-
Class Summary
| Class |
Description |
| ConnectionStub |
Extend this class to create your own custom Connection class.
You will need to write a constructor which connects to the source in any way that's appropriate.
|
| DatabaseMetaDataStub |
|
| JsonBackedResultSet |
This is a ResultSet implementation which is backed by a JSON object.
|
| JsonBackedResultSetMetadata |
This is a ResultSetMetaData implementation which is backed by a JSON object.
|
| JsonBackedStatement |
This is a PreparedStatement implementation which is backed by a JSON object.
|
Package com.thereisnogravity.jdbcstub Description
The package is intended as the simple base for a JDBC driver for Java 8.
Only queries are supprted, and - much like a CSV file - the only datatype is VARCHAR.
It uses Google Gson 2.6.2 internally to store data and metadata. A dataset is represented as a JsonObject with the following attributes:
- JsonObject "metadata"
- JsonArray "names" containing the column names as simple strings
- JsonArray "data"
- Data record 1 - JsonObject containing attributes named the same as the above column names
- Data record 2 - ditto
- ...
To use the library:
- Put JDBC-Stub.jar in your CLASSPATH
- Write a class which extends DatabaseMetaDataStub, especially to define what tables and columns are available
- Write a class which extends ConnectionStub, especially in prepareStatementImpl() to define how the data is converted into a JsonBackedStatement
- Include a constructor which accepts a String URL and a Properties argument.
- The getMetaData() method should return your extended DatabaseMetaDataStub.
- Override prepareStatementImpl() to return a JsonBackedStatement object. You define the columns and the contents. You can use getBaseJson() to get the JSON object started.
- If the query is a SELECT COUNT(*).. you can use the helper method getRowcountStatement() to easily return a JsonBackedStatement for the count.
- Write a class which implements java.sql.Driver. Decide your URL pattern. The connect() method should return your extended ConnectionStub class
- It's important that your connect() and acceptsURL() methods agree with each other. At runtime, the JVM DriverManager will probably call connect() for every registered JDBC driver. So your connect() method will probably get called with a variety of unsupported URLs. When that happens you must return null rather than throwing a SQLException.


Using ProcDump to get a dump of the lsass process. Requires ProcDump to be copied to the target machine.
ProcDump.bat just to help facilitate 'one click' execution
at \\<IP_ADDRESS> 20:55 C:\windows\temp\procdump.bat
From there you'll have a dump file, copy it back from the remote host and use mimikatz alpha to retrieve the creds from the dump file. This has the advantage of not worrying about mimikatz detection on the target.
from the mimikatz blog post:
#Switch to minidump
mimikatz # sekurlsa::minidump lsass.dmp
mimikatz # sekurlsa::logonPasswords


Exclusive: John Barnes comments on Chelsea FC’s start to the season
John Barnes offers his thoughts on Frank Lampard's strong start to his reign in charge at Chelsea FC
by The Sport Review staffJohn Barnes has praised Frank Lampard for the impact he has had at Chelsea FC this season but has warned that there is still a long way to go.
The former England midfielder has been earning lots of praise for the job he’s been doing at Stamford Bridge after having been brought in to replace Maurizio Sarri at the club in the summer.
Lampard has placed his faith firmly in youth this season and has been trusting the likes of Tammy Abraham and Mason Mount as regulars in his first team.
Chelsea FC have been in fine form in recent weeks and they have won their last six games in the Premier League to leave them third in the table and eight points behind leaders Liverpool FC.
England legend Barnes has been impressed by the impact Lampard has had at Stamford Bridge this season – but has warned that a dip in form is to be expected.
Speaking in an exclusive interview with The Sport Review, Barnes said: “I’ve been very impressed [with Lampard’s start at Chelsea FC], because of course with not being able to sign players and with young players coming in, you expect inconsistency.
“The first game of the season [at Man United] they should never have lost 4-0, it wasn’t a 4-0 game.
“They’ve done really well and been consistent. There may come a time when all of a sudden they drop a bit and we have to expect that, understand that and support that.
“If they lose a few games or don’t perform for a few games, we can’t say that they’re not a good team or not good players, we have to understand that.
“At the moment, things are going very well for them. But of course there is still a long way to go, so you can’t make a judgement – positively or negatively – when we haven’t even reached December yet.”
Chelsea FC will return to Premier League action after the international break when they take on Manchester City away from home on Saturday evening.
The Blues finished third in the table and won the Europa League last season.


WINUX
Are you tired of Windows messing up your PC? Did Windows update once again without your permission? Do you want to feel secure?
We at Winux have a solution for you! Our experts can release you from the iron grip of Microsoft Windows and replace it with a beautiful Linux distribution!
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There are many different Linux distributions for different tastes. Some of them look like Windows, but they don't act like Windows!
Check out DistroWatch for different distributions and make sure they are actively developed.
Our recommendations are Linux Mint, Makulu Linux and Zorin OS
Dont be afraid, Linux does not mean command line and stuff!


Isar735.github.io
The Purdue University Online Writing Lab serves writers from around the world and the Purdue University Writing Lab helps writers on Purdue's campus. 2018 IB Extended Essay Guide - Shaker.
Write my Essay Online for an Affordable Price! - Order. Buy essay online at professional essay writing service. Order custom research academic papers from the best trusted company. Just find a great help for students Crash Course in Jewish History is "a comprehensive, thoughtful and highly educational survey of Jewish history.” - Sir Martin Gilbert. In one volume.
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CarbonNitrogenPhosphorus
Mycorrhizae & Rhizobia
Growth Forms in Angiosperms
Earth-Shaping Feedbacks
Landscape-Scale Leaf Sampling, Forest Floor to Canopy Top
Soil Analyses in a Decade-Long Liana Removal Study
The microbiome of green infrastructure
Response of soil bacterial community to oil palm plantations and reforestation
Identification of edaphic specialists and generalists, including ectomycorrhizal fungi
Colloquium video about teaching science in museums


Implementation for the SPI Flash with xDMA driver. More...
#include "chip.h"
Macros | |
| #define | USE_SPI_DMA |
| xDMA support More... | |
| #define | DMA_SPI_LLI 2 |
| xDMA Link List size for SPI transmission More... | |
Functions | |
| static void | SPID_Rx_Cb (uint32_t channel, Spid *pArg) |
| SPI xDMA Rx callback Invoked on SPi DMA reception done. More... | |
| static uint8_t | _spid_configureDmaChannels (Spid *pSpid) |
| Configure the DMA Channels: 0 RX, 1 TX. More... | |
| static uint8_t | _spid_configureLinkList (Spi *pSpiHw, void *pXdmad, SpidCmd *pCommand) |
| Configure the DMA source and destination with Linker List mode. More... | |
| uint32_t | SPID_Configure (Spid *pSpid, Spi *pSpiHw, uint8_t spiId, uint32_t spiMode, sXdmad *pXdmad) |
| Initializes the Spid structure and the corresponding SPI & DMA hardware. More... | |
| void | SPID_ConfigureCS (Spid *pSpid, uint32_t dwCS, uint32_t dwCsr) |
| Configures the parameters for the device corresponding to the cs value. More... | |
| uint32_t | SPID_SendCommand (Spid *pSpid, SpidCmd *pCommand) |
| Starts a SPI master transfer. More... | |
| uint32_t | SPID_IsBusy (const Spid *pSpid) |
| Check if the SPI driver is busy. More... | |
Variables | |
| static uint32_t | spiDmaTxChannel |
| static uint32_t | spiDmaRxChannel |
Implementation for the SPI Flash with xDMA driver.
| #define DMA_SPI_LLI 2 |
xDMA Link List size for SPI transmission
| #define USE_SPI_DMA |
xDMA support
|
static |
Configure the DMA Channels: 0 RX, 1 TX.
Channels are disabled after configure.
Configure the DMA source and destination with Linker List mode.
| pCommand | Pointer to command |
| uint32_t SPID_Configure | ( | Spid * | pSpid, |
| Spi * | pSpiHw, | ||
| uint8_t | spiId, | ||
| uint32_t | spiMode, | ||
| sXdmad * | pXdmad | ||
| ) |
Initializes the Spid structure and the corresponding SPI & DMA hardware.
select value. The driver will uses DMA channel 0 for RX and DMA channel 1 for TX. The DMA channels are freed automatically when no SPI command processing.
| pSpid | Pointer to a Spid instance. |
| pSpiHw | Associated SPI peripheral. |
| spiId | SPI peripheral identifier. |
| pDmad | Pointer to a Dmad instance. |
| void SPID_ConfigureCS | ( | Spid * | pSpid, |
| uint32_t | dwCS, | ||
| uint32_t | dwCsr | ||
| ) |
Configures the parameters for the device corresponding to the cs value.
| pSpid | Pointer to a Spid instance. |
| cs | number corresponding to the SPI chip select. |
| csr | SPI_CSR value to setup. |
| uint32_t SPID_IsBusy | ( | const Spid * | pSpid | ) |
Check if the SPI driver is busy.
| pSpid | Pointer to a Spid instance. |
|
static |
SPI xDMA Rx callback Invoked on SPi DMA reception done.
| channel | DMA channel. |
| pArg | Pointer to callback argument - Pointer to Spid instance. |
Starts a SPI master transfer.
This is a non blocking function. It will return as soon as the transfer is started.
| pSpid | Pointer to a Spid instance. |
| pCommand | Pointer to the SPI command to execute. |
|
static |
|
static |


I'm an adventurous web developer with a passion for creating exciting and intuitive user experiences. When I'm not advancing my coding skills, I'm on the search for the latest and greatest vegan junkfood, or exploring the Pacific Northwest with my two dogs.


The Aeris Weather API is one of the most complete and advanced weather APIs available and quickly gives you access to many different types of weather information.
Out of the box, Aeris.js provides a suite of tools for rendering weather maps and widgets, using data from the Aeris API. Maps can be rendered using the [Google Maps API or OpenLayers.
Usage of the Aeris API requires an Aeris API developer account. Visit hamweather.com to sign up for a free account.
The Aeris maps library...
However, the subject is interpolated into a deconstructivist theory that includes language as a totality. Bataille uses the term ‘neotextual cultural theory’ to denote the bridge between society and class.
"Society is intrinsically impossible," says Baudrillard; however, according to Pickett[1] , it is not so much society that is intrinsically impossible, but rather the collapse, and subsequent defining characteristic, of society. Any number of appropriations concerning pretextual theory exist.
Representation of an Aeris Radar layer.
new aeris.maps.layers.Radar(opt_attrs, opt_options);
| Parameter | Type | Description | |
opt_attrs |
Object | Radar layer attributes | optional |
opt_attrs |
Object | optional |
| Method | Return value | Description |
setMap(map:Map)
|
none | Add the radar layer to a map. |
getMap() |
Map |
Radar.on('load', function(radarLayer, status) {});
| Event parameter | Type | Description |
layer |
AbstractTile | The layer which has been loaded. |
status |
LayerLoadedStatus | Status of the loaded layer. |
Radar.on('load:error', function(loadingError) {});
| Event parameter | Type | Description |
layer |
AbstractTile | The layer which has been loaded. |
status |
LayerLoadedStatus | Status of the loaded layer. |


̌
Document
Corporate Logos
Colored Logos
Reversed Logos
Brochures
Sales Kit
Event Brochures
Post Event Brochures
Banners
Event Banners
Ad Banners
Survery / Others


+++ title = "Taking it easy at the Green Tortoise" slug = "taking-it-easy-at-the-green-tortoise" date = 2007-03-24T11:00:00+10:00 tags = ["dreary", "chilled"] locations = ["united-states/san-francisco"] draft = false summary = """
Wasn't feeling too good today. Crap in my throat, could barely talk, and quite tired. Must have been the oversupply of meeting and greeting and drinking, and the shortage of sleep, that I experienced over the past two days at DrupalCon. The weather was also rather unspectacular today. So I just took it easy at the Green Tortoise here in SF, drank lots of tea, and spent most of the day using the free Wi-Fi here to update this blog.
""" [[comments]] title = "Dude, I got the same thing..." date = 2007-03-27T04:14:58+10:00 author_name = "Jonathan Lambert" author_url = "http://www.firebright.com" content = """I came down with it just at the end of Day 1.
Make sure you get plenty of rest - this thing has been hard to kick (it's doing most of the kicking).
Jonathan
""" +++Wasn't feeling too good today. Crap in my throat, could barely talk, and quite tired. Must have been the oversupply of meeting and greeting and drinking, and the shortage of sleep, that I experienced over the past two days at DrupalCon. The weather was also rather unspectacular today. So I just took it easy at the Green Tortoise here in SF, drank lots of tea, and spent most of the day using the free Wi-Fi here to update this blog.


Editing a game
Javascript part
var board = pgnEdit('board', {});
HTML part

See the back link to the original examples page.
Use PgnViewerJS for viewing a game with the option to edit it by adding variations, comments, ...So start playing on the board, take moves back, and test variations. Not all buttons are implemented, but the PGN button works and displays the current game in the pgn notation (including comments).


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Makes 25
Dietary
These miniature cakes are perfect for a posh afternoon tea.
Preheat the oven to 190C/375F/Gas 5. Grease and line a 20cm/8in square cake tin.
Beat together the butter and sugar in a bowl until light and fluffy. Beat in the eggs, a little at a time, until well combined. (If the mixture looks like it is curdling add a spoonful of the flour.) Fold in the flour and add a little milk if the mixture looks a stiff.
Spoon the cake batter into the cake tin and level using the back of a spoon. Bake for 35-40 minutes, or until golden-brown and a skewer inserted into the middle comes out clean.
Remove the cake from the oven, set aside to cool for five minutes, then turn out and allow to cool completely upside down, on a wire rack.
Meanwhile, for the sugar syrup, heat the sugar and water in a saucepan until the sugar has dissolved. Stir in the lemon essence.
For the filling, beat the butter in a bowl until soft and smooth, slowly beat in the icing sugar. Continue to beat until fluffy.
Very carefully, using the longest knife you have, remove the dark crust from the top of the cake and turn the cake upside down. Then cut the cake in half horizontally.
Drizzle or brush the bottom cake layer with the sugar syrup and then spread with the buttercream. Top with the jam and carefully sandwich with the top half of the cake.
Wrap the cake in cling film and chill for 2-3 hours, this will make it easier to cut the cake later.
Lightly dust the work surface with icing sugar and roll out the marzipan to the same size as the cake. Once the cake is chilled. brush the top of the cake with the sieved apricot jam. Carefully lift the marzipan onto the cake smooth it flat along the top of the cake and cut off any excess marzipan. Cut the cake into equal 25 x 4cm/1½in squares.
 Reserve three tablespoons of the icing into another bowl, cover with cling film and set aside.
Divide the remaining icing into three bowls. Add a few drops of green food colouring to one of the bowls of icing and mix until smooth. Repeat with the other bowls of icing using the pink and yellow food colouring.
Coat the cake squares with the icing, easing the icing down the sides of the cakes until you have an even coating all over the cakes. Sit the cakes on a cooling rack until the icing is set.
Spoon the reserved icing into a piping bag with a very fine nozzle and pipe simple decorations onto the fondant fancies. Squeeze a little of the icing onto the sugar flowers and use them to decorate the fondant fancies.


Trust and Safety
DirectREV's Trust and Safety program leverages people, policies, and technology to help create a safer display marketplace for brand-conscious advertisers and publishers.
DirectREV Media Delivery Platform is a real-time digital ad marketplace that connects publishers with agencies, ad networks and third-party technology providers.
DirectREV's Trust and Safety program leverages people, policies, and technology to help create a safer display marketplace for brand-conscious advertisers and publishers.
campaign management solutions are built to help advertisers and agencies achieve maximum performance, increase engagement and improve return on ad spend.
DirectREV offers intuitive tools for bidding and impression valuation, and encourages relationships among seat holders to enhance both buyers' and sellers' success.
By opting out you are taking an active position not to support the pubilshers whose websites you visit and whose content you consume free of charge. In doing so you threaten the long term viability of their operations.


---
layout: post
esbma_id: 1791
title: Video of my presentation from OSCON 2010
date: 2010-08-14 13:56:34
---
For those who are interested, we've posted the video of
my presentation at OSCON on YouTube.
I had a few problems when displaying my slide deck at the
conference. When I'm speaking at an event, I usually like to use whatever
equipment is provided. To be assured of compatibility between my MacBook Pro
and the projector, I would need to bring like [what seems like] 23 different
video adapters. It's easier to just bring my slide deck on a thumb drive.
The email from the conference organizers told us there would
be "Dell laptops" in the room. I remember thinking how boneheaded it was of
them to be running Windows at the Open Source convention, but I complied and
brought my slides as a PowerPoint file.
And then I got there and discovered that I was the one being
a bonehead for assuming that "Dell laptop" == "Windows + Office". Actually, those
Dell laptops were running Linux with OpenOffice.org. Anyway, OO.org imported
my .pptx file, but it botched the formatting in some rather unexpected and
entertaining ways.
Moving Forward
Since OSCON ended three weeks ago, folks on our team have
been taking their summer vacations, but we've still made some good progress:
- After hearing lots of (well deserved) complaints from
people trying to build 64-bit Veracity, we expanded our continuous
integration build farm to do both 32 and 64 bit builds, debug and release,
on all our platforms.
- We had just missed our goal of dogfooding Veracity's
bug-tracking features before OSCON, but after another round of
improvements to the Web UI stuff, now we're using Veracity not just for
source control, but also for project tracking.
- We implemented Mercurial-style version numbers. They're
specific to one instance of a repo, but still kind of handy.
- We started work on letting Veracity run through mainstream
web servers (instead of only using its embedded web server).
- We did lots of bug fixes, including some deep polishing
and testing work on patterns for include/exclude settings.
- I've been working in a private branch, focused mostly on
improving performance:
- Every changeset record has a blob list which is used for
making things like push/pull and incremental indexing efficient. For
changesets which are a DAG merge (more than one parent), we need to
normalize that blob list to ensure that the exact same list is
constructed on each side of the merge. Our previous normalization code
was additive. It walked the DAG back to the lowest common ancestor and
added any blob which wasn't present on both sides. Gradually, this
caused those blob lists to keep getting bigger and bigger, which turned
out to be a nasty performance probem that gets worse as the repo grows.
So, I switched the normalization code to remove any blob which was
present in the blob list of any ancestor. This is a lot harder to
calculate, but it results in a much tighter list.
- The changeset record for a database DAG includes a
delta. When that changeset is a merge, the delta is calculated against
the lowest common ancestor of the two parents. However, when it comes
time to store that delta for later use by the indexing code, it would be
better to calculate an equivalent delta against one of the two parents.
- In a Veracity database, every record has two fields:
recid and rectype. However, some our databases just don't need both of
these fields. For example, recid is really only useful if you plan to
modify records, but the audit DBs are filled with record that never get
modified. Similarly, if a DB only has one record type, we don't need
every single record to have a field reminding us what the name of that
type is. So, I made a bunch of changes to allow a Veracity DB to exclude
one or both of these fields. Eliminating the need to store, retrieve,
index and obey these superfluous fields resulted in a nice perf increase.
- I went through and made dozens of little optimizations in
the indexer. Remember to always use SQLite's prepared statements in
loops. Make sure every blob getting indexed only gets loaded once. Tune
the hash table which represents JSON objects.
- I found and fixed a few GC rooting bugs in our SpiderMonkey
code. BTW, I can't wait until we can upgrade to new
and improved version of the JS engine. I greatly dislike the fact
that SpiderMonkey doesn't have a wider int.
- Unfortunately, some of my changes break compatibility, so
I've been writing a script to migrate all our data. This week I'll merge
with the trunk and we'll do what we call a "repository reboot".
- This firehose of detail is mostly just the ramblings of
yet another blogger who is under the delusion that anybody cares about
the mundane elements of his day. Which reminds me, Thursday morning for
breakfast I had iced coffee with an omelet made of red peppers,
Portobello mushrooms, and provolone. Anyway, on the off chance that
anything here wants to get discussed, meet me on the Veracity
mailing list.
After things settle down just a
bit more, we'll be ready to start publishing nightly tarballs.


CreatePreferences()
语法
Result = CreatePreferences(Filename$ [, Flags])概要
Creates a new empty preference file. If the file already exists, the file is erased.
参数
Filename$ The filename of the new preference file. Flags (可选) 可以是下列值的组合︰ #PB_Preference_NoSpace: no spaces will be put around the equal sign joining key and values. It can be useful when dealing with external preferences files which doesn't accept spaces around equal sign. #PB_Preference_GroupSeparator: add an empty line between the groups to ease readability of the file.
返回值
Nonzero if the file has been successfully created, zero otherwise.
备注
Once created, the functions like WritePreferenceString() can be used to write data. When values are written in preferences, it's possible to read them back with the functions like ReadPreferenceString().
To remove a key or a group, use RemovePreferenceKey() and RemovePreferenceGroup(). To create or change the current group, use PreferenceGroup().
Once all write operations are done, ClosePreferences() needs to be called to really write the preferences back to disk.
示例
; Create a preference file nammed Setup.ini CreatePreferences(GetTemporaryDirectory()+"Setup.ini") ; Create a group named "Window" PreferenceGroup("Window") WritePreferenceLong ("X", 10) ; X = 10 WritePreferenceLong ("Y", 10) ; Y = 10 WritePreferenceLong("W", 800) ; W = 800 WritePreferenceLong("H", 600) ; H = 600 WritePreferenceFloat("%", 20) ; % = 20.000000 WritePreferenceString("Title", "PureNote") ; Title = "PureNote" ; Close the preference file ClosePreferences()
参阅
ClosePreferences()
已支持操作系统
所有


LITTLE SHOP OF HORRORS
October 1998 at the Arabian Theatre
Director - Wess Hughes
Music Director - Sue Bush
Stage Manager - Sara Bartran
THE CAST
Mr. Mushnik - Steven Nowicki
Seymour - Jackie Thomas
Audrey - Catherine Nowicki, Chan Geddie
Orin - Mike Weber, Dave Martindale
Audrey II - Kenny James, Albert Ray
Ronnette - Virginia Terrell
Crystal - Suzanne Heflin
Chiffon - Missy McCraw
Marvelette - Cora Wade-Seals
Shirelle - Pam Ward
Dixie Cup - Connie McAlpin
Shangri La - Ashley Tanner
Diamond - Edith Parker
Chordette - Jan McRae
Ruby - Kelly McRainey
Velour - Kristi Armstrong
Voice from Above - Bill Mullins
The Little 'Audrey Twos'
Bethany Fagan, Stacy Fagan, Alexandra Gieger, Quent Haas,
Clay Ivey,Will Ivey, Samantha Nowicki, Sarah Robinson,
Erica Simmons


Lab#8
:: JSP Practice ::
GET and POST Methods to Read Form Data
Provide your information.
StudentID:
First Name:
Last Name:
Select which selection you are taking:
COMP322003
COMP322004
Nothing


home
a little about everything
resume
get to know me
samples
some of my work
blog
a little useless info
contact
get in touch
Interactive
Resume


Poseidon Dashboard
Dashboard
Bar Charts
Donut Charts
Maps
Bar Chart
Frequency of Customers to a Store


A command-line tool to determine Starlink beam planning.
The technology stack used for beamplan
is a Python (3.7+) environment, with a standard venv
Python virtual environment. The command-line tool can be used on Linux (tested for Ubuntu 20.04), Windows (tested for Windows 10), and macOS (tested for Catalina).
For the best, most intuitive use (via UNIX shell), the use of Linux is recommended.
| Category | Technology | Description |
|---|---|---|
| Language | Python (3.7+) | An interactive programming language |
| Virtual environment | venv | A lightweight virtual environment |
| OS | Linux (Ubuntu), Windows and macOS | Tested for all three (Windows 10 and Catalina) |
Before any installation of repository-specific content, ensure that your environment is set up per instruction below.
If you do not have your developmental environment set up already...no worries! Instructions for Linux set up will be provided here, and reference guides will be provided for the other operating systems as well.
These instructions were tested for Ubuntu 20.04+, and can likely be applied to most Debian-based systems.
First, the latest version of Python (3.X) must be installed in order to to get the rest of the environment set up.
The instructions below are prescribed for a bash UNIX shell user. If you happen to not be using this set up...no worries! A reference for Python installation for most Linux systems can be found here.
apt
, with the following command:$ sudo apt-get update
$ sudo apt-get install python3.9 python3-pip
To verify your installation, run the following command:
$ python --version
If it reverberates with the latest version you installed, your set up for Python is complete. If not, please refer to this in-depth guide with troubleshooting and other methods of installation.
venv
Once Python is installed, it is highly recommended to install venv
, a lightweight Python virtual environment package. It is simple to set up and very useful for controlling a development environment.
The instructions below are prescribed for a bash UNIX shell user. If you happen to not be using this set up...no worries! A reference to install venv
can be found here.
venv
module$ sudo apt-get install python3-venv
For other operating systems, the download(s) are all still the same, they just need to be done through different means.
For Windows, download Python following this guide, and install venv
the same way as presented for Linux.
For macOS, download Python following this guide, and venv
will automatically be installed with it.
The rest of the instructions for the package follow the same idea as the rest of the document.
After following and verifying the instructions to set up your environment, clone the repository if you do not have it already.
$ git clone https://github.com/rdekovich/beamplan.git
Navigate into the repository.
$ cd beamplan/
Create a virtual environment (in this case, it's named env
) with Python venv
, and source it open. This is for bash UNIX shell. Follow the venv
reference documents here to create a virtual environment for your project clone.
$ python3 -m venv env
$ source env/bin/activate
Your terminal window should now show the sourced environment.
$ (env) rdekovich@ubuntu: -
Now, run the setup.py
setuptools file to install all site-packages and scripting aliases to the local virtual environment.
$ pip install -e .
The package is now set up. You can now invoke the beamplan
package as an executable, as such.
$ beamplan var/tests/00_example.txt
The following table is all invocation options, with examples using them.
| Argument | Required | Description | Example |
|---|---|---|---|
| INFILE | Yes | Input file to the beamplan tool | $ beamplan infile.txt |
| --debug, -d | No | Routes stdout to an output file INFILE.out |
$ beamplan infile.txt --debug |
| --help | No | Package help string for this table | $ beamplan --help |
The following table outlines the heuristic coverages achieved with the given version(s). All constraints are met, and each test allocates less than 1GB memory and runs less than 15 minutes.
| Test | v0 | brute |
|---|---|---|
| 00_example.txt | 100% | 100% |
| 01_simplest_possible.txt | 100% | 100% |
| 02_two_users.txt | 100% | 100% |
| 03_five_users.txt | 80% | 80% |
| 04_one_interferer.txt | 0% | 0% |
| 05_equatorial_plane.txt | 99.8% | ? |
| 06_partially_fullfillable.txt | 76.68% | ? |
| 07_eighteen_planes.txt | 97.8% | ? |
| 08_eighteen_planes_northern.txt | 78.92% | ? |
| 09_ten_thousand_users.txt | 90.55% | ? |
| 10_ten_thousand_users_geo_belt.txt | 81.45% | ? |
| 11_one_hundred_thousand_users.txt | 29.25% | ? |


Updating a Service
By the end of this exercise, you should be able to:
- Update a swarm service's underlying image, controlling update parallelism, speed, and rollback contingencies
Creating Rolling Updates
First, let's change one of our services a bit: open
orchestration-workshop-net/worker/Program.cs
in your favorite text editor, and find the following section:private static void WorkOnce(){ Console.WriteLine("Doing one unit of work"); Thread.Sleep(100); // 100 ms
Change the
100
to a10
. Save the file, exit the text editor.Rebuild the worker image with a tag of
<Docker ID>/dc_worker:1.1
, and push it to Docker Hub.Start the update:
PS: node-0 orchestration-workshop-net> docker service update dc_worker ` --image <Docker ID>/dc_worker:1.1
Tasks get updated to our new 1.1 image one at a time. Keep watching until all of your workers have been updated to the new image version.
Parallelizing Updates
We can also set our updates to run in batches by configuring some options associated with each service. Change the update parallelism to 2 and the delay to 5 seconds on the
worker
service by editing its definition instack.yml
:worker: image: training/dc_worker:1.0 networks: - dockercoins deploy: endpoint_mode: dnsrr replicas: 10 update_config: parallelism: 2 delay: 5s
Roll back the worker service to 1.0:
PS: node-0 orchestration-workshop-net> docker stack deploy -c 'stack.yml' dc
Run
docker service ps dc_worker
every couple of seconds, as above; you should see pairs of worker tasks getting shut down and replaced with the 1.0 version, with a 5 second delay between updates (this is perhaps easiest to notice by examining theNAME
column - every worker replica will start with one dead task from when you upgraded in the last step; you should be able to notice pairs of tasks with two dead ancestors as this rollback moves through the list, two at a time).
Auto-Rollback Failed Updates
In the event of an application or container failure on deployment, we'd like to automatically roll the update back to the previous version.
Update the
worker
service, this time from the CLI, with some parameters to define rollback:PS: node-0 orchestration-workshop-net> docker service update ` --update-max-failure-ratio=0.2 ` --update-monitor=20s ` --update-failure-action=rollback ` dc_worker
These parameters will trigger a rollback if more than 20% of services tasks fail in the first 20 seconds after an update.
Make a broken version of the
worker
service to trigger a rollback with; try removing all theusing
commands at the top ofworker/Program.cs
, for example. Then rebuild the worker image with a tag<Docker ID>/dc_worker:bugged
, push it to Docker Hub, and attempt to update your service:PS: node-0 orchestration-workshop-net> docker image build ` -t <Docker ID>/dc_worker:bugged worker PS: node-0 orchestration-workshop-net> docker image push ` <Docker ID>/dc_worker:bugged PS: node-0 orchestration-workshop-net> docker service update dc_worker ` --image <Docker ID>/dc_worker:bugged
Several worker tasks should attempt to update to the
:bugged
image, but after enough of these updates fail, the update is halted and rolled back to the previous version of the image automatically:PS: node-0 worker>docker service update dc_worker --image training/dc_worker:bugged dc_worker overall progress: rolling back update: 0 out of 10 tasks 1/10: starting [============================================> ] 2/10: ready [======================================> ] 3/10: ready [===========> ] 4/10: ready [======================================> ] 5/10: ready [======================================> ] 6/10: ready [===========> ] 7/10: starting [============================================> ] 8/10: ready [===========> ] 9/10: assigned [===========================> ] 10/10: running [==================================================>] rollback: update rolled back due to failure or early termination of task potgxcb3mhxvsq04hrsbfrviz
Finally, do
docker service ps dc_worker
one last time to see the results of the rollback:PS: node-0 worker>docker service ps dc_worker ID NAME IMAGE ... DESIRED STATE CURRENT STATE b11oaafcp8by dc_worker.1 training/dc_worker:1.0 ... Running Running 21 seconds ago zn75m2i3ej9w \_ dc_worker.1 training/dc_worker:bugged ... Shutdown Failed 33 seconds ago hiuj9nbcqu4g \_ dc_worker.1 training/dc_worker:bugged ... Shutdown Failed about a minute ago m9vw8eabc8oa \_ dc_worker.1 training/dc_worker:bugged ... Shutdown Failed about a minute ago 1ne2992nbfq0 \_ dc_worker.1 training/dc_worker:bugged ... Shutdown Failed about a minute ago l5q8tu7hkaoi dc_worker.2 training/dc_worker:1.0 ... Running Running 34 seconds ago yn6syswiw964 \_ dc_worker.2 training/dc_worker:bugged ... Shutdown Failed 45 seconds ago 3dpphwi4ipqz \_ dc_worker.2 training/dc_worker:bugged ... Shutdown Failed about a minute ago kjey2u5pi07z \_ dc_worker.2 training/dc_worker:1.0 ... Shutdown Shutdown about a minute ago 8u6nabylcwc9 \_ dc_worker.2 training/dc_worker:1.1 ... Shutdown Shutdown 5 minutes ago
The failed deployment of
:bugged
images has been rolled back to the previous:1.0
image.
Shutting Down a Stack
To shut down a running stack:
PS: node-0 orchestration-workshop-net> docker stack rm <stack name>
Where the stack name can be found in the output of
docker stack ls
.
Conclusion
In this exercise, we explored deploying and redeploying an application as stacks and services. Note that relaunching a running stack updates all the objects it manages in the most non-disruptive way possible; there is usually no need to remove a stack before updating it. In production, rollback contingencies should always be used to cautiously upgrade images, cutting off potential damage before an entire service is taken down.


This 1-word form of the LDS instruction is only used on ATtiny10-based devices. Other AVR devices use the LDS.
Description:
Loads one byte from the SRAM section of the data space to a register.
An 8-bit address in the range 0x40 <= k <= 0xBF must be supplied. The assembler will calculate an 7-bit offset into the SRAM memory from this address, hence this instruction is capable of addressing up to 128 bytes of SRAM. This instruction cannot be used to load I/O addresses, use the IN instruction for this purpose.
Operation:
(i)Rd ← (k)
Syntax: Operands: Program Counter:
(i)LDS Rd,k 16 ≤ d ≤ 31, 0x40 ≤ k ≤ 0xBF PC ← PC + 1
16-bit Opcode:
|
1010 |
0kkk |
dddd |
kkkk |
Status Register (SREG) and Boolean Formula:
|
I |
T |
H |
S |
V |
N |
Z |
C |
|---|---|---|---|---|---|---|---|
|
- |
- |
- |
- |
- |
- |
- |
- |
Example:
lds r2,$40 ; Load r2 with the contents of data space location $FF00 add r2,r1 ; add r1 to r2 sts $40,r2 ; Write back
Words:1 (2 bytes)
Cycles:1


Hello World! I am a full stack software developer. I love a good code challenge and learning about new tech tools to improve my code. Prior to becoming a software developer I was a school teacher in the K-12 public school systems. I taught English and social studies to newcomer and multilingual students.
My passions are exploring new places, traveling, yoga, long grueling walks, and running. My hopes for the near future are to adopt a furry friend and to be able to wake up each day dedicated to creating cool tech solutions on my macbook! I'm fluent in JavaScript and currently learning Python3.


--- title: Chris May 2016 Playlist author: Chris short: More groovy tunes for times when you need to chill down category: plus comments: true published: true image: /images/chris_may_2016_playlist.jpg ---
It's been a pretty stressful month because I'm moving at home, moving at work, preparing to be a Dad, and preparing to DM my first DnD game in a really long time and I don't want to let my NRDs down. So, when things got crazy, I needed a little something to bring me back down.
My monthly playlists are living playlists so I will continually update them throughout the month with new songs that fit my fancy. You can also check out all of my older playlists on Soundcloud as well.
Stay NRDy mah friends.


Code Coverage with Calabash
Even though XCode7 is deprecating GCov output, it is still possible to generate .gcda and .gcno files for UI Automation. However, it is my experience that code coverage files are only generated for simulator. This means it won’t be possible to get code coverage for any tests that are limited to physical devices. (If you do find a way to get it to generate on a device, please let me know!)
It is important to note that you will get less accurate code coverage results with this deprecated gcov output from XCode7 than running tests with XCode6. It will, however, give you a minimum number. I am actively working to get the numbers closer and will report back.
Here are the steps you would follow...
Before the run (one time):
- Clean up from your previous run. Delete everything in your output directory.
- Generate a baseline file.
Each time you run a test case (scenario):
- Remove old .gcda files (code coverage results from the previous run).
- Run the test case.
- Flush (generate those .gcda files).
- Process all the .gcda files into a single .info file.
After all the tests are complete (one time):
- Combine all the .info files into a single file.
- Generate a report from that file using lcov.
Install this:
Homebrew
If you don’t have it, it’s a great way to install tools without having to compile everything yourself
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
lcov
This tool is used to generate reports. Gcovr is another option, but it looked like the results weren’t as accurate.
brew install lcov
Implementation
XCode
Environment Variables
// Activating this setting causes '.gcno' files to be produced that the gcov code-coverage utility can use to show program coverage.
GCC_GENERATE_TEST_COVERAGE_FILES = YES
// Activating this setting indicates that code should be added so program flow arcs are instrumented.
GCC_INSTRUMENT_PROGRAM_FLOW_ARCS = YES
// Lets us know if we have coverage enabled so we can turn the __gcov_flush() lines on/off as appropriate and avoid build errors
GTM_CONFIGURATION_GCC_PREPROCESSOR_DEFINITIONS = COVERAGE_ENABLED=1
Flushing
I’ve seen some people have some success with adding __gcov_flush()
to their AppDelegate class. I decided to manually flush so I had more control.
 You can implement it your own way if you’d like :). Gist with the Ruby code
Reports
When the run completes, assuming you have called the methods like I did, you should have a CodeCoverage folder that contains a lot of .info files (including a *combined.info file with all the other .info files merged into it) and an html report folder.


| |
- Method resolution order:
- AudioFeatures
- core.computefeature.ComputeFeatureBase
- builtins.object
Methods defined here:
- audio_context(self, user_id:str, input_streams_audio:dict, stream1_data:list, input_streams_audio_work:dict=None, stream2_data:list=None)
- redirects appropirate streams for appropriate calculations.
takes raw input stream and for each voiced instance checks whether
there is another voiced instance within 10 secs to merge it into a
single voicing episode.
Algorithm:
for each voiced stream:
if sample == 'voice' within 10 secs merge
:param str user_id:id of user
:param dict input_streams_audio: input stream for audio for whole day
:param list stream1_data: list of Datapoints
:param dict input_streams_audio_work:input stream for audio for
office only
:param list stream2_data: list of DataPoints
- calc_voiced_segments_daily_average(self, voiced_hourly:list)
- This function calculates daily average voiced segments. Out of total
time for which data is present, calculates ratio of voiced segments
to total audio segments.
Algorithm:
daily_average = no_of_voiced_segments/total_time
:param audio_data: list of datapoints containing voiced or noise
:param no_voiced_segments: out of total datapoint corresponding to
one minute amount of voiced segments on a day in total.
:return: returns float value indicating daily average voiced segments
based on the total data collected for a day.
:rtype: List(DataPoint)
- calc_voiced_segments_hourly(self, audio_data:list) -> List[cerebralcortex.core.datatypes.datapoint.DataPoint]
- calculates amout of voice_segments present every hour of a day.
returns start_time, end_time and amount of voiced segments present
every hour
Algorithm:
window(input audio_data) per hour
Calculate voiced_segments_for_each_hour
return voiced_segments_for_each hour
:param audio_data:list of input data after thresholding
:return:Datapoint with start_time,end_time and amount of voiced
segments in minute
:rtype:List(DataPoint)
- conversation_episodes(self, data:list)
- get_day_data(self, stream_name:str, user_id, day)
- :param stream_name: name fo the stream
:param string user_id: UID of the user
:param str day: retrieve the data for this day with format 'YYYYMMDD'
:return: list of datapoints
- mark_audio_stream(self, streams:dict, stream1_name:str, stream2_name:str, user_id:str, day:str)
- Fetches audio stream and office time stream to do calculations and
assigns respective ids as input streams
:param dict streams:Input dict of datapoints
:param str stream1_name: name of stream
:param str stream2_name: name of stream
:param str user_id: id of user
:param str day: day for which calculation is done
- process(self, user:str, all_days:list)
- :param user: id of user
:param all_days: list of days for calculations
- store_data(self, file_path:str, input_streams:dict, user_id:str, data:list)
- stores the computed data
:param str file_path:path of metadata file
:param dict input_streams:dict of input streams
:param str user_id: id of user
:param list data: output datapoint to be stored
:return:
Methods inherited from core.computefeature.ComputeFeatureBase:
- __init__(self, CC=None)
- Initialize self. See help(type(self)) for accurate signature.
- get_latest_stream_id(self, user_id, stream_name)
- store(self, identifier, owner, name, data_descriptor, execution_context, annotations, stream_type=1, data=None, localtime=True)
- All store operations MUST be through this method.
- store_stream(self, filepath:str, input_streams:list, user_id:<module 'uuid' from '/usr/lib/python3.6/uuid.py'>, data:list, localtime=True)
- This method saves the computed DataStreams from different features
Data descriptors inherited from core.computefeature.ComputeFeatureBase:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|


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Download: Display Driver Uninstaller (DDU) v<IP_ADDRESS> 19 Nov 2019, 08:53 by Hilbert Hagedoorn Download Display Driver Uninstaller DDU, which has been updated to revision v<IP_ADDRESS> This application is a driver removal utility that can help you completely uninstall AMD/NVIDIA graphics card drivers and packages from your system. Download Related Stories


Weile Chen
Project Part 2
Data & Analysis
Box plot below shows some results of outliers.
Here, mean and standard deviation method is used to detect and remove outliers. Specifically, if rows contain value of each attributes exceed the range from mean-3*standard deviation to mean+3*standard deviation for each variable, they are removed. Removing outliers may make the prediction more accurate. For example, below box plot shows the range of accommodates before and after removing outliers.
In terms of hotel prices data set, the hotel prices are binned together based on the zip code and taken mean. The new variable is the mean of hotel prices based on zip code.
To analyze the categorical variables, first they are converted into dummies variables. Then, a heat map was made that shows the correlation coefficients between these variables. If the variables showed strong correlation with the price, they were kept. For instance, the variable ‘room_type’ has 3 values, which are Entire home/apt, Private room, and Shared room respectively. The figure below shows the correlation between them and the price.
From the figure above, Entire home/apt with value 0.48 has a positive relation with the price, whereas the Private room with value -0.46 has a negative relation with the price. In this case, this categorical variable is kept. On the contrary, other categorical variables that have a little impact on the price are dropped.


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Class: Com::Vmware::Content::Configuration
- Inherits:
-
VAPI::Bindings::VapiService
- Object
- VAPI::Bindings::VapiService
- Com::Vmware::Content::Configuration
- Defined in:
- /build/mts/release/bora-4571906/build/sdk/aggregated-bindings/ruby/com/vmware/content.rb
Overview
The ``Com::Vmware::Content::Configuration`` class provides methods to configure the global settings of the Content Library Service.
The configuration settings are used by the Content Library Service to control the behavior of various operations.
Instance Method Summary (collapse)
-
- (Com::Vmware::Content::ConfigurationModel) get
Retrieves the current configuration values.
-
- (Configuration) initialize(config)
constructor
Constructs a new instance.
-
- (Void) update(model)
Updates the configuration.
Constructor Details
- (Configuration) initialize(config)
Constructs a new instance.
60 61 62 |
# File '/build/mts/release/bora-4571906/build/sdk/aggregated-bindings/ruby/com/vmware/content.rb', line 60 def initialize(config) super(config, @@service_info) end |
Instance Method Details
- (Com::Vmware::Content::ConfigurationModel) get
Retrieves the current configuration values.
83 84 85 |
# File '/build/mts/release/bora-4571906/build/sdk/aggregated-bindings/ruby/com/vmware/content.rb', line 83 def get() invoke_with_info(@@get_info) end |
- (Void) update(model)
Updates the configuration. The update is incremental. Any field in the :class:`Com::Vmware::Content::ConfigurationModel` class that is nil will not be modified. Note that this update method doesn’t guarantee an atomic change of all the properties. In the case of a system crash or failure, some of the properties could be left unchanged while others may be updated.
72 73 74 75 76 |
# File '/build/mts/release/bora-4571906/build/sdk/aggregated-bindings/ruby/com/vmware/content.rb', line 72 def update(model) invoke_with_info(@@update_info, { 'model' => model, }) end |


Fusion Labs in partnership with the NSW Government is looking for NSW technology startups and scaleups that want to grow their business in the Indian market.
Applications ClosedIndia is one of the world’s most dynamic, fast paced and rapidly-developing technology markets.
As one of the most important trading partners for NSW, the Government has prioritised India as a market to engage with more strongly in the technology sector.
Through our Access to India program we will provide NSW-based entrepreneurs a pathway to unlock the enormous potential the Indian market has to offer.
Over the course of 12-months we will support you to understand the market, make connections, test your product and attract customers. At the end of the program we will host an event for you to officially launch your business into the Indian market.
Applications Open
4 September 2018
Applications Close
2 October 2018
Shortlist Interviews
11 October 2018
Program Starts
8 November 2018
India Trip 1
November 2018
Workshops
Feb-Jun 2019
Trip 2
April 2019
Trip 3
July 2019
Trip 4
September 2019
Showcase Event
September 2019
Why is the NSW Government doing this?
India is one of the world’s most dynamic, fast paced and quickly-developing technology markets. As one of the most important trading partners for NSW, the Government wants to increase its engagement with India, with a particular emphasis on the tech industry.
Who is Fusion Labs?
Fusion Labs is one of Australia’s leading innovation consultancies. We work with both the Government and Australia’s largest companies to drive innovation.
Do you take equity?
No, Fusion Labs will not take equity in exchange for the support provided. We are contracted by the Government of NSW to provide this program as a service.
More FAQsSend us an email and we will get back to you as soon as possible!


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True Directions But I'm a Cheerleader!
 The camera peeps in through the windshield as these two make out in the car: the boyfriend's tongue flopping around like the tail of some decked fish, while Megan's eyes, wide open and fluttering in all directions, search for something interesting to take her mind off what her mouth is doing. It's hilarious.
Soon enough, her God-fearing, homophobic parents, confront her with their scariest suspicions, "Our daughter's a lesbian!"
 Guys are taught to work on car engines and girls in pink, learn to scrub stains from burnt pots and pans. And though this simplistic/comedic angle on the gay issue has been played powerless already, the edgy dialogue keeps the film fresh, lively and light.
On the phone to her parents, Megan reports, "You were right, I am a homosexual, but I'll be regular soon." Then in defending her favorite pastime she says to Graham (the tomboy dorm mate she is trying not to find attractive), "Okay, maybe cheers aren't intellectual, but they make people feel good."  Kudos to the acting talent of both Natasha Lyonne and Clea DuVall.
The art directors have painted each room of this large country house its own special color, with an exterior of pink giving the whole scenario a purposefully ridiculousness, cartoony feel. However, the music, intentionally rinky-dink, adds little.
Though surreal and silly, the film is not afraid to say or do the taboo, so, if girls kissing each other on the lips makes you squint your eyes and feel nauseous then you ought to be forewarned. In fact, these scenes are done tenderly.
The look of the film is somewhat over-exposed and technically just barely short of the mark with an embarrassingly poorly cut scene just prior to the climax. Still, it's wacky fun, and spiced with loose lips and one-liners that'll more often than not crack up the crowd.
But I'm a Cheerleader! Copyright © 2000. Rated R. Starring Natasha Lyonne, Clea DuVall, Cathy Moriarty, Eddie Cibrian, Melanie Lynskey, Bud Cort, Dante Basco, Rupaul Charles. Directed by Jamie Babbit. Written by Brian Wayne Peterson based on story by Jamie Babbit. Produced by Andrea Sperling, Leanna Creel.
Grade..........................B+
-- Copyright © 2000. Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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What's wrong with the current Python cookbook
Until now, we were using the Python cookbook. This worked well for a while, until I noticed these things:
- This cookbook is being deprecated, and replaced by poise-python, meaning some day the Python cookbook will be a wrapper around poise-python.
- Even today, when the poise-python cookbook is used in a Chef-run, it's taking over the Python cookbook's resources
What's wrong with the Poise-Python cookbook
This new cookbook is way too magical for me.
I'm not in the habit of criticising other people's work, and I'm sure CodeRanger knows what he's doing, but I find the following facts disturbing:
- All of the cookbook logic is stored inside
lib/
, and processed using halite
This means the division of recipes/resources/helpers is unclear and you have to "hunt" for the file containing the resource you want to troubleshoot. - The resources use inheritance for state and logic
After you found the proper file for your resource, you might need to search other files for methods that are part of the flow you're troubleshooting. - Some of the inheritance extends to other cookbooks, like poise-languages and poise.
This is even more annoying because you now have multiple libraries/artifact to troubleshoot (so more lines in your Berksfile, more repos to clone etc), and it's unclear which logic arives from where. -
Some of the methods used are "magical"
By "magical" I mean methods that aren't defined in the normal way:def methodname(params) # Logic here end
Instead, they are created by using define_method or method_missing, and can't be easily found in the files.
-
Some resources automatically backreference other resources.
I'm talking about this usage pattern:python_runtime '2' python_virtualenv '/opt/myapp/.env' # Uses the `python_runtime` defined above automatically
This is done by looking at the resource collection and looking for the last item matching some definition (as far as I could understand).
While this might seem neat, in order for this method to work you have to reorder your code to match the "proper" way. For instance, you can't separate the runtime and the venv to diffent recipes, because then some other runtime (even from a different cookbook) might be declared and be the one discovered by the virtualenv resource.
All of these facts, in addition to missing documentation, add up to make the cookbook code really difficult to understand or troubleshoot.
On one hand, the reosurces included in this cookbook should be pretty simple. For instance, the package resource should install a python package (a single command), only if it's not already installed (another command).
On the other hand, I wrestled with thie Poise-Python cookbook for 3 days and still couldn't get it to do what the original Python cookbook did. It might be because I have a unique use case (custom-compiled Python), but it's still furstrating.
Enter backslasher-python (source)
Eventually, I chose to re-implement the Python cookbook by myself.
I made sure to choose a different namespace for the resources (backslasher_python_*
), so it won't interfere with the existing usage of the Python cookbook (external cookbooks etc).
The new cookbook is written as plainly as possible. Its only vice is using the new custom resource syntax (Edit: Moved back to old syntax. comapt_resource
breaks so easily).
For instance, this is the entire backslasher_python_virtualenv
definition (34 lines of code):
property :path, String, name_attribute: true
property :interpreter, String
property :owner, String, regex: Chef::Config[:user_valid_regex]
property :group, String, regex: Chef::Config[:group_valid_regex]
property :options, String # Additional options for venv initialization
default_action :create
def exists?
::File.exist?(path) && ::File.directory?(path) \
&& ::File.exists?("#{path}/bin/activate")
end
action :create do
nr = self # me as new_resource
directory path do
user nr.owner if nr.owner
group nr.group if nr.group
end
execute "virtualenv #{"--python="+interpreter if interpreter} #{options} #{path}" do
user nr.owner if nr.owner
group nr.group if nr.group
environment ({ 'HOME' => ::Dir.home(nr.owner) }) if nr.owner
not_if {nr.exists?}
end
end
action :delete do
directory path do
action :delete
recursive true
end
end
This code is not dependent on any external code (except for the Chef core logic), and is pretty easy to read.
Compare it to the Poise-Python implementation.
Personally, I've successfully replaced the Python cookbook with my Backslasher-Python cookbook in all of my internal uses and consider it a success. I'm curious to see what will happen in public cookbooks.


|
clang::tidy PagesJaunes rules
1.0
Rules for manipulating PagesJaunes eSQL requests
|
#include <ExecSQLCloseToFunctionCall.h>
Classes | |
| class | SourceRangeBefore |
| class | SourceRangeForStringLiterals |
| Collect data about macro expansion for string literals. More... | |
| struct | VarDeclMatchRecord |
Public Member Functions | |
| ExecSQLCloseToFunctionCall (StringRef, ClangTidyContext *) | |
| Constructor for the ExecSQLCloseToFunctionCall rewriting check. More... | |
| void | storeOptions (ClangTidyOptions::OptionMap &Opts) override |
| Store options for this check. More... | |
| void | registerMatchers (ast_matchers::MatchFinder *) override |
| Register the ASTMatcher that will found nodes we are interested in. More... | |
| void | registerPPCallbacks (CompilerInstance &Compiler) override |
| Register callback for intercepting all pre-processor actions. More... | |
| void | check (const ast_matchers::MatchFinder::MatchResult &) override |
| This method is called each time a visited AST node matching our ASTMatcher is found. More... | |
| std::string | emitDiagAndFix (const SourceLocation &, const SourceLocation &, const std::string &) |
| void | emitError (DiagnosticsEngine &, const SourceLocation &, enum ExecSQLCloseToFunctionCallErrorKind, const std::string *msgptr=nullptr) |
| Manage error conditions by emiting an error. More... | |
Public Attributes | |
| ClangTidyContext * | TidyContext |
Protected Attributes | |
| std::vector< struct VarDeclMatchRecord * > | m_req_var_decl_collector |
Definition at line 27 of file ExecSQLCloseToFunctionCall.h.
| using clang::tidy::pagesjaunes::ExecSQLCloseToFunctionCall::source_range_set_t = std::multiset<SourceRangeForStringLiterals, SourceRangeBefore> |
Definition at line 142 of file ExecSQLCloseToFunctionCall.h.
Definition at line 31 of file ExecSQLCloseToFunctionCall.h.
| clang::tidy::pagesjaunes::ExecSQLCloseToFunctionCall::ExecSQLCloseToFunctionCall | ( | StringRef | Name, |
| ClangTidyContext * | Context | ||
| ) |
Constructor for the ExecSQLCloseToFunctionCall rewriting check.
ExecSQLCloseToFunctionCall constructor
The rule is created a new check using its ClangTidyCheck
base class. Name and context are provided and stored locally. Some diag ids corresponding to errors handled by rule are created:
| Name | A StringRef for the new check name |
| Context | The ClangTidyContext allowing to access other contextsInit check (super class) Init our TidyContext instance Request grouping option: Filename containing a json map for a group name indexing a vector of requests name |
Definition at line 153 of file ExecSQLCloseToFunctionCall.cpp.
|
override |
This method is called each time a visited AST node matching our ASTMatcher is found.
check
This method will navigated and inspect the found AST nodes for:
| Result | The match result provided by the recursive visitor allowing us to access AST nodes bound to variables |
Definition at line 862 of file ExecSQLCloseToFunctionCall.cpp.
| std::string clang::tidy::pagesjaunes::ExecSQLCloseToFunctionCall::emitDiagAndFix | ( | const SourceLocation & | loc_start, |
| const SourceLocation & | loc_end, | ||
| const std::string & | function_name | ||
| ) |
Definition at line 383 of file ExecSQLCloseToFunctionCall.cpp.
| void clang::tidy::pagesjaunes::ExecSQLCloseToFunctionCall::emitError | ( | DiagnosticsEngine & | diag_engine, |
| const SourceLocation & | err_loc, | ||
| enum ExecSQLCloseToFunctionCallErrorKind | kind, | ||
| const std::string * | msgptr = nullptr |
||
| ) |
Manage error conditions by emiting an error.
emitError
This method manage any error condition by emitting a specific error message to the LLVM/Clang DiagnosticsEngine. It uses diag ids that were created in constructor.
| diag_engine | LLVM/Clang DiagnosticsEngine instance |
| err_loc | Error location |
| kind | Kind of error to report |
Default unexpected diagnostic id
No error ID: it should never occur
Access char data diag ID
Can't find a comment
Cannot match comment
Cannot generate request source file (no location)
Cannot generate request header file (no location)
Cannot generate request source file (already exists)
Cannot generate request header file (no location)
Cannot generate request source file (create dir)
Cannot generate request header file (no location)
Unsupported String Literal charset
Invalid groups file error
Definition at line 625 of file ExecSQLCloseToFunctionCall.cpp.
|
override |
Register the ASTMatcher that will found nodes we are interested in.
registerMatchers
This method register 1 matcher for each oracle ProC generated statement to rewrite. The matcher bind elements we will use, for detecting the found statement we want to rewrite , and for writing new code.
| Finder | the recursive visitor that will use our matcher for sending us AST node. |
Definition at line 334 of file ExecSQLCloseToFunctionCall.cpp.
|
override |
Register callback for intercepting all pre-processor actions.
ExecSQLCloseToFunctionCall::registerPPCallbacks
Allows to register a callback for executing our actions at every C/C++ pre-processor processing. Thanks to this callback we will collect all string literal macro expansions.
| [in] | compiler | the compiler instance we will intercept |
Definition at line 356 of file ExecSQLCloseToFunctionCall.cpp.
|
override |
Store options for this check.
storeOptions
This check support one option for customizing comment regex
| Opts | The option map in which to store supported options |
Definition at line 291 of file ExecSQLCloseToFunctionCall.cpp.
|
protected |
Definition at line 181 of file ExecSQLCloseToFunctionCall.h.
| ClangTidyContext* clang::tidy::pagesjaunes::ExecSQLCloseToFunctionCall::TidyContext |
Definition at line 62 of file ExecSQLCloseToFunctionCall.h.


Open modal
Open pre made modal
x
Pre made
First name
Last name
Birth date
Country
State
City
About me


Salerno-Paestum Marathon
Salerno => Paestum ITA
Race Winners
(15 runnings)
09
Dec
2007
26
Nov
2006
1988-2005
29
Mar
1987
28
Sep
1986
1:25:15 29
Sep
1985
28
Oct
1984
1981-1983
19
Oct
1980
14
Oct
1979
15
Oct
1978
16
Oct
1977
03
Oct
1976
12
Oct
1975
13
Oct
1974
Notes: The inaugural year was 1974. This race has also been known as the Templi
Marathon. Ceni's time in 1979 was probably misread. The women's race
distance in 1986 was a half marathon.
07 Dec
2008
2:34:58
Hallag Kamel (MAR)
3:01:44
Annamaria Caso-3
2:35:25
Gennaro Varrella (ITA)
3:04:12
Annamaria Caso-2
2:30:30
Rocco Nitti (ITA)
3:01:08
Annamaria Caso (ITA)
---
not held
2:29:01
Vito Basiliana-2
2:41:32
Vito Basiliana (ITA)
J Murtagh (IRL)
2:26:43
Paolo Morandini (ITA)
2:28:57
Riccardo Mangione (ITA)
---
not held
2:27:45
Tommaso Baruffo (ITA)
2:19:54
Luciano Ceni (ITA)
2:24:05
Giuseppe Moretti (ITA)
2:20:57
Michelangelo
Arena-2
2:29:10
Michelangelo Arena (ITA)
2:29:32
Massimo Magnani (ITA)
2:19:02.7
Paolo Accaputo (ITA)
Most Wins (1974/date)
Men
2
Michelangelo Arena (ITA)
1976-77
Vito Basiliana (ITA)
1986-87
Women
3
Annamaria Caso
(ITA)
2006-08
Prize Money(ARRS qualified
runners only)
Year Men Women Total 2009 $510 $510 $1,020
Race Time Bias(sec/km)
Insufficient data to calculate race time bias.
Competitive Level
(1990-date)
Insufficient data to calculate race time bias.
Quality Performances
Men <2:20 4
Women No women under 2:50.
Last Updated on
28 Nov 2009
Contributor: Franco Civai (11)


Data Fields | |
| int | iAdapterID |
| AdapterID for this adapter. | |
| int | iNumControllers |
| Number of controllers for this adapter. | |
| int | iNumDisplays |
| Number of displays for this adapter. | |
| int | iNumOverlays |
| Number of overlays for this adapter. | |
| int | iNumOfGLSyncConnectors |
| Number of GLSyncConnectors. | |
| int | iCapsMask |
| The bit mask identifies the adapter caps. | |
| int | iCapsValue |
| The bit identifies the adapter caps define_adapter_caps. | |
| int | iNumConnectors |
| Number of Connectors for this adapter. |
This structure is used to store information of an controller mode
AdapterID for this adapter.
Number of controllers for this adapter.
Number of displays for this adapter.
Number of overlays for this adapter.
Number of GLSyncConnectors.
The bit mask identifies the adapter caps.
The bit identifies the adapter caps define_adapter_caps.
Number of Connectors for this adapter.


ListDataHolder
public final class ListDataHolder : ListDataHolderType
Concrete implementation of ListDataHolderType
-
An observable property with current loading status.
Declaration
Swift
public let isLoading: BehaviorRelay<Bool>
-
Inner Action used to trigger updates and emit new values when available
Declaration
Swift
public var reloadAction: Action<ResultRangeType?, ModelStructure>
-
Supplementary action useful for
infinite scrolling
scenarios, where new data has to be added to the list without a complete reloadDeclaration
Swift
public var moreAction: Action<ResultRangeType?, ModelStructure>
-
Observable relay for for current ModelStructure.
Declaration
Swift
public var modelStructure: BehaviorRelay<ModelStructure>
-
A map used to hold references to ItemViewModels
Declaration
Swift
public var viewModels: BehaviorRelay<[IndexPath : ItemViewModelType]>
-
An observable property with current results count.
Declaration
Swift
public var resultsCount: BehaviorRelay<Int>
-
Notify (manually if needed) if new data is available in the list.
Declaration
Swift
public var newDataAvailable: BehaviorRelay<ListDataUpdate?>
-
Triggers a reload after inner data has changed
Declaration
Swift
public var commitEditing: BehaviorRelay<Bool>
-
Initializes an empty ListDataHolder
Declaration
Swift
public init()
-
Convenience method to create a ListDataHolder that instantly emits a single-dimension ModelStructure upon reloading
Declaration
Swift
public convenience init(withModels models: [ModelType])
Parameters
models
a ModelType array that will be used to create a single-dimension (no children) ModelStructure (
ModelStructure(models)
)


Barcelona 'enter Pierre-Emerick Aubameyang transfer race' and consider January move
Arsenal risk losing star man Pierre-Emerick Aubameyang if they cannot secure a return to Champions League football
by Rich Jones, https://www.mirror.co.uk/authors/rich-jones/Arsenal striker Pierre-Emerick Aubameyang has been linked with an exit if the club do not secure a return to Champions League football.
And reports in Spain suggest Barcelona have now expressed an interest in the striker - with a possibility they make an ambitious move in January.
Aubameyang, appointed new Gunners captain to replace Granit Xhaka this week, is keeping his options open and is yet to commit his long-term future at the Emirates.
He has been linked with a move to Spain as both Real Madrid and Barcelona look to bolster their attacking options.
According to El Chiringuito , Aubameyang is on Barcelona's radar as a potential replacement for Luis Suarez as the Uruguayan, 32, approaches the latter stages of his career and struggles for form.
They are keen on a move when Aubameyang decides on his future at the end of the season.
But with Antoine Griezmann struggling to adapt after his summer transfer and preferred out wide by manager Ernesto Valverde, they could contemplate a January approach.
They are said to admire Aubameyang's peed and power, which have helped him strike 50 goals already for Arsenal since joining from Borussia Dortmund in January 2018.
It has recently been claimed Arsenal have promised to listen to offers if he decides he wants to leave, but former transfer chief Sven Mislintat previously suggested his selfless attitude might not be a good fit at Real Madrid or Barcelona.
"He is one, possibly the only one, of these extraordinary top, top, top strikers who is an absolute team player,” Mislintat said recently.
"A striker like Neymar or (Sergio) Aguero, for example, would never give a penalty to (Nicolas) Pepe to score his first goal. It’s vice versa — ‘Come on, I will take this penalty kick, nobody else!’
"Auba gave the chance to Pepe. His instinct was, ‘Let’s score and let’s go forward together.’ He takes care about his team-mates.
“Since he joined Arsenal, he played where he was asked and needed, and so he helped especially (Alexandre) Lacazette to adapt to the Premier League.
"Maybe this attitude costs him to play for clubs like Real Madrid or Barcelona but maybe they made a mistake not to go for him. I like his mindset. It is good for a team’s atmosphere.”


Welcome to flask-openzwave
Temperature sensor graph:
Humidity sensor graph:
Lux sensor graph:
Available operations:
Get latest Temperature value
Get latest Humidity value
Switch off switch on node 3
Switch on switch on node 3
Check state of switch on node 3
From:
Richard Beales on Github


- SchemaWrapper - Class in dl.dl.dataloading.schema
-
Holds the Schema information and derived collections.
- SchemaWrapper() - Constructor for class dl.dl.dataloading.schema.SchemaWrapper
-
- setFinalTrainSchema(Schema) - Method in class dl.dl.dataloading.datamaker.ArtifactRepository
-
- setupUi(MultiLayerNetwork) - Method in class dl.dl.network.NetworkEvaluator
-
Reference:
https://github.com/eclipse/deeplearning4j/issues/3346
- SUBMISSION_INPUTS_PATH - Static variable in interface dl.dl.App
-
Data used to generate predictions to submit to kaggle
- SUBMISSION_PATH - Static variable in class dl.dl.submission.SubmissionMaker
-
- SUBMISSION_SPARK_RESULTS_PATH - Static variable in interface dl.dl.App
-
Path to write out data to after spark preprocessing
- SubmissionApp - Class in dl.dl
-
This is the main class which creates a network and a submission.
- SubmissionApp(SubmissionMaker, NetworkMaker, TrainDataMaker, SubmissionDataMaker) - Constructor for class dl.dl.SubmissionApp
-
Autowired contructor.
- SubmissionDataMaker - Class in dl.dl.dataloading.datamaker
-
Creates data submission input data.
- SubmissionDataMaker(CsvReaderWriter, ObjectProvider<MissingValuesImputer>, SubmissionSchemaWrapper, SubmissionTransformCreator, ArtifactRepository) - Constructor for class dl.dl.dataloading.datamaker.SubmissionDataMaker
-
- SubmissionMaker - Class in dl.dl.submission
-
Gets predictions from network and create submission csv.
- SubmissionMaker(Denormalizer) - Constructor for class dl.dl.submission.SubmissionMaker
-
- SubmissionSchemaWrapper - Class in dl.dl.dataloading.schema
-
Creates Schema for the submission input data
- SubmissionSchemaWrapper() - Constructor for class dl.dl.dataloading.schema.SubmissionSchemaWrapper
-
- SubmissionTransformCreator - Class in dl.dl.dataloading.transform
-
Creates TransformProcess for submission data.
- SubmissionTransformCreator(SubmissionSchemaWrapper) - Constructor for class dl.dl.dataloading.transform.SubmissionTransformCreator
-


WITNESS LIST Natural Resources Committee May 16, 2005-2:00P SB 331 For: Bresnen, Steve (North Harris County Regional Water Authority) On: Holcomb, Doug (Texas Commission on Environmental Quality) SB 343 For: Jefferson, David (Tarrant County Public Health) Mendez, Mark (Tarrant County) SB 1064 For: Benedict, Amy (Self) Weidner, Judith (Self) SB 1116 For: Blackhurst, Steve (Aqua Texas, Inc.) SB 1807 For: Pagan, Greer (Arete Real Estate and Development Co.) SB 1879 For: Guess, Milton (San Antonio Tourism Council) Montford, John T. (Greater San Antonio Chamber of Commerce) Wolff, Judge Nelson W. (Bexar County Commissioners Court) Against: Alles, Richard (Self and Aquifer Guardians in Urban Areas) Kastely, Amy (Self) Marinez, Michael (Self) Ornelas, Mariana (Self) Rodriguez, Elginio (Self) Saenz, Rene (Self) Sanchez, Graciela (Self) SB 1881 For: Stepherson, Angela (Huffines Communities) SB 1892 For: Kunau, Camila (City of San Antonio) Turner, Charles H. (Terramark Communities)


See the MediaEval 2021 webpage for information on how to register and participate.
News articles use both text and images to communicate their message. The overall goal of this task is to better understand the relationship between the textual and visual (images) content of news articles, and the impact of these elements on readers’ interest in the news.
Within this task participants are expected to discover and develop patterns/models to describe the relation between:
To do this, the participants will be provided a sizable real-world dataset of news items, each consisting of textual features (headline and snippet) as well the link to download the accompanying image.
The task requires extracting features from visual images and textual descriptions. Participants must analyze the features’ correlation concerning the context, noise, and the topic domain.
The NewsImages task includes two subtasks: Image-Text Re-Matching and News Click Prediction. The participants can choose to participate in either or both subtasks.
Participants are encouraged to make their code public with their submission.
Subtask 1: Image-Text Re-Matching: News articles often contain images that accompany the text. The connection between the images and the text is more complex than often realized. Aspects such as readers’ attention, difference between authentic imagery and stock photos, and placement on the website play important roles. We encourage participants to consider the explainability of their models. In this subtask, by using the news articles and accompanying images in the provided dataset, participants should predict which image was published with a given news article. We also ask participants to report their insights into characteristics that connect the text of news articles and the images. We expect that these insights contribute to the understanding of the image-text relationship in news articles.
Subtask 2: News Click Prediction: News websites present recommendations to users suggesting what to read next. These are often displayed as the article title accompanied by an image. In this task, participants investigate whether recommendations that are frequently clicked by users can be predicted using the textual content of the article and/or the accompanying image. Publishers tend to focus on click-related scores to determine the value of recommendations.
Online news articles are multimodal: the textual content of an article is often accompanied by an image. The image is important for illustrating the content of the text, but also attracting readers’ attention. Research in multimedia and recommender systems generally assumes a simple relationship between images and text occurring together. For example, in image captioning [6], the caption is often assumed to describe the literally depicted content of the image. In contrast, when images accompany news articles, the relationship becomes less clear [8]. The goal of this task is to investigate these intricacies in more depth, in order to understand the implications that it may have for the areas of journalism and recommender systems.
The task is formulated into two straightforward subtasks that participants can address using text-based and/or image features. However, the ultimate objective of this task is to gain additional insight. Specifically, we are curious about the connection between the textual content of articles and the images that accompany them and also about the connection between the image and title shown by a recommender system to users and the tendency of users to click on the recommended article. We are especially interested in aspects of images that go beyond the conventional set of concepts studied by concept detection. We are also interested in aspects of images that go beyond the literally depicted content. Such aspects include color, style, and framing.
This task targets researchers who are interested in the connection between images and text and images and user behavior. This includes people working in the areas of computer vision, recommender systems, cross-modal information retrieval, as well as in the area of news analysis.
The data set is a large collection of news articles from a German publisher that publishes news article recommendations on its website. Each article consists of a headline and a text snippet (first 256 characters) plus the link to download the accompanying image. The data is split into a training set (ground truth provided) and a test set. Participants must crawl the images themselves as we lack the necessary copyright to provide them directly. To strictly ensure fair comparison, the final test set will include the test set articles for which all participants could successfully access the images.
Subtask 1: Image-Text Re-Matching: For each news article in the test set, participants return the top five images that they predict to have accompanied that article. The ground truth (the correct news article-image-connection) is defined by the image that was published in the news article on the web portal. We encourage participants to additionally provide confidence scores such that we can learn more about the robustness of their methods. Success is measured with Precision@5. This means, that for each news item, 5 images should be suggested. If the correct images is in the suggested set, the predction is seen as correct. Since only one image per news item is correct, the metric could also be seen as Recall@5. Additionally, we promote the idea of explainability and ask the participants to look into the inner workings of their methods. What does the model tell? For which instances has the method failed and why?
Subtask 2: News Click Prediction: Given a set of images, participants predict the topmost news articles that are likely to be clicked when they are recommended. The number of top images will be specified. Success is measured by precision. More concretely, participants score each image which induces a ranking. We will determine the precision at a suited cut off point. Again, we encourage participants to examine their models and try to explain what they have picked up.
Analysis and Insight: For both tasks, the ultimate goal is to understand news and news consumption behavior. We will also judge participants in terms of the quality of the insight that they achieve about the relationship between text and images and in the relationship between images and news consumption behavior.
[1] Corsini, Francesco, and Martha A. Larson. CLEF NewsREEL 2016: image based recommendation. (2016).
[2] Das, A. S., Datar, M., Garg, A., & Rajaram, S. (2007, May). Google news personalization: scalable online collaborative filtering. In Proceedings of the 16th international conference on World Wide Web (pp. 271-280).
[3] Garcin, F., Faltings, B., Donatsch, O., Alazzawi, A., Bruttin, C., & Huber, A. (2014, October). Offline and online evaluation of news recommender systems at swissinfo.ch. In Proceedings of the 8th ACM Conference on Recommender systems (pp. 169-176).
[4] Ge, M., & Persia, F. (2017). A survey of multimedia recommender systems: Challenges and opportunities. International Journal of Semantic Computing, 11(03), 411-428.
[5] Hopfgartner, F., Balog, K., Lommatzsch, A., Kelly, L., Kille, B., Schuth, A., & Larson, M. (2019). Continuous evaluation of large-scale information access systems: a case for living labs. In Information Retrieval Evaluation in a Changing World (pp. 511-543). Springer, Cham.
[6] Hossain, M. Z., Sohel, F., Shiratuddin, M. F., & Laga, H. (2019). A comprehensive survey of deep learning for image captioning. ACM Computing Surveys (CSUR), 51(6), 1-36.
[7] Lommatzsch, A., Kille, B., Hopfgartner, F., Larson, M., Brodt, T., Seiler, J., & Özgöbek, Ö. (2017, September). CLEF 2017 NewsREEL overview: A stream-based recommender task for evaluation and education. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 239-254). Springer, Cham.
[8] Oostdijk, N., van Halteren, H., Bașar, E., & Larson, M. (2020, May). The Connection between the Text and Images of News Articles: New Insights for Multimedia Analysis. In Proceedings of The 12th Language Resources and Evaluation Conference (pp. 4343-4351).


Welcome to ETLBox
It's all in the box! Run all your ETL or ELT jobs with this .NET class library. Create your own dataflow, send your data from any source to any target and transform it on-the-fly. Data can be read from or written into various sources, e.g. Flat Files, Webservices or Databases. ETLBox currently supports: SqlServer, SQLite, MySql, Postgres, CSV, Json, Excel (and limited support for Access and SSAS). Furthermore, ETLBox offers control flow tasks that wrap Sql in easy-to-use objects and offers an enhanced logging functionality.
ETLBox.net
For a full documenetation, please visit the project homepage: etlbox.net contains all the information you need about ETLBox. There is a whole set of introductional articles, tons of examples how to create data flows and a complete API documentation.
See the video
Watch a short video that introduces you into the basic concepts of ETLBox and how to create your own ETL process. See the video on Youtube!
Why ETLBox
ETLBox is a comprehensive C# class library that is able to manage your whole ETL or ELT. You can use it to create your own dataflow pipeline programmatically, where data is send from a source to a target and transformed on its way. Or you just can use it to manage your database using some easy-to-use and easy-to-understand .NET objects. It also offers extended logging capabilites that allow you to monitor and anlayze your ETL job runs.
Perhaps you are looking for an alternative to Sql Server Integrations Services (SSIS). Or you are searching for a framework to define and run ETL jobs with C# code. The goal of ETLBox is to provide an easy-to-use but still powerful library with which you can create complex ETL routines and sophisticated data flows.
Advantages of using ETLBox
Build ETL in .NET: Code your ETL with your favorite .NET language fitting your team’s skills and that is coming with a mature toolset.
Runs everywhere: ETLBox runs on Linux, macOS, and Windows. It is written in the current .NET Standard and successfully tested with the latest versions of .NET Core & .NET.
Run locally: Develop and test your ETL code locally on your desktop using your existing development & debugging tools.
Process In-Memory: ETLBox comes with dataflow components that allow in-memory processing which is much faster than storing data on disk and processing later.
Know your errors: When exceptions are raised you get the exact line of code where your ETL stopped, including a hands-on description of the error.
Manage Change: Track you changes with git (or other source controls), code review your etl logic, and use your existing CI/CD processes.
Data integration: While supporting different databases, flat files and web services, you can use ETLBox as a foundation for your custom made Data Integregation platform.
Out-of-the-box supported sources and destinations
The following table shows which types of sources and destination are supported out-of-the box with the current version of ETLBox.
Please note: You can always inegrate any other database, file or source not listed here by using a CustomSource
or CustomDestination
.
| Source or Destination type | Supported by ETLBox |
|---|---|
| Sql Server | Full support |
| Postgres | Full support |
| SQLite | Full support |
| MySql | Full support |
| CSV | Full support |
| Json | Full support |
| Excel | Limited support |
| Access | Limited support |
| SSAS | Limited support |
| Oracle | Currently not supported |
ETLBox capabilities
ETLBox is split into two main components: Data Flow and Control Flow Tasks. Both components will provide customizable logging functionalities.
Data Flow overview
Dataflow tasks gives you the ability to create your own pipeline where you can send your data through. Dataflows consists of one or more source element (like CSV files or data derived from a table), some transformations and optionally one or more target. To create your own data flow , you need to accomplish three steps:
- First you define your dataflow components
- You link these components together (each source has an output, each transformation at least one input and one output and each destination has an input)
- After the linking you just tell your source to start reading the data.
The source will start reading and post its data into the components connected to its output. As soon as a connected component retrieves any data in its input, the component will start with processing the data and then send it further down the line to its connected components. The dataflow will finish when all data from the source(s) are read and received from the destinations.
Of course, all data is processed asynchronously by the components. Each compoment has its own set of buffers, so while the source is still reading data, the transformations can already process it and the destinations can start writing the processed information into their target.
There are a lot of pre-defined components in ETLBox available. The DBSource
can connect to a SqlServer, SQLite, MySql or Postgres table. There are transformation to modify either each record one-by-one or in whole. You can split or join different sources, and using the CustomSource
and CustomDestination
you can even connect to any target or source you want.
Data Flow quick example
It's easy to create your own data flow pipeline. This example data flow will transfer data from a MySql database into a Sql Server database and transform the records on the fly.
Just create a source, some transformation and a destination:
var sourceCon = new MySqlConnectionManager("Server=<IP_ADDRESS>;Database=ETLBox_ControlFlow;Uid=etlbox;Pwd=etlboxpassword;");
var destCon = new SqlConnectionManager("Data Source=.;Integrated Security=SSPI;Initial Catalog=ETLBox;");
DBSource<MySimpleRow> source = new DBSource<MySimpleRow>(sourceCon, "SourceTable");
RowTransformation<MySimpleRow, MySimpleRow> trans = new RowTransformation<MySimpleRow, MySimpleRow>(
myRow => {
myRow.Value += 1;
return myRow;
});
DBDestination<MySimpleRow> dest = new DBDestination<MySimpleRow>(destCon, "DestinationTable");
Now link these elements together.
source.LinkTo(trans);
trans.LinkTo(dest);
Finally, start the dataflow at the source and wait for your destination to rececive all data (and the completion message from the source).
source.Execute();
dest.Wait();
Control Flow - overview
Control Flow Tasks gives you control over your database: They allow you to create or delete databases, tables, procedures, schemas or other objects in your database. With these tasks you also can truncate your tables, count rows or execute any sql you like. Anything you can script in sql can be done here - but with only one line of easy-to-read C# code.  But Control Flow tasks are not restricted to databases only: e.g. you can run an XMLA on your Sql Server Analysis Service.
Control Flow quick example
It is now very easy to execute some Sql on the Database, without writing the whole "boilerplate" code by ADO.NET.
var conn = new SqlConnectionManager("Server=<IP_ADDRESS>;Database=ETLBox_ControlFlow;Uid=etlbox;Pwd=etlboxpassword;");
//Execute some Sql
SqlTask.ExecuteNonQuery(conn, "Do some sql",$@"EXEC myProc");
//Count rows
int count = RowCountTask.Count(conn, "demo.table1").Value;
//Create a table
CreateTableTask.Create(conn, "Table1", new List<TableColumn>() {
new TableColumn(name:"key",dataType:"INT",allowNulls:false,isPrimaryKey:true, isIdentity:true),
new TableColumn(name:"value", dataType:"NVARCHAR(100)",allowNulls:true)
});
Logging
By default, ETLBox uses and extends NLog. ETLBox already comes with NLog as dependency - so you don't need to include additional packages from nuget. In order to have the logging activating, you just have to set up a nlog configuration called nlog.config
, and create a target and a logger rule. After adding this, you will already get logging output for all tasks and components in ETLBox. Read more about logging here.
Getting ETLBox
You can use ETLBox within any .NET or .NET core project that supports .NET Standard 2.0. (Basically all latest versions of .NET)
Variant 1: Nuget
ETLBox is available on nuget. Just add the package to your project via your nuget package manager.
Variant 2: Download the sources
Clone the repository:
git clone https://github.com/roadrunnerlenny/etlbox.git
Then, open the downloaded solution file ETLBox.sln with Visual Studio 2015 or higher. Now you can build the solution, and use it as a reference in other projects.
Going further
ETLBox is open source.Feel free to make changes or to fix bugs. Every particiation in this open source project is appreciated.
To dig deeper into it, have a look at the test projects. There is a test for (almost) everything that you can do with ETLBox.
[See the ETLBox Project website](https://etlbox.net) for [introductional articles](https://etlbox.net/articles/getting_started.html) and examples for [Data Flow Tasks](https://etlbox.net/articles/overview_dataflow.html), [Control Flow Tasks](https://etlbox.net/articles/overview_controlflow.html) and [Logging](https://etlbox.net/articles/overview_logging.html). There is also a [complete API documentation](https://etlbox.net/api/index.html). Enjoy!


Copyright (c) 2001 William Chang
The game is played on the following hex board, with the following setup:
|
Some words from the author: For some time now [Apr 16, 2001] I have been toying with the idea of trying to model/abstract the flow of water carving out a mountainside. A related geometric pattern is the fractal on certain seashells. [...] The image in my mind is a root-pattern forming or tributaries of a river. [...] The game generalizes to any MxN board. Without more experience playing and "figuring it out" I don't know how M and N affect playability. My intuition suggests 8x8 (really 8x15 if you measured it at the bottom) is already nontrivial and 10x10 might be "tournament".
| An example
On the left, the game is already defined. White does not need to worry at this point with is top left stone, since the bottom left cell cannot be taken by Black. The same happens with the next 3 bottom cells, which are Black, whatever White plays. |
[author words] After the bottom row is filled, the game can be
continued where the board progressively _narrows_ instead of widens.  o .  x .  o .  x .  o . . . x
. . . . . x o x o
I have named this game BigBasin, after a local mountain formation in
Northern California. (It could have been called Tahoe or something.) I think
more work needs to be done here than in Cascades. [...] The family of games I call Cascades and BigBasin are attempts at creating
an abstract theme game based on a ubiquitous pattern, the flow of water.
[William Chang Los Gatos, California 16 April 2001]
(C) 2001 William I. Chang


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Error - Failed to Connect to database
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