CSS by Johnathan
Johnathan
3 Links to references and at least 8 other CSS commands on this page
http://www.w3schools.com/cssref
cool video
Regular Paragraph
This is a paragraph with class="ex". This text is blue.
You should try:
background-image for a textarea
border-color, border-style, width for a div
list-style-image for
or
z-index for overlapping images


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Gasoline
Automatic
12000
Sports Car
5 Gears
2005
Helping Center
Vivamus eget nibh. Etiam cursus leo vel metus. Nulla facilisi. Aenean nec eros.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer
Gasoline
Automatic
12000
Sports Car
5 Gears
2005
Copyright 2016. All rights reserved by: Auto Car Dealer


Welcome, my name is Abdullah. I am a Software developer from Cairo,who loves to write code to build great apps and help businesses succeed with their goals. I appreciate good design and I am seeing it's importance more then ever in todays apps and such products.
I have studied computer secience and graduated from Modern academy for information technolog.I have been working professionally in software development since 2013 in the mobile spaces with experience across the online food ordering, transport and Mobile products.


Who’s more foolish? The fool or the fool who follows him?
Post of the week
I’m sure it is no surprise that I’m a lover of horror. Literature, films and a whole bunch of other things. So, what happens if we let GPT-2 generate lots of horror stories given a little pre-warmup from us? Well this post does exactly that. Whilst the content of the output is generally trash (even the recipe) I do love that it gets pretty dark, pretty quick!
Blogs and commentary
- Ever wanted to make a voiceover but don’t like how you sound? Now, you can sound just like Joe Rogan instead.
- Artificial Life is a new topic to me, but the folks over at The Gradient have a good write up.
- El Reg are back and promoting a book I want. It all links back into the machine learning fatigue I am getting from trying to explain the limitations of what is possible to those who think its wizardry (a blog post coming on something similar to this soon).
- The last bastion of hope in the world of Go has finally been beaten by DeepMind. Turns out computers (note, a huge supercomputer) are good at keeping track of all of the possible trees of moves and follow on moves to allow them to win within a very strict set of rules. Who knew?
- I’m not very good with social media, so if you want to find some good people in the field to follow then you cannot go wrong with sifted.eu’s recommendations.
- If ever there was a clickbait title its “Diversity in AI is not your problem, it’s hers”. As you can probably tell by the fact I’m including it here, the title isn’t to be taken literally and the article describes how woefully inept our NLP models are by recognising “his” as a pronoun but think that “hers” is a noun.
- MIT Technology Review has a quick summary of what Facebook are up to with regards to its treatment of video nasties. Still the problem of understanding meaning and context of language eludes even some of the best language modellers.
- Over at Google the focus is a little more about explicability of the models with the ‘launch’ of explainable AI. I’m really sceptical of this because of the sheer complexity of the inner workings, but if it proves me wrong I will be the first one celebrating.
- Something very pertinent from Heartbeat, deep learning has a size problem. I wholeheartedly agree with the sentiment of moving research away from state of the art accuracy toward state of the art efficiency. I’d still prefer that we didn’t have experiments like MegatronLM using up the equivalent of a single American’s annual energy consumption in the (circa) 9 days it took to train though. Although the idea of pruning weights does make me want to see if we can get chaos from it.
- Vicki Boykis has a good description of how we really aren’t much past the middle ages in terms of how we work with and apply ML models and outputs.
- In attempting to model the ways in which a human brain thinks and learns, Nature have good overview of the developments in neuromorphic computing. Warning: this is behind a paywall and you need your OpenAthens account.
- It seems that robots are really here to take our jobs. Cards Against Humanity has built an AI to replace their writers
- The Gradient doubling up on this list with a description of an epidemic of AI misinformation and this time is complemented with a post from Forbes about how thinking that AI is similar to human intelligence could be dangerous (note: it is about a joint paper from the Oxford Internet Institute and the Alan Turing Institute but this is a bit shorter).
Papers
Only one this week, and I think it deserves the award for best abstract 2019.
Haskell propaganda
- Okay, not strictly Haskell propaganda given that you can read half of it without seeing anything about a computer, but Bogdan Penkovsky’s writeup of convolutional neural networks (with implementation) is really good.
- I’ve seen things you people wouldn’t believe. Haskell + Blade Runner = tears in rain.
- Wonder how to combine nix and Haskell? Enjoy this cookbook. I swear by a combination of nix and cabal for all my haskell needs so this is quite useful.
- Does this list of Haskell propaganda contain a link to a list of Haskell propaganda? Yes, it does.
Origin of the title
Star Wars.


Get yourself a personalized QR for FREE!
(Don't press
this
or
this
link! The former is broken and the latter trips the backend.)
Seed your individual QR with something very close to your hear:
Phlebas the Phoenician, a fortnight dead, Forgot the cry of gulls, and the deep sea swell And the profit and loss. A current under sea Picked his bones in whispers. As he rose and fell He passes the stages of his age and youth Entering the whirlpool. Gentile or Jew O you who turn the wheel and look windward, Consider Phlebas, who was once handsome and tall as you.


Mobile Sensor Motion
API used
acceleration (excl. gravity)
acceleration (incl. gravity)
rotation rate
interval
Demo based on
HTML5 Rocks
article.


import { Block } from '../components/Block'
import { IDataLayout } from '../components/blockTypes'
import { Blocks } from '../components/Blocks'
import { Params } from '../components/Params'
import { EditHelper } from '../editors/EditHelper'
import { Select } from '../editors/Select'
import { Stacking } from '../components/Stacking'
import { Hooks } from '../components/Hooks'
import { ISize } from '../types'
export interface IGeneratorFunctionArgs {
name: string
exParams?: Params
editHelper?: EditHelper
}
/**
*
*/
export type IInit = (g: IGenerator) => Blocks
export type IHook = (g: IGenerator) => void
export interface ICreate {
name: string
g: IGenerator
dataLayout: IDataLayout
index?: number
count?: number
}
export type Create = (args: ICreate) => Block | undefined
/**
* This is the interface for a low level generator. By conforming to it the
* a custom Generator could replace the builtin Generator.
*/
export interface IGenerator {
/**
* Name of the generator.
*/
name: () => string
/**
* Returns the [params](classes/params.html) that used with this Generator.
*/
params: () => Params
/**
* Returns the [Blocks](classes/blocks.html) manager for this Generator.
*/
blocks: () => Blocks
/**
* This component provides methods to manipulate the [stacking](classes/stacking.html)
* order within a layer.
*/
stacking: () => Stacking
/**
* Reset invokes the [init function](globase.html#init) in a Generator. It is called at the
* beginning of each render. It will also call any defined [hook functions](classes/generator.html#hooks)
* at the same time.
*/
reset: () => void
/**
* Returns the named Block or undefined.
*/
lookup: (name: string) => Block | undefined
/**
* This will remove all Blocks forcing the blocks to be recreated on the next
* render.
*/
clear: () => void
/**
* This will return the [Hooks](classes/hooks.html) for this generator. A Hook is a function that
* is called each time reset is called at the beginning of each render. One use a Hook
* to perform animation on a layer. See [rollHook](globals.html#rollHook) as a an example.
*/
hooks: () => Hooks
/**
* This is function that is called in a generator to create a new Block. It is an optional
* function.
*/
create?: Create
/**
* [EditHelper](../classes/edithelper.html) is used to sync builtin edit commands with a custom Editor.
*/
editor?: () => EditHelper | undefined
/**
*
*/
containersize: (size?: ISize) => ISize
}
export class Generator implements IGenerator {
private _name: string
private _editHelper: EditHelper | undefined
private _params: Params
private _blocks: Blocks
private _stacking: Stacking
private _select: Select
private _init: IInit
private _hooks: Hooks
private _create: Create | undefined
private _containersize: ISize
constructor(
name: string,
init: IInit,
params: Params,
create?: Create,
editHelper?: EditHelper
) {
this._name = name
this._init = init
this._editHelper = editHelper
this._create = create
this._blocks = new Blocks([])
this._params = params
this._stacking = new Stacking({ name, params, blocks: this._blocks })
this._hooks = new Hooks()
}
public name = () => {
return this._name
}
public editHelper = () => {
return this._editHelper
}
public params = (): Params => {
return this._params
}
public blocks = (): Blocks => {
return this._blocks
}
public stacking = (): Stacking => {
return this._stacking
}
public select = (): Select => {
return this._select
}
public lookup = (name: string): Block | undefined => {
return this._blocks.get(name)
}
public hooks() {
return this._hooks
}
public containersize(size?: ISize) {
if (size) {
this._containersize = size
}
Iif (this._containersize === undefined) {
this._containersize = { width: 0, height: 0 }
}
return this._containersize
}
public create = (args: ICreate): Block | undefined => {
if (this._create) {
return this._create(args)
}
return undefined
}
public reset = () => {
this._blocks = this._init(this)
this._hooks.run(this)
}
public clear = () => {
this._blocks.map.clear()
}
}
|


--- layout: page title: Services description: Services on Offer. background: '/img/bg-services.jpg' ---
In addition to pharma and laboratory equipment’s, we also provide consulting services /Turnkey Projects for all your needs in the field of:


QuickStart
Let’s take a look at some code examples.
Matrix Operations
Making use of SystemDS, let us multiply an Matrix with an scalar:
import logging
from systemds.context import SystemDSContext
# Create a context and if necessary (no SystemDS py4j instance running)
# it starts a subprocess which does the execution in SystemDS
with SystemDSContext() as sds:
# Full generates a matrix completely filled with one number.
# Generate a 5x10 matrix filled with 4.2
m = sds.full((5, 10), 4.20)
# multiply with scalar. Nothing is executed yet!
m_res = m * 3.1
# Do the calculation in SystemDS by calling compute().
# The returned value is an numpy array that can be directly printed.
logging.info(m_res.compute())
# context will automatically be closed and process stopped
As output we get
[[13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02]
[13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02]
[13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02]
[13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02]
[13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02 13.02]]
The Python SystemDS package is compatible with numpy arrays. Let us do a quick element-wise matrix multiplication of numpy arrays with SystemDS. Remember to first start up a new terminal:
import logging
import numpy as np
from systemds.context import SystemDSContext
# create a random array
m1 = np.array(np.random.randint(100, size=5 * 5) + 1.01, dtype=np.double)
m1.shape = (5, 5)
# create another random array
m2 = np.array(np.random.randint(5, size=5 * 5) + 1, dtype=np.double)
m2.shape = (5, 5)
# Create a context
with SystemDSContext() as sds:
# element-wise matrix multiplication, note that nothing is executed yet!
m_res = sds.from_numpy(m1) * sds.from_numpy(m2)
# lets do the actual computation in SystemDS! The result is an numpy array
m_res_np = m_res.compute()
logging.info(m_res_np)
More complex operations
SystemDS provides algorithm level functions as built-in functions to simplify development. One example of this is l2SVM, a high level functions for Data-Scientists. Let’s take a look at l2svm:
import logging
import numpy as np
from systemds.context import SystemDSContext
from systemds.operator.algorithm import l2svm
# Set a seed
np.random.seed(0)
# Generate random features and labels in numpy
# This can easily be exchanged with a data set.
features = np.array(np.random.randint(
100, size=10 * 10) + 1.01, dtype=np.double)
features.shape = (10, 10)
labels = np.zeros((10, 1))
# l2svm labels can only be 0 or 1
for i in range(10):
if np.random.random() > 0.5:
labels[i][0] = 1
# compute our model
with SystemDSContext() as sds:
model = l2svm(sds.from_numpy(features),
sds.from_numpy(labels), verbose=False).compute()
logging.info(model)
The output should be similar to
[[ 0.02033445]
[-0.00324092]
[ 0.0014692 ]
[ 0.02649209]
[-0.00616902]
[-0.0095087 ]
[ 0.01039221]
[-0.0011352 ]
[-0.01686351]
[-0.03839821]]
To get the full performance of SystemDS one can modify the script to only use internal functionality, instead of using numpy arrays that have to be transfered into systemDS. The above script transformed goes like this:
import logging
from systemds.context import SystemDSContext
from systemds.operator.algorithm import l2svm
with SystemDSContext() as sds:
# Generate 10 by 10 matrix with values in range 0 to 100.
features = sds.rand(10, 10, 0, 100)
# Add value to all cells in features
features += 1.1
# Generate labels of all ones and zeros
labels = sds.rand(10, 1, 1, 1, sparsity=0.5)
model = l2svm(features, labels, verbose=False).compute()
logging.info(model)
When reading in datasets for processing it is highly recommended that you read from inside systemds using sds.read(“file”), since this avoid the transferring of numpy arrays.


Barry Scott<EMAIL_ADDRESS>The CXX Project Page at gives you access to the releases, the Subversion repository, and more.
Python 3 will be supported by PyCXX 6.0.0 which I hope to release close to the release of Python 3.0.
Python 2 will continue to be supported with PyCXX 5.
My aim is to add features to PyCXX 5 that will easy the porting of code to Python 3 using PyCXX 6
Add support for rich compare.
Add the simplest code for a module with a single function and a single class (Demo/simple.cxx)
Fix long standing bugs with Dict::iterator
Add Boolean type from Vivian De Smedt.
Patch from Dmitry Kostjuchenko to which improves PyCXX method's calling speed/performance by almost 2 times.
More PY_LONG_LONG support.
No longer allow creation of Py::Int from PY_LONG_LONG as long long cannot fit. Use Py::Long.
Py:Dict can now be constructed from a Py::Object.
PyCXX has a new BSD license to make it open source compatible. Many thanks to Sebastian Sauer for bring this matter to our attention and to Paul Dubios for working with the LLNL people to get the license changed.
Fix compilation issues with GCC 4.1 found on FC6.
Fix compilation issues caused by problems in IRIX header files.
Add PY_LONG_LONG support from patch contributed by Dmitry Kostjuchenko.
Add support for Python 2.5
Add support for PY_LONG_LONG to Py::Int()
More changes to keep GCC 4.0 happy - no warning should be report
Add interator support - thanks to Helmut Jarausch - see pycxx_iter demo
Allow an extension to be part of a python package
Allow creation of Exception hierachies
Fix problem compiling with GCC 2.9X
Fix uninitialise memory problem
Work around compile problems with the example and GCC 4.0.
No details recorded
Added fixes to support problems reported against GCC4 builds and .NET 2003 builds
Download PyCXX 5.3.1 from SourceForge.
I've added Unicode string support to PyCXX and fixed a number of reported bugs.
See the README and documentation for details.
Download PyCXX 5.3.0 from SourceForge.
-- BArry Scott, October 2004
After a long gap I have updated PyCXX (the name I prefer for CXX) to fix a number of bugs and add a small number of features.
I'm using the development of pysvn to drive the need for fixes and features in PyCXX.
-- Barry Scott, November 2003
CXX/Objects is a set of C++ facilities to make it easier to write Python extensions. The chief way in which PyCXX makes it easier to write Python extensions is that it greatly increases the probability that your program will not make a reference-counting error and will not have to continually check error returns from the Python C API. CXX/Objects integrates Python with C++ in these ways:


We collect and use your information below to provide, understand and improve our Services.
Basic Account Information: if you choose to create an account on Help Desk to contact the Digital Wave Support Team, you enter your email address, name and surname, password, location. This data is not listed publicly. It is saved within the Help Desk program and is used by the technical support only to get in touch with you.
Contact Information: you may provide your contact information, such as your email address, to subscribe to our free newsletter. We may use it to send you information about our services and software updates. You may also unsubscribe from all notifications by following the instructions contained within the notification.
Credit Card Purchase: Digital Wave Ltd. doesn't process credit card data itself. All payments are accepted through the payment service providers https://stripe.com/ and https://www.paypal.com. Information about your credit card is not kept in or recorded by Digital Wave’s computers, it is simply passed through to the credit card company. In this respect, credit card purchase in the internet is like a credit card purchase at any store.
Such information as email address, name and surname, transaction ID, serial number are kept by Digital Wave Ltd for further delivery and/or registration of the product.
Additional Information: if you email us, we may keep your message, email address, and contact information to respond to your request.
Cookies or Web Site Tracking Technologies: during your visit to our website, so-called "cookies" are saved to your computer. These "cookies" register information about the navigation of your computer on our website (loaded pages, date, time of day and length of visit etc.) which we can use to improve our site and service.
We never store passwords or similarly sensitive data in cookies. The use of cookies is common and advantageous. Cookies are used on most larger websites. By indicating how and when visitors use a website, cookies aid us in finding out which areas are popular and which areas are not. Many improvements and updates are based on information supplied by cookies. Cookies can also help us to personalize web content and meet the desires of our visitors.
We use Google Analytics (https://www.google.com/analytics) to track our website traffic. It is a web analytics service offered by Google that tracks and reports website traffic.
We may use your IP address to help diagnose problems with our server, and to administer our website.
Your IP address is also used to help identify you and your time spent at our sites, and to gather broad demographic information. This allows us to see which parts of our sites users are visiting. We do not link IP addresses to anything personally identifiable. This means, for instance, that a user's session will be tracked, but the user will remain anonymous. We do not use this information for any other purposes.
All information is kept on our private servers on https://aws.amazon.com/ and https://www.vultr.com/about/.
You have the option to control the acceptance of cookies yourself and, if you wish, to block them entirely by configuring your browser as follows:
If you use Google Chrome, go to 'Settings' and click 'Show advanced Settings'. Open 'Content Settings' in 'Privacy' part. You can restrict usage of cookies for all websites or selectively. You can also use the Google Analytics Opt-out Browser Add-on: https://tools.google.com/dlpage/gaoptout/?hl=en
Digital Wave Ltd. doesn’t collect any kind of personal information when you use our applications
If there are any questions regarding this privacy policy, you may contact us using the information below.
Contact form: https://support.dvdvideosoft.com
Address: Digital Wave Ltd.
Suite 12, 2nd Floor, Queens House, 180 Tottenham Court Road, London, United Kingdom, W1T 7PD
This version of Privacy Policy is effective since 2018-05-23


| Resident : |
{{residentVehicle.userIdFk.firstName}} {{residentVehicle.userIdFk.middleName}} {{residentVehicle.userIdFk.lastName}}....[{{residentVehicle.userIdFk.unitDetailsIdFk.wingBuilding}}-{{residentVehicle.userIdFk.unitDetailsIdFk.flatNumber}}] |
|
| Available Parking Slots : |
{{residentVehicle.parkingIdFk.parkingNumber}} | |
| Vehicle Number : |
{{residentVehicle.vehicleNumber}} | |
| Make : |
{{residentVehicle.make}} | |
| Model : |
{{residentVehicle. model}} | |
| Type : |
{{residentVehicle.type}} | |
| Insurance Expiry Date : |
{{residentVehicle.insuranceExpiryDate | date:'yyyy/MM/dd'}} | |
| Insurance Company : |
{{residentVehicle.insuranceCompany}} | |
| Sticker Issued : |
{{residentVehicle.stickerIssued}} | |
|
|


From elements
Text fields
Text:
Some inline help text
Password:
A longer block of help text that breaks onto a new line and may extend beyond one line.
Readonly:
Disabled:
Placeholder:
Required:
Textarea:
Select fields
Simple Select:
Multiple select:
Select2 plugin:
Select2 multiple:
Tags:
Checkbox & Radio fields
Default checkbox:
Default radio:
Styled checkbox:
Styled radio:
iButton checkbox
iButton radio:
File fields
Default:
Bootstrap:
Styled:
Pickers
Datepicker:
Timepicker:
Date and time picker:
Colorpicker:
#
Combo boxes
Default:
- HTML
- CSS
- PHP
- JavaScript
- Java
- C#
- Perl
- Basic
Use text as value
Custom:
- HTML
- CSS
- PHP
- JavaScript
- Java
- C#
- Perl
- Basic
Use attribute data-val as value
With search:
- HTML
- CSS
- PHP
- JavaScript
- Java
- C#
- Perl
- Basic
Search items by filled text
Multi-select
Default:
Custom headers and footers:
Validation states
Input with warning:
Something may have gone wrong
Input with error:
Please correct the error
Input with info:
Username is already taken
Input with success:
Woohoo!
Validation states with icon
Input with warning:
Input with error:
Input with success:
Extending form controls
Pre/Appended inputs:
Buttons instead of text:
Button dropdowns:


Intro Content Here Intro Content Here Intro Content Here Intro Content Here Intro Content Here Intro Content Here
Avocado Baked Eggs
1 avocado, halved and pitted2 eggssalt and ground black pepper to taste1 pinch cayenne pepper1/4 cup crumbled cooked bacon1 tablespoon chopped fresh chives
Preheat oven to 425 degrees F (220 degrees C).
Place each avocado half in a ramekin. Crack 1 egg into each avocado half; season with salt, black pepper, and cayenne pepper. Place ramekins on a baking sheet.
Bake in the preheated oven until entire egg is cooked through, about 15 minutes. Sprinkle each avocado with bacon and chives.


MyChat
Why MyChat?
Username
Password
Login
Connect hassle free
Required fields cannot be left blank
Passwords do not match
First Name
Last Name
Username
Email Address
Mobile No.
Password
Confirm Password
I confirm that the above mentioned information is true to the best of my knowledge.
Sign Up


An open community for Python programming enthusiasts.
Join the community
{% if member_count %}
{{ member_count|formatted_number }} Members
{% endif %}
About Us
Welcome to the PySlackers community! We are a growing and inclusive community of Python enthusiasts ranging from those just starting to those who have built their entire career around it. Our community has a range of resources from our main presence on Slack to our community projects .


--- title: About ---
I'm Theodore Baschak and welcome to my food blog. Each week (or several times a month) I try out a new recipe and post it here to share it with the world. If you enjoy any of the recipes I post feel free to leave a comment.
I currently live in Winnipeg, Manitoba, Canada and learned to cook from my mother, father, wife, and various cooking shows on TV. My wife however has really inspired my passion for food, and has introduced me to many new cuisines. She also puts up with my experimentation in the kitchen.
Full-time IT guy trying to cook more often, and maybe lose weight too.
My method for devising recipes usually involves reading several recipes online, talking to other people who have cooked things like what I am trying to cook, and then making my own recipe based on what I am seeing and hearing. By recording what I find successful here, I hope that it will help you as well.
Often when reading a recipe I come across an item that I have never heard of before. Sometimes these ingredients have multiple names, so it helps to search for a name that you may not be familiar with. I've had a lot of luck with the local Sobeys store by my house for a surprising number of items.
For more obscure (or a wider variety of) ingredients I swear by Dino's Grocery Mart on Notre Dame Avenue. If you live in Winnipeg, many of the recipes may require a trek over to Dino's.
Visit to your local ethnic food store! My are of the city has two within a 5km/3mi radius and many more if you extend that to a 10km radius. Ask if you're not sure where to find something, or not sure what you're looking at.


Here is a section where you can talk about how you got into making denim bags, and why it is your passion. Also you can talk about your sustainable practices and how your company is 100% based out of Detroit. I may be typing filler text right now.


--- layout: archive title: Zulip Chat Archive permalink: /stream/217875-Is-there-code-for-X?/topic/distance.20preserving.20maps.html ---
Do we have isometries?
I've never really used metric spaces in mathlib... don't know the library
topology/metric_space/isometry.lean
looks good.
Weird... I don't know how I missed that.
I did a code search for isome*
@Sebastien Gouezel Is there a reason that you included this line https://github.com/leanprover-community/mathlib/blob/93ba8b6d19fc4b93c862de99e0021b502c7e9126/src/topology/metric_space/isometry.lean#L113?
Because a few lines above it, you proved that it follows from L112
I don't remember. Indeed it could be removed at no cost, but having it there makes for a more symmetrical definition, and you have direct access to the fields i.isometry_to_fun
and i.isometry_inv_fun
. Otherwise, it would be a lemma, and basically it wouldn't make any difference. So, no strong opinion in one direction or the other.
If we leave it like this, I guess it would make sense to have a constructor that doesn't require it. Because right now we're shifting the proof-obligation to the user, which is maybe not what we want.
Absolutely. The best move is probably to remove the line from the definition, and add a lemma isometric.isometry_inv_fun
.
Thanks!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Please enable JavaScript
blymp.io needs JavaScript to be enabled in order to work.
Please enable JavaScript to use blymp.io.


Apache Edgent is an effort undergoing Incubation at The Apache Software Foundation (ASF), sponsored by the Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
Copyright © 2016 The Apache Software Foundation. Licensed under the Apache License, Version 2.0. Apache, the Apache Feather logo, and the Apache Incubator project logo are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners.


In the following picture, a sinusoid x(n) with frequency 440 Hz (in red) is passed through a linear shift-invariant system that produces the output y(n) = x(n) - x(n-1). This system computes a first-order difference. The output y(n), shown in blue, is a sinusoid with the same frequency, but the phase is shifted by 90 degrees and the amplitude is smaller.
The sample rate is 8kHz. In this demonstration, we vary the frequency of the input sine wave and notice that the amplitude of the output sine wave varies, but not its frequency. Moreover, we notice that the output is always a sine wave. Indeed, a sinusoidal input to any shift-invariant system always yields a sinusoidal output with the same frequency. Only the phase and amplitude can change. The variation of the output amplitude with frequency is shown in the following plot.
The blue curve shows the "amplitude response" of the first-order difference system. It plots the "gain" (change in amplitude) of the system as a function of the frequency of the input. In red we show a spike that indicates a particular input frequency. As the frequency of the input changes, the spike moves left or right, but its height is always determined by the amplitude response.
In this demonstration, the amplitude response is a fairly simple function. A more elaborate amplitude response is shown in the next demonstration.


TABLE OF INTERACTIONS WITH
CITRATES
From the French ANSM drug interactions document of September 2016, p. 59
CITRATES CLASS CODE: V09HX |
ALUMINUM (SALTS) CLASS CODE: A02AD0-001 |
Risk of facilitation of systemic uptake of the aluminum, especially in case of altered renal function. |
Precaution for use Take the aluminum based gastrointestinal medications at a different time (more than 2 hours apart if possible) from the citrates, including natural citrates (citrus fruit juices). |


To my INCREADIBLR FATHER thankyou for being My first Teacher,fixer of things my personal bodygard,my shield During difficult times.


| Units | Section | Mini | Days | Begin | End | Teaching Location | Bldg/Room | Instructor | |
|---|---|---|---|---|---|---|---|---|---|
| 12.0 | B | TR | 01:30PM | 02:50PM | Pittsburgh, Pennsylvania | GHC 4301 |
|
Description: This graduate course provides an introduction to substructural logics, such as linear, ordered, affine, bunched, or separation logic, with an emphasis on their applications in computer science. This includes the design and theory of programming constructs for concurrent message-passing computation and techniques for specifying and reasoning about programming languages in the form of substructural operational semantics. Prerequisites: This is an introductory graduate course with no formal prerequisites, but an exposure to functional programming and type systems may be helpful. Enterprising undergraduates are welcome to attend this course. Please refer to http://www.cs.cmu.edu/csd-grad/courseschedulef16.html for the most recent schedule updates. CLASSES WILL BEGIN THE WEEK OF SEPTEMBER 5TH.


{% extends 'core/page.html' %} {% load i18n %} {% load socialaccount %} {% load form_tags %} {% block page %}
{% trans 'Please click the button below to login using using your ORCIDiD.' %}
~ alternatively, login with your username and password ~
{% endif %}{% url 'account_signup' as signup_url %} {% blocktrans %}If you have not created an account yet, then please sign up first.{% endblocktrans %}
{% url 'account_reset_password' as reset_url %} {% blocktrans %}If you forgot your password and want to reset it, click here.{% endblocktrans %}
{% url 'socialaccount_connections' as account_connections_url %} {% blocktrans %}If you already have an account, but did not connect your ORCIDiD yet, you can do so on the account connections page.{% endblocktrans %}
{% endblock %}


PRON
: pronoun
This document is a placeholder for the language-specific documentation
for PRON
.
Treebank Statistics (UD_Polish)
There are 18 PRON
lemmas (0%), 78 PRON
types (0%) and 3919 PRON
tokens (5%).
Out of 15 observed tags, the rank of PRON
is: 13 in number of lemmas, 8 in number of types and 6 in number of tokens.
The 10 most frequent PRON
lemmas: się, on, to, ja, siebie, co, my, ty, wszystko, coś
The 10 most frequent PRON
types: się, to, go, jego, ich, jej, mnie, co, mu, sobie
The 10 most frequent ambiguous lemmas: to (PRON 372, VERB 138, AUX 90, CCONJ 13), co (PRON 117, ADP 16)
The 10 most frequent ambiguous types: to (PRON 199, AUX 78, VERB 74, DET 26, CCONJ 13), co (PRON 59, ADP 13, PROPN 1), tym (PRON 71, DET 70, ADV 1), tego (DET 58, PRON 50), je (PRON 51, VERB 1), nim (PRON 44, SCONJ 3), ci (PRON 23, DET 4), wszystkim (PRON 21, DET 3), wszyscy (PRON 12, DET 7), temu (ADP 25, PRON 11)
- to
- co
- tym
- tego
- je
- nim
- ci
- wszystkim
- wszyscy
- temu
Morphology
The form / lemma ratio of PRON
is 4.333333 (the average of all parts of speech is 1.696102).
The 1st highest number of forms (23) was observed with the lemma “on”: go, ich, im, je, jego, jej, jemu, ją, mu, nich, nie, niego, niej, niemu, nim, nimi, nią, on, ona, one, oni, ono, ń.
The 2nd highest number of forms (6) was observed with the lemma “ty”: ci, ciebie, cię, tobie, tobą, ty.
The 3rd highest number of forms (4) was observed with the lemma “co”: co, czego, czemu, czym.
PRON
occurs with 10 features: pl-feat/PronType (3919; 100% instances), pl-feat/Case (2425; 62% instances), pl-feat/Gender (2279; 58% instances), pl-feat/Number (2279; 58% instances), pl-feat/Reflex (1640; 42% instances), pl-feat/Person (1464; 37% instances), pl-feat/Variant (1285; 33% instances), pl-feat/Animacy (1117; 29% instances), pl-feat/PrepCase (1058; 27% instances), pl-feat/Typo (6; 0% instances)
PRON
occurs with 30 feature-value pairs: Animacy=Hum
, Animacy=Inan
, Animacy=Nhum
, Case=Acc
, Case=Dat
, Case=Gen
, Case=Ins
, Case=Loc
, Case=Nom
, Case=Voc
, Gender=Fem
, Gender=Masc
, Gender=Neut
, Number=Plur
, Number=Sing
, Person=1
, Person=2
, Person=3
, PrepCase=Npr
, PrepCase=Pre
, PronType=Dem
, PronType=Ind
, PronType=Int,Rel
, PronType=Neg
, PronType=Prs
, PronType=Tot
, Reflex=Yes
, Typo=Yes
, Variant=Long
, Variant=Short
PRON
occurs with 169 feature combinations.
The most frequent feature combination is PronType=Prs|Reflex=Yes
(1488 tokens).
Examples: się
Relations
PRON
nodes are attached to their parents using 14 different relations: pl-dep/expl:pv (1486; 38% instances), pl-dep/obj (1069; 27% instances), pl-dep/nsubj (490; 13% instances), pl-dep/nmod (319; 8% instances), pl-dep/obl (260; 7% instances), pl-dep/iobj (215; 5% instances), pl-dep/case (32; 1% instances), pl-dep/root (19; 0% instances), pl-dep/conj (10; 0% instances), pl-dep/nsubj:pass (9; 0% instances), pl-dep/ccomp (7; 0% instances), pl-dep/acl (1; 0% instances), pl-dep/cop (1; 0% instances), pl-dep/xcomp (1; 0% instances)
Parents of PRON
nodes belong to 13 different parts of speech: VERB (3239; 83% instances), NOUN (379; 10% instances), ADJ (196; 5% instances), ADP (32; 1% instances), ROOT (19; 0% instances), NUM (15; 0% instances), ADV (12; 0% instances), PRON (10; 0% instances), DET (7; 0% instances), PROPN (4; 0% instances), AUX (2; 0% instances), PART (2; 0% instances), X (2; 0% instances)
3252 (83%) PRON
nodes are leaves.
592 (15%) PRON
nodes have one child.
44 (1%) PRON
nodes have two children.
31 (1%) PRON
nodes have three or more children.
The highest child degree of a PRON
node is 7.


Cultivating Community around software and data
Scott Chamberlain (@sckottie/@ropensci)
UC Berkeley / rOpenSci
Open science ecosytsem
Data
People
Software
rOpenSci &
data providers
After working with A LOT of data providers
- API first! GUI website after (if ever)
- see #1
- see #2
- Think about data size/use cases/how often updated/etc.
- Clients, clients, clients - users may use website, but reproducbility should be paramount
- Reach out to rOpenSci - we can help
for any 1 resource, work can be distributed among groups
- e.g., Fishbase - rOpenSci built/maintains API
- e.g., SeaAroundUs - rOpenSci took over maint. R pkg
- e.g., BIEN - rOpenSci working on building API
ropensci &
software makers
How to nurture comm. around software?
software review!*
nurture comm. members at all entry points (code, docs, bug reports, use cases, etc.)
hire specifically for comm. management (shutout to ours: Stefanie Butland)
helps to have people in many time zones
empower people to do what they love that helps build community *
*: will talk more about these
rOpenSci Software Review
Completely open source tools
Free to run
All reviews/conversations in the open
Reviews are/can be linked to code changes
Paired with submission to a journal - JOSS (more to come ...)
how to make a large and resilient contributor base?
be really nice!!!
> 1 contributor
give direct access to contributors
contributor diversity
turn users into contribs
make software work easier
make software count for tenure/grad school decisions
more
more academic software jobs!!!!
drop "novel" work req.(~software maintenance)
provide (at least facilitate) software training (don't make people learn on their own)
Open Questions
in the face of dwindling budgets, academia not valuing software, etc., how do we:
maintain software through time, while people come and go?
attract at least 2 people to all software projects, no matter how small?
incentivize users and contributors to engage more?
connect users to data through software in a way that facilitates reproducble science?
minimize bad actors from spoiling communities?


{% include 'includes/head.html' %}
{% include 'includes/top-hat.html' %} {% include 'includes/menu.html' %}
Skip to main content
{% block content %} {% endblock content %}
{% include ('includes/blog-sidebar.html' if articles_page or article else 'includes/people-sidebar.html' if people else 'includes/sidebar.html') %}
{% include 'includes/footer.html'%} {% include 'includes/scripts.html' %}


Accumulo Connector#
Overview#
The Accumulo connector supports reading and writing data from Apache Accumulo. Please read this page thoroughly to understand the capabilities and features of the connector.
Installing the Iterator Dependency#
The Accumulo connector uses custom Accumulo iterators in
order to push various information in a SQL predicate clause to Accumulo for
server-side filtering, known as predicate pushdown. In order
for the server-side iterators to work, you need to add the presto-accumulo
jar file to Accumulo’s lib/ext
directory on each TabletServer node.
# For each TabletServer node:
scp $PRESTO_HOME/plugins/accumulo/presto-accumulo-*.jar [tabletserver_address]:$ACCUMULO_HOME/lib/ext
# TabletServer should pick up new JAR files in ext directory, but may require restart
Note that this uses Java 8. If your Accumulo cluster is using Java 7,
you’ll receive an Unsupported major.minor version 52.0
error in your TabletServer logs when you
attempt to create an indexed table. You’ll instead need to use the presto-accumulo-iterators jar file
that is located at https://github.com/bloomberg/presto-accumulo.
Connector Configuration#
Create etc/catalog/accumulo.properties
to mount the accumulo
connector as the accumulo
catalog,
replacing the accumulo.xxx
properties as required:
connector.name=accumulo
accumulo.instance=xxx
accumulo.zookeepers=xxx
accumulo.username=username
accumulo.password=password
Configuration Variables#
Property Name |
Default Value |
Required |
Description |
|---|---|---|---|
|
(none) |
Yes |
Name of the Accumulo instance |
|
(none) |
Yes |
ZooKeeper connect string |
|
(none) |
Yes |
Accumulo user for Presto |
|
(none) |
Yes |
Accumulo password for user |
|
|
No |
Root znode for storing metadata. Only relevant if using default Metadata Manager |
|
|
No |
Sets the size of the index cardinality cache |
|
|
No |
Sets the expiration duration of the cardinality cache. |
Unsupported Features#
The following features are not supported:
Adding columns via
ALTER TABLE
: While you cannot add columns via SQL, you can using a tool. See the below section on Adding Columns for more details.DELETE
: Deletion of rows is not yet implemented for the connector.
Usage#
Simply begin using SQL to create a new table in Accumulo to begin
working with data. By default, the first column of the table definition
is set to the Accumulo row ID. This should be the primary key of your
table, and keep in mind that any INSERT
statements containing the same
row ID is effectively an UPDATE as far as Accumulo is concerned, as any
previous data in the cell will be overwritten. The row ID can be
any valid Presto datatype. If the first column is not your primary key, you
can set the row ID column using the row_id
table property within the WITH
clause of your table definition.
Simply issue a CREATE TABLE
statement to create a new Presto/Accumulo table:
CREATE TABLE myschema.scientists (
recordkey VARCHAR,
name VARCHAR,
age BIGINT,
birthday DATE
);
DESCRIBE myschema.scientists;
Column | Type | Extra | Comment
-----------+---------+-------+---------------------------------------------------
recordkey | varchar | | Accumulo row ID
name | varchar | | Accumulo column name:name. Indexed: false
age | bigint | | Accumulo column age:age. Indexed: false
birthday | date | | Accumulo column birthday:birthday. Indexed: false
This command will create a new Accumulo table with the recordkey
column
as the Accumulo row ID. The name, age, and birthday columns are mapped to
auto-generated column family and qualifier values (which, in practice,
are both identical to the Presto column name).
When creating a table using SQL, you can optionally specify a
column_mapping
table property. The value of this property is a
comma-delimited list of triples, presto column : accumulo column
family : accumulo column qualifier, with one triple for every
non-row ID column. This sets the mapping of the Presto column name to
the corresponding Accumulo column family and column qualifier.
If you don’t specify the column_mapping
table property, then the
connector will auto-generate column names (respecting any configured locality groups).
Auto-generation of column names is only available for internal tables, so if your
table is external you must specify the column_mapping property.
For a full list of table properties, see Table Properties.
For example:
CREATE TABLE myschema.scientists (
recordkey VARCHAR,
name VARCHAR,
age BIGINT,
birthday DATE
)
WITH (
column_mapping = 'name:metadata:name,age:metadata:age,birthday:metadata:date'
);
DESCRIBE myschema.scientists;
Column | Type | Extra | Comment
-----------+---------+-------+-----------------------------------------------
recordkey | varchar | | Accumulo row ID
name | varchar | | Accumulo column metadata:name. Indexed: false
age | bigint | | Accumulo column metadata:age. Indexed: false
birthday | date | | Accumulo column metadata:date. Indexed: false
You can then issue INSERT
statements to put data into Accumulo.
Note
While issuing INSERT
statements is convenient,
this method of loading data into Accumulo is low-throughput. You’ll want
to use the Accumulo APIs to write Mutations
directly to the tables.
See the section on Loading Data for more details.
INSERT INTO myschema.scientists VALUES
('row1', 'Grace Hopper', 109, DATE '1906-12-09' ),
('row2', 'Alan Turing', 103, DATE '1912-06-23' );
SELECT * FROM myschema.scientists;
recordkey | name | age | birthday
-----------+--------------+-----+------------
row1 | Grace Hopper | 109 | 1906-12-09
row2 | Alan Turing | 103 | 1912-06-23
(2 rows)
As you’d expect, rows inserted into Accumulo via the shell or programmatically will also show up when queried. (The Accumulo shell thinks “-5321” is an option and not a number… so we’ll just make TBL a little younger.)
$ accumulo shell -u root -p secret
root@default> table myschema.scientists
root@default myschema.scientists> insert row3 metadata name "Tim Berners-Lee"
root@default myschema.scientists> insert row3 metadata age 60
root@default myschema.scientists> insert row3 metadata date 5321
SELECT * FROM myschema.scientists;
recordkey | name | age | birthday
-----------+-----------------+-----+------------
row1 | Grace Hopper | 109 | 1906-12-09
row2 | Alan Turing | 103 | 1912-06-23
row3 | Tim Berners-Lee | 60 | 1984-07-27
(3 rows)
You can also drop tables using DROP TABLE
. This command drops both
metadata and the tables. See the below section on External
Tables for more details on internal and external
tables.
DROP TABLE myschema.scientists;
Indexing Columns#
Internally, the connector creates an Accumulo Range
and packs it in
a split. This split gets passed to a Presto Worker to read the data from
the Range
via a BatchScanner
. When issuing a query that results
in a full table scan, each Presto Worker gets a single Range
that
maps to a single tablet of the table. When issuing a query with a
predicate (i.e. WHERE x = 10
clause), Presto passes the values
within the predicate (10
) to the connector so it can use this
information to scan less data. When the Accumulo row ID is used as part
of the predicate clause, this narrows down the Range
lookup to quickly
retrieve a subset of data from Accumulo.
But what about the other columns? If you’re frequently querying on
non-row ID columns, you should consider using the indexing
feature built into the Accumulo connector. This feature can drastically
reduce query runtime when selecting a handful of values from the table,
and the heavy lifting is done for you when loading data via Presto
INSERT
statements (though, keep in mind writing data to Accumulo via
INSERT
does not have high throughput).
To enable indexing, add the index_columns
table property and specify
a comma-delimited list of Presto column names you wish to index (we use the
string
serializer here to help with this example – you
should be using the default lexicoder
serializer).
CREATE TABLE myschema.scientists (
recordkey VARCHAR,
name VARCHAR,
age BIGINT,
birthday DATE
)
WITH (
serializer = 'string',
index_columns='name,age,birthday'
);
After creating the table, we see there are an additional two Accumulo tables to store the index and metrics.
root@default> tables
accumulo.metadata
accumulo.root
myschema.scientists
myschema.scientists_idx
myschema.scientists_idx_metrics
trace
After inserting data, we can look at the index table and see there are indexed values for the name, age, and birthday columns. The connector queries this index table
INSERT INTO myschema.scientists VALUES
('row1', 'Grace Hopper', 109, DATE '1906-12-09'),
('row2', 'Alan Turing', 103, DATE '1912-06-23');
root@default> scan -t myschema.scientists_idx
-21011 metadata_date:row2 []
-23034 metadata_date:row1 []
103 metadata_age:row2 []
109 metadata_age:row1 []
Alan Turing metadata_name:row2 []
Grace Hopper metadata_name:row1 []
When issuing a query with a WHERE
clause against indexed columns,
the connector searches the index table for all row IDs that contain the
value within the predicate. These row IDs are bundled into a Presto
split as single-value Range
objects (the number of row IDs per split
is controlled by the value of accumulo.index_rows_per_split
) and
passed to a Presto worker to be configured in the BatchScanner
which
scans the data table.
SELECT * FROM myschema.scientists WHERE age = 109;
recordkey | name | age | birthday
-----------+--------------+-----+------------
row1 | Grace Hopper | 109 | 1906-12-09
(1 row)
Loading Data#
The Accumulo connector supports loading data via INSERT statements, however
this method tends to be low-throughput and should not be relied on when throughput
is a concern. Instead, users of the connector should use the PrestoBatchWriter
tool that is provided as part of the presto-accumulo-tools subproject in the
presto-accumulo repository.
The PrestoBatchWriter
is a wrapper class for the typical BatchWriter
that
leverages the Presto/Accumulo metadata to write Mutations to the main data table.
In particular, it handles indexing the given mutations on any indexed columns.
Usage of the tool is provided in the README in the repository.
External Tables#
By default, the tables created using SQL statements via Presto are internal tables, that is both the Presto table metadata and the Accumulo tables are managed by Presto. When you create an internal table, the Accumulo table is created as well. You will receive an error if the Accumulo table already exists. When an internal table is dropped via Presto, the Accumulo table (and any index tables) are dropped as well.
To change this behavior, set the external
property to true
when
issuing the CREATE
statement. This will make the table an external
table, and a DROP TABLE
command will only delete the metadata
associated with the table. If the Accumulo tables do not already exist,
they will be created by the connector.
Creating an external table will set any configured locality groups as well
as the iterators on the index and metrics tables (if the table is indexed).
In short, the only difference between an external table and an internal table
is the connector will delete the Accumulo tables when a DROP TABLE
command
is issued.
External tables can be a bit more difficult to work with, as the data is stored
in an expected format. If the data is not stored correctly, then you’re
gonna have a bad time. Users must provide a column_mapping
property
when creating the table. This creates the mapping of Presto column name
to the column family/qualifier for the cell of the table. The value of the
cell is stored in the Value
of the Accumulo key/value pair. By default,
this value is expected to be serialized using Accumulo’s lexicoder API.
If you are storing values as strings, you can specify a different serializer
using the serializer
property of the table. See the section on
Table Properties for more information.
Next, we create the Presto external table.
CREATE TABLE external_table (
a VARCHAR,
b BIGINT,
c DATE
)
WITH (
column_mapping = 'a:md:a,b:md:b,c:md:c',
external = true,
index_columns = 'b,c',
locality_groups = 'foo:b,c'
);
After creating the table, usage of the table continues as usual:
INSERT INTO external_table VALUES
('1', 1, DATE '2015-03-06'),
('2', 2, DATE '2015-03-07');
SELECT * FROM external_table;
a | b | c
---+---+------------
1 | 1 | 2015-03-06
2 | 2 | 2015-03-06
(2 rows)
DROP TABLE external_table;
After dropping the table, the table will still exist in Accumulo because it is external.
root@default> tables
accumulo.metadata
accumulo.root
external_table
external_table_idx
external_table_idx_metrics
trace
If we wanted to add a new column to the table, we can create the table again and specify a new column. Any existing rows in the table will have a value of NULL. This command will re-configure the Accumulo tables, setting the locality groups and iterator configuration.
CREATE TABLE external_table (
a VARCHAR,
b BIGINT,
c DATE,
d INTEGER
)
WITH (
column_mapping = 'a:md:a,b:md:b,c:md:c,d:md:d',
external = true,
index_columns = 'b,c,d',
locality_groups = 'foo:b,c,d'
);
SELECT * FROM external_table;
a | b | c | d
---+---+------------+------
1 | 1 | 2015-03-06 | NULL
2 | 2 | 2015-03-07 | NULL
(2 rows)
Table Properties#
Table property usage example:
CREATE TABLE myschema.scientists (
recordkey VARCHAR,
name VARCHAR,
age BIGINT,
birthday DATE
)
WITH (
column_mapping = 'name:metadata:name,age:metadata:age,birthday:metadata:date',
index_columns = 'name,age'
);
Property Name |
Default Value |
Description |
|---|---|---|
|
(generated) |
Comma-delimited list of column metadata: |
|
(none) |
A comma-delimited list of Presto columns that are indexed in this table’s corresponding index table |
|
|
If true, Presto will only do metadata operations for the table. Otherwise, Presto will create and drop Accumulo tables where appropriate. |
|
(none) |
List of locality groups to set on the Accumulo table. Only valid on internal tables.
String format is locality group name, colon, comma delimited list of column families in the group.
Groups are delimited by pipes. Example: |
|
(first column) |
Presto column name that maps to the Accumulo row ID. |
|
|
Serializer for Accumulo data encodings. Can either be |
|
(user auths) |
Scan-time authorizations set on the batch scanner. |
Session Properties#
You can change the default value of a session property by using SET SESSION. Note that session properties are prefixed with the catalog name:
SET SESSION accumulo.column_filter_optimizations_enabled = false;
Property Name |
Default Value |
Description |
|---|---|---|
|
|
Set to true to enable data locality for non-indexed scans |
|
|
Set to true to split non-indexed queries by tablet splits. Should generally be true. |
|
|
Set to true to enable usage of the secondary index on query |
|
|
The number of Accumulo row IDs that are packed into a single Presto split |
|
|
The ratio between number of rows to be scanned based on the index over the total number of rows If the ratio is below this threshold, the index will be used. |
|
|
The threshold where the column with the lowest cardinality will be used instead of computing an intersection of ranges in the index. Secondary index must be enabled |
|
|
Set to true to enable usage of the metrics table to optimize usage of the index |
|
(config) |
User to impersonate when scanning the tables. This property trumps the |
|
|
Short circuit the retrieval of index metrics once any column is less than the lowest cardinality threshold |
|
|
Sets the cardinality cache polling duration for short circuit retrieval of index metrics |
Adding Columns#
Adding a new column to an existing table cannot be done today via
ALTER TABLE [table] ADD COLUMN [name] [type]
because of the additional
metadata required for the columns to work; the column family, qualifier,
and if the column is indexed.
Instead, you can use one of the utilities in the
presto-accumulo-tools
sub-project of the presto-accumulo
repository. Documentation and usage can be found in the README.
Serializers#
The Presto connector for Accumulo has a pluggable serializer framework for handling I/O between Presto and Accumulo. This enables end-users the ability to programmatically serialized and deserialize their special data formats within Accumulo, while abstracting away the complexity of the connector itself.
There are two types of serializers currently available; a string
serializer that treats values as Java String
and a lexicoder
serializer that leverages Accumulo’s Lexicoder API to store values. The
default serializer is the lexicoder
serializer, as this serializer
does not require expensive conversion operations back and forth between
String
objects and the Presto types – the cell’s value is encoded as a
byte array.
Additionally, the lexicoder
serializer does proper lexigraphical ordering of
numerical types like BIGINT
or TIMESTAMP
. This is essential for the connector
to properly leverage the secondary index when querying for data.
You can change the default the serializer by specifying the
serializer
table property, using either default
(which is
lexicoder
), string
or lexicoder
for the built-in types, or
you could provide your own implementation by extending
AccumuloRowSerializer
, adding it to the Presto CLASSPATH
, and
specifying the fully-qualified Java class name in the connector configuration.
CREATE TABLE myschema.scientists (
recordkey VARCHAR,
name VARCHAR,
age BIGINT,
birthday DATE
)
WITH (
column_mapping = 'name:metadata:name,age:metadata:age,birthday:metadata:date',
serializer = 'default'
);
INSERT INTO myschema.scientists VALUES
('row1', 'Grace Hopper', 109, DATE '1906-12-09' ),
('row2', 'Alan Turing', 103, DATE '1912-06-23' );
root@default> scan -t myschema.scientists
row1 metadata:age [] \x08\x80\x00\x00\x00\x00\x00\x00m
row1 metadata:date [] \x08\x7F\xFF\xFF\xFF\xFF\xFF\xA6\x06
row1 metadata:name [] Grace Hopper
row2 metadata:age [] \x08\x80\x00\x00\x00\x00\x00\x00g
row2 metadata:date [] \x08\x7F\xFF\xFF\xFF\xFF\xFF\xAD\xED
row2 metadata:name [] Alan Turing
CREATE TABLE myschema.stringy_scientists (
recordkey VARCHAR,
name VARCHAR,
age BIGINT,
birthday DATE
)
WITH (
column_mapping = 'name:metadata:name,age:metadata:age,birthday:metadata:date',
serializer = 'string'
);
INSERT INTO myschema.stringy_scientists VALUES
('row1', 'Grace Hopper', 109, DATE '1906-12-09' ),
('row2', 'Alan Turing', 103, DATE '1912-06-23' );
root@default> scan -t myschema.stringy_scientists
row1 metadata:age [] 109
row1 metadata:date [] -23034
row1 metadata:name [] Grace Hopper
row2 metadata:age [] 103
row2 metadata:date [] -21011
row2 metadata:name [] Alan Turing
CREATE TABLE myschema.custom_scientists (
recordkey VARCHAR,
name VARCHAR,
age BIGINT,
birthday DATE
)
WITH (
column_mapping = 'name:metadata:name,age:metadata:age,birthday:metadata:date',
serializer = 'my.serializer.package.MySerializer'
);
Metadata Management#
Metadata for the Presto/Accumulo tables is stored in ZooKeeper. You can (and should) issue SQL statements in Presto to create and drop tables. This is the easiest method of creating the metadata required to make the connector work. It is best to not mess with the metadata, but here are the details of how it is stored. Information is power.
A root node in ZooKeeper holds all the mappings, and the format is as follows:
/metadata-root/schema/table
Where metadata-root
is the value of zookeeper.metadata.root
in
the config file (default is /presto-accumulo
), schema
is the
Presto schema (which is identical to the Accumulo namespace name), and
table
is the Presto table name (again, identical to Accumulo name).
The data of the table
ZooKeeper node is a serialized
AccumuloTable
Java object (which resides in the connector code).
This table contains the schema (namespace) name, table name, column
definitions, the serializer to use for the table, and any additional
table properties.
If you have a need to programmatically manipulate the ZooKeeper metadata
for Accumulo, take a look at
com.facebook.presto.accumulo.metadata.ZooKeeperMetadataManager
for some
Java code to simplify the process.
Converting Table from Internal to External#
If your table is internal, you can convert it to an external table by deleting
the corresponding znode in ZooKeeper, effectively making the table no longer exist as
far as Presto is concerned. Then, create the table again using the same DDL, but adding the
external = true
table property.
For example:
1. We’re starting with an internal table foo.bar
that was created with the below DDL.
If you have not previously defined a table property for column_mapping
(like this example),
be sure to describe the table before deleting the metadata. We’ll need the column mappings
when creating the external table.
CREATE TABLE foo.bar (a VARCHAR, b BIGINT, c DATE)
WITH (
index_columns = 'b,c'
);
DESCRIBE foo.bar;
Column | Type | Extra | Comment
--------+---------+-------+-------------------------------------
a | varchar | | Accumulo row ID
b | bigint | | Accumulo column b:b. Indexed: true
c | date | | Accumulo column c:c. Indexed: true
2. Using the ZooKeeper CLI, delete the corresponding znode. Note this uses the default ZooKeeper
metadata root of /presto-accumulo
$ zkCli.sh
[zk: localhost:2181(CONNECTED) 1] delete /presto-accumulo/foo/bar
3. Re-create the table using the same DDL as before, but adding the external=true
property.
Note that if you had not previously defined the column_mapping, you’ll need to add the property
to the new DDL (external tables require this property to be set). The column mappings are in
the output of the DESCRIBE
statement.
CREATE TABLE foo.bar (
a VARCHAR,
b BIGINT,
c DATE
)
WITH (
column_mapping = 'a:a:a,b:b:b,c:c:c',
index_columns = 'b,c',
external = true
);


Materials:
Pizza pan
Small bowl
Medium bowl
Cutting board
Knife
Wooden spoon
|
Rubber scraper
Spatula
Whisk
Saucepan
Cooking spray
Measuring cups |
Directions:
1. Wash hands thoroughly.
2. Over medium high heat, combine in saucepan 1/4 cup sugar, salt, corn starch, and orange juice.
3. Bring to a boil, stirring continuously.
4. Let boil for 1 minute, then remove from heat and let cool.
5. In medium bowl, mix bisquick and water.
6. Press bisquick mixture onto oiled pizza pan until even thickness throughout.
7. Bake crust at 425 degrees for 10 to 12 minutes or until brown.
8. In small bowl mix cream cheese, vanilla, and 3 tablespoons sugar, set aside.
9. Wash fruit. Dice into bite size pieces and toss with lemon juice.
10. Spread cream cheese onto cooled crust.
11. Place diced fruit on top.
12. Spoon cooled glaze over fruit.
13. Place in refrigerator for 20 minutes until glaze is set.
14. Cut and serve.
Nutrition Information Per Serving (11/8 cup):
Calories: 301
% of calories from fat: 16%
Sugar: 28g
Calcium: 17%
Iron: 7%
Vitamin C: 72%
Vitamin A: 13%
Servings of fruits and vegetables: .75


The page you're looking for doesn't exist. Which is not surprising. I just went through a major site redesign.
I would suggest doing a search from the search box in the upper corner of the page.
Or use one of the links at the top of the page to explore.


This is a little page about me. I work in the IT support field. My GF and I moved here about 8 years ago and have loved it ever since. We have 3 cats who terrorize us and I am a heavy gamer! We love the outdoors and all things tech!


@Hermes yep just unblocked it from bull guard looks like im in, i just generated a passphrase and wrote it down, do i just use this to log in if i have sent funds not sure really how it all works
TonyL23-Sep-18 09:55 AM
@Pumba Please use your passphrase to login (input it to the "passphrase" field and click login). It's happens that loading hangs in case of empty passphrase input
recent updates allow a 100% private chain to be notarized. ok, so that makes it so the notarization tx are not z-transactions, but only notaries can even send a transparent tx. the coinbase is also required to be transparent, but all else must be a z transaction. Once dPoW is active, this will be the most private blockchain with BTC level security. Unfortunately, it cant to CC, or even multisig. it is purely a z-transaction coin. which also means it is basically technically complete now!
Its emission will be 200 million coins, with a halving every 10 months or so. current blockreward and for the next 9 months is 256 PIRATE. #pirate for more info.
4
4
3
4
4
8
2
snowdamn23-Sep-18 08:40 PM
thank God it can't CC and multisig, need to leave something for KMD
bishop23-Sep-18 08:40 PM
Why change the emission?
CHIPs situation?
jl777c23-Sep-18 08:40 PM
yes, it was on pace to halving every 2 months and within 2 years the blockreward too small
bishop23-Sep-18 08:41 PM
got it
jl777c23-Sep-18 08:41 PM
likely enough time to solve it, but this way there is 10 years to solve the issue
since we didnt hit the first halving yet, nobody was effected
granted a theoretical dilution of the existing PIRATE holders, but pretty sure all agree that it is better to have a 10 year emission than 2 years
eclips24-Sep-18 07:09 AM
hi
why dPOW and not opentimestamp ?
jl777c24-Sep-18 08:19 AM
how can you tell if a blockhash is protected by a timestamp? the whole point is to be able to tell apart competing blocks, that will have very similar timestamps
[TPUX] Djith Wattignies24-Sep-18 02:28 PM
Yoo.. question.
Can i swap kmd for chainzilla on hyperdex?
What fees?
ComputerGenie 👴👴👴24-Sep-18 02:34 PM
Yoo.. answer.
Yes.
Should be ~2-3x "standard" tx fees if you're selling to an existing buyer
@CryptoSabo @satoshillN @CryptoCoinsNews I just like talking facts. Its also quite brave to call komodo better tech with 120x slower blocks times than EOS but we. Why would you even need so many tps while platform is completely unusable XD
Was hoping someone could add their 2 cents
jl777c24-Sep-18 07:25 PM
why, he has 38 followers?
clearly some nonsense EOS guy
2
1
1
1
Killua24-Sep-18 07:26 PM
True
eduard24-Sep-18 08:37 PM
hello, can anyone here in the group tell me how much Komodo Tokens are available to claim?
Cryptoon24-Sep-18 08:38 PM
5% yearly of everything you hold
hastrup24-Sep-18 08:39 PM
How is the 1 mil tx test coming along?
Cryptoon24-Sep-18 08:39 PM
#dev-scalability
ComputerGenie 👴👴👴24-Sep-18 08:40 PM
@jl777cToday at 2:25 PM
why, he has 38 followers?
That's 36 more than I have
2
eduard24-Sep-18 08:41 PM
How much Komodo Tokens will there be isgasamt or how much is there in total?
SHossain24-Sep-18 08:43 PM
Komodo is not a token, but a coin. It is expected to reach 200 Million over the course of next 12 years.
eduard24-Sep-18 08:44 PM
ok, Thanks
jl777c24-Sep-18 08:47 PM
in 1000 years, there will still be less than a billion KMD
Tommyboy5024-Sep-18 09:19 PM
In 1000 years I doubt there'll be much of anything the way we're going
Some really good entries on reddit
ComputerGenie 👴👴👴24-Sep-18 09:21 PM
In 1000 years @jl777c will be coding KMD 9.8 and all will be good
Tommyboy5024-Sep-18 09:21 PM
I'm proud of this community and how it has grown in a great sign
If growth in the community, in new interest and talent continues the future for komodo is bright
PIRATE notarizations has started. only 9 months left before halving
Deleted User25-Sep-18 08:42 AM
In my spare time today I figured out my future Accumulate 100,000 kmd, wait for 7.5b marketcap. Sell with 50% cgt discount and pay taxman to avoid jail time. Walk away with $7,000,000. Buy a 1m waterfront house, invest 4m with expected returns of 5.5% pa after inflation, leaving me with 220,000 interest per year, half to family half to retirement fund. Leave 1m in Komodo claiming 5% per year. 250k in gold and silver bullion as emergency. 250k for travelling the world and eating lobster daily for a year or 2, 500k to fuck around with for the first year including cars boats and a fuck load of cocaine and lsd
Then retire quietly in some little country with no fucks to give
A man can dream
jl777c25-Sep-18 08:45 AM
such a specific dream has the danger of becoming real. be careful!
1
Deleted User25-Sep-18 08:46 AM
I mean to be fair it isn’t unreasonable for us to get to the 5-7b marketcap should things go decently well and for the crypto market to see a semi run up from these levels
Here’s to the crypto gods looking over kmd
jl777c25-Sep-18 08:48 AM
the more specifically you visualize something, the more focus it has and the more likely for it to become real
of course the less likely something is to happen, the more energy you need to put into your visualization, like actually working toward it
Deleted User25-Sep-18 08:49 AM
I’m gonna make a magick sigil
Funny how law of attraction, Buddhism, some of the hippy third eye theories and some ancient magick practises all tie in together with the whole visualise -> reality idea
You have vision so I’m sure Komodo is in good hands
actionslacks25-Sep-18 09:08 AM
cocaine and lsd seems like an interesting combination. never tried that one
NutellaLicka25-Sep-18 09:09 AM
sounds like 'the secret' to me jl(edited)
snowdamn25-Sep-18 09:11 AM
useless combination but what do i know lol
jl777c25-Sep-18 09:14 AM
strong visualization makes you stop doing things that dont contribute toward the vision
once other people also share the vision, you get more and more people doing things to help actualize it
really, it is a matter of probabilities.
that is why quantum physics and spiritualism have a lot in common at the core, two sides of the same coin
anyway this is #talk-other-topics
We are looking for someone to very actively market PIRATE
it is complete and the most private chain in all of crypto that is also secured by dPoW
NutellaLicka25-Sep-18 09:18 AM
Head over to #pirate for OTC trading and more information!
actionslacks25-Sep-18 09:21 AM
otc trading only?
NutellaLicka25-Sep-18 09:21 AM
At the moment yes
jl777c25-Sep-18 09:22 AM
cant atomic swap PIRATE
it is only for private tx
NutellaLicka25-Sep-18 09:23 AM
And as JL has spoken about before, Pirate would be most beneficial being on a CEX
snowdamn25-Sep-18 09:35 AM
can't really get into the assetchain thing with KMD still low
i can see promoting the feature, but not particular chains
instamine assetchain galore will hurt Komodo at this stage IMHO
i understand PIRATE has a unique feature, but it's not the 1st to be promoted
Komodo has a long way to go it seems...(edited)
actionslacks25-Sep-18 09:40 AM
I think if it coincides with agama integration and some tutorials on z transactions it could be an attention getter
snowdamn25-Sep-18 09:42 AM
attention getter maybe due to it having something unique (which won't be true for other assetchains), but many resources and dev sweat away from Komodo with these assetchains, etc.
jl777c25-Sep-18 09:48 AM
It took me less than a weekend to add dPoW to PIRATE
actionslacks25-Sep-18 09:48 AM
sometimes little side projects blossom into their own things
jl777c25-Sep-18 09:48 AM
and PIRATE is its own thing
the concept of independent chains is that they are independent
why should all KMD chains have to somehow be centrally coordinated with KMD?
if a chain is complete and ready to go, it is complete and ready to go
snowdamn25-Sep-18 09:49 AM
yes, this is why i said promoting the feature itself will probably be more beneficial at this stage
jl777c25-Sep-18 09:49 AM
the fact that KMD ecosystem was able to spawn a PIRATE with very little incremental effort is a testament to the power of KMD
and a pure privacy coin secured by dPoW has a place in the cryptosphere, independent of KMD, but everybody that encounters PIRATE will not be able to ignore KMD
the idea is with independent chains marketing independently, we reach independent markets


{% extends "error.html" %} {% block error_detail %} Looks like you got something wrong. Jupyter has lots of moons, but this is not one... Back to Login {% endblock %}
Jupyter has lots of moons, but this is not one...


What we do
To create a vibrant platform to provide support for entrepreneurs working in sectors that can create massive impact in the communities. Sector focus are Agriculture, Energy, Fintech, Health and Education – the aim is to accelerate innovations within the space to solve the pressing issues in Nigeria and beyond.
Call for Applications
The call will run for six weeks to encourage participations across the country; the web portal will provide the platform for all submissions and subsequent evaluations. Experts trained by Enterprise Lab and other relevant partners will deploy the marking scheme to evaluate the concepts and rank them accordingly.
Cohort Selection
The top 25 ideas will participate in a 3 days boot camp to redefine their offering, tweak their model where possible and refine their business model canvas. The top 10 ideas will be admitted in the 10 weeks programme.
Investment Pitch
The investment pitch is in the final week of the 10 weeklong programmes, with the outcome of selecting the top 5 ideas that will receive funding.
Core PROGRAMMES
We Have This Ability to accelerate you to succeed in Business
Design Studio
This is to train entrepreneurs using the methodology of the human centered design, a creative approach for solving problems and creating solutions that meet the market requirement through the lens of the end users
Incubation
The incubation programme is designed to provide a platform for proof of concept for entrepreneurs.
eLounge
This is the networking platform of ELAB. It provides an opportunity to mingle with the right crowd – collaborators, funders, established entrepreneurs, mentors and media.
Acceleration Series
The Greenovate Challenge is 10-weeks acceleration programme focused on disruptive and innovative ideas in agriculture. It is designed for innovators and disruptors creating scalable ideas, business models, disruptive technologies and innovations to promote food security in Nigeria.
Approach
Explore the Procedure that we use when Execute New Projects
Orientation and Curriculum
The participants will be exposed to fundamentals of Entrepreneurship, Design Thinking, Agricultural Innovations and Business Canvas. The goal is to provide the needed information, structure and system to create viable agriculture ventures
Patient and Cheap Financing
Partners will provide the Seed Fund for successful participants in partnership with identified reputable organizations and government agencies. In addition, the winners will also have access to other funding opportunities.
Delivery and Facilitators
Facilitators are established entrepreneurs, researchers and successful consultants. The delivery methodology will be via presentations, group discussions and homework.
Network and Mentoring
Participants will gain valuable experience through interactions with mentors, entrepreneurs’ network, market linkages and peer-to-peer learning.


Alex Moeller
Home
Gallery
(current)
Github
Next
Calendar page from my Android Application, Apple A Day.


Requirements
- Connect the Kvaser and this laptop to the same Wi-Fi network.
- Find the IP of the Kvaser. It should be something like <IP_ADDRESS>
- Set the same IP into the Settings window
- Select which logs to produce. The output will be available in the logs/ directory
- The software will connect to the Kvaser and start receiving CAN messages via the Canking REST API
For more info, please open a browser to https://github.com/raceup/yolo


Bayesian nonparametric approach for clustering that is capable to combine different types of variables (continuous, ordinal and nominal) and also accommodates for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. The package performs the clustering model described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <arXiv:1612.00083>.
| Version: | 1.2.4 |
| Depends: | R (≥ 2.10) |
| Imports: | compiler, gplots, MASS, matrixcalc, mvtnorm, plyr, Rcpp, truncnorm |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | scatterplot3d |
| Published: | 2017-09-26 |
| Author: | Christian Carmona [aut, cre], Luis Nieto-Barajas [aut], Antonio Canale [ctb] |
| Maintainer: | Christian Carmona <carmona at stats.ox.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | BNPMIXcluster results |
| Reference manual: | BNPMIXcluster.pdf |
| Package source: | BNPMIXcluster_1.2.4.tar.gz |
| Windows binaries: | r-devel: BNPMIXcluster_1.2.4.zip, r-release: BNPMIXcluster_1.2.4.zip, r-oldrel: BNPMIXcluster_1.2.4.zip |
| OS X binaries: | r-release: BNPMIXcluster_1.2.4.tgz, r-oldrel: BNPMIXcluster_1.2.4.tgz |
| Old sources: | BNPMIXcluster archive |
Please use the canonical form https://CRAN.R-project.org/package=BNPMIXcluster to link to this page.


Grocery Analytics
Item Analytics
Store Traffic
Grocery Store Analytics
Store Analytics
Store ID
Most Restocked Items
Most Wasted Items
Least Visited Aisle
Most Visited Aisle


Kiran Rabbani
Ping Pong Link Here
HTML,CSS,Bootstrap,Java
Ping Pong will count up to the given number from 1 with the following exceptions:


Holmburger's burgers
Which burger would you like?
A little tip: pick the burger you think you'll like the most.
{{burger.name}}
{{burger.name}}
{{burger.name}}
Chosen items: {{checkedValue}}
Personal details
We need some information to deliver your burger.
Payment method
Details: {{formDetails[0]}} {{formDetails[1]}}
Payment method: {{selected}}
Gender: {{picked}}
Click in the map!
Open dispatcher in new window.
T


{% include head.html %}
{% include header-absolute.html %} {% include page_content.html %} {% include footer-absolute.html %} {% include js.html %}


In CSS angles are interpolated linearly, so interpolation between two angles close to PI and -PI goes through 0, making full rotation.
In JavaScript we can use some math to achieve torque-minimal rotation.
Click on the left part of the gray box to see the difference.


SimpleDateFormat is not synchronized. Sun recomends separate format instances for each thread. If multiple threads must access a static formatter, the formatter must be synchronized either on method or block level.
This rule is deprecated, use {rule:squid:S2156} instead.


Project Summary¶
Problem Desctiption¶
The underlying objective is to predict the relevancy’s of the search query with various attributes of the search term provided by the user. The output search relevancy score should be in the range of (1,3).
Dataset¶
The data set of Home Depot Search Relevance has been obtained from Kaggle dataset repository (https://www.kaggle.com/c/home-depot-product-search-relevance/data) and it includes the following attribute fields:
- ID: a unique Id field which represents a (Search Term, Product ID) pair
- Product Unique ID: an Id for the products
- Product Title: the product title
- Product Description: Text description of the product (may contain HTML content)
- Search Term: Search query by users.
- Relevance: Average of the relevance ratings for a given Id
The files given in the dataset are listed below:
- train.csv: Training Data
- test.csv: Testing Data
- attributes.csv: The extended attributes of every product in the dataset
- product_descriptions.csv: All the attributes related to the query
This project is cleaning, analysing and visualizing the dataset.
Methodology¶
Data Exploration
A data exploratory analysis is performed on the dataset to look into the attributes of the dataset and explore the trends in the data.
The resultant output gives an overview of the statistics of product data and provides a frequency distribution on the attributes.
The python scripts used:
hd_dataMerge.py
hd_freqDist.py
Initial cleaning and processing of data
Initially the input data is cleaned and preprocessed before the analysis. This project uses the following techniques for cleaning the data:
- Stemming
- Find common words
- Find frequency of words
- Replace extra characters
- Substitution to search query terms
- Split two words
The python scripts used:
hd_ReadData.py
hd_Preprocessing.py
Analysis of data
This component applies Random Forest and Bagging Regression Techniques on the test and train input data to successfully predict the search relevancy scores.
The python scripts used:
hd_DataAnalysis.py
hd_Algorithm.py
Visualization
The python scripts used:
hd_visualization.py
This component generates five types of visualizations, given below:
Visualization Files generated by function ‘LineChart’:
LineChart - Search Relevancy VS Product Id
LineChart - Product Id VS Search Relevancy
LineChart - Relevancy Count VS Possible Relevancy
Visualization Files generated by function ‘Histogram’:
Histogram - Frequency of Relevancies
Visualization Files generated by function ‘Wordcloud’:
WordCloud - Search Terms(in Train Data)
WordCloud - Search Terms(in Test Data)
WordCloud - Search Terms(in Combined data)
Visualization Files generated by function ‘PieChart’:
Piechart - Relevancies - 2 Splits
Piechart - Relevancies - 4 Splits
Piechart - Relevancies - 8 Splits
Visualization Files generated by function ‘ScatterPlot’:
ScatterPlot - Count of All Relevancies
Code References¶
The project uses the Kaggle kernel mentioned below as a reference for it’s development.
https://www.kaggle.com/the1owl/home-depot-product-search-relevance/rf-mean-squared-error


--- title: Demo Project keywords: fastai sidebar: home_sidebar summary: "This is solely to explain the steps involved in building a library out of your notebooks and `nbdev`." description: "This is solely to explain the steps involved in building a library out of your notebooks and `nbdev`." nb_path: "nbs/index.ipynb" ---
$ git clone https://github.optum.com/yreddy31/demo-nbdev
$ nbdev_build_lib
$ cd nbs && ln -s ../demo . && cd ..
$ nbdev_test_nbs
$ nbdev_build_docs
$ make docs_serve
index.ipynb
should be the notebook that introduces users to your library.
You just need to add the important code snippets and the docs will be automatically built.
c = Circle(10)
print(f'Area:\t\t{c.area}\nPerimeter:\t{c.perimeter}')
DONE!


---
layout: post
title: Bye Bye Netflix DVDs...
categories: []
tags:
- geek
- iptv
- media
- netflix
- tv
status: publish
type: post
published: true
meta:
_original_post_id: ''
_original_import_author: John Duprey
author:
---
There. Its done. I've dropped my Netflix DVD/Bluray plan due to the
price hike. I'm now streaming only, which is pretty much the bulk of how I used the service anyway. But when they
lose Starz next year, I'll have to reconsider if the unlimited streaming at 8/month is worth it.
I guess I'll have to drag my butt to a Redbox if I want to watch a new release or spend $4/rental from iTunes or Amazon VOD.
But its hard to blame Netflix for these problems. The movie and television industry do not want content consumed this way. We are spending way too much for media from our cable company, but
at this rate, we'll never be able to "
cut the cord."


Merry Merkle tree is a decentralized giving project enabled by the Ethereum Blockchain. This holiday season, we’re challenging the Toronto and global crypto community's generosity in donating what they can to a Toronto homeless youth shelter (Covenant House) via the “Merry Merkle Tree” structure!
Donate Learn More Telegram NewsletterJoin us for a night of festivities and crypto enabled generosity. To help raise $25,000 for a great cause!
Merry Merkle Initiative is hoping to raise
$25,000 in support of programs at Covenant House Toronto.
That amount will provide a month of meals for all
96 kids living in their Crisis Shelter. Every donation will illuminate part of the tree bringing hope and
light to the kids during this holiday season.
As Canada’s largest agency serving at-risk, homeless and trafficked youth, Covenant House Toronto provides the widest
range of services and support to as many as 250 youth a day. More than a place to stay, we provide 24/7 crisis shelter
and transitional housing on-site and in the community, along with comprehensive services including education, counselling,
health care, employment assistance, job training and aftercare.
To do all this, we rely on donors for more than 80 percent of our $27-million annual operating budget. Our doors
are open to youth 16 to 24 regardless of race, religion, sexual orientation, gender identity or the circumstances
that have brought them to our doors.
Since opening our doors in 1982, Covenant House has served almost 95,000 young people.
Donate to the Ether Wallet below.
0x78f47F9E7088F8b55145248C8D3Efd9451acEc47


Supports redirection, piping, environment variables, background and foreground process execution etc
IOT-Controlled wireless motor
An Embedded Systems Workshop project
The project involves a motor that is controlled either based on proximity sensors or remotely controlled via Wifi
Uses Arduino to control the speed of the motor via PWM. For remote control of the motor, the ESP32 board is made the server and a web page (UI) is rendered at the client side
Protocols used for communication and data storage include OneM2M and Thingspeak
Resort Chain DBMS
An emulation of a Database Management System for a resort chain
The database is created using SQL
Functionality and operations on the database are done using Python and PyMySQL
Personal Website
Built using HTML5, CSS, Javascript and JQuery
Uses the Bootstrap framework
VLabs experiment
Recreating an experiment for the Computer Organization Lab in VLabs


This is a local instance - features requiring
the server
will not work
The Futuwear Portal
Your posture
No sensors live.
Your browser doesn't support iframes, so we can't visualise real-time posture data.
Git
|
Vör


Cloud Storage
This article mainly focuses on below topics: - What is Cloud Storage? - How does it works? - Benefits of Cloud Storage - Cloud Storage requirement - Types of Cloud Storage - Product and services offered by different vendors
What is Cloud Storage?
Cloud Storage is a cloud computing model in which data is transmitted and stored on remote storage systems, where it is maintained, managed, backed up and made available to users over a network — typically, the internet. It’s delivered on demand with just-in-time capacity and costs, and eliminates buying and managing your own data storage infrastructure. This gives you agility, global scale and durability, with “anytime, anywhere” data access.
How does it works?
Cloud Storage is purchased from a third party cloud vendor who owns and operates data storage capacity and delivers it over the Internet in a pay-as-you-go model. Typically, you connect to the storage cloud either through the internet or a dedicated private connection, using a web portal, website, or a mobile app. The server with which you connect forwards your data to a pool of servers located in one or more data centers, depending on the size of the cloud provider’s operation.Applications access Cloud Storage through traditional storage protocols or directly via an API.
Cloud Storage is available in private, public and hybrid clouds.
-
Public Cloud Storage: In this model, you connect over the internet to a storage cloud that’s maintained by a cloud provider and used by other companies.
-
Private Cloud Storage: Private Cloud Storage setups typically replicate the cloud model, but they reside within your network, leveraging a physical server to create instances of virtual servers to increase capacity. You can choose to take full control of an on-premise private cloud or engage a Cloud Storage provider to build a dedicated private cloud that you can access with a private connection.
-
Hybrid Cloud Storage: This model combines elements of private and public clouds, giving organizations a choice of which data to store in which cloud.
Benefits of Cloud Storage
-
Total Cost of Ownership: With Cloud Storage, there is no hardware to purchase, storage to provision, or capital being used for "someday" scenarios. You can add or remove capacity on demand, quickly change performance and retention characteristics, and only pay for storage that you actually use. Less frequently accessed data can even be automatically moved to lower cost tiers in accordance with auditable rules, driving economies of scale.
-
Time to Deployment: Cloud Storage allows IT to quickly deliver the exact amount of storage needed, right when it’s needed. This allows IT to focus on solving complex application problems instead of having to manage storage systems.
-
Information Management: Centralizing storage in the cloud creates a tremendous leverage point for new use cases. By using Cloud Storage lifecycle management policies, you can perform powerful information management tasks including automated tiering or locking down data in support of compliance requirements.
-
Scalability: Growth constraints are one of the most severe limitations of on-premise storage. With Cloud Storage, you can scale up as much as you need. Capacity is virtually unlimited.
Limitations of Cloud Storage
-
Security: Security concerns are common with cloud-based services. Cloud Storage providers try to secure their infrastructure with up-to-date technologies and practices,but occasional breaches have occurred, creating discomfort with users. Security is shared responsibility with cloud providers and users.
-
Latency: Delays in data transmission to and from the cloud can occur as a result of traffic congestion, especially when you use shared public internet connections.
-
Regulatory compilance: Certain industries, such as healthcare and finance, have to comply with strict data privacy and archival regulations, which may prevent companies from using Cloud Storage for certain types of files, such as medical and investment records.
Type of Cloud Storage
Majorly, below are main types of Cloud Storage:
-
Object Storage: It manages data as objects. Each object includes the data in a file, its associated metadata, and an identifier. Objects store data in the format it arrives in and makes it possible to customize metadata in ways that make the data easier to access and analyze. Instead of being organized in files or folder hierarchies, objects are kept in repositories that deliver virtually unlimited scalability. Since there is no filing hierarchy and the metadata is customizable, object storage allows you to optimize storage resources in a cost-effective way. For example, S3(Simple Storage Service) in AWS, Blob Storage in Azure and Google Cloud Storage in GCP are object storage.
-
File Storage: The file storage method saves data in the hierarchical file and folder structure with which most of us are familiar. The data retains its format, whether residing in the storage system or in the client where it originates, and the hierarchy makes it easier and more intuitive to find and retrieve files when needed. File storage is commonly used for development platforms, home directories, and repositories for video, audio, and other files. For example, EFS and FSx are file storage services in AWS, azure file storage in Azure and Google Cloud Filestore in GCP.
-
Block Storage: Block storage, sometimes referred to as block-level storage, is a technology that is used to store data files on Storage Area Networks (SANs) or cloud-based storage environments. Developers favor block storage for computing situations where they require fast, efficient, and reliable data transportation.Block storage breaks up data into blocks and then stores those blocks as separate pieces, each with a unique identifier. The SAN places those blocks of data wherever it is most efficient. Block storage also decouples data from user environments, allowing that data to be spread across multiple environments. This creates multiple paths to the data and allows the user to retrieve it quickly. For example, EBS in AWS and Google Cloud Persistent Disks in GCP.
Also, archival and database services can be considered for data storage
Products & Services
Below table contains services from different cloud vendors:
| Vendor | Storage Services | Database Services | Backup Services |
|---|---|---|---|
AWS |
• Simple Storage Service (S3) |
• Aurora |
Glacier |
Azure |
• Blob Storage |
• SQL Database |
• Archive Storage |
GCP |
• Cloud Storage |
• Cloud SQL |
None |


Enum ServerTypes
Specifies the type of software the computer is running.
Namespace: Cadru.Net.NetworkInformation
Assembly: Cadru.Net.NetworkInformation.dll
Syntax
public enum ServerTypes : long
Fields
| Name | Description |
|---|---|
| All | All server types. |
| AllDomains | Lists available domains. |
| AlternateTransport | Return list for alternate transport. |
| AppleFileProtocol | Apple File Protocol servers. |
| BackupBrowser | Server running a browser service as backup. |
| BackupDomainController | Backup domain controller. |
| Cluster | Server clusters available in the domain. |
| DFS | Root of a DFS tree. |
| DialIn | Server running dial-in service. |
| DomainController | Primary domain controller. |
| DomainMaster | Server running the domain master browser. |
| DomainMember | LAN Manager 2.x domain member. |
| DSS | IBM DSS (Directory and Security Services) or equivalent. |
| LocalListOnly | Return local list only. |
| MasterBrowser | Server running the master browser service. |
| MicrosoftFilePrintForNetware | Microsoft File and Print for NetWare. |
| Novell | Novell servers. |
| OSF | OSF server. |
| PotentialBrowser | Server that can run the browser service. |
| PrintQueue | Server sharing print queue. |
| Server | All computers that have the server service running. |
| SqlServer | Any server running Microsoft SQL Server. |
| TerminalServer | Terminal Server. |
| TimeSource | Server running the Timesource service. |
| Unix | Unix server. |
| Unknown | Unknown server type. |
| VirtualCluster | Cluster virtual servers available in the domain (Not supported for Windows 2000/NT). |
| VMS | VAX VMS server. |
| Windows | Windows 95 or later. |
| WindowsForWorkgroups | Server running Windows for Workgroups. |
| WindowsNT | Windows NT workstation or server. |
| WindowsNTServer | Server that is not a domain controller. |
| Workstation | All workstations. |
| Xenix | Xenix server. |


I 'm an award winning, passionate, and driven creative professional. With experience as an Art Director, Graphic Designer, and Web Developer, no challenge is too big or small! I am dedicated to creating and delivering elegant marketing solutions for clients and projects of all sizes. I thrive in collaborative environments and I constantly learn, grow, and adapt.
So, to learn more about me, scroll down to check out some work samples, click the links below and take a look at my resumé.