Abstract TC Story
com/organization/automation/project/stories/abstract_tc/abstract_tc.story
Narrative:
In order to develop a tiny test automation framework
As a framework developer
I want to use jBehave core API
Scenario: Abstract TC works
Given abstract test case with id #1
When abstract test case run
Then result should be [PASS]
Scenario: Abstract TC with examples works
Examples:
Given abstract test case with id #<id> and name '<tc_name>'
When abstract test case run
Then result of exemplified TC should be [<result>]
| id | tc_name | result |
| 1 | The first TC | PASS |
| 2 | The second TC | PASS |
| 3 | The third TC | PASS |
Example: {id=1, tc_name=The first TC, result=PASS}
Given abstract test case with id #1 and name 'The first TC'
When abstract test case run
Then result of exemplified TC should be [PASS]
Example: {id=2, tc_name=The second TC, result=PASS}
Given abstract test case with id #2 and name 'The second TC'
When abstract test case run
Then result of exemplified TC should be [PASS]
Example: {id=3, tc_name=The third TC, result=PASS}
Given abstract test case with id #3 and name 'The third TC'
When abstract test case run
Then result of exemplified TC should be [PASS]


To place a wire, press space at the start point and end point of where you would like to place the wire.
Cursor modes (placement):
W - Wire: An open wire with negligible resistance.
B - Battery: A voltage source.
R - Resistor: A wire which resists current flow.
L - Light: A light. (functions as a visual resistor)
S - Switch: Can toggle flow through a segment of wire. Open and close switches by pressing '0'.
Cursor modes (other):
V - Volt-meter: Compare the voltage of two points.
D - Delete: Delete any wires between two points.
Making a circuit:
To make a circuit, you must make a full loop of wire. To make current flow along the circuit, place a battery in the loop. Finally, to control current flow, place a resistor somewhere along the loop.


China urges 'tougher line' in Hong Kong after attack on Xinhua
State-backed China Daily newspaper criticised 'wanton' attacks by 'naive' demonstrators as city braces for more protest.
Chinese state media has urged authorities to take a "tougher line" against protesters in Hong Kong who vandalised state-run Xinhua news agency and other buildings at the weekend, saying the violence damaged the city's rule of law.
The call on Monday comes as the city braces for more protests following a violent incident on Sunday, in which two people were left in critical condition.
More:
In an editorial, state-backed China Daily newspaper criticised the "wanton" attacks by "naive" demonstrators, adding, "They are doomed to fail simply because their violence will encounter the full weight of the law."
Police fired tear gas at black-clad protesters on Saturday and Sunday in some of the worst violence in the Asian financial hub in weeks, with metro stations set ablaze and buildings vandalised.
Violence also erupted on Sunday after a man with a knife attacked several people and bit off part of the ear of a pro-democracy politician. Two of the victims are reportedly in critical condition, according to reports.
The past five months of anti-government protests in the former British colony represent the biggest popular challenge to President Xi Jinping's government since he took over China's leadership in late 2012.
Protesters are angry at China's perceived meddling with Hong Kong's freedoms, including its legal system, since the Asian financial hub returned to Chinese rule in 1997. China denies the accusation.
The widely-read Global Times tabloid on Sunday condemned the protesters' actions targeting Xinhua and called for action by Hong Kong's enforcement agencies.
"Due to the symbolic image of Xinhua, the vandalizing of its branch is not only a provocation to the rule of law in Hong Kong, but also to the central government and the Chinese mainland, which is the rioters' main purpose," it said.
On Friday, after a meeting of China's top leadership, a senior Chinese official said it would not tolerate separatism or threats to national security in Hong Kong and would "perfect" the way it appointed the city's leader.


Desing Engeneer
My profile:
- I am still learning how to use the tools that are specified and where I am learning is at Udemy Acadamy.
Tools:
- Adobe Photoshop;
- Adobe Illustrator;
- Sketch;
- Figma.
Key skills for design engineers:
- Strong maths and IT skills;
- A creative flair and design ability;
- Good visual and spatial awareness;
- Attention to detail;
- Problem solving;
- Written and oral communication;
- Commercial awareness;
- Excellent project management skills;
- Time management and organisational skills.


BloomAPI is updated weekly with the lastest details from the Centers for Medicare and Medicaid Services (CMS). The data is pulled from the National Provider Identifer (NPI) data dissemination. Programmatically available health information ensures you're up to date.
Free, as in speech. In addition to being hosted for free, non-commercial use, BloomAPI's full source code is available online with a MIT license so you can run your own to meet your SLA requirements. Deploy it yourself for higher performance or high availability.
Built with high performance in mind, we strive to maintain quick response time on any possible NPI search. We actively monitor performance and optimize as is needed to ensure support for applications that need NPI data realtime.
Need to leverage the full NPI dataset? Run your own BloomAPI deployment for direct database access. BloomAPI will ensure your NPI data is always fresh without needing to regularly maintain your deployment.
BloomAPI is graciously hosted by Rackspace


--- layout: archive author_profile: true --- {% include base_path %}
Majority of vector art is inspired from the real life images. A vector art is an abstract view of the reality. A view that can mimic or mock the original.
Naturally the inspiration for a vector illustration comes from a bitmap image. We get a JPEG from a client or pull an image from Google image search or just snap a photo with our phone and import it into our vector graphics tool as a reference background image. Then we start tracing the curves and filling the shapes. The process can take from few minutes to several hours depending upon how much detail you want to capture.
Unfortunately the existing Vector Graphics tools don't provide any help to make the artist's life easy in this process, even though this workflow involves so many repetitive tasks. Zector Trace addresses this exact problem. It was conceived from the frustration that its developer felt while creating a Vector portrait by tracing the head-shot of a model. Trace was designed by identifying all the things that the software can do automatically once it has assumed this workflow. This makes the process very fast and definitely more enjoyable for the artist. Trace offers a minimal yet very responsive user interface that is extremely intuitive.
Trace is in late stage of development and it will soon be available to early users. If you want to be the first one to try...


regions-financial
Businessmodel of Regions Financial
Customer Segments
Regions Financial offers a broad portfolio of banking products and services, designed to suit the needs of a varied customer base. The Company’s customers can be organised broadly into the following categories:
- General Consumers, including general consumer across various demographics, including homebuyers, and small business owners;
- Commercial and Corporate Clients, including small, medium, and large enterprises and employers across multiple sectors; and
- Institutional Clients, including various local, state, and federal government bodies, public sector entities, financial institutions, and non-profit institutions. Regions Financial does not name any of its major clients in its annual report or on its website. The Company’s three largest markets for its lending activities, however, are the real estate, manufacturing, and healthcare sectors.
Regions Financial serves a large domestic client base across the US, with its operations based principally in the country’s south eastern states. The Company has a significant presence in Alabama, Florida, and Tennessee.
Value Propositions
Regions Financial provides value to its customers in the following ways:
- Its reputation and industry standing, with the Company an established provider of banking and financial services to customers in the US, with a track record for providing effective and reliable services;
- Its accessibility, with the Company serving its clients through multiple service channels, notably its network of branches and its online banking platform, as well through dedicated direct service personnel;
- Its extensive branch network, with the Company operating a network of more than 1,600 branches across 16 US states, offering convenient access to personnel across its various operating regions;
- Its use of technology, with the Company employing state-of-the-art technology systems across its operating segments, to ensure that its services and products are secure, effective, and efficient; and
- Its industry expertise and experience, with the Company employing specialist financial and banking professionals across its operating segments, as well as a team of experienced industry professionals. ### Channels
Regions Financial operates a website at www.regions.com, through which it provides information on its various products, services, branch locations, and corporate activities. Its website also hosts an online banking platform, which allows customers to perform basis banking functions, such as transfers, payments, and account management. The Company provides a similar level of functionality through its mobile applications, which is available on iOS and Android platforms. Customers can additionally locate nearby branches and make appointments via the Regions Financial website.
Regions Financial serves its consumer clients primarily through its network of retail branches spread primarily across the south eastern US. This network comprises 1,627 branches across 16 states, including in Florida, Georgia, Mississippi, Louisiana, and North Carolina. The Company employs a large team of in-branch service personnel to deal directly with clients. The Company also provides telephone banking services and employs dedicated teams to serve the Company’s commercial and institutional clients.
Regions Financial also serves clients through a network of intermediaries, including various brokers, agents, and independent and dually-employed financial consultants.
Customer Relationships
Regions Financial provides a range of services to its customers on a self-service basis through its website an online and mobile banking platform. These channels allow customers to make bank transfers, pay bills, manage account details, and make in-branch appointments without interacting directly with members of the Company’s sales and service personnel.
Regions Financial provides a greater degree of personal care to its consumer clients through its extensive branch network, employing dedicated service staff to consult directly with customers, respond to queries and enquiries, and handle complaints. The Company is able to provide certain services and products that are tailored to the individual circumstances of each client. This also true of the Company’s commercial clients, who are provided personalised advice and support.
Regions Financial provides ongoing support to its customers, with its larger commercial and institutional clients having their own account management teams. Customers are able to contact the Company’s dedicated support staff over the phone and online in order to receive personalised responses to queries and enquiries. Customers are additionally able to follow the activities of Regions Financial, and interact with its personnel directly, through its various social media accounts, including with Facebook, Twitter, LinkedIn, Pinterest, and Google+.
Key Activities
Regions Financial functions as a financial holding company. Through its various subsidiaries and operating divisions, notably its Regions Bank unit, an Alabama state-chartered commercial bank, the Company provides a range of banking and financial services.
The Company aligns its operations into three reportable business segments: Corporate Bank, through which it provides commercial banking services, including commercial and industrial, commercial real estate and investor real estate lending; Consumer Bank, through which it operates an extensive network of retail branches, providing consumer banking products and services related to residential first mortgages, small business loans, home equity lines and loans, consumer credit cards, and other consumer loans; Wealth Management, through which it offers individuals, businesses, governmental institutions and non-profit entities a range of solutions to enable transfer of wealth.
Key Partners
Regions Financial works closely with various companies and organisations to provide efficient and effective services to its clients. These partners can be categorised broadly as:
- Supplier and Vendor Partners, including suppliers of services, technologies, and equipment that provide support to the company’s enterprise wide operations, as well as companies to which certain no-technical functions can be outsourced;
- Channel and Distribution Partners, comprising the Company’s network of agents, brokers, and independent and dually-employed financial consultants that provide services on the Company’s behalf, and extend its sales and marketing reach;
- Strategic and Alliance Partners, comprising various market leading companies, with which the Company collaborates on a range of projects, including marketing and branding; and
- Community and Social Partners, comprising various non-profits and charitable organisations with which the Company works on social and community projects in the US. Regions Financial has a number of partnerships in place. This includes a partnership with online lender Fundation, a tie-up with start-up company Avant, and a technology partnership with Samsung to integrate Samsung Pay into its services.
Key Resources
Regions Financial’s key resources are its financial reserves, its online and mobile platforms, its IT and communications infrastructure, its network of branches and offices, its partnerships, and its personnel.
While Regions Financial utilises a range of technologies in its operations, searches of records published by the US Patent and Trademark Office identified no patent applications filed in the Company’s name. It does, however, own and or lease a number of physical properties across the US, notably its network of offices and more than 1,600 branches.
Cost Structure
Regions Financial incurs costs in relation to the development of its online platform, the maintenance of its IT and communications infrastructure, the procurement of professional services, the payment of regulatory fees and charges, the operation of its branch and office networks, the implementation of marketing and advertising campaigns, the management of its partnerships, and the retention of its personnel.
In 2015 Regions Financial recorded total non-interest expenses in the amount of $3.61 billion. This included salaries and employee benefits totalling $1.88 billion, net occupancy expenses totalling $361 million, furniture and equipment expenses totalling $303 million, outside services costs totalling $159 million, and marketing costs totalling $98 million.
Revenue Streams
Regions Financial generates revenue through the provision of various banking and financial services, including wealth management, real estate lending, and consumer banking products. The Company principally generates revenue in the form of various service fees and interest income.
In 2015 Regions Financial generated non-interest income from continuing operations in the amount of $2.1 billion, up on the $1.9 billion generated by the Company in 2014. The Company attributed this increase to insurance proceeds recognised in 2015 related to the settlement of a class-action lawsuit.


--- layout: base title: "Help reform copyright!" icon: http://copywrongs.eu/img/30c3/icon.png language: en ---
The result of the consultation have been published (PDF) by the EU.
The EU Copyright Consultation is closed (after a one-month prolongation) since 5th of March 2014. Thanks a lot to the 11.117 people that contributed with their opinions and experiences!  Besides a huuuuge THANK YOU to the whole copywrongs-team. You did an amazing job!


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Suitable for different ceiling works and style. It can be use for both Interior and Exterior. Read More
It is made thru special autoclave process that made board becomes durable, elastic and strong. SCG Smartboard is compose of High Quality Materials such as SCG Cement, Silica and Special Cellulose Fiber.


--- title: Related Association List author: published: true date: 2018-05-06 date_added_kb: source: source-url: tags: [association] type: link image: image_source: image_caption: title_color: video_id: sidebar: order-number: subtitle: lead: --- Listing of Associations related to Pavement Preservation.


Use the tree in the navigation pane to view demos.
Source : https://github.com/dekajp/google-closure-grid


To use the Alternate Parameter Method (APM), the AnimCubeJS files must be modified so that calls can be made to internal functions that are otherwise not available to javascript in the web-page (for more info, view the source of this page and see the description in the commented section). To use this program to make the necessary modifications, click on the Select Files button and select the js files to be modified (multiple files can be selected by holding down the shift or ctrl key). After selecting files, the first few lines of each file are shown. Press the Update button and the updated files will be shown. Then click on the Save button, a popup will appear for each file, click Save on each. Only files named {long alphanumeric string}.cache.js are to be updated (5 for each cube size), any other selected files will be ignored.


In Norroway, langsyne, there lived a certain lady, and she had three dochters. The auldest o’ them said to her mither: “Mither, bake me a bannock, and roast me a collop, for I’m gaun awa’ to seek my fortune.” Her mither did sae; and the dochter gaed awa’ to an auld witch washerwife and telled her purpose.  She saw nocht the first day. The second day she did the same, and saw nocht. On the third day she looked again, and saw a coach-and-six coming along the road. She ran in and telled the auld wife what she saw. “Aweel,” quo’ the auld wife, “yon’s for you.” Sae they took her into the coach, and galloped aff.
The second dochter next says to her mither: “Mither, bake me a bannock, and roast me a collop, fur I’m gaun awa’ to seek my fortune.” Her mither did sae; and awa’ she gaed to the auld wife, as her sister had dune. On the third day she looked out o’ the back door, and saw a coach-and-four coming along the road. “Aweel,” quo’ the auld wife, “yon’s for you.” Sae they took her in, and aff they set.
The third dochter says to her mither: “Mither, bake me a bannock, and roast me a collop, for I’m gaun awa’ to seek my fortune.” Her mither did sae; and awa’ she gaed to the auld witch-wife. She bade her look out o’ her back door, and see what she could see. She did sae; and when she came back said she saw nocht. The second day she did the same, and saw nocht. The third day she looked again, and on coming back said to the auld wife she saw nocht but a muckle Black Bull coming roaring alang the road. “Aweel,” quo’ the auld wife, “yon’s for you.” On hearing this she was next to distracted wi’ grief and terror; but she was lifted up and set on his back, and awa’ they went.
Aye they traveled, and on they traveled, till the lady grew faint wi’ hunger. “Eat out o’ my right lug,” says the Black Bull, “and drink out o’ my left lug, and set by your leavings.” Sae she did as he said, and was wonderfully refreshed. And lang they gaed, and sair they rade, till they came in sight o’ a very big and bonny castle. “Yonder we maun be this night,” quo’ the bull; “for my auld brither lives yonder”; and presently they were at the place. They lifted her aff his back, and took her in, and sent him away to a park for the night. In the morning, when they brought the bull hame, they took the lady into a fine shining parlor, and gave her a beautiful apple, telling her no to break it till she was in the greatest strait ever mortal was in in the world, and that wad bring her o’t. Again she was lifted on the bull’s back, and after she had ridden far, and farer than I can tell, they came in sight o’ a far bonnier castle, and far farther awa’ than the last. Says the bull till her: “Yonder we maun be the night, for my second brither lives yonder”; and they were at the place directly. They lifted her down and took her in, and sent the bull to the field for the night. In the morning they took the lady into a fine and rich room, and gave her the finest pear she had ever seen, bidding her no to break it till she was in the greatest strait ever mortal could be in, and that wad get her out o’t. Again she was lifted and set on his back, and awa’ they went. And lang they gaed, and sair they rade, till they came in sight o’ the far biggest castle, and far farthest aff, they had yet seen. “We maun be yonder the night,” says the bull, “for my young brither lives yonder”; and they were there directly. They lifted her down, took her in, and sent the bull to the field for the night. In the morning they took her into a room, the finest of a’, and gied her a plum, telling her no to break it till she was in the greatest strait mortal could be in, and that wad get her out o’t. Presently they brought hame the bull, set the lady on his back, and awa’ they went.
And aye they gaed, and on they rade, till they came to a dark and ugsome glen, where they stopped, and the lady lighted down. Says the bull to her: “Here ye maun stay till I gang and fight the deil. Ye maun seat yoursel’ on that stane, and move neither hand nor fit till I come back, else I’ll never find ye again. And if everything round about ye turns blue I hae beated the deil; but should a’ things turn red he’ll hae conquered me.” She set hersel’ down on the stane, and by-and-by a’ round her turned blue. O’ercome wi’ joy, she lifted the ae fit and crossed it owre the ither, sae glad was she that her companion was victorious. The bull returned and sought for but never could find her.
Lang she sat, and aye she grat, till she wearied. At last she rase and gaed awa’, she kedna whaur till. On she wandered till she came to a great hill o’ glass, that she tried a’ she could to climb, bat wasna able. Round the bottom o’ the hill she gaed, sabbing and seeking a passage owre, till at last she came to a smith’s house; and the smith promised, if she wad serve him seven years, he wad make her iron shoon, wherewi’ she could climb owre the glassy hill. At seven years’ end she got her iron shoon, clamb the glassy hill, and chanced to come to the auld washerwife’s habitation. There she was telled of a gallant young knight that had given in some bluidy sarks to wash, and whaever washed thae sarks was to be his wife. The auld wife had washed till she was tired, and then she set to her dochter, and baith washed, and they washed, and they better washed, in hopes of getting the young knight; but a’ they could do they couldna bring out a stain. At length they set the stranger damosel to wark; and whenever she began the stains came out pure and clean, but the auld wife made the knight believe it was her dochter had washed the sarks. So the knight and the eldest dochter were to be married, and the stranger damosel was distracted at the thought of it, for she was deeply in love wi’ him. So she bethought her of her apple, and breaking it, found it filled with gold and precious jewelry, the richest she had ever seen. “All these,” she said to the eldest dochter, “I will give you, on condition that you put off your marriage for ae day, and allow me to go into his room alone at night.” So the lady consented; but meanwhile the auld wife had prepared a sleeping-drink, and given it to the knight, wha drank it, and never wakened till next morning. The lee-lang night ther damosel sabbed and sang:
Next day she kentna what to do for grief. She then brak the pear, and found it filled wi’ jewelry far richer than the contents o’ the apple. Wi’ thae jewels she bargained for permission to be a second night in the young knight’s chamber; but the auld wife gied him anither sleeping-drink, and he again sleepit till morning. A’ night she kept sighing and singing as before:
“Seven lang years I served for thee,” &c. Still he sleepit, and she nearly lost hope a’thegither. But that day when he was out at the hunting, somebody asked him what noise and moaning was yon they heard all last night in his bedchamber. He said he heardna ony noise. But they assured him there was sae; and he resolved to keep waking that night to try what he could hear. That being the third night, and the damosel being between hope and despair, she brak her plum, and it held far the richest jewelry of the three. She bargained as before; and the auld wife, as before, took in the sleeping-drink to the young knight’s chamber; but he telled her he couldna drink it that night without sweetening. And when she gaed awa’ for some honey to sweeten it wi’, he poured out the drink, and sae made the auld wife think he had drunk it. They a’ went to bed again, and the damosel began, as before, singing:
He heard, and turned to her. And she telled him a’ that had befa’en her, and he telled her a’ that had happened to him. And he caused the auld washerwife and her dochter to be burned. And they were married, and he and she are living happy till this day, for aught I ken.(1)
(1) Chambers, Popular Traditions of Scotland.


Identifies a friend function as a destructor.
The <cxxFriendDestructor> element is present when the friend function is a destructor. This has two mandatory attributes: name and value. Both attributes default to the value "destructor".
A function that uses the cxxFriendDestructor element shall not use the cxxFriendConstructor element
See ISO/IEC 14882:2003(E) 12.4 Destructors [class.dtor]


{% extends "polyaxon/root.html" %} {% load i18n %} {% load staticfiles %} {% block index %}
Page not found
The page that you requested does not exist.


This Permissions settings tab allows to enable/disable integrations and define custom domains.
You can enable all integrations you want to use with the Toggl Button by clicking the "Enable all" button under "Url Permissions". Also you can pick the tools you want by ticking the checkboxes.
You can also define custom domains in the "Custom Domain Url Permissions" section of the page. Just type in the domain address, select the tool you are running on it and press "Add"
The Permissions tab allows you to enable/disable integrations and define custom domains.
You can enable/disable all tools you by clicking the buttons on top of the list. Also you can pick the tools you want by ticking the checkbox in front of them.
You can also define custom domains in the "Custom Domain Url Permissions" section of the page. Just type in the domain address, select the tool you are running on that domain and press "Add"
Hey Toggler! We have a ton of integrations that make your time tracking life easier, faster & way more convenient.
To use them, check off any integrations you'd like to enable under "URL Permissions" -- or click enable all.
You can also define custom domains on the second part of the page. Type in an address, select the tool and press "Add".
Shows reminder notification if user has forgot to start timer while working
The timer will be stopped automatically at this time of day
Allows user to define Pomodoro Timer interval. Pomodoro timer starts running every time a time entry is started. At the end of the interval the user is shown notification to take a break. User can set an option to stop or continue time tracking when pomodoro timer ends.
100%
Enable tools you want to use with Toggl Button. You can enable all by clicking "Enable all" button in the top.
Define custom domains here. Just type in the domain name without http(s) in format "toggl.com" and select the integration from dropdown. Ports are currently not supported.


In this section we describe the ways in which Jsonlang aids with the configuration of the Fractal application. These are the three main productivity benefits when using Jsonlang:
The configuration is logically separated into several files via import
constructs.
This is to promote abstraction and re-usability (some of our templates could be used by other
applications, so are separated into libraries), as well as having a separate credentials file (to
avoid accidental checkin). Note that Jsonlang did not mandate this file structure; other separations
(or a giant single file) would also have been possible.
When the imports are realized, the result is a single configuration which yields a JSON packer configuration for each image (*.packer.json) and the JSON Terraform configuration (terraform.tf), using multiple file output. Those configurations in turn embed other configurations for the application software that will run on the instances. The top-level structure of the generated configuration is therefore as follows (with the content of each file elided for clarity).
{
"appserv.packer.json": ...,
"cassandra.packer.json": ...,
"tilegen.packer.json": ...,
"terraform.tf": ...
}
The configuration is built from the following input files:
Note that the Jsonlang template libraries also include some definitions not used in this example application, e.g., PostgreSQL and MySQL templates. Those can be ignored.
To integrate Jsonlang with Packer and Terraform, a Makefile is used. This first runs Jsonlang on the configuration and then runs Packer / Terraform on the resulting files (if they have changed). The choice of 'glue' tool is arbitrary, we could also have used a small Python script. We chose make because it is well understood, available everywhere, and does three things that we want: Invoke other programs, run things in parallel, and avoid repeating work that is already complete. For example, Packer is only invoked if its configuration file has changed, and the three image builds will proceed in parallel (they take a few minutes each).
Ignoring the re-usable templates, whitespace, and comments, the Jsonlang configuration is 217 lines (9.7kB). The generated Packer and Terraform files are 740 lines (25kB) in total. This demonstrates the productivity benefits of using template expansion when writing configurations.
The fractal example is a complete realistic application and therefore its configuration has many technical details. In particular, it embeds configurations for various pieces of off-the-shelf software that we don't want to go into in much depth. However we would like to draw attention to some particular uses of Jsonlang within the configuration. We'll gladly field specific questions on the mailing list.
Each Packer configuration is, at its core, a list of imperative actions to be performed in sequence by a VM, after which the disk is frozen to create the desired image. The actions are called provisioners. Jsonlang is used to simplify the provisioner list by eliminating duplication and encouraging abstraction. Generic templates for specific off-the-shelf software are defined in re-usable libraries, which are then referenced from service.jsonlang and, as needed, overridden with some fractal application details. Generic provisioners are also provided for easy installation of packages via package managers, creation of specific files / dirs, etc.
In addition, the ImageMixin
object in service.jsonlang is used to factor out
common fractal-specific configuration from the three images. Note that it is a variable, so will
not appear in the output. Factored out image config includes the Google Cloud Platform project id
and filename of the service account key. Since all the images are derived ultimately from the
GcpDebian
image (in lib/packer.jsonlang), and this image includes apt
& pip provisioners (discussed shortly), this is also a good place to ensure some basic
packages are installed on every image.
local ImageMixin = {
project_id: credentials.project,
account_file: "service_account_key.json",
// For debugging:
local network_debug = ["traceroute", "lsof", "iptraf", "tcpdump", "host", "dnsutils"],
aptPackages +: ["vim", "git", "psmisc", "screen", "strace" ] + network_debug,
},
Both the application server's image configuration appserv.packer.json and the tile
generation service's image configuration tilegen.packer.json extend
MyFlaskImage
, which exists merely to add the aforementioned ImageMixin
to
the GcpDebianNginxUwsgiFlaskImage
template from lib/packer.jsonlang. That template
builds on the basic GcpDebianImage
template from the same library, and adds all the
packages (and default configuration) for both Nginx and uWSGI:
local MyFlaskImage = packer.GcpDebianNginxUwsgiFlaskImage + ImageMixin,
In Jsonlang we use JSON as the canonical data model and convert to other formats as needed. An
example of this is the uWSGI configuration, an INI file, which is specified in Jsonlang under the
uwsgiConf
field in GcpDebianNginxUwsgiFlaskImage
. The JSON version is
converted to INI by the call to std.manifestIni
(documented here) in the provisioner immediately below it. Representing the INI file
with the JSON object model (instead of as a string) allows elements of the uWSGI configuration (such
as the filename of the UNIX domain socket) to be easily kept in sync with other elements of the
configuration (Nginx also needs to know it). If the application is configured with JSON, or even
YAML, then no conversion is required. An example of that is the default Cassandra configuration
file held in the conf
field of lib/cassandra.jsonlang.
Looking back at appserv.packer.json and tilegen.packer.json in
service.jsonlang, while both use Nginx/uWSGI/Flask there are some subtle differences. Since
the HTTP request handlers are different in each case, the module (uWSGI entrypoint) and also
required packages are different. Firstly, the tile generation image needs a provisioner to build
the C++ code. Secondly, since the application server talks to the Cassandra database using
cassandra-driver, which interferes with pre-forking, it is necessary to override the
lazy
field of the uWSGI configuration in that image. This is an example of how an
abstract template can unify two similar parts of the configuration, while still allowing the
overriding of small details as needed. Note also that such precise manipulation of configuration
details would be much harder if the uWSGI configuration was represented as a single string instead
of as a structure within the object model.
"appserv.packer.json": MyFlaskImage {
name: "appserv-v20141222-0300",
module: "main", // Entrypoint in the Python code.
pipPackages +: ["httplib2", "cassandra-driver", "blist"],
uwsgiConf +: { lazy: "true" }, // cassandra-driver does not survive fork()
...
},
Going up to the top of the template hierarchy we have GcpDebianImage
and finally
GcpImage
in lib/packer.jsonlang. The latter gives the Packer builder configuration
for Google Cloud Platform, bringing out some fields to the top level (essentially hiding the
builder
sub-object). We can hide the builder configuration because we only ever need
one builder per image. We can support multiple cloud providers by deriving an entire new Packer
configuration at the top level, overriding as necessary to specialize for that platform. The
GcpDebianImage
selects the base image (Backports) and adds provisioners for apt and pip
packages. The configuration of those provisioners (the list of installed packages, and additional
repositories / keys) is brought out to the top level of the image configuration. By default, the
lists are empty but sub-objects can override and extend them as we saw with
appserv.packer.json.
The actual provisioners Apt
and Pip
are defined further up
lib/packer.jsonlang. In their definitions, one can see how the various shell commands are built
up from the declarative lists of repositories, package names, etc. Installing packages in a
non-interactive context requires a few extra switches and an environment variable, but the
Apt
provisioner handles all that. Also note how these provisioners both derive from
RootShell
(defined right at the top of the file) because those commands need to be run
as root.
Note that everything discussed has been plain Jsonlang code. It is possible to create your own provisioners (based on these or from scratch) in order to declaratively control packer in new ways.
The remainder of service.jsonlang generates the Terraform configuration that defines all the cloud resources that are required to run the fractal web application. That includes the instances that actually run the Packer images. It also includes the resources that configure network routing / firewalls, load balancers, etc.
Terraform accepts two basic syntaxes, JSON and HCL (a more concise form of JSON). This provides a data structure that specifies the resources required, but the model also has a few computational features: Firstly, the structure has 'variables' which can be resolved by string interpolation within the resources. Also, all resources are also extended with a count parameter for creating n replicas of that resource, and finally there is some support for importing 'modules', i.e., another Terraform configuration of resources (perhaps written by a third party).
The interpolation feature is not just for variables, it is also used to reference attributes of resources that are not known until after deployment (i.e., cannot be known during Jsonlang execution time). For example, the generated IP address of a static IP resource called foo can be referenced from a string in the definition of a resource bar using the syntax ${google_compute_address.foo.address}, which is resolved after the deployment of foo in time for the deployment of bar.
We choose to emit JSON instead of HCL, as the latter would require conversion code. We also do not make use of any of the Terraform language features, as Jsonlang provides similar or greater capabilities in each of those domains, and doing it at the Jsonlang level allows integration with the rest of the configuration. We do, however, use Terraform interpolation syntax for resolving the "not known until deployment" attributes, e.g., in order to configure the application server with the host:port endpoint of the tile processing service. Such resolution cannot be performed by Jsonlang.
Going through service.jsonlang, the function zone
is used to statically
assign zones to instances on a round robin
basis. All the instances extend from FractalInstance
, which is parameterized by the
index zone_hash
(it's actually just a function that takes zone_hash and returns an
instance template). It is this index that is used to compute the zone, as can be seen in the body
of FractalInstance
. The zone is also also a namespace for the instance name, so when
we list the instances behind each load balancer in the google_compute_target_pool
object, we compute the zone for each instance there as well.
local zone(hash) =
local arr = [
"us-central1-a",
"us-central1-b",
"us-central1-f",
];
arr[hash % std.length(arr)],
FractalInstance
also specifies some default API access scopes and tags, as well as
the network over which the instances communicate. It extends GcpInstance
from
lib/terraform.jsonlang, which brings default service account scopes, the network, and the
startup script to the top level, and provides some defaults for other parameters.
Back in service.jsonlang we now have the instance definitions themselves. These are
arranged by image into clusters: application server, db (Cassandra), and tile generation. Terraform
expects the instances in the form of a key/value map (i.e. a JSON object), since it identifies them
internally with unique string names. Thus the three clusters are each expressed as an object, and
they are joined with the object addition +
operator.
google_compute_instance: {
["appserv" + k]: ...
for k in [1, 2, 3]
} + {
db1: ...,
db2: ...,
db3: ...,
} + {
["tilegen" + k]: ...
for k in [1, 2, 3, 4]
}
The appserv and tilegen replicas are given using an object comprehension in which the field name and value are
computed with k
set to each index in the given list. The variable k
also
ends up as an argument to FractalInstance
and thus defines the zone of the instance.
In both cases, we also place a file /var/www/conf.json. This is read on the instance by
the application, at startup, and used to configure the service. In the tilegen replicas the
configuration comes from ApplicationConf
from the top of service.jsonlang. In
the appserv instances, the same data is used, but extended with some extra fields.
resource.FractalInstance(k) {
...
conf:: ApplicationConf {
database_name: cassandraKeyspace,
database_user: cassandraUser,
database_pass: credentials.cassandraUserPass,
tilegen: "${google_compute_address.tilegen.address}",
db_endpoints: cassandraNodes,
},
startup_script +: [self.addFile(self.conf, "/var/www/conf.json")],
}
In both cases, the startup
script has added an extra line appended, computed by self.addFile()
, a method
inherited from GcpInstance
in lib/terraform.jsonlang. Examining its definition
shows that it generates a line of bash to actually add the file:
addFile(v, dest)::
"echo %s > %s" % [std.escapeStringBash(v), std.escapeStringBash(dest)],
Finally, the Cassandra cluster is deployed via an explicit list of three nodes (db1, db2, db3).
We attend to them individually, firstly because bringing up a Cassandra cluster from scratch
requires one node to have a special boot strapping role, and secondly because database nodes are
stateful and therefore less 'expendable' than application or tile server nodes. All three nodes
extend from the CassandraInstance(i)
mixin, which is where they get their common
configuration. As with FractalInstance(i)
, the integer parameter is used to drive the
zone. The bootstrap behavior of the first node is enabled by extending GcpStarterMixin
instead of GcpTopUpMixin
. The starter mixin has extra logic to initialize the
database, which we pass in the form of a CQL script to create the database and
replication factor for one of its internal tables. There is some fancy footwork required to get
Cassandra into a stable state without exposing it to the network in a passwordless state. All of
that is thankfully hidden behind the two re-usable mixins in lib/cassandra.jsonlang.
Except as noted, this content is licensed under Creative Commons Attribution 2.5. Enjoy!


It’s the final countdown of Idols SA Season 15
by Saara Mowlana - PARTNER CONTENTThe time has come – the Idols SA Season 15 finale is drawing closer and while we'll miss the musical stylings, the glitz and the glamour on a weekly basis, the final showdown has us itching in anticipation.
So, who are SA’s best stepping into the ring to take the title as the Season 15 Idols victor?
After a gruelling 12 weeks, the top 2, who have sung their way into SA’s hearts and impressed the judges are - Sneziey Msomi and Luyolo Yiba.
We thought there’s no better way to get set for the finals than to revisit the best moments of their idols journey.
Sneziey Msomi
Sneziey touched us with her inspiring backstory and dreams of becoming a singer. Hailing from Durban, she was raised by her grandmother having lost her mother when she was quite young. Her grandmother believed her granddaughter was born to be star, and this was part of the reason Sneziey auditioned. Throughout the competition she has kept us all entertained with her rich jazzy vocals.
Sneziey showed us her style range when she unleashed her fun side in her Top 9 performance of Pakisha:
Her Top 6 performance would have made Tina and Mary very Proud indeed:
Joined by Nolo, Sneziey showed us her star power when it comes to collaborations as their voices harmonised and moved us all with this Top 3 performance of a Beyoncé and Jamie Foxx song:
And she lifted us all with this spiritual and powerful cover pleading to be saved – which you can do with your votes:
Luyolo Yiba
Coming from Kimberly, Luyolo found his audition opportunity in the Mother City and won over the judges with his rendition of John Legend’s romantic You and I.
He warmed the nation’s hearts when he served smokey vocals while covering James Arthur’s Say You Won’t Let Go in the Top 17:
He kept it local and lekker and sultry with his Top 9 performance of Abangani:
He picked up the pace and made OMG by Usher his own with his Top 4 performance:
Joined by Micayla, Luyolo also showed his ability to seamlessly collaborate on this smooth and suave cover of Ariana Grande’s Almost is Never Enough, which features Nathan Sykes:
Who are you voting for?
So, who is your favourite SA? Show your support for your top finalist! Remember to vote to ensure they take home the ultimate title this Sunday!
Where to catch the finale:
You can catch all the action and excitement of the finale live this Sunday, November 17, at 17:00 on Mzansi Magic (DStv channel 161).
Idols SA S15 finalists - Curated tweets by mo_saara
This post is sponsored by Ford FIGO produced by Brandstudio24 for Channel24.


Time Over!
Thanks for playing!
We will let you know if you are selected.
To influence our decision, please contact us. We accept cash and kind.
Congrats Harsh Thoku and Builder for the highest score!
We hope you had fun :D
Developers: Shantanu Jain | Harsh Nisar | Mayank Hinger | Zubin Kapadia


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Let's learn a little about how you want to Chillax...
How long do you want to Chillax for?
5 minutes
10 minutes
15 minutes
What is something that helps you relax?
What do you want to meditate to?
Nature Sounds
Guided Meditation
Lo-Fi Beats
Next


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astropy.config
astropy.convolution
astropy.coordinates
astropy.io.ascii
astropy.io.fits
astropy.io.misc
astropy.io.votable
astropy.modeling
astropy.sphinx
astropy.table
astropy.time
astropy.units
astropy.utils
astropy.wcs
astropy.wcs.Wcs.printwcs will no longer warn that cdelt is being ignored when none was present in the FITS file. [#1845]
astropy.wcs.WCS, astropy.wcs.WCS.fix and astropy.wcs.find_all_wcs now have a translate_units keyword argument that is passed down to astropy.wcs.Wcsprm.fix. This can be used to specify any unsafe translations of units from rarely used ones to more commonly used ones.
Although "S" is commonly used to represent seconds, its translation to "s" is potentially unsafe since the standard recognizes "S" formally as Siemens, however rarely that may be used. The same applies to "H" for hours (Henry), and "D" for days (Debye).
When these sorts of changes are performed, a warning is emitted (but this reporting requires a patched version of wcslib, distributed with astropy). [#1854]
When a unit is “fixed” by astropy.wcs.WCS.fix or astropy.wcs.Wcsprm.unitfix, it now correctly reports the CUNIT field that was changed. (This requires that astropy was built with the locally distributed version of wcslib). [#1854]
astropy.wcs.WCS.to_header will now raise a more meaningful exception when the WCS information is inavlid or inconsistent in some way. [#1854]
A new function, astropy.wcs.get_include, has been added to get the location of the astropy.wcs C header files. [#1755]
astropy.wcs.Wcsprm.set is called from within the astropy.wcs.WCS constructor, therefore any invalid information in the keywords will be raised from the constructor, rather than on a subsequent call to a transformation method. [#1918]
Fix a memory corruption bug when using astropy.wcs.Wcs.sub with WCSSUB_CELESTIAL. [#1960]
Fixed the AttributeError exception which was raised when using astropy.wcs.WCS.footprint_to_file(). [#1912]
Fixed a NameError exception which was raised when using astropy.wcs.validate() or the wcslint script. [#2053]
Fixed a bug where named WCSes may be erroneously reported as ' ' when using astropy.wcs.validate() or the wcslint script. [#2053]
Fixed a bug where error messages about incorrect header keywords may not be propagated correctly, resulting in a “NULL error object in wcslib” message. [#2106]
Misc
General
A top-level configuration item, unicode_output has been added to control whether the Unicode string representation of certain objects will contain Unicode characters. For example, when use_unicode is False (default):
>>> from astropy import units as u
>>> print(unicode(u.degree))
deg
When use_unicode is True:
>>> from astropy import units as u
>>> print(unicode(u.degree))
°
See Unicode guidelines for more information. [#1441]
astropy.convolution
astropy.coordinates
astropy.cosmology
astropy.io.ascii
astropy.io.fits
astropy.io.votable
astropy.modeling
astropy.stats
astropy.table
astropy.time
astropy.units
astropy.vo
astropy.wcs
astropy.utils
astropy.extern.six
Astropy now uses the ERFA library instead of the IAU SOFA library for fundamental time transformation routines. The ERFA library is derived, with permission, from the IAU SOFA library but is distributed under a BSD license. See license/ERFA.rst for details. [#1293]
astropy.logger
General
astropy.coordinates
astropy.cosmology
astropy.io.ascii
astropy.io.fits
astropy.io.registry
astropy.io.votable
astropy.nddata
astropy.stats.funcs
astropy.table
astropy.time
astropy.units
astropy.wcs
For those including the astropy.wcs C headers in their project, they should now include it as:
#include “astropy_wcs/astropy_wcs_api.h”
instead of:
#include “astropy_wcs_api.h”
[#1631]
The --enable-legacy option for setup.py has been removed. [#1493]
astropy.io.ascii
astropy.io.fits
- Binary tables containing compressed images may, optionally, contain other columns unrelated to the tile compression convention. Although this is an uncommon use case, it is permitted by the standard.
- Reworked some of the file I/O routines to allow simpler, more consistent mapping between OS-level file modes (‘rb’, ‘wb’, ‘ab’, etc.) and the more “PyFITS-specific” modes used by PyFITS like “readonly” and “update”. That is, if reading a FITS file from an open file object, it doesn’t matter as much what “mode” it was opened in so long as it has the right capabilities (read/write/etc.) Also works around bugs in the Python io module in 2.6+ with regard to file modes.
- Fixed a long-standing issue where writing binary tables did not correctly write the TFORMn keywords for variable-length array columns (they omitted the max array length parameter of the format). This was thought fixed in an earlier version, but it was only fixed for compressed image HDUs and not for binary tables in general.
astropy.nddata
astropy.table
astropy.time
astropy.wcs
astropy.units
Misc
This is a brief overview of the new features included in Astropy 0.2–please see the “What’s New” section of the documentation for more details.
astropy.coordinates
astropy.cosmology
astropy.table I/O infrastructure for custom readers/writers implemented. [#305]
New astropy.time sub-package. [#332]
New astropy.units sub-package that includes a class for units (astropy.units.Unit) and scalar quantities that have units (astropy.units.Quantity). [#370, #445]
This has the following effects on other sub-packages:
astropy.io.ascii
Generalized I/O infrastructure so that astropy.nddata can also have custom readers/writers [#659]
astropy.wcs


NFL Run Pass Prediction!
Game Information
Home
Away
Team Score:
Opponent Score:
Quarter:
1st
2nd
3rd
4th
Time in Quarter (MM:SS):
Side of the Field:
Own
Opponent
50 Yard Line
Yard Line:
Down:
1st
2nd
3rd
Distance:
Results
Prediction: {{ prediction }}
Probability of a pass: {{ passProb }}%
Source code files availble on my
github.


Onboarding = walkthrough introducing a user to the app on first launch. and != inviting a another user.
Asking to pray:
-
Does this function as inviting users without the app?
-
I think this functions as a general "request to follow" like with private Twitter accounts. For people without accounts I think it collects their response, creates a prayer request, and invites them to join. If they DO join it links the prayer request to their new account.
- Daniel
-
During the onboarding process after a user first installs the app?
-
Yes I think it should allow them to find friends from FB and suggest they "ask them how they can pray"
- Daniel
- During the request to follow interaction? how is this triggered?
-
I think "how can I pray" == "reqest to follow"
- Daniel
- does this trigger when a request to pray(follow) is initiated, which would include users with the app?
-
Yes I think they are one and the same.
- Daniel
Screen for own prayers:
- do we only show a list of own prayers on the users own profile screen?
- do we need a tab for this?
- when someone asks you how they can pray for you, do we force a new prayer to be written? do we show the user a screen with a list of prayers where he/she may select a prayer to send?
-
Cameron would say yes, I lean toward no. Would love Tim's input.
I hope we can move away from the whole "sending specific prayers to specific people" messaging-style app stuff.
- Daniel
Flow?
-
I think all of this needs to be re-thought. I think we are moving away from this, although this IS what we came up with in our meeting with cameron
- User receives notification of other user asking for a prayer
- User taps the notification in notification screen
- App moves to (a new) view of own prayers
- User can either select one, or create a new prayer
*Problem: prayer is only sent to the requesting person if a new prayer is created. Assumes prayers have visibility/privacy features.
IMO, "Asking to Pray" should be a feature used when *inviting* external users to the app, not a feature triggered by a follow request.
Prayer functions:
- Do we allow prayers to be threaded to other prayers?
- Are we keeping commenting?
- Are we keeping answering?
- What functions does a prayer have? Thread another prayer? Comment? Answer? Delete? Edit? Set visibility/privacy?
For MVP, I'd suggest launching without some of these features
Are we letting users style their prayers? From meeting with camera, we decided to let users select an app “theme” which would dicate how all their incoming prayers look. Patterns? Gradients? Images?
Notifications:
- Do we need a notifications tab?
- How many different types of notifications will the app have?
- Recieving a request? Another user adding your prayer? A prayer on your list is answered, concatenated, closed, commented?
- Do we need to separate these notification types into separate tabs?
Main Views:
- Feed
- Prayer List
- Other (sidebar)
- Notifications
- Connect
- Account
- Logout
- (Potential) Own Prayers
- (Potential) Notifications
- (Potential) Profile
- (Potential) Connect
Other ideas from my sprint:
- Main "Feed" view with two sub-tabs: All Prayers, and My Prayers. Maybe even including the Prayer List view?
- Own Profile becoms another main view, and would function as the "My Prayers" holder
- Notifcations view as a main tab
- Connect View as a main tab
*Current navigation works because of only 3 main views and the rest not accessible through the top nav. More main views will require a different navigation style


To change image, drag-and-drop an image file over the canvas
Line IN
Line MIX
Blend operation
Opacity
Offset - X
Offset - Y
Test purpose
Create two Cells which we can use to generate images for the filter
Load an additional image from the DOM
For each of our assets, create an image filter to load the assets into the filter pipeline
Create a blend filter
Create a Block entity, using a gradient for its fill, and apply the blend filter to it
Update the filter's lineIn and lineMix attributes and note the effect
Update the blend operation, check that the choice changes the display appropriately
In particular make sure the lineMix asset moves when the filter offset values are updated
Note that filter memoization would provide no benefit in this demo because of the way we include the (rotating) cell-based wheel image filter in the display block filters array, even though that filter will only be displayed (as part of the compositing filter) if selected. Moral: only load process-image filters into a filter array if you intend to use them!


Microsoft cancels GDC 2020 presence due to coronavirus concerns - Gematsu Following Sony, Facebook, Kojima Productions, Epic Games, Unity, and more, Microsoft has cancelled its presence at Game Developers Conference 2020 due to concerns surrounding the novel coronavirus CODVID19. Find the full statement from the company below. ...
Switching back to the UI thread in WPF/UWP, in modern C# Leveraging the async machinery to transparently switch to the UI thread when needed
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Supporting other projects in the community I've relied on a lot of different projects over the years that have helped me in various different ways and recently had the opportunity to start giving something back. Running Report URIWe're lucky enough to have Michal Špaček with us on the team at R...
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 This article is going to have a different tone from what I've been posting the past year - it's a proper rant. And I always feel bad writing those, because, inevitably, it discusses things a lot of peop...
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How Crash Bandicoot Hacked The Original Playstation | War Stories | Ars Technica For today’s episode of War Stories, Ars Technica sat down with Naughty Dog Co-founder Andy Gavin to talk about the hurdles in bringing the original Crash Bandicoot to gamers around the world. When Andy and his partner Jason Rubin made the decision to brin...
Programmers generate every possible melody in MIDI to prevent lawsuits - MusicTech Damien Riehl, musician, programmer and copyright attorney, teamed up with programmer, Noah Rubin, to find a way to stop musicians getting sued for their music.
Digital Gift Cards | Give the Gift of Secure Passwords | 1Password Gift a 1Password subscription account, pay with Paypal, Apple Pay, Visa, Mastercard. Redeem a gift code for your account or purchase a code for a friend.
Weekly Update 180 If last week was the week where I felt like I was drowning in data that was still being processed, this week was the week where it came to light. Not all of it, mind you, I've still got ginormous volumes I'm disclosing but it certainly was a whole heap
.NET Framework February 2020 Preview of Quality Rollup | .NET Blog Today, we are releasing the February 2020 Preview of Quality Rollup Updates for .NET Framework. Quality and Reliability This release contains the following quality and reliability improvements. CLR1 Addresses an issue with rare crashes or deadlocks that ...
Rider 2020.1 Starts Early Access Program - .NET Tools Blog For the first 2020.1 EAP build, we didn’t set our sights on implementing any new big features or changing the world. Instead, we put a lot of effort into polishing and jazzing up the tons of existing features to make … Continue reading →
How to set up Docker within Windows System for Linux (WSL2) on Windows 10 I've written about WSL2 and it's glorious wonders many times. As its release (presumably) grows closer - as of this ...
Overview of Azure Cache for Redis - Simple Talk Caching data is one way to improve application performance. In this article, Chandra Kudumla explains a service for caching data found in Azure called Azure Cache for Redis.
ReSharper Ultimate 2020.1 Kicks off the Early Access Program! - .NET Tools Blog Just an hour ago, we published our first EAP build for ReSharper Ultimate 2020.1. Jump in and preview what’s coming in 2020.1! Since everybody seems interested in performance, let’s start with the performance news. There were tons of changes in … Continue...
Tip 249 - Deploying a Node.js Web App using Visual Studio Code, GitHub Actions and Azure GitHub Actions gives you the flexibility to build an automated software development lifecycle workflow. You can write individual tasks ("Actions") and combine them to create a custom workflow. Workflows are configurable automated processes that you can se...
Adding Observability to .NET Core Apps ASP.NET Blog | Based on customers using .NET Core in different environments, this article explores options for adding observability to .NET Core apps.
Immutability in DTOs? Something that comes up every so often is the question of whether or not Data Transfer Objects should be immutable - that is, should our design of the classes and types of a DTO enforce immutability. To answer this question, we first need to look at what ...
Principal Software Engineer in Redmond, Washington, United States | Engineering at Microsoft Apply for Principal Software Engineer job with Microsoft in Redmond, Washington, United States. Engineering at Microsoft
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The Art of Zero Knowledge: Zero-Knowledge Proofs for Set Membership | ZKProof Standards Last year I wrote about why booking too far in advance can be dangerous for your business, and this concept of margin so eloquently captures what I had recognized had been my problem: I was so booked up with clients that I wasn’t leaving any margin for er...


This is primarily a set of command line tools for compiling and developing templates. The inputs are compiled files, generally under the support/ folder, that represents the necessary input for the email compilation. Email Inky Templates shows this pattern by leveraging JSX bindings for the inky framework, allowing for compile-time checked templates.
Asset Management
The templating process involves loading various assets (html, css, images), and so there is provision for asset management and loading. The templating config allows for specifying asset paths, with the following paths (in order of precedence):
When looking up a resources, every asset folder is consulted, in order, and the first to resolve an asset wins. This allows for overriding of default templating resources, as needed. The compilation process will convert .email.html files into .compiled.html, .compiled.text and .compiled.subject suffixes to generate the outputs respectively.
Template Extension
The template extension points are defined at:
email/main.scss - The entry point for adding, and overriding any sass
email/{{'{'}}engine{{'}'}}.wrapper.html - The html wrapper for the specific templating engine implementation.
Template Compilation
The general process is as follows:
Load in the email template.
Resolve any associated stylings for said template.
Optimize styles against provided html, removing all unused stylings
Render template into html, text, and subject outputs.
Inline and optimize all images for html email transmission.
Images
When referencing an image from the resources folder in a template, e.g.
The image will be extracted out and embedded in the email as a multi part message. This allows for compression and optimization of images as well as externalizing resources that may not be immediately public. The currently supported set of image types are:
The module provides Command Line Interface support for email template compilation also. Running
Will convert all .email.html files into the appropriate .compiled.html, .compiled.text and .compiled.subject files. These will be used during the running of the application. By default these files are added to the .gitignore as they are generally not intended to be saved but to be generated during the build process.
VSCode Plugin
In addition to command line tools, the VSCode plugin also supports:
automatic compilation on change
real-time rendering of changes visually
ability to send test emails during development
ability to define custom context for template rendering


A dynamic buffer sequence encapsulates memory storage that may be automatically
resized as required, where the memory is divided into an input sequence followed
by an output sequence. These memory regions are internal to the dynamic buffer
sequence, but direct access to the elements is provided to permit them to
be efficiently used with I/O operations, such as the send
or receive
operations of
a socket. Data written to the output sequence of a dynamic buffer sequence
object is appended to the input sequence of the same object.
A dynamic buffer sequence type X
shall satisfy the requirements of MoveConstructible
(C++ Std, [moveconstructible]) types in addition to those listed below.
In the table below, X
denotes
a dynamic buffer sequence class, x
denotes a value of type X&
, x1
denotes values of type const X&
,
and n
denotes a value of
type size_t
, and u
denotes an identifier.
Table 10. DynamicBufferSequence requirements
|
expression |
type |
assertion/note |
|---|---|---|
|
|
type meeting ConstBufferSequence requirements. |
This type represents the memory associated with the input sequence. |
|
|
type meeting MutableBufferSequence requirements. |
This type represents the memory associated with the output sequence. |
|
|
|
Returns the size, in bytes, of the input sequence. |
|
|
|
Returns the permitted maximum of the sum of the sizes of the input sequence and output sequence. |
|
|
|
Returns the maximum sum of the sizes of the input sequence and output sequence that the dynamic buffer sequence can hold without requiring reallocation. |
|
|
|
Returns a constant buffer sequence |
|
|
|
Requires: |
|
|
Appends |
|
|
|
Removes |


Calculates complete functional regulation analysis and visualize the results in a single heatmap. The provided example data is for biological data but the methodology can be used for large data sets to compare quantitative entities that can be grouped. For example, a store might divide entities into cloth, food, car products etc and want to see how sales changes in the groups after some event. The theoretical background for the calculations are provided in New insights into functional regulation in MS-based drug profiling, Ana Sofia Carvalho, Henrik Molina & Rune Matthiesen, Scientific Reports <doi:10.1038/srep18826>.
| Version: | 0.1002 |
| Depends: | R (≥ 3.2.3) |
| Imports: | gplots, grid, methods, parallel, stats, stringr |
| Suggests: | knitr, rmarkdown |
| Published: | 2017-04-06 |
| Author: | Rune Matthiesen [aut, cre] |
| Maintainer: | Rune Matthiesen <runem2009 at gmail.com> |
| License: | GPL-2 | file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | CoFRA results |
| Reference manual: | CoFRA.pdf |
| Vignettes: |
CoFRA for complete functional regulation analysis |
| Package source: | CoFRA_0.1002.tar.gz |
| Windows binaries: | r-devel: CoFRA_0.1002.zip, r-release: CoFRA_0.1002.zip, r-oldrel: CoFRA_0.1002.zip |
| OS X binaries: | r-release: CoFRA_0.1002.tgz, r-oldrel: CoFRA_0.1002.tgz |
| Old sources: | CoFRA archive |
Please use the canonical form https://CRAN.R-project.org/package=CoFRA to link to this page.


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Most scripts can be run without arguments to show a list of possible input parameters. If you just want to use downloaded grid chains, you can use the plotting scripts and GetDist GUI directly without reading below; see Planck grid readme for examples.
A description for a grid of models is given in a python settings file.
python python/makeGrid.py mygrid my_settings_fileThis produces sets of .ini files for each run in mygrid/iniFiles, and a directory structure for storing chain results.
For a more complicated example of a large grid configuration see python/planck/settings_planck_2015.py. To run with settings in a module (subfolders) do e.g. "python makeGrid.py mygrid planck.settings_planck_2015". Covariance matrices (.covmat files) for Planck data with various parameter combinations are in planck_covmats folder, linked by default for grid runs.
Grid scripts take as a first argument the name of the folder containing the grid, and also many optional arguments that can be used to restrict to particular parameter or data combinations. Available scripts include:
python python/makeTables.py main mytable_limit95 --limit 2If you want to see how parameters shift around wrt to some baseline data combination use --changes_from_datatag datatag, which adds the fractional change in each parameter's mean in units of the baseline data combination's standard deviation; use --changes_from_paramtag paramtag to show shifts for each data combination wrt to the given baseline parameter combination. Use -h to see full list of possible options.
copyGridFiles.py mygrid mygrid.zip --dist --chains


(Note: prior to GDAL 2.3, the functionality of this driver was available in the GeoJSON driver. They are now distinct drivers)
This driver can read the JSON output of Feature Service requests following the GeoServices REST Specification, like implemented by ArcGIS Server REST API. Starting with OGR 2.0, the driver can scroll through such result sets that are spread over multiple pages (for ArcGIS servers >= 10.3). This is automatically enabled if URL does not contain an explicit resultOffset parameter. If it contains this parameter and scrolling is still desired, the FEATURE_SERVER_PAGING open option must be set to YES. The page size can be explicitly set with the resultRecordCount parameter (but is subject to a server limit). If it is not set, OGR will set it to the maximum value allowed by the server.
The driver accepts three types of sources of data:
(GDAL >= 2.0)
Read the result of a FeatureService request against a GeoServices REST server:
ogrinfo -ro -al "http://sampleserver3.arcgisonline.com/ArcGIS/rest/services/Hydrography/Watershed173811/FeatureServer/0/query?where=objectid+%3D+objectid&outfields=*&f=json"


Create A New Repository
To create a new repository, navigate to desired directory and perform the git init
command.
Checkout A Repository
Create a working copy of local repository by running the command git clone /path/to/repository
command.
When using a remote server, your command will be git clone username@host:/path/to/repository
Workflow
Your local repository consists of three "tree" maintained by git. The first one is your Working Directory
which holds the actual files. The second one is the Index
which acts as a staging area and finally the
HEAD
which points to the last commit you've made.
Add And Commit
You can propose changes (add it to the Index) using git add <filename>
followed by git add *
.
This is the first step in the basic git workflow. To actually commit these changes use git commit -m "Commit message"
.
Now the file is committed to the HEAD, but not in your remote repository yet.
Pushing Changes
Your changes are now in the HEAD of your local working copy. To send those changes to your remote repository, execute git push origin master
Change master to whatever branch you want to push your changes to.
If you have not cloned an existing repository and want to connect your repository to a remote server, you need to add it with git remote add origin <server>
Now you are able to push your changes to the selected remote server.
Branching
Branches are used to develop features isolated from each other. The master branch is the "default" branch when you create a repository. Use other branches for development and merge them back to the master branch upon completion.
Create a new branch name "feature_x" and switch to it using git checkout -b feature_x
Switch back to master using git checkout master
Delete a branch by using git branch -d feature_x
Note that a branch is not available to others unless you push the branch to your remote repository using git push origin <branch>
Update And Merge
To update your local repository to the newest commit, execute git pull
to fetch and merge remote changes/
To merge another branch into your active branch use git merge <branch>
Git will attempt to auto-merge changes. If there are conflicts, you are responsible to merge those conflicts manually by editing the files shown by git. After changing, you need to mark them as merged with git add
<filename> before merging changes. You can also preview them by using git diff <source_branch> <target_branch>


--- layout: post title: Mobile and local government date: 2005-02-19 00:00:00 categories: mobile social ---
Mmm, lovely mobile technology/local government crossover here - you can report problems with graffiti, fly tipping, etc. to Lewisham Council through your cameraphone now: "The idea is that you download a programme that'll allow you to send photos from your mobile phone (or if you've got a digital camera from your computer desktop) to the council and then those are turned into a piece of casework."


module Stmt: sig
.. end
Regular
interface for BIL statements
type
t = Bil.stmt
class state :
object
.. end
All visitors provide some information about the current
position of the visitor
class ['a]
visitor :
object
.. end
Visitor.
class ['a]
finder :
object
.. end
A visitor with a shortcut.
class mapper :
object
.. end
AST transformation.
class constant_folder :
mapper
constant_folder
is a class that implements the fold_consts
val fold : 'a #visitor -> init:'a -> t -> 'a
fold ~init visitor stmt
folds a
stmt
with a visitor. See
Bil.fold
and
Exp.fold
for more details.
val iter : unit #visitor -> t -> unit
iter visitor stmt
iters over a
stmt
with a visitor. See
Bil.iter
and
Exp.iter
for more details.
val map : #mapper -> t list -> t list
map mapper bil
applies mapper
to the program bil
val find : 'a #finder -> t -> 'a option
find finder stmt
performs a lookup into the Bil statement. See
Bil.find
and
Exp.find
for more details.
val exists : unit #finder -> t -> bool
exists finder stmt
is
true
iff
find finder stmt <> None
.
See
Bil.exists
and
Exp.exists
for more details.
val is_referenced : var -> t -> bool
is_referenced x stmt
is true is
x
is used in the
stmt
in any place other then right hand side of the assignment. E.g.,
is_referenced x Bil.(x := var x)
is
true
, but
is_referenced x Bil.(x := var y)
is
false
.
see
Bil.is_referenced
for more details.
val fixpoint : (t -> t) -> t -> t
fixpoint f x
applies transformation
f
until it reaches
fixpoint. See
Bil.fixpoint
and
val free_vars : t -> Var.Set.t
free_vars stmt
returns a set of all unbound variables, that
occurs in the stmt
.
val eval : t list -> (#Bili.context as 'a) -> 'a
eval prog
eval BIL program under given context. Returns the
context which contains all effects of computations.
include Regular.S


Service Groups are a brand new concept introduced by Axis2. With Service Groups, users can group several services together. This concept gives two main advantages to users.
Several related services can be easily managed and deployed.
Can share information between different services of the same Service Group at run time.
This sample application demonstrate how you can create a service group and how you can use the functionalities offered by axis2 to share information between services of the same group at runtime.
The idea
The ides behind the sample is pretty simple. We have developed a Calculator service group with three services AddService, SubstractService and MultiplyService. Each service has two operations. For e.g. AddServices has a 'add' operation and a 'addPrevious' operation.
The 'add' operation is used to add two integers and produce a result. When a operation is run the result will be saved in the current ServiceGroupContext which is the Context that has to be used to share information between services of the same service group.
When the addPrevious operation is run (which takes a single integer as the parameter) the saved value of the last operation will be added to the integer values that comes as a parameter.
You can even call operations of the other two services. These services can also use the value saved from the previous operation.
You can use the client class provided to run this in a interactive manner.
How to run the sample
Please run axis2 and deploy the provided Calculator.aar service by simply dropping it to the Axis2_webapp/WEB-INF/services directory (see axis user guide for more details).
Run the run.bat file.
You will see the following screen.
Select 'n' to start a new round.
Now select the service. + for AddService, - for SubstractService, * for MultiplyService. And press enter.
Enter the two parameters.
You will see the result.
Now select the option 'c' to continue the round. Select the operation.
The result will be generated using the entered valus and the result of the previous operation (which is obtained from the ServiceGroupContext).
You can continue this interactively any number of times.


When light and light collide
Title: “Evidence for light-by-light scattering in heavy-ion collisions with the ATLAS detector at the LHC”
Author: ATLAS Collaboration
Reference: doi:10.1038/nphys4208
(Originally published on Particle Bites)
According to classical wave theory, two electromagnetic waves that happen to cross each other in space will not interfere. In fact, this is a crucial feature of the conventional definition of a wave, in contrast to a corpuscle or particle: when two waves meet, they briefly occupy the same space at the same time, each without “knowing” about the other’s existence. Particles, on the other hand, do interact (or scatter) when they get close to each other, and the results of this encounter can be measured.
The mathematical backbone for this idea is the so-called superposition principle. It arises from the fact that the equations describing wave propagation are all linear in the fields and sources, meaning that they don’t occur in squares or cubes of those quantities. When we take two such waves that happen to be nearby, the linearity of the equations implies that we can treat the overall wave as just a linear superposition of two separate waves, traveling in different directions. The equations do not distinguish between the two scenarios.
This story gets more interesting after the insights by Albert Einstein who predicted the quantization of light, and the subsequent formal development of Quantum Electrodynamics in the 1940s by Shin’ichirō Tomonaga, Julian Schwinger and Richard Feynman. In the quantum theory of light, it is no longer “just” a wave, but rather a dual entity that can be treated as both a wave and as a particle called photon.
The new interpretation of light as a particle opens up the possibility that two electromagnetic waves may indeed interact when crossing each other, just as particles would. The mathematical equivalent statement is that the quantum theory of light yields wave equations that are not entirely linear anymore, but instead contain a small non-linear part. The non-linear contributions have to be tiny, otherwise we would already have detected the effects, but nonetheless they are predicted to occur by quantum theory. In this context, it is called light-by-light scattering.
Detection
In 2017, The ATLAS experiment at the LHC observed the first direct evidence of light-by-light scattering, using collisions of relativistic heavy-ions. Since this is such a rare phenomenon, it took us a long time to become directly experimentally sensitive to it.
The experiment is based on so-called Ultra-Peripheral Collisions (UPC) of lead ions (Z=82) at a center-of-mass energy of 5.02 TeV (or 5,000 times the mass of the proton). In UPC collisions, the two oncoming beams are far enough apart that the beam particles are less likely to undergo hard scattering, and instead just “graze” each other. This means that the strong force is not usually involved in such interactions, since its range is tiny and it only has intra-nuclear coverage. Instead, the electromagnetic interaction dominates in UPC events.
The figure below shows how UPCs proceed. The grazing of two lead ions leads to large electromagnetic fields in the space between the ions, and this interaction can be interpreted as an exchange of photons between them, since photons are the mediator of electromagnetism. Then, by also looking for two final-state photons in the ATLAS detector (the ‘X’ on the right in the figure), the light-by-light process, $\gamma \gamma \rightarrow \gamma \gamma$, can be probed ($\gamma$ stands for photons).
In order to isolate this particular process from all the other physics happening at the LHC, a series of increasingly tighter selections (or cuts) is applied to the acquired data. The final cuts are optimized to obtain the maximum possible sensitivity to the light-by-light scattering process. This sensitivity depends on how likely it is to select a candidate signal event, and similarly on how unlikely it is to select a background event. The main background physics that could mimic the signature of light-by-light scattering (two photons in the ATLAS calorimeter on an UPC lead-ion data run) include $\gamma \gamma \rightarrow e^+ e^-$, where the final-state electrons and positrons are misidentified by the detector as photons; central exclusive production (CEP) of photons in $g g \rightarrow \gamma \gamma$ (where $g$ is a gluon); and hadronic fakes from $\pi_0$ production in low-pT dijet events, where $\pi_0$’s (neutral pions) decay to a pair of photons.
The various applied selections begin with a dedicated trigger which selects events with moderate activity in the calorimeter and very little activity elsewhere. This is what is expected in a lead-ion UPC collision, since the ions just escape down the LHC beam pipe and are not detected, leaving the two photons as the only visible products. Then a set of selections is applied to ensure that the recorded activity in the calorimeter is compatible with two photons. These selections rely mostly on the shape of electromagnetic showers deposited on calorimeter crystals, which varies for different types of incident particles.
Finally, a series of extra selections is applied to minimize the number of possible background events, such as vetoing any events containing charged-particle tracks in the ATLAS tracker, which effectively removes $\gamma \gamma \rightarrow e^+ e^-$ events with electrons and positrons mis-tagged as photons. Note that this also removes some of the real light-by-light signal events (about ~10%), where final-state photons undergo photon conversion after interacting with tracker material, but in this case the trade-off is certainly worth it. Another such selection is the requirement that the transverse momentum of the diphoton system be less than 2 GeV. This removes contributions from other fake-photon backgrounds (such as cosmic-ray muons), because it ensures that the net transverse momentum of the system is small, and thus likely to originate in the ion-ion interaction.
The same exact set of selections is applied to both data and Monte Carlo (MC) simulations of the experiment. The MC simulations yield an estimate of how many background and signal events should be expected in data. The table below shows the results.
The penultimate row contains the sum of all cuts and a comparison between total number of expected background events (2.6), light-by-light scattering events (7.3), and data (13). The sum of 2.6+7.3=9.9 events certainly seems compatible with the observed data, given the quoted uncertainties in the last row. In fact, it is possible to estimate the significance of this result by asking how likely it would be for the background-only hypothesis (that is, pretending light-by-light scattering doesn’t exist and only including the backgrounds) to yield 13 observed events. This likelihood is tiny, $5\times10^{-6}$, which corresponds to a significance of 4.4 sigma!
In addition to the number of events, in the figure below the paper also plots the diphoton invariant mass distribution for the 13 observed data events (black points), and for the MC simulations (signal in red and backgrounds in blue and gray). This comparison provides further evidence that we do indeed see light-by-light scattering in the ATLAS data.
Finally, given the observed number of events in data and the expected number of MC background events, it is possible to measure the cross-section of light-by-light scattering (as a reminder, the cross-section of a process measures how likely it is to occur in collisions). The ATLAS collaboration calculates the cross-section of light-by-light scattering with the formula:
$$\sigma_{\text{fid}} = \frac{N_{\text{data}} - N_{\text{bkg}}}{C \times \int L dt}$$
where $N_{\text{data}}$ is the number of observed events in data, $N_{\text{bkg}}$ is the number of background events in MC, $\int L dt$ is the total amount of data collected, and $C$ is a correction factor which translates all of the detector inefficiencies into a single number. You can think of the entire denominator as the “effective” amount of data that was analyzed, and the numerator as the “effective” number of signal events that was seen. The ratio of the two quantities yields the probability of seeing light-by-light scattering in a single collision. The ATLAS collaboration found this value to be $70 \pm 24 ; (\text{statistical}) \pm 17 ;(\text{systematic})$ nb, which agrees with the theorized values of $45 \pm 9$ nb and $49 \pm 10$ nb within uncertainties.
To conclude, the measurement of light-by-light scattering by ATLAS is an exciting result which offers us a direct glimpse into the stark differences between classical and quantum physics in an accessible (and dare I say) amusing way!


| Triangular Documentation |
The complete online documentation for Triangular
|
| Triangular Construct Index |
The useful development guide to aid in locating Trianguler constructs
|
| Hello App Demo |
A simple Message Board to showcase the capabilities of Triangular:
- Create, Read, Update and Delete of messages
- Basic validation techniques implemented
- Several filtering options shown
- Print facility for selected messages
Refer to Hello App for usage guidelines, source code details and
an explanation of the Triangular features used.
|
| HelloUI App Demo |
A simple Message Board to showcase the capabilities of Triangular integrated with JQueryUI:
- Create, Read, Update and Delete of messages
- Basic validation techniques implemented
- Several filtering options shown
- JQueryUI Dialog is used to edit and display the messages
Refer to HelloUI App for usage guidelines, source code details and
an explanation of the Triangular features used.
|
| Cheque Writer System App Demo |
A complete multi-table system of medium complexity for writing cheques that:
- Allows the creation, editing and printing of cheques
- Demonstrates the auto-complete feature of Triangular
- Includes secondary tables that are referenced
Refer to Chqs App for usage guidelines, source code details and
an explanation of the Triangular features used.
|
| Deposit System App Demo |
A complete multi-table system of higher complexity for counting donations that:
- Tallys cash and cheque donations into a deposit
- Side-by-side filtered tables to allow easy assignment of donor codes
- Allows a donation to be split across many designations
- Cash tender is counted bill by bill
- Produces a bank deposit slip including cash bill counts
- Produces a donation summary by designation
- A secondary management application can view donation summaries
- An additional application page is used to enter and print envelopes designated for individuals
Refer to Deps App for usage guidelines, source code details and
an explanation of the Triangular features used.
|
| Individual Source Files |
- Use this link for a quick view of the source files used to build the system you are now using.
|
| Library of zip files |
- Use this link to download the a complete development environment. This includes the source files and a preloaded Datastore.
Instructions for using it are at ....
|
| LocalHost SuperUser Login |
- Use this access the Super User login page on a local development system, port 8882.
|


[gecode-users] LDS search
Christian Schulte
cschulte at kth.se
Tue Jan 22 22:22:55 CET 2008
Dear Stefano,
thanks so much! That was a shameful bug, my brain must have been off when I did that. I cannot even reconstruct what this nonsense should do. The fix is good and will be in the next release.
Christian
PS: That means we should also test search more thoroughly not only propagation.
--
Christian Schulte, www.ict.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf Of stefano.gualandi at fastwebnet.it
Sent: Friday, January 18, 2008 5:12 PM
To: users at gecode.org
Subject: [gecode-users] LDS search
Hi,
I think there is a small bug in the LDS search engine (not sure I am using it properly).
I attach a script raising the bug and a "temptative" of a patch for the file lds.cc, but I am not sure is correct...
Stefano
PS I am using gecode-2.0.0 release
More information about the gecode-users
mailing list


These are the slides for my !!Con west talk. This includes an interactive simulation - if you'd like to skip to that part, click here.
For the simulation, just edit the code, and press Ctrl or Cmd + S to save and run it.
Note that if you make a syntax error, the presentation will just stop working :(
Just copy your code and reload the page to get back to a working state
Sorry about that!
Wesley Aptekar-Cassels
@WAptekarControl theory is a subfield of mathematics that deals with the control of continuously operating dynamical systems ... The objective is to develop model for controlling such systems ...
$$ \dot{x} = \mathbf{A}x + \mathbf{B}u $$
$$ x = \text{state} $$
$$ u = \text{input} $$
$$ \mathbf{A}, \mathbf{B} = \text{state transition matrices} $$


Connect to ConfBook
Scan the QR code with your mobile agent or click the "Open in a Trusted Digital Wallet" link from your phone to form a connection with ConfBook. Once connected, ConfBook will ask for proof you are in possession of a verified email address credential. Don't have one? Get one at https://email-verification.vonx.io


| | |
- build_suite(classes)
- Creates a TestSuite for all unit test classes in the list.
Assumes that each of the classes in the list has unit test methods which
begin with 'test'. Calls unittest.makeSuite.
Returns:
A new unittest.TestSuite containing a test suite for all classes.
- check_data_classes(test, classes)
- close_client(client)
- Saves the recoded responses to a temp file if the config file allows.
This should be called in the unit test's tearDown method.
Checks to see if settings.CACHE_RESPONSES is True, to make sure we only
save sessions to repeat if the user desires.
- close_service(service)
- configure_cache(client, test_name)
- Loads or begins a cached session to record HTTP traffic.
Should be called at the beginning of each test method.
Args:
client: a gdata.GDClient whose http_client member has been replaced
with a atom.mock_http_core.MockHttpClient so that repeated
executions can used cached responses instead of contacting
the server.
test_name: str The name of this test method. Examples:
'TestClass.test_x_works', 'TestClass.test_crud_operations'.
This is used to name the recording of the HTTP requests and
responses, so it should be unique to each test method in the
test case.
- configure_client(client, config, case_name)
- Sets up a mock client which will reuse a saved session.
Should be called during setUp of each unit test.
Handles authentication to allow the GDClient to make requests which
require an auth header.
Args:
client: a gdata.GDClient whose http_client member should be replaced
with a atom.mock_http_core.MockHttpClient so that repeated
executions can used cached responses instead of contacting
the server.
config: a dict of test specific settings from the gdata.test_config
module. Examples can be found in gdata.test_config_template
look at BloggerConfig and ContactsConfig.
case_name: str The name of the test case class. Examples: 'BloggerTest',
'ContactsTest'. Used to save a session
for the ClientLogin auth token request, so the case_name
should be reused if and only if the same username, password,
and service are being used.
- configure_service(service, config, case_name)
- Sets up a mock GDataService v1 client to reuse recorded sessions.
Should be called during setUp of each unit test. This is a duplicate of
configure_client, modified to handle old v1 service classes.
- configure_service_cache(service, test_name)
- Loads or starts a session recording for a v1 Service object.
Duplicates the behavior of configure_cache, but the target for this
function is a v1 Service object instead of a v2 Client.
|


Feb 23,1992
28 yrs old
Lazaro 3 Compound Brgy 3, Calamba City Laguna
4th among 8th siblings
Batangas State University
Malvar Campus
Malvar, Batangas
Batch 2015
University of the Philippines
Los Baños
Laguna
March 2021
Production Engineer
Aerial Survey Engineer
Production Head Trainee
Assistant Installation Manager
Associate Data Engineer
Auto Cad 2D and 3D
Computer Programming
Game Development
Basic Electrical and Electronics knowledge and troubleshooting
Microsoft Oﬃce Proficient
Time Management
Interpersonal Skill
Automation Skills
I fly drones
Playing games
Traveling and taking drone shots
Internet browsing


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A friend and I recently bought Kratom leaves online. We had just tried Salvia Dinorum and were psyched to try other legal drugs. We prepared the tea by adding an ounce of the leaves to a liter of boiling water. We let it boil down for a while and then strained out the leaves. We put them in another liter of water and boiled that for a while, then strained it and combined the water from both. We boiled this down until there was only enough to fill two glasses, and then we drank it. It tasted bitter, but we chugged it and chased it with a lot of water.
After about 15 minutes we started to feel some dizziness and lightheadedness, accompanied by a pleasant mellow feeling. We felt contented and were completely unmotivated to move. Before long, though, we started to feel queasy. I went to the bathroom to vomit but only spat up a little phlem. It was like my stomach couldn't muster the energy to surrender its contents.  We found that lying down helped ease the nausea. Whenever we got up and moved around, though, we would start to feel sick. Now, six hours later, the mellow feeling is long gone, and I still start feeling sick if I'm too active. I have been taking breaks to close my eyes and recover every so often while typing this.
All in all this was one of the more unpleasant experiences I've had with drugs. I wouldn't recommend Kratom to anyone.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.