|
My Project
|
Enumerations | |
| enum | state { INIT, IDRAWU, DRAWINGUP, VERTEX, IDRAWD, DRAWINGDOWN, FINAL } |
| enum | event_type { LBDOWN, LBUP, MOVEUP, RESIDUAL, RBDOWN, RBUP, MOVEDOWN, OTHER } |
Functions | |
| int | mouse_subscribe_int (uint8_t *bit_no) |
| Subscribes Mouse interrupts. More... | |
| int | mouse_unsubscribe_int () |
| Unsubscribes Mouse interrupts. More... | |
| uint32_t | read_kbc () |
| Read from the kbc buffer. More... | |
| int | write_kbc_command (uint8_t command) |
| makes a kbd kernel call More... | |
| int | write_kbc_argument (uint8_t argument) |
| int | write_kbc_cmd_byte (uint32_t cmd_byte) |
| int | write_mouse_command (uint32_t command) |
| makes a mouse kernel call More... | |
| int | mouse_disable_int () |
| Disables mouse. More... | |
| int | mouse_enable_int () |
| Enables mouse. More... | |
| int | enable_data_report () |
| Enables Data report. More... | |
| int | disable_data_report () |
| Disables Data report. More... | |
| int | set_stream_mode () |
| Set stream mode of the mouse. More... | |
| int | set_remote_mode () |
| Set remote mode of the mouse. More... | |
| int | read_mouse_data (uint32_t *packet) |
| reads data from mouse buffer More... | |
| void | updateState (enum event_type evt) |
| updates the state of the mouse More... | |
| bool | event (struct packet *pp, uint8_t x, uint8_t tolerance) |
| handles an event of moving and clicking to make an M on the screen with the mouse More... | |
utils for mouse
| enum event_type |
| enum state |
| int disable_data_report | ( | ) |
Disables Data report.
| int enable_data_report | ( | ) |
Enables Data report.
| bool event | ( | struct packet * | pp, |
| uint8_t | x, | ||
| uint8_t | tolerance | ||
| ) |
handles an event of moving and clicking to make an M on the screen with the mouse
| packet | pointer to the mouse packet |
| x | minimum lenght of the arm |
| tolerance | permited to the user |
| int mouse_disable_int | ( | ) |
Disables mouse.
| int mouse_enable_int | ( | ) |
Enables mouse.
| int mouse_subscribe_int | ( | uint8_t * | bit_no | ) |
Subscribes Mouse interrupts.
| int mouse_unsubscribe_int | ( | ) |
Unsubscribes Mouse interrupts.
| uint32_t read_kbc | ( | ) |
Read from the kbc buffer.
| int read_mouse_data | ( | uint32_t * | packet | ) |
reads data from mouse buffer
| packet | pointer to the mouse packet |
| int set_remote_mode | ( | ) |
Set remote mode of the mouse.
| int set_stream_mode | ( | ) |
Set stream mode of the mouse.
| void updateState | ( | enum event_type | evt | ) |
updates the state of the mouse
| evt | enum of the mouse events |
| int write_kbc_argument | ( | uint8_t | argument | ) |
| int write_kbc_cmd_byte | ( | uint32_t | cmd_byte | ) |
| int write_kbc_command | ( | uint8_t | command | ) |
makes a kbd kernel call
| int write_mouse_command | ( | uint32_t | command | ) |
makes a mouse kernel call


HTTP stands for Hypertext Transfer Protocol. When you enter http:// in your address bar in front of the domain, it tells the browser to connect over HTTP. HTTP uses TCP (Transmission Control Protocol), generally over port 80, to send and receive data packets over the web. To put it simply it is a protocol that's used by a client and server which allows you to communicate with other websites. The client sends a request message to an HTTP server (after the TCP handshake) which hosts a website, the server then replies with the response message. The response message contains completion status information, such as HTTP/1.1 200 OK.
HTTPS stands for Hypertext Transfer Protocol Secure (also referred to as HTTP over TLS or HTTP over SSL). When you enter https:// in your address bar in front of the domain, it tells the browser to connect over HTTPS. Generally sites running over HTTPS will have a redirect in place so even if you type in http:// it will redirect to deliver over a secured connection. HTTPS also uses TCP (Transmission Control Protocol) to send and receive data packets, but it does so over port 443, within a connection encrypted by Transport Layer Security (TLS).
HTTP URL in your browser's address bar is http:// and the HTTPS URL is https://.
HTTP is unsecured while HTTPS is secured.
HTTP sends data over port 80 while HTTPS uses port 443.
HTTP operates at application layer, while HTTPS operates at transport layer.
No SSL certificates are required for HTTP, with HTTPS it is required that you have an SSL certificate and it is signed by a CA.
HTTP doesn't require domain validation, where as HTTPS requires at least domain validation and certain certificates even require legal document validation.
No encryption in HTTP, with HTTPS the data is encrypted before sending


{{+bindTo:partials.standard_nacl_api}}
| PP_Resource(* | Create )(PP_Instance instance) |
| int32_t(* | UpdateNetworkList )(PP_Resource network_monitor, PP_Resource *network_list, struct PP_CompletionCallback callback) |
| PP_Bool(* | IsNetworkMonitor )(PP_Resource resource) |
The PPB_NetworkMonitor
allows to get network interfaces configuration and monitor network configuration changes.
Permissions: Apps permission socket
with subrule network-state
is required for UpdateNetworkList()
. For more details about network communication permissions, please see: http://developer.chrome.com/apps/app_network.html
| PP_Resource(* PPB_NetworkMonitor::Create)(PP_Instance instance) |
Creates a Network Monitor resource.
| [in] | instance | A PP_Instance identifying one instance of a module. |
PP_Resource
corresponding to a network monitor or 0 on failure. | PP_Bool(* PPB_NetworkMonitor::IsNetworkMonitor)(PP_Resource resource) |
Determines if the specified resource
is a NetworkMonitor
object.
| [in] | resource | A PP_Resource resource. |
PP_TRUE
if resource
is a PPB_NetworkMonitor
, PP_FALSE
otherwise. | int32_t(* PPB_NetworkMonitor::UpdateNetworkList)(PP_Resource network_monitor, PP_Resource *network_list, struct PP_CompletionCallback callback) |
Gets current network configuration.
When called for the first time, completes as soon as the current network configuration is received from the browser. Each consequent call will wait for network list changes, returning a new PPB_NetworkList
resource every time.
| [in] | network_monitor | A PP_Resource corresponding to a network monitor. |
| [out] | network_list | The PPB_NetworkList resource with the current state of network interfaces. |
| [in] | callback |
A PP_CompletionCallback to be called upon completion. |
An int32_t containing an error code from
pp_errors.h
. PP_ERROR_NOACCESS
will be returned if the caller doesn't have required permissions.


WITNESS LIST Land & Resource Management Committee (Subcommittee on Urban Sprawl) March 21, 2002-10:00A county regulatory powers On: Harmon, Ron (Texas Association of Counties) Lee, Donald (Texas Conference of Urban Counties) Wood, Paul (Self and Wise County) land use regulation On: Gaines, Jimmy (Texas Landowners Council, Inc.) purchase of development rights For: Anderson, Jim Bill (Self) Behm, David (Connemara Conservancy Foundation Board of Trustees) Shackelford, Julie (American Farmland Trust) urban sprawl On: Farmer, Craig (City of Lubbock, City Planners Assn. of Texas, Texas Municipal League) Loftice, Nathan (Self and Defenders of Americans' Voice in Decision-Making) Millhon, Jerry (Fossil Rim Wildlife Center) Riley, Bob (City of Fort Worth, City Manager's Office) Ruiz, Javier (Humberto Hernandez, Regional Conservationist, NRCS) urban sprawl and downzoning On: Gonzalez, Daniel (Texas Association of Realtors)


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Hayley Schultz Digital Fabrication 2018
About Me
Team Challenges and Website Design
CAD, Fusion 360, and Design
Garment and UV Printer
Computer Controlled Cutting and Laser Cutting and Engraving
3D Printing and Meshmixer
Skateboards and Molds
Soldering and Electronics
Embroidery and Sewing
Arduino
Final Project


Show child attributes
Include child attributes
Data Type:
Citation count
Sum of references
Order by:
by Value
x-axis:
y-axis:


{% extends "onboarding/base.html" %}
{% block title %}
Congratulations!
{% endblock %}
{% block message %}
Sweet, you're officially a member of Canvas! Proud? You should be. Here are some ways to get started:
{% endblock %}
{% block skip_step %}{% endblock %}
{% block next_cover %}{% endblock %}
{% block next_button_text %}Finish »{% endblock %}


Evaluator is an open source quantitative risk analysis toolkit. Based on the OpenFAIR taxonomy and risk assessment standard, Evaluator empowers an organization to perform a quantifiable, repeatable, and data-driven risk review.
Three sample outputs of this toolkit are:
install.packages("evaluator")
# Optionally, to install the development verison from GitHub
# install.pacakges("devtools")
devtools::install_github("davidski/evaluator")
Optionally, a prototype Docker image is available on the Docker Hub.
The primary workflow for Evaluator involves gathering data in Excel then running the analysis from within the R and Evaluator environment:
From Excel:
From Evaluator:
A detailed guide is available in the vignette accessed via vignette("usage", package="evaluator")
While Evaluator is a powerful tool, it does not attempt to address interactions between risk scenarios, rolling up multiple levels of risk into aggregations, or other advanced topics. As you become more comfortable with quantitative risk analysis, you may wish to dive deeper into these areas (and I hope you do!). The following resources may help you explore these and other topics in risk management.
This project is governed by a Code of Conduct. By participating in this project you agree to abide by these terms.
The MIT License applies.


Maharashtra turmoil: NCP, Shiv Sena, Congress shift MLAs to hotels amid poaching threat
Following the meeting with NCP chief, BJP MP Sanjay Kakade said that he 'met Pawar for personal reasons'.
MUMBAI: Amid the high political drama in Maharashtra and threat of 'poaching' of MLAs, the NCP, Congress and Shiv Sena have shifted their legislators to different luxury hotels in Mumbai.
While the Congress moved its MLAs to the J W Marriott hotel in Juhu area, the NCP legislators were staying at The Renaissance hotel in Powai, sources said.
Besides, the Shiv Sena MLAs are staying at The Lalit hotel located near the international airport here, they said.
The Congress legislators were earlier supposed to leave for Jaipur, but later decided to stay in Mumbai in view of the fast-paced political developments here, they added.
On the other hand, BJP MP Sanjay Kakade met NCP Chief Sharad Pawar's at his residence here on Sunday.
Following the meeting with NCP chief, Kakade said that he "met Pawar for personal reasons".
The meeting between Kakade and NCP chief comes ahead of Supreme Court hearing on a joint plea of Shiv Sena, NCP and Congress against the decision of Maharashtra Governor inviting BJP's Devendra Fadnavis to form the government.
Maharashtra government will not be represented by anyone in the Supreme Court today when the apex court will hear a joint plea of Shiv Sena, NCP and Congress against the decision of Maharashtra Governor to invite BJP's Devendra Fadnavis to form the government in the state, said sources.
Sources informed that since Maharashtra government has not been given any notice by the Supreme Court it has decided not to have its representation in the court.
However, the Standing Counsel of the Maharashtra government has been asked to remain on 'standby' and adequately represent the government in case the court asks for or if needed.
Attorney General of India, KK Venugopal is likely to appear for the Raj Bhavan while senior counsel Mukul Rohatgi is likely to represent BJP in the Supreme Court.
The petitioners - Shiv Sena, NCP and Congress - have requested the Supreme Court to order a floor test to be held on Sunday itself. Senior Congress leader and advocate Kapil Sibal will appear in the court on behalf of the petitioners.
The matter will be heard at 11:30 am today.
After a prolonged uncertainty over the government formation that lasted for nearly a month, Devendra Fadnavis on Saturday morning took oath for the second consecutive term as the state Chief Minister, while Ajit Pawar took oath as deputy chief minister.
On the other hand, the Nationalist Congress Party late on Saturday moved 44 MLAs to Renaissance Hotel here on Saturday.
The BJP won 105 seats in the 288-member assembly followed by Shiv Sena 56, NCP 54 and Congress 44.
(With ANI Inputs)


Multi-select Search Tree List
Please don't be surprise! - The three examples share the same data binding. IT DOESN'T HAVE TO BE. Use a different model/list for each
Account Manager - [extra-buttons = true]
Account Manager
Account Manager
×
My Search Tree List
http://portfoliokjvelarde.azurewebsites.net/
www.kjvelarde.com
"Data-Output-Model" = ng-model
{{selectedItem2}}


| DOSE: T+ 0:00 |
130 mg |
oral |
Methylone |
(powder / crystals) |
| T+ 1:00 |
50 mg |
|
Methylone |
(powder / crystals) |
| T+ 4:00 |
30 mg |
|
Methylone |
(powder / crystals) |
| T+ 5:00 |
0.5 bowls |
smoked |
Cannabis |
(plant material) |
A fascinating substance -- sort of like surgically removing the empathy and energy from MDMA and enjoying the rest.
Consumed: 130mg, followed by 50mg, followed by 30mg. Cannabis (1/2 bowl).
t:0.0 -- Consumed 130mg Methylone carefully weighed. This is less than the general 150mg dose I've seen in trip reports but safety first. Another individual, M (female) took the same dose.
t:0.25 -- Whoa! Phenethylamine alert! Head feels very light. Like helium in the skull pushing at the sides. M makes comment, 'Is this E? 'Cause it feels like coming up on E.'
t:1.0 -- Proceed with 50mg bump. We are very talkative. Music is ok. No desire to dance at all. Mouth is REALLY DRY. This persists the whole night.
t:2.0 -- Now things are great. Good euphoria. Body waves (rolling). NO empathy. NO energy (lethargic, even). Those parts are missing. Solid +++ but this drug could not have a ++++. It's not part of its nature.
t:4.0 -- Proceed with 30mg bump. It's impossible to dance. We tried. The substance doesn't lend itself to activity. Communication is very liquid. Mouth is still dry as the desert! Interesting thought -- MDMA seems to force abject honesty (empathy?) while Methylone is missing that component and just allows communication to occur naturally.
t:5.0 -- M notices NO effect from bump. I notice slight effect if that. M and I split a bowl. Body load ensues. M feels very very very queasy and eventually needs a benzo to go to sleep. Not so bad for me but remember I have 60 lbs on her by body weight (and she consumed a bit more herb). In general the experience went downhill after the consumption of cannabis from a body load perspective.
t:6.0 -- Examining the downward descent: mentally it was OK, I guess, but I would have skipped the cannabis in hindsight.
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.


When you install RssBandit, you'll notice that RSS Bandit includes a few default feeds. Feel free to read and enjoy them. There are a couple devoted to Rss Bandit in there along with popular feeds such as Wired News and Slashdot.
If that doesn't satisfy you, Rss Bandit makes it easy to subscribe to new feeds. Just follow the instructions below and you'll be on your way to reading 1400 feeds a night. Don't say we didn't warn you.
Click on a feed link
There are several ways to subscribe to a feed. One of the simplest is to
click on a link with a feed: protocol. Typically this will be advertised
as a one click subscription like. For example, clicking on feed://haacked.com/Rss.aspx
will bring up the dialog in Figure 3.
Drag and Drop
Another easy method to subscribe to a feed is to simply drag and drop the
URL from a web page into RSS Bandit.  Left click and hold on the url and drag it underneath
the category folder you wish to add the feed to. When you let go of the
link, the feed will show up in your feed list. The beauty of this approach
is that the dialog in Figure 3 is not displayed nor is it needed.
Right Click
Another simple method is to right click on a link to a feed within a web
page. The context menu will include an item with the label "Subscribe
in default aggregator" (See figure 1). Clicking this item will bring
up the dialog in Figure 3.
Figure 1. Subscribe context menu.
Add Subscription Wizard
( New in version 1.3)
Version 1.3 introduces the new Add Subscription Wizard
used to add subscriptions to RSS Feeds and NNTP News Groups. There
are two ways to reach the wizard. One is to select File
| New Subscription item from the menu. The second is to
simply click on the New... button in the toolbar (figure 2).
Figure 2. Tool bar with New Subscription button.
Figure 3. Add New Subscription Dialog.
Clicking Next will take you to the next screen which differs based on how you launched the wizard. If you used the File Menu, you'll see the screen in figure 4. This allows you to choose the source of the subscription.
Figure 4. Subscription Sources Dialog.
If you clicked on the New... button in the toolbar, it takes you directly to the first subscription source, New subscription by URL as in Figure 5.
Figure 4. New Subscription by URL Dialog.
This dialog accepts the URL to the feed you wish to subscribe to. However, if you do not know the full URL to the feed (and who really remembers these things?) simply enter the url of the website and the wizard will attempt to automatically discover the url to the feed on the page. If there are more than one feed on the page, the wizard will display them all and let you choose one. If there is only one feed discovered on the page, then the wizard will take you directly to a screen that allows you to specify the title and category as in figure 5.
Figure 5. Title and Category Dialog.
After entering a title and category, click Next to get to the Subscription Credentials Dialog as in figure 6. If the subscription does not require credentials (the most common case), simply leave the fields blank and click Next.
Figure 6. Security Credentials Dialog.
The next screen (figure 7) allows you to specify additional properties related to a feed and it's items such as the update frequency, when to remove old items, whether you want to enable alerts, and whether or not to mark items as read when exiting a feed.
Figure 7. Feed/Item Control Dialog.
The final input screen allows you to specify a custom formatter for the feed. Custom formatters control the look and feel of a feed when displayed in the reading pane.
Figure 8. Feed/Item Display Dialog.
Clicking Next takes you to a Wizard Complete! screen. Make sure to click Finish to finish adding the subscription. The feed is now in the list of subscribed feeds. Enjoy a good read!
Figure 4. Unread items within a feed.


A group of factory workers can wrap 830 candies an hour . How many candies can they wrap in 72 hours?
To analyze and solve the problem , you can use these steps.
A. Understand
1. Read and understand the problem.
2. Know what is asked for in the problem.
The number of candies that a group of factory workers can wrap in 72 hours?
3. Find the necessary information. The given facts are :
830 candies an hour, 72 hours
B. Plan
Determine the operation to be used . Multiplication. Write the number sentence.
72 x 830 = n.
C. Solve
Solve using the operation
D. Check and look back
See if your answer makes sense. State the complete answer.
A group of workers can wrap 59 760 candies in 72 hours.


{% extends 'site_base.html' %} {% import 'drill_down.html' as drill_down with context %} {% block site_content %} {{ super() }}


{% extends "base-site.html" %} {% block title %} Executed {% endblock %} {% block content %}
| Name | Created | Action State | Workflow State | Output |
|---|---|---|---|---|
| {{ action.name }} | {{ action.creationTimestamp }} | {% if action.action_state == 'PystolActionCreating' %} {{ action.action_state }} {% elif action.action_state == 'PystolActionRunning' %} {{ action.action_state }} {% elif action.action_state == 'PystolActionEndedSuccessfully' %} {{ action.action_state }} {% elif action.action_state == 'PystolActionEndedFail' %} {{ action.action_state }} {% elif action.action_state == 'PystolActionEndedFailTimeout' %} {{ action.action_state }} {% else %} State not found, report! {{ action.action_state }} {% endif %} | {% if action.workflow_state == 'PystolOperatorWaitingAction' %} {{ action.workflow_state }} {% elif action.workflow_state == 'PystolOperatorStartProcessingAction' %} {{ action.workflow_state }} {% elif action.workflow_state == 'PystolOperatorCreatingJob' %} {{ action.workflow_state }} {% elif action.workflow_state == 'PystolOperatorExecutingAction' %} {{ action.workflow_state }} {% elif action.workflow_state == 'PystolOperatorEnded' %} {{ action.workflow_state }} {% else %} State not found, report! {{ action.workflow_state }} {% endif %} | OPEN |


RowAction
public class RowAction
Higher-API class for UIContextualAction
**Example Usage**
- Create Action
````
var rowAction: RowAction {
RowAction { [weak self] in
guard let `self` = self else { return }
let alertController = self.alertControllerExample
let act = self.dismissAction(for: alertController)
alertController.addAction(act)
self.present(alertController, animated: true, completion: nil)
}
}
````
- set up title and color
````
var leadingActions: [RowAction] {
let action = rowAction
action.backgroundColor = .green
action.title = "Done"
return [action]
}
````
- add to a row
````
let model = StringCellModel(uniqueID: ID, text: title)
let row = TableViewRow<StringCell>(model: model,
onTap: { debugPrint("tapped with \($0)")})
row.addRowLeadingActions(leadingActions)
````
-
Title of the action
Declaration
Swift
public var title: String?
-
Background color
Declaration
Swift
public var backgroundColor: UIColor?
-
Image
Declaration
Swift
public var image: UIImage?
-
Constructor
Declaration
Swift
public init(action: @escaping () -> Void)
Parameters
action
Action that is performed on action tap


I am a 4th year Electrical Engineering student at The University of British Columbia. I am very passionate and closely follow new and upcoming technology like Mixed Reality. I love doing extra curricular activities outside of my academic requirements. I previously worked at UBC IRP, supporting the Workday implemetation for Business and HR processes for Faculty of Medicine. I also worked at UBC Emerging Media Lab as a Software developer for Volumetric Capture in Medical Training Project. I implemented Teleportation feature using C#,Unity, SteamVR and DepthKit.
I also worked on the Opioid Overdose Response project with Code the Change UBC for University Health Network Toronto. I implemeted the sign-in and authentication feature using JavaScript(NodeJS and ExpressJS), MongoDB and Twilio. I love the idea of Hackathons and till now, I have attended NwHacks 2019/2020/2021 and TreeHacks 2021. I got to learn a lot of new tools and made amazing projects. I am actively looking for Software Engineeing internships for the summer of 2021. I have attached my resume in the link below. Feel free to connect with me !!!
Eddy the Edu Bot was made at a Week-long Hackathon focused on improving education experience during the COVID-19 Pandemic. We used Python, Microsoft Bot Framework, Figma and Adaptive card to code the bot. We implemented the bot for Microsoft Teams and Slack Platforms. For the demo, we integrated Canvas LMS with Microsoft Teams and Slack.
Close ProjectI worked with another remote developer on a project to build the clone of donut.com web site as a part of Chingu Voyage 9 Program. I used HTML, CSS, jQuery and Flexbox to build this clone. This project was selected as the best Tier 1 project during the project showcase.
Close ProjectAs part of the 2nd year Engineering Design course, we were tasked to build a Reflow Oven Controller to bake our own microchips. I assisted in implementing the hardware of the project and built the failsafe switch. I also implemented additional software features which boosted the grades of all team members by 15%. I implemented a Python script using Twilio SMS API to notify user at every step of the Reflow Oven process. I wrote another Python script to capture a screenshot of the graph generated and send it to user’s email at the end of the Reflow Oven process using SendGrid API.
Close ProjectUBC is undergoing a Systems Transition from PeopleSoft to Workday ERP software for Human resources and Finance Processes. UBC Integrated renewal Program is responsible for this transition. This is the largest implementation of Workday in Education sector and it was implemented remotely during COVID-19 pandemic
I worked as a Workday Learning Rover for the UBC Integrated Renewal Program. I assisted Faculty of Medicine and its 16,000+ end users(Staff, Students and Faculty) in the Systems Transition to Workday ERP software. I hosted Workshops and support sesions using Zoom and Canvas LMS. I also built dashboards using Excel, Powerpoint and APIs to share progress with team lead.[more information in resume]
CloseCode the Change Foundation is a Non-Profit Organization that builds software solutions to enhance the effectiveness of non-profit organizations.
I worked on a project for Universty Health Network Toronto, to build an Opioid Overdose Response Application. We built a web app to provide opioid users with timely responses from a group of respondents and the emergency services. I used MongoDB, React, ExpressJs, NodeJS (MERN Stack) and Twilio API for implementing text messaging functionality for authentication purposes. I also deployed the prototype on AWS environment to test response time of the prototype [more information in resume].
About Code the Change Fondation UBC
UBC Emerging Media Lab is experimental space where faculty, staff and studenst work to evolve learning by creating tools and techniques using emerging media. It is modelled after the MIT Media Lab
I worked on a project in collaboration with MedIT, to develop interactive lectures to help students at remote locations receive a rich interactive learning experience using Virtual Reality technology and volumetric video capture technology. I used tools like Unity, Depthkit, SteamVR, and C# language to add teleportation and head movement functionality to the user, to reduce VR motion sickness. I also tested the demo and presented the project at UBC EML Summer Showcase 2019 [more information in resume].
Volumetric Capture in Medical Training - Project website


Now a days communicating to other people are very important in every aspect of our life. We can’t live without our devices to use them to communicate with others. This generation the necessity to every people are the gadgets or devices that uses to communicate. But somehow to communicate to other people are they need a lot of money to buy the gadgets they want, because this device has a great feature it’s not just about in communication but you can also do want ever you want in this devices. But how much we are talking in terms of money? Maybe their price can range about $ 1,000. Some other can buy this thing but for the others maybe it’s not appropriate to buy this device because it’s too much expensive.
In the past decade this device that are use to communication are very affordable maybe it cost only $80-50 for each devices. Why it is now that every device is too much expensive? Maybe because the quality of their product are much better to their competitor and also their feature on their devices. Also this device can do something that cannot do into the other devices in the market. But the question is? If it is affordable to the other people? To buy this things? Just to communicate to other people? It’s not bad to buy this thing to communicate to other people but it’s very important to think first if it is important before buy this thing.
This Device
device is very high-technology because it’s offer some feature that can help the user to the specific things it’s not just to communicate but also to some stuff. One of that is the camera of every device. If they love to take a picture every time and then they can use this device and save it to their memory. Another one are they can listen to music; they can monitor their work using the calendar. One of the very important of this devices are they are capable in internet they can use this like a mini laptop because some feature in laptop can do in this devices. This device is called “mobile phone or smart phone”.
There can be no thought of finishing for ‘aiming for the stars.’ Both figuratively and literally, it is a task to occupy the generations. And no matter how much progress one makes, there is always the thrill of just beginning.
Some other people are buying this stuff even if it cost too much but they are some brand are much cheaper to this device but take note the quality and the feature are not the same but it is worth for just a low cost of money. The very important are we can communicate to our love one’s, even if we are far away from them. But in the end of the day It’s not just how much the price but how can this device help other people in a simple way.


bent_plume_model.ModelParams¶
-
class
bent_plume_model.
ModelParams
(profile)[source]¶ Fixed model parameters for the bent plume model
This class stores the set of model parameters that should not be adjusted by the user and that are needed by the bent plume model.
- Parameters
- profileambient.Profile object
The ambient CTD object used by the simulation.
Notes
This object inherits all of the parameters of the single_bubble_model.ModelParams object.
- Attributes
- alpha_jfloat
Jet shear entrainment coefficient.
- alpha_Frfloat
Plume entrainment coefficient in Froude-number expression.
- gammafloat
Momentum amplification factor
- Fr_0float
Initial plume Froude number for the Wuest et al. (1992) multiphase plume initial conditions
- rho_rfloat
Reference density (kg/m^3) evaluated at mid-depth of the water body.
- gfloat
Acceleration of gravity (m/s^2)
- Rufloat
Ideal gas constant (J/mol/K)
Methods
__init__
(self, profile)Initialize self.


{% extends "narrow_base.html" %} {% load bootstrap4 %} {% block content %} {% if validlink %}
That link is no longer valid. You might have already used it to reset a password


Pat's Salmon Cookies: Inventory Projections
Cookies Needed by Location Each Day
Homepage >
Store Name:
Min Customers:
Max Customers:
Avg Cookies:
Address:
Phone Number:


recognize_face module¶
-
recognize_face.
recognize_face
(face_vector, recognition_thresh)[source]¶ Reads face vectors from the records, compares them with the input vector using l2 norm returns the rollnumber against the best match :param face_vector: {np.ndarray} The face vector which is to be matched. :param recognition_thresh: {float} The min threshold for l2 distance :return: {str} The matchde roll number or None


I develop UX strategies and teams that put businesses ahead of the competition.
A McKinsey study found that companies with superior design capabilities have 6.4%p higher revenue growth p.a. than their competitors. Other research puts the ROI of good UX at 9900%. That's what I do. I make users happy and businesses successful.
Currently, I'm Director of Product Design at BestSecret Group. I've gained extensive experience in UX strategy, leadership, & management, in both academia and industry, at start-ups and large corporations alike. I received my Ph.D. in Computer Science for my work on search interaction optimization and human-centered design at the R&D department of Unister. Afterwards, I joined bitstars (now part of Faro Technologies) as a VP to work on their AR/VR platform HoloBuilder. During my post-doc at the University of Michigan in Ann Arbor, I continued working on interaction design, usability, and AR/VR topics. And as the first UX Manager in C&A's eCommerce department, I established their UX and experimentation practice from scratch. For my academic work, I received Best Paper awards at ACM CHI and ACM EICS, where I have also regularly served as a reviewer.
Apart from that, I love to write, about anything UX and design—and poetry.


Default timezone used by all date/time functions. Setting this to an empty value uses the default for your version of PHP.
Please see the PHP manual's documentation of the configuration option for more details.
(Available since PHP 5.1.0)


Controls: W or Up Arrow to pitch up. S or Down Arrow to pitch down. A or Left Arrow to roll left. D or Right Arrow to roll right. + and - to increase and decrease speed. Refresh page to generate new terrain.
The terrain is generated using an algorithm called the Diamond Square Algorithm. The movement of the camera in the 3D space is done by manipulating the parameters for WebGL's lookat() function. Fog is implemented in the GLSL fragment shader by using the distance of the fragment from the viewplane. Shaded using the Blinn-Phong illumination method, and Gouraud Shading for better performance.


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/semiring.20homomorphisms.html ---
There is a class for ring homomorphisms: https://github.com/leanprover/mathlib/blob/7d1ab388bb097db5d631d11892e8f110e1f2e9cd/algebra/ring.lean#L60
But there is no class for semiring homomorphisms. Does it make sense to change broaden this class into semiring homomorphisms?
You need to preserve zero for a semiring homomorphism
in fact, I guess it's just the same as a monoid homomorphism which is also an additive monoid homo
Aah, yes. That is not automatic
Ok, so, shall I add a new class for semiring homs?
if you like
What is a natural place for it? I am a bit surprised that the definition of a semiring is in core...
Otherwise it would be natural to add it after the definition of semiring
the mathlib file for ring-like stuff is algebra/ring.lean
Ok, I will find some place in that file
semiring is defined in core because nat is a semiring and that defines all the operations on nat
I think this will change in lean 4 though
Ok
Aah, and it seems like monoid_homs are also not yet there
Does this have anything to do with the "algebraic hierarchy" that I sometimes hear people talking about?
At the moment there is a class for homomorphisms between two group
s but if one (or both) of my groups are additive, there is no class for homomorphisms. Does this mean we need 4 classes to cover all the possibilities?
let's just say that is a point of discussion
One option is to use multiplicative
to interpret an additive group as a multiplicative group
We have not made any significant effort to have a full complement of morphisms between the various available structures in mathlib
the ones that exist have basically been added ad-hoc as people needed them, and I'm fine with that
Ok, I see
Am I correct that parametricity could help here?
Well, transport_to_additive
can be seen as a special case of parametricity
but there is also a lot of renaming to be done by the tactic
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Nifti reader test
Image:
R-L labeled average (ras)
R-L labeled average (rai)
R-L labeled average (rps)
R-L labeled average (rpi)
R-L labeled average (las)
R-L labeled average (lai)
R-L labeled average (lps)
R-L labeled average (lpi)
R-L labeled average (big-endian)
z map
Slice from right:
Slice from anterior:
Slice from superior:


Over-represented Gene Ontology (GO) terms among ( a) up-regulated and ( b) down-regulated transcripts in mussels brought into captivity. White bars correspond to the transcriptome. Black bars correspond to the differentially expressed subset of transcripts.


Module: Concurrent::ErlangActor::Functions
- Included in:
- Concurrent::ErlangActor
- Defined in:
- lib-edge/concurrent/edge/erlang_actor.rb
Overview
A module containing entry functions to actors like spawn_actor, terminate_actor. It can be included in environments working with actors.
Instance Method Summary collapse
-
#default_actor_executor ⇒ ExecutorService
The default executor service for actors.
-
#default_executor ⇒ ExecutorService
The default executor service, may be shared by other abstractions.
-
#spawn_actor(*args, type:, channel: Promises::Channel.new, environment: Environment, name: nil, executor: default_actor_executor, &body) ⇒ Pid
Creates an actor.
-
#terminate_actor(pid, reason) ⇒ true
Same as Environment#terminate, but it requires pid.
Instance Method Details
#default_actor_executor ⇒ ExecutorService
Returns the default executor service for actors
519 520 521 |
# File 'lib-edge/concurrent/edge/erlang_actor.rb', line 519 def default_actor_executor default_executor end |
#default_executor ⇒ ExecutorService
Returns the default executor service, may be shared by other abstractions
525 526 527 |
# File 'lib-edge/concurrent/edge/erlang_actor.rb', line 525 def default_executor :io end |
#spawn_actor(*args, type:, channel: Promises::Channel.new, environment: Environment, name: nil, executor: default_actor_executor, &body) ⇒ Pid
Creates an actor. Same as Environment#spawn but lacks link and monitor options.
492 493 494 495 496 497 498 499 500 501 502 503 |
# File 'lib-edge/concurrent/edge/erlang_actor.rb', line 492 def spawn_actor(*args, type:, channel: Promises::Channel.new, environment: Environment, name: nil, executor: default_actor_executor, &body) actor = ErlangActor.create type, channel, environment, name, executor actor.run(*args, &body) return actor.pid end |
#terminate_actor(pid, reason) ⇒ true
Same as Environment#terminate, but it requires pid.
509 510 511 512 513 514 515 516 |
# File 'lib-edge/concurrent/edge/erlang_actor.rb', line 509 def terminate_actor(pid, reason) if reason == :kill pid.tell Kill.new(nil) else pid.tell Terminate.new(nil, reason, false) end true end |


Use Standard Release
Use Local File
Download
Select File
No file selected.
Overwrite bootloader:
No AudioMoth found.
Make sure the USB cable is connected and the switch is in USB/OFF.
Flash AudioMoth
Flash AudioMoth


This is my first tag!!!
Heading 1
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of text that doesnt mean
anything
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red
orange
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red
orange
yellow
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apple
cherry


How you can get into a Vols Basketball or Volleyball game for free
KNOXVILLE, Tenn. (WVLT) — You could see a Vols Basketball or Volleyball game for free!
All you have to do is donate two canned goods at Food City to get tickets.
Here's a full list of qualifying games:
Basketball
11/20 - Vols vs. ASU
Volleyball
11/22 - Lady Vols vs. Alabama
11/24 - Lady Vols vs. Missouri
To get tickets you'll need to donate at one of these Food City locations:
November 21
5:30 to 6:30 p.m. at 7350 Clinton Highway
November 22
5:30 - 6:30 p.m. at 11501 Hardin Valley Road


radproc.raw.process_radolan_data¶
-
radproc.raw.
process_radolan_data
(inFolder, HDFFile, idArr=None, complevel=9)¶ Converts all RADOLAN binary data into an HDF5 file with monthly DataFrames for a given study area without generating a new ID raster.
All RADOLAN binary files in a directory tree are imported, clipped to study area, converted into monthly pandas DataFrame and stored in an HDF5 file.
The names for the HDF5 datasets are derived from the names of the input folders (year and month). The directory tree containing the raw binary RADOLAN data is expected to have the following format:
<inFolder>/<year>/<month>/<binaries with RADOLAN data>
–> <inFolder>/YYYY/MM
–> C:/Data/RADOLAN/2008/5
In this example, the output dataset will have the path 2008/5 within the HDF5 file.
Additionally, a textfile containing all directories which could not be processed due to data format errors is created in directory of HDF5 file.
Parameters: - inFolder : string
- Path to the directory containing RADOLAN binary files stored in directory tree of following structure:: <inFolder>/YYYY/MM –> C:/Data/RADOLAN/2008/5
- HDFFile : string
- Path and name of the HDF5 file. If the specified HDF5 file already exists, the new dataset will be appended; if the HDF5 file doesn’t exist, it will be created.
- idArr : one-dimensional numpy array (optional, default: None)
- containing ID values to select RADOLAN data of the cells located in the investigation area. If no idArr is specified, the ID array is automatically generated from RADOLAN metadata and RADOLAN precipitation data are not clipped to any investigation area.
- complevel : interger (optional, default: 9)
- defines the level of compression for the output HDF5 file. complevel may range from 0 to 9, where 9 is the highest compression possible. Using a high compression level reduces data size significantly, but writing data to HDF5 takes more time and data import from HDF5 is slighly slower.
Returns: No return value Function creates datasets for every month in HDF5 file specified in parameter HDFFile. Additionally, a textfile containing all directories which could not be processed due to data format errors is created in HDFFolder.Notes: See File system description for further details on data processing.
This function can be used to process RADOLAN data without having ArcGIS installed.
Format description and examples: After the import, individual DataFrames can be loaded into memory from the generated HDF5 file using
radproc.core.load_month()
or several DataFrames within the same year can be loaded together usingradproc.core.load_months_from_hdf5()
Every row of the output DataFrames equals a precipitation raster of the investigation area at the specific date. Every column equals a time series of the precipitation at a specific raster cell.
Data can be accessed and sliced with the following Syntax:
df.loc[row_index, column_name]
with row index as string in date format ‘YYYY-MM-dd hh:mm’ and column names as integer values
Examples::
>>> dataHDF5 = r'C:\Data\HDF5\RW.h5' >>> df = radproc.load_month(HDFFile=dataHDF5, year=2008, month=5) >>> df.loc['2008-05-01 00:50',414773] #--> returns single float value of specified date and cell >>> df.loc['2008-05-01 00:50', :] #--> returns entire row (= raster) of specified date as one-dimensional DataFrame >>> df.loc['2008-05-01', :] #--> returns DataFrame with all rows of specified day (because time of day is omitted) >>> df.loc[, 414773] #--> returns time series of the specified cell as Series


Material: HTML files
, Python scripts
and Jupyter notebooks
associated to C Pouzat's lectures at LASCON 2016.
All computations are done with the anaconda distribution of Python 3. The HTML
files were generated with org-mode of emacs.
The material related to the first lecture can be found in file: OriginOfTheHighFrequencyExtraCellularSignal. For the second lecture look at: SpikeSortingTheElementaryWay.


This is a NebulaDSS node HTTP interface. For more information, please see
https://github.com/jzerbe/Nebula-DataStoreService
.
Submit data to this node for inclusion in the storage cloud using the below form.
Local Node Statistics


{# # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -#} {% extends "email/_base/body.html" %} {% set site = request.registry.settings["site.name"] %} {% block content %}
{% trans project=project, submitter=submitter %}Your team's role for the {{ project }} project has been changed by {{ submitter }}.{% endtrans %}
{% if role == 'Owner' %} {% trans %}Your team now has permissions to administer the project. You can add other collaborators, upload releases and delete files, releases or the entire project.{% endtrans %} {% elif role == 'Maintainer' %} {% trans %}Your team now has permissions to upload releases for the project. You can upload releases but cannot add collaborators, delete files, releases or the project.{% endtrans %} {% endif %}
{% endblock %} {% block reason %} {% trans project=project, submitter=submitter %}You are receiving this because your team's role was changed by {{ submitter }} for the {{ project }} project.{% endtrans %} {% endblock %}


Kindness is the base of empathy and it is essensial for success in all areas of life. And trust is one of the most important abilities that enables us to be effective. And it is the empathy that helps us to build trust. I found it is essential to listen, ask open-ended questions and providing feedback to establish trust.
Trust needs to begin with openness, kindness and sincerity. And I totally agree with the author that trust begets trust.
Empathic listening strengthens our midnfulness, kindness, and as a result we become more perceptive and receptive.
I didn't try the meditation, but I agree that "kindness is a sustainable source of happiness".
View #1.
I used to coordinate one small project, and I needed an engineer to be assigned to one of the tasks under this project. I sent an enquiry to resource manager, and my request was declined with the comment that we didn't have enough engineers. I think that every project is important for the company and customer service should be at its highest level even for small customers.
View #2.
We received an enquiry to assign an engineer for a customer we don't have a contract with. We only have one available engineer at the moment, and if he is assigned to this small task, in case we get a call from one of our main customers (the ones that are on contract with us), we won't be able to cover their call. It is better to delay an unimportant call that brings ~$100 profit to the company, and wait for more resources available, rather than to risk our relationship with big customers.


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| Number of Classes | Line Coverage | Mutation Coverage | Mutation Score |
|---|---|---|---|
| 8 | 58% | 30% | 21%
Killed: 31
Uncertain: 38
|
| Name | Line Coverage | Mutation Coverage | Mutation Score |
|---|---|---|---|
| ConfigurableSMPPServerSessionListener.java | 55% |
33% |
23%
Killed: 3
Uncertain: 5
|
| DeliveryReceiptTask.java | 44% |
20% |
0%
Killed: 0
Uncertain: 2
|
| JSMPPServer.java | 69% |
31% |
11%
Killed: 1
Uncertain: 5
|
| JSMPPServerSimulator.java | 80% |
31% |
12%
Killed: 4
Uncertain: 23
|
| OptionalParameterAdapter.java | 79% |
46% |
86%
Killed: 6
Uncertain: 0
|
| SlowPduSender.java | 25% |
7% |
8%
Killed: 4
Uncertain: 0
|
| SubmitSmAdapter.java | 43% |
46% |
35%
Killed: 7
Uncertain: 0
|
| WaitBindTask.java | 74% |
52% |
55%
Killed: 6
Uncertain: 3
|


--- layout: post title: Insomniacs Olympics date: 2006-05-12 00:00:00 category: personal ---
Mmm. Much-needed coffee, sunshine, a 2.5 hour drive to Cambridge and back, and then a summery weekend :)


https://adsecurity.org/?p=2293
Abusing Microsoft Kerberos Sorry You Guys Don’t Get It (aka the Mimikatz Golden Ticket Presentation) – Skip Duckwall & Benjamin Delpy
PAC Validation issue aka the Silver Ticket description from the Passing the Hash Blog
Kerberoast: Tim Medin’s Attacking Microsoft Kerberos: Kicking the Guard Dog of Hades” presentation at DerbyCon 2014. [Slides: https://www.dropbox.com/s/1j6v6zbtsdg1kam/Kerberoast.pdf?dl=0 ]
Mimikatz and Active Directory Kerberos Attacks
Detecting Forged Kerberos Ticket (Golden Ticket & Silver Ticket) Use in Active Directory
http://www.harmj0y.net/blog/activedirectory/s4u2pwnage/
https://www.youtube.com/watch?v=RIRQQCM4wz8 | Et Tu Kerberos Christopher Campbell
Complete
http://adsecurity.org/?p=227 - Kerberos Primer
https://adsecurity.org/?p=483 - KRBTGT Account primer
https://adsecurity.org/?p=1640 - Golden tickets enhanced with SID History
https://adsecurity.org/?p=1667 - Kerb Unconstrained delegation
https://www.slideshare.net/gentilkiwi/abusing-microsoft-kerberos-sorry-you-guys-dont-get-it
https://web.archive.org/web/20150318223528/aorato.com/blog/active-directory-vulnerability-disclosure-weak-encryption-enables-attacker-change-victims-password-without-logged/
http://passing-the-hash.blogspot.com/2014/09/pac-validation-20-minute-rule-and.html
https://blog.ropnop.com/using-credentials-to-own-windows-boxes-part-2-psexec-and-services/
https://adsecurity.org/?p=2011
Service Principal Name Reference (SPN) Guide
https://www.harmj0y.net/blog/powershell/kerberoasting-without-mimikatz/
https://labs.mwrinfosecurity.com/blog/trust-years-to-earn-seconds-to-break/ | S4U2Self and Kerberos


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© Copyright 2023, The Post, Athens, OH
Want to learn more about us? Check us out at thepostathens.com, email us at<EMAIL_ADDRESS>or follow our social media below!


£300 for the whole system. Even smaller and cheaper one is on the way
Download our code and try immediately with your own hardware.
Open-source design free for educators, researchers and hobbists
We make our boat with love, you'll love it too


Welcome to JavaScript Fun Practice Grounds!
This is a place in which to practice freely and add details as wanted!
Check out the solutions files if you want to practice some javascript!


--- title: "Managing Runs" output: rmarkdown::html_vignette: default vignette: > %\VignetteIndexEntry{Managing Runs} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} type: docs repo: https://github.com/rstudio/tfruns menu: main: name: "Managing Training Runs" identifier: "tools-tfruns-managing" parent: "tfruns-top" weight: 30 aliases: - /tools/tfruns/articles/managing.html ---
Any graphical or console output as well as file artifacts created by a training run (e.g. saved models or saved model weights) can be viewed from the Output tab of the run view:
You can use the copy_run_files()
function to export file artifacts from runs into another directory. For example:
You can also use the copy_run()
function to export a run directory in it’s entirety. For example, this code exports the specified run to a “best-run” directory:
Note that copy_run()
will accept any number of runs. For example, this code exports all run directories with an evaluation accuracy greater than 0.98 to a “best-runs” directory:
You can use the clean_runs()
function to archive a set of runs you no longer need the data from. For example, this code archives all runs with an eval accuracy less than 0.98:
If you don’t specify a set of runs to clean then all runs will be archived:
Note that you’ll always get a confirmation prompt before the runs are actually archived.
When runs are archived they are moved to the “archive” subdirectory of the “runs” directory. If you want to permanently remove runs from the archive you call the purge_runs()
function:


2017 Synopsys Championship:
Individual Application Form
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After an inquiry from me and the staff team and reviewing the evidence, we have gathered a timeline of what has happened and have decided on the following result:
Mithu: 3 day suspension from the staff team; no other punishment
Gecko: No punishment
A lot of you may be asking on why we made this decision and we can answer with the following: We believe that this is the fairest decision that takes all sides into account and provides a punishment that is equal to the ammount of damage done. Only the person(s) punished may appeal; you may not appeal on someone else's behalf.


I am a second-year Ph.D. candidate in Stadius center for dynamical systems, signal processing & data analytics at KU Leuven, advised by Professor Johan Suykens.
I conduct research on basic machine learning at the intersection of kernel methods and deep learning. My scientific interests include unsupervised learning, kernel methods, generative models, optimal transport and optimization. My Ph.D. is generously funded by European Research Council and falls within the scope of E-DUALITY project.
This blog mostly contains research notes made during my Ph.D. journey. High-level ideas, facts, summaries, mind-maps and musings will populate this blog.
Quick Links
- A Survival Guide to PhD — Andrej Karpathy
- Giving an Academic Talk — Jonathan Shewchuk
- Tips for Writing Technical Papers


mundane
`Prev `__
M
`Next `__
--------------
**mundane**: n.
[from SF fandom]
1. A person who is not in science fiction fandom.
2. A person who is not in the computer industry. In this sense, most
often an adjectival modifier as in “in my mundane life....” See also
`*Real World* <../R/Real-World.html>`__, `*muggle* `__.
--------------
+-----------------------------+----------------------------+-------------------------+
| `Prev `__ | `Up <../M.html>`__ | `Next `__ |
+-----------------------------+----------------------------+-------------------------+
| munchkin | `Home <../index.html>`__ | mung |
+-----------------------------+----------------------------+-------------------------+


Apache Hadoop uses a version format of <major>.<minor>.<maintenance>, where each version component is a numeric value. Versions can also have additional suffixes like "-alpha2" or "-beta1", which denote the API compatibility guarantees and quality of the release. We use “a.b.c” and “x.y.z” to denote a dotted version triplet.
Major versions are used to introduce substantial, potentially incompatible, changes. Examples of this include the replacement of MapReduce 1 with YARN and MapReduce 2 in Hadoop 2, and the required Java runtime version from JDK7 to JDK8 in Hadoop 3.
Minor versions are used to introduce new compatible features within a major release line.
Maintenance releases include bug fixes or low-risk supportability changes.
Hadoop’s versioning scheme has evolved over the years. The early days of 0.20.2 leading up to the 1.y releases saw a plethora of parallel releases with different featuresets. Release activities coalesced in the early 2.y release era, with a mostly linear progression of releases from 2.0.0 through 2.7.0.
However, the ongoing maintenance of the 2.6.z and 2.7.z re-introduced parallel active release lines to Hadoop. Additional plans for 2.8.z and 3.0.z releases mean potentially four active release lines, necessitating clarification on Hadoop versioning and how it affects these parallel release branches.
To establish a common foundation of knowledge, we require the following in terms of release versions.
This means that new major releases need to be coordinated with the previous minor release. New minor and maintenance releases only require coordination within their release line.
"-alphaX” and "-betaX” suffixed version can be treated as a.b.c versions, with the first (e.g. "-alpha1") being the a.b.0 release.
When it comes to setting fix versions, this policy is encoded by the following set of rules:
As an example, as of August 3rd, 2016, the latest releases in the 2.6.x and 2.7.x lines are 2.6.4 and 2.7.2. We have also cut the following branches for planned future releases: branch-2.7.3, branch-2.8, and branch-3.0.0-alpha1.
If we are committing a bugfix that is intended for the 2.6.5 release, we would commit to:
Applying the above rules for setting fix versions:
Note that when backporting changes, we always make sure to backport to the next higher release in a release line. For instance, we make sure to backport to branch-2.7 (2.7.4) when backporting to branch-2.7.3 (2.7.3), and to branch-2 (2.9.0) when backporting to branch-2.8 (2.8.0). This preserves the monotonicity of releases.


I was recently asked a question on the Flips GitHub page which I felt warranted a full blog post. It is an interesting problem that I have seen several variations on so I wanted to provide a more detailed model. The largest example of this problem I have seen is at Rocket Technology (formerly Quicken Loans) where they must assign desks to thousands of people across several buildings in downtown Detroit, MI.
You have a set of People that you need to assign desks to. Each person is a part of a Team, and you would rather that people sat with their Team. Each Desk is a part of a Cluster. A Cluster is a group of desks that are next to each other. Each Person is already assigned to a Desk. You want to come up with a seating assignment that maximizes the number of people who are sitting with their team while also minimizing the number of times that people must move from the desk they are sitting at currently.
The Domain
Before we start putting our Mathematical Planning Model together, let’s create simple types to describe our domain. Based on the word description of our problem we already have four types: PersonId
, TeamId
, DeskId
, and ClusterId
. For the sake of simplicity, we are going to model all of these as single-case DUs with an int
as the value.
type TeamId = TeamId of int
type DeskId = DeskId of int
type PersonId = PersonId of int
type ClusterId = ClusterId of int
I don’t have access to the original enquirers data set, so I need to create a synthetic data. I’ll start by creating a new System.Random
and give it an initial seed value of 123
so I can reproduce my results and define the number of teams, persons, clusters, and desks in my problem.
let rng = System.Random 123
let teamCount = 5
let personCount = 22
let clusterCount = 8
let deskCount = 30
Now I’ll create some arrays of my data.
let teamIds =
[|1 .. teamCount|]
|> Array.map TeamId
let personIds =
[|1 .. personCount|]
|> Array.map PersonId
let clusterIds =
[|1 .. clusterCount|]
|> Array.map ClusterId
let deskIds =
[|1 .. deskCount|]
|> Array.map DeskId
I need to separate the people into which team they belong to. F# has a handy function in the Array
module which makes it easy to divide an array into evenly divided chunks called Array.splitInto
. You give the splitInto
function the number of chunks you want, and it evenly divides the input array into that many chunks. Let’s now divide the people into which team they belong to.
let teams =
personIds
|> Array.splitInto teamIds.Length
|> Array.mapi (fun idx personIds ->
let teamId = teamIds[idx]
teamId, personIds
) |> readOnlyDict
I now have a IReadOnlyDictionary<TeamId, array<PersonId>>
which allows me to query which PersonId
belong to a given TeamId
.
I also want to divide the desks into which clusters they belong to. I’ll use the same function as before to evenly divide them.
let clusters =
deskIds
|> Array.splitInto clusterIds.Length
|> Array.mapi (fun idx desks ->
let clusterId = clusterIds[idx % clusterIds.Length]
clusterId, Set desks // Notice I'm creating a Set<DeskId>
) |> readOnlyDict
Now I have a IReadOnlyDictionary<ClusterId, Set<DeskId>>
. I can look up a ClusterId
and get a Set
which contains all the DeskId
that belong to that ClusterId
. Notice, I put the DeskId
into a Set
, not an array
. You will see why that matters later.
Later in my problem I will need to lookup which ClusterId
that a DeskId
belongs to so I go ahead and create an IReadOnlyDictionary<DeskId, ClusterId>
from the same data.
let deskToCluster =
clusters
|> Seq.collect (fun (KeyValue (clusterId, deskIds)) ->
deskIds
|> Seq.map (fun deskId ->
deskId, clusterId))
|> readOnlyDict
Each PersonId
is already assigned to a desk. Since I don’t have access to the real data, I’m just going to assign each PersonId
to a random DeskId
and store that in a array<PersonId * DeskId>
.
let currentPersonDeskAssignment =
let randomDeskOrder =
deskIds
|> Array.sortBy (fun _ -> rng.NextDouble ())
randomDeskOrder[0 .. personIds.Length - 1]
|> Array.zip personIds
The Model
We now have a tiny domain and synthetic data. Let’s being building our model! We start with creating the decision variables which represent assigning a given PersonId
to a particular DeskId
. We will use a Boolean
decision variable. A value of 1
will represent true
. true
means that we do assign a given PersonId
to a given DeskId
. A value of 0
represents false
which means we do NOT assign a PersonId
to a given DeskId
. We store these decision variables in a SMap2<PersonId, DeskId, Decision>
for easy slicing later.
let personDeskAssignment =
DecisionBuilder "PersonAssignment" {
for p in personIds do
for d in deskIds ->
Boolean
} |> SMap2
We now create a decision variable which represents assigning a TeamId
to a ClusterId
. The decision variable will be a Boolean
where 1
means we do assign the TeamId
to the ClusterId
and 0
means we do not. We store these decisions in a SMap2<TeamId, ClusterId, Decision>
.
let teamClusterAssignment =
DecisionBuilder "TeamClusterAssignment" {
for t in teamIds do
for c in clusterIds ->
Boolean
} |> SMap2
Alright, now we can start creating constraints. First thing we need to do is ensure that each PersonId
is assigned to exactly 1
desk.
let eachPersonHasDeskConstraints =
ConstraintBuilder "EachPersonHasDesk" {
for p in personIds ->
sum personDeskAssignment[p, All] == 1.0
}
Notice that the comparison is ==
and not <==
. An ==
means that the sum MUST equal 1.0
. If we had put <==
, that would mean that the sum MAY equal 1.0
but it doesn’t have to. This would allow the optimization to not ensure that everyone has a spot. That’s not what we want though so we use ==
to ensure each PersonId
will have a DeskId
they are assigned to.
Next, we make sure that each DeskId
is only assigned once.
let eachDeskOnlyOnceConstraints =
ConstraintBuilder "EachDeskOnlyOnce" {
for d in deskIds ->
sum personDeskAssignment[All, d] <== 1.0
}
Again, please notice the comparison that is being used here. Now we use <==
instead of ==
. We are saying a DeskId
MAY be assigned up to once, but no more. We are not requiring that each DeskId
have a PersonId
assigned to it. This is an important distinction.
Now we want to make sure that each TeamId
is assigned a ClusterId
.
let eachTeamHasClusterConstraints =
ConstraintBuilder "EachTeamHasCluster" {
for t in teamIds ->
sum teamClusterAssignment[t, All] == 1.0
}
Because we use ==
in the comparison we are ensuring that each TeamId
is assigned a ClusterId
.
We now must ensure that each ClusterId
is assigned only once.
let eachClusterOnlyOnceConstraints =
ConstraintBuilder "EachClusterOnlyOnce" {
for c in clusterIds ->
sum teamClusterAssignment[All, c] <== 1.0
}
We are using <==
which is saying that we may assign each ClusterId
once but we don’t have to.
Team Co-Location
Now we get to the slightly complex part. This is where the original enquirer was stuck, and I completely understand why. Everything up to this point has been straightforward. Now we need to quantify the success of teams sitting together. To do this we are going to use something called Indicator Variables. Indicator Variables are used to indicate whether a certain condition is being met in a model or not. We are doing to use them to model whether a given PersonId
is sitting with their assigned TeamId
.
We will need to create a set of indicator variables for each TeamId
, ClusterId
, and PersonId
combination.
let personCoLocated =
DecisionBuilder "TeamCoLocated" {
for t in teamIds do
for c in clusterIds do
for p in teams[t] ->
Boolean
} |> SMap3
We now have an SMap3<TeamId, ClusterId, PersonId, Decision>
which we will use to model whether a PersonId
is sitting with their TeamId
at a given ClusterId
.
You may have noticed that our assignment decisions were along different dimensions. PersonId
are assigned to DeskId
while TeamId
are assigned to ClusterId
. Now is when we bring together the dimensions of DeskId
and ClusterId
.
We want to maximize the number of times that a PersonId
is assigned to the same ClusterId
as their TeamId
. Our objective function is going to be the sum of the personCoLocated
decisions. To keep the optimizer from just turning all those values to 1.0
though we need to put constraints on them to make sure the necessary conditions are being met.
The first necessary condition is that a PersonId
is assigned to a DeskId
in the given ClusterId
. Let’s code that up.
let personCoLocatedConstraints =
ConstraintBuilder "TeamPersonCoLocated" {
for t in teamIds do
for c in clusterIds do
for p in teams[t] ->
personCoLocated[t, c, p] <== sum personDeskAssignment[p, In clusters[c]]
}
Here we are saying that for the solver to turn a given personLocated
decision to 1.0
, at least one of the personDeskAssignment
variables for the PersonId
must be 1.0
as well. We are calculating that using this expression:
sum personDeskAssignment[p, In clusters[c]]
You’ll see that the filter on the second dimensions is an In
filter. The In
filter takes a Set
as an input which is why we had to store the values in the cluster
collection as a Set<DeskId>
.
Now we need to cover the second condition, the TeamId
must also be assigned to the ClusterId
.
let teamCoLocatedConstraints =
ConstraintBuilder "TeamCoLocated" {
for t in teamIds do
for c in clusterIds do
for p in teams[t] ->
personCoLocated[t, c, p] <== teamClusterAssignment[t, c]
}
Here we are saying that if you want to turn the value of the personCoLocated
decision to 1.0
, you must have assigned the TeamId
to that ClusterId
.
Putting it together
We can now put together all the components of our model. Let’s create the LinearExpression
which is our objective function.
let colocationObjectiveExpr = sum personCoLocated
let coLocationObjective =
Objective.create "MaximizeCoLocation" Maximize colocationObjectiveExpr
We are saying that we want to maximize the number of times that a PersonId
is assigned to the same ClusterId
as the TeamId
they are assigned to.
We have a secondary objective which is to minimize the number of times people are moved from their current seating assignment. To do this we create an expression which is the sum of whether a PersonId
is assigned to the DeskId
they are currently at.
let maxRetentionExpr =
seq {
for (p, d) in currentPersonDeskAssignment ->
1.0 * personDeskAssignment[p, d]
} |> Seq.sum
let maxRetentionObjective =
Objective.create "MaxRetention" Maximize maxRetentionExpr
With our two objectives and various constraints we can compose our full model.
let model =
Model.create coLocationObjective
|> Model.addObjective maxRetentionObjective
|> Model.addConstraints eachPersonHasDeskConstraints
|> Model.addConstraints eachDeskOnlyOnceConstraints
|> Model.addConstraints eachTeamHasClusterConstraints
|> Model.addConstraints eachClusterOnlyOnceConstraints
|> Model.addConstraints personCoLocatedConstraints
|> Model.addConstraints teamCoLocatedConstraints
We aren’t doing anything fancy so we will just use our default settings and attempt to solve.
let settings = Settings.basic
let result = Solver.solve settings model
Now let’s create a simple function to print out the results if we find a solution. This will just extract which assignments the solver is recommending we use and print that out to a simple table in the console.
match result with
| Optimal sln ->
let personDeskAssignmentValues = Solution.getValues sln personDeskAssignment
let selectedDeskAssignments =
personDeskAssignmentValues
|> Map.toSeq
|> Seq.filter (fun (_, value) -> value = 1.0)
|> Seq.map fst
|> readOnlyDict
let teamClusterAssignmentValues = Solution.getValues sln teamClusterAssignment
let selectedTeamClusterAssignment =
teamClusterAssignmentValues
|> Map.toSeq
|> Seq.filter (fun (_, value) -> value = 1.0)
|> Seq.map fst
printfn "Team/Cluster Assignments"
for (teamId, clusterId) in selectedTeamClusterAssignment do
printfn $"{teamId}"
printfn $"{clusterId}"
printfn "=== People ==="
for personId in teams.[teamId] do
let deskId = selectedDeskAssignments[personId]
let clusterId = deskToCluster[deskId]
printfn $"{personId} | {deskId} | {clusterId}"
| _ -> printfn "Uh Oh"
When we run all of this, we get the following result.
Team/Cluster Assignments
TeamId 1
ClusterId 2
=== People ===
PersonId 1 | DeskId 5 | ClusterId 2
PersonId 2 | DeskId 4 | ClusterId 1
PersonId 3 | DeskId 7 | ClusterId 2
PersonId 4 | DeskId 8 | ClusterId 2
PersonId 5 | DeskId 6 | ClusterId 2
TeamId 2
ClusterId 4
=== People ===
PersonId 6 | DeskId 15 | ClusterId 4
PersonId 7 | DeskId 14 | ClusterId 4
PersonId 8 | DeskId 16 | ClusterId 4
PersonId 9 | DeskId 1 | ClusterId 1
PersonId 10 | DeskId 13 | ClusterId 4
TeamId 3
ClusterId 3
=== People ===
PersonId 11 | DeskId 9 | ClusterId 3
PersonId 12 | DeskId 10 | ClusterId 3
PersonId 13 | DeskId 11 | ClusterId 3
PersonId 14 | DeskId 12 | ClusterId 3
TeamId 4
ClusterId 5
=== People ===
PersonId 15 | DeskId 20 | ClusterId 5
PersonId 16 | DeskId 17 | ClusterId 5
PersonId 17 | DeskId 19 | ClusterId 5
PersonId 18 | DeskId 18 | ClusterId 5
TeamId 5
ClusterId 6
=== People ===
PersonId 19 | DeskId 23 | ClusterId 6
PersonId 20 | DeskId 24 | ClusterId 6
PersonId 21 | DeskId 22 | ClusterId 6
PersonId 22 | DeskId 21 | ClusterId 6
You will see that in most cases people are sitting with their teams but in some cases they are not. This is a product of a mismatch between the number of people on each team and the number of desks in each cluster. You can play with this model yourself here. Change the variables and see what results you get!
This was a fun problem to put together and I was grateful for the question. If you have a question about whether Mathematical Planning can help you and your team, please send me an email at<EMAIL_ADDRESS>if you have any questions and subscribe so you can stay on top new posts and products I am offering.


class Tracker
Tracker class to track migrations statuses.
Methods
|
__construct(string $dir, DBInterface $db = null)
Constructor. |
||
|
createTable()
|
||
| array |
getList($db $db = true)
Return the list of registered migratins. |
|
| array |
getDownList()
Return the list of down migrations. |
|
| array |
getUpList()
Return the list of up migrations. |
|
| boolean |
has(string $migration)
Check if a migration is registered. |
|
| string |
getNext()
Return the next migration to be executed. |
|
| string |
getLast()
Return the last executed migration. |
|
|
getUntil($untilMigration)
|
||
| arra |
getRevereMigratedUntil(string $untilMigration)
Get all migrations until a given migration name |
|
|
add(string $migrationName)
Register a migration. |
||
|
remove(string $migrationName)
Remove a migration. |
||
|
unmigrate(string $migrationName)
Mark a migration as unmigrated. |
||
|
migrate(string $migrationName)
Mark a migration as migrated. |
||
| boolean |
isUp(string $migrationName)
Check if a migration was migrated. |
Details
at line 25
public
__construct(string $dir, DBInterface $db = null)
Constructor.
at line 30
public
createTable()
at line 47
public array
getList($db $db = true)
Return the list of registered migratins.
at line 84
public array
getDownList()
Return the list of down migrations.
at line 97
public array
getUpList()
Return the list of up migrations.
at line 111
public boolean
has(string $migration)
Check if a migration is registered.
at line 120
public string
getNext()
Return the next migration to be executed.
at line 132
public string
getLast()
Return the last executed migration.
at line 140
public
getUntil($untilMigration)
at line 157
public arra
getRevereMigratedUntil(string $untilMigration)
Get all migrations until a given migration name
at line 174
public
add(string $migrationName)
Register a migration.
at line 186
public
remove(string $migrationName)
Remove a migration.
at line 196
public
unmigrate(string $migrationName)
Mark a migration as unmigrated.
at line 205
public
migrate(string $migrationName)
Mark a migration as migrated.
at line 215
public boolean
isUp(string $migrationName)
Check if a migration was migrated.


class Wmap::GoogleSearchScraper
We build our own Google search class by querying Google search engine from its web interface, by simulating
an anonymous web surfer. Note: we don't use the native Google API due to its pricing structure - We don't have budget for
this project, and we can not use the free version due to the limitation of 100 queries per day for free. See https://github.com/google/google-api-ruby-client for details.
Constants
- File_keywords
Google search key words
- File_locator
Google search engine web interface locators
Attributes
Public Class Methods
Scraper default variables
# File lib/wmap/google_search_scraper.rb, line 29 def initialize (params = {}) @verbose=params.fetch(:verbose, false) @http_timeout=params.fetch(:http_timeout, 5000) # Discovered data store @discovered_urls_from_scraper=Hash.new @discovered_sites_from_scraper=Hash.new end
Public Instance Methods
Search for nodes by css, and extract the hyper links
# File lib/wmap/google_search_scraper.rb, line 86 def extract_links (doc) begin puts "Extract the meaningful links from the DOC." if @verbose links=Array.new doc.css('a').each do |link| ref=link.attribute('href').to_s if ref =~ /\/url\?/ my_key=ref.sub(/\/url\?q\=/,'') my_site=url_2_site(my_key) links.push(my_key) @discovered_urls_from_scraper[my_key]=true unless @discovered_urls_from_scraper.key?(my_key) @discovered_sites_from_scraper[my_site]=true unless @discovered_sites_from_scraper.key?(my_site) end end return links rescue Exception => ee puts "Exception on method extract_links: #{ee}" if @verbose return nil end end
'getter' for the discovered sites from the Google search
# File lib/wmap/google_search_scraper.rb, line 138 def get_discovered_sites_from_scraper puts "Getter for the discovered sites by the scraper. " if @verbose begin return @discovered_sites_from_scraper.keys.sort rescue => ee puts "Error on method get_discovered_sites_from_scraper: #{ee}" if @verbose end end
'getter' for the discovered urls from the Google search
# File lib/wmap/google_search_scraper.rb, line 149 def get_discovered_urls_from_scraper puts "Getter for the discovered urls by the scraper. " if @verbose begin return @discovered_urls_from_scraper.keys.sort rescue => ee puts "Error on method get_discovered_urls_from_scraper: #{ee}" if @verbose end end
Perform a Google web interface keyword search, return as a Nokogiri::HTML:Document object for the search result page
# File lib/wmap/google_search_scraper.rb, line 74 def google_search (locator,keyword) begin puts "Perform the keyword search on the Google web engine for: #{keyword}" if @verbose link_search = locator + "search?q=" + URI::encode(keyword) doc = Nokogiri::HTML(open(link_search)) return doc rescue Exception => ee puts "Exception on method google_search at Google engine location #{link_search} for the keyword #{keyword} : #{ee}" if @verbose end end
Main worker method to simulate extensive google keyword searches on over 100+ countries and regions. The search will extract known web services related to the keyword by the Google Inc.
# File lib/wmap/google_search_scraper.rb, line 38 def google_worker (keyword) begin puts "Start the Google worker for: #{keyword}" if @verbose links=Array.new keyword=keyword.strip google_locators = file_2_list(File_locator) google_locators.map do |locator| doc=google_search(locator,keyword) unless keyword.nil? links+=extract_links(doc) unless doc.nil? end return links.uniq.sort-["",nil] rescue Exception => ee puts "Exception on the method google_worker for #{keyword}: #{ee}" if @verbose return nil end end
Main method to collect intelligences on the Google vast data warehouse. It works by hitting the Google engines with the keyword list. This exhausive method will sweep through the Google engines in over 100+ countries and regions one by one, in order to collect all related web service links collected by known the Google, Inc. across the global Internet.
# File lib/wmap/google_search_scraper.rb, line 58 def google_workers(keyword_list=file_2_list(File_keywords)) begin puts "Start the Google worker for: #{keyword_list}" if @verbose links=Array.new keyword_list.map do |keyword| links+=google_worker(keyword) end return links.uniq.sort rescue Exception => ee puts "Exception on the method google_workers for #{keyword_list}: #{ee}" if @verbose return nil end end
Method to print out discovery Sites result
# File lib/wmap/google_search_scraper.rb, line 123 def print_discovered_sites_from_scraper puts "Print discovered sites by the scraper. " if @verbose begin puts "\nSummary Report of Discovered Sites from the Scraper:" @discovered_sites_from_scraper.keys.each do |site| puts site end puts "Total<EMAIL_ADDRESS>site(s)" puts "End of the summary" rescue => ee puts "Error on method print_discovered_sites_from_scraper: #{ee}" if @verbose end end
Method to print out discovery URL result
# File lib/wmap/google_search_scraper.rb, line 108 def print_discovered_urls_from_scraper puts "Print discovered urls by the scraper. " if @verbose begin puts "\nSummary Report of Discovered URLs from the Scraper:" @discovered_urls_from_scraper.keys.each do |url| puts url end puts "Total<EMAIL_ADDRESS>url(s)" puts "End of the summary" rescue => ee puts "Error on method print_discovered_urls_from_scraper: #{ee}" if @verbose end end
Save the discovered sites into a local file
# File lib/wmap/google_search_scraper.rb, line 159 def save_discovered_sites_from_scraper (file) puts "Save the discovery result(sites) into a local file: #{file}" if @verbose begin f=File.open(file, 'w') timestamp=Time.now f.puts "# Discovery result written by Wmap::GoogleSearchScraper.save_discovered_sites_from_scraper method at #{timestamp}\n" @discovered_sites_from_scraper.keys.sort.map { |x| f.puts "#{x}\n" } f.close raise "Unknown problem saving the result to file: #{file}" unless File.exist?(file) puts "Done saving the discovery result into the local file: #{file}" rescue => ee puts "Error on method save_discovered_sites_from_scraper: #{ee}" if @verbose end end


Calorie Counter helps you keep track of your caloric intake.
Record your meals.
Set a target daily calorie intake.
Filter your meals by date and by time of day.


{{#markdown}} When you have a page that addresses multiple audiance types or has multiple messages, use an intro unit to set the context.


Standard binary, sort by date - the result can be accepted or not; solutions are sorted by the date of the submission (first submissions are considered to be better)
Standard binary, sort by time - the result can be accepted or not again; solutions are sorted by the time of the execution (programs running faster are considered to be better)
Standard binary, sort by memory - just like before the result can be accepted or not; solutions are sorted by the usage of the memory (programs that use less memory are considered to be better)
Minimum source length - the result is the length of the source code, in bytes (programs with smaller source code are considered to be better)


From business cards, through flyers and brochures to banners and many more... - anything you need to run and promote your business. I will help you grow your
audience and visibility!
 Do you need invitations, matching decoration, or even small gifts for your friends and family?
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Do you need an uncommon poster, postcard, mug or t-shirt for your beloved? Looking for a unique gift? Contact me - I can help! Each item is made with love because I know
how important is for you!
Graphic Designer
As a forward-looking, optimistic and open person, I enjoy creating new things and applying innovative methods in my designs. I believe that each design must make you happy, as well as be unique, elegant, and neat, regardless it is for a business or personal use. I see graphic design along with photography, which is my hobby, as a way of expressing myself and co-creating the world we live in.
At the moment, I am based in Bedford, UK. Yet, I would love to work with and for you, making your unique designs come true, regardless of your location. A bit extra for you from the very beginning – in addition to English, I speak Polish, Serbian and Croatian. I would be more than happy to communicate with you in your favourite language!
If you would like to find out more about me and my work – follow me on social media or check my online shop.


Interested in: ${user.interest}
Age: ${user.age}
Facebook: ${user.userName}'s account
About ${user.userName}: ${user.bio}


Written by Rasmus Lerdorf to replace repetitive coding CGI calls.
Replaced the original parser with the Zend Engine, Zend Engine 2.
"I've never thought of PHP as more than a simple tool to solve problems"
— Rasmus Lerdorf
Inconsistencies in naming functions:
strrev // String Function
str_repeat // String Function
explode // String Function
// At least somewhat consistent
strpos($haystack, $needle)
array_key_exists($needle, $haystack)
Potentially Insecure:
mysql_query("SELECT * FROM `users` WHERE `username` = $_GET['username']");
Bringing a knife to a gun fight is like bringing PHP to a modern web stack.
—@iamdevloper
In general not too bad, but managing dependencies with PEAR is a pain.
Noteworthy tools / libraries:
composer require "vendor/library"
If you can pull it off, you’re badass as hell, but most of the time you’re only going to end up stabbing yourself. - @ohpalmer


Class BaseRegularizer
Regularizers allow to apply penalties on layer parameters or layer activity during optimization. These penalties are incorporated in the loss function that the network optimizes.
The penalties are applied on a per-layer basis.The exact API will depend on the layer, but the layers Dense, Conv1D, Conv2D and Conv3D have a unified API.
Namespace: SiaNet.Regularizers
Assembly: SiaNet.dll
Syntax
public abstract class BaseRegularizer
Constructors
| Improve this Doc View SourceBaseRegularizer(Single, Single)
Initializes a new instance of the BaseRegularizer class.
Declaration
public BaseRegularizer(float l1 = 0.01F, float l2 = 0.01F)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Single | l1 | The l1 value. Default to 0.01 |
| System.Single | l2 | The l2 value. Default to 0.01 |
Properties
| Improve this Doc View SourceName
Gets or sets the name of the regularizer function
Declaration
public string Name { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String | The name. |


{% extends "base.html" %} {% block head_content %} {% endblock %} {% block stylesheet %} {% endblock %} {% block content %} {% for m in get_flashed_messages() %}
{{ m }}
{% endfor %}Pick a plan
Pay a small monthly membership fee.
Borrow money
Borrow money anytime and pay no interest for the first 30 days.
Earn Rewards
Earn points for paying off the loan in time. Redeem those points for cash.
Erica is a single mom to her 2 wonderful daughters 6 and 8 years old. In order to make ends meet, she has to work 2 jobs - as a full-time school teacher and as a part time waitress over weekends. Spending time with her daughters is a luxury that she can barely afford. In 2015 Christmas, like every other parent, she wanted to surprise her babies with gifts. Unfortunately, she didn't have the money. Borrowing from friends or family was not an option. Her only option was Payday Loans. She took out a loan for $275 to buy gifts for her daughters. Being cash strapped, she couldn't pay back the loan in due time and ended up renewing it 5 times, getting slapped on with late charges and additional interests every single time. After 4 long months, she was able to pay back the loan - a total amount of $575 for a loan of only $275. Is that fair we ask?
This is the state of affairs in our society. Honest hard working people with limited resources are being exploited by predatory lending practices. Erica and thousands of others have fallen prey to these Payday loan businesses, designed to profit off of other peoples unfortunate circumstances. We want to provide a cheaper, sustainable and better alternative to short term borrowing needs.
Plan Name |
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Anytime $500 |
Loan Amount |
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Frequency |
3 times/year |
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3 times/year |
Loan duration |
0% APR for 30 days |
0% APR for 30 days |
0% APR for 30 days |
Cost (monthly) |
$10/month |
$18/month |
$35/month |
Rewards |
Earn points for repaying on time and redeem those points for cash. |
Earn points for repaying on time and redeem those points for cash. |
Earn points for repaying on time and redeem those points for cash. |
Can I cancel the service after enrolling?
You can cancel anytime you want, provided you don't owe us any money. There is no penalty.
But since plans are based on yearly contract if you want to re-enroll, you'll need to pay back the monthly membership fees for remainder of your last contract period.
Is there a contract for the plan?
The plans are based on yearly contract but if you don't like the service you can cancel anytime. You need to be at 0 balance in order to cancel the plan. Once you cancel, you'll loose all benefits. In order to join back, you'll need to pay back any missed monthly membership fee for remainder of the contract period.
What are the criterias for membership?
It's simple - we need proof of employment/paychecks. Users will apply for membership on our site. Once we verify their information, we will provide the application approval decison by the end of the day. In some cases, users may be required to provide additional information such as bank statements, proof of identification etc.
When I can get the money?
Members can make a request for money. Based on the plan they subscribe to, we will deposit the money into your bank account the next day.


Legion
Legion lets you easily create or extend web applications with peer-to-peer interactions!
Legion offers:
- Mutable data objects.
- Transparent peer-to-peer synchronization.
- Offline operation.
- Durability on the server.
- No Concurrency-issues!
- Secure data-sharing and access control.
With peer-to-peer enabled, your get lower client-to-client latency, reduced server load and disconnected operation!1
The code to run your own is available on github: https://github.com/albertlinde/Legion
Legion is under continuous development and not production-stable. Work in progress:
- Peer-to-peer coordination (to lower the amount of resources required on the central server).
- Peer-to-peer caching.
- Peer-trust (i.e., preventing cheating).
- Additional overlay choices.
- Additional CRDTs.
Legion is a result from the European project Syncfree. The Legion development team combines researchers from the Informatics Department, FCT, NOVA University of Lisbon and the NOVA LINCS Laboratory in Portugal and researchers from the Technische Universität Kaiserslautern in Germany.
Part of the computing resources used for this work were supported by an AWS in Education Research Grant.
API usage
The following code shows how the Legion framework can be used at the client.
var options = { client_id: randInt(), client_secret: randInt() //ex: username, pwd }; var legion = new Legion(options); //New Legion instance. var groupOptions = { id: "default", secret: "default" //ex: chat rooms with login keys }; legion.joinGroup(groupOptions, function (group) { //joins a group of peers var objectStore = group.getObjectStore(); //object manipulation var messageAPI = group.getMessageAPI(); //message sending (...) });
Data types
The main use of legion is sharing mutable-data between users.
Operations executed on any object are propagated between peers directly when connected, and through the server between network-partitioned peers. Propagation of changes is done always respecting causal order
The available data types are Counters, Sets, Maps, and Lists. These are implemented as Delta-CRDTs3, meaning any concurrency conflicts are automatically resolved!
All data types can be instantiated with legion.DATA_TYPE. All clients connected to the group will replicate this object. Details on restricting creating new objects can be found within the GitHub tutorials.
Counter
Counters are used to share an integer value between users. Counters can be incremented and decremented by any value.
var counter = objectStore.getOrCreate("counterID", legion.Counter); counter.increment(1); //Argument must be >= 1 counter.decrement(1); //Argument must be >= 1 counter.increment(138); //Argument must be >= 1 counter.decrement(138); //Argument must be >= 1 console.log(counter.getValue()); //Returns the current value. counter.setOnStateChange(function (updates, meta) {//called when data is updated console.log(updates); console.log(meta); });
| Counter | Add(1) | Remove(1) | Value |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 |
Set
Sets keep objects only once.
var set = objectStore.getOrCreate("setID", legion.Set); set.add(element); //Ads if not existing. set.remove(element); //Removes if exists. console.log(set.asArray()); //Array of elements console.log(set.contains(element)); //Boolean console.log(set.size()); //Number set.setOnStateChange(function (updates, meta) {//called when data is updated console.log(updates); console.log(meta); });
| Set | Add(element) | Remove(element) | Elements |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 |
Set 1 Elements
Set 2 Elements
Set 3 Elements
Map
Maps keep key-value pairs.
var map = objectStore.get("mapID", legion.Map); map.set(key, value); //Adds a key-value pair map.get(key); //Returns value for given key. map.delete(key); //Deletes the key-value pair. console.log(map.asArray()); //Array of pairs console.log(map.keys()); //Array console.log(map.values()); //Array console.log(map.contains(element)); //Boolean console.log(map.size()); //Number map.setOnStateChange(function (updates, meta) {//called when data is updated console.log(updates); console.log(meta); });
| Map | Set(key, value) | Delete(key) | # Keys |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 |
Map 1 Elements
Map 2 Elements
Map 3 Elements
List
Lists keep a ordered list of elements.
var list = objectStore.get("listID", legion.List); list.add(pos, element); //Adds an element to given position list.delete(pos); //Removes current element at given position list.get(pos) //Returns the element at given position console.log(list.asArray()); //Array of elements console.log(list.size()); //Number list.setOnStateChange(function (updates, meta) {//called when data is updated console.log(updates); console.log(meta); });
Input
| List | Add(pos, value) | Remove(pos) | Length |
|---|---|---|---|
| List 1 | |||
| List 2 | |||
| List 3 |
List 1 Elements
List 2 Elements
List 3 Elements
Messaging
Besides sharing objects, legion can also be used to send messages directly to the group.
Currently supported primitives are broadcast and unicast.
messageAPI.setHandlerFor(String, Function(arg)); messageAPI.broadcast(String, *); //JSON.stringify(*) must parse. //example: messageAPI.setHandlerFor("Message", function(message){ //use messsage.data }); messageAPI.broadcast("Message", {value: "Hi.", from:"Albert"});
Messaging example
References
1 Legion White Paper: PDF
2 Legion WWW'17 Conference Paper: [PDF] [ACM] [Bib]
3 Delta CRDTs: [PDF] [ACM] [Bib]
Copyright Notice: The reports contained in this page are included by the contributing authors as a mechanism to ensure timely dissemination of scholarly/technical information on a non-commercial basis. Copyright and all rights therein are maintained by the authors, despite the fact they have offered this information electronically. It is understood that all individuals copying this information will adhere to the terms/ constraints invoked by each author's copyright. Reports may not be copied for commercial redistribution, republication, or dissemination without the explicit permission of the authors.
Contact
Webpage: Albert van der Linde


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Current news
- 27 December 2005,
Final Expat 2.0 pre-release snapshot made available.
-
This
pre-release distribution is based on the feedback we got from the
Dec. 23 snapshot and represents the final opportunity for
feedback before the actual release goes out.
We plan to release after the New Year.
- 23 December 2005,
Expat 2.0 pre-release snapshot (another one) made available.
-
As nothing happened here for a long time, we've posted another
pre-release
distribution snapshot of the code currently in CVS on
libexpat.org. Please try this out and report any problems you
have. We'd like to get Expat 2.0 out soon.
A late addition was the new (optional) XML_LARGE_SIZE
feature to enable 64-bit integers on some API members. Please check
how it builds and works for you.
- 28 January 2005,
Expat pre-release snapshot made available.
-
We've posted a pre-release
distribution snapshot of the code currently in CVS on
libexpat.org. Please try this out and report any problems you
have. We'd like to get a release out soon.
The coming release will either be 1.95.9 or 2.0, depending
primarily on the response to this snapshot. If we do decide to
make this 1.95.9, then we'll try to follow up with 2.0 in about a
month.
- 23 July 2004,
Expat 1.95.8 released.
-
The release schedule described in the previous news item didn't
work out. As a compensation, we've fixed a number of the
nuissance warnings generated on many platforms, and added a nice
new suspend/resume feature to the parser.
- Major new feature: suspend/resume. Handlers can now request
that a parse be suspended for later resumption or aborted
altogether. See "Temporarily Stopping Parsing" in the
documentation for more details.
- Some mostly minor bug fixes, but compilation should no
longer generate warnings on most platforms. SF issues
include: 827319, 840173, 846309, 888329, 896188, 923913,
928113, 961698, 985192.
- 20 October 2003,
Expat 1.95.7 released.
-
- Fixed
enum XML_Status issue (reported on
SourceForge many times), so compilers that are properly
picky will be happy.
- Introduced an
XMLCALL macro to control the
calling convention used by the Expat API; this macro should
be used to annotate prototypes and definitions of callback
implementations in code compiled with a calling convention
other than the default convention for the host
platform.
- Improved ability to build without the
configure-generated expat_config.h header. This is
useful for applications which embed Expat rather than
linking in the library.
- Fixed a variety of bugs: see SF issues 458907, 609603,
676844, 679754, 692878, 692964, 695401, 699323, 699487,
820946.
- Improved hash table lookups.
- Added more regression tests and improved documentation.
Our plan is to wait for a short while and re-release this
version as the long-awaited Expat 2.0 if no major problems are
identified. If significant problems are found, additional
iterative releases will be made as fixes are made.
- 15 October 2003,
Upcoming release.
-
We're working on getting the long-delayed Expat 1.95.7 out the
door. A snapshot of the current source code is available as
expat-2003-10-15.tar.gz (no longer available);
please give this a try on your platform and report how it works
for you to the expat-discuss mailing list. Our goals for this release are
portability and stability.
- 28 January 2003,
Expat 1.95.6 released.
-
- Added
XML_FreeContentModel() .
- Added
XML_MemMalloc() ,
XML_MemRealloc() ,
XML_MemFree() .
- Fixed a variety of bugs: see SF issues 615606, 616863,
618199, 653180, 673791.
- Enhanced the regression test suite.
- Man page improvements: includes SF issue 632146.
- 6 September 2002,
Expat 1.95.5 released.
-
- Added
XML_UseForeignDTD() for improved SAX2
support.
- Added
XML_GetFeatureList() .
- Defined
XML_Bool type and the values
XML_TRUE and XML_FALSE .
- Use an incomplete struct instead of a
void*
for the parser.
- Fixed UTF-8 decoding bug that caused legal UTF-8 to be
rejected.
- Finally fixed bug where default handler would report DTD
events that were already handled by another handler.
Initial patch contributed by Darryl Miles.
- Removed unnecessary
DllMain() function that
caused static linking into a DLL to be difficult.
- Added VC++ projects for building static libraries.
- Reduced line-length for all source code and headers to be
no longer than 80 characters, to help with AS/400
support.
- Reduced memory copying during parsing (SF patch #600964).
- Fixed a variety of bugs: see SF issues 580793, 434664,
483514, 580503, 581069, 584041, 584183, 584832, 585537,
596555, 596678, 598352, 598944, 599715, 600479, 600971.
- 4 September 2002,
Development roadmap published.
-
- The initial version of the development roadmap was released
for comment.
- 12 July 2002,
Expat 1.95.4 released.
-
- Added support for VMS, contributed by Craig Berry. See
vms/README.vms in the distrubution for more information.
- Added Mac OS (classic) support, with a makefile for MPW,
contributed by Thomas Wegner and Daryle Walker.
- Added Borland C++ Builder 5 / BCC 5.5 support, contributed
by Patrick McConnell (SF patch #538032).
- Fixed a variety of bugs: see SF issues 441449, 563184,
564342, 566334, 566901, 569461, 570263, 575168, 579196.
- Made skippedEntityHandler conform to SAX2 (see source
comment).
- Re-implemented WFC: Entity Declared from XML 1.0 spec and
added a new error "entity declared in parameter entity":
see SF bug report 569461 and SF patch 578161.
- Re-implemented section 5.1 from XML 1.0 spec:
see SF bug report 570263 and SF patch 578161.
Expat 1.95.3 is being withdrawn due to bug #566334. If you are currently using Expat 1.95.3, please
update to 1.95.4.
- 3 June 2002,
Expat 1.95.3 released.
-
- Changed the name of the Windows DLLs from expat.dll to
libexpat.dll; this fixes SF bug #432456. This is a problem
only known to affect the Perl XML::Parser::Expat extension,
but is very important for that extension.
- Added a project to the MSVC workspace to create a wchar_t
version of the library; the DLLs are named libexpatw.dll.
(Note the addition of the "w" character in the file name.)
- Added the XML_ParserReset() API function. This allows a
parser to be re-used, reducing the number of memory
allocations needed to set up a parser. This can be a
substantial benefit when parsing a large number of small
documents.
- Fixed XML_SetReturnNSTriplet() to work for element names.
This is now a usable feature.
- Made the XML_UNICODE builds usable (thanks, Karl!).
- Allow xmlwf to read from standard input.
- Install a man page for xmlwf on Unix systems.
- Fixed many bugs; see SF bug reports 231864, 461380, 464837,
466885, 469226, 477667, 484419, 487840, 494749, 496505,
547350. Other bugs which we can't test as easily may also
have been fixed, especially in the area of build support.
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