAircraft > | ListLTAPIAircraft |
| Simple list of smart pointers to LTAPIAircraft objects. More... | |
Variables | |
| constexpr size_t | LTAPIBulkData_v120 = 80 |
| Size of original bulk structure as per LiveTraffic v1.20. More... | |
| constexpr size_t | LTAPIBulkData_v122 = sizeof(LTAPIAircraft::LTAPIBulkData) |
| Size of current bulk structure. More... | |
| constexpr size_t | LTAPIBulkInfoTexts_v120 = 264 |
| Size of original bulk info structure as per previous versions of LiveTraffic. More... | |
| constexpr size_t | LTAPIBulkInfoTexts_v122 = 288 |
| constexpr size_t | LTAPIBulkInfoTexts_v240 = sizeof(LTAPIAircraft::LTAPIBulkInfoTexts) |
| Size of current bulk info structure. More... | |
LiveTraffic API.
API to access LiveTraffic's aircraft information. Data transfer from LiveTraffic to your plugin is by dataRefs in a fast, efficient way: LiveTraffic copies data of several planes combined into defined structures. LTAPI handles all that in the background and provides you with an array of aircraft information with numerical info like position, heading, speed and textual info like type, registration, call sign, flight number.
| struct LTAPIAircraft::LTAPIBulkData::BulkBitsTy |
| Class Members | ||
|---|---|---|
| bool | bcn: 1 | beacon light |
| bool | camera: 1 | is LiveTraffic's camera on this aircraft? |
| unsigned | filler1: 1 | unused |
| unsigned | filler2: 8 | |
| unsigned | filler3: 32 | |
| bool | land: 1 | landing lights |
| int | multiIdx: 8 | multiplayer index if plane reported via sim/multiplayer/position dataRefs, 0 if not |
| bool | nav: 1 | navigaton lights |
| bool | onGnd: 1 | Is plane on ground? |
| LTFlightPhase | phase: 8 | flight phase, see LTAircraft::FlightPhase |
| bool | strb: 1 | strobe light |
| bool | taxi: 1 | taxi lights |
| typedef std::list<SPtrLTAPIAircraft> ListLTAPIAircraft |
Simple list of smart pointers to LTAPIAircraft objects.
This is used to return aircraft objects which got removed by LiveTraffic, see LTAPIConnect::UpdateAcList()
| typedef std::map<std::string,SPtrLTAPIAircraft> MapLTAPIAircraft |
Map of all aircrafts stored as smart pointers to LTAPIAircraft objects.
This is what LTAPIConnect::UpdateAcList() returns: a map of all aircrafts. They key into the map is the aircraft's key (most often the ICAO transponder hex code).
The value is a smart pointer to an LTAPIAircraft object. As we use smart pointers, object storage is deallocated as soon as objects are removed from the map. Effectively, the map manages storage.
| typedef std::shared_ptr<LTAPIAircraft> SPtrLTAPIAircraft |
Smart pointer to an TLAPIAircraft object.
|
constexpr |
Size of original bulk structure as per LiveTraffic v1.20.
|
constexpr |
Size of current bulk structure.
|
constexpr |
Size of original bulk info structure as per previous versions of LiveTraffic.
|
constexpr |
|
constexpr |
Size of current bulk info structure.


| Modifier and Type | Class and Description |
|---|---|
class |
Answer
The Answer class extends the
Topic class, providing no extra
functionality. |
class |
Question |
class |
Reply
The Reply class extends the
Content class, providing no extra
functionality. |
class |
Topic |
| Modifier and Type | Field and Description |
|---|---|
private Content |
Pending.content |
| Modifier and Type | Method and Description |
|---|---|
Content |
Pending.getContent() |
| Modifier and Type | Method and Description |
|---|---|
void |
Pending.addContent(Content content) |
| Constructor and Description |
|---|
ESSubmission(java.lang.String type,
Content object,
java.lang.String questionId,
java.lang.String answerId)
Args constructor for first creating an ESSubmission from scratch.
|
Pending(java.lang.String qID,
java.lang.String aID,
Content c)
Constructor for brand new, unsubmitted content.
|


{{ instrument.name }}
{{ instrument.category.name }}{{ instrument.description | markdown | striptags | truncate(255) }}
{% extends "base.html" %}
{% block title %}Home{% endblock %}
{% block heading_container %}{% endblock %}{# No heading at the top of this page #}
{% block content %}
{% if current_user.is_authenticated %}
Welcome to the Instrument Catalog! Here you can find quick information about many types of instruments. You can even add your own instruments to this resource if you have an account (create one here if you haven't yet). Once you're logged in, you access your very own "My Instruments" page, showing all of the instruments you've contributed to the catalog!
{{ instrument.description | markdown | striptags | truncate(255) }}


Overflowing
{{title}}
SEE MORE
Complete
{{title}}
SEE MORE
Sanitizer should preserve custom AMP attributes e.g. "layout"
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Aeronatic Eng.
Computer Sc. and Eng.
Electronics and Communication Eng.
Computer Sc. and Information Technology
Electrical Eng.
Electrical and Electronics Eng.
Chemical Eng.
Mechanical Eng.
Chemistry
Mathematics
Physics
Humanities and Social Sciences
Computer Application


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Videos
YouTube
I post videos of me playing games and using unusual controllers
Twitch
Streaming random games and speedrunning live
Platforms
Steam
Where I play the majority of my games
Speedruns
Playing games as fast as possible
Other Games
osu!
Clicking circles
Battle.net
ALEEF02#1624
VALORANT
ALEEF02#NA1
LoL
ALEEF02#NA1


Your Core Construction!
Chhatrapati Shivaji Maharaj, Mirabai, APJ Abul Kalam, Guru Gobind Singh all had one thing in common. As they were growing up, they were told stories about respect for women, valor, courage, love, devotion, etc. It made them do things that made them larger than life
We typically know them as our value system. When we conduct ourselves, in alignment with our value system, we are at ease, thus we can touch our optimal performance levels. On the contrary, when we have to operate in environments that conflict with our value system, we end up feeling suffocated, our energy drains off, and in the worst case, we may experience depression, etc
Thus it is critical to identify our core values and use them to make critical decisions in our life.
Let us go through an activity to identify our core values.
This will allow us to make critical choices, keeping into consideration our core values. Thus we can expect to experience greater joy, success, and happiness
This helps us in taking actions that are aligned with who we are. Thus we end up feeling better, as there are fewer conflicts


Chapter 1 Java Programming, repetition¶
- 1.1. Command Line Basics
- 1.2. Parsing Command Line Parameters In Your Progam
- 1.3. Using Parameters in Eclipse
- 1.4. Common Debugging Methods
- 1.5. Debugging In Eclipse
- 1.6. Reading Input (from Files or Otherwise)
- 1.7. JUnit Testing And You
- 1.8. Writing JUnit Tests
- 1.9. Code Coverage In JUnit
- 1.10. Testing
- 1.11. Testing for Code Coverage
- 1.12. Another Example
- 1.13. Bowling Example
Chapter 2 Pointers/References, repetition¶
Chapter 3 Mathematical Background¶
Chapter 4 Recursion¶
- 4.1. Introduction
- 4.2. Writing a recursive function
- 4.3. Code Completion Practice Exercises
- 4.4. Writing More Sophisticated Recursive Functions
- 4.5. Harder Code Completion Practice Exercises
- 4.6. Writing Practice Exercises
- 4.7. Tracing Recursive Code
- 4.8. Tracing Practice Exercises
- 4.9. Summary Exercises
- 4.10. Dynamic Programming


Author: @alombi
Development Tools
ScreenKit now supports iOS14 natively. Take note that you have to use Quick Look instead of Show Web Page due to Apple's changes in the app.
ScreenKit is a powerful developer tool built for creating nice and Apple-like documentations, welcome screens and update screens.
You don't need any coding knowledge, ScreenKit does all the work for you.
The ScreenKit documentation available at alombi.xyz/screenkit-documentation has been completely designed and built with ScreenKit.
ScreenKit generates an HTML and CSS page and copies the code in your clipboard, so you can easily implement it in your shortcuts (or even webpages).
Quick. ScreenKit is the quickest way to create nice pages to implement everywhere
Simple. You don’t need any coding knowledge and the entire shortcut is built for offer the best UX possible
Powerful. ScreenKit features different styles, automatic dark/light mode switcher and the smooth-scroll script for a better UI/UX
ScreenKit generates wonderful welcome screens, fully compatible with every iOS and iPadOS device.
Two different styles to choose between, Compact and Extended!
Every page generated with ScreenKit is automatically light/dark mode compatible, have a fresh design and it's easy to include.
ScreenKit generates also great documentations, that can be used both in shortcuts and in websites. Documentations are fully compatible with both mobile and desktop, so don't worry it will look good everywhere!
Every page generated with ScreenKit is automatically light/dark mode compatible.
In a documentation created with ScreenKit, you can include images, bold text, lists and everything you can create using HTML properties.
With the 1.2 update, Update Screens have been added to ScreenKit. There are two types of Update Screen, both easy to implement, fresh and user friendly.
This screen lets the developer show the user a wonderful and fresh update prompt, with release notes and download button. All this stuff is generated automatically thanks to the great power of the JavaScript. You only need to enter the RoutineHub ID of your shortcut and ScreenKit will do all the work once again.
The What's New screen is meant for showing once after each update and inform the user about the new stuff introduced with that update. Also here, ScreenKit does all the work using JavaScript while you only have to enter the RoutineHub ID of your Shortcut.
If you need help about how to use this screen, you can check the ScreenKit shortcut itself or contact me.
Take note that Update screens must be implemented in a different way from the other screens. Please check out the Documentation at https://alombi.xyz/screenkit-documentation..
You can check the ScreenKit Documentations for more informations or for check how to implement the code in your shortcuts.
You can always contact me writing a feedback down here or writing e on Twitter or Reddit.
If you'll use a page generated with ScreenKit, please link and credit my shortcut, pasting in your RoutineHub description this code:
elio27 for beta tests, feedbacks and suggestions.
D3W10 for his Swing Updater
ROP for his MediaKit
The RH Discord community for testing and various tips
The Ionic framework team for the ionicons set
All the code contained in ScreenKit has been written by me except the smooth-scroll script which is from Chris Ferdinandi (cferdinandi on GitHub). His code is under the MIT license.
This shortcut is not yet compatible with iOS 14, because some actions are currently broken in the iOS14 Developer Beta 3. The temporary workaround is changing each Show Web Page actions with the Quick Look one, even if this could cause some problems with JavaScript and/or other stuff.