Next: How to use the valuator, Previous: Value methods, Up: Value methods [Contents][Index]
The archetypal application needs
a value object (or
valuator) to produce
the value of the parse tree.
To create a valuator, use the
marpa_v_new()
method.
The application is required to maintain the stack,
and the application is also required to implement
most of the semantics, including the evaluation
of rules.
Libmarpa’s valuator provides instructions to
the application on how to manipulate the stack.
To iterate through this series of instructions,
use the
marpa_v_step()
method.
When successful, marpa_v_step()
returns the type
of step.
Most step types have values associated with them.
See Basic step accessors,
see How to use the valuator, and
see Stepping through the valuator.
When a valuator is no longer in use, its memory can be freed
using the
marpa_v_unref()
method.


Game Events’s service documentation¶
REST API¶
-
GET
/v1/sessions
¶ Admin only. Requests a list of all active sessions.
Request Headers: - X-AUTH-TOKEN – A valid admin token obtained from
GET /token
Status Codes: - 200 OK – Successful request
- 400 Bad Request – Missing headers or parameters
- 401 Unauthorized – Token not authorized to read all sessions
Response Headers: - Content-Type – application/json
- X-Total-Count – Total number of results
Response JSON Array of Objects: - id (string) – Sessionid
- created (string) – Timestamp of when the session was added to the local db
- _links (string) – Links to the resource and related entities (if any)
- X-AUTH-TOKEN – A valid admin token obtained from
-
GET
/v1/version
¶ Returns the current version of the API.
-
POST
/v1/clients
¶ Admin only. Adds a new client.
Request Headers: - X-AUTH-TOKEN – A valid admin token obtained from
GET /token
Request JSON Object: - clientid (string) – human-readable id of the client to be created
- api (string) – Plaintext version of the apikey
- role (string) – Optional role (admin/normal). If not informed, a normal client will be created
Status Codes: - 201 Created – Client created successfully
- 400 Bad Request – Not JSON object or missing parameters
- 401 Unauthorized – Token not authorized
Response Headers: - Content-Type – application/json
- X-Total-Count – the total number of results created
Response JSON Array of Objects: - id (string) – Internal id of the created client
- clientid (string) – Human-readable id of the client
- role (string) – Role of the created client
- _links (string) – Link to the resource and related entities (if any)
- X-AUTH-TOKEN – A valid admin token obtained from
-
POST
/v1/token
¶ Returns an authentication token to interact with the service. A non-admin client needs to provide a valid sessionid to get a token. An admin client can request a token without a valid “sessionid” and will be given access to all running sessions.
Request JSON Object: - clientid (string) – human-readable id of the client
- apikey (string) – client’s apikey
- sessionid (string) – UUID of the session. Optional for admins
Status Codes: - 200 OK – Successful request, returns the token
- 400 Bad Request – Not JSON object or missing parameters
- 401 Unauthorized – Wrong credentials
-
POST
/v1/sessions/
(sessionid)/events
¶ Submits a new event related to the given sessionid. Client must be authorized to write to the session.
Parameters: - sessionid (string) –
Request Headers: - X-AUTH-TOKEN – A valid token obtained from
GET /token
Request JSON Array of Objects: - events (string) – list of JSON game events
Status Codes: - 201 Created – Event created successfully
- 400 Bad Request – Not JSON object or missing parameters
- 401 Unauthorized – Token not authorized to write to session
- 404 Not Found – Sessionid not found
Response Headers: - Content-Type – application/json
- X-Total-Count – the total number of results created
Response JSON Array of Objects: - id (string) – Internal id of the created client
- gameevent (string) – JSON representation of the event
- _links (string) – Link to the resource and related entities (if any)
-
GET
/v1/sessions/
(sessionid)/events
¶ Lists all game events associated to a gaming session. The user must be authorized to read the session.
Parameters: - sessionid (string) –
Request Headers: - X-AUTH-TOKEN – A valid token obtained from
GET /token
Status Codes: - 200 OK – Successful request, returns the events
- 401 Unauthorized – Token not authorized to read session
- 404 Not Found – Sessionid not found
Response Headers: - Content-Type – application/json
- X-Total-Count – the total number of results
Response JSON Array of Objects: - link (string) – Link to the resource
- gameevent (string) – JSON representation of the event
Example response:
HTTP/1.0 200 OK Content-Type: application/json Content-Length: 227 X-Total-Count: 1 Server: Werkzeug/0.10.4 Python/3.4.3 Date: Tue, 01 Dec 2015 16:34:23 GMT [ { "gameevent": { "which_lix": "", "action": "STARTGAME", "timestamp": "2015-11-29T12:10:57Z" }, "id": "f9a32e2f23b19d029b8faf0348a02de9", "_links": [ { "rel": "self", "href": "/v1/sessions/6042b89fcf45c4babd3e0f621713d199/events/f9a32e2f23b19d029b8faf0348a02de9" }, { "rel": "session", "href": "/v1/sessions/6042b89fcf45c4babd3e0f621713d199" } ] } ]
Components¶
Gameevents App¶
Main module for starting the gameevents service. Imports required modules from Flask (including DB and auth modules, and sets up logging.
Controller¶
Controller of the application, which defines the behaviour of the application when called by the views. The views should not call the models directly, but always pass the calls through the controller.
-
gameevents_app.controller.
client_authenticate
(clientid, apikey, sessionid)¶ Tries to authenticate a client by checking a clientid/apikey pair. If successful, returns an authentication token.
Parameters: - clientid –
- apikey –
- sessionid –
Return type: str
Returns: Authentication token with default expiration time
-
gameevents_app.controller.
get_client
(clientid)¶ Auxiliary function for the view, to retrieve a Client object from a clientid.
Parameters: clientid – human-readable id of the client. Return type: gameevents_app.models.session.Client
-
gameevents_app.controller.
get_gameevents
(token, sessionid)¶ Retrieves existing game events related to a given sessionid. The sessionid is extracted from the token. If the token is admin, then a sessionid needs to be informed to retrieve the game events related to that sessionid.
Parameters: - token – authentication token
- sessionid – Optional parameter in case the token is an admin token.
-
gameevents_app.controller.
get_sessions
()¶ Returns list of existing sessions in the gameevents database.
Return type: gameevents_app.models.session.Session
-
gameevents_app.controller.
is_json
(incoming)¶ Checks if a given input is a list/dict or a string that could be interpreted as valid JSON.
Parameters: incoming – The object to be checked Return type: boolean
Checks if the client is authorized to interact with this sessionid.
TODO: Implement this function to check using timestamp and/or with user profile service if the pair is valid.
Parameters: - sessionid –
- client_id –
-
gameevents_app.controller.
is_uuid_valid
(incoming)¶ Validates that a UUID string is in fact a valid uuid.
Parameters: incoming – The string to be checked Return type: boolean
-
gameevents_app.controller.
new_client
(clientid, apikey, role='normal')¶ Adds new client to the database. A client is an application wishing to interact with the gameevents service.
TODO: Protect this function so that only admins have access.
Parameters: - clientid – human-readable name of the client
- apikey – apikey (password) to authenticate the client
- role – optional role of the client (admin/normal). Normal clients are able to read/write only one sessionid. Admin clients can read many sessions.
-
gameevents_app.controller.
new_session
(sessionid, client_id)¶ Creates a new session in the local database.
Parameters: - sessionid – the desired sessionid, as informed by the client.
- client_id – the internal client_id to be associated with the session.
Return type:
-
gameevents_app.controller.
record_gameevent
(sessionid, token, events)¶ Checks if the token is valid and records the game event(s) in the database.
Parameters: - sessionid – Sessionid to which the gameevent is related
- token – the token used to authenticate the request
- events – JSON representation of the event
Returns: Number of events inserted successfully in the database.
Return type: int
-
gameevents_app.controller.
token_authenticate
(token)¶ Tries to authenticate a client checking the token.
Parameters: token – The token to be checked Raises: AuthenticationFailed if client does not exist or if token is not valid/has expired. Returns: the client that has been authenticated Return type: gameevents_app.models.session.Client
Models¶
Client¶
-
class
gameevents_app.models.client.
Client
(clientid, apikey, role)¶ Model “clients” table in the database. Each game/application using the service (i.e. a client) must have an entry in this table to be able to request an authentication token. Initialization generates the internal ID and stores apikey hashed.
Parameters: - clientid (str) – human readable identifier of the client application
- apikey (str) – desired apikey
- role (str) – admin/normal
-
as_dict
()¶ Represents client as dictionary.
Return type: dict
-
as_hateoas
()¶ Returns dict representation of the session that follows hateoas representation.
-
generate_auth_token
(sessionid=False, expiration=600)¶ Generates an authentication token, which contains client data and the sessionid. A token with no associated sessionid is only allowed to admins.
Parameters: - sessionid – Optional sessionid to be included in the token
- expiration – Optional custom expiration time for token, in seconds
-
is_admin
()¶ Checks if the client is admin.
Return type: boolean
Checks if the client is authorized to access this sessionid.
TODO: Check authorized sessions in UserProfile service.
Parameters: sessionid – Sessionid to be checked Return type: boolean
-
verify_apikey
(apikey)¶ Checks if the provided apikey matches the client’s stored apikey hashed.
Parameters: apikey – Apikey to be verified against the client’s Return type: boolean
-
static
verify_auth_token
(token)¶ Receives a token and returns the data stored in the token (id, clientid, sessionid).
Parameters: token – The token to be verified Return type: dict Raise: AuthenticationFailed
when the token is invalid or has expired.
-
apikey_hash
¶ (str) hashed apikey
-
clientid
¶ human readable identifier of the client application
-
id
¶ (uuid) internal ID of the client
-
role
¶ (str) admin/normal
-
sessions
¶ (relationship) back reference to list the sessions connected to this client
Sessions¶
-
class
gameevents_app.models.session.
Session
(sessionid, client_id)¶ Models ‘session’ table in the database.
Parameters: - sessionid – uuid coming from the userprofile service
- client_id – internal id of the client to which this session belongs.
-
as_dict
()¶ Returns a dictionary version of the session.
Return type: dict
-
as_hateoas
()¶ Returns dict representation of the session that follows hateoas representation.
-
client_id
¶ Foreign key to client table (internal id of the client)
-
gameevents
¶ relationship to gameevents under this session
-
id
¶ (uuid) ID of the session
-
timestamp
¶ (datetime) when the session was registered internally (to manage expiration times)
Game Events¶
-
class
gameevents_app.models.gameevent.
GameEvent
(sessionid, gameevent)¶ Models ‘gameevent’ table in the database.
Parameters: - sessionid (str) – sessionid to which the gameevent belongs
- gameevent (str) – JSON formatted gameevent, serialized as string
-
as_dict
()¶ Returns dictionary version of game event. The gameevent itself, stored in the database as serialized dictionary, is expanded in the dictionary as well.
Return type: dict
-
as_hateoas
()¶ Returns dict representation of the game event that follows hateoas representation.
Return type: dict
-
gameevent
¶ long text, formatted as JSON (or serialized dict)
-
id
¶ (uuid) internal ID of the event
-
session_id
¶ (uuid) foreign key to Session table
Errors¶
Creates a few custom exceptions used throughout the application.
-
exception
gameevents_app.errors.
ClientExistsException
(value)¶ Client already exists in database.
-
exception
gameevents_app.errors.
InvalidGamingSessionException
(value)¶ Session is invalid or does not exist.
-
exception
gameevents_app.errors.
MissingHeadersException
(value)¶ Request is incomplete, with missing headers.
-
exception
gameevents_app.errors.
SessionNotAuthorizedException
(value)¶ Client is not authorized to access this session.
-
exception
gameevents_app.errors.
TokenExpiredException
(value)¶ The token has expired.


No matter what, it is important to do your best to the end. Always think of teamwork with an open attitude, and fulfill the responsibilities given to the end with an attitude of consideration for others.
1+1 may be 2 or more. Teamwork is very important for all members to harmonize and cooperate to lead the best performance through convergence of knowledge and technology and smooth communication.
Success is not just the result, but if you can learn something in the process of solving problems with passion and a spirit of challenge without giving up in the middle, it can be said that it is true success.
I created a simple onlyfans site using Django. During the deployment process, it was containerized through Docker. I linked the NGINX server and Django application server through Docker Compose. I created AWS resources using Terraform. Build automation was done through the linkage between Docker Hub and GitHub. I plan to automate deployment by running Jenkins containers on the server.
With the motif of the movie Avatar's Pandora planet, I made an advertisement page for a travel agency that manages space travel. The background was created to animate according to the movement of the scroll by referring to the interactive technique applied to the product advertisement page of Apple.
Using the GNS3 program, several topologies at the switch layer were virtually configured
Routing is the process of selecting an optimal path when transmitting communication data within a network. Here are several topologies to routing were virtually configured in GNS3.
CCNA (Cisco Certified Network Associate) is an Information Technology certification from Cisco Systems. CCNA certification is an associate-level Cisco Career certification. The Cisco exams have changed several times in response to the changing IT trends. In 2020, Cisco announced an update to its certification program that "Consolidated and updated associate level training and certification.
VIEW CIRTIFICATIONThe AWS Certified Solutions Architect - Associate examination is intended for individuals who perform a solutions architect role and have one or more years of hands-on experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS.
VIEW CIRTIFICATIONThere is a limit to recruiting new personnel whenever new skills are needed. This means that the entire organization should strengthen IT technology by educating internal personnel. Accordingly, I will always try to learn new concepts and techniques.


{% load widget_tweaks %} {% load i18n %} {% block content %}
{% trans "Standard disaggregations are entered by the administrator for the entire organizations. If you are not seeing any here, please contact your system administrator." %}


Google Doodle lets you play traditional Mexican card game ‘Lotería’
by Kyle BradshawYou’re reading 9to5Google — experts who break news about Google and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Google on Twitter, Facebook, and LinkedIn to stay in the loop. Don’t know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel


--- layout: post title: Windows Azure, Remote PowerShell and the Case of the Unknown Certificate Authority date: 2013-04-30 05:00:00.000000000 -04:00 type: post published: true status: publish categories: - Administration - Azure - DevOps - PowerShell - Windows Server tags: - Errors - Remote PowerShell - Windows Azure meta: _publicize_pending: '1' dsq_thread_id: '1387336527' _edit_last: '1' _jetpack_related_posts_cache: a:1:{s:32:"8f6677c9d6b0f903e98ad32ec61f8deb";a:2:{s:7:"expires";i:1457898078;s:7:"payload";a:3:{i:0;a:1:{s:2:"id";i:248;}i:1;a:1:{s:2:"id";i:691;}i:2;a:1:{s:2:"id";i:1181;}}}} author: login: adminian email<EMAIL_ADDRESS>display_name: adminian first_name: '' last_name: '' ---
Recently the folks over on the Azure team released a bunch of improvements to Azure. One of them caught my eye. They’ve provided us a way to enable PowerShell remoting when provisioning a machine. As someone who tries to automate all things I was extremely happy to see this. Gone are the days or creating images with startup scripts set, but there is a problem…
After you provision a machine with the above check box checked. You’ll probably try something like this…
And then you’ll see the following exception:
Enter-PSSession : Connecting to remote server psremoter.cloudapp.net failed with the following error message : The server certificate on the destination computer
(psremoter.cloudapp.net:5074) has the following errors:
The SSL certificate is signed by an unknown certificate authority. For more information, see the about_Remote_Troubleshooting Help topic.
At line:11 char:1
+ Enter-PSSession -ComputerName psremoter.cloudapp.net -Port 5074 -Credential $cre ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ CategoryInfo : InvalidArgument: (psremoter.cloudapp.net:String) [Enter-PSSession], PSRemotingTransportException
+ FullyQualifiedErrorId : CreateRemoteRunspaceFailed
Let’s take a step back and look at what I’m talking about. When you enable this feature, PSRemoting is configured for SSL and uses a self signed certificate. This certificate needs to be added to your root certificate store so that you can access the machine. Let’s do this…
This script creates a ServicePoint to get the certificate. Then adds it to your trusted store. Now your free to “Enter-PSSesion” or “Invoke-Command” all you’d like!


Welcome to nice_scheme_plotter’s documentation!¶
-
class
database_reader.
Level
(energy, spinValue=None, parity=None, lifetime=None)¶ This is class for excited nuclear levels, which contains all information about level itself and its plotting style.
Parameters: - energy : float
Excited level energy.
- spinValue : str
Spin value as a string ‘1/2’, ‘5/2’, etc.
- parity : str {‘+’, ‘-‘, ‘’} or None
Level parity.
- lifetime : float
Excited level lifetime.
Attributes: - energy : float
Excited level energy
- spinValue : str
Excited level spin, represented by a string. Example: ‘1/2’, ‘5/2’, etc.
- parity : str {‘-‘, ‘+’, ‘’}
Excited level parity.
- level_linewidth: float
Level linewidth on the plot, default value is 0.5
- color : str {‘black’, ‘red’, ‘green’, etc.} or RGB code
Level line color. Default value is ‘black’.
- linestyle : str {‘solid’, ‘dashed’}
Level linestyle.
- lifetime : float
Level lifetime.
Methods
highlight(linewidth=4, color=’red’) Changes instance’s linewidth and color attributes.
-
class
database_reader.
Transition
(gammaEnergy, from_lvl, to_lvl, gammaEnergy_err=None, intensity=None, instensity_err=None)¶ - This is class for transitions of the nuclear states with emission of a gamma ray. The class instance contains all
- information about transition itself and its plotting style.
Parameters: - gammaEnergy : float
Excited level energy.
- from_lvl : float
Energy of the state in which the nuclei was before gamma transition.
- to_lvl : float
Energy of the state in which the nuclei was after gamma transition.
- gammaEnergy_err : float
Excited level energy error value (default value is None).
- intensity : float
Intensity of the transition (default value is None).
- intensity_err : float
Energy of the level in which the nuclei was before gamma transition (default value is None).
Attributes: - gammaEnergy : float
- from_lvl : float
- to_lvl : float
- gammaEnergy_err : float
- intensity : float
- instensity_err : float
- transition_linewidth: float
Transition linewidth on the plot, default value is 0.001. Be careful, there is different scale of width in use, in comparison to class Level.
- color : str {‘black’, ‘red’, ‘green’, etc.} or RGB code
Level line color. Default value is ‘black’.
- linestyle : str {‘solid’, ‘dashed’}
Level linestyle.
- lifetime : float
Methods
transitionDescription
()Returns transition description as a string. -
transitionDescription
()¶ Returns transition description as a string.
Returns: str ‘E (dE) I (dI)’
-
class
database_reader.
Database_csv
(lvlFileName, transitionsFileName)¶ Create database from csv file.
Parameters: - lvlFileName : str
File which contains lvls description.
- transitionsFileName : str
File which contains transitions description.
Attributes: - levels : pandas.DataFrame
Contains levels information.
- transitions : pandas.DataFrame
Contains transitions information.
Methods
levelsPackage
()Creates dictionary of Level_objects transitionsPackage
()Creates dictionary of Transition_objects slice -
levelsPackage
()¶ Creates dictionary of Level_objects
Returns: dictionary of Level_objects with keys equal to energy {‘energy’ : Level_object }
-
transitionsPackage
()¶ Creates dictionary of Transition_objects
Returns: dictionary of Transition objects with keys equal to the transition’s energy {‘energy’ : Transition_object }
-
class
database_reader.
Database_xlsx
(databaseFileName)¶ Create database from xlsx file. This classs inherited methods from Database_csv class.
Parameters: - databaseFileName : str
File which contains lvls description.
Attributes: - levels : pandas.DataFrame
Contains levels information.
- transitions : pandas.DataFrame
Contains transitions information.
Methods
levelsPackage
()Creates dictionary of Level_objects transitionsPackage
()Creates dictionary of Transition_objects slice
-
class
nice_scheme_plotter.
Scheme
(**kwargs)¶ Creates scheme object with various methods for plotting gamma transitions scheme of the excited nuclei.
…
Attributes: - figureWidth : float
Class attribute. Output scheme window/canvas width.
- figureLength : float
Class attribute. Output scheme window/canvas length.
- dpi : int
Class attribute. Output scheme window/canvas dpi factor.
- fontSize : int
Class attribute. Level labels font size.
- transition_fontSize : int
Class attribute. Transitions labels font size.
- spinAnnotationWidthFactor : float
Class attribute. Part of scheme plot width which will be taken by left sided annotation (spin and parity part).
- energyAnnotationWidthFactor : float
Class attribute. Part of scheme plot width which will be taken by right sided annotation (level energy).
- spinAnnotationSlopeFactor : float
Class attribute. Part of scheme plot width which will be taken for slope on the left side, when annotation and level line splitting is needed (this is needed when bunch of levels is closer to each other than annotation height.
- energyAnnotationSlopeFactor : float
Class attribute. Part of scheme plot width which will be taken for slope on the right side, when annotation and level line splitting is needed (this is needed when bunch of levels is closer to each other than annotation height.
- transtitionsSpacingFactor : float
Class attribute. Part of scheme plot width which will be taken as gap between transition arrows.
Methods
addLevel
(Level_object)Plots level on the scheme. addLevelsPackage
(levelsPackage)Plots all levels from the levels package (see more about levelsPackage). addNucleiName
([nucleiName])Adds nuclei name to the decay scheme. addTransition
(Transition_object)Plots transition on the scheme. addTransitionsPackage
(transitionsPackage)Plots all transition from the transitions package (see more about transitionsPackage). enableLatex
()Enables LaTeX rendering for all strings in the scheme plot. save
([fileName])Saves plot to the file. show
()Shows resulting scheme. -
addLevel
(Level_object)¶ Plots level on the scheme.
Param: Level_object
-
addLevelsPackage
(levelsPackage)¶ Plots all levels from the levels package (see more about levelsPackage).
Param: levelsPackage
-
addNucleiName
(nucleiName='$^{63}$Ni')¶ Adds nuclei name to the decay scheme.
Param: nucleiName : str (best option is to use LaTeX typing method. Example: nucleiName=r’$^{63}$Ni’)
-
addTransition
(Transition_object)¶ Plots transition on the scheme.
Param: Transition_object
-
addTransitionsPackage
(transitionsPackage)¶ Plots all transition from the transitions package (see more about transitionsPackage).
Param: transitionsPackage
-
enableLatex
()¶ Enables LaTeX rendering for all strings in the scheme plot. (!) This function has to be called before Scheme_object.addLevel(), Scheme_object.addLevelsPackage() methods (and analogously for add-transitions).
-
save
(fileName=None)¶ Saves plot to the file. :param: fileName: filename. It is recommended to use .svg extension, for example fileName=’my_scheme.svg’. It is also allowed to not pass any file name (especially if there will be more than one Scheme_object plots saved during code operation. The Scheme class will enumerate all of it’s instances, and later save them to different files. Example:
>>> s1 = Scheme() >>> s2 = Scheme() >>> s3 = Scheme() >>> ... >>> s1.save() >>> s2.save() >>> s3.save()
In the result three files will be created:
scheme_part_1.svg
,scheme_part_2.svg
andscheme_part_3.svg
. It is useful when scheme splitting for many pages is needed.
-
show
()¶ Shows resulting scheme.


Set breakpoint in file. Line number get from parameters. If filePath does not provide in parameters - set breakpoint in current opened editor. Support lambda and line breakpoint types. Line is a default type.


The tool is intended to be used with the fav-progress-icon JS library but feel free to use the icons for anything.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Dietary
Readymade puff pastry is so easy to use and makes a light bite of tomatoes and salad into something rather tasty. This is designed to be a low cost recipe.
If you don’t have an ovenproof frying pan then use a tart tin, baking tray with sides or cake tin (without a loose bottom) instead.
Preheat the oven to 200C/400F/Gas 6.
Add a tablespoon of olive oil to a large (about 25cm/10in wide) ovenproof frying pan. Sprinkle the sugar in an even layer over the base. Arrange the tomatoes cut-side down tightly into the pan. Season well with salt and pepper and scatter over the mixed dried herbs. Cook over a medium heat for 10 minutes, or until the tomatoes are beginning to caramelise and colour on their cut sides and soften slightly around the edges. Remove from the heat.
Cut the pastry into a circle 3cm/1½in bigger than the top of the pan.
Place the puff pastry over the tomatoes, tucking it around the tomatoes and down the sides of the pan so that the tomatoes are encased. Brush the top of the pastry with the beaten egg.
Bake in the preheated oven for 20 minutes, or until the puff pastry is puffed up and golden-brown.
Meanwhile, make the dressing for the lettuce. Whisk the vinegar, mustard and a pinch of salt and pepper together in a bowl. Slowly add four tablespoons of the oil, whisking as you go until it’s all incorporated. Taste and add salt and pepper as required.
Remove the tart from the oven and set aside for a few minutes. Then pour any excess liquid away, if there is any, and put a large plate upside down over the top of the frying pan. Using oven gloves, press the plate down hard and then quickly flip the whole thing over so that the plate is on the bottom and the frying pan on the top.
Place the plate on a counter and remove the frying pan. Dress the torn lettuce with the vinaigrette. Serve the tart in slices warm or cold, with the salad alongside.


Creating Xen block devices with MirageOS
MirageOS is a unikernel or “library operating system” that allows us to build applications which can be compiled to very diverse environments: the same code can be linked to run as a regular Unix app, relinked to run as a FreeBSD kernel module, and even linked into a self-contained kernel which can run on the Xen hypervisor.
Mirage has access to an extensive suite of pure OCaml libraries, covering everything from Xen block and network virtual device drivers, a TCP/IP stack, OpenFlow learning switches and controllers, to SSH and HTTP server implementations.
I normally use Mirage to deploy applications as kernels on top of a XenServer hypervisor. I start by first using the Mirage libraries within a normal Unix userspace application – where I have access to excellent debugging tools – and then finally link my app as a high-performance Xen kernel for production.
However Mirage is great for more than simply building Xen kernels. In this post I’ll describe how I’ve been using Mirage to create experimental virtual disk devices for existing Xen VMs (which may themselves be Linux, *BSD, Windows or even Mirage kernels). The Mirage libraries let me easily experiment with different backend file formats and protocols, all while writing only type-safe OCaml code thats runs in userspace in a normal Linux domain 0.
Disk devices under Xen
The protocols used by Xen disk and network devices are designed to permit fast and efficient software implementations, avoiding the inefficiencies inherent in emulating physical hardware in software. The protocols are based on two primitives:
- shared memory pages: used for sharing both data and metadata
- event channels: similar to interrupts, these allow one side to signal the other
In the disk block protocol, the protocol starts with the client (“frontend” in Xen jargon) sharing a page with the server (“backend”). This single page will contain the request/response metadata, arranged as a circular buffer or “ring”. The client (“frontend”) can then start sharing pages containing disk blocks with the backend and pushing request structures to the ring, updating shared pointers as it goes. The client will give the server end a kick via an event channel signal and then both ends start running simultaneously. There are no locks in the protocol so updates to the shared metadata must be handled carefully, using write memory barriers to ensure consistency.
Xen disk devices in MirageOS
Like everything else in Mirage, Xen disk devices are implemented as libraries. The ocamlfind library called “xenctrl” provides support for manipulating blocks of raw memory pages, “granting” access to them to other domains and signalling event channels. There are two implementations of “xenctrl”: one that invokes Xen “hypercalls” directly and one which uses the Xen userspace library libxc. Both implementations satisfy a common signature, so it’s easy to write code which will work in both userspace and kernelspace.
The ocamlfind library shared-memory-ring provides functions to create and manipulate request/response rings in shared memory as used by the disk and network protocols. This library is a mix of 99.9% OCaml and 0.1% asm, where the asm is only needed to invoke memory barrier operations to ensure that metadata writes issued by one CPU core appear in the same order when viewed from another CPU core.
Finally the ocamlfind library xenblock provides functions to hotplug and hotunplug disk devices, together with an implementation of the disk block protocol itself.
Making custom virtual disk servers with MirageOS
Let’s experiment with making our own virtual disk server based on the Mirage example program, xen-disk.
First, install Xen, OCaml and OPAM. Second initialise your system:
opam init
eval `opam config env`
At the time of writing, not all the libraries were released as upstream OPAM packages, so it was necessary to add some extra repositories. This should not be necessary after the Mirage developer preview at OSCON 2013.
opam remote add mirage-dev git://github.com/mirage/opam-repo-dev
opam remote add xapi-dev git://github.com/xapi-project/opam-repo-dev
Install the unmodified xen-disk
package, this will ensure all the build
dependencies are installed:
opam install xen-disk
When this completes it will have installed a command-line tool called
xen-disk
. If you start a VM using your Xen toolstack of choice
(“xl create …” or “xe vm-install …” or “virsh create …”) then you
should be able to run:
xen-disk connect <vmname>
which will hotplug a fresh block device into the VM “
Assuming that worked ok, clone and build the source for xen-disk
yourself:
git clone git://github.com/mirage/xen-disk
cd xen-disk
make
Making a custom virtual disk implementation
The xen-disk
program has a set of simple built-in virtual disk implementations.
Each one satisifies a simple signature, contained in
src/storage.mli:
type configuration = {
filename: string; (** path where the data will be stored *)
format: string option; (** format of physical data *)
}
(** Information needed to "open" a disk *)
module type S = sig
(** A concrete mechanism to access and update a virtual disk. *)
type t
(** An open virtual disk *)
val open_disk: configuration -> t option Lwt.t
(** Given a configuration, attempt to open a virtual disk *)
val size: t -> int64
(** [size t] is the size of the virtual disk in bytes. The actual
number of bytes stored on media may be different. *)
val read: t -> Cstruct.t -> int64 -> int -> unit Lwt.t
(** [read t buf offset_sectors len_sectors] copies [len_sectors]
sectors beginning at sector [offset_sectors] from [t] into [buf] *)
val write: t -> Cstruct.t -> int64 -> int -> unit Lwt.t
(** [write t buf offset_sectors len_sectors] copies [len_sectors]
sectors from [buf] into [t] beginning at sector [offset_sectors]. *)
end
Let’s make a virtual disk implementation which uses an existing disk image file as a “gold image”, but uses copy-on-write so that no writes persist. This is a common configuration in Virtual Desktop Infrastructure deployments and is generally handy when you want to test a change quickly, and revert it cleanly afterwards.
A useful Unix technique for file I/O is to “memory map” an existing file: this associates the file contents with a range of virtual memory addresses so that reading and writing within this address range will actually read or write the file contents. The “mmap” C function has a number of flags, which can be used to request “copy on write” behaviour. Reading the OCaml manual Bigarray.map_file it says:
If shared is true, all modifications performed on the array are reflected in the file. This requires that fd be opened with write permissions. If shared is false, modifications performed on the array are done in memory only, using copy-on-write of the modified pages; the underlying file is not affected.
So we should be able to make a virtual disk implementation which memory maps the image file and achieves copy-on-write by setting “shared” to false. For extra safety we can also open the file read-only.
Luckily there is already an
“mmap” implementation
in xen-disk
; all we need to do is tweak it slightly.
Note that the xen-disk
program uses a co-operative threading library called
lwt
which replaces functions from the OCaml standard library which might block
with non-blocking variants. In
particular lwt
uses Lwt_bytes.map_file
as a wrapper for the
Bigarray.Array1.map_file
function.
In the “open-disk” function we simply need to set “shared” to “false” to
achieve the behaviour we want i.e.
let open_disk configuration =
let fd = Unix.openfile configuration.filename [ Unix.O_RDONLY ] 0o0 in
let stats = Unix.LargeFile.fstat fd in
let mmap = Lwt_bytes.map_file ~fd ~shared:false () in
Unix.close fd;
return (Some (stats.Unix.LargeFile.st_size, Cstruct.of_bigarray mmap))
The read and write functions can be left as they are:
let read (_, mmap) buf offset_sectors len_sectors =
let offset_sectors = Int64.to_int offset_sectors in
let len_bytes = len_sectors * sector_size in
let offset_bytes = offset_sectors * sector_size in
Cstruct.blit mmap offset_bytes buf 0 len_bytes;
return ()
let write (_, mmap) buf offset_sectors len_sectors =
let offset_sectors = Int64.to_int offset_sectors in
let offset_bytes = offset_sectors * sector_size in
let len_bytes = len_sectors * sector_size in
Cstruct.blit buf 0 mmap offset_bytes len_bytes;
return ()
Now if we rebuild and run something like:
dd if=/dev/zero of=disk.raw bs=1M seek=1024 count=1
losetup /dev/loop0 disk.raw
mkfs.ext3 /dev/loop0
losetup -d /dev/loop0
dist/build/xen-disk/xen-disk connect <myvm> --path disk.raw
Inside the VM we should be able to do some basic speed testing:
# dd if=/dev/xvdb of=/dev/null bs=1M iflag=direct count=100
100+0 records in
100+0 records out
104857600 bytes (105 MB) copied, 0.125296 s, 837 MB/s
Plus we should be able to mount the filesystem inside the VM, make changes and then disconnect (send SIGINT to xen-disk by hitting Control+C on your terminal) without disturbing the underlying disk contents.
So what else can we do?
Thanks to Mirage it’s now really easy to experiment with custom storage types for your existing VMs. If you have a cunning scheme where you want to hash block contents, and use the hashes as keys in some distributed datastructure – go ahead, it’s all easy to do. If you have ideas for improving the low-level block access protocol then Mirage makes those experiments very easy too.
If you come up with a cool example with Mirage, then send us a pull request or send us an email to the Mirage mailing list – we’d love to hear about it!
- Irmin 0.12 with portable filesystem watching released
- MirageOS Summer 2016 Hackathon roundup
- MirageOS Summer 2016 Hackathon announcement, and talk roundup
- MirageOS Spring 2016 Hackathon!
- MirageOS security advisory 00: mirage-net-xen
- Introducing Functoria
- Run Mirage Unikernels on KVM/QEMU with Solo5
- MirageOS hackathon
- Introducing Charrua — a DHCP implementation
- Unikernel.org


|
|
IFXNeighborFace Class ReferenceThe IFXNeighborFace interface defines neighbor mesh faces and flag data structures.
More...
List of all members.
|
Public Member Functions |
| void | GetNeighbor (U32 corner, U32 *pNeighborMesh, U32 *pNeighborFace, IFXCornerFlags **ppFlags) |
| void | SetNeighbor (U32 corner, U32 neighborMesh, U32 neighborFace, IFXCornerFlags flags) |
| void | SetNeighbor (U32 corner, U32 neighborMesh, U32 neighborFace, U32 neighborCorner) |
| IFXFaceFlags * | GetFaceFlags () |
| void | SetFaceFlags (IFXFaceFlags flags) |
| IFXCornerFlags * | GetCornerFlags (U32 corner) |
| void | SetCornerFlags (U32 corner, IFXCornerFlags flags) |
Public Attributes |
| U32 | m_neighborMesh [3] |
| U32 | m_neighborFace [3] |
| IFXCornerFlags | m_cornerFlags [3] |
| IFXFaceFlags | m_faceFlags |
Detailed Description
The IFXNeighborFace interface defines neighbor mesh faces and flag data structures.
The corner and face flags are cooperatively shared across different technologies. The neighbor mesh resolution controller uses the named flags.
- Note:
- Gets the face index of the next face in the circular-linked list of faces around the edge identified by cornerIndex (the edge opposite the corner).
When there are no neighbor faces on the identified edge (as in the outermost extent of the mesh), this is best visualized as one face in the circular-linked list (of faces around the edge). Thus, the current face index is returned.
No virtual methods. Adding a single virtual method costs four bytes per face.
Define the preprocessor symbol IFX_NEIGHBOR_HUGE to compile Neighbor Mesh with the Huge layout.
Bit Layout of Compact vs. Huge Versions
Corner bits Compact Huge
mesh index 16 32
face index 16 32
corner index 2 2
flipped 1 1
collapsed 1 1
user flags 4 4
Sum 40 72
All corners 120 216
Face flag 8 8
Total bits 128 224
Total bytes 16 28
Member Function Documentation
|
|
Gets face flags for the current face.
|
| IFXINLINE void IFXNeighborFace::GetNeighbor |
( |
U32 |
corner, |
|
|
U32 * |
pNeighborMesh, |
|
|
U32 * |
pNeighborFace, |
|
|
IFXCornerFlags ** |
ppFlags |
|
) |
|
|
|
|
- Parameters:
-
| corner |
in: corner index on current face: |
| pNeighborMesh |
out: mesh index of neighbor face |
| pNeighborFace |
out: face index of neighbor face |
| pFlags |
out: corner flags |
|
|
|
Sets flags for a corner.
- Parameters:
-
| corner |
in: corner index on current face |
| flags |
in: corner flags |
|
| IFXINLINE void IFXNeighborFace::SetFaceFlags |
( |
IFXFaceFlags |
flags |
) |
|
|
|
|
Sets flags for the current face.
|
| IFXINLINE void IFXNeighborFace::SetNeighbor |
( |
U32 |
corner, |
|
|
U32 |
neighborMesh, |
|
|
U32 |
neighborFace, |
|
|
U32 |
neighborCorner |
|
) |
|
|
|
|
Sets neighbor mesh links for a corner on the current face.
- Parameters:
-
| corner |
corner index on current face |
| neighborMesh |
mesh index of neighbor face |
| neighborFace |
face index of neighbor face |
| neighborCorner |
corner index of neighbor face |
|
| IFXINLINE void IFXNeighborFace::SetNeighbor |
( |
U32 |
corner, |
|
|
U32 |
neighborMesh, |
|
|
U32 |
neighborFace, |
|
|
IFXCornerFlags |
flags |
|
) |
|
|
|
|
Sets neighbor mesh links for a corner on the current face.
- Parameters:
-
| corner |
corner index on current face: must be 0, 1, or 2 |
| neighborMesh |
mesh index of neighbor face |
| neighborFace |
face index of neighbor face |
| flags |
corner flags |
|
Member Data Documentation
© 1999 - 2006 Intel Corporation. All rights reserved.
* Other names and brands may be claimed as the property of others.
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Receipt
Receipt Code
Receipt Date
Billed By
Email
Phone
Web site
Billed To
Email
Item
Quantity
Taxes
Price
Taxes
Total


statsmodels.tsa.statespace.representation.Representation¶
-
class
statsmodels.tsa.statespace.representation.
Representation
(k_endog, k_states, k_posdef=None, initial_variance=1000000.0, nobs=0, dtype=<class 'numpy.float64'>, design=None, obs_intercept=None, obs_cov=None, transition=None, state_intercept=None, selection=None, state_cov=None, statespace_classes=None, **kwargs)[source]¶ State space representation of a time series process
Parameters: - k_endog (array_like or integer) – The observed time-series process \(y\) if array like or the number of variables in the process if an integer.
- k_states (int) – The dimension of the unobserved state process.
- k_posdef (int, optional) – The dimension of a guaranteed positive definite covariance matrix describing the shocks in the measurement equation. Must be less than or equal to k_states. Default is k_states.
- initial_variance (float, optional) – Initial variance used when approximate diffuse initialization is specified. Default is 1e6.
- initialization ({'approximate_diffuse','stationary','known'}, optional) – Initialization method for the initial state.
- initial_state (array_like, optional) – If known initialization is used, the mean of the initial state’s distribution.
- initial_state_cov (array_like, optional) – If known initialization is used, the covariance matrix of the initial state’s distribution.
- nobs (integer, optional) – If an endogenous vector is not given (i.e. k_endog is an integer), the number of observations can optionally be specified. If not specified, they will be set to zero until data is bound to the model.
- dtype (np.dtype, optional) – If an endogenous vector is not given (i.e. k_endog is an integer), the default datatype of the state space matrices can optionally be specified. Default is np.float64.
- design (array_like, optional) – The design matrix, \(Z\). Default is set to zeros.
- obs_intercept (array_like, optional) – The intercept for the observation equation, \(d\). Default is set to zeros.
- obs_cov (array_like, optional) – The covariance matrix for the observation equation \(H\). Default is set to zeros.
- transition (array_like, optional) – The transition matrix, \(T\). Default is set to zeros.
- state_intercept (array_like, optional) – The intercept for the transition equation, \(c\). Default is set to zeros.
- selection (array_like, optional) – The selection matrix, \(R\). Default is set to zeros.
- state_cov (array_like, optional) – The covariance matrix for the state equation \(Q\). Default is set to zeros.
- **kwargs – Additional keyword arguments. Not used directly. It is present to improve compatibility with subclasses, so that they can use **kwargs to specify any default state space matrices (e.g. design) without having to clean out any other keyword arguments they might have been passed.
-
nobs
¶ int – The number of observations.
-
k_endog
¶ int – The dimension of the observation series.
-
k_states
¶ int – The dimension of the unobserved state process.
-
k_posdef
¶ int – The dimension of a guaranteed positive definite covariance matrix describing the shocks in the measurement equation.
-
shapes
¶ dictionary of name:tuple – A dictionary recording the initial shapes of each of the representation matrices as tuples.
-
initialization
¶ str – Kalman filter initialization method. Default is unset.
-
initial_variance
¶ float – Initial variance for approximate diffuse initialization. Default is 1e6.
Notes
A general state space model is of the form
\[\begin{split}y_t & = Z_t \alpha_t + d_t + \varepsilon_t \\ \alpha_t & = T_t \alpha_{t-1} + c_t + R_t \eta_t \\\end{split}\]where \(y_t\) refers to the observation vector at time \(t\), \(\alpha_t\) refers to the (unobserved) state vector at time \(t\), and where the irregular components are defined as
\[\begin{split}\varepsilon_t \sim N(0, H_t) \\ \eta_t \sim N(0, Q_t) \\\end{split}\]The remaining variables (\(Z_t, d_t, H_t, T_t, c_t, R_t, Q_t\)) in the equations are matrices describing the process. Their variable names and dimensions are as follows
Z : design \((k\_endog \times k\_states \times nobs)\)
d : obs_intercept \((k\_endog \times nobs)\)
H : obs_cov \((k\_endog \times k\_endog \times nobs)\)
T : transition \((k\_states \times k\_states \times nobs)\)
c : state_intercept \((k\_states \times nobs)\)
R : selection \((k\_states \times k\_posdef \times nobs)\)
Q : state_cov \((k\_posdef \times k\_posdef \times nobs)\)
In the case that one of the matrices is time-invariant (so that, for example, \(Z_t = Z_{t+1} ~ \forall ~ t\)), its last dimension may be of size \(1\) rather than size nobs.
References
[*] Durbin, James, and Siem Jan Koopman. 2012. Time Series Analysis by State Space Methods: Second Edition. Oxford University Press. Methods
bind
(endog)Bind data to the statespace representation initialize_approximate_diffuse
([variance])Initialize the statespace model with approximate diffuse values. initialize_known
(initial_state, …)Initialize the statespace model with known distribution for initial state. initialize_stationary
()Initialize the statespace model as stationary. Attributes
design
(array) Design matrix – \(Z~(k\_endog \times k\_states \times nobs)\) dtype
(dtype) Datatype of currently active representation matrices endog
(array) The observation vector, alias for obs. obs
(array) Observation vector – \(y~(k\_endog \times nobs)\) obs_cov
(array) Observation covariance matrix – \(H~(k\_endog \times k\_endog \times nobs)\) obs_intercept
(array) Observation intercept – \(d~(k\_endog \times nobs)\) prefix
(str) BLAS prefix of currently active representation matrices selection
(array) Selection matrix – \(R~(k\_states \times k\_posdef \times nobs)\) state_cov
(array) State covariance matrix – \(Q~(k\_posdef \times k\_posdef \times nobs)\) state_intercept
(array) State intercept – \(c~(k\_states \times nobs)\) time_invariant
(bool) Whether or not currently active representation matrices are time-invariant transition
(array) Transition matrix – \(T~(k\_states \times k\_states \times nobs)\)


I am a certified Full-Stack web developer that welcomes challenges and learning new things.
Solely responsible for all IT needs at a growing company that leverages technology to meet the air quality needs of our clients and the day to day needs of our employees.
Assisted the Driller by maintaining all equipment related to the circulating system, selecting and assigning crew members to tasks related to the circulation system; i.e. for rig-ups, preparing and drilling surface holes, running casing/cement, head-ups and pressure tests, tripping of pipe, drilling of main holes, shut-downs and rig-outs. Familiar with chemical and drilling fluids and with circulating and pumping systems.
Direct marketing sales of residential and commercial security systems. Hire, train, and manage Sales Representatives while working directly with the Owner to ensure consistent sales of product.
GPA: 4.0
GPA: 4.0


Google Assistant is getting new calendar and email functions for G Suite accounts
Assistant gets a little more assistive with G Suite
by James VincentGoogle Assistant has always been weirdly limited for users who are signed in with G Suite accounts, but Google seems to be slowly fixing this. It added some new functions back in April, and with its latest update for Assistant, the company says G Suite users can now use voice commands to perform the following Calendar and Gmail functions:
- Ask when your next meeting is
- Create, cancel, and reschedule Calendar events
- Send emails to all attendees of a meeting
- Send emails to specific contacts
- Dial into meetings
A couple of caveats apply, though. First, these features are turned off by default and are currently still in beta. You’ll have to apply to use them. If you’re a domain administrator, that’s no problem; you can sign up here. But if you’re trying to access this for a work account, you might have to convince your admin to apply it for your whole team.
Secondly, if you’re logged in to both a personal Google account and a work G Suite account, Assistant will only work with one account at a time. “You must switch between those accounts if you’d like to ask a question about your other account,” Google says. Let’s hope Assistant gets more helpful in the future.


Profile
Charles Qian
Lead iOS Developer
Hi! My name is Charles. I've worked at BestBuy for 10 years on projects such as BestBuy.com and the BestBuy iOS App. Feel free to send me a message on Slack.
Send Email Send Message on Slack
*Charles has received a high volume of connections lately and may take a while to respond. For an employee with similar skills, we suggest: Joel Tecson.
Skills
Proficient in
|
Open to mentorship
Interested in
Previous Projects
Best Buy iOS App
I lead the Best Buy iOS Team and created the application from the ground-up in Swift.
Employee Database BestBuy.ca


Description:
Find yourself frustrated trying to handle the simple text requirements of your game, with complicated, bloated font solutions? SpriteFont is the answer. Created to be simple, intuitive, and easy to use, spritefont will get your game text up and running in no time.
SpriteFont does the basic things most game designers need from text, and it does it well. Plus, if you are smart about it, you can do it all in the same drawcall as your other sprites.


Who are we?
Delicious Desserts of course! We aim to be the premier dessert experts of Australia, by following our company motto “Delivering great desserts, rich content while having a fantastic time. ”Delicious Desserts have been in the business for over 20 years. Our reputation is unbeatable.
Great taste! Great Ideas! Great service! You want the best, we have got it.
What do we do?
We provide rich and useful content about desserts. Our website mainly delivers recipes and history at the moment (plenty of room for development). We have created a user friendly feedback system to allow viewers to rate and comment on recipes in real time. Allowing you and us to give instant feedback, as well as useful information to potential bakers.  Let's get started.
Where do we operate?
Completely online at the moment. We have plans to introduce workshops and classes as well as visit expos around Australia. Unfortunately, this plan is still in the first stage, so for the moment please enjoy the full range of our online services.
We are very excited to provide all of our customers with more information about our delicious desserts. If you have any questions, please don't hesitate to email or give us a call, looking forwarded to hearing from you.


Tomorrow our first round of $MASK ITO will commence. It’s time to release our airdrop recipient list. The check airdrop feature is live now.
Install Mask if you haven’t already. Click the blue “MASK” button on the top left screen and you will be able to view how many $MASKs you are entitled to. It’s not claimable now though, you have to wait until Saturday, 3am (GMT+0) Feb 27th, 24 hours after our LBP sale concludes.
Tutorial on how to install Mask and check/claim airdrop
https://news.mask.io/2021/02/17/how-to-participate-in-ito-and-claim-airdrops-of-mask
We’ve also put the entire recipient list on Arweave and IPFS. The link to the list is tweeted using Mask’s encryption technology. We welcome everyone to check it out.
Last time we said that: “Inspired by Uniswap, Badger and other DeFi and Web 3.0 projects, we will not only give rewards to $MASK to our early supporters. Ecosystem participants like Gitcoin donors and active voters in DeFi governance will also be rewarded to show our appreciation of their efforts. We hope this can promote more meaningful contributions to the ecosystem.”
After running through the addresses a few times we are able to finalize the list. We‘d like to further demonstrate the rationale behind the scene as well as sharing a few interesting pieces of knowledge that we’ve found along the way.
We divide the recipients into 2 major categories: Mask insider and Ecosystem Participants, and 6 sub categories as shown in the below table 1 and table 2.
Key Metrics
Total Number of Addresses Receiving the Airdrop: 15,949
Total $MASK Airdropped: 1,067,780
Median Amount: 50
Average Amount: 67
Number of Addresses Receiving > 200 $MASK: 147
Number of Addresses Qualifying for >= 3 Sub-Categories: 62
Table 1: Airdrop Classification and Number of Respective Recipients
Table 2: Airdrop Amount Per Address by Classification
Mask Insider
Mask actually have a lot more features other than the 3 mentioned here. However we put user’s privacy as the utmost concern so we do not attempt any event tracking. Therefore we cannot obtain data from third party ethereum apps like Uniswap and 0x. We can only obtain addresses that have interacted with our own contracts, namely red packet, NFT and ITO. So here’s the airdrop for the participants of those 3 categories.
NFT
We’ve only issued NFT once, the election special. A total of 589 NFTs was given away free. We even covered gas back then. 230 holders for now, the guy with most NFTs has a whopping 66. 30 people have 5 NFTs or more.
Red Packet
Red packet was our first Ethereum based feature launched in Spring 2020. It pioneered in sending payment on top of Twitter in a decentralized manner. The Chinese New Year Red Packet campaign with Maker stormed the entire crypto Twitter. Ethereum founder Vitalik Buterin was even among the first batch of users and gave away some Ether for perhaps the only time since he is the famous “non-giver of Ether”. 110 addresses had more than 5 interactions with our red packet contract.
Initial Twitter Offering
Initial Twitter Offering is our latest feature aimed to revolutionize the asset issuance market. We’ve successfully launched 2 offerings with Loopring and Mirror Protocol. 208 people participated in the 2 offerings. We are a bit surprised that 2 other offerings took place and 3 people participated. So we decide to give additional rewards to those 3 addresses. It is indeed permissionless so we welcome anyone to utilize the ITO feature.
Ecosystem Participants
We thought long and hard about who should get the reward. Inspired by the list of eligible activities Badger, SDT and Float put forward, and some improvisation, we decided to reward 3 categories: governance voter, gitcoin donor and people who put their Twitter handle in a text record on ENS. These 3 represent 3 types of people who have contributed to the ecosystem growth and have well documented Ethereum addresses.
Voters
Voters include both Snapshot voters and voters of major projects that’s not in Snapshot: Maker, Compound, AAVE and Curve. We found a total of 11,828 addresses voted 2-10 times, and 1,575 addresses voted over 10 times. All dated before 1/1/2021.
A few interesting tidbits. In the 4 projects outside Snapshot, we found a total of 1,584 addresses voted 2-10 times, and 254 addresses voted over 10 times.
Sushi has more than 3,000 voters, YFI 1,700+, Badger 1,300+, Maker and Yam 1,200+, Pickle 1,100+, AAVE 900+, Uniswap and Compound 600+.
Gitcoin Donors:
We set the criteria to people who donated in more than 2 different rounds (out of 8 total) because a lot of people came in donating a minimal amount after the Badger airdrop. We found 1,253. We favor our own 275 donors a bit more, understandably.
ENS
This is our improvisation. We are first and foremost a project trying to bridge social networks and Web 3.0, so we look for people who tried a bit harder than others. We think putting Twitter handles on ENS text records is a very good indicator since this costs gas. We found more than 500 people. We didn’t do it other way around, i.e. putting ENS as twitter display name due to gameable concerns.
That concludes the explanation of our airdrop rationale. Have fun staying with your Mask!
Github https://github.com/DimensionDev
Twitter https://twitter.com/realMaskNetwork
Facebook https://www.facebook.com/masknetwork
Discord https://discord.com/invite/cKGW45g
Telegram (English) https://t.me/maskbook_group
Telegram （中文） https://t.me/masknetwork_cn


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--- layout: post title: Storyboard frame date: '2019-01-16 12:31:26 +0100' categories: - Storyboards ---
Advertising storyboard


404
The game or other resource that you are looking for could not be found, or you don't have permission to access it. If this error is unexpected, the application may have restarted.


R/umap.R
step_umap.Rd
step_umap
creates a specification of a recipe step that
will project a set of features into a smaller space.
step_umap( recipe, ..., role = "predictor", trained = FALSE, outcome = NULL, neighbors = 15, num_comp = 2, min_dist = 0.01, learn_rate = 1, epochs = NULL, options = list(verbose = FALSE, n_threads = 1), seed = sample(10^5, 2), retain = FALSE, object = NULL, skip = FALSE, id = rand_id("umap") ) # S3 method for step_umap tidy(x, ...)
| recipe | A recipe object. The step will be added to the sequence of operations for this recipe. |
|---|---|
| ... | One or more selector functions to choose variables. For
|
| role | For model terms created by this step, what analysis role should they be assigned?. By default, the function assumes that the new embedding columns created by the original variables will be used as predictors in a model. |
| trained | A logical to indicate if the quantities for preprocessing have been estimated. |
| outcome | A call to |
| neighbors | An integer for the number of nearest neighbors used to construct the target simplicial set. |
| num_comp | An integer for the number of UMAP components. |
| min_dist | The effective minimum distance between embedded points. |
| learn_rate | Positive number of the learning rate for the optimization process. |
| epochs | Number of iterations for the neighbor optimization. See
|
| options | A list of options to pass to |
| seed | Two integers to control the random numbers used by the
numerical methods. The default pulls from the main session's stream of
numbers and will give reproducible results if the seed is set prior to
calling |
| retain | A single logical for whether the original predictors should be kept (in addition to the new embedding variables). |
| object | An object that defines the encoding. This is
|
| skip | A logical. Should the step be skipped when the recipe is baked
by |
| id | A character string that is unique to this step to identify it. |
| x | A |
An updated version of recipe
with the new step added to the
sequence of existing steps (if any). For the tidy
method, a tibble with a
column called terms
(the selectors or variables for embedding) is
returned.
UMAP, short for Uniform Manifold Approximation and Projection, is a nonlinear dimension reduction technique that finds local, low-dimensional representations of the data. It can be run unsupervised or supervised with different types of outcome data (e.g. numeric, factor, etc).
McInnes, L., & Healy, J. (2018). UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. https://arxiv.org/abs/1802.03426.
"How UMAP Works" https://umap-learn.readthedocs.io/en/latest/how_umap_works.html
library(recipes) library(dplyr) library(ggplot2) split <- seq.int(1, 150, by = 9) tr <- iris[-split, ] te <- iris[ split, ] set.seed(11) supervised <- recipe(Species ~ ., data = tr) %>% step_center(all_predictors()) %>% step_scale(all_predictors()) %>% step_umap(all_predictors(), outcome = vars(Species), num_comp = 2) %>% prep(training = tr) theme_set(theme_bw()) bake(supervised, new_data = te, Species, starts_with("umap")) %>% ggplot(aes(x = umap_1, y = umap_2, col = Species)) + geom_point(alpha = .5)


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java.lang.Object java.util.AbstractCollection<E> java.util.AbstractQueue<E> org.amino.ds.lockfree.LockFreeDeque<E>
E
- type of element in the dequepublic class LockFreeDeque<E>
This Deque implementation is based on the algorithm defined in the follwoing paper: CAS-Based Lock-Free Algorithm for Shared Deques By Maged M. Michael
As the terminology between this implementation differs from the Deque interface defined in Java 6, please translate left = last and right = first. Right => First, Left => Last
| Constructor Summary | |
|---|---|
LockFreeDeque()
|
| Method Summary | |
|---|---|
boolean |
add(E e)
|
void |
addFirst(E d)
Inserts element e into the front of the deque. |
void |
addLast(E d)
Inserts element ea at the end of the deque. |
void |
clear()
Removes all elements, clears the deque. |
boolean |
contains(java.lang.Object o)
|
java.util.Iterator<E> |
descendingIterator()
Returns an iterator over this deque which traverses the elements from last to first. |
E |
element()
Returns head (first element) of this deque, but does not remove it. |
E |
getFirst()
Returns head (first element) of this deque, but does not remove it. |
E |
getLast()
Returns tail (last element) of this deque, but does not remove it. |
boolean |
isEmpty()
Checks to see if the deque is empty or not. |
java.util.Iterator<E> |
iterator()
|
boolean |
offer(E e)
Inserts element e at the tail of this deque. |
boolean |
offerFirst(E e)
Inserts element e at the front of this deque. |
boolean |
offerLast(E e)
Inserts element e at the tail of this deque. |
E |
peek()
Returns the first element of this deque, or null if deque is empty. |
E |
peekFirst()
Returns the first element of this deque, or null if deque is empty. |
E |
peekLast()
Returns the last element of this deque, or null if deque is empty. |
E |
poll()
Returns and removes first (head) element of this deque, or null if this deque is empty. |
E |
pollFirst()
Returns and removes first (head) element of this deque, or null if this deque is empty. |
E |
pollLast()
Returns and removes last (tail) element of this deque, or null if this deque is empty. |
E |
pop()
|
void |
push(E e)
|
E |
remove()
Returns and removes the first element in this deque. |
boolean |
remove(java.lang.Object o)
Remove first occurrence of specified object o in this deque. |
E |
removeFirst()
Returns and removes the first element in this deque. |
boolean |
removeFirstOccurrence(java.lang.Object o)
Remove first occurrence of specified object o in this deque. |
E |
removeLast()
Returns and removes the last element in this deque. |
boolean |
removeLastOccurrence(java.lang.Object o)
Remove last occurrence of specified object o in this deque. |
int |
size()
|
| Methods inherited from class java.util.AbstractQueue |
|---|
addAll |
| Methods inherited from class java.util.AbstractCollection |
|---|
containsAll, removeAll, retainAll, toArray, toArray, toString |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Methods inherited from interface java.util.Collection |
|---|
addAll, containsAll, equals, hashCode, removeAll, retainAll, toArray, toArray |
| Constructor Detail |
|---|
public LockFreeDeque()
| Method Detail |
|---|
public E element()
element
in interface java.util.Queue<E>
element
in class java.util.AbstractQueue<E>
java.util.NoSuchElementException
public boolean offer(E e)
addLast(E)
.
offer
in interface java.util.Queue<E>
e
- element to insert
public E peek()
peek
in interface java.util.Queue<E>
public E poll()
poll
in interface java.util.Queue<E>
public E remove()
remove
in interface java.util.Queue<E>
remove
in class java.util.AbstractQueue<E>
public java.util.Iterator<E> descendingIterator()
descendingIterator
in interface Deque<E>
public E getFirst()
getFirst
in interface Deque<E>
public E getLast()
getLast
in interface Deque<E>
public boolean offerFirst(E e)
addFirst(E)
.
offerFirst
in interface Deque<E>
e
- element to insert.
public boolean offerLast(E e)
addLast(E)
.
offerLast
in interface Deque<E>
e
- element to insert
public E removeFirst()
removeFirst
in interface Deque<E>
public boolean removeFirstOccurrence(java.lang.Object o)
removeFirstOccurrence
in interface Deque<E>
o
- element to be removed, if present.
public E removeLast()
removeLast
in interface Deque<E>
public boolean removeLastOccurrence(java.lang.Object o)
removeLastOccurrence
in interface Deque<E>
o
- element to be removed, if present.
public boolean add(E e)
add
in interface java.util.Collection<E>
add
in interface java.util.Queue<E>
add
in class java.util.AbstractQueue<E>
public void clear()
clear
in interface java.util.Collection<E>
clear
in class java.util.AbstractQueue<E>
public boolean contains(java.lang.Object o)
contains
in interface java.util.Collection<E>
contains
in class java.util.AbstractCollection<E>
public boolean isEmpty()
isEmpty
in interface java.util.Collection<E>
isEmpty
in class java.util.AbstractCollection<E>
public java.util.Iterator<E> iterator()
iterator
in interface java.lang.Iterable<E>
iterator
in interface java.util.Collection<E>
iterator
in class java.util.AbstractCollection<E>
public boolean remove(java.lang.Object o)
remove
in interface java.util.Collection<E>
remove
in class java.util.AbstractCollection<E>
o
- element to be removed, if present.
public int size()
size
in interface java.util.Collection<E>
size
in class java.util.AbstractCollection<E>
public void addFirst(E d)
addFirst
in interface Deque<E>
d
- element being addedpublic E peekFirst()
peekFirst
in interface Deque<E>
public E pollFirst()
pollFirst
in interface Deque<E>
public void addLast(E d)
addLast
in interface Deque<E>
d
- element being added to the end of the deque.public E peekLast()
peekLast
in interface Deque<E>
public E pollLast()
pollLast
in interface Deque<E>
public E pop()
public void push(E e)
e
- element pushed
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Rory Letteney
Software Developer
Hi everyone! My name is Rory and I'm currently starting my new life as a software developer. My toolkit includes HTML, CSS, JavaScript, C#, Python, Node.js, MySQL, and MongoDB. My favorite language is C#, although I can't really tell you why. I enjoy making games through Unity as a hobby.


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--- title: "Card with Buttons" description: author: Joseph Matembu category: standard type: cards order: 3 ---
Replenish, earth tree replenish give, he air days you, after i first them dry Seed. Created own every one lights.


Dear {{ename}},
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@(You are Unauthorized to view this. Returned along with appopriate header that ask the client to authenticate itself before it can gain access to the resource.)
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--- title: "OpenVPN IPv6 Tunnel Fails on Windows" date: "2013-08-25" redirect_from: "/post/59339270690/openvpn-ipv6-tunnel-fails-on-windows" categories: - "OpenVPN" - "IPv6" - "Windows" --- OpenVPN 2.3.2-I003, Windows 7 x86_64 When attempting to establish a IPv6 tunnel on Windows, if you see the following error:
NETSH: C:\Windows\system32\netsh.exe interface ipv6 set address Local Area Connection 2 2402:b300:100:aafc:4000:1234:0:1000 store=active ERROR: netsh command failed: returned error code 1then you probably do not have IPv6 enabled on your Windows machine. IPv6 is controlled in the registry via the key HKLM\SYSTEM\CurrentControlSet\services\TCPIP6\Parameters\DisabledComponents, the default value of which is 0x10. To enable IPv6 on all network interfaces, change this value to 0x0. There are several other options for this key; see Microsoft KB 929852 for more info. In my tests, the only value I could get to work with OpenVPN was 0x0, although I also tried Microsoft Fix it 50443, which enables IPv6 on all tunnel interfaces.


-11
How to generate data points with given correlation "r"?
Generate two sequences of uncorrelated normal distributed random numbers $X_1, X_2$
Define a new sequence $$Y_1 = \rho X_1 + \sqrt{1-\rho^2} X_2$$ This new $Y_1$ sequence will have a correlation of $\rho$ with the $X_1$ sequence.


#include <DSIGTransformList.hpp>
This class is the container for the <Transforms> list in a Reference or KeyInfo list. It holds a list of Transform elements that can be manipulated by the caller, or asked to provide the appropriate TXFM* class to actually perform a transform.
Manipulate existing structures | |
| void | addTransform (DSIGTransform *ref) |
| Add a transform to the list. | |
| void | removeTransform (size_type index) |
| Remove a transform from the list. | |
| DSIGTransform * | item (size_type index) |
| Delete the transform at the indicated position. | |
| size_type | getSize () |
| Get the number of items. | |
| bool | empty () |
| Remove all elements - but delete none. | |
Public Types | |
| typedef std::vector< DSIGTransform * > | TransformListVectorType |
| typedef size_t | size_type |
Public Member Functions | |
Constructors and Destructors | |
| DSIGTransformList () | |
| Construct the list. | |
| ~DSIGTransformList () | |
| Destroy all Transform resources. |
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Construct the list.
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Destroy all Transform resources. Destroys the list - including the contained DSIGTransform* elements. Does not destroy the underlying DOM structure. |
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Add a transform to the list. Should never be called directly - will add a pre-built transform to the list.
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Remove all elements - but delete none.
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Get the number of items.
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Delete the transform at the indicated position.
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Remove a transform from the list. Should never be called directly - will simply remove the element without deleting |


I. Butterfield was "The Perfect Mother" of Elmwood Dr.. Not only was she gorgeous with prematurely white hair, she was a very talented decorator and a good cook. She taught me how to cook a brisket. (We didn’t even have beef briskets in my part of Florida.)
Ingredients: 1 - 5 lb. beef brisket l oz. (I use more)
Liquid Smoke
1 tsp. each garlic, onion, and celery salt
Black Pepper
Worcestershire Sauce
Marinate the brisket overnight in liquid smoke and three flavored salts. Before cooking, drain excess liquid. Sprinkle with pepper and Worcestershire Sauce. Wrap in 2 thicknesses of Heavy-Duty Aluminum Foil and place in baking dish. Bake 5 hours at 275°. Remove foil. Let cool completely. Slice. Add barbecue sauce to pan juice (if desired). Return sliced meat to juice and reheat in oven for 1 hour, or zap in Microwave or reheat on top of stove.
You can cook a 4 lb. brisket for l hr/lb. but I would not attempt anything smaller. This freezes well. At our house, J.S. likes a salad of lettuce, chopped onions, tomatoes, grated Colby cheese and drained Ranch Style beans, dressed with Catalina French and topped with Fritos. Calories, Calories”
Ingredients: 4 lb. boneless beef chuck roast
2 Tbsp. salad oil
1 can condensed beef broth or 2 beef bouillon cubes in 1 1/2 cup water
3 Tbsp. soy sauce
1/2 tsp. curry powder
3 Tbsp. onion flakes
1 1/2 tsp. ginger
1/4 tsp. pepper
Garlic salt to taste
Brown meat on all sides in salad oil. Combine broth plus 1/2 can water and seasonings. Pour over meat and cover. Bake in a moderate oven 350° for about 3 hrs., turning once or twice. Remove from oven when tender and let set for 20 min. Thicken juices with a mixture of flour and water. Slice meat and serve with gravy. This Pot Roast is better with rice or noodles than with potatoes. The leftovers are wonderful as Fried Rice.
Ingredients: 1 lb. ground beef
3 Tbsp. quick-cooking rice cereal
1 tsp. salt
1/8 tsp. pepper
1/8 tsp. thyme, crushed
1/8 tsp. garlic powder ’
1 egg, beaten
1/4 cup milk
1 cup beef broth or bouillon
1 Tbsp. bottled browning sauce
1/2 cup Burgundy
2 Tbsp. corn starch
1 small can each mushrooms, onions, and carrots
Combine first 8 ingredients and shape into 16 meat balls. In a large skillet, combine beef broth and the browning sauce.  Cover and lower heat. Cook 5 min; turn and cook 5 min. more. Skim off fat. mix wine with cornstarch. Add to broth and cook, stirring constantly until thickened. Add mushrooms and onions with liquid. Add drained carrots.* Cook over low heat until vegetables are heated through. Serves 4 over buttered rice or noodles. * I’m too frugal to buy canned onions or carrots so I would cook my own and use the cooking liquid for the bouillon.
When we became affluent enough that I could afford a good pot roast instead of the hamburger, I just applied the same seasonings to the roast multiplying by the pounds the roast weighed. VoilÃ Beef Bourgignon.
Ingredients: 3 lb. boneless beef chuck, cut in 1" cubes
Flour
1 can condensed beef consommé
1/2 cup sherry
2 small onions, thinly sliced
1/2 tsp. curry powder
1/4 tsp. dried basil or 1 tsp. fresh
1 bay leaf
Garlic Salt and Freshly ground black pepper
1/2 strip bacon
1 stalk celery
6 carrots, scraped and cut on diagonal
Pinch of dried mint or 1 lg. fresh leaf
4 small tomatoes, peeled and cubed
1/2 lb. fresh mushrooms, sliced
2 Tbsp. flour
1 cup tomato puree
1/2 cup ea. finely chopped celery and parsley
Coat beef cubes in flour to coat. Place beef, consommé, sherry, onions, curry powder, basil, clove, bay leaf, garlic salt and freshly ground black pepper in an oven proof Dutch Oven. Place over moderate heat and heat until mixture comes to a boil. Add the bacon and celery to top of casserole. Cover and put in preheated 350° oven. Bake until fork-tender (about 2 hrs.) In the meantime, cook carrots with mint leaf until tender. (I like to use the microwave for vegetables.) Drain liquid from carrots. When meat is fork-tender, remove casserole from oven. Discard bacon and celery stalk. Place on range over moderate heat. Add tomatoes and mushrooms. Mix 2 tbsp. flour with liquid from casserole to make paste; then add to casserole, stirring until gravy is thickened. Simmer, covered, for 10 min. Add tomato puree, chopped celery and parsley. Stir and season with additional salt and pepper if desired. Serves 8 . Buttered noodles are nice with this, and I consider it fancy enough for company.
Another favorite company dish. I often do a completely Greek meal beginning with Dolmas as an appetizer, the stew, a Greek Tossed Salad and Baklava’ for Dessert.
Ingredients: 4 Tbsp. olive oil
3 lb. boneless beef chuck, cut into 2" cubes
1 cup Burgundy
1 cup beef broth
1 - 6 oz. can tomato paste
1/4 cup red wine vinegar
2 Tbsp. firmly packed light brown sugar
1 tsp. cumin
1 clove garlic, minced
1/2 tsp. allspice
1 bay leaf
Salt and Pepper
20 small white onions
1/2 lb. fresh mushrooms, trimmed and quartered
Place heavy Dutch Oven over moderate heat and add olive oil. When heated, add the meat and toss to coat but do not brown. Add the wine, broth, tomato paste, vinegar, sugar and spices. Bring to a boil Lower heat and simmer, covered for about 1 hour 30 minutes. In a saucepan, boil water, and blanch onions for one minute. Drain and peel. Add onions to the stew and simmer another 30 minutes. In a skillet, sauté mushrooms in 3 Tbsp. oil or butter for about 3 minutes. Add mushrooms to the stew. Remove bay leaf. Test beef for tenderness and when done, transfer to a heated serving dish. Serves 6 - 8. If I’m having a large crowd I serve the Party Pilaf with this. The family likes to sop up the wonderful gravy with French Bread.
While we’re in Greece, we may as well add another of Katina Xeros’ recipes. Moussaká is the Greek dish everyone knows about. It is a bit of work, but is easily prepared ahead and freezes well.
Ingredients: 1 1/2 lb. lean ground beef
2 finely chopped large onions
1/2 tsp. pepper
1 1/2 tsp. salt
2 cups tomato sauce chopped parsley
2 tsp. cinnamon
1/2 tsp. allspice
3 medium eggplant or the equivalent of eggplant and potato
4 eggs
2 cups milk
Approximately 1 lb. grated Romano cheese
Peel and slice eggplant about 1" thick. Soak in a bowl of cold salt water for 15 min. Drain and pat dry on paper towels. W/pastry brush, brush lightly with olive oil and place on cookie sheet. Broil until lightly brown on both sides - Drain on paper towels. Place chopped onion in cold skillet. Cover with ground beef and fry at moderate heat until meat juices are absorbed and onions are tender. Add tomato sauce and seasonings including parsley. Simmer until thickened. Butter a large baking pan (at least 9x13). Sprinkle bottom with a little grated cheese. Arrange a single layer of eggplant over cheese. Sprinkle with cheese. Top with a layer of meat sauce. Sprinkle with cheese. Continue layers finishing with layer of eggplant. Combine the 4 beaten eggs with 2 cups milk and a handful of grated cheese. Pour this mixture over the eggplant and sprinkle with grated cheese and a few dashes of nutmeg. Pierce the eggplant with a fork in a few places so that the sauce will go down. Bake in a preheated 375 oven for 20 - 30 min. or until knife inserted in center comes out clean. Serves 8 generously.
This dish can also be made using layers of cream sauce made with the Romano cheese. I find that version a bit rich for our tastes. Pistachio is another Greek dish which basically substitutes cooked, buttered macaroni for the eggplant. Since J.S. is not an eggplant fan, I have at times made 3/4 of the pan with eggplant and 1/4 with buttered macaroni. If you want a company dish of Pistachio, double the amount of ground beef in the recipe above; Toss 1 lb cooked macaroni with 3/4 cup butter and layer with a rich cream sauce of 8 Tbsp. flour, 4 cups milk, 1/2 cup butter, 4 - 6 egg yolks and the cheese.
John’s very favorite Italian dish. I buy the sausage at Al’s Import Groceries at Park Lane and Greenville. It is a very cluttered, funky store, but well worth the trip. The chef at the Mansion thinks so too as he buys his Italian Sausage from Al’s.
Ingredients: 1 lb. Sweet Italian Sausage
1 Tbsp. olive oil
1 large onion, chopped
3 large sweet peppers, diced ( get 1 ea. of green, yellow and red, if possible)
1 - 8 oz. can tomato puree
1 lemon cut in wedges
Sprinkle a heavy skillet with a thin layer of salt. Heat over high and add the sausage. I leave my piece whole, but you could cut it into serving sized pieces. Reduce heat to Medium and cook slowly until sausages are brown. Remove sausages and wipe out skillet. Heat olive oil in cleaned skillet. Add onions and peppers and cook over low heat, stirring occasionally. When onions are limp and yellow, add puree. Bring to a simmer. Add sausages and continue to cook until sausages and peppers are done. Serve over fresh cooked pasta with a squeeze of lemon and a grind of black pepper. Note: If you can’t get really good Italian sausage, you may need to add garlic or Italian herbs to this dish.
When John Stewart was living at home, he would happily eat spaghetti with meat sauce once a week, so when he left for college, he asked or my recipe. I wrote it out for him, and also gave him a baggie of oregano from my large supply. Later, I asked him how his first batch had turned out. He said it was a bit spicy, and when questioned, admitted he had put the whole bag full (about l/2 cup) in one batch.
Ingredients: 1 lb. lean ground beef
1 large onion, chopped
1 medium green pepper, chopped (optional)
1 large clove garlic, minced
1 can good tomato paste
3 cans hot water
1/4 cup Parmesan cheese, grated
1 tsp. Italian herbs (I like all oregano or half basil and half oregano)
Salt and Pepper to taste
1/2 cup red wine.
Put the chopped onion, green pepper and garlic in a large cold skillet.  Place skillet over moderate heat and cook until the vegetables are limp and the meat has lost its pink color. Add the tomato paste and the cheese and turn the heat to high. Cook, stirring and watching until you have scorched the sauce a little.  Now, add the 3 cans of hot water,the seasonings and the wine. Reduce heat and simmer for about one hour. Serve over fresh cooked pasta with more Parmesan Cheese and pass the pepper grinder.
I’m sure you all know how to make lasagna, but I learned a trick from John’s sister, Rosemary, that makes it much easier. She makes her cheese sauce with 16 oz. Ricotta (or small curd cottage cheese) 1 egg, 1 cup grated Parmesan, and 1/3 cup fresh chopped parsley. Stir these ingredients together and layer with cooked noodles, either of the above meat sauces and about a pound of shredded mozzarella.
Growing up on top of a mountain in Pennsylvania, was not exactly an ethnic adventure, but Dad did have an Armenian family on his mail route named Yesigan. My mother used to make a batch of this goulash in the summer when the gardens were producing all kinds of good vegetables. It has never tasted quite as good as it did then but it’s a nice dish for an informal supper.
Ingredients: 2 large Italian squash (at least 4" dia. if possible)
1 lb. ground beef
1/2 cup raw rice
1/2 cup chopped onion
1 tsp. salt tsp. pepper
1 - 1 lb. can whole tomatoes
1 - 8 oz. can tomato sauce
6 small onions, peeled
6 med. potatoes, peeled
6 med. carrots, peeled
2 bay leaves
Peel squash and cut in slices 1 1/2" thick. Remove seeds from center, leaving rings. Mix the ground bee, onion, rice, salt and pepper. Shape into balls and place in the center of the squash rings in the bottom of a large, heavy Dutch Oven or Roaster. Add the tomatoes, tomato sauce, raw vegetables and bay leaves. Bring to a boil. Lower heat and simmer for 1 - 1 1/2 hrs. Watch i carefully so that squash does not get mushy. Remove bay leaves. Season to taste with salt and pepper. Serves 6.
At home in Pennsylvania we ate really hearty breakfasts. Two of my favorites were Scrapple and Pancakes with Liverwurst. I can hear you saying Ugh” But for the truly adventurous, read on.
Ingredients: 3 - 4 lb. pork scraps (You can often find neck bones and they’re fine. If
you want to be extravagant, country ribs are great).
3 qts. water
1 Tbsp. salt
1/2 tsp. pepper
1/2 - 1 tsp. sage (optional)
2 -3/4 cups corn meal (yellow)
Cook the pork bones in the boiling water until the meat begins to fall from the bones. Remove from heat and cool.  Pick meat from bones and grind in food processor. Strain the broth and measure 2 quarts into a heavy kettle. Add the meat and the sage (if desired) and bring to a rapid boil. Mix the remaining l qt. broth with the corn meal and then add this mixture to the boiling broth a little at a time. Continue to cook, stirring constantly until thickened. Reduce heat to lowest setting (you may need to use an asbestos pad) and continue to cook, stirring often for about 30 min. Taste for seasonings and pour into 2 greased loaf pans. Cool, then cover with foil and chill overnight. This will keep for 7-10 days in the refrigerator. When ready to serve, cut in 1/2" slices, dredge in flour and brown over moderate heat in bacon fat or other drippings. John like applesauce with this, and sometimes an egg.
Mina Love was the wife of my Dad’s substitute mail carrier - a sturdy, no nonsense woman who was and is very dear to me. Her kitchen, with it’s huge wood-burning stove, always held a bounty of good food. She taught me a lot about life as well as good cooking.
Ingredients: 1 1/2 lb. pork liver
1/2 lb. salt pork, cubed
Salt and pepper to taste (lots of pepper)
Cook the meats in enough water to cover until tender. Put the meats through the food processor and then return to the broth. Season and pour into a refrigerator container. Mina always used bread pans because she had lots of them. To serve, place 1 1/2 cup of the liverwurst in a saucepan over low heat and heat until it looks like a thick gravy. Serve over hot pancakes. John turned green when I told him about this, but he loves it and he is not a liver eater.
We always made our own sauerkraut at home in Pennsylvania and butchered our own hogs. Actually butchering was a communal chore. All your neighbors would come to help you with your butchering and then we would help with theirs, etc. Nothing was wasted, hence the 2 previous recipes. I have all kinds of pork chop and sauerkraut recipes, but I discovered that a Crock Pot is easy and really the best way for those chops that are not good enough for gourmet treatment.
In bottom of Crock pot place 4 medium, pared potatoes. Over this slice one large onion. Add 4 large pork chops, 1 - 16 oz can sauerkraut, salt and pepper to taste and 1 Tbsp. caraway seeds. Cook at Low 6 to 8 hrs. or until chops are tender. Now, wasn’t that easy? If you want to go gourmet, my Winekraut recipe is under Vegetables.
This is one of Helen Corbett’s recipes, and a family favorite.
1 3-4 lb. boneless pork loin
Rub loin with salt, pepper, sage, and nutmeg. Brown on top of stove with a clove of crushed garlic.
Place in a baking pan and add: 1 cup chopped parsley, 1 cup chopped onion, 1 bay leaf and 2 cups red
wine
Bake at 350° about 2 hrs. turning twice. When done, add 1 cup canned beef consommé and bake 20 min. more. Slice and serve with the wonderful pan drippings. Ms. Corbett suggests glazed onions and oven browned potatoes with this, but I sort of like rice because it soaks up the gravy so well.

In a large Dutch Oven, heat oil over high heat. Dry chicken thoroughly and brown in hot oil, turning frequently. When all of chicken is browned, remove to a platter, and add the vegetables. Cook at medium, stirring frequently until vegetables are limp. Add ham, sausage and seasonings. Continue to cook, stirring for about 5 min. more. Add browned chicken, rice and water. Turn heat to high and bring to a boil. Reduce heat to low and continue to cook for about 45 min. stirring occasionally. During last 10 min., uncover pot and raise heat to medium if rice seems a bit soupy. I’m sure the original version of this dish calls for the Cajun sausage, Boudin, which is now available here in the Metroplex. I just use my favorite smoked sausage which happens to be Eckrich.
Ingredients: 1 lb. meatloaf mixture
1 small onion, finely chopped
1 cup fine dry bread crumbs
1 1/2 cup mils
1 egg, beaten
1/2 tsp ea. salt and pepper
8 oz blue cheese, cut in 1/2" cubes
6 Tbsp. butter
2 Tbsp. flour
1 cup chicken bouillon
1 cup sour cream
Combine meat, onion, crumbs; blend well. Stir in milk, egg and seasonings; beat until light with wooden spoon or electric. mixer. With wet hands pat 1/4 cup of meat around each cube of cheese. Shape into egg-like ovals. Brown slowly in butter. Remove to serving dish and keep warm. Stir the flour into the drippings and cook until golden. Add the bouillon. Stir and simmer until thick and smooth. Add sour cream and stir until sauce is heated through but do not boil. Serve meatballs with sauce poured over. A garnish of fresh parsley or fresh dill is nice. I like just plain boiled potatoes with this and red cabbage.


How it works
Twitch uses websockets for chat interaction and offers several http endpoints.
Validation
When you connect to websockets or use any http endpoint, the token you provided as a parameter in the "Usage" section is validated on Twitch servers. Validation occurs passively once an hour when needed as per the Twitch documentation, you don't have to do anything.
This validation step gives us a few additional parameters which become available on our instance making it easy to interact with services.
twitch.token; // token that was provided during instantiation
twitch.validatedAt; // time the token was validated
twitch.clientId; // your client id
twitch.login; // your username
twitch.userId; // your user id
If you want you can trigger validatation manually.
await twitch.validate();
// user information has been populated
await twitch.isValidated();
// user information was populated within the last hour or now is


Some lemmas about divisibility
File
SRC/chap7.v
contains some admitted lemmas about divisibility. Please replace the
Admitted
commands with complete proofs.
Solution
Look at
this file
Going home
Pierre Castéran


--- layout: post status: publish published: true title: The last jagged little pill author: display_name: Fabio Pereira login: admin email<EMAIL_ADDRESS>url: http://fabiopereira.me author_login: admin author_email<EMAIL_ADDRESS>author_url: http://fabiopereira.me wordpress_id: 42 wordpress_url: http://fabiopereira.me/blog/?p=42 date: '2008-11-17 22:01:12 +0' date_gmt: '2008-11-18 05:01:12 +0' categories: - Personal tags: [] comments: - id: 2195 author: Bharata Silvanus author_email<EMAIL_ADDRESS>author_url: http://onlinepokerhowto.biz date: '2009-06-19 07:25:24 +1000' date_gmt: '2009-06-19 14:25:24 +1000' content: Great stuff. Just started a site myself and this is good inspiration. ---
Last week I took the last pill from my Roaccutane treatment... At last...
Now I can have my glass of wine and also I can go to the beach... As you can see on the photo, now I can also get pregnant ... lol :)


Adds a column or columns to the grid.
addColumn([before], column)
| before |
string, field name of the column to add before (optional) |
| column |
object or array, column(s) to add |
Description
Adds a column or columns to the grid by adding items into .columns array
and refreshes the grid. The .addColumn() method does not return anything. The first optional argument
before is the field name of the column to insert before. If first parameter is not defined, the
column will be appended at the end. Second argument column is the column object or an array of column
column objects.
If you have following grid:
You can add columns by:


{% extends 'base.html' %} {% comment %} Copyright 2013, 2014 Ricardo Tubio-Pardavila 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. {% endcomment %} {% block content %} {% include 'users/users_index.html' %} {% endblock %} {% block content_footer %} {% endblock %} {% block toolbar_submenu %} {% if request.user.is_authenticated %}
{% endif %} {% endblock %}


APC Reacts To Death Of PDP Woman Leader In Kogi
by Olugbenga IgeThe All Progressives Congress (APC) has condoled with the family of the Peoples Democratic Party (PDP) woman leader in Kogi State, Salome Abuh, who was killed during the state governorship election.
Concise News reports that the spokesman of PDP Wada/Aro campaign council, Faruk Adejoh-Audu, had alleged that suspected APC thugs arrived at Abuh’s house at about 2:00pm on Monday and were shooting sporadically.
According to Adejoh-Audu, the thugs surrounded the house and blocked every exit from outside.
He said: “The Woman Leader of Wada Aro Campaign Council, Ochadamu Ward, Hon Mrs Acheju Abuh was this afternoon burnt alive in her home by jubilant Bello supporters and thugs said to be celebrating his victory.
“They then poured petrol on the building and set it ablaze as other terrorized villagers watched from hiding.”
He said Abuh reportedly attempted to escape through a window but was prevented by the metal burglar proof and gunshots fired in her direction.
Adejoh-Audu said the thugs waited and watched Abuh crying from inside the inferno until her voice died out, then left when the house and the victim were totally burnt.
He said there is no indication that the Kogi state police “will arrest her killers or even prevent further attacks and killings of our people”.
The PDP spokesman, however, called on the Inspector-General of Police to protect the people of the state.
However, in a statement on Wednesday issued by its National Publicity Secretary, Lanre Issa-Onilu, in Abuja, the APC condemned the post-election violence reported in the state and urged the Kogi people not to allow the violence to escalate.
“We are aware that Gov. Yahaya Bello has already directed law enforcement agencies to fish out the perpetrators.
“The APC abhors violence and other criminalities which, sadly, have continued to plague our electioneering process.
“We, however, urge people to see the election as a democratic contest and not a do-or-die and for which we should pay with our lives.
“We pray that the police arrest the culprits and the full weight of the law brought to bear on them.
“Also, President Muhammadu Buhari has urged those who are not happy with the results of the governorship elections in Kogi and Bayelsa to seek redress in court and shun violence.
“We must all heed this call,” Issa-Onilu said.


Added
Removed
${t.amount_taken}${t.amount_measure} on
${t.date_created|dateFormat}
Location: ${t.barcode}
/${t.coordinates}


System |
Data preparation |
Feature Engineering |
Included |
Handling missing values |
Outliers detection and deletion |
Data standardization |
Data reduction |
Data balancing |
PCA |
Included |
Integrated with modeling |
Automatic |
| Hyperopt-sklearn |
X |
- |
- |
X |
- |
- |
  |
X |
X |
- |
| Auto-sklearn |
X |
X |
  |
X |
  |
  |
X |
X |
X |
- |
| TPOT |
|
X |
- |
- |
- |
- |
X |
X |
X |
- |
| H2O AutoML |
X |
X |
- |
- |
- |
X |
|
- |
- |
- |
| SAS |
X |
X |
- |
- |
X |
- |
  |
- |
- |
- |
| MLBox |
X |
X |
- |
- |
- |
  |
  |
- |
- |
- |
| Google AutoML |
X |
X |
  |
- |
- |
  |
  |
X |
- |
X |
| Azure Machine Learning
|
X |
X |
  |
  |
  |
X |
X |
X |
- |
  |
| AutoKeras |
- |
- |
- |
- |
- |
- |
  |
- |
- |
- |


Creating two or more completely independent threads that run separately from each other is trivial. Just create two instances of the Interpreter, each with its own code, and alternate calling each interpreter's step function.
This demo illustrates the slightly harder problem of creating two threads that share the same global environment. This allows one to share functions and variables, as well as to communicate between threads.
Open your browser's console for errors.
| Thread #1 | Thread #2 |
Back to the JS-Interpreter documentation.


Elegantly designed with a timeless appeal, Fraser Suites Glasgow, in the Merchant City, offers luxury serviced apartments with comfortable, modern amenities.
Looking for a Luxury Hotel in Glasgow? Whether business or pleasure, ABode Glasgow is the perfect choice for those seeking Hotels in Central Glasgow.
Argyll Western Hotel is a 3 Star Hotel providing accommodation in Glasgow West End. We are near many popular landmarks, such as the Botanic Gardens, Glasgow University and SSE HYDRO.


{% extends 'new_home/new_base.html' %} {% load static %} {% block title %} Jagrati | Home {% endblock %} {% block style %} {% endblock %} {% block content %}
You must not lose faith in humanity. Humanity is an ocean; if a few drops of the ocean are dirty, the ocean does not become dirty.
Our vision is to promote education as a vehicle for rural development and provide it to students who cannot otherwise access or afford it. By empowering children with education, we want to make sure that they live out their potential even under adverse circumstances. And light the future of generations to come.
Our mission is to eradicate illiteracy from India. We are moving towards our mission by implementing this in IIIT Jabalpur, giving quality and value education to students of nearby villages. Our ultimate goal is to extend our helping hand to each and every needy in India and make a new India in the coming days.
{{initiative.description}}
We make a
living by what we get.
We make a life by what we give.
At Jagrati, we promote education
in villages and help these little kids to find their passion and shape their lives.