Program Structure
The else keyword can be used, together with if, to create two seperate alternatives
var theNumber = Number(prompt("Pick a number", "")); if (!isNan(theNumber)) alert("Your number is the square root of " + theNumber * theNumber) else alert("Hey. why didn't you give me a number?");
Looping control flow allows us to go back to some point in the program where we were before and repeat it with our current program state
While loop var result = 1; var counter = 0; while (counter < 10){ result = result * 2; counter = counter + 1; }
For loop for (var current = 20; ; current ++) { if (current % 7 == 0) break; }


Class _Association
Base class for all associations.
NOT to be instantiated directly
Its just documented for reference.
Defined in: _Association.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
|
_Association(options)
|
| Field Attributes | Field Name and Description |
|---|---|
| <static> |
_Association.fetch
Fetch types
|
|
Fetch type
|
|
|
Our filter method
|
|
|
The key on this models class to look up
|
|
|
the model associatied with this association.
|
|
|
how to order our association
|
|
|
The join key to look up on our associated model
|
| Method Attributes | Method Name and Description |
|---|---|
|
fetch(parent)
Filters and loads our association.
|
|
|
inject(parent, name)
Method to inject functionality into a model.
|
|
|
isEager()
|
Class Detail
_Association(options)
- Parameters:
- {Object} options
- {String} options.model
- a string to look up the model that we are associated with
- {Function} options.filter
- a callback to find association if a filter is defined then the association is read only
- {Object} options.key
- object with left key and right key
-
{String|Object} options.orderBy
- - how to order our association @see Dataset.order
- {fetch.EAGER|fetch.LAZY} options.fetchType
- the fetch type of the model if fetch.Eager is supplied then the associations are automatically filled, if fetch.Lazy is supplied then a promise is returned and is called back with the loaded models
Field Detail
<static>
_Association.fetch
Fetch types
fetchType
Fetch type
filter
Our filter method
leftKey
The key on this models class to look up
{Model}
model
the model associatied with this association.
orderBy
how to order our association
rightKey
The join key to look up on our associated model
Method Detail
{comb.Promise}
fetch(parent)
Filters and loads our association.
- Parameters:
- parent
- Returns:
- {comb.Promise} Called back with the associations.
inject(parent, name)
Method to inject functionality into a model. This method alters the model
to prepare it for associations, and initializes all required middleware calls
to fulfill requirements needed to loaded the associations.
- Parameters:
- {Model} parent
- the model that is having an associtaion set on it.
- {String} name
- the name of the association.
{Boolean}
isEager()
- Returns:
- {Boolean} true if the association is eager.


I'm now a student of web development in Wellington, New Zealand.


| Interface | Description |
|---|---|
| Headerable |
Identifies a class that can be converted to a
Header object. |
| HttpResource |
An extension of an
HttpEntity that also includes arbitrary headers. |
| NameValuePairable |
Identifies a class that can be converted to a
NameValuePair object. |
| Class | Description |
|---|---|
| BasicHeader |
Superclass of all headers defined in this package.
|
| BasicHttpEntity |
An extension of
BasicHttpEntity with additional features. |
| BasicHttpResource |
An extension of an
HttpEntity with support for arbitrary headers. |
| BasicNameValuePair |
Subclass of
NameValuePair for serializing POJOs as URL-encoded form post entries. |
| Constants |
Constants used by classes in this package.
|
| EntityTag |
Represents a validator value.
|
| HeaderSupplier |
Specifies a dynamic supplier of
Header objects. |
| HeaderSupplier.Null |
Represents no header supplier
|
| HttpMethod |
Represents valid HTTP 1.1 method name static strings per the RFC 2616 spec.
|
| HttpMethodName | Deprecated
Use
HttpMethod . |
| MediaRange |
Describes a single type used in content negotiation between an HTTP client and server, as described in
Section 14.1 and 14.7 of RFC2616 (the HTTP/1.1 specification).
|
| MediaRanges |
A parsed
|
| MediaType |
Describes a single media type used in content negotiation between an HTTP client and server, as described in
Section 14.1 and 14.7 of RFC2616 (the HTTP/1.1 specification).
|
| NameValuePairSupplier |
Specifies a dynamic supplier of
NameValuePair objects. |
| NameValuePairSupplier.Null |
Represents no header supplier
|
| SerializedHeader |
Subclass of
NameValuePair for serializing POJOs as URL-encoded form post entries using the
class . |
| SerializedHttpEntity |
HttpEntity for serializing POJOs as the body of HTTP requests.
|
| SerializedNameValuePair |
Subclass of
NameValuePair for serializing POJOs as URL-encoded form post entries using the
class . |
| StringRange |
Represents a single value in a comma-delimited header value that optionally contains a quality metric for
comparison and extension parameters.
|
| StringRanges |
A parsed
|
Copyright © 2016–2020 The Apache Software Foundation. All rights reserved.


Shock
The shock of the tremor forces the opponents to their knees.
${value} second(s) of Immobilization
min: [1.0, 1.0, 1.5, 1.5, 2.0, 2.0, 2.5, 2.5, 3.0, 3.0, 4.0, 4.0]
+${value}% Total Damage
30 40 50 60 70 80 90 100 110 120 130 140
MaxLevel
8
UltimateLevel
12


{% extends "layout.html" %} {% block page_title %} Home Office - Advanced Passenger Information {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} Advanced Passenger Information Search the Advanced Passenger Information (API) to determine a persons travel history. {% if errors_on %} There's some missing information Make sure all the fields have been completed. First name Last name Date of birth {% endif %} Passenger name First name {% if errors_on %}Please enter a first name{% endif %} Last name {% if errors_on %}Please enter a last name{% endif %} Passenger date of birth Date of birth {% if errors_on %}Please enter a date of birth{% endif %} For example, 31 3 1980 Day Month Year {% endblock %}
Search the Advanced Passenger Information (API) to determine a persons travel history.
Make sure all the fields have been completed.
For example, 31 3 1980


God of War for Playstation 4 is one of my favorite games because of the addicting story and gameplay.
The graphics are also amazing, still great even though the game is from 2018.


Get to Know Me Quiz:
This is a quiz testing how well you know me: Sammantha Sasenick!
The Rules:
After you click the button below, you will be taken to a multiple choice quiz all about me. The timer starts at 60 seconds, and for every correct answer, you earn 10 more seconds. For every incorrect answer, 10 seconds will be deducted from the time. Earn as many points as you can before the time runs out! Good luck!Begin the quiz!


Places to Visit
Add a Place:
Place name
Attraction
City
State
Notes
Another landmark
Add
Places:
Place name:
Landmarks:


The Math Library includes many routines and structures that make the manipulation of FP numbers possible. Most of these are transparent to a C programmer.
C includes the following floating point types:
float
,
double
, and
long
double
. A floating point number in GEOS is of type
FloatNum
, which uses the IEEE 80 bit standard (equivalent to a long double) to represent floating point values.
FloatNum
has overloaded the float, double, long double, and all basic math functions.
A
FloatNum
consists of a one bit sign, a 15 bit exponent, and a 64 bit mantissa. The maximum exponent allowed is 7FFEh. An exponent of 7FFFh (FP_NAN) signals an underflow or overflow. You may check the value of this exponent using the macro
FLOAT_EXPONENT to extract the exponent of a
FloatNum
.
Code Display D-1 Extracting an Exponent
FloatNum myNum;
if (FLOAT_EXPONENT(&myNum) == FP_NAN) { return(ERROR); }
If you use any floats, doubles, or long doubles in your application, GEOS will convert these types into
FloatNum
values automatically and call the appropriate GEOS functions to manipulate the numbers. As this is the case, it is usually easier to declare any floating point variables in your application as
FloatNum
types (or long doubles). This cuts down on conversion time.
The Math Library provides all the familiar mathematical functions to manipulate these GEOS FP numbers (addition, multiplication, computation of logarithms, etc.). In C, most of these functions will automatically be called when their corresponding C operation involving FP numbers take place. (For example, when using the `+' binary operator to add two FP numbers, the Math Library will use the corresponding
FloatAdd()
routine.)
You may, under special circumstances, wish to use these math routines directly. If you do so, you will need to manipulate the floating point stack manually, pushing numbers on the stack and making sure numbers are in the proper stack location to perform each operation. In most cases, the FP math routines operate on numbers already in place on the FP stack; they take and return no arguments of their own.
Two functions you will need to use if you take this approach are
FloatPushNumber()
and
FloatPopNumber()
.
FloatPushNumber()
takes the address of a variable (of type
FloatNum
) to push onto the FP stack;
FloatPopNumber()
takes the address of a buffer to place an FP number popped off the FP stack. Other routines (for example,
FloatAdd()
) can then be called to operate on the FP stack. (See Adding Two FP Numbers
for an example using this approach.)
There are many other routines that perform stack manipulation by shifting locations of FP numbers on the stack (
FloatRoll()
,
FloatDrop()
, etc.). These routines are covered in detail in the latter part of this chapter because they are seldom needed in a C applications.


Description
Similar to what TypeScript is to JavaScript, Cobra is an abstraction of Python which can compile into Python, but
with improved types, memory management, and syntax. Cobra is also backwards compatible with Pytnon2.7 & Python3,
to use (similar to TypeScript), rename your .py files to .pyc
Tag Breakdown
Comments
A comment can be used to annotate a
.pyc
file, and while not affect the functionality. It is
typically used to describe the a purpose of a line or statement. However, to save runtime performance, these
comments will be removed from the final
.py
compiled file
Usage
# this is a comment
Context
# prints "Hello World!" to the command line
print("Hello world!")
Functions
A function shorthand can be used to save time and improve code readability.
Usage
fn main():
Context
fn readFile(fileName):
import os
with open(filepath, "r") as file:
return file.read()
Variable Constants
A constant can be used to prefix a variable which should not change. Cobra will throw an error if a constant
variable is changed.
Usage
const name: str = "John Doe"
Context
# creates a variable which cannot be changed to the value "Hello World!"
const message: str = "Hello World!"
# prints "Hello World!" to the command line
print(message)
Throws Error When
const name: str = "John Doe"
name = "Alice"
Code Example
Echo Name Example
from time import sleep
fn main():
const greeting: str = "Hello"
myAge: int = int()
# get the user to input their details
print("Please input your name")
myName = input()
print("\nPlease input your age")
myAge = input()
sleep(2)
const fullMessage: str = f"{greeting} {myName}!"
print(fullMessage)
main()
Output
Code Compiled!
from time import sleep
def main():
greeting: str = "Hello"
myAge: int = 0
print("Please input your name")
myName = input()
print("\nPlease input your age")
myAge = input()
sleep(2)
fullMessage: str = f"{greeting} {myName}!"
print(fullMessage)
main()
--------------------
Warning from testing/example.pyc
Currently Using Use of escaped newline character in print() statement
This can be incorrect because it can lead to worse code legibility and cross platform compatability issues.
e.g. Windows uses as a newline character \r\n while Linux and newer MacOS devices use \n,and older MacOS devices
use \r for a newline
Suggestion: Consider using empty print() statements for newlines
Notes:
After the program is complete the compiled and printed .py
file will be created in the same directory
as the .pyc
source file.


Reports
Collection
variables declared as
static
. While not necessarily a problem, static collections are often causes of memory leaks, and are therefore prohibited by some coding standards.
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If you register you can keep track of the stories you have already finished. Registration is optional, stories can be accessed even without login.
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This is HTML generated from a template
Data: Dana black white
Dana
Roger
Nat
Hello, Dana!
{{ some-mustache-variable }}
This is a standard template.


Calculate text polarity sentiment at the sentence level and optionally aggregate by rows or grouping variable(s).
| Version: | 2.6.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | data.table, ggplot2, graphics, grid, lexicon (≥ 1.0.0), methods, stats, stringi, syuzhet, textclean (≥ 0.6.1), textshape (≥ 1.3.0), utils |
| Suggests: | testthat |
| Published: | 2018-10-20 |
| Author: | Tyler Rinker [aut, cre] |
| Maintainer: | Tyler Rinker <tyler.rinker at gmail.com> |
| BugReports: | http://github.com/trinker/sentimentr/issues |
| License: | MIT + file LICENSE |
| URL: | http://github.com/trinker/sentimentr |
| NeedsCompilation: | no |
| Citation: | sentimentr citation info |
| Materials: | README NEWS |
| CRAN checks: | sentimentr results |
| Reference manual: | sentimentr.pdf |
| Package source: | sentimentr_2.6.1.tar.gz |
| Windows binaries: | r-devel: sentimentr_2.6.1.zip, r-release: sentimentr_2.6.1.zip, r-oldrel: sentimentr_2.6.1.zip |
| OS X binaries: | r-release: sentimentr_2.6.1.tgz, r-oldrel: sentimentr_2.6.1.tgz |
| Old sources: | sentimentr archive |
Please use the canonical form https://CRAN.R-project.org/package=sentimentr to link to this page.


Title of research study: Comparing the Object-Color
Associations of Humans and Neural Network Models for Natural Language
Processing
IRB Protocol Number: 21-0177
Investigator: Katharina Kann
Purpose of the Study
The goal of this study is to explore which colors humans and neural
network models for natural language processing (NLP) associate with
different objects. In particular, we want to explore our hypothesis
that the models’ associations might differ drastically from those of
humans.
Explanation of Procedures
You will be shown an object (e.g., “apple”) and asked which color(s)
you associate with this object. Please enter your answer into the form
provided on Amazon Mechanical Turk. We will not ask for any personal
information. (The availability of this HIT on MTurk is, however,
restricted to workers in certain countries, such that we get indirect
information about your location).
Voluntary Participation and Withdrawal
Whether or not you take part in this research is your choice. You can
leave the research at any time and it will not be held against you. If
you don’t complete a HIT, you will not be paid for it.
Confidentiality
Information obtained about you for this study will be kept
confidential to the extent allowed by law. Research information that
identifies you may be shared with the University of Colorado Boulder
Institutional Review Board (IRB) and others who are responsible for
ensuring compliance with laws and regulations related to research,
including people on behalf of the Office for Human Research
Protections. The information from this research may be published for
scientific purposes; however, your identity will not be given out.
Payment for Participation
If you agree to take part in this research study, we will pay you
{{ hs.perHitPayment }} per HIT for your time and effort. Payments will
be made over Amazon Mechanical Turk. It is important to know that
payment for participation is taxable income.
Questions
If you have questions, concerns, or complaints, or think the research
has hurt you, talk to the research team at
xxx@example.com.


Amar Akbar & Tony
Amar Akbar & Tony is a movie starring Rez Kempton, Sam Vincenti, and Martin Delaney. Amar, Akbar & Tony follows the lives and loves of three childhood friends through twists and turns as the characters face sudden and unforeseen...


This is a website made by a 17year old girl, Hope Kilonzo. This website has
been made for her friends. It was actually practise that she was doing and she
decided to make this for her firends. This is one of the many works that Hope
has done. If upcoming developers are looking for projects to work on they can
create websites of their friends or families. It's quite easy and fun and a good
way to practise.
I am currently a student in Kenya 17 years of age. I started coding at this young age
and so far I'm loving it. I practise alot during my free time. I enjoy singing,dancing
and definitely coding. In the near future I look forward to working with great innovators.
I am also looking forward to working and sharing ideas with my peers who are also interested
in coding.


Mismatch at Row :735 for Trade ID : 77066744 SWAPTOT Mismatch Column Name =Description |Expected: SPIRIT AEROSYSTEMS HOLD-CL A | Actual: EX/SELL SPR |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 50101.78 | Actual: -50086.61 |
Row 735 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :736 for Trade ID : 77066745 SWAPTOT Mismatch Column Name =Description |Expected: ATLASSIAN CORP PLC CL A | Actual: EX/BUY TEAM |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 210240.4 | Actual: 210282.6 |
Row 736 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :721 for Trade ID : 77066727 SWAPTOT Mismatch Column Name =Description |Expected: VOCERA COMMUNICATIONS INC | Actual: EX/SELL VCRA |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 181576.12 | Actual: -181438.89 |
Row 721 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Trade ID :77066723 not found in Target sheet. RESULT: FAILED
Mismatch at Row :719 for Trade ID : 77066725 SWAPTOT Mismatch Column Name =Description |Expected: UMAX GROUP CORP | Actual: EX/BUY UMAX |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 342099.94 | Actual: 352099.78 |
Row 719 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Trade ID :77066741 not found in Target sheet. RESULT: FAILED
Trade ID :77058449 not found in Target sheet. RESULT: FAILED
Mismatch at Row :751 for Trade ID : 77066761 SWAPTOT Mismatch Column Name =Description |Expected: ZUR ROSE GROUP AG | Actual: EX/BUY ROSE |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 301300.8 | Actual: 301602.1 |
Row 751 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :755 for Trade ID : 77066765 SWAPTOT Mismatch Column Name =Description |Expected: DOMTAR CORP | Actual: EX/BUY UFS |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 66066.4 | Actual: 66104.77 |
Row 755 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :746 for Trade ID : 77066755 SWAPTOT Mismatch Column Name =Description |Expected: WAGEWORKS INC | Actual: EX/BUY WAGE |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 19411.92 | Actual: 19421.6 |
Row 746 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :742 for Trade ID : 77066751 SWAPTOT Mismatch Column Name =Description |Expected: SQUARE INC - A | Actual: EX/BUY SQ |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 89373.32 | Actual: 89408.02 |
Row 742 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :757 for Trade ID : 77066767 SWAPTOT Mismatch Column Name =Description |Expected: QURATE RETAIL INC | Actual: EX/BUY QRTEA |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 176607 | Actual: 176934.05 |
Row 757 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :756 for Trade ID : 77066766 SWAPTOT Mismatch Column Name =Description |Expected: UNIQURE NV | Actual: EX/BUY QURE |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 36037.2 | Actual: 36051.95 |
Row 756 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :743 for Trade ID : 77066752 SWAPTOT Mismatch Column Name =Description |Expected: RING ENERGY INC | Actual: EX/BUY REI |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 204437.91 | Actual: 204787.18 |
Row 743 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :740 for Trade ID : 77066749 SWAPTOT Mismatch Column Name =Description |Expected: KNOWLES CORP | Actual: EX/SELL KN |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 176307.21 | Actual: -176043.44 |
Row 740 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :749 for Trade ID : 77066758 SWAPTOT Mismatch Column Name =Description |Expected: ASIA DEVELOPMENT CAPITAL CO LTD | Actual: EX/BUY 9318 |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 7240000 | Actual: 7247240 |
Row 749 Mismatch Column Name =Maturity Date |Expected: 1/20/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :754 for Trade ID : 77066764 SWAPTOT Mismatch Column Name =Description |Expected: IZEA WORLDWIDE INC | Actual: EX/SELL IZEA |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 346740.12 | Actual: -345144.69 |
Row 754 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :745 for Trade ID : 77066754 SWAPTOT Mismatch Column Name =Description |Expected: GRUPO SANBORNS SAB DE CV | Actual: EX/BUY GSANBOB1 |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 5514009 | Actual: 5522280.01 |
Row 745 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :739 for Trade ID : 77066748 SWAPTOT Mismatch Column Name =Description |Expected: MASSROOTS | Actual: EX/SELL MSRT |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 334760 | Actual: -315406.69 |
Row 739 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :744 for Trade ID : 77066753 SWAPTOT Mismatch Column Name =Description |Expected: PRESTIGE CONSUMER HEALTHCARE INC | Actual: EX/SELL PBH |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 71847.36 | Actual: -71786.76 |
Row 744 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :752 for Trade ID : 77066762 SWAPTOT Mismatch Column Name =Description |Expected: ORAMED PHARMACEUTICALS INC | Actual: EX/BUY ORMP |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 92778.47 | Actual: 93005.13 |
Row 752 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :748 for Trade ID : 77066757 SWAPTOT Mismatch Column Name =Description |Expected: POST HOLDINGS INC | Actual: EX/BUY POST |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 160305 | Actual: 160342.5 |
Row 748 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :753 for Trade ID : 77066763 SWAPTOT Mismatch Column Name =Description |Expected: CAPRI HOLDINGS LTD | Actual: EX/SELL CPRI |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 23576.4 | Actual: -23561.65 |
Row 753 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :741 for Trade ID : 77066750 SWAPTOT Mismatch Column Name =Description |Expected: CREDIT AGRICOLE SA | Actual: EX/SELL CRARF |
Mismatch Column Name =Buy / Sell |Expected: BUYL | Actual: SELL |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 287123 | Actual: -286512.1 |
Row 741 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :747 for Trade ID : 77066756 SWAPTOT Mismatch Column Name =Description |Expected: AMBAC FINANCIAL GROUP INC | Actual: EX/BUY AMBC |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 199984.8 | Actual: 200288.17 |
Row 747 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Mismatch at Row :750 for Trade ID : 77066759 SWAPTOT Mismatch Column Name =Description |Expected: GODADDY INC - CLASS A | Actual: EX/BUY GDDY |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 176990.85 | Actual: 177050.48 |
Row 750 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Trade ID :77066614 not found in Target sheet. RESULT: FAILED
Trade ID :77066617 not found in Target sheet. RESULT: FAILED
Trade ID :77066620 not found in Target sheet. RESULT: FAILED
Trade ID :77066613 not found in Target sheet. RESULT: FAILED
Trade ID :77066625 not found in Target sheet. RESULT: FAILED
Trade ID :77066619 not found in Target sheet. RESULT: FAILED
Trade ID :77066600 not found in Target sheet. RESULT: FAILED
Trade ID :77066618 not found in Target sheet. RESULT: FAILED
Trade ID :77066615 not found in Target sheet. RESULT: FAILED
Trade ID :77066602 not found in Target sheet. RESULT: FAILED
Trade ID :77066612 not found in Target sheet. RESULT: FAILED
Trade ID :77066624 not found in Target sheet. RESULT: FAILED
Trade ID :77066622 not found in Target sheet. RESULT: FAILED
Mismatch at Row :710 for Trade ID : 77066621 SWAPTOT Mismatch Column Name =Description |Expected: VERISANTE TECHNOLOGY INC | Actual: EX/BUY VRSEF |
Mismatch Column Name =Leg2 Index |Expected: 0.00001 | Actual: NAN |
Mismatch Column Name =Notional |Expected: 157500 | Actual: 6142500 |
Row 710 Mismatch Column Name =Maturity Date |Expected: 1/17/2020 0:00 | Actual: 1/15/2020 |
Trade ID :77066616 not found in Target sheet. RESULT: FAILED
Trade ID :77066623 not found in Target sheet. RESULT: FAILED
Trade ID :77066601 not found in Target sheet. RESULT: FAILED
Trade ID :77066599 not found in Target sheet. RESULT: FAILED
Trade ID :77066611 not found in Target sheet. RESULT: FAILED
Trade ID :77066605 not found in Target sheet. RESULT: FAILED
Trade ID :77066606 not found in Target sheet. RESULT: FAILED
Trade ID :77066645 not found in Target sheet. RESULT: FAILED
Trade ID :77066654 not found in Target sheet. RESULT: FAILED
Trade ID :77066596 not found in Target sheet. RESULT: FAILED
Trade ID :77066641 not found in Target sheet. RESULT: FAILED
Trade ID :77066604 not found in Target sheet. RESULT: FAILED
Trade ID :77066597 not found in Target sheet. RESULT: FAILED
Trade ID :77066642 not found in Target sheet. RESULT: FAILED
Trade ID :77066607 not found in Target sheet. RESULT: FAILED
Trade ID :77066644 not found in Target sheet. RESULT: FAILED
Trade ID :77066647 not found in Target sheet. RESULT: FAILED
Trade ID :77066643 not found in Target sheet. RESULT: FAILED
Trade ID :77066603 not found in Target sheet. RESULT: FAILED
Trade ID :77066610 not found in Target sheet. RESULT: FAILED
Trade ID :77066609 not found in Target sheet. RESULT: FAILED
Trade ID :77066608 not found in Target sheet. RESULT: FAILED
Trade ID :77066598 not found in Target sheet. RESULT: FAILED
Trade ID :77066646 not found in Target sheet. RESULT: FAILED
Trade ID :77066640 not found in Target sheet. RESULT: FAILED
Trade ID :77066632 not found in Target sheet. RESULT: FAILED
Trade ID :77066638 not found in Target sheet. RESULT: FAILED
Trade ID :77066634 not found in Target sheet. RESULT: FAILED
Trade ID :77066635 not found in Target sheet. RESULT: FAILED
Trade ID :77066639 not found in Target sheet. RESULT: FAILED
Trade ID :77066652 not found in Target sheet. RESULT: FAILED
Trade ID :77066649 not found in Target sheet. RESULT: FAILED
Trade ID :77066653 not found in Target sheet. RESULT: FAILED
Trade ID :77066648 not found in Target sheet. RESULT: FAILED
Trade ID :77066636 not found in Target sheet. RESULT: FAILED
Trade ID :77066626 not found in Target sheet. RESULT: FAILED
Trade ID :77066629 not found in Target sheet. RESULT: FAILED
Trade ID :77066631 not found in Target sheet. RESULT: FAILED
Trade ID :77066628 not found in Target sheet. RESULT: FAILED
Trade ID :77066633 not found in Target sheet. RESULT: FAILED
Trade ID :77066637 not found in Target sheet. RESULT: FAILED
Trade ID :77066650 not found in Target sheet. RESULT: FAILED
Trade ID :77066627 not found in Target sheet. RESULT: FAILED
Trade ID :77066651 not found in Target sheet. RESULT: FAILED
Trade ID :77066630 not found in Target sheet. RESULT: FAILED
Trade ID :77066669 not found in Target sheet. RESULT: FAILED
Trade ID :77066657 not found in Target sheet. RESULT: FAILED
Trade ID :77066671 not found in Target sheet. RESULT: FAILED
Trade ID :77066673 not found in Target sheet. RESULT: FAILED
Trade ID :77066662 not found in Target sheet. RESULT: FAILED
Trade ID :77066674 not found in Target sheet. RESULT: FAILED
Trade ID :77066655 not found in Target sheet. RESULT: FAILED
Trade ID :77066658 not found in Target sheet. RESULT: FAILED
Trade ID :77066663 not found in Target sheet. RESULT: FAILED
Trade ID :77066667 not found in Target sheet. RESULT: FAILED
Trade ID :77066664 not found in Target sheet. RESULT: FAILED
Trade ID :77066670 not found in Target sheet. RESULT: FAILED
Trade ID :77066660 not found in Target sheet. RESULT: FAILED
Trade ID :77066656 not found in Target sheet. RESULT: FAILED
Trade ID :77066672 not found in Target sheet. RESULT: FAILED
Trade ID :77066661 not found in Target sheet. RESULT: FAILED
Trade ID :77066665 not found in Target sheet. RESULT: FAILED
Trade ID :77066666 not found in Target sheet. RESULT: FAILED
Trade ID :77066659 not found in Target sheet. RESULT: FAILED
Trade ID :77066668 not found in Target sheet. RESULT: FAILED
Trade ID :77066697 not found in Target sheet. RESULT: FAILED
Trade ID :77066701 not found in Target sheet. RESULT: FAILED
Trade ID :77066683 not found in Target sheet. RESULT: FAILED
Trade ID :77066705 not found in Target sheet. RESULT: FAILED
Trade ID :77066699 not found in Target sheet. RESULT: FAILED
Trade ID :77066717 not found in Target sheet. RESULT: FAILED
Trade ID :77066709 not found in Target sheet. RESULT: FAILED
Trade ID :77066707 not found in Target sheet. RESULT: FAILED
Trade ID :77066695 not found in Target sheet. RESULT: FAILED
Trade ID :77066685 not found in Target sheet. RESULT: FAILED
Trade ID :77066711 not found in Target sheet. RESULT: FAILED
Trade ID :77066713 not found in Target sheet. RESULT: FAILED
Trade ID :77066719 not found in Target sheet. RESULT: FAILED
Trade ID :77066715 not found in Target sheet. RESULT: FAILED
Trade ID :77076436 not found in Target sheet. RESULT: FAILED
Trade ID :77076437 not found in Target sheet. RESULT: FAILED
Trade ID :77076435 not found in Target sheet. RESULT: FAILED
Trade ID :77076434 not found in Target sheet. RESULT: FAILED
Trade ID :77076441 not found in Target sheet. RESULT: FAILED
Trade ID :77076439 not found in Target sheet. RESULT: FAILED
Trade ID :77076440 not found in Target sheet. RESULT: FAILED
Trade ID :77076438 not found in Target sheet. RESULT: FAILED
Trade ID :77066788 not found in Target sheet. RESULT: FAILED
Trade ID :77066789 not found in Target sheet. RESULT: FAILED
Trade ID :77066790 not found in Target sheet. RESULT: FAILED
Trade ID :77066791 not found in Target sheet. RESULT: FAILED
Trade ID :77066792 not found in Target sheet. RESULT: FAILED
Trade ID :77066793 not found in Target sheet. RESULT: FAILED
Trade ID :77066794 not found in Target sheet. RESULT: FAILED
Trade ID :77066795 not found in Target sheet. RESULT: FAILED
Trade ID :77066796 not found in Target sheet. RESULT: FAILED
Trade ID :77066797 not found in Target sheet. RESULT: FAILED
Trade ID :77066798 not found in Target sheet. RESULT: FAILED
Trade ID :77066799 not found in Target sheet. RESULT: FAILED
Trade ID :77066800 not found in Target sheet. RESULT: FAILED
Trade ID :77066801 not found in Target sheet. RESULT: FAILED
Trade ID :77066802 not found in Target sheet. RESULT: FAILED
Trade ID :77066803 not found in Target sheet. RESULT: FAILED
Trade ID :77066804 not found in Target sheet. RESULT: FAILED
Trade ID :77066805 not found in Target sheet. RESULT: FAILED
Trade ID :77066806 not found in Target sheet. RESULT: FAILED
Trade ID :77066807 not found in Target sheet. RESULT: FAILED
Trade ID :77066808 not found in Target sheet. RESULT: FAILED
Trade ID :77066809 not found in Target sheet. RESULT: FAILED
Trade ID :77066810 not found in Target sheet. RESULT: FAILED
Trade ID :77066811 not found in Target sheet. RESULT: FAILED
TOTAL Trade IDs Validated: 1292 | TOTAL ROWS PASSED: 0 | TOTAL ROWS WITH MISMATCHES: 1292|


What were you thinking about?
1. The Text
2. How well I'm understanding the story
3. A memory from the past
4. Something in the future
5. Current state of being
6. Other


An adorable, small dog with the personality of a big clown, the Cockapoo is the first of the “designer dogs” (not a “pure” dog breed), dating back to the 1960s, rather than to just a few years ago. Completely people-oriented, the Cockapoo is intelligent enough to train easily, hardly sheds, forgives quickly, and is so affectionate that you’ll never feel alone.  Read more here
An adorable, small dog with the personality of a big clown, the Cockapoo is the first of the “designer dogs” (not a “pure” dog breed), dating back to the 1960s, rather than to just a few years ago. Completely people-oriented, the Cockapoo is intelligent enough to train easily, hardly sheds, forgives quickly, and is so affectionate that you’ll never feel alone. You might even have to shut the bathroom door for a minute of privacy. They’re happy running around an agility course, showing off their tricks to company, being petted as a therapy dog, or just hanging out on your lap. Your lap is theirs, by the way. Read more here
Lots of things about other dogs
An adorable, small dog with the personality of a big clown, the Cockapoo is the first of the “designer dogs” (not a “pure” dog breed), dating back to the 1960s, rather than to just a few years ago. Completely people-oriented, the Cockapoo is intelligent enough to train easily, hardly sheds, forgives quickly, and is so affectionate that you’ll never feel alone. You might even have to shut the bathroom door for a minute of privacy. They’re happy running around an agility course, showing off their tricks to company, being petted as a therapy dog, or just hanging out on your lap.


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{% extends 'dataloaderinterface/base.html' %} {% load static %} {% block styles %} {{ block.super }} {% endblock %} {% block page_title %}
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|
Panda3D
|
This defines a special model that has been constructed for the purposes of embedding an arbitrary graphic image within a text paragraph. More...
Public Member Functions | |
| __init__ () | |
| __init__ (const NodePath model, const LVecBase4 frame) | |
| __init__ (const NodePath model, float left, float right, float bottom, float top) | |
| __init__ (const TextGraphic) | |
| LVecBase4 | getFrame () |
| Returns the frame specified for the graphic. More... | |
| bool | getInstanceFlag () |
| Returns the instance_flag. More... | |
| NodePath | getModel () |
| Returns the NodePath associated with the graphic, that renders the desired image. More... | |
| setFrame (const LVecBase4 frame) | |
| Specifies the (left, right, bottom, top) bounding frame for the graphic. More... | |
| setFrame (float left, float right, float bottom, float top) | |
| Specifies the (left, right, bottom, top) bounding frame for the graphic. More... | |
| setInstanceFlag (bool instance_flag) | |
| Sets the instance_flag. More... | |
| setModel (const NodePath model) | |
| Changes the NodePath associated with the graphic. More... | |
Public Attributes | |
| LVecBase4 | frame |
| Returns the frame specified for the graphic. More... | |
| bool | instance_flag |
| Returns the instance_flag. More... | |
| NodePath | model |
| Returns the NodePath associated with the graphic, that renders the desired image. More... | |
This defines a special model that has been constructed for the purposes of embedding an arbitrary graphic image within a text paragraph.
It can be any arbitrary model, though it should be built along the same scale as the text, and it should probably be at least mostly two- dimensional. Typically, this means it should be constructed in the X-Z plane, and it should have a maximum vertical (Z) height of 1.0.
The frame specifies an arbitrary bounding volume in the form (left, right, bottom, top). This indicates the amount of space that will be reserved within the paragraph. The actual model is not actually required to fit within this rectangle, but if it does not, it may visually overlap with nearby text.
| __init__ | ( | ) |
| __init__ | ( | const NodePath | model, |
| float | left, | ||
| float | right, | ||
| float | bottom, | ||
| float | top | ||
| ) |
| __init__ | ( | const | TextGraphic | ) |
| LVecBase4 getFrame | ( | ) |
Returns the frame specified for the graphic.
This is the amount of space that will be reserved for the graphic when it is embedded in a text paragraph, in the form (left, right, bottom, top).
The actual graphic, as rendered by the NodePath specified via set_model(), should more or less fit within this rectangle. It is not required to fit completely within it, but if it does not, it may visually overlap with nearby text.
| bool getInstanceFlag | ( | ) |
Returns the instance_flag.
See set_instance_flag().
| NodePath getModel | ( | ) |
Returns the NodePath associated with the graphic, that renders the desired image.
| setFrame | ( | const LVecBase4 | frame | ) |
Specifies the (left, right, bottom, top) bounding frame for the graphic.
See get_frame().
| setFrame | ( | float | left, |
| float | right, | ||
| float | bottom, | ||
| float | top | ||
| ) |
Specifies the (left, right, bottom, top) bounding frame for the graphic.
See get_frame().
| setInstanceFlag | ( | bool | instance_flag | ) |
Sets the instance_flag.
When this is true, the graphic is directly instanced to the scene graph whenever it appears; when it is false, the graphic is copied. The default is false, which is best for most applications. You might need to set it true for special kinds of "graphics" like interactive elements, for instance a PGEntry.
| setModel | ( | const NodePath | model | ) |
| LVecBase4 frame |
Returns the frame specified for the graphic.
This is the amount of space that will be reserved for the graphic when it is embedded in a text paragraph, in the form (left, right, bottom, top).
The actual graphic, as rendered by the NodePath specified via set_model(), should more or less fit within this rectangle. It is not required to fit completely within it, but if it does not, it may visually overlap with nearby text.
| bool instance_flag |
Returns the instance_flag.
See set_instance_flag().


By default ZAP listens on localhost:8080. You can change default address
and port by going into Tools -> Options -> Local Proxies tab:
To test that network traffic interception works,
we will use a simple Java app:
There are few things to notice:
We use Apache HttpClient to perform http requests.
By default Apache HttpClient do not use proxy servers,
even if you set ZAP as a system wide proxy. We will deal
with this problem later. For now we will use useSystemProperties() method
on HttpClientBuilder class that will enable proxy support.
Right now we will concentrate on intercepting HTTP traffic.
I will show you how to deal with HTTPS connections later.
If we, now, run our application, we will notice that ZAP did not
intercept any traffic:
Indeed right now our application does not know that it should use
a proxy server. We may force it to use a proxy via JVM command line
parameters:
or by dynamicaly setting system properties in code:
Whatever method you use, if you run the application again,
you should be able to see now a single intercepted request in ZAP:
You can remove previously recorded requests in ZAP by pressing Ctrl+N.
Intercepting traffic from proxy unfriendly apps
As I mentioned previously, Apache HttpClient ignores
proxy settings by default.
If we create our HttpClient using create() method:
HttpClient will ignore proxy settings no matter how we set them.
For dealing with cases like this, we may use
proxychains-ng.
This project is a new reincarnation of old
proxychains util which is no
longer maintained.
Please be aware of this difference. On my system apt-get install proxychains
installs proxychains and not proxychains-ng that we need here.
To install proxychains-ng I needed to download sources from GitHub
and compile them myself:
We also need to change default proxychains-ng configuration:
Now if we run our application using proxychains:
We will be able to intercept traffic using ZAP.
One of the limitations of proxychains is that it may not work for
subprocesses. If you app launches other applications they may
not be proxied at all.
Intercepting HTTPS traffic
So far, so good, but what will happen if we try to intercept
HTTPS traffic from a new, more secure, example:
We will get an exception similar to:
We get this exception because certificate returned by ZAP
proxy is not trusted.
To fix this problem we must generate a new ZAP root cert and add it
(temporarily) to Java keystore.
Generate a new cert and save it somewhere
(Tools -> Options -> Dynamic SSL Certificates):
Don’t forget to click OK.
Then add ZAP root certificate to Java keystore:
If we run our app again, we will be able to intercept an HTTPS request:
This again should work with proxychains-ng.
Sometimes to make it work you will have to uncommendproxy_dns
option in /etc/proxychains.conf file, that I earlier said to
comment out. Why is this sometimes needed, to be honest, I don’t know but
it works this way…
For security reasons after you finished your debugging session,
you should remove ZAP certificate from Java keystore:
Always generate a new ZAP proxy certificate
before adding it to Java keystore. If you must do this
often, I can advice you to create a script and/or bash alias to
make entire process more convenient.


Chose a theme:
Vaporware semiotics messenger bag biodiesel, stumptown vape tote bag. Bespoke next level small batch wolf, raclette artisan celiac sartorial marfa street art shaman chia flannel.   Listicle artisan meditation chia yuccie hella migas.
This is Suzie the cat, she is super cute
This is Ralph the dog, he is hella loyal
This is Marty the turtle, he is a little tired


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--- layout: post title: Parsing Chrome Artifacts with Python!
With local storage, web applications can store data locally within the user's browser.
Before HTML5, application data had to be stored in cookies, included in every server request. Local storage is more secure, and large amounts of data can be stored locally, without affecting website performance. Unlike cookies, the storage limit is far larger (at least 5MB) and information is never transferred to the server. Local storage is per origin (per domain and protocol). All pages, from one origin, can store and access the same data.
--http://www.w3schools.com/html/html5_webstorage.asp
If this is a foreign concept to you, try it out:
{% highlight html %}
https_jon.glass_0.localstorage
in your local storage directory.C:\Users\UserName\AppData\Local\Google\Chrome\User Data\Default\Local Storage
Let's look at my local storage entry from a few angles.
First lets checkout Chrome's developer tools > Resources > Local Storage:
Here is a shot of what it looks like in the ol' SQLITE Browser:
Here is some Python that will read it too:
{% highlight python %}
import sqlite3, datetime
selectStatement = 'SELECT * FROM ItemTable'
LocalStorageFile = 'C:\\Users\\User\\AppData\\Local\\Google\\Chrome\\User Data\\Default\\Local Storage\\https_jon.glass_0.localstorage'
c = sqlite3.connect(LocalStorageFile)
for row in c.execute(selectStatement):
print row[0]
print str(row[1]).decode("utf-16")
{% endhighlight %}
I have looked at a bunch of these and the format is mostly developers choice. It is interesting to see how they are leveraged.
Well that is all for now...


circuit with single gate: f(x, y) = xy;
x =
y =
Tweak amount:
Try times:
Submit
Numerical Gradient (evaluated the gradient by probing the circuit’s output value, independently for every input)
x =
y =
Step size:
Try times:
Submit
Analytic Gradient (use calculus to derive a direct expression for it that will be as simple to evaluate as the circuit’s output value)
x =
y =
Step size:
Try times:
Submit
Circuits with Multiple Gates: f(x,y,z)=(x+y)z
x =
y =
z =
Submit
Single Neuron


Makefile Project - Discovery Options page
Use the Discovery Options page in the Makefile Projects preference panel to configure various options for the scanner configuration.
| Option | Description |
|---|---|
| Discovery profiles scope | Define the scope as configuration-wide or per language for this profile. |
| Automate discovery of paths and symbols | Activate this checkbox to scan the build output to populate the paths and symbol tables. |
| Report path detection problems | Activate this checkbox to report all path detection problems. |
| Discovery profile | Select the discovery profile to use for paths and symbol detection. |
| Enable build output scanner info discovery | Activate this checkbox to configure the scanner to parse the output from a build. |
| Local build output from file | Click Browse to select a file from disk or click Variables to open the Select Variables window to define the build output file. |
| Enable generate scanner info command | Activate this checkbox to specify use of the default scanner information command |
| Compiler invocation command | Type the command that invokes the compiler, for example: gcc, or click Browse to locate it. |


My approach to get a work done is more sort of a promodoro like focus on a particular task for say 30 mins and take a break. I tried to develop a habit instead of starting the day thinking I need to finish this today to just focused 5 minutes important step or work and this worked for me.
The Fogg method of developing habit is amazing. Also the flow psychology which I am used to but get tired after hours of work. I am working on that to change this habit.
The promodoro approach Is what I tried so far so not sure yet whether that works for me.
The micro step approach along with the Foggs b=mat !! and try to improve upon a behaviour
Posted: 6 Dec 2015


| 1.1 |
Enter the following sentences on the computer,
observe the results, give suitable names to any new primitives
(such as * and +. and *.),
and comment on their behaviour.
a=:0 1 2 3
b=:3 2 1 0
a+b
a*b
a-b
a%b
a^b
a^.b
a<b
a>b
(a<b)+(a>b)
(a<b)+.(a>b)
Compare your comments with the following:
| a) |
Negative 3 is denoted by _3.
The underbar _ is part of the representation of
a negative number in the same sense that the decimal point is
part of the representation of one-half when written in the
form 0.5, and the negative
sign _ must not be confused with the symbol used
to denote subtraction (i.e., -).
|
| b) |
Division (%) by zero
yields infinity, denoted by the underbar alone.
|
| c) |
Log of 2 to the base 1 is infinite,
and log of 0 to the base 3 is negative
infinity (__).
|
| d) |
Since the relation 5<7 is true, and the result
of 5<7 is 1, it may be said that
true and false are represented by the ordinary
integers 1 and 0.
George Boole used this same convention, together with the
symbol + to represent the boolean function or.
We use the distinct representation +.
to avoid conflict with the analogous (but different) addition
(denoted by +).
|
|


WARNING
Content Under Development
See
release page for
latest official PDF version.
 Let’s assume we can send a bunch of rays
toward the light source using a pdf $pLight(direction)$ . Let’s also assume we have a pdf related to
$s$, and let’s call that $pSurface(direction)$ . A great thing about pdfs is that you can just use
linear mixtures of them to form mixture densities that are also pdfs. For example, the simplest
would be:
$$ p(direction) = 0.5 \cdot pLight(direction) + 0.5* \cdot pSurface(direction) $$
As long as the weights are positive and add up to one, any such mixture of pdfs is a pdf. And
remember, we can use any pdf-- it doesn’t change the answer we converge to! So, the game is to
figure out how to make the pdf larger where the product $s(direction)*color(direction)$ is large. For
diffuse surfaces, this is mainly a matter of guessing where $color(direction)$ is high.
For a mirror, $s()$ is huge only near one direction, so it matters a lot more. Most renderers in
fact make mirrors a special case and just make the $s/p$ implicit-- our code currently does that.
Let’s do simple refactoring and temporarily remove all materials that aren’t Lambertian. We can use
our Cornell Box scene again, and let’s generate the camera in the function that generates the model:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C++
void cornell_box(hitable **scene, camera **cam, float aspect) {
int i = 0;
hitable **list = new hitable*[8];
material *red = new lambertian( new constant_texture(vec3(0.65, 0.05, 0.05)) );
material *white = new lambertian( new constant_texture(vec3(0.73, 0.73, 0.73)) );
material *green = new lambertian( new constant_texture(vec3(0.12, 0.45, 0.15)) );
material *light = new diffuse_light( new constant_texture(vec3(15, 15, 15)) );
list[i++] = new flip_normals(new yz_rect(0, 555, 0, 555, 555, green));
list[i++] = new yz_rect(0, 555, 0, 555, 0, red);
list[i++] = new flip_normals(new xz_rect(213, 343, 227, 332, 554, light));
list[i++] = new flip_normals(new xz_rect(0, 555, 0, 555, 555, white));
list[i++] = new xz_rect(0, 555, 0, 555, 0, white);
list[i++] = new flip_normals(new xy_rect(0, 555, 0, 555, 555, white));
list[i++] = new translate(new rotate_y(
new box(vec3(0, 0, 0), vec3(165, 165, 165), white), -18), vec3(130,0,65));
list[i++] = new translate(new rotate_y(
new box(vec3(0, 0, 0), vec3(165, 330, 165), white), 15), vec3(265,0,295));
*scene = new hitable_list(list,i);
vec3 lookfrom(278, 278, -800);
vec3 lookat(278,278,0);
float dist_to_focus = 10.0;
float aperture = 0.0;
float vfov = 40.0;
*cam = new camera(lookfrom, lookat, vec3(0,1,0),
vfov, aspect, aperture, dist_to_focus, 0.0, 1.0);
}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
At 500x500 my code produces this image in 10min on 1 core of my Macbook:
![Figure 5-1](../assets/img05-1.jpg)
Reducing that noise is our goal. We’ll do that by constructing a pdf that sends more rays to the
light.
First, let’s instrument the code so that it explicitly samples some pdf and then normalizes for
that. Remember MC basics: $\int f(x) \approx f(r)/p(r)$ . For the Lambertian material,
let’s sample like we do now: $p(direction) = cos(\theta) / \pi$.
We modify the base-class _material_ to enable this importance sampling:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C++
class material {
public:
virtual bool scatter(const ray& r_in,
const hit_record& rec, vec3& albedo, ray& scattered, float& pdf) const {
return false;
}
virtual float scattering_pdf(const ray& r_in,
const hit_record& rec, const ray& scattered) const {
return false;
}
virtual vec3 emitted(float u, float v, const vec3& p) const {
return vec3(0,0,0);
}
};
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
And _Lambertian_ material becomes:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C++
class lambertian : public material {
public:
lambertian(texture *a) : albedo(a) {}
float scattering_pdf(const ray& r_in,
const hit_record& rec, const ray& scattered) const {
float cosine = dot(rec.normal, unit_vector(scattered.direction()));
if (cosine < 0)
return 0;
return cosine / M_PI;
}
bool scatter(const ray& r_in,
const hit_record& rec, vec3& alb, ray& scattered, float& pdf) const {
vec3 target = rec.p + rec.normal + random_in_unit_sphere();
scattered = ray(rec.p, unit_vector(target-rec.p), r_in.time());
alb = albedo->value(rec.u, rec.v, rec.p);
pdf = dot(rec.normal, scattered.direction()) / M_PI;
return true;
}
texture *albedo;
};
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
And the color function gets a minor modification.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C++
vec3 color(const ray& r, hitable *world, int depth) {
hit_record rec;
if (world->hit(r, 0.001, MAXFLOAT, hrec)) {
ray scattered;
vec3 attenuation;
vec3 emitted = rec.mat_ptr->emitted(rec.u, rec.v, rec.p);
float pdf;
vec3 albedo;
if (depth < 50 && rec.mat_ptr->scatter(r, rec, albedo, scattered, pdf)) {
return emitted + albedo*rec.mat_ptr->scattering_pdf(r, rec, scattered)
*color(scattered, world, depth+1) / pdf;
}
else
return emitted;
}
else
return vec3(0,0,0);
}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You should get exactly the same picture.
Now, just for the experience, try a different sampling strategy. Let’s choose randomly from the
hemisphere that is above the surface. This would be $p(direction) = 1/(2* \pi)$ .
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C++
bool scatter(const ray& r_in,
const hit_record& rec, vec3& alb, ray& scattered, float& pdf) const {
vec3 direction;
do {
direction = random_in_unit_sphere();
} while (dot(direction, rec.normal) < 0);
scattered = ray(rec.p, unit_vector(direction), r_in.time());
alb = albedo->value(rec.u, rec.v, rec.p);
pdf = 0.5 / M_PI;
return true;
}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
And again I __should__ get the same picture except with different variance, but I don’t!
![Figure 5-2](../assets/img05-2.jpg)
It’s pretty close to our old picture, but there are differences that are not noise. The front of the
tall box is much more uniform in color. So I have the most difficult kind of bug to find in a Monte
Carlo program-- a bug that produces a reasonable looking image. And I don’t know if the bug is the
first version of the program or the second, or even in both!
Let’s build some infrastructure to address this.


We are an engineer student team based at the University of British Columbia.
We welcome all students with a passion for robots to join one of our three sub-teams
Please contact us via facebook or email. Please be patient, we will get back to you as soon as possible.
Email: ubcrobocup@gmail.com


Full Stack Web Development
Experience :
Full Stack ROR Developer @ Hashtag Loyalty (Oct 2015 - present)
Written API’s for both merchant dashboard and mobile, Written new feature/Enhance existing feature, Report generation with different types of graphs, User analytics and code optimization, Setup and maintain clound infrastructure on AWS, Worked on database design for different features.
Developer and System Administrator @ IIPS-DAVV University (July 2014 - Aug 2015)
Worked on different desktop and web based applications and also maintained cloud infrastructure.
Skills :
Programming
-
C, Ruby, Go
Database
-
Mysql, MongoDB, Sqlite
Web Development
-
HTML, CSS, JavaScript, Jquery, AJAX, JSON, XML
Frameworks
-
Ruby on Rails , AngularJS
Others
-
AWS, Digital Ocean, Continuous Integration, Git, Monitoring Tools, Vagrant
Projects :
-
Published a gem to backup the MYSQL database and save it to either the specified location or on the AWS S3
-
Official website of institute (IIPS-DAVV University).
Feedback System
-
Feedback system of the institute (IIPS-DAVV University).
CMCS
-
Management Information System for collectorate-Indore.
ECMS
-
Management Information System for a coaching institute
-
A web app for organization to send information or alerts to their members/users.
Online Course Completed :
Machine Learning (Coursera)
95%
Web Application and Architecture (Coursera)
95.3%
Introduction to database (Coursera)
Completed
Single Page Web Applications with AngularJS (Coursera)
Completed
Education :
Master of Computer Applications
CGPA: 8.1/10
International Institute of Professional Studies, Devi Ahilya University
July 2012 - May 2015
Bachelor of Computer Applications
CGPA: 7.6/10
International Institute of Professional Studies, Devi Ahilya University
July 2009 - May 2012


For basic styling add the base class .table
to any <table>
.
| # | Name | Company | Engine |
|---|---|---|---|
| 1 | Firefox | Mozilla | Gecko |
| 2 | Chrome | WebKit | |
| 3 | Internet Explorer | Microsoft | Trident |
| 4 | Safari | Apple | WebKit |
Use .table-striped
to add zebra-striping to any table row within the <tbody>
.
| # | Name | Homepage | Description |
|---|---|---|---|
| 1 | Nginx | http://nginx.org | webserver |
| 2 | Apache | http://apache.org | webserver |
| 3 | Skype | http://www.skype.com | Messenger |
| 4 | Blender | http://www.blender.org | 3D-modeller |
Add .table-bordered
for borders on all sides of the table and cells.
| # | Name | Homepage | Description |
|---|---|---|---|
| 1 | Tor | http://torproject.org | Anonymous network |
| 2 | Bitcoin | http://bitcoin.org | Anonymous money |
| 3 | I2P | http://www.i2p2.de | Anonymous network |
Add .table-hover
to enable a hover state on table rows within a <tbody>
.
| # | Name | Homepage | Description |
|---|---|---|---|
| 1 | OpenOffice | http://openoffice.org | Office suite |
| 2 | PyCharm | http://jetbrains.com | IDE |
| 3 | VirtualBox | http://oracle.com | Virtual machine |
| # | Company | Product | Homepage | Product description |
|---|---|---|---|---|
| 1 | Oracle | OracleDB | http://oracle.com | SQL server |
| 2 | RedHat | RedHat Advanced Server | http://redhat.com | Operation System |
| 3 | Microsoft | Windows | http://microsoft.com | Operation System |
| 4 | Apple | MacOSX | http://apple.com | Operation System |
| 5 | Adobe | Adobe Photoshop | http://adobe.com | Design suite |
| 6 | Corel | Corel Draw! | http://corel.com | Design suite |
| 7 | Chrome | http://google.com | Web-browser | |
| 8 | Mozilla | Firefox | http://mozilla.org | Web-browser |
.table-striped
, .table-bordered
, .table-hover
and .table-heading
Also you can use contextual classes to color table rows or individual cells
| Column #1 | Column #2 | Column #3 | Column #4 | Column #5 |
|---|---|---|---|---|
| no | class | to | default | view |
| class | active |
to | color | row |
| class | primary |
to | color | row |
| class | success |
to | color | row |
| class | info |
to | color | row |
| class | warning |
to | color | row |
| class | danger |
to | color | row |
active class to color cell |
success class to color cell |
info class to color cell |
warning class to color cell |
danger class to color cell |


The package has pre and/or post script in the package.json file. These script will be executed before or after the installation of a dependency (this is useful for example to build native addons or similar things). However these script may be used to execute malicious code on your system.


Open Everyday
7AM - 2PM
menus
midcity
uptown
catering
mother mary's
locations
midcity
uptown
mother mary's
Midcity
Mother Mary's
Uptown
Catering


Four matches to watch this weekend - Premium Times Nigeria
by Jide AlakaNigeria v Cote d’Ivoire @4 p.m. on November 9
Nigeria has had mixed results in under-age football tournaments in 2019 – in Africa and on the world stage.
When the 2019 Africa U-23 Cup of Nations kicks off in Egypt on Friday, Nigerians will be hoping the Imama Amakapabo-led side qualify for the 2020 Olympics, having already seen the Falcons knocked out of the Tokyo train.
The last Nigeria U-23 side beat all comers to win the tournament in 2015 and then went all the way to bronze at the 2016 Olympics in Brazil despite many challenges.
The team capped off their preparations in Ismaila with a scoreless draw against Cameroon and players like Kelechi Nwakali, Taiwo Awoniyi, Valentine Ozorwafor, and Tom Dele-Bashiru will hope to catch Gernot Rohr’s eyes with good performances.
This is Cote d’Ivoire’s second involvement in the tournament with the likes of the prolific Christian Kouame, who has scored five goals for Genoa in Serie A, assisted by captain Ismael Chester from Ajaccio and Yves Diallo from Lille.
Current Form: Nigeria [W-L-W-L-W]; CIV [W-L-W-W-L]
Head to head
None
Prediction: Nigeria 1-1 CIV
Liverpool v Man. City @Anfield @5:30pm on Nov.10
If the gap between Liverpool and Manchester City grows to nine points, will it be game over for City and Pep Guardiola?
This question will be the guiding light for the City manager as he strategizes on how to ensure the gap does not grow any further, but will he settle for a draw?
Liverpool are undefeated in their last 43 home matches while Jurgen Klopp and Guardiola have met 14 times in their managerial careers with both having seen the better of the other six times each with the two draws.
There are doubts concerning City goalkeeper, Ederson, and David Silva with Fernandinho expected to play at centre-back.
Jordan Henderson is an injury doubt for Liverpool with Sadio Mane ready to ram the ‘diver’ tag down Guardiola’s throat.
Current Form: Liverpool [W-W-W-W-W]; Man. City [D-W-W-W-W]
Head to head
04/08/19 COS Liverpool 1 – 1 Man. City
03/01/19 PRL Man. City 2 – 1 Liverpool
07/10/18 PRL Liverpool 0 – 0 Man. City
26/07/18 ICC Man. City 1 – 2 Liverpool
10/04/18 UCL Man. City 1 – 2 Liverpool
Prediction: Liverpool 2-2 Man. City
Bayern Munich v Borussia Dortmund @Allianz Arena @6:30 on Nov.9
Manager-less Bayern cannot afford to lose to Dortmund in ‘Der Klassiker’ no matter who calls the shots from the Bayern bench.
Caretaker boss, Hansi Flick, cannot start with either of his center-backs – Jerome Boateng is suspended while Niklas Sule is recovering from injury.
Lucien Favre also has concerns about Jadon Sancho and Marco Reus, though the fightback against Inter Milan in the UEFA Champions League will have his players buzzing and confident about the trip to Munich.
Dortmund is second on the Bundesliga table with 19 points, just one point ahead of their hosts on Saturday. This one promises to be a cracker.
Current Form: Bayern [W-L-W-W-W]; Dortmund [W-W-W-D-L]
Head to head
03/08/19 SUC Dortmund 2 – 0 Bayern
06/04/19 BUN Bayern 5 – 0 Dortmund
10/11/18 BUN Dortmund 3 – 2 Bayern
31/03/18 BUN Bayern 6 – 0 Dortmund
20/12/17 DFP Bayern 2 – 1 Dortmund
Prediction: Bayern 1-2 Dortmund
Juventus v AC Milan @Allianz Stadium @8:45pm on Nov.10
AC Milan was [are] a big club and they have made their worst start to a league season since 1994, languishing in 11th place, already 16 points adrift of their hosts on Sunday.
Ivan Gazidis, Milan’s CEO, says, “We [Milan] are playing against the best Italian team. I am convinced we can put in a strong performance against Juve. I think this kind of match can help put Milan on the path back to be a big club.”
But Milan midfielder, Ismael Bennacer, went further by saying, “We are Milan, not Lecce. Juventus and Lecce drew, so we can win. We just need to have the right spirit.”
Having the right spirit will give Milan a fighting chance.


IIT Kharagpur is renowned as an Institution of excellence due its academic merit and holistic development of individual personalities. Societies and groups have successfully represented IIT Kharagpur in a variety of competitive events. However, it has been recognized that the breadth and quality achieved in cultural activities have not reached a broad audience in the campus. The latent potential of the student community has not been tapped or recognised, often by the students themselves, simply because they lack a platform where they are free to explore and recognise their own passions.
To bridge this gap, I propose to organise a Cultural Development Program, open to all students of IIT Kharagpur, where each interested student is accepted into a high-quality, well-defined series of workshops, co-organized by experienced members of the student community, societies and outside professionals, under the able guidance of Professors. The workshops serve the dual purpose of initiating the participants into different cultural activities, and training them towards exploiting their own capabilities.
The workshops will be divided into four cultural genres, with each genre having a series of regularly-held workshops under their ambit. The genres, determined by popular mandate, are:
● Literary genre
● Dramatics genre
● Dance genre
● Fine Arts and Photography genre
Each genre will involve the conduction of four workshops at regular intervals, culminating in a competitive or collaborative event, or a production involving all participants.
WS1: Introduce the participants to the activities and initiate their practice for the same. Co- ordinated with the societies and experienced student participants.
WS2 and WS3: Headed by experienced members of the student community, and/or the requisite societies respectively.
WS4: Headed by professionals with substantial experience in the respective cultural genre, whose invitation to the campus shall be co-ordinated in conjunction with the requisite societies involved.
Preliminary registrations for the Cultural Development Program shall begin on April 15, 2016 and continue till August 20, 2016, enabling a broad-ranged reach that cuts across the student community. The fees for this Program shall be kept nominal, to ensure that the Program is affordable and widely accessible, with an exact amount to be finally determined after consulting with the respective authorities and stakeholders.. The Program’s workshop series shall subsequently begin, keeping in mind the official schedule of holidays of the Institute while simultaneously maintaining flexibility for the participants with respect to their academic requirements. The four periods of time devoted for this purpose, in the Autumn semester of the academic session 2016 – 2017, are as follows:
● August 21 - September 5
● September 22 - October 6
● October 17 - October 31
● November 1 - November 15 The official schedule shall be intimated to all registered participants prior to the initiation of the Cultural Development Program.
The Cultural Development Program entails a series of benefits for the student community of IIT Kharagpur. The expanded outreach of cultural activities increases awareness regarding their extent, quality and impact, and hence improves visibility amongst the students. Simultaneously, the societies themselves can benefit from a more interested and aware student community, propelling them to newer heights and ultimately benefiting IIT Kharagpur as an Institution.
Equally important is the perspective of the participating students. Through the workshops, they are given the opportunity to continuously engage with each other and with well- experienced individuals for optimum results of self-improvement and awareness. This is also tremendously beneficial in further diversifying the skills that students gain, which are becoming increasingly important and relevant today.
As a long-term proposal, the evolving legacy of the Cultural Development Program is far- reaching. Once the starting point is passed, the ethos of the Program can go ahead and become an integral fibre of campus life and excellence, furthering the strength and capability of the student community as a whole.
The Fine Arts Cup is one of the four genre cups of the Social and Cultural General Championship, involving the conduction of five events – Sketching, Collaging, Postering, Cartooning, and Thermocol and Clay Modelling. While these events have remained staple features of the General Championship for many years, with a strong history of participation and quality results on topics often themed on social motives, they have not evolved in nature to accommodate for the varying needs of today’s digital world.
To bring forward the quality, scope and current relevance and applicability of the events of the Fine Arts Cup, I propose to expand the events of Cartooning and Sketching so as to include both traditional and digital production formats. This would increase the imparting of requisite skillset to participants, ensuring that they are well-tuned to modern and in- demand qualities, with a healthy basis of knowledge in the same. The Fine Arts Cup will be rounded out by the inclusion of a photography event as well.
The two events whose scope will be enlarged, Cartooning and Sketching, shall now be composed of two distinct elements:
● A standard, hand-drawn submission based on the given topic
● A computer-based digital submission based on the specific topic
Both elements shall count towards the final scoring for each Hall of Residence, the scores being the cumulative totals of scores from all the submissions made from the participants of each Hall of Residence. Thus, the events will test the participants on both hand and digital skills, thus demanding greater effort and increased variety of implementation.
The digital segments of the above events shall be conducted at a suitable venue, the precise location of which shall depend on availability of possible computer laboratory facilities as well as the decision of the Fine and Allied Arts subcommittee. Judging for the event, however, will be singular and comprehensive across both submission formats.
In addition to the above modifications to the events, a new event shall be included in the Fine Arts Cup, called the Photography event. The event will be a submission-based event, with a specified deadline and a mandated time period of occurrence. The event shall be initiated when the judge releases the theme for the event, on the basis of which participants shall make and assess their submissions. Being an individual execution, the photography event would be an Individual event of 60 points.
Each Hall of Residence shall submit five photographs for perusal to the judges. Each photograph shall be evaluated on the following factors:
● Relevance to theme
● Uniqueness of perspective
● Quality of detail
The final score for each Hall of Residence shall be the cumulative total score obtained from each submitted photograph. A time period of one month shall be allotted for this event, with any requisite changes to be determined in the subcommittee.
All submissions must be made in the JPEG format, and must be directly submitted to the Secretary, Fine and Allied Arts Subcommittee. To ensure logistical consistency and elimination of potentially fraudulent entries, the General Championship shall co-ordinate with Spring Fest to uphold quality standards and prevent infractions on intellectual property rights, thus ensuring a fair, comprehensive scope of participation that shall further improve the relevance and scope of the Fine Arts Cup.
Life at the Indian Institute of Technology Kharagpur is exceptional due to its long standing culture. The life entails participation in society events, events in the General Championships and inter-institute competitions across the country. As stated in the
“ A strong and distinctive culture is important as it supports and unifies the university as a brand, and is aligned to the vision, mission and purpose of the institution.”
Keeping this in mind I think that the activities of our students has two problems
1.) It is not all pervasive
2.) People outside our institute have no way of knowing about this rich culture which keeps it limited to our Institute and doesn’t permit it to grow into a brand by itself
In order to address the second issue I think that we need to publicize such events taking place within our institute with a much greater zeal and gusto than is being done in the present scenario. To that effect I propose that we maintain a powerful presence on the social media and the internet.
The ways in which this is going to be implemented are several:
● An active Youtube channel showcasing the society events (such as drama productions, Debates, Music productions, etc.), the events of the General Championships throughout the year and signature events like the Illumination.
● An active facebook page that showcases these events and posts updates actively along with photographs accompanying events and teasers and short video clips taken from the event.
● A twitter account to assert the presence of the cultural wing of our institute on the social media.
● A blog called with frequent posts about incidences in the events presenting the backstories that encircle every event.
All these efforts will be very coherent meaning that the facebook page and twitter will compliment the youtube channel. With the assistance of the Gymkhana Photography secretary, we will proceed to click snapshots of our best performances as well as complete videos. The relevant links and information shall be regularly available on the Gymkhana website.
It will be my earnest endeavour, if I am elected to the post of General Secretary, Social and Cultural, to coordinate with my team and keep all the pages, channels and websites fully updated. I am sure, that the talent and the effort showcased during the General Championship events will leave an indelible impression on everyone. The increased visibility will help reveal our multifaceted skillset to the entire world. This will not only add to the glory of our institute and ensure due recognition to the performers it will also set our institute apart from most other institutes across the world attracting students from across the world. This will go a long way in achieving excellence in creating a holistic environment which is in line with the motto of Vision 20-20


Auto Scaling Group. More...
Public Member Functions | |
| (id) | - init |
| Default constructor for a new object. | |
| (void) | - addInstance: |
| Adds a single object to instances. | |
| (void) | - addSuspendedProcesse: |
| Adds a single object to suspendedProcesses. | |
| (void) | - addEnabledMetric: |
| Adds a single object to enabledMetrics. | |
| (NSString *) | - description |
| Returns a string representation of this object; useful for testing and debugging. | |
Properties | |
| NSString * | autoScalingGroupName |
| Specifies the name of the group. | |
| NSString * | autoScalingGroupARN |
| The Amazon Resource Name (ARN) of the Auto Scaling group. | |
| NSString * | launchConfigurationName |
| Specifies the name of the associated LaunchConfiguration. | |
| NSNumber * | minSize |
| Contains the minimum size of the AutoScalingGroup. | |
| NSNumber * | maxSize |
| Contains the maximum size of the AutoScalingGroup. | |
| NSNumber * | desiredCapacity |
| Specifies the desired capacity for the AutoScalingGroup. | |
| NSNumber * | defaultCooldown |
| The number of seconds after a scaling activity completes before any further scaling activities can start. | |
| NSMutableArray * | availabilityZones |
| Contains a list of availability zones for the group. | |
| NSMutableArray * | loadBalancerNames |
| A list of load balancers associated with this Auto Scaling group. | |
| NSString * | healthCheckType |
| The service of interest for the health status check, either "EC2" for Amazon EC2 or "ELB" for Elastic Load Balancing. | |
| NSNumber * | healthCheckGracePeriod |
| The length of time that Auto Scaling waits before checking an instance's health status. | |
| NSMutableArray * | instances |
| Provides a summary list of EC2 instances. | |
| NSDate * | createdTime |
| Specifies the date and time the Auto Scaling group was created. | |
| NSMutableArray * | suspendedProcesses |
| Suspended processes associated with this Auto Scaling group. | |
| NSString * | placementGroup |
| The name of the cluster placement group, if applicable. | |
| NSString * | vPCZoneIdentifier |
| The identifier for the VPC connection, if applicable. | |
| NSMutableArray * | enabledMetrics |
| A list of metrics enabled for this Auto Scaling group. |
Auto Scaling Group.
| - (void AutoScalingAutoScalingGroup.)addEnabledMetric: | (AutoScalingEnabledMetric *) | enabledMetric |
Adds a single object to enabledMetrics.
This function will alloc and init enabledMetrics if not already done.
| - (void AutoScalingAutoScalingGroup.)addInstance: | (AutoScalingInstance *) | instance |
Adds a single object to instances.
This function will alloc and init instances if not already done.
| - (void AutoScalingAutoScalingGroup.)addSuspendedProcesse: | (AutoScalingSuspendedProcess *) | suspendedProcesse |
Adds a single object to suspendedProcesses.
This function will alloc and init suspendedProcesses if not already done.
| - (NSString * AutoScalingAutoScalingGroup.)description |
Returns a string representation of this object; useful for testing and debugging.
| - (id AutoScalingAutoScalingGroup.)init |
Default constructor for a new object.
Callers should use the property methods to initialize this object after creating it.
- (NSString *) autoScalingGroupARN [read, write, retain] |
The Amazon Resource Name (ARN) of the Auto Scaling group.
Constraints:
Length: 1 - 1600
Pattern: [---
]*
- (NSString *) autoScalingGroupName [read, write, retain] |
Specifies the name of the group.
Constraints:
Length: 1 - 255
Pattern: [---
]*
- (NSMutableArray *) availabilityZones [read, write, retain] |
Contains a list of availability zones for the group.
Constraints:
Length: 1 -
- (NSNumber *) healthCheckGracePeriod [read, write, retain] |
The length of time that Auto Scaling waits before checking an instance's health status.
The grace period begins when an instance comes into service.
- (NSString *) healthCheckType [read, write, retain] |
The service of interest for the health status check, either "EC2" for Amazon EC2 or "ELB" for Elastic Load Balancing.
Constraints:
Length: 1 - 32
Pattern: [---
]*
- (NSString *) launchConfigurationName [read, write, retain] |
Specifies the name of the associated LaunchConfiguration.
Constraints:
Length: 1 - 255
Pattern: [---
]*
- (NSString *) placementGroup [read, write, retain] |
The name of the cluster placement group, if applicable.
For more information, go to <a webservices.com/AWSEC2/latest/UserGuide/using_cluster_computing.html"> Using Cluster Instances in the Amazon EC2 User Guide.
Constraints:
Length: 1 - 255
Pattern: [---
]*
- (NSString *) vPCZoneIdentifier [read, write, retain] |
The identifier for the VPC connection, if applicable.
Constraints:
Length: 1 - 255
Pattern: [---
]*


CreateImageMenu()
Syntax
Result = CreateImageMenu(#Menu, WindowID [, Flags])Description
Creates a new empty menu on the given window with support for images in the menu items.
Parameters
#Menu A number to identify the new menu. #PB_Any can be used to auto-generate this number. WindowID The window for the new menu. It can be obtained using the WindowID() function. Flags (optional) This can be a combination of the following values: #PB_Menu_ModernLook: Enable gradient and modern look (only has an effect on Windows)
Return value
Nonzero if the menu was successfully created, zero otherwise. If #PB_Any was used for the #Menu parameter then the generated number is returned on success.
Remarks
Once created, this menu becomes the current menu for further item additions. It's now possible to use functions such as MenuTitle(), MenuItem(), MenuBar(), OpenSubMenu() to populate the menu.
To handle menu events properly, see the description of following functions:
WaitWindowEvent() (alternatively WindowEvent())
EventWindow()
EventMenu()
Example
If LoadImage(0, OpenFileRequester("Choose an icon file", "", "", 0)) If OpenWindow(0, 200, 200, 200, 100, "Image menu Example") If CreateImageMenu(0, WindowID(0)) ; menu creation starts.... MenuTitle("Project") MenuItem(1, "Open" +Chr(9)+"Ctrl+O", ImageID(0)) MenuItem(2, "Save" +Chr(9)+"Ctrl+S") MenuItem(3, "Save as"+Chr(9)+"Ctrl+A") MenuItem(4, "Close" +Chr(9)+"Ctrl+C") EndIf Repeat : Until WaitWindowEvent() = #PB_Event_CloseWindow EndIf EndIf
See Also
CreateMenu(), CreatePopupMenu(), CreatePopupImageMenu(), FreeMenu(), MenuTitle(), MenuItem(), MenuBar(), OpenSubMenu()
Supported OS
All


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My name is wycliff, a kenyan citizen by birth My educational background includes my high school certicate and certificate in computer technology from Technical university of Kenya and a diploma in information Technology from Zetech Universty
Have worked in real estate industry for two years as a field officerMy interest, I am aiming to open a big IT company in nairobi which will help solve tech related problems as well as get a decent earning
hightech-computer-services


--- title: Memoization layout: post tags: [perl] uuid: c9f47622-9893-377c-a28b-d1cdfe8850e8 ---
I had written in a previous post about a neat feature of Lua. I found out later that this is simply a form of Memoization. The idea is that you trade memory for speed by only doing calculations once and keeping track of previously calculated values. I had even complained about Perl hashes not being flexible enough (not true, thanks to Tie::Hash). Perl actually has something even cooler, which is the Memoize module.
The module can memoize any function, although it is only useful on "pure" functions: functions with no side effects and not dependant external data that will change. The official documentation contains a nice example demonstrating a recursive implementation of a Fibonacci sequence generator. My example is a little program I wrote the other day where the memoize module came in handy.
You have coins valued at 1, 2, 5, 10, 20, 50, 100, and 200. How many different ways can 200 be made using any number of coins. A simple recursive solution is this: stick in each coin one at a time and ask the same question again. So, we use a coin worth 1, now the question is how many ways can we make change for 199. Then 198, then 195, then 190, etc. Because the order of the coins is not important these two sets are identical: (1 1 5) (5 1 1). So, to avoid counting the same set twice, we also want to tell the function the largest size coin to use from then on. Our function may look like this now (Perl),
use List::Util qw(sum); sub count { my ($s, $m) = @_; return 1 if ($s == 0); my @valid = grep {$_ <= $s and $_ >= $m} @coins; return 0 if ($#valid == -1); return sum map {count($s - $_, $_)} @valid; }
Where it is called as count(total, max_coin_value)
.
However, we will be calculating the same value twice many times
over. For example, lets say we start filling the first 10 of 200 like
this: (1 1 1 1 1 5) or (5 5). The next call to count
will
be count(190, 5)
for both cases. Just like the recursive
Fibonacci implementation, we are spending an enormous amount of time
repeating ourselves. Running this for a value of 200 will take
minutes. Running it for a value of 2000 may take days! Memoization to
the rescue!
We will now add this,
use Memoize; memoize('count');
The module has now transparently installed a new version of the function over our original. If we ever pass the same arguments that we already have passed, the module will look up the original calculated value and return it instead of calling the real function. It now can calculate the number of ways to make change for a value of 2000 in a couple seconds rather than days. That's how much redundant work the function was doing. Here is the whole thing,
#!/usr/bin/perl use strict; use warnings; no warnings qw(recursion); use List::Util qw(sum); use Memoize; memoize('count'); my @coins = (1, 2, 5, 10, 20, 50, 100, 200); print count(200, 1); print "\n"; sub count { my ($s, $m) = @_; return 1 if ($s == 0); my @valid = grep {$_ <= $s and $_ >= $m} @coins; return 0 if ($#valid == -1); return sum map {count($s - $_, $_)} @valid; }
Now, to apply it to the Collatz problem from my previous post we get a nice simple little program,
#!/usr/bin/perl use strict; use warnings; no warnings qw(recursion); use List::Util qw(max); use Memoize; memoize('collatz'); while (<>) { my ($n, $m) = split; printf("$n $m %d\n", max map { collatz($_) } ($n..$m)); } sub collatz { my $n = shift; return 1 if ($n == 1); return 1 + collatz(3*$n+1) if ($n & 1); return 1 + collatz($n/2); }
I really do love Perl.


This site has been made in 2017, containing lots of English errors and will be rebuilt from scratch. UltraCreator's site will probably be moved into Gamlr.
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Selector: mdc-select
| Properties | Description |
|---|---|
| id: string | Unique Id of the select (auto generated if not supplied). |
| name: string | Name of the select. |
| placeholder: string | Text shown if no value has been selected. |
| value: any | Sets the selected item by value. |
| autosize: boolean | If true, the width of the select and it's menu are calculated and set appropriately. (Default is false) |
| tabIndex: number | Set the underlying tab index of the select. (Default is 0) |
| floatLabel: boolean | Whether or not to show or hide a floating placeholder. |
| outlined: boolean | Styles the select as an outlined select. |
| disabled: boolean | Enables/disables the select. |
| helperText: MdcHelperText | Reference to related MdcHelperText |
| Methods | Parameters |
|---|---|
| focus() | Sets focus to the select component. |
| getValue(): string | Returns the value of the currently selected option, or an empty string if no option is selected. |
| getSelectedIndex(): number | Returns the index of the currently selected option. Returns -1 if no option is currently selected. |
| setSelectionByValue(value: any) | Set selection to the passed value. |
| Events | Description |
|---|---|
| valueChange(index: number, value: string) | Event emitted on any value change. |
| selectionChange(source: MdcSelect, index: number, value: string) | Event emitted if user changed the value. |
Selector: mdc-helper-text
| Properties | Description |
|---|---|
| validation: boolean | Help text can be used to provide additional validation messages. |
| persistent: boolean | Help text will always be visible. |
Value: {{ enhanced.value }}
Index: {{ enhanced.getSelectedIndex() }}
Meal selection is required
Value: {{ formOne.value | json}}
Value: {{ demoSelectModel.value }}
Index: {{ select.getSelectedIndex() }}
Touched: {{ demoSelectForm.touched }}
Dirty: {{ demoSelectForm.dirty }}
Control Valid: {{foodForm.controls['favoriteFood'].valid}}
Dirty: {{ foodForm.dirty }}
Valid: {{ foodForm.valid }}
Pristine: {{ foodForm.pristine }}
Touched: {{ foodForm.touched }}
Value: {{ foodForm.value | json }}


My
test
page
I am a button
I am a button
Clicky
I'm like a button
I'm like a button
Some Field
I make UI
,
I make UI eventually
,
Decendent Text
Direct Text
Foo
Bar
Foo
Action
Foo 1
Bar 1
Baz 1
Bar 1
Bar
Action
Foo 2
Bar 2
Baz 2
Bar 2
Baz
Action
Foo 3
Bar 3
Baz 3
Bar 3
out of scroll viewport
out of browser viewport
display none
visibility hidden
aria hidden
^ Setting an element to [aria-hidden="true"] and not hiding it is pretty bad, don't do this, automatic-ui won't find it.
Cool content
Hello
More content
Hello
Cool content
Hello
Cool content
Hello
More content
Hello
Rich text editor