Sprint 3 - Cultural
What is Emotional Intelligence
Emotional intelligence (otherwise known as emotional quotient or EQ) is the ability to understand, use, and manage your own emotions in positive ways to relieve stress, communicate effectively, empathize with others, overcome challenges and defuse conflict. It can be defined by four specific attributes:
Self-management – You’re able to control impulsive feelings and behaviors, manage your emotions in healthy ways, take initiative, follow through on commitments, and adapt to changing circumstances.
Self-awareness – You recognize your own emotions and how they affect your thoughts and behavior. You know your strengths and weaknesses, and have self-confidence.
Social awareness – You have empathy. You can understand the emotions, needs, and concerns of other people, pick up on emotional cues, feel comfortable socially, and recognise the power dynamics in a group or organisation.
Relationship management – You know how to develop and maintain good relationships, communicate clearly, inspire and influence others, work well in a team, and manage conflict.
How is it different to IQ?
IQ relates to academic prowess and relates to the ability to learn and understand and apply information to skills. People with higher IQ can think in abstracts and make connections by making generalizations easier. On the other hand, EQ relates to your emotion and how you can handle your motivations, stress and relationships with others. In a real basic form, you can use the common term, “book smarts vs street smarts”.
Why is Emotional Intelligence (EQ) important?
There are differing perspectives on whether EQ or IQ is more important. Some say that a high IQ will get you through school, a high EQ will get you through life. When working on a project or in the workplace in general, you need to be able to keep motivation up, avoid being overwhelmed and work well with others. It wouldn’t matter how smart you are if you’re too stressed out to work, or if you can’t work effectively in teams. For a long time, IQ was believed to be the ultimate measure for success in careers and life in general, but there are studies that show a direct relation between higher EQ and successful professionals. Though I would argue learning about EQ should be more than just about professional development, but also for your own enlightenment in all aspects of your life.


If a disk array with a large cache and an effective prefetching algorithm is used for the log files, then the preliminary read will only take about 2 milliseconds, and will not otherwise delay the redo write. However, if both the preliminary read and the redo write require physical disk service, there must be an additional delay equivalent to a full rotation of the disk before the write can be serviced.
LGWR needs asynchronous I/O to parallelize writes to multiple log file members (see redo write multiplexing) and to overlap redo writes when transactions are committed in quick succession. Hardware mirroring can be used in preference to redo log multiplexing to avoid serial writes to multiple log file members, and indeed such hardware mirroring is recommended to minimize the CPU cost of redo writes. However, asynchronous I/O is nevertheless needed to overlap consecutive redo writes, because LGWR I/O slaves do not do so consistently. Raw I/O (or Quick I/O) makes kernelized asynchronous I/O possible, whereas otherwise LGWR would have to rely on threaded asynchronous I/O or LGWR I/O slaves.
Partial block writes, I/O fragmentation and synchronous I/O all have a major impact on LGWR's I/O performance, over and above the performance and scalability penalty that buffered I/O carries in any case. However, because LGWR is an Oracle background process and does much of its work in the background, poor LGWR I/O performance might not be noticed except during log file sync waits after commits. This can nevertheless be an important and difficult wait event to tune, particularly in OLTP environments, and the strategy of switching to raw log file I/O has proved to be very effective on many occasions. This strategy can even be used in environments that do not have any facility to backup raw disk, because online log files should not be backed up anyway.
In some instances, poor LGWR I/O performance also results in considerable log buffer space waits despite the use of a large log buffer. This occurs when there is an extended burst of redo generation, and LGWR is just not able to keep up. In such instances switching to raw log file I/O typically eliminates the log buffer space waits immediately, and raises the ceiling on the sustainable rate of redo generation dramatically.
|
© Ixora Pty Ltd. All rights reserved.
03-Apr-2002 |
|


Before Change
with state_kept(self.q_function):
next_qout = self.q_function(batch_next_state)
with state_kept(self.target_q_function):
target_next_qout = self.target_q_function(
batch_next_state)
next_q_max = F.reshape(target_next_qout.evaluate_actions(
next_qout.greedy_actions), (batch_size,))
batch_rewards = exp_batch["reward"]
After Change
class DoublePAL(pal.PAL):
def _compute_y_and_t(self, exp_batch):
batch_state = exp_batch["state"]
batch_size = len(exp_batch["reward"])
if self.recurrent:
qout, _ = self.model.n_step_forward(
batch_state, exp_batch["recurrent_state"],
output_mode="concat")
else:
qout = self.model(batch_state)
batch_actions = exp_batch["action"]
batch_q = qout.evaluate_actions(batch_actions)
// Compute target values
with chainer.no_backprop_mode():
batch_next_state = exp_batch["next_state"]
if self.recurrent:
next_qout, _ = self.model.n_step_forward(
batch_next_state, exp_batch["next_recurrent_state"],
output_mode="concat")
target_qout, _ = self.target_model.n_step_forward(
batch_state, exp_batch["recurrent_state"],
output_mode="concat")
target_next_qout, _ = self.target_model.n_step_forward(
batch_next_state, exp_batch["next_recurrent_state"],
output_mode="concat")
else:
next_qout = self.model(batch_next_state)
target_qout = self.target_model(batch_state)
target_next_qout = self.target_model(batch_next_state)
next_q_max = F.reshape(target_next_qout.evaluate_actions(
next_qout.greedy_actions), (batch_size,))
batch_rewards = exp_batch["reward"]


Containing:
em containing html
strong containing html
em containing html
strong containing html
Contained:
html containing em
html containing strong
html containing em
html containing strong
Intertwined:
*em intertwined* with html
em intertwined *with html*
**strong intertwined** with html
strong intertwined **with html**
_em intertwined_ with html
em intertwined _with html_
__strong intertwined__ with html
strong intertwined __with html__


Lesson 22 - Bump Mapping
Introduction
This lesson is an introduction to bump mapping. Bump mapping was invented by Jim Blinn in 1978 as part of his work for the visualization of the Voyrager space-probe project. Bump mapping is a technique in computer graphics for simulating bumps and wrinkles on the surface of an object. This is achieved by perturbing the surface normals of the object and using the perturbed normal during lighting calculations. The result is an apparently bumpy surface rather than a smooth surface although the surface of the underlying object is not changed. (We'll look at actual height-mapping in lesson 34).
How Does It Work?
Three.js uses the height map for simulating the surface displacementwhich yields the modified normal. How does this work? Before a lighting calculation is performed for each visible point (or pixel) on the object's surface:
- Look up the height in the heightmap that corresponds to the position on the surface
- Calculate the surface normal of the heightmap
- Combine the surface normal from step two with the true ("geometric") surface normal so that the combined normal points in a new direction
- Calculate the interaction of the new "bumpy" surface with lights in the scene using, typically, the Phong reflection model
But how is the "height map" calculated? The answer is that the height map is a second texture or image (usually monochrome) whose values are treated a range of values.
or example, the original image (there are now two you can switch between) was
The height map for that image is:
The lighter the tone, the "lower" it is simulated as and vice versa.
Using a Bump Map
The actual code is very simple. We initialize the GFXScene same as always. Then the bump mapping is very simple as three.js does all the work:
function makeMesh( bumped, image ) {
gfxScene.remove(mesh);
var geom = new THREE.CubeGeometry( 2, 2, 2 );
var texture = new THREE.ImageUtils.loadTexture("images/" + image + ".jpg");
var bumpName = "images/" + image + "-bump.jpg";
var bump = bumped === true ? new THREE.ImageUtils.loadTexture(bumpName) : null;
var scale = bumped === true ? 0.2 : 0;
var mat = new THREE.MeshPhongMaterial( { map:texture, bumpMap:bump, bumpScale:scale } );
mesh = new THREE.Mesh( geom, mat );
gfxScene.add(mesh);
}
We create a 2-unit cube centered on the origin. First load the texture, then check if "bumping" is currently requested (pressing the 'b' key, default is true). If bumping is on, then load the "bump" texture. Then create the material, passing in the bump-map if requested. The value of the scale is arbitrary, but large values don't really make a difference.
And that's it! Click on this link to see the actual rendered demo in all it's bumpy glory!
As always, the original sources are on github here.


18 Quotes by John Lennon That Still Strike a Chord in Our Hearts
The world lost John Lennon back in 1980 but his music and poetry are still living in our hearts. His words about love, life, and peace he left for us decades ago still sound relevant as they ever were and help us believe in our better selves and a better future.
Here at Bright Side, we want to remember this ingenious musician and great dreamer by sharing his most powerful quotes with you.
- We live in a world where we have to hide to make love, while violence is practiced in broad daylight.
- When I went to school, they asked me what I wanted to be when I grew up. I wrote down “happy”. They told me I didn’t understand the assignment, and I told them they didn’t understand life.
- Reality leaves a lot to the imagination.
- It matters not who you love, where you love, why you love, when you love or how you love, it matters only that you love.
- If everyone demanded peace instead of another television set, then there’d be peace.
- Declare it. Just the same way we declare war. That is how we will have peace...we just need to declare it.

- Trying to please everybody is impossible — if you did that, you’d end up in the middle with nobody liking you. You’ve just got to make the decision about what you think is your best, and do it.
- I believe in everything until it’s disproved. So I believe in fairies, the myths, dragons. It all exists, even if it’s in your mind. Who’s to say that dreams and nightmares aren’t as real as the here and now?
- If someone thinks that peace and love are just a cliché that must have been left behind in the ’60s, that’s a problem. Peace and love are eternal.
- Only by trying on other people’s clothes do we find what size we are.
- Happiness is just how you feel when you don’t feel miserable.
- We’ve got this gift of love, but love is like a precious plant. You can’t just accept it and leave it in the cupboard or just think it’s going to get on by itself. You’ve got to keep watering it. You’ve got to really look after it and nurture it.
- When you do something noble and beautiful and nobody noticed, do not be sad. For the sun every morning is a beautiful spectacle and yet most of the audience still sleeps.
Which of these quotes echo in your soul the most? Do you think John Lennon’s words are still relatable to the world we’re living in today?
Preview photo credit Fred Ross / Getty Images


| Package | Description |
|---|---|
| com.opengamma.strata.market.curve.node |
Curve nodes.
|
| com.opengamma.strata.measure.index |
Calculation functions for index products.
|
| com.opengamma.strata.pricer.curve |
Provides the ability to calibrate curves.
|
| com.opengamma.strata.pricer.index |
Calculators for products based on rate indices, such as Short Term Interest Rate futures (STIRs).
|
| com.opengamma.strata.product.index |
Entity objects describing contracts based on rate indices.
|
| com.opengamma.strata.product.index.type |
Conventions and templates to aid the construction of rate index products.
|
| Class and Description |
|---|
| IborFutureTrade
A trade representing a futures contract based on an Ibor index.
|
| ResolvedIborFutureTrade
A trade in a futures contract based on an Ibor index, resolved for pricing.
|
| Class and Description |
|---|
| IborFutureTrade
A trade representing a futures contract based on an Ibor index.
|
| ResolvedIborFutureTrade
A trade in a futures contract based on an Ibor index, resolved for pricing.
|
| Class and Description |
|---|
| ResolvedIborFutureTrade
A trade in a futures contract based on an Ibor index, resolved for pricing.
|
| Class and Description |
|---|
| ResolvedIborFuture
A futures contract based on an Ibor index, resolved for pricing.
|
| ResolvedIborFutureOption
A futures option contract based on an Ibor index, resolved for pricing.
|
| ResolvedIborFutureOptionTrade
A trade in an option on a futures contract based on an Ibor index, resolved for pricing.
|
| ResolvedIborFutureTrade
A trade in a futures contract based on an Ibor index, resolved for pricing.
|
| Class and Description |
|---|
| IborFuture
A futures contract based on an Ibor index.
|
| IborFuture.Builder
The bean-builder for
IborFuture . |
| IborFuture.Meta
The meta-bean for
IborFuture . |
| IborFutureOption
A futures option contract, based on an Ibor index.
|
| IborFutureOption.Builder
The bean-builder for
IborFutureOption . |
| IborFutureOption.Meta
The meta-bean for
IborFutureOption . |
| IborFutureOptionSecurity
A security representing a futures option contract, based on an Ibor index.
|
| IborFutureOptionSecurity.Builder
The bean-builder for
IborFutureOptionSecurity . |
| IborFutureOptionSecurity.Meta
The meta-bean for
IborFutureOptionSecurity . |
| IborFutureOptionTrade
A trade representing an option on a futures contract based on an Ibor index.
|
| IborFutureOptionTrade.Builder
The bean-builder for
IborFutureOptionTrade . |
| IborFutureOptionTrade.Meta
The meta-bean for
IborFutureOptionTrade . |
| IborFutureSecurity
A security representing a futures contract based on an Ibor index.
|
| IborFutureSecurity.Builder
The bean-builder for
IborFutureSecurity . |
| IborFutureSecurity.Meta
The meta-bean for
IborFutureSecurity . |
| IborFutureTrade
A trade representing a futures contract based on an Ibor index.
|
| IborFutureTrade.Builder
The bean-builder for
IborFutureTrade . |
| IborFutureTrade.Meta
The meta-bean for
IborFutureTrade . |
| ResolvedIborFuture
A futures contract based on an Ibor index, resolved for pricing.
|
| ResolvedIborFuture.Builder
The bean-builder for
ResolvedIborFuture . |
| ResolvedIborFuture.Meta
The meta-bean for
ResolvedIborFuture . |
| ResolvedIborFutureOption
A futures option contract based on an Ibor index, resolved for pricing.
|
| ResolvedIborFutureOption.Builder
The bean-builder for
ResolvedIborFutureOption . |
| ResolvedIborFutureOption.Meta
The meta-bean for
ResolvedIborFutureOption . |
| ResolvedIborFutureOptionTrade
A trade in an option on a futures contract based on an Ibor index, resolved for pricing.
|
| ResolvedIborFutureOptionTrade.Builder
The bean-builder for
ResolvedIborFutureOptionTrade . |
| ResolvedIborFutureOptionTrade.Meta
The meta-bean for
ResolvedIborFutureOptionTrade . |
| ResolvedIborFutureTrade
A trade in a futures contract based on an Ibor index, resolved for pricing.
|
| ResolvedIborFutureTrade.Builder
The bean-builder for
ResolvedIborFutureTrade . |
| ResolvedIborFutureTrade.Meta
The meta-bean for
ResolvedIborFutureTrade . |
| Class and Description |
|---|
| IborFutureTrade
A trade representing a futures contract based on an Ibor index.
|
Copyright 2009-Present by OpenGamma Inc. and individual contributors
Apache v2 licensed
Additional documentation can be found at opengamma.github.io/StrataDocs.


This demo shows how to filter values depending on the selection of the Custom element RangeSelector.
Major scientific discoveries in selected period:
Select period:


Contents
- 1. Introduction
- 4. Fundamentals
- 4.1 Naming -- The Foundation
- 4.2 Directory Objects
- 4.3 URLs and Composite Names
- 4.4 Events
-
- 5. Overview of the
Interface
- 5.1 The Naming Package -- javax.naming
- 5.1.1 Contexts
- 5.1.2 The Initial Context
- 5.1.3 Names
- 5.1.4 Bindings
- 5.1.5 References
- 5.1.6 Referrals
- 5.2 The Directory Package --
javax.naming.directory
- 5.2.1 Directory Objects
- 5.2.2 Attributes
- 5.2.3 Directory Objects as Naming Contexts
- 5.2.4 The Initial Context
- 5.2.5 Searches
- 5.2.6 Schema
- 5.3 The Event Package -- javax.naming.event
- 5.3.1 Naming Events
- 5.3.2 Naming Listeners
- 5.3.3 Event Registration and Deregistration
- 5.3.4 Exception Handling
- 5.4 The LDAP Package -- javax.naming.ldap
- 5.4.1 Extended Operations
- 5.4.2 Controls
- 5.4.3 The Initial Context
- 5.4.4 Unsolicited Notifications
-
- 6. Configuration
- 6.1 Environment Properties
- 6.2 Context Environment
- 6.3 Resource Files
- 6.4 Application/Applet-scope Standard JNDI
Properties
- 6.5 How the Environment Properties are Set
- 6.6 Modifications to the Environment
-
- 7. Scenarios
- 7.1 User authentication
- 7.2 Electronic Mail
- 7.3 Databases
- 7.4 Browsing
- 7.5 Network Printing
-
- 8. Security
Considerations
- 8.1 JNDI Classes
- 8.2 Security Model
- 8.3 Access To Servers
- 8.4 Sharing Context Handles
- 8.5 Context Environment
- 8.6 Class Loading
- 8.7 Serializable Objects
- 8.8 Responsibilities of Service Providers
-
- 9. Design Choices
- 9.1 Separation of Interfaces into Context and
DirContext
- 9.2 Separation of JNDI into Different Functional
Packages
- 9.3 Separation of Client APIs and Service Provider
Interfaces
- 9.4 Multiple methods for listing Context
- 9.5 Support for Federation
- 9.6 DirContext versus DirObject
- 9.7 Support for Schemas
- 9.8 Overloaded Methods in Context and DirContext
- 9.9 Reference and Referenceable
- 9.10 Automatically Turning References into Objects
Appendix A: JNDI Standard Environment
Properties
Appendix B: Examples for LDAP Programmers
Appendix
C: Legend for Class Diagram
CONTENTS | PREV | NEXT


hungo
Find new restaurants
from food images.
1. Choose a file
2. Hit submit
3. Hit identify
Voila!
Identify
{% block javascript %} {% endblock %}


public class AssociationIntSumFacetRequest extends FacetRequest
FacetRequest.ResultMode
,
FacetRequest.SortBy
,
FacetRequest.SortOrder
DEFAULT_DEPTH
,
DEFAULT_RESULT_MODE
,
DEFAULT_SORT_BY
| Constructor and Description |
|---|
AssociationIntSumFacetRequest
(
CategoryPath
path,
int num)
Create an integer association facet request for a given node in the
taxonomy.
|
| Modifier and Type | Method and Description |
|---|---|
Aggregator
|
createAggregator
(boolean useComplements,
FacetArrays
arrays,
IndexReader
reader,
TaxonomyReader
taxonomy)
Create an aggregator for this facet request.
|
double
|
getValueOf
(
FacetArrays
arrays,
int ordinal)
Return the value of a category used for facets computations for this
request.
|
boolean
|
requireDocumentScore
()
Indicates whether the results of this request depends on each result document's score
|
boolean
|
supportsComplements
()
Indicates whether this facet request is eligible for applying the complements optimization.
|
clone
,
createCategoryListIterator
,
createFacetResultsHandler
,
equals
,
getCategoryPath
,
getDepth
,
getNumLabel
,
getNumResults
,
getResultMode
,
getSortBy
,
getSortOrder
,
hashCode
,
setDepth
,
setNumLabel
,
setResultMode
,
setSortBy
,
setSortOrder
,
toString
public AssociationIntSumFacetRequest( CategoryPath path, int num)
public Aggregator createAggregator(boolean useComplements, FacetArrays arrays, IndexReader reader, TaxonomyReader taxonomy) throws IOException
FacetRequest
createAggregator
in class
FacetRequest
useComplements
- whether the complements optimization is being used for current
computation.
arrays
- provider for facet arrays in use for current computation.
reader
- index reader in effect.
taxonomy
- reader of taxonomy in effect.
IOException
public double getValueOf( FacetArrays arrays, int ordinal)
FacetRequest
getValueOf
in class
FacetRequest
arrays
- provider for facet arrays in use for current computation.
ordinal
- an index into the count arrays now in effect in
arrays
. E.g., for ordinal number
n
, with
partition, of size
partitionSize
, now covering
n
,
getValueOf
would be invoked with
idx
being
n
%
partitionSize
.
public boolean supportsComplements()
FacetRequest
supportsComplements
in class
FacetRequest
public boolean requireDocumentScore()
FacetRequest
requireDocumentScore
in class
FacetRequest


SF Housing Resource Guide
San Francisco Rental Assistance Program Information Line at<PHONE_NUMBER>
Public Housing and Housing Choice Vouchers (Section 8)
SF HOUSING To apply for Section 8, visit your local Public Housing Agency (PHA). Some PHAs have long waiting lists, so you may want to apply at more than one PHA. Your PHA can also give you a list of locations at which your voucher can be used.
Shelters / Cheap Accomodations
Traveler’s hostels are generally cheaper, temporary shared accomodations; you need to have a passport from another country or out-of-state ID. To search for a hostel, check it out here
Adult Shelter System provides short‐term emergency shelter for up to 90 days to adults experiencing homelessness in San Francisco. The current adult shelter system has 1,203 shelter beds for adults over the age of 18. To access shelter, visit this link and create a profile on the shelter reservation sites provided:
emergency shelter info
Dolores Street Community Services serves the Mission and Castro neighborhoods with a variety of programs, including shelter, housing and immigration services.
dscs.org
938 Valencia St., San Francisco<PHONE_NUMBER>
Resources for homeless and at-risk youth in san francisco
Larkin Street Youth Services:
larkinstreetyouth.org
HQ and Administration
134 Golden Gate Avenue
San Francisco, CA 94102
Phone:<PHONE_NUMBER>
Larkin Street provides a robust continuum of wraparound care to help young people get off the streets for good, including outreach/engagement services, health/wellness, housing, education and employment. All of our services are tailored to meet young people where they’re at, making our programs easy to get into and hard to fall out of, with the ultimate goal of helping young people develop the knowledge and skills needed for independent adulthood. For a list of programs and resources we can help you access, click here
Need help now? Call<PHONE_NUMBER>
For Homeless Youth in the Haight/Ashbury neighborhood:
Homeless Youth Alliance
For Homeless and At-Risk Families:
Compass Family Services
compass-sf.org
Hamilton Families
Hamilton Families is San Francisco’s leading service provider to families experiencing homelessness, with an array of highly effective programs at sites in San Francisco and Oakland. Our Housing and Family Services department—encompassing the Shelter Program, Transitional Housing Program, Housing Services, and Real Estate programs—provides the best-in-class housing services experience to families in our programs.
hamiltonfamilies.org/programs
For Homeless and At-Risk Seniors:
Curry Senior Center
Curry Senior Center provides health and social services to homeless and low-income San Francisco seniors.


itsa-react-filedownloadbutton as a button:
itsa-react-filedownloadbutton as a anchor-element (this.props.buttonLook = false):


I have a question about Apache authentication, which I'm hoping someone will be able to help me with.
I want a subversion repository where /home is less restrictive than anyplace else on the system. That is, I give many people access to /home, where they can make branches (of anything in the system) and drop experiments and whatnot.
But I can't figure out any way to relax permissions on a subdirectory. It's driving me nuts. I even tried hacks like <Location ~ "/(every|path|but|home)"> with a Require group commit and <Location /> with Require valid-user, but it just allowed anyone to commit anywhere. Unlike RewriteRule it seems like Location doesn't allow the prefixing of regular expressions with ! to indicate negation (so I can't use <Location ~ "!^/home">).
Any ideas?
Which ordering do you have in the Order directive?
You will need to write a stanza for all directories at the level for which you want relaxed permissions. A brief example:
consider the tree bar,baz,qux in foo using groups: elect and world
Order Allow Deny <Directory foo/bar> Require group elect </Directory> <Directory foo/baz> Require group world </Directory> <Directory foo/qux> #this lets anyone in!! it is wrong Require valid-user Require group elect </Directory>I find that when it comes to securing resources like this explicit is better than implicit ;-)
# Larry
If it's a Subversion repository: Why not use Subversion's own authorization feature? It'll easily accept what you want.
# Simon Percivall
I'd forgotten about that, I'll have to give that a look again.
# Ian Bicking
# Peter Fein
See: http://httpd.apache.org/docs/2.2/mod/core.html#require
Removing controls in subdirectories
The following example shows how to use the Satisfy directive to disable access controls in a subdirectory of a protected directory. This technique should be used with caution, because it will also disable any access controls imposed by mod_authz_host.
<Directory /path/to/protected/> Require user david </Directory> <Directory /path/to/protected/unprotected> # All access controls and authentication are disabled # in this directory Satisfy Any Allow from all </Directory>
# philc
See: http://httpd.apache.org/docs/2.2/mod/core.html#require Section: Removing controls in subdirectories
# philc


Go to the Video List
IF YOU NEED SOME CONTACT WITH ERRORS. PLEASE FEEL TO CONTACT BLUE'ITY CLIENT TEAM (BROKEN)
Go to the video list.


| Category | :Dance | |
| Last Date | : | 01-05-2020 |
| Duration | : | 3 - 4 minutes |
RULES TO BE FOLLOWED
1. Perform movements that demonstrate a line of symmetry with a partner.
2.Create an original performance identical as mirror image in motion between two individuals
3.Share it as many times as you can on given social media Facebook page,
4.No limit to the number of shares you do.
5.Each share increases your chances to win!
6.The number of likes determines the winner of that event
| Category | : | Coding |
| Date | : | 01-05-2020 |
| 1 | : | Blind Typing |
| 2 | : | Debugging |
Show your Typing and Coding Skills
(*One person can only participate in one of this program
If participants are less than three the competition will be dropped)
| Category | : | Art |
| Last Date | : | 01-05-2019 |
| Time period/td> | : | 3 to 4 minutes |
The language of feelings that music gives happiness when heard in the right time with right spirit is an awesome moment. Now its time to express your singing talent with Smule app to win fabulous prizes
The language of feelings that music gives happiness when heard in the right time with right spirit is an awesome moment.
Now its time to express your singing talent with Smule app to win fabulous prizes
How to Enter
1. Create an original performance singing any song of your choice or choose an existing one with Smule app in video mode.
2. Share it as many times as you can on given social media Facebook page,
3. No limit to the number of shares you do.
4. Each share increases your chances to win!
5. The number of likes determines the winner of that event
Timeline and Selection Process
Performance for 3 to 4 minutes duration of submissions will be accepted for review from April 22nd , 2020 (7.00 a.m) Indian Standard Time to May 01st , 2020 till 23:55 IST.
The three winning performances will be announced by May 5th, 2020.
| Category | : | Singing |
| Date | : | 01-05-2020 |
Mappila Paattu form an integral part of the heritage of Malayalam literature today and is regarded as the most popular branch of Malayalam literature, enjoyed by all Malayali communities. Show your talent along with ur friends in Malayalam language with Rhythm and Bhavam to conquer your reward.
1. Create an original performance singing any song of your choice or choose an existing one with Smule app in video mode.
2. Share it as many times as you can on given social media Facebook page,
3. No limit to the number of shares you do
4.Each share increases your chances to win!
5. The number of likes determines the winner of that event
1st Prize: 501
| Category | : | Acting |
| Date | : | 01-05-2020 |
COMING SOON
1st Prize:
| Category | : | Arts |
| Date | : | 01-05-2020 |
| Duration | : | 3-4 minutes |
| Category | : | Arts |
| Date | : | 01-05-2020 |
| Duration | : | 3-4 minutes |
| Category | : | Art |
| Date | : | 29-03-2019 |
| Registration Fee | : | Rs.50/- per head |
| Category | :Dance | |
| Last Date | : | 01-05-2020 |
| Duration | : | 3 - 4 minutes |
RULES TO BE FOLLOWED
1. Perform movements that demonstrate a line of symmetry with a partner.
2.Create an original performance identical as mirror image in motion between two individuals
3.Share it as many times as you can on given social media Facebook page,
4.No limit to the number of shares you do.
5.Each share increases your chances to win!
6.The number of likes determines the winner of that event
| Category | : | Painting |
| Date | : | 01-05-2020 |
Coming Soon
Mirror Dance
Mirror Dance
Know More
Cod-a-Thon
Cod-a-Thon
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Solo Song
Solo Song
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Sync And Dance Solo
Sync And Dance Solo
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Tick Tocker
Tick Tocker
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Bottle Painting
Bottle Painting
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Mappila Pattu
Mappila Pattu
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Mono Act
Mono Act
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Mimicry
Mimicry
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Natural Photography
Natural Photography
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Fill The portrait
Fill The portrait
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Assistant Professor
HOD of CSE


Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.
We’re looking for a Data Scientist to join Team Snapchat! Working closely alongside the engineering, product design, and product management teams, you will enjoy creating inventive, data-based approaches to solving difficult business problems. Working from our New York, NY office, you’ll work to transform business questions into data analysis.
What you’ll do:
Partner with Product and Engineering and apply your expertise in quantitative analysis to create and scale insights
Create testable hypotheses, then test them
Effectively report your insights via visualization and dashboards that you create
Help business and engineering partners make decisions based on data
Minimum qualifications:
Bachelor’s degree in math, statistics, computer science, or other quantitative field
3+ years of experience in quantitative analysis & data science or a related field
Fluency in SQL or other big data querying language
Preferred qualifications:
Strong statistical knowledge
Master’s degree in math, statistics, computer science, or other quantitative field
Experience in a product-focused role at a social media and/or mobile technology company
Experience with analytical packages such as SciPy or R
Experience with data pipeline workflow monitoring and scheduling platforms (e.g., Airflow)
Experience with a programming language, such as Python
Ability to initiate and drive projects to completion with minimal guidance
Ability to communicate the results of analyses in a clear and effective manner to a senior audience
Machine learning skills


In 2013 I travelled from Buenos Aires to Patagonia to Lima to Machu Pichu to the Amazones to Colombia to San Fransisco. The trip lasted six months and I worked for two days a week while I was travelling over whatever wifi I could find. I was an independant contractor and lecturer and I still had some clients from Holland.
There are a few things I learned from this;
-
It has never been easier to travel and work. If you need a place to live for a month you can just check up on airbnb and if you need a more professional place to work from then there's plenty of flexible workplaces. You can communicate code with basecamp, call people on skype and you can use git to keep your source code in check.
-
Tim Ferris actually had a point. I only worked for two days a week and that was enough to live the good life in South America. Earning euro's and spending pesos gives you a lot of purchasing power.
-
If you are a developer and want honest travel advice your best chance of finding it is at stackexchange and reddit. The sites themselves rock, the travel sections are no exception.
-
Wifi can both fail and work at suprising places. One town can have 10 Mb/s speeds and the town 10 miles further might have no internet at whatsoever. The wifi in the amazones was better than the wifi in Lima. I remember sitting on a couch in the hostel next to a monkey. As I was feeding him a banana I was pushing commits to the github repo. Patagonia had the worst wifi.
-
You learn a lot from coding if there is no wifi. Instead of relying on stackoverflow for everything you don't know you learn think for yourself again. You find the need to save docs beforehand to fully grasp a library instead of just copying snippets of others. This prevents some intellectual lazyness and teaches you to use snippet collector.
-
Coding is awesome. Unfortunately certain destinations don't facilitate this. A place can be amazing to be a tourist in but horrible to be working from. That surfing spot needs to have wifi, that party city needs to have some stability during the week and that in the middle of nature in the middle of nowhere place becomes a risky work location should hardware fail.
-
If you are working on your own there aren't many collegues that you can learn from. Some cities offer meetups so you can talk to like minded professionals but it's different. There seems to be a small shortage of like minded developers who are pushing limits that travel the world. The people that you learn from are usually older, have a wife and kids and are probably not travelling the world.
-
Learning a computer language and learning a natural language is a similar thing. It gets easier the more and more you use it and you will only really start to understand it if you are forcibly required to do so. A deadline really helps you understand that library in the same fashion that that really cute Argentinian girl motivates you to improve your Spanish.
-
You cannot start a company when teammembers are not sitting next to eachother. It is a nice dream but not a reality in my mind. In early stages of building a startup too many things change too often. You cannot afford ambiguity in the earliest stage. Once a platform is stable however, it would definately be do-able.
-
The relationship between employee and employer requires a huge amount of trust at this distance. The guy on the other side trusts that you will do work for him and you need to trust him that the money will be paid. Not all my clients paid on time, but the ones that did are gained my trust just as I gained theirs.
For me the trip would have been worse if I didn't bring work with me. It was a trial to see if coding was going to be my trade or if something else would make more sense. It was less of a vacation and more of a pilgrimage.
I can recommend it to anyone, but I cannot imagine anyone doing this for their entire life.


Daron Schmit
Daron is a 26 year-old Google Tech (NG normal guy) who lives in Minneapolis. He went to school for a few years at the University of Minnesota where he studied Chemistry, Physics, and Computer Science. He stopped at the tail end of 2016 when he ran out of gas after some real tough personal stuff.
But he's back now! Taking online classes and shooting for the stars! He's dug his heels in at the job he had, got promoted, stuck around for a few years, then left for his current job! He likes what he's doing right now, but is looking to polish off his education and get a shiny new paper for the trouble!
For fun, Daron likes to run Dungeons and Dragons 5e or play whatever Tabletop his friends are Game Mastering. He and his buddy Greg publish a worldbuilding podcast! How neat is that?
Otherwise Daron just likes to laze about the house and watch movies, hang out with his girlfriend, play fetch with the dog, and go on vacations when the world isn't ending.


👋🏼 Hello! Thank you for stopping by!
😀 Please note that this is the fourth in a series of articles I am writing on Cognitive Biases. If you haven’t read the other three yet, I’d recommend you read them first. Links below:
Let’s get started with this one.
The geyser story
Last year, we moved into our newly built house in Hyderabad. Nothing fancy, just a decent one with a few more comforts compared to the old house. For one, the new house had a facility for geyser whereas the old one didn’t.
One of my school friends, Naresh, visited us when we were getting the geysers fitted. We had ordered Havells geysers from Amazon. They seemed fine, the power rating, the warranty, the make of the product and the price — they fit our requirement.
What amazed me was what happened after that. When Naresh wanted to buy geysers for his home, he too ordered the ‘Havells geysers from Amazon’. They performed well and were energy efficient, after all, and it made sense to order the same product he thought. All he did was, he searched for Havells geysers on Amazon, placed the order and they got delivered. Only, there was one problem — the geyser did not fit the height in his bathroom! He did not check that, the geyser did not fit his requirements. And he had to replace it!
So, what happened here? Naresh was presented with a similar situation as I. He just reproduced what I did as if it was the natural thing to do. In fact, it sounds fairly simple too — When I wanted to have a geyser, I ordered a Havells from Amazon and when Naresh wanted to have a geyser, he too ordered a Havells from Amazon, because it worked for me. He took my geyser as an example and applied it in his judgement!
I realised, when we are in a situation where we are supposed to decide if something works or not, we most often think of the situations in the past and identify what had worked already and reproduce the same. Seems like a fully scientific approach, right? We are using historic data to predict what needs to be done in the future. However, there is one catch. A big one.
You see, we, humans, are not computers. Our ability to recollect data and information and process it is limited. We do not see the entire context as clearly. Our natural tendency is to process only that information that is very vivid in our mind. And whatever is vivid doesn’t necessarily mean that it is sufficient and that could lead to some potential errors. So, it requires quite an additional effort to actually process the information in its entirety to avoid errors.
Speaking in statistical terms, the sample size or the number of data points we could recollect and process at a time is very minimal. Though the capacity of our brain is unbelievably large, it is just not a natural thing for us to process such larger portions in a very short span of time. Because our life demands us to make decisions all the time, we tend to use the references which are very fresh in our memory to arrive at decisions rather quickly. And if we make the decisions based on the ‘notions’ derived from such a small sample (of memories), we are prone to what is called a Type II error in statistics. It means that due to the small sample size, we conclude that our hypothesis is true, when, in fact, the hypothesis is not true. That means, if we are given a larger number of samples (memories), we would have arrived at a different conclusion, after all.
In the behavioural sciences world, the phenomenon of arriving at conclusions based on the examples we can immediately recollect is called the ‘Availability Heuristic.’
Availability Heuristic
We rely on immediate examples that come to our mind while making judgements.
The Shawshank Redemption
Sometime back, a group of our friends went for a drive outside of the city. There were a bunch of people whom I met for the first time and made some new friends too. As I was discussing with a girl, she asked me to suggest some good movies to watch. Without any further questions or thoughts, I started to blurt out my favourite movie names, movies which I felt were good — the typical must-watch list — which included The Shawshank Redemption, Shutter Island, The Schindler’s List, The Godfather, some of Nolan’s, and some newly released movies on Netflix and Prime.
Little did I try to actually find out what her interests were or what she liked to watch before suggesting anything! And as it turned out, she watched The Shawshank Redemption and did not find it as compelling as I thought it would! I couldn’t understand why would someone not like such a beautiful movie!
What I did there — which, I think, most of you also do — was resorting to a list of movies which I had in my mind, ready as examples to be given to anyone who wanted to watch a movie. The examples were ready, they only needed an avenue to come out and these movies had to be good for everybody, I thought. I was wrong.
Wondering why I am making such a fuss about just watching a movie?
Allow me, I am trying to arrive at something here, will you?
Some other examples
You are chilling out with your friends. After a week full of busy office work, you finally get to relax! If a discussion comes up whether it is the government’s failure to control Covid or if it was people’s negligence — which side would you take and whom do you blame? I am sure you won’t do a root cause analysis to arrive at this conclusion. Some would probably quote a few instances where the government was absolutely foolish and some would say that the public behaved irresponsibly and brought it on to themselves. Or some argue for both sides.
In any case, all these discussions are drawn from the examples you and your friends can recollect. But, how good are those examples to actually validate the blame? They are too subjective to even compare and say that one stands way over the above, but our mind forms some heuristics to do this comparison. It somehow can reduce this hugely complex problem to a set of a few examples, and you don’t realise that. You don’t realise that your notions and conclusions can be grossly inaccurate.
When posed with a situation of ‘why is India not doing well?’, you tend to recollect examples of superficial things, like the population, literacy, pollution, unemployment among others which are very clear in your memory, of which you have an example or two to present as an argument to validate your views. But you don’t realise that these are not sufficient to establish your argument. These are only the things that are available to your memory, to state as examples. They are not sufficient.

- Which restaurant to go to for dinner? — ‘Where did we go last time?’
- What food to order? — ‘What did we order last time, either order the same thing or order anything other than that?’
- Want to buy a new hair straightener? — ‘Which brand’s Ad did I see recently?’
- Feeling lazy to choose what to wear to the office? — ‘Which dress gave me good compliments from a bunch of people?’
- Is he a good guy? — ‘What did my friend tell me about him?’
- Is this investment worth it? — ‘Did it work for others I know?’
So, what’s the problem with this, anyway?
Wouldn’t you curse Netflix if it only shows you video recommendations based on just the recent browsing history and not considering all your older watch history? Wouldn’t that be irritating? Wouldn’t you be annoyed at how lame the recommendations are? What you like to watch cannot just be based on one day’s activity, right?
Similarly, just like how Netflix’s recommendation system works, you too should not judge anything or anyone based on one or two examples that come to your mind.
Let’s look at a few more examples that can take a hit on your pocket straight away. Maybe, then you’d realise the importance ;)
It was the August of 2020. If you follow the world of commodities, you would know that the gold prices hit an all-time high! Many of my friends had bought gold; gold seemed to be a good investment, after all. However, one friend, unfortunately, saw this trend. He badly wanted to invest his money and even asked me for better ways of investment — I couldn’t help as I am no good — So, when he saw that others already made good profits from gold, he wanted to do just that! He bought ₹2,00,000 worth of gold at a whopping ₹5,600/gram! That’s it… Bam! As you must be guessing, the prices fell from there… He lost ₹20,000 in one day and is still hoping the price to climb up. But hey, the current price is nowhere near that point!
Oh, wait! This happened pretty recently too… Does Doge strike a chord?
Just because you have vivid examples of others who made profits from a particular investment, you cannot judge that it is going to be good for you too, right? By looking at an example just as an example without the constraints and the context it is operating in, you cannot make a correct judgement.
They say, information is wealth, but ensure that you have the complete information, not just a few examples to suit your narration.
Hmm. Gotcha.
Why do we have this bias, anyway?
All cognitive biases are based on the fact that our brain is lazy and doesn’t want to do any work unless necessary. That it wants to waste as few resources as possible and consume lesser and lesser energy. And use it only when needed, in the best possible way. However, for the brain to take the best possible way and use the resources in an efficient way we have to train it! But we don’t do that very often, do we?
Whenever there is a need to process information, the mind looks for the easiest possible way to do it. Of the many ways and shortcuts which the mind takes — I discussed a few of these in my previous articles Confirmation Bias and IKEA effect — finding a similar example for comparison is probably more qualified yet an easier option.
When you judge someone or something, you automatically scan for a benchmark — a benchmark in that category or in that field or in that country or in that region or the community or in that era. Anything that could be used to form some notion about whether this someone or something is good in comparison with the immediate examples that occur to you, that you could recollect.
But that’s not how judgements are supposed to be made — read my article on Fundamental Attribution Error where I talk about how judgements should usually be made.
So, how to avoid falling into these pitfalls?
- Try and avoid getting into ‘urgent’ situations. Give your mind enough time and resources to take a calculated decision. This could be done by avoiding getting into ‘urgent’ situations as much as possible.
- Do research. When you know that you just have one example which you are using to conclude, look out for more examples. Look out for more data points. Look out for more evidence. Do not decide straight off the bat.
- Discuss and deliberate. Many times we do not know whether it came from one example or multiple data points. We do not know whether our choice is the best one or not. It is safe to discuss and deliberate on your choices with others whom you trust.
Have any other suggestions to avoid these pitfalls? Please comment them below.
Thank you for reading! 🙏🏼
👍🏼 ➡ If you liked it, please share it with others who might find it interesting!
💬 Also, please leave your comment or feedback below.


{% extends "horizon/common/_modal_form.html" %} {% load i18n %} {% block modal-body-right %}
{% trans "Edit the user's details, including the Primary Project." %}


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Image Segmentation¶
Image segmentation is the task of labeling the pixels of objects of interest in an image.
In this tutorial, we will see how to segment objects from a background.
We use the coins
image from skimage.data
. This image shows
several coins outlined against a darker background. The segmentation of
the coins cannot be done directly from the histogram of grey values,
because the background shares enough grey levels with the coins that a
thresholding segmentation is not sufficient.
>>> from skimage import data
>>> from skimage.exposure import histogram
>>> coins = data.coins()
>>> hist, hist_centers = histogram(coins)
Simply thresholding the image leads either to missing significant parts of the coins, or to merging parts of the background with the coins. This is due to the inhomogeneous lighting of the image.
A first idea is to take advantage of the local contrast, that is, to use the gradients rather than the grey values.
Edge-based segmentation¶
Let us first try to detect edges that enclose the coins. For edge
detection, we use the Canny detector of skimage.feature.canny
>>> from skimage.feature import canny
>>> edges = canny(coins/255.)
As the background is very smooth, almost all edges are found at the boundary of the coins, or inside the coins.
>>> from scipy import ndimage as ndi
>>> fill_coins = ndi.binary_fill_holes(edges)
Now that we have contours that delineate the outer boundary of the coins,
we fill the inner part of the coins using the
ndi.binary_fill_holes
function, which uses mathematical morphology
to fill the holes.
Most coins are well segmented out of the background. Small objects from
the background can be easily removed using the ndi.label
function to remove objects smaller than a small threshold.
>>> label_objects, nb_labels = ndi.label(fill_coins)
>>> sizes = np.bincount(label_objects.ravel())
>>> mask_sizes = sizes > 20
>>> mask_sizes[0] = 0
>>> coins_cleaned = mask_sizes[label_objects]
However, the segmentation is not very satisfying, since one of the coins has not been segmented correctly at all. The reason is that the contour that we got from the Canny detector was not completely closed, therefore the filling function did not fill the inner part of the coin.
Therefore, this segmentation method is not very robust: if we miss a single pixel of the contour of the object, we will not be able to fill it. Of course, we could try to dilate the contours in order to close them. However, it is preferable to try a more robust method.
Region-based segmentation¶
Let us first determine markers of the coins and the background. These markers are pixels that we can label unambiguously as either object or background. Here, the markers are found at the two extreme parts of the histogram of grey values:
>>> markers = np.zeros_like(coins)
>>> markers[coins < 30] = 1
>>> markers[coins > 150] = 2
We will use these markers in a watershed segmentation. The name watershed comes from an analogy with hydrology. The watershed transform floods an image of elevation starting from markers, in order to determine the catchment basins of these markers. Watershed lines separate these catchment basins, and correspond to the desired segmentation.
The choice of the elevation map is critical for good segmentation. Here, the amplitude of the gradient provides a good elevation map. We use the Sobel operator for computing the amplitude of the gradient:
>>> from skimage.filters import sobel
>>> elevation_map = sobel(coins)
From the 3-D surface plot shown below, we see that high barriers effectively separate the coins from the background.
and here is the corresponding 2-D plot:
The next step is to find markers of the background and the coins based on the extreme parts of the histogram of grey values:
>>> markers = np.zeros_like(coins)
>>> markers[coins < 30] = 1
>>> markers[coins > 150] = 2
Let us now compute the watershed transform:
>>> from skimage.morphology import watershed
>>> segmentation = watershed(elevation_map, markers)
With this method, the result is satisfying for all coins. Even if the markers for the background were not well distributed, the barriers in the elevation map were high enough for these markers to flood the entire background.
We remove a few small holes with mathematical morphology:
>>> segmentation = ndi.binary_fill_holes(segmentation - 1)
We can now label all the coins one by one using ndi.label
:
>>> labeled_coins, _ = ndi.label(segmentation)


{{ name }} Confessions
A hero is someone who understands the responsibility that comes with his freedom.
So, Use wisely.
Confess here...
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Aman Roy
See Codes
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The "IG Publisher Package" export format produces a package from the selected implementation guide and executes it against the FHIR IG Publisher (v4.1.0-288459e2).
When done, it ZIPs everything up in the package'd directory as the export, regardless of whether the FHIR IG Publisher encounters an error during the execution.
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Robot is always a quick connecting to students in schools. They always want to build something like that and learn how it works.
Bot is a small BO motor based 2/4 wheeler bot which has a Circuit connected with micro controller. This Board has different input output systems which makes Learning Coding with micro controllers and playing with few robotics concepts easier.
what tasks have been completed, and what tasks remain?
Circuit Board making , Programming , 3D Design , Laser Cutting, Supports
all done.
Task remain is in documentation part like Creating DIY Cards and making production based design for students.
What has worked? what hasn't?
Sensor , LCD , Design , worked well without error.
Bluetooth HC-05 was not working perfectly.
It take one command of forward then don't receive next command again till it not disconnected and reconnect it again.
what questions need to be resolved?
Adding more mounted Sensor option for students to prototype.
What will happen when?
Working on Error solving in Bluetooth based controlling, trying to find error for bluetooth communication.
what have you learned?
I am Civil Engineer, this all fabrication was new to me and I got to know how its working. Due to hectic time schedule during course it was not able to go that deep to learn properly but I found more capable when I started teaching same so this learning helped me learn fabrication in best way in such 6 month short time.
Documentation during development
I found my self as not that good in documentation , and I require more time to document it properly. Later on I started with documenting in notebook and code it on raw HTML.
I later realized about it. when time was very less.
It will be double layered PCB with different components having proper power options and series of led of each pin.
This will help them to have hazzle free coding and reduce short circuit as in jumper wire it happens lots time.
Main thing is this Board can be converted to Robot also which student really like to make and experiment.
This Prototype is made by using Satshakit
Working of this Kit is based on direct Connection of PCB and its.
(This 3D view service for web, has been provided/hosted by https://p3d.in for free. )
Cost of Components used in Kit
This is the first code I've tested to show basic usage of LCD & ultrasonic. The code will measure distance with the help of ultrasonic sensor and it will display the distance on the mounted i2c LCD.


|
Class Summary |
| ClassNameMBean |
A convenience base class for ModelMBean implementations
where the underlying base class (and therefore the set of supported
properties) is different for varying implementations of a standard
interface. |
| ConnectorMBean |
A ModelMBean implementation for the
org.apache.coyote.tomcat4.CoyoteConnector component. |
| ContextEnvironmentMBean |
A ModelMBean implementation for the
org.apache.catalina.deploy.ContextEnvironment component. |
| ContextResourceLinkMBean |
A ModelMBean implementation for the
org.apache.catalina.deploy.ContextResourceLink component. |
| ContextResourceMBean |
A ModelMBean implementation for the
org.apache.catalina.deploy.ContextResource component. |
| DefaultContextMBean |
A ModelMBean implementation for the
org.apache.catalina.core.StandardDefaultContext component. |
| GlobalResourcesLifecycleListener |
Implementation of LifecycleListener that instantiates the
set of MBeans associated with global JNDI resources that are subject to
management. |
| GroupMBean |
A ModelMBean implementation for the
org.apache.catalina.Group component. |
| MBeanFactory |
A ModelMBean implementation for the
org.apache.catalina.core.StandardServer component. |
| MBeanUtils |
Public utility methods in support of the server side MBeans implementation. |
| MemoryUserDatabaseMBean |
A ModelMBean implementation for the
org.apache.catalina.users.MemoryUserDatabase component. |
| NamingResourcesMBean |
A ModelMBean implementation for the
org.apache.catalina.deploy.NamingResources component. |
| RoleMBean |
A ModelMBean implementation for the
org.apache.catalina.Role component. |
| ServerLifecycleListener |
Implementation of LifecycleListener that
instantiates the set of MBeans associated with the components of a
running instance of Catalina. |
| StandardContextMBean |
A ModelMBean implementation for the
org.apache.catalina.core.StandardContext component. |
| StandardEngineMBean |
A ModelMBean implementation for the
org.apache.catalina.core.StandardEngine component. |
| StandardHostMBean |
A ModelMBean implementation for the
org.apache.catalina.core.StandardHost component. |
| StandardServerMBean |
A ModelMBean implementation for the
org.apache.catalina.core.StandardServer component. |
| StandardServiceMBean |
A ModelMBean implementation for the
org.apache.catalina.core.StandardService component. |
| UserMBean |
A ModelMBean implementation for the
org.apache.catalina.User component. |


Pic: Ileana D'cruz's 'gimme food' look is something we all can relate to
by TIMESOFINDIA.COMIleana D'cruz is ruling the internet these days because of her stunning pictures. The actress who has become an avid social media user keeps treating us with her amazing snaps.
She recently took to her Instagram story to share a few pictures with her fans. In the picture, Ileana is seen sporting her new ‘hat look’.
And, now, she has reposted a cute picture where she is seen giving 'gimme food' look. Dressed in her casual chic attire, Ileana is looking too cute in this pout face click.
On the work front, she was last seen in Anees Bazmee’s ‘Pagalpanti’ which boasted of an ensemble star cast which included, John Abraham, Pulkit Samrat, Arshad Warsi, Kriti Kharbanda and Urvashi Rautela.
Ileana will next be seen in ‘Big Bull’ alongside Abhishek Bachchan and Lekha Prajapati.


Mail::Toaster::FreeBSD - FreeBSD specific Mail::Toaster functions.
Primarily functions for working with FreeBSD ports (updating, installing, configuring with custom options, etc) but also includes a suite of methods for FreeBSD managing jails.
Usage examples for each subroutine are included.
use Mail::Toaster::FreeBSD;
my $fbsd = Mail::Toaster::FreeBSD->new;
Checks to see if a port is installed.
$fbsd->is_port_installed( "p5-CGI" );
arguments required
port - the name of the port/package
arguments optional:
alt - alternate package name. This can help as ports evolve and register themselves differently in the ports database.
result:
0 - not installed
1 - if installed
$fbsd->jail_create( );
arguments required:
ip - <IP_ADDRESS>
arguments optional:
hostname - jail36.example.com,
jail_home - /home/jail,
If hostname is not passed and reverse DNS is set up, it will be looked up. Otherwise, the hostname defaults to "jail".
jail_home defaults to "/home/jail".
Here's an example of how I use it:
ifconfig fxp0 inet alias <IP_ADDRESS>/32
perl -e 'use Mail::Toaster::FreeBSD;
my $fbsd = Mail::Toaster::FreeBSD->new;
$fbsd->jail_create( ip=>"<IP_ADDRESS>" )';
After running $fbsd->jail_create, you need to set up the jail. At the very least, you need to:
1. set root password
2. create a user account
3. get remote root
a) use sudo (pkg_add -r sudo; visudo)
b) add user to wheel group (vi /etc/group)
c) modify /etc/ssh/sshd_config to permit root login
4. install perl (pkg_add -r perl)
Here's how I set up my jails:
pw useradd -n matt -d /home/matt -s /bin/tcsh -m -h 0
passwd root
pkg_add -r sudo rsync perl5.8
rehash; visudo
sh /etc/rc
Ssh into the jail from another terminal. Once successfully logged in with root privs, you can drop the initial shell and access the jail directly.
Read the jail man pages for more details. Read the perl code to see what else it does.
Delete a jail.
$freebsd->jail_delete( ip=>'<IP_ADDRESS>' );
This script unmounts the proc and dev filesystems and then nukes the jail directory.
It would be a good idea to shut down any processes in the jail first.
Starts up a FreeBSD jail.
$fbsd->jail_start( ip=>'<IP_ADDRESS>', hostname=>'jail03.example.com' );
arguments required:
ip - <IP_ADDRESS>,
arguments optional:
hostname - jail36.example.com,
jail_home - /home/jail,
If hostname is not passed and reverse DNS is set up, it will be looked up. Otherwise, the hostname defaults to "jail".
jail_home defaults to "/home/jail".
Here's an example of how I use it:
perl -e 'use Mail::Toaster::FreeBSD;
$fbsd = Mail::Toaster::FreeBSD->new;
$fbsd->jail_start( ip=>"<IP_ADDRESS>" )';
$fbsd->install_port( "openldap" );
That's it. Really. Well, OK, sometimes it can get a little more complex. install_port checks first to determine if a port is already installed and if so, skips right on by. It is very intelligent that way. However, sometimes port maintainers do goofy things and we need to override settings that would normally work. A good example of this is currently openldap.
If you want to install OpenLDAP 2, then you can install from any of:
/usr/ports/net/openldap23-server
/usr/ports/net/openldap23-client
/usr/ports/net/openldap24-server
/usr/ports/net/openldap24-client
So, a full complement of settings could look like:
$freebsd->install_port( "openldap-client",
dir => "openldap24-server",
check => "openldap-client-2.4",
flags => "NOPORTDOCS=true",
fatal => 0,
);
arguments required:
port - the name of the directory in which the port resides
arguments optional:
dir - overrides 'port' for the build directory
check - what to test for to determine if the port is installed (see note #1)
flags - comma separated list of arguments to pass when building
NOTES:
#1 - On rare occasion, a port will get installed as a name other than the ports name. Of course, that wreaks all sorts of havoc so when one of them nasties is found, you can optionally pass along a fourth parameter which can be used as the port installation name to check with.
$fbsd->install_package( "ispell" );
Suggested usage:
unless ( $fbsd->install_package( "ispell" ) ) {
$fbsd->install_port( "ispell" );
};
Installs the selected package from FreeBSD packages. If the first install fails, it will try again using an alternate FTP site (ftp2.freebsd.org). If that fails, it returns 0 (failure) so you know it failed and can try something else, like installing via ports.
If the package is registered in FreeBSD's package registry as another name and you want to check against that name (so it doesn't try installing a package that's already installed), instead, pass it along as alt.
arguments required:
port - the name of the package to install
arguments optional:
alt - a name the package is registered in the ports tree as
url - a URL to fetch the package from
See the pkg_add man page for more details on using an alternate URL.
Updates the FreeBSD ports tree (/usr/ports/).
$fbsd->update_ports();
arguments required:
conf - a hashref
See the docs for toaster-watcher.conf for complete details.
$fbsd->conf_check(check=>"snmpd_enable", line=>"snmpd_enable=\"YES\"");
The above example is for snmpd. This checks to verify that an snmpd_enable line exists in /etc/rc.conf. If it doesn't, then it will add it by appending the second argument to the file.
Matt Simerson<EMAIL_ADDRESS>None known. Report any to author.
Needs more documentation.
The following are all man/perldoc pages:
Mail::Toaster
Mail::Toaster::Conf
toaster.conf
toaster-watcher.conf
http://mail-toaster.org/
http://www.tnpi.net/computing/freebsd/
Copyright 2003-2012, The Network People, Inc. All Rights Reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the The Network People, Inc. nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.


How this plays out in life is that when I am interested in something I take a deep dive.
My love of learning how things work and learning how to make things combined with my love of details are the reasons learning programming is a great fit for me! As I searched for a career that would utilize my natural talents and suit my mind set my research kept pointing towards programming.
As a detail-oriented person, before making a big life change and enrolling in a programming educational program, I began by exploring Epicodus' free online curriculum. And when this self-directed study confirmed that I enjoy programming, I enrolled in the Epicodus Boot Camp.
When I'm not learning to program or working on one of my elaborate hobbies I am probably playing with or defending my meal from one of my four pets.


Inherits Assimp::IOStream.
|
| virtual | ~ZipFile () |
| |
| size_t | FileSize () const override |
| | Returns filesize Returns the filesize. More...
|
| |
| void | Flush () override |
| | Flush the contents of the file buffer (for writers) See fflush() for more details. More...
|
| |
| size_t | Read (void *pvBuffer, size_t pSize, size_t pCount) override |
| | Read from the file. More...
|
| |
| aiReturn | Seek (size_t pOffset, aiOrigin pOrigin) override |
| | Set the read/write cursor of the file. More...
|
| |
| size_t | Tell () const override |
| | Get the current position of the read/write cursor. More...
|
| |
| size_t | Write (const void *, size_t, size_t) override |
| | Write to the file. More...
|
| |
◆ ZipFile()
| Assimp::ZipFile::ZipFile |
( |
size_t |
size | ) |
|
|
explicitprivate |
◆ ~ZipFile()
| Assimp::ZipFile::~ZipFile |
( |
| ) |
|
|
virtual |
◆ FileSize()
| size_t Assimp::ZipFile::FileSize |
( |
| ) |
const |
|
overridevirtual |
◆ Flush()
| void Assimp::ZipFile::Flush |
( |
| ) |
|
|
inlineoverridevirtual |
Flush the contents of the file buffer (for writers) See fflush() for more details.
Implements Assimp::IOStream.
◆ Read()
| size_t Assimp::ZipFile::Read |
( |
void * |
pvBuffer, |
|
|
size_t |
pSize, |
|
|
size_t |
pCount |
|
) |
| |
|
overridevirtual |
Read from the file.
See fread() for more details This fails for write-only files
Implements Assimp::IOStream.
◆ Seek()
Set the read/write cursor of the file.
Note that the offset is negative for aiOrigin_END. See fseek() for more details
Implements Assimp::IOStream.
◆ Tell()
| size_t Assimp::ZipFile::Tell |
( |
| ) |
const |
|
overridevirtual |
Get the current position of the read/write cursor.
See ftell() for more details
Implements Assimp::IOStream.
◆ Write()
| size_t Assimp::ZipFile::Write |
( |
const void * |
pvBuffer, |
|
|
size_t |
pSize, |
|
|
size_t |
pCount |
|
) |
| |
|
inlineoverridevirtual |
Write to the file.
See fwrite() for more details This fails for read-only files
Implements Assimp::IOStream.
◆ ZipFileInfo
◆ m_Buffer
| std::unique_ptr<uint8_t[]> Assimp::ZipFile::m_Buffer |
|
private |
◆ m_SeekPtr
| size_t Assimp::ZipFile::m_SeekPtr = 0 |
|
private |
◆ m_Size
| size_t Assimp::ZipFile::m_Size = 0 |
|
private |
The documentation for this class was generated from the following file:


Onsen UI is a web components UI framework optimized for PhoneGap/Cordova hybrid app development.
With the next version of Onsen UI, development utilizing our Onsen CSS Components will be possible, and on top of that you will also be able to integrate important JS frameworks like jQuery and Backbone.js.
With Onsen UI, developers can freely and easily make beautiful hybrid app UIs - like native apps.


Build Radiators as a Service - a private and free build radiator for your team. This is for teams with no radiator up on a wall, and plenty of real reasons why Infosec will not let them put one up. There are many much more sophisticated "Information Radiators" available, but teams can use this one to get to green first, AND STAY THERE.
Put the radiator in your office's "guest" WiFi network so that the screen doesn't have to be logged in, and it will not have to adhere to the screen saver policy. Read more.
if you want you can restrict to only certain TCP/IP addresses to be allowed to view and update your radiator. See Restricting view & update TCP/IP addresses.
Some low-end ($180) "Smart" TVs have a functional browser and WiFi capability, and buildradiator.org works just fine on them. See Consumer Displays.
The JSON for your radiator is mounted ion a random 20-digit URL. The demo radiator has a random directory
of ueeusvcipmtsb755uq
(90 bits turned into lower case or numeric) which is strong enough protection.
On the server-side your steps can be '1', '2', '3' (etc) if you want and expand them to longer step names entirely on the client side. The title similarly is set on the client side.
So far there is an extension for Java's Maven build technology, allowing it to publish to buildradiator.org.
The tiny amount of info held on the server is not shared with anyone. Not for money, not for free. Nobody would want it anyway - it is terribly boring. Here is the demo radiator's JSON .
Teams that have a consistently 'red' (failing) build should put a build raditor up on the wall to the exclusion of all else, but may not do so if managers and execs walking past may realize that they are not collectively as capable as was previously believed. Teams that have a consistently 'green' (passing) builds mere minutes apart, probably could use the screen on the wall for something else as they no longer need to use it to improve.
The 'buildradiator' project is on GitHub (open source) - github.com/BuildRadiator/BuildRadiator - and contributions are welcome via the usual pull-request mechanism. Integrations with build technologies CI tools/services are also sought.


AutoGeoMapper is a prototype tool commissioned by DataKind UK and Superhighways (under the Datawise London programme) and created by Hetco Design.
Continue Exploring
Paste your postcodes in Community Lens, a tool which helps match open datasets to the areas you work in to learn more about the needs of local communities.


SubRelA documentation¶
- Version
2.0.0
- Release date
January 21, 2021
Python package for the subgroup relevance analysis.
Requirements¶
Python >= 3.6
pandas >= 0.24.0
SciPy >= 1.1.0
Bokeh >= 1.1.0, optional
Matplotlib >= 2.1.0, optional
Installation¶
Only with mandatory packages:
pip install git+https://github.com/nbsato/subrela.git
With mandatory packages and Bokeh:
pip install git+https://github.com/nbsato/subrela.git#egg=subrela[bokeh]
With mandatory packages and Matplotlib:
pip install git+https://github.com/nbsato/subrela.git#egg=subrela[matplotlib]
With mandatory packages, Bokeh, and Matplotlib:
pip install git+https://github.com/nbsato/subrela.git#egg=subrela[bokeh,matplotlib]


Born in Florence, Italy in 1990 October. I took a degree in Computer science at Università degli studi di Firenze. I am a freelance programmer and game design student. I have a great passion for video games and this leads me to help boys and girls to move their first steps on this amazing world. My desire is to join the great videogames industry one day!
Freelance programmer, my job is composed of two different realities:
In the accademic year 2017-18 I had my first teaching experience, during this period I helped the professor to manage four teams. These teams were composed by the first year students, at least one component for the three main aspect of a game (game design, concept art and programming). My support was focused on design and programming, at least all the groups have created a playable game and this were satisfying. Now I am the teaching assistant of the game design course. I help the students to move their first steps in the game dev world, showing them Game Maker and Unity engines.
Php and javascript developer. During the permanence in this company I have played many roles. At first I created interfaces for the new management software to improve the efficiency of CRM and Backoffice. After a first period of frontend experience began the backend time, where I learned the PL/SQL basis. I developed procedures to facilitate the billing process. I've also made the data migration in the new software for the gas part. It's here that my knowledge of Oracle DB growed up. During the last year and a half I started to developed with senior programmers a new software for the management of contracts loading. This was also the opportunity to introduce a centralized user control system and a software monitoring system.
Here I learned game design fundamentals and develop my first games. My studies will be over in June 2019.
Here the main aspects of my studies:
On my opinion I have three strengths that put together create a good mix
Theme by David Miller - GitHub davidtmiller


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Render
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Texturing involves mapping some color or some other kind of vector to a fragment using UV coordinates. Both U and V range from zero to one. Each vertex gets a UV coordinate and this is outputted in the vertex shader.
The fragment shader receives the UV coordinate interpolated. Interpolated meaning the UV coordinate for the fragment is somewhere between the UV coordinates for the vertexes that make up the triangle face.
#version 150
uniform mat4 p3d_ModelViewProjectionMatrix;
in vec2 p3d_MultiTexCoord0;
in vec4 p3d_Vertex;
out vec2 texCoord;
void main()
{
texCoord = p3d_MultiTexCoord0;
gl_Position = p3d_ModelViewProjectionMatrix * p3d_Vertex;
}
Here you see the vertex shader outputting the texture coordinate to the fragment shader. Notice how it's a two dimensional vector. One dimension for U and one for V.
#version 150
uniform sampler2D p3d_Texture0;
in vec2 texCoord;
out vec2 fragColor;
void main()
{
texColor = texture(p3d_Texture0, texCoord);
fragColor = texColor;
}
Here you see the fragment shader looking up the color at its UV coordinate and outputting that as the fragment color.
#version 150
uniform sampler2D screenSizedTexture;
out vec2 fragColor;
void main()
{
vec2 texSize = textureSize(texture, 0).xy;
vec2 texCoord = gl_FragCoord.xy / texSize;
texColor = texture(screenSizedTexture, texCoord);
fragColor = texColor;
}
When performing render to texture, the mesh is a flat rectangle with the same aspect ratio as the screen. Because of this, you can calculate the UV coordinates knowing only A) the width and height of the screen sized texture being UV mapped to the rectangle and B) the fragment's x and y coordinate. To map x to U, divide x by the width of the input texture. Similarly, to map y to V, divide y by the height of the input texture. You'll see this technique used in the example code.
(C) 2019 David Lettier
lettier.com


Recipe 5.15. Sorting Names and Separating Them by InitialsCredit: Brett Cannon, Amos Newcombe ProblemYou want to write a directory for a group of people, and you want that directory to be grouped by the initials of their last names and sorted alphabetically. SolutionPython 2.4's new itertools.groupby function makes this task easy: import itertools def groupnames(name_iterable): sorted_names = sorted(name_iterable, key=_sortkeyfunc) name_dict = { } for key, group in itertools.groupby(sorted_names, _groupkeyfunc): name_dict[key] = tuple(group) return name_dict pieces_order = { 2: (-1, 0), 3: (-1, 0, 1) } def _sortkeyfunc(name): ''' name is a string with first and last names, and an optional middle name or initial, separated by spaces; returns a string in order last-first-middle, as wanted for sorting purposes. ''' name_parts = name.split( ) return ' '.join([name_parts[n] for n in pieces_order[len(name_parts)]]) def _groupkeyfunc(name): ''' returns the key for grouping, i.e. the last name's initial. ''' return name.split( )[-1][0] DiscussionIn this recipe, name_iterable must be an iterable whose items are strings containing names in the form first - middle - last, with middle being optional and the parts separated by whitespace. The result of calling groupnames on such an iterable is a dictionary whose keys are the last names' initials, and the corresponding values are the tuples of all names with that last name's initial. Auxiliary function _sortkeyfunc splits a name that's a single string, either "first last" or "first middle last," and reorders the part into a list that starts with the last name, followed by first name, plus the middle name or initial, if any, at the end. Then, the function returns this list rejoined into a string. The resulting string is the key we want to use for sorting, according to the problem statement. Python 2.4's built-in function sorted takes just this kind of function (to call on each item to get the sort key) as the value of its optional parameter named key. Auxiliary function _groupkeyfunc takes a name in the same form and returns the last name's initialthe key on which, again according to the problem statement, we want to group. This recipe's primary function, groupnames, uses the two auxiliary functions and Python 2.4's sorted and itertools.groupby to solve our problem, building and returning the required dictionary. If you need to code this task in Python 2.3, you can use the same two support functions and recode function groupnames itself. In 2.3, it is more convenient to do the grouping first and the sorting separately on each group, since no groupby function is available in Python 2.3's standard library: def groupnames(name_iterable): name_dict = { } for name in name_iterable: key = _groupkeyfunc(name) name_dict.setdefault(key, [ ]).append(name) for k, v in name_dict.iteritems( ): aux = [(_sortkeyfunc(name), name) for name in v] aux.sort( ) name_dict[k] = tuple([ n for _ _, n in aux ]) return name_dict See AlsoRecipe 19.21; Library Reference (Python 2.4) docs on module itertools. |


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Learn MoreBlue bottle crucifix vinyl post-ironic four dollar toast vegan taxidermy. Gastropub indxgo juice poutine, ramps microdosing banh mi pug VHS try-hard.
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Learn MoreFam locavore kickstarter distillery. Mixtape chillwave tumeric sriracha taximy chia microdosing tilde DIY. XOXO fam inxigo juiceramps cornhole raw denim forage brooklyn. Everyday carry +1 seitan poutine tumeric. Gastropub blue bottle austin listicle pour-over, neutra jean.
Fam locavore kickstarter distillery. Mixtape chillwave tumeric sriracha taximy chia microdosing tilde DIY. XOXO fam inxigo juiceramps cornhole raw denim forage brooklyn. Everyday carry +1 seitan poutine tumeric. Gastropub blue bottle austin listicle pour-over, neutra jean.
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Whatever cardigan tote bag tumblr hexagon brooklyn asymmetrical gentrify, subway tile poke farm-to-table. Franzen you probably haven't heard of them.
We are constantly creating personalised learning paths to help students learn better.We get our idea by talking to students,eaching them,folllowing the latest research on learning and brainstorming together.We apply these idea to create new futures with the use of advanced technology and data science.
Whatever cardigan tote bag tumblr hexagon brooklyn asymmetrical gentrify.
Address - TowerA, IBCKnowledgePark, 4/1, BannerghattaMainRoad,
Bengaluru, Karnataka, India


Before Change
def test_force_download_and_extract(self):
url = "http://a/b.tar.gz"
url_sha = _sha256(url)
// resource was already downloaded / extracted:
self.existing_paths = ["/dl_dir/%s" % url_sha,
"/extract_dir/TAR_GZ.%s" % url_sha]
self.file_names[url_sha] = "b.tar.gz"
After Change
def test_force_download_and_extract(self):
url = "http://a/b.tar.gz"
resource_ = resource_lib.Resource(url=url)
resource_.sha256 = _sha256("content of file")
// resource was already downloaded / extracted:
self.existing_paths = ["/dl_dir/%s" % resource_.fname,
"/extract_dir/TAR_GZ.%s" % resource_.fname]


Consulting for top companies around the world in various machine learning fields - natural language processing (NLP), Chatbots, Recommender system, Marketing predictions, Multimodal, AI search and Data science management
Check it outThe Farmster app and chatbot enables you to search produce near and far ahead of time and connect with new farmers at the touch of a button.
Check it outA podcast on software, data and AI. The most popular software Podcasts in Israel - 1st place in the HiTech podcast category 2020
Check it outGooster lets you customize your very own hotel chatbot for your guests, powered by artificial intelligence and instantly via Messaging platforms or as a website widget.
Check it out


Namespace encoding
Encoding functions
Defined in: encoding.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
|
Support for ASCII, UTF-8, Base64 and Hex encoding. |
| Field Attributes | Field Name and Description |
|---|---|
| <static> |
encoding.ascii
The ASCII alphabet, can be used directly
|
| <static> |
encoding.ascii_table
ASCII code table.
|
| <static> |
encoding.base64
Base64 alphabet.
|
| <static> |
encoding.hex
Hex alphabet.
|
| <static> |
encoding.utf8
UTF-8 alphabet.
|
| Method Attributes | Method Name and Description |
|---|---|
| <private> <static> |
encoding._searchCharTable(char, alphabet)
Binary search of a character inside a sorted string.
|
| <static> |
encoding.a2b(input)
ASCII code of input character.
|
| <static> |
encoding.astr2hstr(input)
Convert an ASCII string to an hexadecimal string
|
| <static> |
encoding.b2a(input)
ASCII character from its code.
|
| <static> |
encoding.b2h(input)
Hex representation of a byte.
|
| <static> |
encoding.b64c(input)
The code of a character in the base64 alphabet.
|
| <static> |
encoding.base64_decode(input)
Decode a base64-encoded string to ASCII
|
| <static> |
encoding.base64_encode(input)
Encode an ASCII string to base64
|
| <static> |
encoding.base64_urlencode(input)
Encode an ASCII string to url-compatible base64
|
| <static> |
encoding.charCode(input)
charCodeAt emulation.
|
| <static> |
encoding.fromCharCode(input)
fromCharCode emulation.
|
| <static> |
encoding.hstr2astr(input)
Convert an hexadecimal string to ASCII.
|
| <static> |
encoding.utf8_decode(input)
Decode an UTF-8 string to its raw ASCII equivalent.
|
| <static> |
encoding.utf8_encode(input)
Encode a raw ASCII string back into a JavaScript string
|
Support for ASCII, UTF-8, Base64 and Hex encoding.
DJS is simply not good at encoding, because it lacks the built-in functions to get the character code at a given offset from a string (charCodeAt), and its inverse, String.fromCharCode.
This means we have to use a literal object whose field names are ASCII characters and values are the associated codes, and a string containing every character sorted by code for the inverse operation.
For UTF-8, such a table would be too large and instead, we use binary search on the string containing all UTF-8 characters, using the built in lexicographic order of JavaScript. Since the complete UTF-8 alphabet is itself 200KB, it is loaded from its own file, utf8.js. Loading this file is optional: without it every non-ASCII character is treated like the null byte.
Author: Anonymized.
- Parameters:
- {string} char
- character to search
- {string} alphabet
- string whose characters are sorted in lexicographic order
- Returns:
- {number} the position where char occurs in alphabet, or 0 if not found.
- Parameters:
- {string} input
- character
- Returns:
- {number} ASCII code of input. Unlike encoding.charCode, will always return 0 if input is non-ASCII.
- Parameters:
- {string} input
- must be ASCII (uses a2b internally)
- Returns:
- {string} hex representation of input
- Parameters:
- {number} input
- ASCII code, only first 8 bits are taken into account.
- Returns:
- {string} associated ASCII character.
- Parameters:
- {number} input
- byte
- Returns:
- {string} hex representation of the input, has always length 2.
- Parameters:
- {string} input
- base64 character
- Returns:
- {number} base64 code from 0 to 63
- Parameters:
- {string} input
- base64 (can be url-safe or not)
- Returns:
- {string} the decoded ASCII string.
- Parameters:
- {string} input
- ASCII
- Returns:
- {string} base64 encoding of input.
- Parameters:
- {string} input
- ASCII
- Returns:
- {string} url-base64 encoding of input.
- Parameters:
- {string} input
- character
- Returns:
- {number} 16 bit character point. If input if not ASCII and utf8.js is not loaded, will return 0.
- Parameters:
- {number} input
- code point (truncated to 16 bits)
- Returns:
- {string} UCS-2 character of requested code point.
- Parameters:
- {string} input
- hex string
- Returns:
- {string} ASCII equivalent
- Parameters:
- {string} input
- JavaScript string (containing unicode characters)
- Returns:
- {string} decoded ASCII string
- Parameters:
- {string} input
- ASCII
- Returns:
- {string} JavaScript unicode string representing the UTF-8 input.


Raleigh HOG created this patch to encourage chapter members to visit all 100 North Carolina counties while riding their Harley-Davidson motorcycle. Each participating member must maintain and present a completed log to be awarded the patch. Couples should maintain a separate log for both participants. Obtain a copy of the patch rules, a log for recording county visits and a map to get started. Use the map to visually see what counties have been visited and to plan routes for counties to be visited. Credit cannot be claimed for county visits prior to officially starting.
No compass required. Just visit the five cities which are considered the geographic North, South, East, West and center of North Carolina. The cities are Mount Airy (North), Calabash (South), Buxton (East), Murphy (West) and Star (center). A location has been chosen in each city where a picture can be taken with your motorcycle. Download the photo-op locations for each city, make memories and earn a patch.
Lions and tigers and bears, oh my!Here's the patch that brings out the wild side of those that enjoy visiting zoos, animal sanctuaries and nature centers. Visit 7 of the 14 destinations to earn this patch. Start your motorcycle safari and remember, please don't feed the animals.
Do you enjoy visiting Harley-Davidson dealerships? To earn this patch riders must visit each member dealership of the Carolina Harley-Davidson Dealers Association (CHDDA). There are 16 dealerships located throughout North & South Carolina, Virginia and Georgia. There is no time limit for ride completion. Purchase a poker chip or take a picture in front of the dealership. While inside the dealership, be sure to tell them you are from Tobacco Road Harley-Davidson. Follow the current member list of CHDDA dealers to complete your journey.
Ride to at least 12 different BBQ restaurants and take a photo of your motorcycle and the restaurant sign. The word Barbeque or Smoke must appear on the restaurant sign. Smithfield BBQ may only be counted once.
We have put together a list of 22 eating establishments gathered from the "Tar Heel Traveler" and other sources for the best food in a 100 mile radius. To earn this patch you must visit 10 different establishments. It will be interesting to hear the different reviews for each establishment. Ride to some of the chowhound locations in each city, loosen your belt and get your chow on.
Do you like hotdogs? Then mount up for the "Weenie Ride" patch. There are many famous hot dog establishments across the great state of North Carolina. Ride to at least 12 different locations and take a photo of your motorcycle and the restaurant sign. (Those restaurants with multiple locations count as one. For example, you can only count one “Snoopy’s”).
Nothing could be finer than to ride the Carolina Burger Trail. (With apologies to Al Jolson.) Visit these eight burger joints which were voted the best burgers in North Carolina.
Are you a history buff? This addition to the patch rides is the Revolutionary War Battlefields patch. There are seven stops to earn this patch. Visit each one and take a photo of your motorcycle with a battlefield sign. Get the list of NC Revolutionary War battlefields, mount your iron horse and visit history.
There are 19 Civil War Battlefields in North Carolina. Visit each one and take a photo of your motorcycle with the battlefield sign. Get the list of NC Civil War battlefields, mount up and visit history.
All gave some, some gave all.
Visit 10 of these 19 Memorials and Monuments around North Carolina and take a picture that includes your motorcycle to earn this patch.


DotScap should automatically generate and download your Scapple file to your computer. If that doesn't happen and you are not prompted to download a file, you may need to try a different browser. The Scapple file will be generated with the default options; to set your own options, ignore the initial download, change options, and press the Regenerate File button below.
Graph
Notes: Thicker borders appear on the start node, any unreachable nodes, and other detected nodes of note. Traced nodes are colored blue regardless of the other color settings. When color by length is on, all other nodes are colored in shades of red (shorter than average) to green (longer than average) based on the relative length of their contents. Tag options use the first tag on each passage unless Use last tag is checked; optionally detected special tags are ignored in this ordering. The omit by tag(s) option omits the passage regardless of tag order. Stray or misplaced nodes can result from the omit tags setting, or from duplicate passage names or other linking issues.


so the baggage claim is actually forcing the proper import txid?
and not just recreating coins to compensate for it?
blackjok3r11-Mar-19 01:17 PM
I dont know this we havent tried it...
yes
from what I can see
if the import failes with MoMoM validation
then the min sigs of ntoaries post the MoM hash that allows the burn txid directly to the import tx itself to allow it to validate
Alright11-Mar-19 01:18 PM
to be frank, I doubt we'll ever use it
when doing imports for actual general use, I've never had a single fail
only if I'm searching for a fail do i get a fail
ie thousands and thousands looped
and I'll get a fail or two
blackjok3r11-Mar-19 01:19 PM
I think I fixed it, and I also think, that any situation can be covered with a larger range of MoMoM hash
the bash script sent an export every 30s
then logged when import failed 90 times, each checking every 60s
that gives a pretty good coverage... but I fixed that error with a giant hammer
you jsut include so much data in each notarization that it cant not line up
ther simpley has to be a notarization that ibncludes the correct MoM hash if you scan back 10 or 1000 blocks on KMD and include every MoM hash
at some point, maybe you get so many MoM hash that a false positive could occure so you cant go too silly(edited)
sendrawtransaction: transaction already in block chain (code -27)
somethign wrong with CrisF computer or script is bugged
Alright11-Mar-19 01:29 PM
can take a look at the script later today
just has to handle different errors differently it seems(edited)
blackjok3r11-Mar-19 01:30 PM
the problem is it returns -1 as the error code
so to know what error was what , Iu prointed the exception, and copy pasted that into the python script
I dont think thats how its meant to work... each error should return a diffrent number.,... not all suppsed to be -1
Alright11-Mar-19 01:32 PM
I think pos64staker needs another menu
blackjok3r11-Mar-19 01:32 PM
this script want easy to make ... but I really hope the logic can be applied properly
Alright11-Mar-19 01:32 PM
"Alright's general purpose TUI" is what it really is at this point
blackjok3r11-Mar-19 01:32 PM
likely we need @dukeleto help on the daemon side
Alright11-Mar-19 01:33 PM
we'll pay with hugs and kisses @dukeleto
blackjok3r11-Mar-19 01:33 PM
the error handling on C++ I dont quite get... in BTC code the diffrent errors return a diff code... but all the CC stuff si all -1
that makes things much ahrder
Alright11-Mar-19 01:33 PM
dude it's a dead simple fix
if result['error'] == "transactions already in blockchain":
blackjok3r11-Mar-19 01:34 PM
I already did that
but probably a stupidway
Alright11-Mar-19 01:34 PM
needs a try above it because result['error'] doesn't always exist
blackjok3r11-Mar-19 01:34 PM
was only concerned with getting my idea into code to test it...
seems I worked out how to do that, but the solution to me seems inelegant
@libscott
Alright11-Mar-19 01:42 PM
inelegant > non-working
blackjok3r11-Mar-19 01:43 PM
this is true
to be fair his solution was very elegant... it jst forgot reorgs exist
not even reorgs... I had times in testing today that a notarisation was confirmed before the previous one.... The miner use to orginise them into a lsit that made oldest first.. but you cant know which miner has which notarization in its mempool so I remvoed that
dukeleto11-Mar-19 01:47 PM
uh oh, i see i was mentioned
such backscroll, much wow
CrisF11-Mar-19 01:51 PM
Hmm, one of the migrations must have gone through. destchain has balance .(edited)
I suppose it's the one that Blackjok3r broadcast.(edited)
blackjok3r11-Mar-19 01:59 PM
yeah cris ... both of the lastr ones said alrady in blockchain
so its a bug with cript
you found a bug btw
!kmdtip @CrisF 2
KMD TipBotBOT11-Mar-19 02:00 PM
TipBot
Cannot tip with entered amount.
blackjok3r11-Mar-19 02:00 PM
!kmdtip @CrisF 1
KMD TipBotBOT11-Mar-19 02:00 PM
TipBot
Cannot tip with entered amount.
blackjok3r11-Mar-19 02:00 PM
!arrrtip @CrisF 10
ARRR TipBotBOT11-Mar-19 02:01 PM
TipBot
@blackjok3r (blackjok3r#3181)
You tipped @CrisF9.9999 ARRR
A network fee of 0.0001 ARRR was deducted from the amount.
This operation is pending. You will be notified when when it has finished.
CrisF11-Mar-19 02:01 PM
Thanks man
blackjok3r11-Mar-19 02:01 PM
its not 10k but loll
CrisF11-Mar-19 02:02 PM
Haha, I'd better get to finding more bugs then.
blackjok3r11-Mar-19 02:02 PM
@dukeleto tldr.... why does CC errors return error code -1 for al errors? can we easily make it return diffrent error code?
various scripts we have developed on STAKED so far, none of these are perfect and some might not even work. use them as examples of what you can do. - KMDLabs/PoS_scripts
Mon 11 Mar 15:57:24 AWST 2019
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4927
Mon 11 Mar 16:57:24 AWST 2019
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4947
Mon 11 Mar 17:57:24 AWST 2019
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4988
Mon 11 Mar 18:57:24 AWST 2019
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5005
Mon 11 Mar 19:57:24 AWST 2019
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5070
Mon 11 Mar 20:57:24 AWST 2019
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Mon 11 Mar 21:57:25 AWST 2019
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Mon 11 Mar 22:57:25 AWST 2019
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Mon 11 Mar 23:57:25 AWST 2019
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@ComputerGenie 👴👴👴
I thinku need to be the genie u claim to be?
@jeezy will be super happy if we can fix this
Bar_F1sh_Rel11-Mar-19 05:55 PM
Man that migrate sledgehammer is strange.
Not sure why you would get the error
sendrawtransaction: Expected type string, got number (code -3)
Tried to broadcast x times
but it does seem to mend after the `Created backup import tx`
FishyGuts11-Mar-19 09:13 PM
Ayyyy you guys got a logo yet/
Did that ever get cleared up? I want to add it to our next Notary Campaign poster.
Alright12-Mar-19 01:15 AM
Don't think we all came to a definitive decision
pick one
1
1
2
grewalsatinder12-Mar-19 02:26 AM
I like the last one.
coz this one looks to be the most easiest one I can draw by hand, in simplest form.
the the second last one as second choice.
blackjok3r12-Mar-19 05:15 AM
Multi threaded the migrate script... So now I can easily just have it constantly migrate every 30s and save the result (edited)
Just need to mine enough CFEKs
Should know if the hammer fixed it within a day
1
CrisF12-Mar-19 05:30 AM
ComputerGenie's was the most popular choice of the newest ones.
1
blackjok3r12-Mar-19 05:45 AM
@Bar_F1sh_Rel I think that is a bug, might have found it here just before.


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University of Wisconsin - Platteville
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University of Wisconsin - Platteville · 2017-2021
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Once upon a life I tried out mechanical engineering, with the intent of becoming an avionics engineer. Turns out, fate had other plans for my and my destiny was in electrical engineering. So here I am.
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