Type the word within 5 seconds
Type the given word within the certain given time. When game over, your score will be reset after you type the next word and play again. Good luck!


Reads a SEER fixed width file using the column dictionary in the provided SAS
file (see seer_read_col_positions()
for more details). Note that the results
are the raw data reported by SEER with no transformations -- all fields are
imported as character strings by default. You can change this by specifying
the col_types
argument using readr column specification via
readr::cols()
, or you can set col_types = NULL
to let readr guess the
column type.
seer_read_fwf(file, col_positions = seer_read_col_positions(), ...,
col_types = readr::cols(.default = readr::col_character()))
Arguments
| file |
Path to SEER fixed width file. |
| col_positions |
SEER column positions, see seer_read_col_positions() . |
| ... |
Arguments passed on to readr::read_fwf
- locale
The locale controls defaults that vary from place to place.
The default locale is US-centric (like R), but you can use
locale() to create your own locale that controls things like
the default time zone, encoding, decimal mark, big mark, and day/month
names.
- na
Character vector of strings to use for missing values. Set this
option to character() to indicate no missing values.
- comment
A string used to identify comments. Any text after the
comment characters will be silently ignored.
- skip
Number of lines to skip before reading data.
- n_max
Maximum number of records to read.
- guess_max
Maximum number of records to use for guessing column types.
- progress
Display a progress bar? By default it will only display
in an interactive session and not while knitting a document. The display
is updated every 50,000 values and will only display if estimated reading
time is 5 seconds or more. The automatic progress bar can be disabled by
setting option readr.show_progress to FALSE .
|
| col_types |
Specification for column types, default is to return all
as character strings. Use NULL to rely on readr or see
readr::read_fwf() for further details. |


--- layout: default permalink: /typography category: utilities category_page: Utilities title: Typography description: "This is the documentation and examples of general typography. We add our configurations to provide different sizes among other options." ---
All HTML headings, <h1> through <h6>, are available.
Use the header size-x to stand out, use these screen headers for larger titles and introductions to your page.
Add titles to your containers easily with our custom classes.
Recommended use to quote blocks of content from another source within your website.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer posuere erat a ante.
Lorem ipsum dolor sit amet, consectetur adipiscing.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.


public class JFlowKey extends JStruct
Uni-directional flow, is generated for packets that should be grouped, or belong to the same flow, where packets are sent from System A to System B, in a single or uni direction. Bi-directional keys are generated for packets that should belong to the same flow, in both directions. Packets that are sent from System A to System B and packets that are sent from System B to System A.
The criteria used for generating flow-keys is different for each packet based on protocol headers present in the packet. As an example, a flow-key for a Ethernet/Ip4/Tcp packet is generated based on source and destination ethernet addresses, source and destination Ip4 address, the Ip4 protocol/type number 16 which signifies that next protocol is TCP and source and destination TCP port numbers. The flow-key generated for this example is bidirectional, meaning that packets belonging to the same TCP conversation in both directions between System A and System B will have the exact same flow-key generated.
JMemory.Type
| ���������� | �ֶκ�˵�� |
|---|---|
static int |
FLAG_REVERSABLE
The Constant FLAG_REVERSABLE.
|
private static int |
FLOW_KEY_PAIR_COUNT
MACRO used in native code.
|
static java.lang.String |
STRUCT_NAME
The Constant STRUCT_NAME.
|
JNETPCAP_LIBRARY_NAME,
MAX_DIRECT_MEMORY_DEFAULT,
POINTER
| ��������˵�� |
|---|
JFlowKey()
Instantiates a new j flow key.
|
JFlowKey(JMemory.Type type)
Instantiates a new j flow key.
|
| ���������� | ������˵�� |
|---|---|
boolean |
equal(JFlowKey key)
Equal.
|
boolean |
equals(java.lang.Object obj)
Equals.
|
int |
getFlags()
Gets the flags.
|
long |
getHeaderMap()
Retrieves bitmap of headers that are part of this key.
|
int |
getId(int index)
Gets the id.
|
int[] |
getIds()
Gets the ids.
|
long |
getPair(int index,
boolean reversePairs)
Gets the pair.
|
int |
getPairCount()
Gets the pair count.
|
int |
getPairP1(int index,
boolean reversePairs)
Gets the pair p1.
|
int |
getPairP2(int index,
boolean reversePairs)
Gets the pair p2.
|
long[] |
getPairs()
Gets the pairs.
|
int |
hashCode()
Hash code.
|
int |
match(JFlowKey key)
Compares the flow keys and returns the direction in which the
match
occured.
|
protected int |
peer(JPacket.State peer)
Peer.
|
static int |
sizeof()
Sizeof.
|
java.lang.String |
toDebugString()
To debug string.
|
getStructName,
toString
availableDirectMemory,
check, cleanup, createReference,
isInitialized,
isJMemoryBasedOwner,
isOwner, maxDirectMemory,
peer,
peer,
peer,
reservedDirectMemory,
setSize, size, softDirectMemory,
toHexdump, toHexdump,
totalActiveAllocated,
totalAllocateCalls,
totalAllocated,
totalAllocatedSegments0To255Bytes,
totalAllocatedSegments256OrAbove,
totalDeAllocateCalls,
totalDeAllocated,
transferFrom,
transferFrom,
transferFrom,
transferFrom,
transferFromDirect,
transferOwnership,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo0
public static final int FLAG_REVERSABLE
private static final int FLOW_KEY_PAIR_COUNT
public static final java.lang.String STRUCT_NAME
public JFlowKey()
public JFlowKey(JMemory.Type type)
type
- the typepublic static int sizeof()
public boolean equal(JFlowKey key)
key
- the keypublic boolean equals(java.lang.Object obj)
equals
������ java.lang.Object
obj
- the objObject.equals(java.lang.Object)
public int getFlags()
public long getHeaderMap()
public int getId(int index)
index
- the indexpublic int[] getIds()
public long getPair(int index, boolean reversePairs)
index
- the indexreversePairs
- the reverse pairspublic long[] getPairs()
public int getPairCount()
public int getPairP1(int index, boolean reversePairs)
index
- the indexreversePairs
- the reverse pairspublic int getPairP2(int index, boolean reversePairs)
index
- the indexreversePairs
- the reverse pairspublic int hashCode()
hashCode
������ java.lang.Object
Object.hashCode()
public int match(JFlowKey key)
key
- key to compare against this keyprotected int peer(JPacket.State peer)
peer
- the peerpublic java.lang.String toDebugString()
toDebugString
������ JMemory
JMemory.toDebugString()


Before Change
self.filter_unigrams = filter_unigrams
self.term_ranker = term_ranker
self.max_terms = max_terms
np.random.seed(seed)
def to_dict(self,
category,
category_name=None,
After Change
class ScatterChart:
def __init__(self,
term_doc_matrix,
minimum_term_frequency=3,
jitter=0,
seed=0,
pmi_threshold_coefficient=3,
max_terms=None,
filter_unigrams=False,
term_ranker=AbsoluteFrequencyRanker,
use_non_text_features=False):
"""
Parameters
----------
term_doc_matrix : TermDocMatrix
The term doc matrix to use for the scatter chart.
minimum_term_frequency : int, optional
Minimum times an ngram has to be seen to be included. Default is 3.
jitter : float, optional
Maximum amount of noise to be added to points, 0.2 is a lot. Default is 0.
seed : float, optional
Random seed. Default 0
pmi_threshold_coefficient : int


UX/UI/Graphic/Logo/Branding
Taliware is a unique opportunity to solve an age old problem, to provide living proof of your whereabouts with bio-authentication. The client provided me with a few mockups for the first MVP, and challenged me to improve upon existing mockups over the next day.
I spent the next day improving the initial mockups by determining UX pain-points and modernizing the UI. I provided the following feedback back to the client.
The key to good UX is subtractive design, by placing each step into its own screen, then find and remove screens where steps can be combined. This is the equivalent of throwing all the puzzle pieces on the table to see how much work you have ahead of you. This is typically done with kanban boards or Post-it notes, but for the brevity of this project, I chose to begin drawing screens immediately and begin designing reusable components while designing the user flow at the same time. This way the screens are already created in Sketch, and allows me to iterate and improve on existing components as I design.
We needed to convey a serious tone with the product, as our users will most likely be working lawyers and government officials. Upon research, we found that orange with the dark background conveyed the seriousness of the product. For the logo, I wanted to relate the “T” of “Taliware” with the Pin Point of the user that appears on the map.
This was the first time I worked with Authentication. Apple keeps the user from modifying the UI during authentication, so I was limited. I focused on making the most important data visible while the authentication dialog was visible.
This was also my first time working with map frameworks. I found Mapbox to be the best tool for maximum design freedom, and had similar pricing as Google. I decided to remain locked in 2D mode to keep costs low for MVP, although I would love to get deeper into 3D map functionality for future design.
Overall, Taliware became a much larger project than both the client and I expected. There was a battle between making all the features beautiful and getting the product to MVP. The client also opted to go without a written design specification to save on costs, I warned against that strategy, however the development team did an outstanding job of converting my designs into code with minimal clarification.
...Check out the Taliware App in the AppStore


This demo shows which events are emitted when a PDF file is rendered.
Note that after-load-complete
is thrown before any
page has been rendered. If you want to set the page number,
you'll need to wait a bit longer.
There's also the event `on-error`. If you're using the minified version of the pdf.js worker thread (which is the default), the parameter of the event is missing. The slow non-minified version reports the precise cause of the error in the parameter.


Medication Order
Medication:
Thyroxine 0.112 MG Oral Tablet [Levoxyl]
Directions:
1 daily
Status:
active
Quantity:
90
Refills:
1
Dosage Detail
Schedule:
Administer Once, every day
Dosage:
1 {tablet}
Validity Period:
Starting on Aug 07, 2008


It's £40 for everyone. Postgraduates, undergraduates, and staff are all welcome. You do not need to be a member of the university to join.
Can I buy tickets for friends?
Yes, make sure you provide their details (not your own) for anything other than payments.
Can I pay by cash?
Unfortunately not, but you can ask a friend to buy one for you.
I'm under 18. Can I come too?
Unfortunately The Jam House does not permit Under 18s on the premises. Please email us if you would
like to discuss this further.
What's the dress code?
Wear something formal! It's not strict black tie. Maybe one day we will have a black tie hackathon.
Is the Jam House wheelchair accessible?
A ramp can be provided for the steps at the entrance, followed by one small step (approx. 5cm) to enter the building. There is also a lift connecting the two levels, with the accessible toilet situated on the ground floor.


Install on RaspberryPi 3¶
Hint
The simplest raspi installation for rpi3 works with astroberry
Installing Python on RPi3¶
To get MW4 installed on RPi3 you will follow the instructions of Robert Lancaste (many thanks to him fore this work!) on https://github.com/rlancaste/AstroPi3 with installing AstroPi3 scripts. The installation procedure I describe is based on Raspbian Buster with desktop. should give you the following result:
In addition you have to take care, that python3.8 is installed. The actual Ubuntu mate 18.04.2 distribution comes with python 3.6, so we need to update this. Please follow the description: Ubuntu. After that you should get an python3.8 or newer available on your system:
If everything went fine, we can proceed to the next step.
Installing PyQt5 on RPi3¶
As on arm the installation of PyQt5 could not be done through pip, the actual tested path is to install Qt directly via apt-get on your RBP3. As result, you cannot install MW4 easily in a virtual environment as apt-get will install all libraries in a system path.
As there were no compiled binaries for actual Qt version available, you have to compile it yourself.
sudo apt-get update
sudo apt-get install python3.8-dev
sudo apt-get install qt5-default
sudo apt-get install sip-dev
cd /usr/src
sudo wget https://www.riverbankcomputing.com/static/Downloads/sip/4.19.19/sip-4.19.19.tar.gz
sudo wget https://www.riverbankcomputing.com/static/Downloads/PyQt5/5.13.2/PyQt5-5.13.2.tar.gz
sudo tar xzf sip-4.19.19.tar.gz
sudo tar xzf PyQt5-5.13.2.tar.gz
cd sip-4.19.19
sudo python3.7 configure.py --sip-module PyQt5.sip
sudo make -j4
sudo make install
cd PyQt5_gpl-5.13.2
sudo python3.7 configure.py
sudo make -j4
sudo make install
There are in different packages to be downloaded and installed. They build on each other, so keep the order of compiling and install. This procedure take about 2 hours or more, depending on the system.
Warning
So far PyQtWebEngine does not build on RPi3! So I removed for the build from 0 .138 on the capabilities, who need the PyQtWebEngine package. This is basically the Keypad. So you will have limited features!
So before you could actually run MW4 you need to install some mor libraries:
sudo apt-get install libgfortran5
sudo apt-get install libjpeg-dev zlib1g-dev
python3.7 -m pip install -U Pillow
Once you are set, make a work directory, cd to this directory and install MW4 by
python3.8 -m pip install mountwizzard4
and run MW4 with the command
python3.8 ~/.local/lib/python3.8/site-packages/mw4/loader.py
If everything went fine, you should see MW4 on RPi3:


| Everyone guesses: | 0 points |
| Nobody guesses: | 0 points |
| Some (not all) guess: | 3 points |
| Everyone guesses: | 2 points |
| Nobody guesses: | 2 points |
| You guess, and someone else doesn't: | 3 points |
| Someone guesses your card: | 1 point / guess |
Code: Teddy Weisman
Card illustrators:
Additional card image sources:
Hover over a particular card to see the creator's name.
View all cards | Make a custom deck
If you'd like to submit a card for the game, email me at tjweisman@gmail.com.


Select Your City
Phoeniz, AZ
Los Angeles, CA
Denver, CO
Miami, FL
Chicago, IL
New York, NY
Portland, OR
Philadelphia, PA
Houston, TX
Seattle, WA
Submit
Search By Symptom
Search
Search By Doctor Last Name
Search
Results


Color Generator
This tool uses a fancy probabalistic model to choose colors, then generates a triangle pattern using those colors! There are three options for model:
- ColourLovers: Based on data from ColourLovers.com. This one usually looks the best!
- Templates: Based on common color templates. This one sometimes looks wierd.
- ColorMind: Based on data from colormind.io. This one is boring sometimes.
There's also a "Wierdness" parameter. This controls how much the colors are allowed to vary.


A brand new data-driven approach to optimize the utilization of power stations and minimize transmission losses.
 As more and more population shifts its focus to the urban area, power consumption is skyrocketing in an acute fashion. To accomodate the needs for energy, saving is generating. And yet, there are many "bad" assignment in the current scheme.


|
invalid username or password
invalid user or password, please reload the page and sign again
|
|
| user | cash | December 12 | December 13 | December 14 | December 15 | December 16 |
|---|---|---|---|---|---|---|
|
|


|
Houzi Game Engine
|
Saves the current formatting of a std::basic_ios object and restores it upon destruction. More...
#include <std_iostream.hpp>
Public Types | |
| using | stream_type = IosType |
| IosType. | |
Public Member Functions | |
| ios_formatting_saver (IosType &ios) | |
| Saves the state of ios. More... | |
| ios_formatting_saver (ios_formatting_saver &&other) | |
| Move constructor. | |
| ~ios_formatting_saver () | |
| Destructor. More... | |
| Public Member Functions inherited from hou::non_copyable | |
| non_copyable () noexcept | |
| default constructor | |
| virtual | ~non_copyable () |
| Destructor. | |
| non_copyable (const non_copyable &)=delete | |
| Deleted copy constructor. | |
| non_copyable (non_copyable &&)=default | |
| Defaulted move constructor. | |
| non_copyable & | operator= (const non_copyable &)=delete |
| Deleted copy assignment operator. | |
| non_copyable & | operator= (non_copyable &&)=default |
| Defaulted move assignment operator. | |
Saves the current formatting of a std::basic_ios object and restores it upon destruction.
The formatting information saved includes the formatting flags, the precision, the width, and the fill character.
| IosType | the stream type. |
|
explicit |
Saves the state of ios.
The ios_formatting_saver will internally store a reference to ios and will restore its formatting upon destruction. It is therefore required to ensure that ios still exists when ios_formatting_saver is destroyed. Calling the destructor of ios_formatting_saver after ios has already been destroyed is undefined behaviour.
| ios | the stream whose state to save. |
| hou::ios_formatting_saver< IosType >::~ios_formatting_saver | ( | ) |
Destructor.
Upon calling the constructor, the formatting of the internally referenced stream will be restored to the state it had when this object was created.


Home
Add a new branch
Location
Minimum Customers/ Hour
Maximum Customers/ Hour
Average number of cookies/ Customer


Extract the downloaded file eclipse-SDK-3.1.1-win32.zip to a folder.This folder will the Eclipse installation folder. There is not extracting files are running setup with Eclipse. I prefer to extract it directly under the root folder.
This isn't absolutely necessary, but I like to have a shortcut on my desktop. Create a shortcut on the desktop by selecting the eclipse.exe file with your mouse and pressing the ALT key and drag the file to your desktop.


readline-password
This is a readline
for passwords. It has a similar interface to the Node.js readline. Node's readline
does not have any functionality to not echo the output of the question()
method to the screen. It also has lots of other functionality such as history and tab completion that is not relevant to entering passwords.
This implementation also provides for optionally echoing the password characters to the screen as *
.
Here is an example of the usage:
import readlinePassword from "@johnls/readline-password"
const rl = readlinePassword.createInstance(process.stdin, process.stdout)
rl.on("SIGINT", () => process.exit(1))
rl.password("Password: \u{1F511} ", (password) => {
console.log(password)
rl.close()
process.stdin.unref() // Do this only when we are all done with input
})
You can also use promises:
import readlinePassword from "@johnls/readline-password"
const rl = readlinePassword.createInstance(process.stdin, process.stdout)
rl.on("SIGINT", () => process.exit(1))
;(async () => {
const password = await rl.passwordAsync("Password: \u{1F511} ")
console.log(password)
rl.close()
process.stdin.unref() // See above
})()
A call to unref()
or something similar is needed to cause the Node.js event loop to exit, and is needed even with the built-in readline
package.
Interface
Construct with a call to createInterface()
or with new Interface()
.
close
Occurs when:
close()
method is calledSIGINT
Occurs when:
close()
Closes the Interface
and relinquishes control over the input
and output
streams.
password(options, callback)
If options
is a string, displays it as the text prompt and begins receiving a password. When the user hits Enter or Return the callback()
function is called. This method follows the standard node convention of (err, value) => ...
where value is the entered password string. err
will always be null
. This allows the call to be wrapped with util.promisify()
.
If options
is an object it can contain:
prompt
. String to display for the promptecho
. Whether to echo a *
everytime an character is enteredThe only editing that is supported is Backspace to delete the last character entered, and Control+V or Command+V to paste a password.
passwordAsync(options)
Like password()
but returns a Promise
.


microcom
A minimalistic terminal program, used to access remote devices via a serial, CAN or telnet connection from the console.
More information: home page
- Open a serial port using the specified baud rate:
microcom --port path/to/serial_port --speed baud_rate
- Establish a telnet connection to the specified host:
microcom --telnet hostname:port


Paper Chip
Apples
Selectable
Paper Chips accept strings
Paper Chips accept objects and associated images
ID: [[item.id]]
Name: [[item.name]]
Color: [[item.color]]
Paper Chips accept callback to formatter chip content
ID: [[item.id]]
Name: [[item.name]]
Color: [[item.color]]


Drop title here
Drop a FlowPanel here
To add a sidebar, drop a ColumnPanel here.
Drop a ColumnPanel here.


{% extends 'portal/base.html' %} {% load static %} {% block title %} Tools {% endblock %} {% block content_header %} JASPAR tools {% endblock %} {% block breadcrumb %}
The JASPAR 2018 comes with a Representational State Transfer (REST) application programming interface (API) to access the JASPAR database programmatically (Khan A. et al. 2017). The RESTful API enables programmatic access to JASPAR by most programming languages and returns data in seven widely used formats including JSON, JSONP, JASPAR, MEME, PFM, TRANSFAC, and YAML. Further, it provides a browsable interface for bioinformatics tool developers. The API is freely accessible at http://jaspar.genereg.net/api/
TFBSTools is an R/Bioconductor package for the analysis and manipulation of transcription factor binding sites and their associated transcription factor profile matrices. TFBStools provides a toolkit for handling TFBS profile matrices, scanning sequences and alignments including whole genomes, and querying the JASPAR database. The functionality of the package can be easily extended to include advanced statistical analysis, data visualisation and data integration.
To retrieve data from JASPAR database, we also provided two Bioconductor data packages JASPAR2014, JASPAR2016.
TFBSTools: http://bioconductor.org/packages/TFBSTools/
JASPAR2014: http://bioconductor.org/packages/JASPAR2014/
JASPAR2016: http://bioconductor.org/packages/JASPAR2016/
The Perl TFBS module provides funtionality for a large number of tasks including scanning sequences and alignments for putative TFBS. It includes a JAPAR inteface module, TFBS::DB::JASPAR6 for retrieving binding site profiles from the JASPAR database. Currently this Perl module is not under active development. All the functionality can be found in TFBSTools Bioconductor package. Users are highly encouraged to switch to TFBSTools.
Biopython now contains a JASPAR specific sub-class of the Biopython Bio.motifs class for the retrieval of profiles from the JASPAR database as well as reading and writing motifs in various flat file formats.
Please also refer to the Biopython API docs as well as the JASPAR section in the Biopython Tutorial and Cookbook for examples on how to use Biopython with JASPAR.
A Ruby gem providing basic funtionality for parsing, searching, and comparing JASPAR motifs.
New in JASPAR 2016, 130 profiles are provided as TFFM models.


Mafia Casino is a video game for mobile devices, android and iOS. Mafia Casino is initially a board game created by Boite de jeux, but the video game (app) was then developed by Beam Me Up Games, in Montreal, Quebec, Canada. I joined the developing team as an intern during winter 2015 until end of spring. I was mainly in charged of assisting the developing team of the game, by creating bonus features that were not implemented in the game yet, fixing bugs (debugging), and refactoring. However, I sucessfully went beyond boundaries (with given permission) and re-implemented main features of the game, such as a new rewarding system. I personally reviewed functions and code, and improved their implementation following good programming practices. By making good code, great code. Mafia Casino allowed me to explore the game industry, and also allowed me to explore production at a bigger scale than school and side projects had allowed me to.
Daniel Beaudin - Project Manager
Below you may find information about its tech stack and APIs used to make this possible. Built With and Technologies Used:


{include file="PublicC/header" /} {include file="PublicC/left" /}
Are you sure you want to delete the user?


reflection
- there was some proper noun I did understand. For example,Tail recursion . “Tail recession is when the recursive call of a method is made as the las executable step of the method. Divide-and-conquer algorithms like this used in merge sort or quick sort have recursive calls before the last step. Thus, statement II us false”
8 k can not start at 1, it is going to throw a error.
10 I mixed the position of x and y. if we use x%y, the remainder should be x not y.
11（b）tree should be binary that each one should only connect to two smaller part.
(e) I misunderstand what question asked. I though it only asked to return one number. However, the question wanted us to return the hole graph .
12(a) I forgot the definition of OOP. So I couldn’t remember the advantages.
(b) I didn’t quite understand what is mean by ethical issues and I thought it is for user.
(e) I didn’t remember the definition of static for variable.
14（a）I changed it many times then I confused myself, so I write public as private
(d)I was confused about “an OOP technique”, I thought it is a special method.
I think I mainly learnt several points from this major. First is I should really may more attention to remember all definitions. I almost fail all of them. Second, every mark worth one point. I shouldn’t think maybe this point worth two marks then only write two points.Last but not least, Should read the question more carefully, make sure I understand it totally, then begin to work.
Discussions


Suppose we have a Prolog source file ex.pl
containing:
% ex.plforeign(f1, p1(+integer,[-integer])). foreign(f2, p2(+integer,[-integer])). foreign_resource(ex, [f1,f2]). :- load_foreign_resource(ex).
and a C source file ex.c
with definitions of the functions
f1
and f2
, both returning long
and having a
long
as the only parameter. The conversion declarations in
ex.pl state that these functions form the foreign resource
ex
.
To create the linked foreign resource, simply type (to the Shell):
% splfr ex.pl ex.c
The linked foreign resource ex.so (file suffix .so
is system dependent) has been created. It will be dynamically linked by
the directive :- load_foreign_resource(ex).
when the file
ex.pl is loaded.
Dynamic linking of foreign resources can also be used by runtime systems. On some platforms, however, the executable must not be stripped for dynamic linking to work, i.e. its symbol table must remain.


{{ define "home" }} {{ template "header" . }}
| /kn | Knative-specific data as defined in the Runtime Contract |
| /req | Request context with environment variables and headers |
| /res | Serving node info (Hostname, OS, Boot-time) and Pod available Memory/CPU resources |
| /log | Content of specific log or log list in dir (e.g. ktest logs) |
| /_health | Responds with 'OK' (ala health check) |


| FYS 187-4 - Games and Computation Readings |
| Class | Month | Day | Topic | Readings (parenthesized reading are optional) |
| 1 | August | 29 | Introduction; Game Definitions; Classifying Combinatorial, Chance, and Strategic Games | Course Information Page, Syllabus, Wikipedia definitions of "game" |
| 2 | 31 | Game Representations for Human and Computer Reasoning | Why Games?, Overview of Three Game Types | |
| 3 | September | 5 | Combinatorial Games: Game trees, states, actions, goals/rewards, state spaces, cyclic/acyclic graphs, puzzles, minimax/negamax | Russell & Norvig 5.1-5.2, Wikipedia article on Minimax (Combinatorial Games section), Bruce Rosen's Minimax algorithm example, animation of Minimax algorithm |
| 4 | 7 | Beyond Minimax: zero-sum games, minimax reasoning with the Centipede game, uncertainty of minimax values, 3-player games | Kingmaker Scenario, Kingmaking, Centipede Game, Russell & Norvig 5.8 | |
| 5 | 12 | Limiting Minimax: Heuristic/Static Evaluation Functions | Evaluation Function, Chess Point Values (skim), Kalah (understand rules), (Further readings - reference link, not reading assignment) | |
| 6 | 14 | Optimizing Minimax: Alpha-Beta Pruning | Russell & Norvig 5.3, Bruce Rosen's worked example, Pieter Abbeel's YouTube demonstration, Move Ordering (skim top) | |
| 7 | 19 | Monte Carlo simulation, random/strategic playouts, n-Armed Bandit problem, exploration-exploitation problem | Multi-armed bandit problem, MCTS Exploration and Exploitation | |
| 8 | 21 | Monte Carlo Tree Search | Browne et al., A Survey of Monte Carlo Tree Search Methods, section 1 through 1.1, section 3. | |
| 9 | 26 | Card Magic, Nim and Binary Numbers | Binary Number System, Nim article pp. 142-144 (emailed) | |
| 10 | 28 | Frogs, Toads, Towers of Hanoi, and Computational Complexity | Big-O Notation Summary (pp. 1-3, up to but not including "Related notations" section); Data Structures and Algorithms, section 1.4; Towers of Hanoi Puzzle | |
| 11 | October | 3 | Games of Chance and Pig, Overview of Java Programming Fundamentals, Monte Carlo Simulation | References (not assigned reading): Think Java: How to Think Like a Computer Scientist, CS 111 Java Summary |
| 12 | 5 | Games of Chance and Pig, Overview of Java Programming Fundamentals (cont.) | ||
| 13 | 12 | Probabilities, Chance "Player", Expectiminimax, Expectimax; Take-home Exam 1 | Axioms of Probability, Russell & Norvig 5.5 | |
| 14 | 17 | The Mathematics and Computation of Optimal Pig Play, Value Iteration | Pig PowerPoint Presentation | |
| 15 | 19 | Reinforcement Learning: Bellman's Optimality Equations | Bellman's Optimality Equations | |
| 16 | 24 | Dynamic Programming with Acyclic Games of Chance: Approach N | ||
| 17 | 26 | Monte Carlo Reinforcement Learning: Exploring Starts | Monte Carlo Control, (Chapter slides) | |
| 18 | 31 | Monte Carlo Reinforcement Learning: UCB1, epsilon-Greedy, Donald Mitchie's MENACE | On-Policy Monte Carlo Control, Implementation of Donald Michie's MENACE, Martin Gardner chapter 8 (matchbox-learning material) - distributed via email | |
| 19 | November | 2 | Solving Abstracted Games: Poker Squares | Poker Squares rules/play grid, Learning and Using Hand Abstraction Values for Parameterized Poker Squares, (slides) |
| 20 | 7 | Neural Networks and Perceptron Learning | Neural Network slides | |
| 21 | 9 | Data Mining and k-Means Clustering | OnMyPhd k-Means Clustering page, k-Means Clustering slides, Iris classification data Weka lab | |
| 22 | 14 | Game Theory Basics, Nash Equilibrium, Pure and Mixed Strategies | GameTheory101.com "The Basics" videos #1-#7 | |
| 23 | 16 | Mixed Strategy Payoffs, Strong/Weak Dominance, Number of Equilibria | GameTheory101.com "The Basics" videos #8-#14 | |
| 24 | 21 | Correlated Equilibria | Wikipedia Correlated Equilibrium introduction and example, (optional: Kevin Leyton-Brown slides 26-34 on Correlated Equilibrium, sections 3.4.5 and 4.6 from Shoham and Layton-Brown, Multiagent Systems, GNU Linear Programming Kit Reference Manual appendices C (CPLEX LP Format) and D (glpsol usage)) | |
| 25 | 28 | Regret, Regret Matching, Extensive Form Games | An Introduction to Counterfactual Regret Minimization, Sections 1 - 2.3, Wikipedia extensive-form game article, (optional: Hart and Mas-Colell. A Simple Adaptive Procedure Leading to Correlated Equilibrium, paper sections 1-2, slides 21-70) | |
| 26 | 30 | Counterfactual Regret Minimization | An Introduction to Counterfactual Regret Minimization, Sections 3 - 3.3, slides, Wikipedia Kuhn Poker article | |
| 27 | December | 5 | Course Evaluations, Interactive Fiction Introduction | A Brief Introduction to Interactive Fiction |
| 28 | 7 | Interactive Fiction Programming | Inform7 Introductory Screencast, Brass Lantern Inform7 Tutorial (updated text), Brandon Felger Wikibooks Inform7 Tutorial (updated text), Reiser's Inform7 Cheat Sheet | |
| Final | 11 | Final Exam 8:30-11:30AM | Final Exam Times |


FormProcessorWrapper
public class FormProcessorWrapper
| Method Summary | |
|---|---|
| static DOMDocument | executeStepProcessor(array domElement) Executes the given StepProcessor. |
| static DOMDocument | executeValidator(array domElement) Executes the given Validator. |
| static DOMDocument | generateInput(array domElement) Converts the given INPUT element to PiwiXML. |
| static DOMDocument | generateSelect(array domElement) Converts the given SELECT element to PiwiXML. |
| static DOMDocument | generateTextArea(array domElement) Converts the given TEXTAREA element to PiwiXML. |
| static DOMDocument | process(string id) Loads the form from the given file and generates the the content as PiwiXML. |
public static DOMDocument executeStepProcessor(array domElement)
Executes the given StepProcessor.
public static DOMDocument executeValidator(array domElement)
Executes the given Validator.
public static DOMDocument generateInput(array domElement)
Converts the given INPUT element to PiwiXML.
public static DOMDocument generateSelect(array domElement)
Converts the given SELECT element to PiwiXML.
public static DOMDocument generateTextArea(array domElement)
Converts the given TEXTAREA element to PiwiXML.
public static DOMDocument process(string id)
Loads the form from the given file and generates the the content as PiwiXML.
Wrappes the FormProcessor to make it accessible as a bean. Used by the XSLT stylesheets which need static function to work /


{% extends "base.html" %} {% block content %}
Please go into this admin page and configure the Google client ID and client secret. For further details see here .


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Since March 2020, we've been spending most of our time in our houses due to the outbreak of the coronavirus disease. After a lot of uncertainty, it was a relief when Samsung Research & Development Institute, Bangalore (SRIB) announced that they would convert our internship to a completely virtual one. Something is better than nothing, right? Here is my entire experience as I recollect it.
The Selection Process
SRIB visits PES University, Ring Road Campus in January and recruits approximately ten students to intern with them over June and July of the same year. Since the number of companies visiting campus for recruitments of summer interns is low and Samsung is undoubtedly well established, this internship is coveted. However, I tackled each first round with similar preparation. I consider myself to be proficient in data structures and algorithms however I had subscribed to the "Daily Coding Problem" to ensure I stay on top of my game. It is a service that deposits an interesting interview question every morning to your inbox. I would take the day and solve the problem during my classes. Apart from this, I did very little as preparation. The first round for most internship placements is a coding round and SRIB was no different. However, we were not given the option of coding in Python. A day before the test, I ensured to solve some problems on CodeChef using C++. There were three coding questions which we were expected to compete in an hour. Basic algorithmic thinking was tested and I would rate these questions as easy. I was given questions which tested my knowledge in topics like searching, binary trees and counting. The results were announced the same day and the interviews were scheduled for the very next day. About 40 other deserving students were shortlisted alongside me. I casually flipped through "Introduction to Algorithms" by CLRS the night before and ensured I got sufficient rest. The next day, we were split into groups of five and had a written coding round as our first round. I was asked to implement Heap Sort in C++. Rather straightforward. Following this written round, we were asked to explain our written code to a person from their recruitments team. If our performance was satisfactory, we would advance to the next round which was a resume and technical round. I was asked about my project at the Indian Institute of Science (IISc), some of the other projects I had listed on my resume, my long term goals and a few big data and data structures questions which were basic. This concluded all the rounds of the interview and the results were announced the same night.
The Internship
The pandemic and subsequent lockdowns hit before we started our internship and it was disheartening. We all looked forward to spending two months working at their office located in Marathahalli, Bangalore to gain the full corporate internship experience. However, we were still grateful that it was converted to a virtual one. We were allowed to choose the area we would like to work in and I picked On-Device Artificial Intelligence amongst others such as Visual Intelligence, Voice Intelligence, IoT, Network Modem etc. This area most closely aligned with my research interests. I was assigned a reporting manager and the entire (virtual) onboarding process was seamless. Within the first week, we were given details about the work we would be completing in the next two months and how it fits into their roadmap. I can confidently say that the work I completed there was put to good use. Moreover, the specific areas in which we conducted research and development were extremely intriguing. There were weekly sync ups with our reporting managers to help us keep on track. At the end of two months, we had a final presentation where we discussed our findings and demonstrated our work. It was a pleasure working with my reporting manager and my team that comprised of two other interns. I learnt plenty in my chosen area and noted the differences in academic and corporate research.
What next?
Placements had begun at my university and SRIB had still not decided if they would go ahead and process our pre-placement offers. They said that an advanced qualification test must be administered on their campus (only) before they can conduct interviews and offer full-time employment. We were offered online mock tests of the same. None of us understood why this test couldn't be conducted online with appropriate proctoring and human resources made no attempts to clarify the same. I had no hopes pinned on them conducting the process virtually and I sat for all the interviews I was offered by the companies that visited campus. After being placed at Commvault in September, they sent us communication that stated their regret in not being able to further process our candidature. That did not surprise me but there was something else that did. Shockingly, in October, they sent an email to our fellow interns from the Indian Institutes of Technology (IITs) saying they would be resuming the full-time employment process for them! No such treatment was extended to the interns from the "third-tier" universities. How difficult would it have been to conduct a few more online assessments? Unfortunate to see that SRIB, like a lot of other big names in this industry, run after a brand name instead of real quality. I am positive SRIB lost out on a lot of fine interns who would have added immense value to their teams. However, my overall experience at SRIB was positive and constructive.


| Writing an LLVM Pass |
Written by Chris Lattner
| Introduction - What is a pass? |
All LLVM passes are subclasses of the Pass class, which implement functionality by overriding virtual methods inherited from Pass. Depending on how your pass works, you may be able to inherit from the FunctionPass or BasicBlockPass, which gives the system more information about what your pass does, and how it can be combined with other passes. One of the main features of the LLVM Pass Framework is that it schedules passes to run in an efficient way based on the constraints that your pass has.
We start by showing you how to construct a pass, everything from setting up the code, to compiling, loading, and executing it. After the basics are down, more advanced features are discussed.
| Quick Start - Writing hello world |
| Setting up the build environment |
# Makefile for hello pass # Path to top level of LLVM heirarchy LEVEL = ../../.. # Name of the library to build LIBRARYNAME = hello # Build a dynamically loadable shared object SHARED_LIBRARY = 1 # Include the makefile implementation stuff include $(LEVEL)/Makefile.common
This makefile specifies that all of the .cpp files in the current directory are to be compiled and linked together into a lib/Debug/libhello.so shared object that can be dynamically loaded by the opt or analyze tools.
Now that we have the build scripts set up, we just need to write the code for the pass itself.
| Basic code required |
#include "llvm/Pass.h" #include "llvm/Function.h"Which are needed because we are writing a Pass, and we are operating on Function's.
Next we have:
namespace {
... which starts out an anonymous namespace. Anonymous namespaces are to C++ what the "static" keyword is to C (at global scope). It makes the things declared inside of the anonymous namespace only visible to the current file. If you're not familiar with them, consult a decent C++ book for more information.
Next, we declare our pass itself:
struct Hello : public FunctionPass {
This declares a "Hello" class that is a subclass of FunctionPass. The different builtin pass subclasses are described in detail later, but for now, know that FunctionPass's operate a function at a time.
virtual bool runOnFunction(Function &F) { std::cerr << "Hello: " << F.getName() << "\n"; return false; } }; // end of struct HelloWe declare a "runOnFunction" method, which overloads an abstract virtual method inherited from FunctionPass. This is where we are supposed to do our thing, so we just print out our message with the name of each function.
RegisterOpt<Hello> X("hello", "Hello World Pass"); } // end of anonymous namespace
Lastly, we register our class Hello, giving it a command line argument "hello", and a name "Hello World Pass". There are several different ways of registering your pass, depending on what it is to be used for. For "optimizations" we use the RegisterOpt template.
As a whole, the .cpp file looks like:
#include "llvm/Pass.h" #include "llvm/Function.h" namespace { struct Hello : public FunctionPass { virtual bool runOnFunction(Function &F) { std::cerr << "Hello: " << F.getName() << "\n"; return false; } }; RegisterOpt<Hello> X("hello", "Hello World Pass"); }
Now that it's all together, compile the file with a simple "gmake" command in the local directory and you should get a new "lib/Debug/libhello.so file. Note that everything in this file is contained in an anonymous namespace: this reflects the fact that passes are self contained units that do not need external interfaces (although they can have them) to be useful.
| Running a pass with opt or analyze |
To test it, follow the example at the end of the Getting Started Guide to compile "Hello World" to LLVM. We can now run the bytecode file (hello.bc) for the program through our transformation like this (or course, any bytecode file will work):
$ opt -load ../../../lib/Debug/libhello.so -hello < hello.bc > /dev/null Hello: __main Hello: puts Hello: main
The '-load' option specifies that 'opt' should load your pass as a shared object, which makes '-hello' a valid command line argument (which is one reason you need to register your pass). Because the hello pass does not modify the program in any interesting way, we just throw away the result of opt (sending it to /dev/null).
To see what happened to the other string you registered, try running opt with the --help option:
$ opt -load ../../../lib/Debug/libhello.so --help OVERVIEW: llvm .bc -> .bc modular optimizer USAGE: opt [options] <input bytecode> OPTIONS: Optimizations available: ... -funcresolve - Resolve Functions -gcse - Global Common Subexpression Elimination -globaldce - Dead Global Elimination -hello - Hello World Pass -indvars - Canonicalize Induction Variables -inline - Function Integration/Inlining -instcombine - Combine redundant instructions ...
The pass name get added as the information string for your pass, giving some documentation to users of opt. Now that you have a working pass, you would go ahead and make it do the cool transformations you want. Once you get it all working and tested, it may become useful to find out how fast your pass is. The PassManager provides a nice command line option (--time-passes) that allows you to get information about the execution time of your pass along with the other passes you queue up. For example:
$ opt -load ../../../lib/Debug/libhello.so -hello -time-passes < hello.bc > /dev/null Hello: __main Hello: puts Hello: main =============================================================================== ... Pass execution timing report ... =============================================================================== Total Execution Time: 0.02 seconds (0.0479059 wall clock) ---User Time--- --System Time-- --User+System-- ---Wall Time--- --- Pass Name --- 0.0100 (100.0%) 0.0000 ( 0.0%) 0.0100 ( 50.0%) 0.0402 ( 84.0%) Bytecode Writer 0.0000 ( 0.0%) 0.0100 (100.0%) 0.0100 ( 50.0%) 0.0031 ( 6.4%) Dominator Set Construction 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0013 ( 2.7%) Module Verifier 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0033 ( 6.9%) Hello World Pass 0.0100 (100.0%) 0.0100 (100.0%) 0.0200 (100.0%) 0.0479 (100.0%) TOTAL
As you can see, our implementation above is pretty fast :). The additional passes listed are automatically inserted by the 'opt' tool to verify that the LLVM emitted by your pass is still valid and well formed LLVM, which hasn't been broken somehow. Now that you have seen the basics of the mechanics behind passes, we can talk about some more details of how they work and how to use them.
| Pass classes and requirements |
When choosing a superclass for your Pass, you should choose the most specific class possible, while still being able to meet the requirements listed. This gives the LLVM Pass Infrastructure information necessary to optimize how passes are run, so that the resultant compiler isn't unneccesarily slow.
| The ImmutablePass class |
Although this pass class is very infrequently used, it is important for providing information about the current target machine being compiled for, and other static information that can affect the various transformations.
ImmutablePass's never invalidate other transformations, are never invalidated, and are never "run".
| The Pass class |
To write a correct Pass subclass, derive from Pass and overload the run method with the following signature:
virtual bool run(Module &M) = 0;
The run method performs the interesting work of the pass, and should return true if the module was modified by the transformation, false otherwise.
| The FunctionPass class |
To be explicit, FunctionPass subclasses are not allowed to:
Implementing a FunctionPass is usually straightforward (See the Hello World pass for example). FunctionPass's may overload three virtual methods to do their work. All of these methods should return true if they modified the program, or false if they didn't.
virtual bool doInitialization(Module &M);
The doIninitialize method is allowed to do most of the things that FunctionPass's are not allowed to do. They can add and remove functions, get pointers to functions, etc. The doInitialization method is designed to do simple initialization type of stuff that does not depend on the functions being processed. The doInitialization method call is not scheduled to overlap with any other pass executions (thus it should be very fast).
A good example of how this method should be used is the LowerAllocations pass. This pass converts malloc and free instructions into platform dependent malloc() and free() function calls. It uses the doInitialization method to get a reference to the malloc and free functions that it needs, adding prototypes to the module if necessary.
virtual bool runOnFunction(Function &F) = 0;
The runOnFunction method must be implemented by your subclass to do the transformation or analysis work of your pass. As usual, a true value should be returned if the function is modified.
virtual bool doFinalization(Module &M);The doFinalization method is an infrequently used method that is called when the pass framework has finished calling runOnFunction for every function in the program being compiled.
| The BasicBlockPass class |
BasicBlockPass's are useful for traditional local and "peephole" optimizations. They may override the same doInitialization(Module &) and doFinalization(Module &) methods that FunctionPass's have, but also have the following virtual methods that may also be implemented:
virtual bool doInitialization(Function &F);
The doIninitialize method is allowed to do most of the things that BasicBlockPass's are not allowed to do, but that FunctionPass's can. The doInitialization method is designed to do simple initialization type of stuff that does not depend on the BasicBlocks being processed. The doInitialization method call is not scheduled to overlap with any other pass executions (thus it should be very fast).
virtual bool runOnBasicBlock(BasicBlock &BB) = 0;
Override this function to do the work of the BasicBlockPass. This function is not allowed to inspect or modify basic blocks other than the parameter, and are not allowed to modify the CFG. A true value must be returned if the basic block is modified.
virtual bool doFinalization(Function &F);The doFinalization method is an infrequently used method that is called when the pass framework has finished calling runOnBasicBlock for every BasicBlock in the program being compiled. This can be used to perform per-function finalization.
| The MachineFunctionPass class |
virtual bool runOnMachineFunction(MachineFunction &MF) = 0;runOnMachineFunction can be considered the main entry point of a MachineFunctionPass; that is, you should override this method to do the work of your MachineFunctionPass.
The runOnMachineFunction method is called on every MachineFunction in a Module, so that the MachineFunctionPass may perform optimizations on the machine-dependent representation of the function. If you want to get at the LLVM Function for the MachineFunction you're working on, use MachineFunction's getFunction() accessor method -- but remember, you may not modify the LLVM Function or its contents from a MachineFunctionPass.
| Pass registration |
Passes can be registered in several different ways. Depending on the general classification of the pass, you should use one of the following templates to register the pass:
Regardless of how you register your pass, you must specify at least two parameters. The first parameter is the name of the pass that is to be used on the command line to specify that the pass should be added to a program (for example opt or analyze). The second argument is the name of the pass, which is to be used for the --help output of programs, as well as for debug output generated by the --debug-pass option.
If you pass is constructed by its default constructor, you only ever have to pass these two arguments. If, on the other hand, you require other information (like target specific information), you must pass an additional argument. This argument is a pointer to a function used to create the pass. For an example of how this works, look at the LowerAllocations.cpp file.
If a pass is registered to be used by the analyze utility, you should implement the virtual print method:
virtual void print(std::ostream &O, const Module *M) const;
The print method must be implemented by "analyses" in order to print a human readable version of the analysis results. This is useful for debugging an analysis itself, as well as for other people to figure out how an analysis works. The analyze tool uses this method to generate its output.
The ostream parameter specifies the stream to write the results on, and the Module parameter gives a pointer to the top level module of the program that has been analyzed. Note however that this pointer may be null in certain circumstances (such as calling the Pass::dump() from a debugger), so it should only be used to enhance debug output, it should not be depended on.
| Specifying interactions between passes |
Typically this functionality is used to require that analysis results are computed before your pass is run. Running arbitrary transformation passes can invalidate the computed analysis results, which is what the invalidation set specifies. If a pass does not implement the getAnalysisUsage method, it defaults to not having any prerequisite passes, and invalidating all other passes.
virtual void getAnalysisUsage(AnalysisUsage &Info) const;
By implementing the getAnalysisUsage method, the required and invalidated sets may be specified for your transformation. The implementation should fill in the AnalysisUsage object with information about which passes are required and not invalidated. To do this, the following set methods are provided by the AnalysisUsage class:
// addRequires - Add the specified pass to the required set for your pass. template<class PassClass> AnalysisUsage &AnalysisUsage::addRequired(); // addPreserved - Add the specified pass to the set of analyses preserved by // this pass template<class PassClass> AnalysisUsage &AnalysisUsage::addPreserved(); // setPreservesAll - Call this if the pass does not modify its input at all void AnalysisUsage::setPreservesAll(); // setPreservesCFG - This function should be called by the pass, iff they do not: // // 1. Add or remove basic blocks from the function // 2. Modify terminator instructions in any way. // // This is automatically implied for BasicBlockPass's // void AnalysisUsage::setPreservesCFG();
Some examples of how to use these methods are:
// This is an example implementation from an analysis, which does not modify // the program at all, yet has a prerequisite. void PostDominanceFrontier::getAnalysisUsage(AnalysisUsage &AU) const { AU.setPreservesAll(); AU.addRequired<PostDominatorTree>(); }
and:
// This example modifies the program, but does not modify the CFG void LICM::getAnalysisUsage(AnalysisUsage &AU) const { AU.setPreservesCFG(); AU.addRequired<LoopInfo>(); }
template<typename PassClass> AnalysisType &getAnalysis();
This method call returns a reference to the pass desired. You may get a runtime assertion failure if you attempt to get an analysis that you did not declare as required in your getAnalysisUsage implementation. This method can be called by your run* method implementation, or by any other local method invoked by your run* method.
| Implementing Analysis Groups |
In particular, some analyses are defined such that there is a single simple interface to the analysis results, but multiple ways of calculating them. Consider alias analysis for example. The most trivial alias analysis returns "may alias" for any alias query. The most sophisticated analysis a flow-sensitive, context-sensitive interprocedural analysis that can take a significant amount of time to execute (and obviously, there is a lot of room between these two extremes for other implementations). To cleanly support situations like this, the LLVM Pass Infrastructure supports the notion of Analysis Groups.
Analysis groups are used by client passes just like other passes are: the AnalysisUsage::addRequired() and Pass::getAnalysis() methods. In order to resolve this requirement, the PassManager scans the available passes to see if any implementations of the analysis group are available. If none is available, the default implementation is created for the pass to use. All standard rules for interaction between passes still apply.
Although Pass Registration is optional for normal passes, all analysis group implementations must be registered, and must use the RegisterAnalysisGroup template to join the implementation pool. Also, a default implementation of the interface must be registered with RegisterAnalysisGroup.
As a concrete example of an Analysis Group in action, consider the AliasAnalysis analysis group. The default implementation of the alias analysis interface (the basicaa pass) just does a few simple checks that don't require significant analysis to compute (such as: two different globals can never alias each other, etc). Passes that use the AliasAnalysis interface (for example the gcse pass), do not care which implementation of alias analysis is actually provided, they just use the designated interface.
From the user's perspective, commands work just like normal. Issuing the command 'opt -gcse ...' will cause the basicaa class to be instantiated and added to the pass sequence. Issuing the command 'opt -somefancyaa -gcse ...' will cause the gcse pass to use the somefancyaa alias analysis (which doesn't actually exist, it's just a hypothetical example) instead.
static RegisterAnalysisGroup<AliasAnalysis> A("Alias Analysis");
Once the analysis is registered, passes can declare that they are valid implementations of the interface by using the following code:
namespace { // Analysis Group implementations must be registered normally... RegisterOpt<FancyAA> B("somefancyaa", "A more complex alias analysis implementation"); // Declare that we implement the AliasAnalysis interface RegisterAnalysisGroup<AliasAnalysis, FancyAA> C; }
This just shows a class FancyAA that is registered normally, then uses the RegisterAnalysisGroup template to "join" the AliasAnalysis analysis group. Every implementation of an analysis group should join using this template. A single pass may join multiple different analysis groups with no problem.
namespace { // Analysis Group implementations must be registered normally... RegisterOpt<BasicAliasAnalysis> D("basicaa", "Basic Alias Analysis (default AA impl)"); // Declare that we implement the AliasAnalysis interface RegisterAnalysisGroup<AliasAnalysis, BasicAliasAnalysis, true> E; }
Here we show how the default implementation is specified (using the extra argument to the RegisterAnalysisGroup template). There must be exactly one default implementation available at all times for an Analysis Group to be used. Here we declare that the BasicAliasAnalysis pass is the default implementation for the interface.
| What PassManager does |
The PassManager does two main things to try to reduce the execution time of a series of passes:
This improves the cache behavior of the compiler, because it is only touching the LLVM program representation for a single function at a time, instead of traversing the entire program. It reduces the memory consumption of compiler, because, for example, only one DominatorSet needs to be calculated at a time. This also makes it possible some interesting enhancements in the future.
The effectiveness of the PassManager is influenced directly by how much information it has about the behaviors of the passes it is scheduling. For example, the "preserved" set is intentionally conservative in the face of an unimplemented getAnalysisUsage method. Not implementing when it should be implemented will have the effect of not allowing any analysis results to live across the execution of your pass.
The PassManager class exposes a --debug-pass command line options that is useful for debugging pass execution, seeing how things work, and diagnosing when you should be preserving more analyses than you currently are (To get information about all of the variants of the --debug-pass option, just type 'opt --help-hidden').
By using the --debug-pass=Structure option, for example, we can see how our Hello World pass interacts with other passes. Lets try it out with the gcse and licm passes:
$ opt -load ../../../lib/Debug/libhello.so -gcse -licm --debug-pass=Structure < hello.bc > /dev/null Module Pass Manager Function Pass Manager Dominator Set Construction Immediate Dominators Construction Global Common Subexpression Elimination -- Immediate Dominators Construction -- Global Common Subexpression Elimination Natural Loop Construction Loop Invariant Code Motion -- Natural Loop Construction -- Loop Invariant Code Motion Module Verifier -- Dominator Set Construction -- Module Verifier Bytecode Writer --Bytecode Writer
This output shows us when passes are constructed and when the analysis results are known to be dead (prefixed with '--'). Here we see that GCSE uses dominator and immediate dominator information to do its job. The LICM pass uses natural loop information, which uses dominator sets, but not immediate dominators. Because immediate dominators are no longer useful after the GCSE pass, it is immediately destroyed. The dominator sets are then reused to compute natural loop information, which is then used by the LICM pass.
After the LICM pass, the module verifier runs (which is automatically added by the 'opt' tool), which uses the dominator set to check that the resultant LLVM code is well formed. After it finishes, the dominator set information is destroyed, after being computed once, and shared by three passes.
Lets see how this changes when we run the Hello World pass in between the two passes:
$ opt -load ../../../lib/Debug/libhello.so -gcse -hello -licm --debug-pass=Structure < hello.bc > /dev/null Module Pass Manager Function Pass Manager Dominator Set Construction Immediate Dominators Construction Global Common Subexpression Elimination -- Dominator Set Construction -- Immediate Dominators Construction -- Global Common Subexpression Elimination Hello World Pass -- Hello World Pass Dominator Set Construction Natural Loop Construction Loop Invariant Code Motion -- Natural Loop Construction -- Loop Invariant Code Motion Module Verifier -- Dominator Set Construction -- Module Verifier Bytecode Writer --Bytecode Writer Hello: __main Hello: puts Hello: main
Here we see that the Hello World pass has killed the Dominator Set pass, even though it doesn't modify the code at all! To fix this, we need to add the following getAnalysisUsage method to our pass:
// We don't modify the program, so we preserve all analyses virtual void getAnalysisUsage(AnalysisUsage &AU) const { AU.setPreservesAll(); }
Now when we run our pass, we get this output:
$ opt -load ../../../lib/Debug/libhello.so -gcse -hello -licm --debug-pass=Structure < hello.bc > /dev/null Pass Arguments: -gcse -hello -licm Module Pass Manager Function Pass Manager Dominator Set Construction Immediate Dominators Construction Global Common Subexpression Elimination -- Immediate Dominators Construction -- Global Common Subexpression Elimination Hello World Pass -- Hello World Pass Natural Loop Construction Loop Invariant Code Motion -- Loop Invariant Code Motion -- Natural Loop Construction Module Verifier -- Dominator Set Construction -- Module Verifier Bytecode Writer --Bytecode Writer Hello: __main Hello: puts Hello: main
Which shows that we don't accidentally invalidate dominator information anymore, and therefore do not have to compute it twice.
virtual void releaseMemory();
The PassManager automatically determines when to compute analysis results, and how long to keep them around for. Because the lifetime of the pass object itself is effectively the entire duration of the compilation process, we need some way to free analysis results when they are no longer useful. The releaseMemory virtual method is the way to do this.
If you are writing an analysis or any other pass that retains a significant amount of state (for use by another pass which "requires" your pass and uses the getAnalysis method) you should implement releaseMEmory to, well, release the memory allocated to maintain this internal state. This method is called after the run* method for the class, before the next call of run* in your pass.
| Using GDB with dynamically loaded passes |
For sake of discussion, I'm going to assume that you are debugging a transformation invoked by opt, although nothing described here depends on that.
$ gdb opt GNU gdb 5.0 Copyright 2000 Free Software Foundation, Inc. GDB is free software, covered by the GNU General Public License, and you are welcome to change it and/or distribute copies of it under certain conditions. Type "show copying" to see the conditions. There is absolutely no warranty for GDB. Type "show warranty" for details. This GDB was configured as "sparc-sun-solaris2.6"... (gdb)
Note that opt has a lot of debugging information in it, so it takes time to load. Be patient. Since we cannot set a breakpoint in our pass yet (the shared object isn't loaded until runtime), we must execute the process, and have it stop before it invokes our pass, but after it has loaded the shared object. The most foolproof way of doing this is to set a breakpoint in PassManager::run and then run the process with the arguments you want:
(gdb) break PassManager::run Breakpoint 1 at 0x2413bc: file Pass.cpp, line 70. (gdb) run test.bc -load /shared/lattner/cvs/llvm/lib/Debug/[libname].so -[passoption] Starting program: /shared/lattner/cvs/llvm/tools/Debug/opt test.bc -load /shared/lattner/cvs/llvm/lib/Debug/[libname].so -[passoption] Breakpoint 1, PassManager::run (this=0xffbef174, M=@0x70b298) at Pass.cpp:70 70 bool PassManager::run(Module &M) { return PM->run(M); } (gdb)Once the opt stops in the PassManager::run method you are now free to set breakpoints in your pass so that you can trace through execution or do other standard debugging stuff.
| Future extensions planned |
This implementation would prevent each of the passes from having to implement multithreaded constructs, requiring only the LLVM core to have locking in a few places (for global resources). Although this is a simple extension, we simply haven't had time (or multiprocessor machines, thus a reason) to implement this. Despite that, we have kept the LLVM passes SMP ready, and you should too.
To solve this problem, eventually the PassManger class will accept a ModuleSource object instead of a Module itself. When complete, this will also allow for streaming of functions out of the bytecode representation, allowing us to avoid holding the entire program in memory at once if we only are dealing with FunctionPass's.
As part of a different issue, eventually the bytecode loader will be extended to allow on-demand loading of functions from the bytecode representation, in order to better support the runtime reoptimizer. The bytecode format is already capable of this, the loader just needs to be reworked a bit.
Note that it is no problem for a FunctionPass to require the results of a Pass, only the other way around.


shiloh
Radix lecti
Registered: Oct 2001
Location: City of Angels
Posts: 1953 |
What it has to do with ratings:
Remember, "logic" is not high on the list of job requirements for network execs.
In the US, the new seasons start on the broadcast channels in September (generally). November is whats called "sweeps". During November, the ratings are calculated, and the advertising prices for all the shows are decided for the next 4 months, based on the ratings.
So, all the networks trot out all their fanciest specials. The tv series put on their "special" episodes (like Buffy's "All Musical" is November 6). The best movies get run, all in an attempt to woo viewers and get higher ratings, so the network can sell ad time at a higher rate.
Cable channels such as Showtime and SciFi aren't included in sweeps. But, they get left in the dust since all the special and stuff pull viewers away. So rather than dump the new episodes of a show like Stargate, they play re-runs, essentially conceeding the field of play to the networks.
Then comes December, Xmas time, when people are generally either a) shopping, b) throwing or having holiday parties, or c) watching holiday specials on TV, and the same logic applies. So generally during december most tv series, including networks, go on reruns.
Another factor is that a show like stargate has 22 episodes. Even if each show is re-run once, 22 x 2 = 44, so that still leaves 8 weeks. Rather than have all the re-runs at the end of the year (January through june in the case of Stargate since it starts in July rather than August) , by going on reruns for 12 weeks they have new episodes playing later into the year.
I know. Way more information that you ever wanted to know, right?
Like Indy said, the US is ahead half the year, then the UK is ahead the rest.
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 Protect your beers with your trustworthy Boomerang.
We are a couple of engineers that enjoy programming, arts, music and games. We started working on this project on our free time. In 2021, Diogo quit his job to focus on this game full-time. We currently live in a game-developer house in Sweden. Reach us at<EMAIL_ADDRESS>Diogo Cunha
<EMAIL_ADDRESS>Inês Almeida
ines@beersandboomerangs.com


--- layout: template menu : tutorial title : Advanced ETL tutorial ---
In this tutorial, we will see how to use Easy Batch to create complex data ETL scenarios with a very few lines of code.
We will use the same resources as in Hello World tutorial (greetings data and Greeting
POJO) to create the following nontrivial ETL application:
We would like to load greetings data from a CSV and an XML file in parallel into the same database. Once all data is loaded successfully, we would like to extract it and generate a greetings file in JSON format.
This is often the case in production systems where we need to load the same data in different formats from several data sources into the same data warehouse.
We will use the same Greeting
POJO to load data from the following CSV and XML input files:
1,foo
2,bar
@XmlRootElement
public class Greeting {
@XmlElement
private long id;
@XmlElement
private String name;
//Getters and setters omitted
}
<?xml version="1.0" encoding="UTF-8"?>
<greetings>
<greeting>
<id>3</id>
<name>baz</name>
</greeting>
<greeting>
<id>4</id>
<name>bas</name>
</greeting>
</greetings>
Let's get started!
To keep the tutorial simple, we will use an in-memory database.
The following RecordProcessor
implementation (which uses Hibernate APIs) will be used to load greetings in the database:
public class GreetingDataLoader extends AbstractRecordProcessor<Greeting> {
private Logger logger = Logger.getLogger(GreetingDataLoader.class.getName());
public void processRecord(final Greeting greeting) throws Exception {
DatabaseUtil.getCurrentSession().beginTransaction();
try {
DatabaseUtil.getCurrentSession().saveOrUpdate(greeting);
DatabaseUtil.getCurrentSession().getTransaction().commit();
logger.log(Level.INFO, "Greeting {0} successfully persisted in the database", greeting);
} catch (HibernateException e) {
DatabaseUtil.getCurrentSession().getTransaction().rollback();
throw new Exception("A database exception occurred during greeting persisting.", e);
}
}
}
This implementation is kept simple for demonstration purpose. In production use case, you should define a commit interval to avoid performance issues of committing the transaction after each record insertion.
To generate greetings in the JSON format, we will use the following GreetingJsonGenerator
implementation which uses
the Java API for JSON Processing:
public class GreetingJsonGenerator extends AbstractRecordProcessor<Greeting> {
@Override
public void processRecord(Greeting greeting) throws Exception {
JsonWriter jsonWriter = Json.createWriter(System.out);
JsonObject greetingModel = Json.createObjectBuilder()
.add("id", greeting.getId())
.add("name", greeting.getName())
.build();
jsonWriter.writeObject(greetingModel);
}
}
To keep the tutorial simple, we will print out Json data to the console.
At this stage we have implemented the business logic of our ETL application. The following tasks will be handled by Easy Batch:
Greeting
instancesSo let's see how to configure Easy Batch to do all this stuff. The following snippet does the trick:
public class Launcher {
public static void main(String[] args) throws Exception {
//Start embedded database server
DatabaseUtil.startEmbeddedDatabase();
// Build an easy batch engine to read greetings from csv file
EasyBatchEngine easyBatchCsvEngine = new EasyBatchEngineBuilder()
.registerRecordReader(new FlatFileRecordReader(new File(args[0])))
.registerRecordMapper(new DelimitedRecordMapper(Greeting.class, new String[]{"id","name"}))
.registerRecordProcessor(new GreetingDataLoader())
.build();
// Build an easy batch engine to read greetings from xml file
EasyBatchEngine easyBatchXmlEngine = new EasyBatchEngineBuilder()
.registerRecordReader(new XmlRecordReader("greeting", new File(args[1])))
.registerRecordMapper(new XmlRecordMapper(Greeting.class))
.registerRecordProcessor(new GreetingDataLoader())
.build();
//create a 2 threads pool to call Easy Batch engines in parallel
ExecutorService executorService = Executors.newFixedThreadPool(2);
Future<EasyBatchReport> easyBatchFutureReport1 = executorService.submit(easyBatchCsvEngine);
Future<EasyBatchReport> easyBatchFutureReport2 = executorService.submit(easyBatchXmlEngine);
easyBatchFutureReport1.get();
easyBatchFutureReport2.get();
executorService.shutdown();
// Build an easy batch engine to generate JSON products data from the database
EasyBatchEngine easyBatchJsonEngine = new EasyBatchEngineBuilder()
.registerRecordReader(new JdbcRecordReader(DatabaseUtil.getDatabaseConnection(),
"select * from greeting"))
.registerRecordMapper(new JdbcRecordMapper(Greeting.class))
.registerRecordProcessor(new GreetingJsonGenerator())
.build();
// Run easy batch engine and get execution report
EasyBatchReport easyBatchReport = easyBatchJsonEngine.call();
// Print the batch report
System.out.println(easyBatchReport);
}
}
In-memory database setup details are not shown here for readability sake.
Using a ExecutorService
allows us to run multiple Easy Batch instances in parallel (see the parallelism tutorial).
The call to java.util.concurrent.Future#get
method is synchronous and waits for the computation to complete. This is actually what will ensure that all data
is loaded in the database before extracting it and generating Json file. It is a kind of thread synchronisation.
That's all, we can now run the batch and see the results!
The complete source code of this tutorial is available here.
To run the tutorial with maven, launch the following command in the easybatch-tutorials
directory :
mvn exec:java -PrunAdvancedETLTutorial
At the end of execution, you should see the following output in the console:
INFO: Initializing easy batch engine <= output of CSV engine
INFO: Initializing easy batch engine <= output of XML engine
INFO: Data source: /data/in/greetings-adv.xml
INFO: Data source: /data/in/greetings-adv.csv
INFO: Total records = 2
INFO: easy batch engine is running...
INFO: Total records = 2
INFO: easy batch engine is running...
INFO: Greeting {id=1, name='foo'} successfully persisted in the database
INFO: Greeting {id=3, name='baz'} successfully persisted in the database
INFO: Greeting {id=2, name='bar'} successfully persisted in the database
INFO: Greeting {id=4, name='bas'} successfully persisted in the database
INFO: Shutting down easy batch engine
INFO: Shutting down easy batch engine
INFO: Initializing easy batch engine <= output of JSON engine
INFO: Data source: Connection URL: jdbc:hsqldb:mem | Query string: select * from greeting
INFO: Total records = 4
INFO: easy batch engine is running...
{"id":1,"name":"foo"}
{"id":2,"name":"bar"}
{"id":3,"name":"baz"}
{"id":4,"name":"bas"}
INFO: Shutting down easy batch engine
In this tutorial, we have seen how to use Easy Batch to create a nontrivial ETL application.
All we have done is :
Easy Batch handled all the boilerplate code of reading, parsing and mapping data to instances of our domain object Greeting
.
Easy Batch has actually reduced the boilerplate code from hundred lines to a very few lines (listing above).
The following table summarizes what we have done and what Easy Batch has done for us :
| Task | You | Easy Batch |
|---|---|---|
| Provide configuration meta data | ||
| Provide record processing logic | ||
| Handle I/O for input files and database | ||
| Read input files and database records one by one | ||
| Map CSV, XML and database records to domain object instances | ||
| Apply business processing logic |


{% include head.html %}
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This record follows the SXVIEW record and contains information about additional features added to PivotTables in Excel 97.
Record Data — BIFF8
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Offset |
Name |
Size |
Contents |
|
4 |
csxformat |
2 |
Number of SXFORMAT records to follow |
|
6 |
cchErrorString |
2 |
Number of characters for DisplayErrorString string |
|
8 |
cchNullString |
2 |
Number of characters for DisplayNullString string |
|
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cchTag |
2 |
Number of characters in Tag string |
|
12 |
csxselect |
2 |
Number of RTSXSELECT records to follow |
|
14 |
crwPage |
2 |
Number of page field per row |
|
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ccolPage |
2 |
Number of page field per column |
|
18 |
grbit1 |
2 |
=0001h, fAcrossPageLay |
|
20 |
grbit2 |
2 |
=0001h, fEnableWizard |
|
22 |
cchPageFieldStyle |
2 |
Number of characters in page field style string |
|
24 |
cchTableStyle |
2 |
Number of characters for table style string |
|
26 |
cchVacateStyle |
2 |
Number of characters for vacate style string |
|
28 |
rgb |
var |
Array of characters for ErrorString, NullString, Tag, PageFieldStyle, TableStyle, VacateStyle |


{% extends "base.html" %} {% load static %} {% load thumbnail %} {% block body %}
Please note that UQ Anthropology Museum Catalogue records may not reflect the best available knowledge about Collection items. If you have additional information or questions about objects in the Collection, we encourage you to contact us.
Users are warned that there may be words and descriptions which may be culturally sensitive and which might not normally be used in certain public or community contexts. Terms and annotations which reflect the author's attitude or that of the period in which the item was written may be considered inappropriate today in some circumstances.
We respectfully advise Aboriginal and Torres Strait Islander peoples that this site may include images, or intellectual property, that may be of a sensitive nature. All efforts have been made to ensure that restricted works are not included.
The UQ Anthropology Museum respects the rights of artists and copyright holders. Every effort is made to trace the copyright holders and gain permission for use of the images within this collection. We would be grateful for any information concerning copyright of images.
No image or information displayed on this site may be reproduced, transmitted or copied other than for the purpose of fair dealing (e.g. for research and study) as permitted under the Copyright Act 1968 and subsequent amendments, without the permission of the copyright holders and UQ Anthropology Museum.
We would like to acknowledge Ms Lesley Bryant for her generous contribution toward developing the new catalogue.
Development of this catalogue is supported by the Australian National Data Service (ANDS). ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super Science Initiative.


{% import 'macros/page_macros.html' as page %} {% extends 'layouts/base.html' %} {% macro message_option(title, url, imageSource, description) %}
{{ description }}
Administrators can invite and manage users, as well as add colleges and scholarships. Administrators can assign default tasks to students, view and manage student profiles, evaluate progress on important college application steps, such as recommendation letters and supplemental essays, as well as access and update the calendar. Counselors also have the option to add new colleges and scholarships for students to explore. {{ page.render_inline_editor(editable_html_obj, current_user) }}
Counselors can assign default tasks to students, view and manage student profiles, evaluate progress on important college application steps, such as recommendation letters and supplemental essays, as well as access and update the calendar. Counselors also have the option to add new colleges and scholarships for students to explore, in addition to recommending colleges and scholarships to certain students. {{ page.render_inline_editor(editable_html_obj, current_user) }}
Students can create a profile with contact information, grades and test scores, extracurriculars, colleges and majors of interest, recommendation letter and supplemental essay progress, as well as college acceptances and scholarship awards. Students can also keep track of their tasks through the checklist and calendar, as well as explore potential colleges and scholarships. {{ page.render_inline_editor(editable_html_obj, current_user) }}
Hack4Impact is a 501 (c)(3) nonprofit organization founded at the University of Pennsylvania in Philadelphia, with chapters at various colleges across the United States. They collaborate with nonprofits and other socially responsible organizations to develop software that meets important social and humanitarian needs.
Get More Information


Scottsdale police: 2 accused of armed robbery, retail theft
by Associated PressSCOTTSDALE, AZ — Police in Scottsdale say a man and woman have been arrested on suspicion of felony counts of armed robbery and organized retail theft.
They say 31-year-old Epitacio Cortina Jr. and 32-year-old Crystal Nichole Roberto are accused of shoplifting several power tools from a Home Depot store in Scottsdale last month.
Police say they received numerous tips that led investigators to identify Cortina and Roberto as suspects in the case.
They say the couple was confronted by store employees in the Oct. 13 shoplifting incident.
Police say the two drove off in a car that was later recovered and determined to have been stolen prior to the store robbery.


Following good password practices is not important
Victims of this misconception don’t follow good password practices. They may not understand why their practices are
insecure. For example, they may not understand that password reuse is bad, because if a reused password is leaked,
all affected accounts will be vulnerable. They also may not understand what makes a password weak - passwords that
would be “hard” for a human to guess may be easy for a machine to guess (whether they are weak to brute-force or to
an attack via wordlist). They might never change their passwords, not recognizing that the longer a password is in
use, the more likely it will be compromised. They might write passwords down in obvious places, not thinking that
anyone would find them (or care to use them). The truth is that following good password practices can help keep
accounts safe and are important to follow.
Example of the consequences of bad passwords in industry.


Cookies Needed By Location Each Day
Add a new location
Location:
Minimum Customers:
Maximum Customers:
Average Cookies:
Create new store!
Delete a location
Location:
Delete this location


Champion
Name:
Level:
HP:
MP:
Ki:
HP Regen / 5:
MP Regen / 5:
Ki Regen / 5:
Attack Damage:
(
+
)
Ability Power:
(
+
)
Armor Penetration:
+
Magic Penetration:
+
Attack Speed:
Range:
Movement Speed:
Crit Chance:
Crit Damage Multiplier:
x
Armor:
(
+
)
Magic Resist:
(
+
)
Life Steal:
Spell Vamp:
Extra Gold / 5sec:
Extra Gold / Unit:
Extra Gold / Champion:
Items:
Battle Simulator
Passive:
Bonus MSPD:
Q:
Bonus Damage:
W:
Bonus Damage:
E:
Initial Damage:
Wall Knockout Damage:
R:
Bonus AD:
Auto Attack:
No Armor & Magic Resist, No Reduction
Physical Damage / sec:
Physical Damage / sec (with Crit):
Magic Damage / sec:
Life Steal / sec:
Armor & Magic Resist
Physical Damage / sec:
Physical Damage / sec (with Crit):
Magic Damage / sec:
Life Steal / sec:
Enemy's Physical Damage Taken:
Enemy's Magic Damage Taken:
Armor & Magic Resist
Physical Damage / sec:
Physical Damage / sec (with Crit):
Magic Damage / sec:
Life Steal / sec:
Enemy's Physical Damage Taken:
Enemy's Magic Damage Taken:
Receiving Damage
Physical Damage Taken:
Magic Damage Taken:
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Abyssal Scepter
Aegis of the Legion
Amplifying Tome
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Long Sword
Last Whisper
Maw of Malmortius
Sapphire Crystal
Vampiric Scepter
Phantom Dancer
Zeal
Boots of Speed
Berserker's Greaves


This is a demo for the Bungie Bar. To test it out, try resizing your window.
Use the buttons above to scroll through the menu options.


Circular 71 explains many of the financial norms and indicators used to gauge the financial performance of Municipalities.
MFMA Return Forms submitted by Municipalities to National Treasury. Understanding these forms can help you understand the information on Municipal Money.
Read more about Local Government Finances and learn about how your money is spent.
Annual Financial Statements of municipalities since 2002-2003. These include the Notes to the Annual Financial Statements where you can find explanations of specific accounting practises and calculations used by the municipality in its financial reporting and some decision making.


The golden boy of German nordic combined
Germany won five of the nine Nordic combined medals up for grabs at PyeongChang 2018, including all three golds. Two of them were claimed by Johannes Rydzek, who made his contribution to the German clean sweep by winning the individual large hill and then helping his team land the large hill/4x5km title. In doing so, he extended a personal medal collection that also includes team bronze from Vancouver 2010 and team silver from Sochi 2014. Just for good measure, the prolific Rydzek also has six World Championship golds to his name, four of them coming in 2017 alone.
Natural talent
“If you are born in Oberstdorf, you probably get your winter sport gene automatically,” says Johannes Rydzek on his official website. Famed for its ski jumping facilities, his Bavarian home town is a venue for the annual Four Hills Tournament and has twice hosted the FIS Nordic World Ski Championships.
“I used to go cross-country skiing with my parents,” recounts the German. “My father was a volunteer at the Four Hills Tournament, which was also the reason why I’ve always wanted to jump.” Attracted to both disciplines, the young Rydzek inevitably found himself drawn to Nordic combined.
Early starter
Things happened fast for Rydzek, who took part in his first FIS competitions at the age of 14 and made his World Cup debut two years later. After being crowned a world junior champion in Hinterzarten (GER) in January 2010, Rydzek had his first taste of Olympic success soon after, aged only 18, winning bronze with Tino Edelmann, Eric Frenzel and Björn Kircheisen in the team large hill/4x5km event at Vancouver 2010, behind winners Austria and runners-up USA.
Summer success
After securing his first Summer Grand Prix title in 2010, Rydzek continued his rapid ascent at the 2011 World Championships in Oslo (NOR), collecting three silver medals: in the individual large hill/10km, where he finished just six seconds behind French legend Jason Lamy-Chappuis, and in the normal hill and large hill team competitions.
His maiden World Cup victory came in the large hill/10km in Lahti (FIN) in March 2011, a year in which he also secured a second Summer Grand Prix crown. Two more followed in 2014 and 2015, as well as third-place finishes in 2012 and 2013.
On the up
Rydzek traded up to an Olympic large hill/4x5km silver at Sochi 2014, with the German quartet he formed with Frenzel, Kircheisen and Fabian Riessle just missing out on gold in a sprint finish with Norway.
The 2014/15 season saw the German’s success continue, as he picked up medals in all four Nordic combined events at the World Championships in Falun (SWE), including two golds. Those victories came in the individual normal hill/10km, where he finished ahead of Alessando Pittin and Lamy-Chappuis, and in the team normal hill/4x5km alongside Edelmann, Frenzel and Riessle. In addition, he won bronze in the large hill/10km and silver in the team sprint with Frenzel.
Test event double
After a quiet 2015/16 season, Rydzek made a spectacular return to form the following year, registering eight World Cup victories, including two at the pre-Olympic test event in PyeongChang. “I did really well on the hill and in the cross-country and I’m delighted,” he said, after his double in the Republic of Korea.
Clean sweep
The German then achieved a remarkable grand slam at the 2017 Worlds in Lahti, winning every gold on offer: the individual normal hill and large hill events as well as the team normal hill (with Frenzel, Kircheisen and Riessle) and the sprint (with Frenzel). It was a feat no other Nordic combined athlete has ever managed, not even when there were only three events on the World Championship programme between 1999 and 2009.
Rydzek secured the sprint gold by overhauling Norway’s Magnus Krog on the very last turn. Commenting afterwards, he said: “It’s absolutely crazy. I need a few days for this to sink in.” In the World Cup that winter, he fought out a thrilling battle with Frenzel, and led in the standings until three races from the end of the season before having to settle for second place behind his compatriot.
Golden double at Pyeongchang 2018
Rydzek was in modest form in the lead-up to PyeongChang 2018, recording only one World Cup win in Ruka (FIN) on the large hill on 30 November 2017, and four top-three finishes in all, which left him fourth in the standings, well behind the winner, Japan’s Akito Watabe.
His third Olympics began with the individual normal hill, with Rydzek placing only 11th after the ski jumping, leaving him with a gap of one minute 26 seconds to close on the leaders in the 10km cross-country race. It was too much for him to make up, though he did climb up to fifth in an event won by Frenzel.
In the large hill six days later, Watabe held the lead after the ski jumping, a single second ahead of Norway’s Jarl Magnus Riiber and 16 clear of Austria’s Wilhelm Denifl. The Germans were not far adrift, however, with Frenzel 31 seconds off the pace, Rydzek 34, and Riessle 44.
Watabe and Riiber stayed out front in the opening kilometre, though it was not long before the German trio closed up. They broke clear on the final climb and in a dramatic sprint for the line, Rydzek got the better of his two compatriots, with less than a second separating the three of them. It was the first clean sweep by any nation in the Olympic history of the event.
Rydzek then skied the anchor leg in the team large hill/4x5km relay, defending the lead given to him by Vinzenz Geiger, Riessle and Frenzel with ease, as Germany won by 52 seconds over defending champions Norway. In picking up his second gold of PyeongChang 2018, Rydzek took his personal Olympic medal collection to four. “I could have blown up in the cross-country and it wouldn’t have mattered because my team-mates did such a great job. It’s a lot of fun to win together.”
Still only 26 by the end of his third Games, the young German has many more objectives to fulfil in the years ahead, with more World Cup, World Championship and Olympic glory at Beijing 2022 in his sights.


My Skills
Mobile Apps - 90%
Website Development - 80%
UI/UX - 60%
1yr
Experience
30+
Projects
5+
Hackathons
I am growing as a Full Stack Web and Android Developer.I am looking towards the future Technologies such as DS,AI,ML and also learning new Frontend/Backend Technologies.
Languages And Tools

Education and Experience
School
I have done 12 years of Schooling at Good Shepherd Convent School,Karjat.
Diploma in Computer Engineering
I have completed my Diploma at Pillai Hoc Polytechnic,Rasayani.
Full Stack Web Developer
I have worked as a Full Stack Developer for 3 months as an Intern.I am also a Self Taught Developer and I have made few projects on Github.
Open Source Contributor
I have contributed to many repositories in various Organization.I also solve any issues if necessary in the current code.I am also a Website Tester.
UI/UX Designer
I have done much work on UI/UX and I have an experience of developing some good UI's for website as well as Andriod Apps.
Mobile App Developer
I spend most of my time developing mobile apps.I am also a certified Java Developer I use Firebase as a Backend to connect my apps.Do check my github profile for more interesting apps.


Linux and technology enthusiast.
Download torrents to a Raspberry Pi with a web interface, automatically update your media library once complete and stream to a DLNA enable TV or other device.
An achievement browser for Halo: Master Chief Collection.
There are 600 achievements in this game and no way to sort or filter them so I started writing this for some PHP practice. The API requests are quite slow though.
My GitHub account. I try to remember to put scripts, snippets and little projects or tools I write here incase I need them again. You never know, someone else may find them useful.


Bootstrap Form Shorthand See source on GitHub
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Transpiled Form HTML
Transpiled Javacript
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