National shrine a possibility - Chieftaincy minister reveals
Government will not rule the possibility of building a national shrine for traditional worshippers, the Minister of Chieftaincy and Religious Affairs, Samuel Kofi Dzamesi has said.
According to him, some traditional groups have been canvassing for a national shrine and government will explore the possibility of constructing one.
“Since I took office, as I said, we have a national mosque and now we are in the process of building a national cathedral. And few times, some traditional groupings have also approached me. There was a group of Wulom?i [Ga Traditional Priests] who also approached me and actually asked for a traditional shrine,” he disclosed at the Meet the Press series Wednesday.
He continued: “I think that since the constitution allows freedom of worship, we will study it very well and see how possible that will also be. We are not ruling out traditional shrines”.
The minister also revealed plans to set up a charity commission to evaluate and audit the humanitarian activities of churches.
He noted the Commission will audit the activities of churches at the end of every year and ensure that they use their financial resources for their intended humanitarian purposes.
“What we intend doing is to set up what we call a charity commission whereby all churches will be registered so that at the end of the year, the commission will see to the work of the churches and see how they have used their resources for the betterment of their people. So a charity commission is the option and not taxes,” he said.


October 18th
October 18th
Reading
- Broadcast routing: Network laer provides a service of delivering a packet sent from a sourc node to all other nodes in the network.
- Multicast routing: Enables a single source node to send a copy of a packet to a subset of the other netowrk nodes.
- N-way-multicasting: Given N destination nodes, the source node simply makes N copies of hte packet, addresses each copy to a different destination, and then transmits the N copies to the N destinations using unicast routing.
- Drawbacks:
- Clearly more eficent to send only a single copy of a packet and have routers split and duplicate packets when necessary.
- More overhead needed, obtaining addresses, etc.
- Relies on unicast routing infastructre to achieve broadcast.
- Network graph G = (N,E). G = graph, N = nodes, E = edges.
- Flooding: Source node sends a copuy of the packet to all neighbors. When a node recieves a packet it duplicates and forwards it to all its neighbors.
- If the graph has cycles then packets will cycle indefinitely
- May result in a broadcast storm
- Broadcast storm: Packets create multipule copies of themselves as they get forwarded between nodes, eventually there is an endless multiplication of broadast packets.
- Sequence-number-controlled flooding: A source node puts its address (or other identifier) an a broadcast sequence number into a broadcast packet. Then the packet is sent to all neighbors. The nodes maintain a list of source addresses and sequence numbers of broadcast packets it already recived. When it gets a packet it checks if it is in the list. If it is then the packet is dropped.
- Broadcast sequence number: A number placed into a broadcast packet by the source node to help identify the packet for future nodes
- Reverse path forwarding (RPF): When a router receives a broadcast packet with a given source address it transmits the packet on all of its outgoing links, only if the packet on that link is on the shourtest unicast path back to the source.
- Doesn't use unicast to deliver to destination
- does not require router to know the complete shortest path from itself to source, just next neighbor on shortest path
- Spanning tree: A tree that contains each and every node in a graph. Part of graph G = (N,E) defined as G' = (N,E'), where E' is subset of E, G' contains no cycles, G' containse all the original nodes in G. Eliminates redundant broadcast packets.
- Minimum spanning tree: A spanning tree whose cost is the minimum of all the graph's spanning trees. (least amount of E').
- Center-based approach: Center node (rendezvous point/core) is defined. Nodes then unicast tree-join messages addressed to the center node. Forwarded until it either arrives at a node that belongs to the spanning tree, or the center node.
- Rendezvois point/core: Center node in a center-based approach to creating a spanning tree.
- Gnutela
- uses application-level broadcast for content among Gnutella peers
- TCP connection
- Identifier (16 bit), payload descriptior (16 bit) to identify packets so nodes can determine if they've already been recieved
- Time-to-live field, when it recieves a broadcast it decriments this before copying and broadcasting the packet
- Due to TTL field packet will only reach peers within a given number of hops from source. Called limited scope flooding
- Multicast: Multicast packets are delieverd onl to a subset of network nodes.
- Address indirection: Multicast packets can't hold the addresses of all the destinations as this would be too much. Instead use a single identifier for a group of receivers, packets with the identifier are copies and delivered to all the multicast receivers associated with that group. Class D multicast IP address.
- Multicast group: Group of receivers associated with a class D address (multicast identifier)
- Internet Group Management Protocol (IGMP)
- Operates between a host and its directly attached router.
- Allows host to inform attached router than an application running on the host wants to join a specific multicast group.
- Along with network-layer multicast routing algorithms allows coordination b/w multicast routers
- Three message types, in IP datagram with IP protocol number of 2
- Membership_query sent by router to all hosts on attached interface to determine the set of all multicast groups that are joined by hosts on that interface.
- Membership_report sent in response to membership_query. Also generated by a host when an application first joins a multicast group without witing for a membership_query from the router.
- leave_group optional. Can also be infered if host no longer replies to membership_queries
- soft state: The state is removed via a timeout event if it is not explicityly refreshed.
- Multicast routing problem: Only a subset of routers actually need to recieve the multicast traffic. Need to find a tree of links that connects all of the routers that have attached hosts belonging to the multicast group. Two approaches
- Multicast routing using a group-shared tree: Build a tree (like spanning tree) which includes all edge routers with attached hosts belonging to multicast group. Uses center-based approach with edge routers sending messages (muliticast routers) to send messages addressed to center node.
- Multicast routing using a source-based tree: Constructs a muliticast routing tree for /each/ source in the group. Uses modified RPF algorithm (involves pruning messages, that prevent messages being sent down dead end paths).
- Distance-vector multicast routing protocol (DVMRP): First multicast routing protocol. Uses source based trees with reverse path forwarding (RPF) and pruning.
- Protocol-independent multicast (PIM) routing protocol: Most widely used multicast protocol. Recognizes two multicast distribution scenarios.
- dense mode: Multicast routers are densely located (most of the routers in area needed to be involved in routing). Uses a flood-and-prune path forwarding technique (Like DVMRP).
- sparse mode: Number of routers with attached group members is small vs total number of routers. Uses rendezvous points to set up multicast distribution tree.
- Source-specific multicast (SSM): Only a single sender is allowed to send traffic into the multicast tree. Simplifies tree contruction.
Lecture
- Finite State Machine (FSM): An abstract machine that can be in only a finite number of states. A method for recognizing if a string belongs or does not belong to a regular language.
- Finite Automaton (FA): Same as FSM
- Regular language
- Regular expressions--expresses regular language. Used in search functions in many programming languages and text editors.
- FA = (Q, Σ (sigma), δ (Delta), q0, F). This is a Tuple~=(roughly the same as) a Vector
- Q = set of states
- Sigma = alphabet: set of symbols
- Delta = A transition function. δ(9,a)->9'
- q0 = Starting state.
- F = Set of final (accepting) states.
- Let A be a set: A = {1,2,3}Let B be a set: B = {a,b,c}What is A*B?
- {(1,a),(2,a),(3,a),(1,b),(2,b),(3,b),(1,c),(2,c),(3,c)}
- What is a relation?
- G = (V,E). This is a graph.
- V = verticies/nodes
- E = edges = subset of all possible pairs of vertices/nodes
- V * V = set of pair of vertices/nodes
- E is less than or equal to V * V
- Edges might be weighted
- Dijkstra's Algorithm
- At each stage, we will have:
- A set of verticies whose distance from the starting point is known. Subset of V.
- A set of verticies for which we have only estimates of distances from the starting point. Remainder of V (another subset)
- For each known vertex, we know preceding vertex on shortest path to that vertex (from starting point).
- While(there are still vertices whose distance from starting point is not yet known with certianty){
Add one more vertex to the set whose distance is known}
Lab


Welcome to the SWOT Clock
Suceptibility Windows Ontological Transcriptome Clock
There are # diseases currently in the database.
This is a visualization tool to create a SWOT Clock that illustrates the relationships between transcriptomes in a reference set. You can search our database of diseases or KEGG pathways or upload your own reference set.


PART II. AIR POLLUTION
[§342B-11] Prohibition. No person, including any public body, shall engage in any activity which causes air pollution or causes or allows the emission of any regulated air pollutant without first securing approval in writing from the director. [L 1992, c 240, pt of §1]


Immediately after the fire, Triangle owners Blanck and Harris declared in interviews that their building was fireproof, and that it had just been approved by the Department of Buildings. Yet the call for bringing those responsible to justice and reports that the doors of the factory were locked at the time of the fire prompted the District Attorney's office to seek an indictment against the owners. On April 11, a grand jury indicted Harris and Blanck on seven counts, charging them with manslaughter in the second degree under section 80 of the Labor Code, which mandated that doors should not be locked during working hours.
Justice?
On December 27, twenty-three days after the trial had started, a jury acquitted Blanck and Harris of any wrong doing. The task of the jurors had been to determine whether the owners knew that the doors were locked at the time of the fire.
Customarily, the only way out for workers at quitting time was through an opening on the Green Street side, where all pocketbooks were inspected to prevent stealing. Worker after worker testified to their inability to open the doors to their only viable escape route, the stairs to the Washington Place exit, because the Greene Street side stairs were completely engulfed by fire. More testimony supported this fact. Yet the brilliant defense attorney Max Steuer planted enough doubt in the jurors' minds to win a not-guilty verdict. Grieving families and much of the public felt that justice had not been done. "Justice!" they cried. "Where is justice?"
Twenty-three individual civil suits were brought against the owners of the Asch building. On March 11, 1914, three years after the fire, Harris and Blanck settled. They paid 75 dollars per life lost.
Harris and Blanck were to continue their defiant attitude toward the authorities. Just a few days after the fire, the new premises of their factory had been found not to be fireproof, without fire escapes, and without adequate exits.
In August of 1913, Max Blanck was charged with locking one of the doors of his factory during working hours. Brought to court, he was fined twenty dollars, and the judge apologized to him for the imposition.
In December of 1913, the interior of his factory was found to be littered with rubbish piled six feet high, with scraps kept in non-regulation, flammable wicker baskets. This time, instead of a court appearance and a fine, he was served a stern warning. The Triangle Waist Company was to cease operations in 1918, but the owners maintained throughout that their factory was a "model of cleanliness and sanitary conditions," and that it was "second to none in the country."


| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| AgentFactory
An interface for generating agents
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentType
This class specifies the type of agent a stochastic games agent can be.
|
| Class and Description |
|---|
| SGAgent
This abstract class defines the the shell code and interface for creating agents
that can make decisions in mutli-agent stochastic game worlds.
|
| SGAgentBase |
Copyright © 2019. All rights reserved.


{% extends "Scraper/base.html" %} {% block title %}{{ title }}{% endblock %} {% block content %}
Downloaded episodes are in bold. If the episode is downloaded, press it and then press play. You can download it on the device you are using after you press play (In the playing page, press "Download").
{{ debug_txt }}
{% endblock %}


Home
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Contact
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Additional Information
2016-2017 Events
Bell Schedule


Distance Driven this month
3542KM
Petrol Cost
Rs.75.05
Diesel Cost
Rs.69.11
Current State
New Delhi
Line Chart with Points


Position: (0.0000, 0.0000)
Car Horizontal Axis Angle: 90.0
Sensor Center Distance: 22.0000
Sensor Right Distance: 8.4853
Sensor Left Distance: 8.4853
Loss Rate: Null
Success!!
Failure...
Use the mouse to control the camera
Press Space/G to start motion
Press R to reset
Press A/D to control the steering wheel
Press ↑/↓/←/→ to adjust the position
Press 1/3 to switch camera
Press F to start fuzzy control system
Press G to start genetic algorithm
Press P to start particle swarm optimization


NOTE: This project is currently offline as we are doing maintenance,
You will not be able to access it until it is back online
About
The Trend Analyser project is a Twitter data gathering and processing project
that is being written as part of my 3rd year project at Southampton University.
Source Available
The source code to this application is available on
github


COMIC MeVisLab Viewer Demo
Got into console and type: fmeViewer.loadImage("/VESSEL12/datasets/mhd/VESSEL12_05.mhd") to load another dataset


---
layout: post
title: Regression
date: '2018-02-28T18:03:00.001-08:00'
author: daryoush
tags:
modified_time: '2018-02-28T18:03:40.833-08:00'
blogger_id: tag:blogger.com,1999:blog-5623577383635787454.post-4095561898544073638
blogger_orig_url: http://onfp.blogspot.com/2018/02/regression.html
---
I like this series of short lectures on Regression.
Statistical Regression


Autofs Puppet Module
Table of Contents
- Description - - What the module does and why it is useful
- Setup - The basics of getting started with Autofs
- Usage - Configuration options and additional functionality
- Reference - An under-the-hood peek at what the module is doing and how
- Limitations - OS compatibility, etc
- Development - Guide for contributing to the module
- Support - When you need help with this module
Description
The Autofs module is a Puppet module for managing the configuration of automount network file system. This is a global module designed to be used by any organization. This module assumes the use of Hiera to set variables and serve up configuration files.
Setup
The Module manages the following:
- Autofs package
- Autofs service
- Autofs Configuration File (/etc/auto.master)
- Autofs Map Files (i.e. /etc/auto.home)
Requirements
Usage
The module includes a single class:
include autofs
By default this installs and starts the autofs service with the default master file. No parameters exist yet, but are in active development to allow for more granular control.
To manage the service, use the following code in your profile:
class { 'autofs':
service_enable => false,
service_ensure => 'stopped'
}
Map Files
To setup the Autofs Map Files, there is a defined type that can be used:
autofs::mount { 'home':
mount => '/home',
mapfile => '/etc/auto.home',
mapcontents => ['* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'],
options => '--timeout=120',
order => 01
}
This will generate content in both the auto.master file and a new auto.home map file:
auto.master
/home /etc/auto.home --timeout=120
auto.home
* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares
The defined type requires all parameters, except direct and execute, to build the autofs config. The direct and execute parameters allow for the creation of indirect mounts, see the Parameters section for more information on the defaults for direct and execute.
In hiera, there's a autofs::mounts
class you can configure, for example:
---
autofs::mounts:
home:
mount: '/home'
mapfile: '/etc/auto.home'
mapcontents:
- '* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'
options: '--timeout=120'
order: 01
Direct Map /-
arugment
The autofs module also supports the use of the built in autofs /-
argument used with Direct Maps.
Examples:
Define:
autofs::mount { 'foo':
mount => '/-',
mapfile => '/etc/auto.foo',
mapcontents => ['/foo -o options /bar'],
options => '--timeout=120',
order => 01
}
Hiera:
---
autofs::mounts:
foo:
mount: '/-'
mapfile: '/etc/auto.foo'
mapcontents:
- '/foo -o options /bar'
options: '--timeout=120'
order: 01
Autofs +dir:
options
The autofs module now supports the use of the +dir:
option in the auto.master.
This option is 100% functional, but does require some work to simplify it.
Usage
Define:
autofs::mount { 'home':
mount => '/home',
mapfile => '/etc/auto.home',
mapcontents => ['* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'],
options => '--timeout=120',
order => 01,
use_dir => true
}
Hiera:
---
autofs::mounts:
home:
mount: '/home'
mapfile: '/etc/auto.home'
mapcontents:
- '* -user,rw,soft,intr,rsize=32768,wsize=32768,tcp,nfsvers=3,noacl server.example.com:/path/to/home/shares'
options: '--timeout=120'
order: 01
use_dir: true
Reference
Parameters
- mount_name - This is a logical, descriptive name for what what autofs will be
mounting. This is represented by the
home:
andtmp:
entries above. - mount - This Mapping describes where autofs will be mounting to. This map entry is referenced by concat as part of the generation of the /etc/auto.master file.
- mapfile - This Mapping describes the name and path of the autofs map file. This mapping is used in the auto.master generation, as well as generating the map file from the auto.map.erb template. This parameter is no longer required.
- mapcontent - This Mapping describes the folders that will be mounted, the mount options, and the path to the remote or local share to be mounted. Used in mapfile generation.
- options - This Mapping describes the auto.master options to use (if any) when mounting the automounts.
- order - This Mapping describes where in the auto.master file the entry will be placed. Order CANNOT be duplicated.
- master - This Parameter sets the path to the auto.master file. Defaults to
/etc/auto.master
. - map_dir - This Parameter sets the path to the Autofs configuration directory
for map files. Applies only to autofs 5.0.5 or later. Defaults to
/etc/auto.master.d
. - use_dir - This Parameter tells the module if it is going to use $map_dir.
Defaults to
false
. - direct - Boolean to allow for indirect map. Defaults to true to be backwards compatible.
- execute - Boolean to set the map to be executable. Defaults to false to be backward compatible.
- replace - Boolean to set the map file to not be replaced. Defaults to true as Puppet File resource does.
Limitations
Puppet platforms
Release 2.0.0 (and above) only support Puppet 4.x and Puppet Enterprise 2015.2.0 or newer
Puppet 3.x Compatibility
Puppet 3.x was End of Life starting January 1st, 2017, if Puppet 3.x functionality is still needed, please install using one of the following method:
git clone git@github.com:voxpupuli/puppet-autofs.git -b puppet3 <module_path>/autofs
Support for Puppet 3.x Functionality:
- No new features will be added to the puppet3 branch.
- No new deployments will be issued to the Puppet Forge.
Operating Systems
- Supported
- Ubuntu
- 14.04
- 16.04
- CentOS/RHEL/Scientific/Oracle Linux
- 6.x
- 7.x
- SLES
- 11 Service Pack 4
- 12 Service Pack 1
- OpenSUSE 13.1
- Debian
- 7 "Wheezy"
- 8 "Jessie"
- Ubuntu
- Self Support - should work, support not provided by developer
- Solaris 10, 11
- Fedora 24, 25
- SLES 10
- CentOS/RHEL/Scientific/Oracle Linux 5.x
- Unsupported
- Windows (Autofs not available)
- Mac OS X (Autofs Not Available)
Development
Please see the CONTRIBUTING.md file for instructions regarding development environments and testing.
Authors
- Vox Pupuli<EMAIL_ADDRESS>- David Hollinger: david.hollinger@moduletux.com


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--- layout: post title: "Linq to Sql and ASP.NET MVC - DataLoadOptions per Request" postId: 329 ---
This is the third in a series of posts on using ASP.NET MVC with Linq to Sql:
Code for this series is available here.
One common problem when using an ORM is the issue of "select n+1". For example, take the following Linq to Sql query:
var context = new BlogDataContext(); var posts = context.Posts; foreach(var post in posts) { foreach(var comment in post.Comments) { var commenter = comment.Commenter.Name; Console.WriteLine("User {0} commented on post {1}", commenter, post.Title); } }
This might look fine on the surface, but by default Linq to Sql will lazily-load all associations. This means that for each post loaded from the database Linq to Sql will issue a query to load the comments, and for each comment Linq to Sql will issue another query to load the commenter. So if you have 10 posts, and each post has 5 comments then you'll end up making 61 queries to the database (1 for the posts, 1 for each post to get the comments, and 1 for each comment to get the user)
This can be mitigated by using DataLoadOptions to eagerly load all of the data in a single query:
var context = new BlogDataContext(); var options = new DataLoadOptions(); options.LoadWith<Post>(p => p.Comments); options.LoadWith<Comment>(c => c.Commenter); context.LoadOptions = options; var posts = context.Posts; foreach(var post in posts) { //... }
However, once a query has been executed, the LoadOptions property of a DataContext is frozen - you cannot then specify any additional eager loading paths.*
If you're using a DataContext per request as per my previous post then this can be a problem. For example, imagine you have the following controller action:
public class PostsController : Controller { private BlogDataContext context; public PostsController(BlogDataContext context) { this.context = context; //injected via our IoC container } public ActionResult Show(int id) { var options = new DataLoadOptions(); options.LoadWith<Post>(p => p.Comments); options.LoadWith<Comment>(c => c.Commenter); context.LoadOptions = options; var post = context.Posts.Single(p => p.Id == id); return View(post); } }
...then this will work as expected. But now imagine your action is decorated by an ActionFilter:
[LoadCurrentUser] public ActionResult Show(int id) { //... }
...and let's assume that our LoadCurrentUser filter attempts to load the details of the current user from the database and store them in ViewData:
public class LoadCurrentUserAttribute : ActionFilterAttribute { public override void OnActionExecuting(ActionExecutingContext filterContext) { var context = ObjectFactory.GetInstance<BlogDataContext>(); var identity = filterContext.HttpContext.User.Identity; if (identity.IsAuthenticated) { var currentUser = context.Users.Single(x => x.UserName == identity.Name); filterContext.Controller.ViewData["CurrentUser"] = currentUser; } } }
Now when the controller is executed we will get the following error:
Setting load options is not allowed after results have been returned from a query.
This happens because we're trying to set the LoadOptions for the Post after the LoadCurrentUser filter already executed a query.
The approach I use to work around this problem is to use a custom AuthorizationFilter in conjunction with an eager loading specification.
First, we define an interface for eager loading specifications:
public interface IEagerLoadingSpecification { void Build(DataLoadOptions options); }
Next, we can write some classes that implement IEagerLoadingSpecification that define particular specifications for eager loading. Using the example above, we have PostWithComments and CommentWithCommenter:
public class PostWithComments : IEagerLoadingSpecification { public void Build(DataLoadOptions options) { options.LoadWith<Post>(p => p.Comments); } } public class CommentWithCommenter : IEagerLoadingSpecification { public void Build(DataLoadOptions options) { options.LoadWith<Comment>(c => c.Commenter); } }
Next, we write an EagerlyLoadAttribute which implements IAuthorizationFilter and takes an array of Types in its constructor:
public class EagerlyLoadAttribute : FilterAttribute, IAuthorizationFilter { private Type[] types; public EagerlyLoadAttribute(params Type[] types) { this.types = types; } public void OnAuthorization(AuthorizationContext filterContext) { var loadOptions = new DataLoadOptions(); var context = ObjectFactory.GetInstance<BlogDataContext>(); foreach(var type in types) { if(! typeof(IEagerLoadingSpecification).IsAssignableFrom(type)) { throw new InvalidOperationException(string.Format("Type {0} does not implement IEagerLoadingSpecification", type)); } var spec = (IEagerLoadingSpecification)Activator.CreateInstance(type); spec.Build(loadOptions); } context.LoadOptions = loadOptions; } }
So what does this filter do? Firstly, because it implements IAuthorizationFilter this means it will be invoked before any action filters that decorate your controller action. When OnAuthorization is invoked, it loops over each of the Types that we've passed to its constructor, instantiates them and casts them to IEagerLoadingSpecification. Next, a single DataLoadOptions instance is passed to each of the specifications in turn so they can build up the required eager loading paths.
The end result is that you can now define your actions like this:
[EagerlyLoad(typeof(PostWithComments), typeof(CommentWithCommenter))] [LoadCurrentUser] public ActionResult Show(int id) { var post = context.Posts.Single(p => p.Id == id); return View(post); }
Because the EagerlyLoadAttribute is an IAuthorizationFilter, it will be invoked before anything else meaning that by the time both our LoadCurrentUser filter and the Show action are invoked the DataLoadOptions have already been set on our DataContext.
* Note that other ORMs like NHibernate, LLBLGen and the Entity Framework don't have this problem because they allow eager loading paths to be specified at the query level.


API Reference for Profile Module¶
Note
The classes defined in this module do NOT provide drawing capabilities, so there is NO draw() nor paint()
method. Use other libraries like matplotlib to plot the data. But for your convenience, this package provides a
module for easy plotting using matplotlib. See, qksplot.mpl
-
class
qksplot.profile.
ProfileND
(dim: int, minBin: Sequence, maxBin: Sequence, nBins: Sequence, minValue: float = None, maxValue: float = None, title='')[source]¶ Profile histograms are used to compute the mean value of Y and its error for each bin in X.
For each bin we have:
- The mean of Y is the sum of all values in that bin divided by the number of entries per bin. - The error on X is the width of the bin divided by 2. - The error on Y is the standard deviation divided by the sqrt(number_of_entries_per_bin).
Parameters: - dim (int) – the number of dimensions of the profile
- minBin (array like) – an array containing the minimum value of lower edge of bins for each dimension.
- maxBin (array like) – an array containing the maximum value of upper edge of bins for each dimension.
- nBins (array like) – an array containing the number of bins for each dimension.
- title (string) – the title of the profile.
- minValue (float) – the minimum value accepted to fill a bin. the lowest value accepted on Y (vertical axis). This filter is not used when minValue is None
- maxValue (float) – the maximum value accepted to fill a bin. the highest value accepted on Y (vertical axis). This filter is not used when maxValue is None
-
fill
(*args, **kwargs) → int[source]¶ Fill the profile (using coordinate positions).
Parameters: - args (a list of parameters) – a list of positions on each dimension. The number of arguments must be the same as the number of dimensions. Or pass one argument as a sequence (same size as number of dimensions).
- kwargs – this dict can accept 2 key: weight (float) - the weight to fill in. Defaults to 1.0 value (float) - to specify the value to fill the cell. (Mandatory)
Returns: int. The index of the affected bin or -1 if no bin was found or the input values are not valid
-
fill_bins
(*args, **kwargs) → int[source]¶ Fill the histogram using bin indexes.
Parameters: args (a list of parameters) – - the bin indexes for each dimension. The number of arguments must be the same as
- the number of dimensions. Or pass one argument as a sequence (same size as number of dimensions).
- kwargs : this dict can accept 2 key:
- weight (float) - the weight to fill in. Defaults to 1.0 value (float) - to specify the value to fill the cell. (Mandatory)
Returns: - int. The index of the affected cell (global linear bin) or -1 if no cell was found or the input values
- -are not valid
See also
-
fill_cell
(i_cell: int, **kwargs) → int[source]¶ Fill the profile using global cell index.
Parameters: - i_cell (int) – the global bin index (cell index).
- kwargs (Dict) – currently this dict can accept 3 keys: weight (float) - the weight to fill in. Defaults to 1.0 error_per_bin(bool) - whether to compute weights per bins. Default is True value (float) - to specify the value to fill the cell. (Mandatory)
Warning
This is expensive operation because it computes the bins indexes (it decomposes cell index) and positions per axis before filling weights per bin. Its Recommended to use other fill_* methods
Returns: int. The index of the affected cell (global linear bin) or -1 if no cell was found or the input values are not valid (underflow or overflow) See also
-
fill_pos
(*args, **kwargs) → int[source]¶ Fill the profile using a position.
Parameters: - args (a list of parameters) – the positions on each dimension. The number of arguments must be the same as the number of dimensions. Or pass one argument as a sequence (same size as number of dimensions).
- kwargs – this dict can accept 2 key: weight (float) - the weight to fill in. Defaults to 1.0 value (float) - to specify the value to fill the cell. (Mandatory)
Returns: int. The index of the affected cell (global linear bin) or -1 if no cell was found or the input values are not valid
See also
-
get_cell_content
(i: int) → float[source]¶ Returns the content of the cell ‘i’
Parameters: i (int) – a valid cell index (aka global linear bin) Returns: float or 0.0 if the position is outside cells ranges
-
get_cell_content_error
(i: int) → float[source]¶ Returns the error value associated with cell ‘i’
The error on per cell is the standard deviation (in that cell) divided by the sqrt(number_of_entries_per_cell).
Parameters: i (int) – a valid cell index (aka global linear bin) Returns: float.
-
get_cells_contents
(includeEmptyBins=False) → List[float][source]¶ - Returns the contents of all bins (cells) per each dimension.
- By default it does not include empty cells.
Parameters: includeEmptyBins (bool) – if empty bins are included in the list. If True then empty bins are included, otherwise they are NOT included Returns: list of list.
-
get_cells_contents_errors
(includeEmptyBins=False) → List[float][source]¶ Returns a list containing the errors on the Y axis associated to each bin. By default it does not include empty bins.
The error on Y per bin is the standard deviation (in that bin) divided by the sqrt(number_of_entries_per_bin).
Parameters: includeEmptyBins (bool) – if empty bins are included in the list. If True then empty bins are included, otherwise they are NOT included Returns: list.
-
class
qksplot.profile.
Profile1D
(nBins: int, minBin: float, maxBin: float, minValue=None, maxValue=None, title='')[source]¶ A 1-Dimensional Profile
Parameters: - minBin (float) – the minimum value of lower edge of bins
- maxBin (float) – the maximum value of upper edge of bins
- nBins (integer) – the number of bins
- title (string) – the title of the histogram
-
class
qksplot.profile.
Profile2D
(nBinsX: int, minBinX: float, maxBinX: float, nBinsY: int, minBinY: float, maxBinY: float, minValue=None, maxValue=None, title='')[source]¶ A 2-Dimensional Profile
Parameters: - nBinsX (integer) – the number of bins on the X-axis
- minBinX (float) – the minimum value of lower edge of bins on the X-axis
- maxBinX (float) – the maximum value of upper edge of bins on the X-axis
- nBinsY (integer) – the number of bins on the Y-axis
- minBinY (float) – the minimum value of lower edge of bins on the Y-axis
- maxBinY (float) – the maximum value of upper edge of bins on the Y-axis
- title (string) – the title of the histogram


⇦
4
⇨
Render function decomposite to mover|loader for maximize performance. Difference in code only.


- Blog 2.0
- Regarding Questions
- Basic Thoughts on SQL Insertion
- Interpersonal Conflict
- Some Self Examination
- Javascript and Ruby
- Stereotype Threat
- Composition vs Inheritance
- My Experiences with Feedback
- Some Introductory Thoughts on Classes
- Notes on Cycle()
- A Problem in the Tech Industry
- Notes on Pairing
- Week Three and Thinking Styles
- Arrays and Hashes
- Classes vs. IDs
- Thoughts on Dev Bootcamp's Culture
- Hello World


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Fuel tanker catches fire near Menora Tunnel, cause congestion
IPOH, Nov 13 — A tanker carrying fuel caught fire at Km265 North-South Expressway (PLUS) (north-bound) before the Menora Tunnel this morning causing traffic congestion.
The Perak Fire and Rescue Department spokesman said they received a call about the incident at 11.16am today before dispatching machinery and firemen from Meru Raya fire station to the scene.
He said on arrival, they found that the tanker was 60 per cent burnt.
“Other than Meru Raya fire station, the fire-extinguishing operation was assisted by personnel and machinery from Kuala Kangsar and Ipoh fire station,” he said in a statement here today.
Meanwhile, a PLUS spokeswoman advised those heading to the north to use the alternative route by exiting at the Ipoh Selatan toll plaza as the traffic is currently congested quite heavily.
“For the northbound, PLUS has closed part of the road near the scene of the fire, while for the southbound the right lane was closed to facilitate the fire-extinguishing operation,” she told Bernama. — Bernama


Aidan is 8 years old today! His interests include Pokemon, playing football, coding games using Scratch and Hopscotch, legos, and playing Xbox. His favorite Pokemon is Ash-Girninja.
Emery is turning 4 years old next Wednesday! She loves Disney Princesses, playing dollhouse, drawing and coloring, getting dressed up, painting her nails, and especially putting together puzzles. Her favorite princess is Moana (depending on the day).


Hyundai Tucson Preview Concept Looks Big and Bold in Los Angeles
by Mihnea RaduWhile you'd expect Toyota to be the only big player in the hybrid crossover market, the Korean automakers have a strong game as well. Hyundai made this clear at the 2019 Los Angeles Auto Show with not only an updated Ioniq, but also this, the Vision T concept, which previews next year's all-new Tucson.
We know the concept is a plug-in hybrid, but the power and range are unclear. If current models are anything to go by, we can expect about 50 mpg combined and an EV range of about 30 miles. As in the case of the Sonata, the internal combustion engine will be a 2-liter making 150 hp, while the total system output will be around 200 ponies.
There's no shortage of direct rivals or ones which are expected to come out within the next year. The big ones are the RAV4 and CR-V plug-in models, though Ford is cooking an electrified Escape too. So does the Tucson stand a chance?
If the concept is anything go by, then yes, it does. Based on our previous spy shots, this futuristic styling will be carried over almost unchanged to the production model. Of course, the real deal won't have such a coupe shape and door mirrors will obviously be added. But the improvement over the old model will be obvious. The Tucson might also make other Hyundai models look outdated, even the Sonata sedan.
This CUV should also be bigger than before, about 5 inches longer and 4 wider, based on the proportions of the concept. Of course, the PHEV will have limited appeal, only available in certain states. So along with a normal hybrid, there should be a 2.5-liter base engine, perhaps a 1.6 T-GDI for an eco model with a double-clutch transmission.
European and Asia markets will have a variety of other systems, including a compressed natural gas version and the obvious diesel. 🏁


Relay-based Solenoid
What is it?
A solenoid that is controlled by a relay. It controls a pneumatic cylinder to create linear motion.
Properties
Output Channel (Relay)
The relay port on the roboRIO that this solenoid is plugged into.
See Also
Wikipedia


BBQGopher Team was created by the fine folks on the #bbq channel of Gopher Slack. Anyone is free to join the community, please note that the BBQGopher Team follows the same Code of Conduct put forth by the Go Team. Be Nice. Play Nice. BBQ Nice. Big thank you to @RuixRicardo for the creation of the BBQ Gopher.


Monkee-Boy Web Design, Inc. is looking for a Digital Project Manager who can lead and manage multiple web design and development projects and ensure that overall project goals and objectives are met within project scope and timelines.
The Digital Project Manager will collaborate and work closely with our project team to refine existing processes as well as adapt and develop new processes as needed.
Ideal candidates will be college graduates with 4+ years of experience working in a web/creative agency with a range of clients (from small businesses to enterprise level corporations). Candidates should be very comfortable handling conflict resolution (not that it happens that often), being the single point of contact for projects, and running meetings and conference calls with clients.
Candidates should also have a thorough understanding of web browsers, web design best practices, modern web development capabilities, SEO, and digital marketing. You should not always have to "get back to clients" after checking with other team members.
This position will be a full-time position. The candidate will be competitively compensated based on work experience, demonstration of success, and other intangibles they bring to the table. They will be able to participate in all employee incentive programs.
The ability to evaluate the breadth of client requests and their level of complexity in order to determine how they fit within project scopes will be essential to excelling in this position.
Each of the below will get you a +1 with us.
With a name like Monkee-Boy, what else would you expect?


I graduated from the Ecole Centrale Lyon in 2012. Recruited through the Orange Graduate Program in october of the same year, I began my career working as an engineer in the telecommunication field for Orange. I am now presales technical engineer at Orange Business Services.
Presales technical engineer:
Technical support of the sales engineer on complex solutions (networks, XoIP, IT, …) dedicated to businesses and institutions.
Drafting replies to calls for tender in French and English.
IT and SDWAN referent for the team:
In-depth knowledge of Orange IT offers, involvement in the launch of new offers, training workshop for the team,
and commercial support for pilot customers.
Other work experiences on this position:
· Cross-functional project: Improvement of the business efficiency of replies to calls for tender.
· Shaker: Work on a genY related subject defined by Orange France Executives.
· Oz program: Contribution to this project dedicated to promote innovation at Orange.
· #SuperCodeur coach: Conduct of coding initiation workshop aimed for children on Scratch.
Manager of the team "Customer Relationship Management":
Management of ten IT experts in charge of internal software releases and incident management at a national
level (more than 10 000 users) following ITIL principles. Team meetings conducting, daily activities monitoring,
employees’ development, and new team members recruitment.
IT project manager for "RTLog":
Roadmap formulation (objectives, costs, planning, ROI) and project management for RTLog,
a real-time log centralization and visualization platform.
Other work experiences on this position:
· Community Manager on Plazza : Creation of two communities (more than 400 members each), blog posts,
events planning, and organisation of training workshops about Orange's corporate social network.
· The Small Factory : Eight months training program in creative thinking and intrapreneurship,
then pitch of the team project in front of Orange France Executives.
· Hackathon of DTSI : Prototyping of ten ideas suggested by Orange employees.
· ACSED : Member of the Technological Survey, Strategy and Digital Development Commission.
Engineer in charge of fibre optic network performance in the Ile-de-France region:
Reporting for Orange executives of Paris area, leader of a weekly steering committee, work on data quality, production modelling,
budget forecast (over 150 million euros of annual budget), and a four months crisis management with daily meetings in 2013.
Engineer in charge of fibre optic network deployment process:
Support for operational actors in the five operational units of Paris area, continuous improvement of processes and
collaboration with national fibre experts.
Other work experiences on this position:
· Orange Welcome Program: One month in an Orange shop (reception, advices, basic sales…).
· Orange African Social Venture Prize: Review committee member.
IT Consultant:
In-depth study of ToIP innovations for businesses and international deployment, and Project Management Office
(planning, reporting) on a major project for the French Postal Bank.
Engineer:
Developer on two projects: Coding of a web app to interact with Google and prototyping of a client’s website new design.
Project leader:
Customer relation and project management for two clients: SNCF and Management School of Lyon.
Quality manager:
Controls of legal compliance of client files of Central Conseil, the Junior Enterprise of Ecole Centrale Lyon, a company led by
students with a turnover of 63,000€.
Certification in three MOOC:
Online videos, exercises and tests about: smart cities, 4G networks and finite groups.
Two training programs in management:
Meetings facilitation, crisis management, employee development, various case studies…
Master’s level courses:
One semester exchange program with four courses in IT: computer science, software engineering, design and innovation strategy.
Engineer’s degree:
Three-year courses based master’s degree in multidisciplinary engineering with majors in IT (computer science and telecommunications)
and Business development.
President of the robot club in 2011: Creation of a robot from scratch (involving mechanics, electronics and programming)
in order to take part in the robotics French cup.
Preparatory classes:
Two years of intensive courses in Maths, Physics and Chemistry in preparation for selective entrance exams to “Grandes Ecoles”
(the French engineering universities).
Baccalaureate degree:
Equivalent of A-levels in Maths, Physics and Chemistry with highest distinction.


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Copyright © 2011-2012 Opscode, Inc. All Rights Reserved.
Authors: Seth Falcon (seth@opscode.com), Christopher Brown (cb@opscode.com).
chef_time_utils - helpers for converting between http and erlang time
This file is provided to you 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.| canonical_time/1 | Convert a string or binary HTTP request time to iso8601 format. |
| time_in_bounds/2 | Check if a time, expressed as an ISO8601 string is equal to the current time, within a given Skew interval. |
| time_in_bounds/3 | Check if two times are equal within a given Skew interval. |
| time_iso8601/1 | Converts Erlang time-tuple to iso8601 formatted date string. |
| time_iso8601_to_date_time/1 | Convert an iso8601 time string to Erlang date time representation. |
canonical_time(T::string() | binary()) -> iso8601_time()
Convert a string or binary HTTP request time to iso8601 format
time_in_bounds(ReqTime::undefined | string() | binary(), Skew::time_skew()) -> boolean() | invalid_reqtime
Check if a time, expressed as an ISO8601 string is equal to the current time, within a given Skew interval.
Returns invalid_reqtime if the ISO8601 time can't be parsedtime_in_bounds(T1::erlang_time(), T2::erlang_time(), Skew::time_skew()) -> boolean()
Check if two times are equal within a given Skew interval.
time_iso8601(X1::erlang_time() | now) -> binary()
Converts Erlang time-tuple to iso8601 formatted date string.
Example output looks like<<"2003-12-13T18:30:02Z">>
time_iso8601_to_date_time(ATime::string() | binary()) -> erlang_time()
Convert an iso8601 time string to Erlang date time representation.
Generated by EDoc, Jul 9 2014, 00:12:49.


Currency Exchanger
Input desired amount of USD to be exchanged
Choose a currency
Vietnamese Dong
Tanzanian Shilling
Thai Baht
New Zealand Dollar
Japanese Yen
Show Exchange Rate


= (undirected) |
Default configuration. Makes input term match synonym term and vice versa. |
-> (directed) |
Makes only synonym term match for input term. |
$1 placeholder |
Can be used with a directed synonym in combination with * Wildcard. See Input Matching. |
Increases or decreases document ranking matching a specific term, e.g.:
UP(10): Altersteilzeit
, or DOWN(500): englische Übersetzung
.
Can be combined with native Solr field syntax. See FILTER RULE.
Filter exclusively documents matching a specific term or totally remove them completely.
When term is prefixed with *
, native Solr field syntax can be used, e.g.:
* price:[350 TO 450]
, * microline1:Vertrag
, or -vertrag
.
Delete rules allow you to remove keywords from a query.
"personal computer" |
Only match the exact query 'personal computer'. |
"personal computer |
Only match queries starting with 'personal computer' |
personal computer" |
Only match queries ending with 'personal computer' |
urlaubs* |
Wildcard matching of queries starting with 'urlaubs' (e.g. 'urlaubsgeld' or 'urlaubszeit'). Can be combined with $1 placeholder in a directed synonym (e.g. urlaub $1 ).WARNING: Only works in combination with a directed (not undirected) synonym! |
For more information refer to detailled documentation of querqy (common rules rewriter) .
Spelling rules are using the querqy replace rewriter to overwrite the input term.
Following rules can be used to replace the input term:
| Spelling | Alternative | Description | |
|---|---|---|---|
| simple rule | mobile | ombile |
ombile => mobile Simple replacement of the alternative with the spelling |
| prefix rule | cheap | cheap* |
cheap* => cheap Can be used to generalize spellings (e.g. cheapest pants => cheap pants). Just one suffix rule is allowed per spelling. |
| suffix rule | phone | *phones |
*sale => sale Can be used to generalize spellings (e.g. smartphone => phone). Just one suffix rule is allowed per spelling. |
| wildcards | computer $1 | computer* |
computer* => computer $1 Can be used to generalize and split spellings (e.g. computertable => computer table). Just one suffix rule is allowed per spelling. |
For more information refer to detailled documentation of querqy (replace rewriter) .


Tools for running experiments both as applications or as applets.
The class ExRun
creates a panel with action buttons
for starting and stopping experiments. The panel may be added to a
frame which controls the panel. Experiments may either be run within
the given frame or may be run full screen. The panel created by
ExRun
may also be controlled by an applet.
The class ExRunCommand
is a command line driven
controller which may be used to start experiments from within batch
files. It accepts several command line options including option -j
which can be used to create a java source file froman experimental
design. Such a design file may be compiled and can itself be run as an
application.
The ExRun class exposes the following methods to the public:
public ExRun(ExRunController ctrl)
is the constructor of the
class.
public void setDisplayPanel(DisplayPanel dp)
,
public void removeDisplayPanel()
,
public DisplayPanel getDisplayPanel()
,
public void open()
,
public void close()
are the DisplayPanelContainer
implementation.
public Frame getFrame()
,
public void stopSession()
are the DisplayPanelController implementation.
public void setExDesign(ExDesign exd)
overrides the
respective declaration in PXLabApplicationPanel.
public void actionPerformed(ActionEvent e)
implements the action bar's action listener.
public void experimentFinished()
is the
ExDesignThreadStarter implementation.
To start an experiment we need an ExDesign object with a valid design tree. The ExDesign's RuntimeContext must be valid. EditableExDesign objects create a valid RuntimeContext on instantiation. General ExDesign objects need an explicit RuntimeContext validation. The ExRun application does that whenever a new ExDesign is set:
public void setExDesign(ExDesign exd) { exDesign = exd; exDesign.validateRuntimeContext(); }
An ExDesign object needs two objects to run an experimental session:
The ExDesign object does not execute the session, block, or trial display lists by itself. It simply sends the respective design nodes and display lists to the ExDesignProcessor which executes them. This makes it possible to use different kinds of ExDesignProcessors. The ProtocolExDesignProcessor does not show any displays but only prints a protocol of the design nodes. The DefaultExDesignProcessor runs displays on a screen. A SimulationExDesignProcessor can simulate subject responses.
To create a DefaultExDesignProcessor we need a DisplayPanelContainer with a RealTimeDisplayPanel. Here is how these may be instantiated:
fullScreenWindow = new FullScreenDisplayPanelContainer(this); fullScreenWindow.setDisplayPanel(new RealTimeDisplayPanel());Having a DisplayPanelContainer we can instantiate a DefaultExDesignProcessor, a DataWriter and tell the ExDesign object to start the experiment:
exDesign.runExperiment(this, new DefaultExDesignProcessor(fullScreenWindow, new NoDataWriter());In this case we use the NoDataWriter subclass of DataWriter. This DataWriter throws away all data. Other subclasses of DataWriter can write the data to a text file (TextFileDataWriter) or send the data to a given URL (URLDataWriter). The first argument to runExperiment() is the ExDesignThreadStarter object which started the experiment. A reference to this object is needed by the session running thread in order to signal when the session has been finished.
When an ExDesign object gets a runExperiment() message then it does not directly send any messages to the ExDesignProcessor. The ExDesign object first creates a new thread whose only task it is to run the session. The reason why it is necessary to execute the experiment in its own thread is this: The runExperiment() message of an ExDesign will usually be executed from within the event handling thread. This is because it will be the result of some button being pressed. However, most experiments will collect subject responses and will go into wait states to wait for these responses. Waiting is done by suspending the executing thread. If the running thread is the event handling thread and this thread is suspended then no events are handled and the program will never get any response event. Thus the ExDesign creates a thread and starts it:
ExRunThread exRunThread = new ExRunThread("ExDesignRun", threadStarter); exRunThread.start();The ExRunThread class remembers the starter and has a very simple run() method:
public void run() { runSession(); threadStarter.experimentFinished(); }It calls the ExDesign's runSession() method and runs the session. When the session is finished it sends the thread starter object a experimentFinished() message.


Creates a checkbox group.
This example has not been styled.
Another way to write forms is to use the tag - the form fields are then put inside table cells.
name - the name of the checkboxes / input tags
values - which checkboxes should be checked when the page loads (comma-separated list or array reference)
label - a text associated with the entire checkbox group
labelClass - extra class for the label
focus [0] - should this checkbox group receive focus when the page loads? (At most one focused field per page)
display - must be one of {inline, block} - if the checkboxes should be displayed on the same row (inline) or one checkbox
per line (block). In the CSS example below the default is set to block (last rule).
rule - a rule that must be obeyed (see the )
ruleMsg - the text that will be displayed to the user in case the rule wasn't obeyed
content - checkbox tags
value - the value of the checkbox - same as the value attribute of the generated input tag.
label - a text associated with this particular checkbox
labelClass - extra class for the label
accesskey
checked [0] - same as the "value" attribute of the checkboxGroup tag
lineBreakAfter [0] - adds a line break after the checkbox (if "display" is "inline")
id - by default a concatenation of the name and value will be used as the ID
In order to look good, for example together with multiple fields or other radio button or checkbox groups,
the HTML output by checkboxGroup and checkbox tags must be styled with CSS, or the tag could be used.
See the tag for example CSS.
The "checkbox" tag can only exist inside a "checkboxGroup" tag.
See also , and .


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/(Group.20action.20of).20SL(n).20in.20mathlib.html ---
Hi! I want to take quotients modulo the action of SL(n)
on some structure, but I can't find anything about SL(n)
or matrix inverses in mathlib. Am I overlooking something, or is this missing from mathlib?
@Rob Lewis just said in person that it is indeed not formalized yet. Follow-up question: what would be the best way to define inverses?
Since mathlib typically defines partial operations by defining a total function and assuming the relevant preconditions in the theorems about this operation, my guess would be to start with pseudoinverses and then show that these are true inverses if the determinant is invertible, right?
I think there are a lot of different types of pseudoinverse. It would be desirable for the inverse function to return a left inverse if it exists and a right inverse if it exists for rectangular matrices.
The pseudoinverse I was thinking of is apparently called the Moore-Penrose inverse. IIRC, it is also the left or right inverse if only one of them exists.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


|
Equals Equals is a new kind of hackathon meant to introduce and expose underrepresented minorities to careers in technology and technology entrepreneurship. It's kind of like a design sprint and a hackathon had a baby, and it's name was Equals Equals. |
Community and inclusion breeds innovation, excitement, and motivation to solve some pretty tough problems. |
Our hope is that this event will not only get underrepresented groups excited about technology and it's capabilities, but also about the impact it can have on the issues and communities that they are most passionate about. |
EqualsEquals was founded by our benevolent ruler Sean:
Here's our official schedule for the 2018 EqualsEquals hackathon event:
| 9am | Sign In/Registration |
| 10am | Opening Ceremony |
| 11am | Coding Basics - Chidi Udeze |
| 12pm | Lunch |
| 1pm | Zuri Hunter - Being a DC Tech Professional |
| 2pm | AR Demo - Soumya Pattanayak and Brian McDevitt |
| 3pm | Building Twitter Bots - Tami Olafunmiloye |
| 4pm | Intro to Networking - Luis Pavon |
| 5pm | Machine Learning with Python - Brian Servia |
| 6pm | Dinner |
| 7pm | Hacking Ends Soon |
| 8pm | Closing Ceremony and Awards |
| 9pm | End of Event |
* subject to change


To-do List
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Hover the mouse over the item you wish to interact and click to mark it as done or click the delete icon to delete the item
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Three amazing Lambda School students came together to make one awesome website. Check out their profiles and see what else they've been working on.


Methods summary
public static
|
#
initialize( string $appId, string $appKey, string $appMasterKey )
Initialize application key and settings
Initialize application key and settings
Parameters
- $appId
- Application ID
- $appKey
- Application key
- $appMasterKey
- Application master key
|
public static
|
#
setApiTimeout( integer $seconds )
Set a deadline for requests to complete.
Set a deadline for requests to complete.
Note that file upload requests are not affected.
Parameters
|
public static
string
|
#
getVersionString( )
Get version string used as user agent
Get version string used as user agent
Returns
string
|
public static
|
#
useRegion( mixed $region )
Set API region
See LeanCloud\Region for available regions.
Parameters
|
public static
|
|
public static
|
#
setDebug( boolean $flag )
Set debug mode
Enable debug mode to log request params and response.
Parameters
|
public static
|
|
public static
|
#
setServerUrl( string $url )
Set server url
Explicitly set server url with which this client will communicate.
Url shall be in the form of: https://api.leancloud.cn .
Parameters
|
public static
string
|
#
getAPIEndPoint( )
Get API Endpoint
The returned endpoint will include version string.
For example: https://api.leancloud.cn/1.1 .
Returns
string
|
public static
boolean
|
#
verifySign( string $appId, string $sign )
Verify app ID and sign
The sign must be in the format of "{md5sum},{timestamp}[,master]",
which follows the format as in header "X-LC-Sign".
Parameters
- $appId
- App Id
- $sign
- Request sign
Returns
boolean
|
public static
boolean
|
#
verifyKey( string $appId, string $key )
Verify app ID and key
The key shall be in format of "{key}[,master]", it will be verified
as master key if master suffix present.
Parameters
- $appId
- App Id
- $key
- App key or master key
Returns
boolean
|
public static
string
|
#
signHook( string $hookName, integer $msec )
Generate a sign used to auth hook invocation on LeanEngine
Generate a sign used to auth hook invocation on LeanEngine
Parameters
- $hookName
- E.g. "__before_for_Object"
- $msec
- Timestamap in microseconds
Returns
string
|
public static
boolean
|
#
verifyHookSign( string $hookName, string $sign )
Verify a signed hook
Parameters
Returns
boolean
|
public static
array
|
#
request( string $method, string $path, array $data, string $sessionToken = null, array $headers = array(), boolean $useMasterKey = null )
Issue request to LeanCloud
Issue request to LeanCloud
The data is passing in as an associative array, which will be encoded
into JSON if the content-type header is "application/json", or
be appended to url as query string if it's GET request.
The optional headers do have higher precedence, if provided it
will overwrite the items in default headers.
Parameters
- $method
- GET, POST, PUT, DELETE
- $path
- Request path (without version string)
- $data
- Payload data
- $sessionToken
- Session token of a User
- $headers
- Optional headers
- $useMasterKey
- Use master key or not
Returns
array JSON decoded associative array
Throws
RuntimeException, CloudException
|
public static
array
|
#
get( string $path, array $data = null, string $sessionToken = null, array $headers = array(), boolean $useMasterKey = null )
Issue GET request to LeanCloud
Issue GET request to LeanCloud
Parameters
- $path
- Request path (without version string)
- $data
- Payload data
- $sessionToken
- Session token of a User
- $headers
- Optional headers
- $useMasterKey
- Use master key or not
Returns
array JSON decoded associated array
See
self::request()
|
public static
array
|
#
post( string $path, array $data, string $sessionToken = null, array $headers = array(), boolean $useMasterKey = null )
Issue POST request to LeanCloud
Issue POST request to LeanCloud
Parameters
- $path
- Request path (without version string)
- $data
- Payload data
- $sessionToken
- Session token of a User
- $headers
- Optional headers
- $useMasterKey
- Use master key or not, optional
Returns
array JSON decoded associated array
See
self::request()
|
public static
array
|
#
put( string $path, array $data, string $sessionToken = null, array $headers = array(), boolean $useMasterKey = null )
Issue PUT request to LeanCloud
Issue PUT request to LeanCloud
Parameters
- $path
- Request path (without version string)
- $data
- Payload data
- $sessionToken
- Session token of a User
- $headers
- Optional headers
- $useMasterKey
- Use master key or not, optional
Returns
array JSON decoded associated array
See
self::request()
|
public static
array
|
#
delete( string $path, string $sessionToken = null, array $headers = array(), boolean $useMasterKey = null )
Issue DELETE request to LeanCloud
Issue DELETE request to LeanCloud
Parameters
- $path
- Request path (without version string)
- $sessionToken
- Session token of a User
- $headers
- Optional headers
- $useMasterKey
- Use master key or not, optional
Returns
array JSON decoded associated array
See
self::request()
|
public static
array
|
#
batch( array $requests, string $sessionToken = null, array $headers = array(), boolean $useMasterKey = null )
Issue a batch request
Parameters
- $requests
- Array of requests in batch op
- $sessionToken
- Session token of a User
- $headers
- Optional headers
- $useMasterKey
- Use master key or not, optional
Returns
array JSON decoded associated array
See
self::request()
|
public static
mixed
|
#
encode( mixed $value, string $encoder = null, array $seen = array() )
Recursively encode value as JSON representation
Recursively encode value as JSON representation
By default LeanObject will be encoded as pointer, though
$encoder could be provided to encode to customized type, such
as full __type annotated json object. The $encoder must be
name of instance method of object.
To avoid infinite loop in the case of circular object
references, previously seen objects ($seen ) are encoded
in pointer, even a customized encoder was provided.
$obj = new TestObject();
$obj->set("owner", $user);
Client::encode($obj, "toFullJSON");
Client::encode($obj, "toJSON");
Parameters
- $value
- $encoder
- Object encoder name, e.g.: getPointer, toJSON
- $seen
- Array of Object that has been traversed
Returns
mixed
|
public static
string
|
#
formatDate( DateTime $date )
Format date according to LeanCloud spec.
Format date according to LeanCloud spec.
Parameters
Returns
string
|
public static
mixed
|
#
decode( mixed $value, string $key )
Decode value from LeanCloud response.
Decode value from LeanCloud response.
Parameters
- $value
- Value to decode
- $key
- Field key for the value
Returns
mixed
|
public static
LeanCloud\Storage\IStorage
|
|
public static
|
|
public static
float
|
#
randomFloat( float $min = 0, float $max = 1 )
Generate a random float between [$min, $max)
Generate a random float between [$min, $max)
Parameters
Returns
float
|


A DataUdpSocket class with integrated camera of type PreviewCamera. Provide an easy way to send video on a private network.
More...
|
| | UdpPreviewCamera (int width, int height) |
| | Constructor that create the Camera and the socket (inheritance). As for simple camera constructor, resolution could be set. More...
|
| |
| async Task | Start () |
| | Start camera capture. More...
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| |
| void | BindData (byte[] data, int packet_size) |
| | Set attributes for coresponding to new data More...
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| |
| | BaseUdpSocket () |
| | Constructor that create the UDP socket make it ready to receive More...
|
| |
| bool | IsConnected () |
| | Indicate if socket is connected to a distant host. More...
|
| |
| void | Send (string s) |
| | Send a message to host. More...
|
| |
| void | Send (byte b) |
| | Send a message to host. More...
|
| |
| void | Send (byte[] b, int start, int len) |
| | Send a message to host. More...
|
| |
| void | Send (byte[] b) |
| | Send a message to host. The byte array is fully sended. More...
|
| |
| async Task | SendAsync (byte[] sequence, int start, int size) |
| | Send a message to host using asynchronous method. More...
|
| |
| async Task | SendAsync (byte[] sequence) |
| | Send a message to host using asynchronous method. The byte array is fully sended. More...
|
| |
| async Task< bool > | Connect (string host, string port) |
| | Try to connect a distant host. Awaitable. More...
|
| |
| async Task | AwaitDisconnection () |
| | Awaitable method that indicate when socket is disconnected. More...
|
| |
| bool | Close () |
| | Close the connection to distant host. Indicate if the operation works by returning boolean. It work as well if the socket is not connected (and return true). More...
|
| |
A DataUdpSocket class with integrated camera of type PreviewCamera. Provide an easy way to send video on a private network.


This is my first website. Some of my hobbies are playing basketball, producing music and striking a pose. Wait til you see my dab!


I have added a Pie Chart to the following tools:
- View Delegatees: https://steemyy.com/delegatees/
- View Delegators: https://steemyy.com/delegators/
Example:
As usual: this update has also been applied to the Chinese versions:
- View Delegatees: https://steemyy.com/list-of-delegatees/
- View Delegators: https://steemyy.com/list-of-delegators/
The Charting library is based on ChartJs https://chartjs.org
A pie chart let you see the percentage of the delegation easily e.g. who is your biggest supporter (by amount of SP delegated to you)
I hope this helps!
Steem On!~
If you like my work, please consider voting for me, thanks!
https://steemit.com/~witnesses type in justyy and click VOTE
Alternatively, you could proxy to me if you are too lazy to vote!
Also: you can vote me at the tool I made: https://steemyy.com/witness-voting/?witness=justyy
Visit me at: https://steemyy.com
This page is synchronized from the post: ‘Tool Update: Adding Pie Chart to Delegation Tool’


{% extends 'base.html' %} {% block title %}{{ chat.starter.username }} and {{ chat.recipient.username }} dialog{% endblock %} {% block content %}
This conversation has not been replied yet


| Rendering Engine | Browser | Platforms | Engine Version | CSS Grade |
|---|---|---|---|---|
| Trident | Internet Explorer 5.5 | Win 95+ | 5.5 | A |
| Presto | Internet Explorer 6 | Win 98+ | 6 | A |
| Gecko | Internet Explorer 7 | Win XP SP2+ | 7 | A |
| Webkit | Internet Explorer 5.5 | Win 95+ | 5.5 | A |
| Edge | Internet Explorer 5.5 | Win 95+ | 5.5 | A |
by: Rose Fay Orcullo
Everyone realizes why a new common language would be desirable. To achieve this, it would be necessary to have uniform grammar.
by: Rolando Paloso
Everyone realizes why a new common language would be desirable. To achieve this, it would be necessary to have uniform grammar.
by: Richard Salomon
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.
Best check yo self, you're not looking too good. Nulla vitae elit libero, a pharetra augue. Praesent commodo cursus magna.
You can update a chart periodically to get a real-time effect by using a timer to insert the new data in the plot and redraw it.
Rose Fay Orcullo
Everyone realizes why a new common language would be desirable. To achieve this, it would be necessary to have uniform grammar.
Rowella Sombrio
If several languages coalesce, the grammar of the resulting language is more simple and regular.
Justin Mellejor
It will be as simple as Occidental; in fact, it will be Occidental. To an English person, it will seem like simplified.
Raffy Godinez
It will be as simple as Occidental; in fact, it will be Occidental. To an English person, it will seem like simplified.


| Week | Topic | Summary | Homework | Reading |
|---|---|---|---|---|
| 1 | Hi week 1 | Summary | Homework 1 | Reading list 1 |
| 2 | Hi week 2 | Heres an example of what we talked about today, lets just make this a long sentence so we can get a grasp of how the table will wor | Homework 2 | reading list 2 |
| 3 | Hi week 3 | Heres an example of what we talked about today, lets just make this a long sentence so we can get a grasp of how the table will wor | Homework 3 | reading list 3 |
| 4 |
We analyzed the hardware design for our parallel bubble sort, and here were some of those numbers.
|
|
Next time: We will be looking into the question, can you compile a program into a design like this
|
|
| 5 |
|
Heres an example of what we talked about today, lets just make this a long sentence so we can get a grasp of how the table will work |
Consider the equation below that describes the triangular computation of the bubble sort: X[i,j] = max(X[i-1, j], Y[i,j-1]) Y[i,j] = max(X[i-1, j], Y[i,j-1]) There are the usual special boundary conditions: at j=0, the bottom input is taken from the input array a_i, and on the diagonal boundary (i.e., where i=j+1) the “left” input is actually the Y value from the “southwest” point. The output of the whole computation is the X output of the rightmost column, plus the Y output of the top vertex [n-1,n-2]. Draw out the graph of this computation and then answer the following questions:
|
reading list 5 |
| 6 | Task 1: Kat Moore<EMAIL_ADDRESS>90 mins: [Hands On] With a partner of your choice, install the roofline toolkit, and gather the parameters and roofline plot for (i) one of the department machines in CSB 325 (named after fish, see http://www.cs.colostate.edu/~ |
|||
| 7 |
CS295 - Week 7 Notes (Jess Cobb)
115 GFLOPS/sec – theoretical? (CPU), 90 GFLOPS/sec – practical? (CPU) visit www.cs.colostate.edu/~info/cuda-faq.html Dimensional Analysis → GFLOPS/sec = flops/cycle x cycles/sec x cores x sockets we know: flops/cycle; frequency (cycles/sec); # cores; # sockets Numerical Application → flops/cycle (operations per cycle) = either 4x4x2 for DP per core or 4x8x2 for SP per core; # cores = 6; # sockets = 1; frequency = 3.6 GHz Double Precision (DP) → 64 bits, 8 byte (for operations on doubles) Single Precision (SP) → 32 bits, 4 byte (for operations on integers) AVX2 256bit data/8 → 32 bytes → DP (4(ALUs per core)x4) / SP(4x8) FMA 32 bytes → DP(4x4)/SP(4x8)
Theoretical = 345.6 GFLOPS/sec
/proc/meminfo dmidecode → all three are options to find out info. computer internals Memory in fish machines: DDR4 2400; 2400 is frequency (MHz) - also need to know # occupied RAM slots and bandwidth (i.e. bytes/transfer and == 8) Gbytes/s = frequency x # slots x bandwidth → 2.4 x 4 x 8 = 76.8 Gbytes/s, then divided by 2because fish machines have 2 slots filled Broadwell microarchitecture states max. slot # is 4 Performing Roofline again:
Hands on: see either CS475 F17 Lab1 or CS475 F16 Lab1 & Lab2 #pragma omp parallel … (in mandelbrot.c) – distributes workload over cores using a for loop, workload is distributed based on N divided by # cores
|
Homework |
||
| 8 |
See GPU Optimization Fundamentals slides – Cliff Woodley Separate into GPU, CPU, and FPGA groups in the coming weeks GPUs __global__ tells system to run program on GPU
CUDA
a,b → number of threads running on GPU and how they are organized
Roofline - 1 IPC (instruction count) because only 1 FP (floating point) unit in the Nvidia chip 128 cores/processors x 10 processors x 1 IPC x 1.86 cycles/sec = 238.0 Gflops/sdeviceQuery → Gbytes/sec = 192.18 GB/sec for i for k for j x-axis = Flops/byte → Flops/byte = C[i][j] += A[i][k] * B[i][k] + B[j][k] * A[j][k]
for i, for j, for k → offers performance improvements a. hardware prefetching
Tiling
syr2k
| homework |
||
| 9 |
Problem to be solved: Triangular matrix multiplication (TMM) Four problems we can be working on in Triangular matrix multiplication
Microbenchmarks - Develop benchmarks that “saturate” various hardware resources
modify your code so that one of these resources are saturated Self organize into 5 potential projects
Triangular matrix multiplication
data type |_D_|_TR__|_MM_| D – double or S – single precision … TR – two digits like TR or GE … MM – identify the function MM is matrix multiplication , SV…
HW FIGURE OUT TOTAL COMPLEXITY of triangular matrix computation (also think about what happens when you multiply two lower triangle matrices (not hw)) Make sure you have your github set up we are targeting 2k sized matrices , in normal range for both normal GPU and normal CPU CUBLAS is a library that implements BLAS operations in CUDA There is a reference guide available here for BLAS routines. : http://www.netlib.org/blas/blasqr.pdf |
|
We will talk about our project here
Kat Moore
Drew Boston
Luke Burford
Sean Thunquest
Susanna Kyler
Alexander Undy
Jess Cobb
Logan Relph
Shihao Huang
Thomas Sciano
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Vero odio fugiat voluptatem dolor, provident officiis, id iusto! Obcaecati incidunt, qui nihil beatae magnam et repudiandae ipsa exercitationem, in, quo totam.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Vero odio fugiat voluptatem dolor, provident officiis, id iusto! Obcaecati incidunt, qui nihil beatae magnam et repudiandae ipsa exercitationem, in, quo totam.


idle
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Arbitrum Testnet Bridge
1. Switch to Kovan Test Network
2. Connect Wallet
Your Balance:
-
deposit ETH


World Para Athletics Championships: Two Indians win gold, silver with world records in javelin
by PTIDUBAI: Indian duo of Sandeep Chaudhary and Sumit created world records on way to their gold and silver medals respectively in the F64 javelin event of the World Para Athletics Championships on Friday.
Sandeep hurled the javelin to a distance of 66.18m to better his own world record of 65.80m in F44 category, while Sumit sent the spear to a distance of 62.88m to clinch the silver and better his own F64 world record of 60.45m.
The F44 and F64 were clubbed into one combined event in this World Championships. The world records are, however, counted according to the classification of the athletes.
Roman Novak of Ukraine, a F44 athlete, took the bronze with a best throw of 57.36m.
The F44 category athletes have leg amputations or reduced function in one or both legs, and they compete without a prosthesis.
The F64 category athletes have limb deficiency and leg length difference, and they compete with prosthesis.


Odd Knobs #1 - compact size demo from Chi Ha Ucciso Il Conte on Vimeo.
Odd Knobs #1 - big size demo from Chi Ha Ucciso Il Conte on Vimeo.
Odd Knobs #1
The Odd Knobs project is a project to explore possibilities hidden behind the most basic and common interface for synthetizers and many other instruments and objects: knobs
The research focused on the idea of designing a tactile image that users could recognize not just seeing them with their eyes, but also by touching.
The results of the research are a set of 5 knobs with 5 different main shapes, and there is a big version and a compact version, so that their application is very versatile
The possibilities are however endless, and it is possible to design knobs within a huge range of shapes and dimensions
The Odd Knobs are an ideal solution for situations where the performer cannot keep a visual contact with the interface, for non-seeing people that want to have a deeper overview on instruments and interfaces, and for those who wants to give a sharper look to theyr synthetizer
you can order some Odd Knobs here (compact size) and here here (Large size)
The design of the "Odd Knobs #1" is registered on Patamu with license no 113062


MALENA
Reviewed by Harvey Karten Miramax Films Director: Giuseppe Tornatore Writer: Giuseppe Tornatore, story by Luciano Vincenzoni Cast: Monica Bellucci, Giuseppe, Sulfaro, Luciano Federico, Matilde Piana, Pietro Notarianni
This one's addressed to the men...when you were in high school, did you have fantasies about women who were about your own age, in your own class for example, or did you fancy women who were a decade or so older than you? We're told that nowadays teens consider anyone more than ten years older than they are to be over the hill, not worth considering as real people. Stereotype this may be: But another convention is that European men actually prefer women to be considerably older, or at least they do not consider age a barrier to a good relationship. This may have been particularly true before the sixties, and indeed if you watch Giuseppe Tornatore's new movie "Malena," which he adapted for the screen from Luciano Vincenzoni's story, you get the impression that the young Sicilian guys of the early 1940s in one particular medium-sized town drooled exclusively over the 27-year-old Malena Scordia (Monica Bellucci). Maybe one or two teen-aged women make appearances in the film, just briefly, but for Tornatore's purposes there is only desirable female in the entire municipality.
Soaking his movie in the obligatory brown hue which is the way warm climes situated in the past are photographed, Tornatore uses Renato Amoroso (Giuseppe Sulfaro) as his spokesman. Renato is a lad lucky enough to own a bike during a critical time that just about everything was in short supply. He joins a gang--which in those days meant not a group that indulged in pot or coke or crime or basketball, but whose raison d'etre was dribbling over one particularly comely individual. Malena, daughter of the deaf Professor Bonsignore who is the teacher of the young men, is married to a man who is at the front and reported dead. Though Malena at first appears to be untouchable, gossip quickly spreads that she has been involved in several affairs--with the town's lawyer, its dentist, and ultimately the German officers who take up occupation in the town in 1943. When the war ends, the women of the town take near-biblical revenge on the object of their long-term envy, while young Renato feels helpless to protect her form the enraged and mostly homely lynch mob.
Tornatore's magnum opus was "Cinema Paradiso," about the love of a young boy for the movie theater in his small Italian town during the late forties--a warm tribute to the art of the film. "Malena" by contrast is an overly simple tale highlighting a woman who has so few lines that we know little of her motivations or her very character. Perhaps her silence, her seeming obliviousness to the stares she receives from literally everyone she passes on the cobblestoned Sicilian streets, gives her the aura of mystery that informs the boys' wet dreams. But with Renato's looking consistently soulful (in fact in downright psychic pain) throughout--unless he is actually being physically tormented by his cartoonish parents (Luciano Federico and Matilde Piana), we in the audience are simply starved for stimuli. Nor does the film's derivativeness help. Take another look at Robert Mulligan's "Summer of '42," the 1971 movie about a teen with a crush on a young war bride (played by Jennifer O'Neill) which also captures the flavor of the 1940s and possesses a delightful Michel Legrand score.
Rated R. Running time: 105 minutes. (C) 2000 by Harvey Karten<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% extends "pathways/snippets/question.html" %} {% load i18n %} {% load static %} {% block question %}
{% blocktrans %} You indicated you are not a City of Buffalo resident. Only city residents are serviced by Buffalo Water. {% endblocktrans %}
{% blocktrans %} If you live in Erie County outside of Buffalo, you are served by the Erie County Water Authority {% endblocktrans %}


|
MRSL Motion Primitive Library
1.0
A motion primitive library for generating trajectory for mobile robots
|
#include <state_space.h>
Public Member Functions | |
| StateSpace (decimal_t eps=1) | |
| Simple constructor. | |
| void | getSubStateSpace (int time_step) |
| Get the subtree. More... | |
| vec_E< Primitive< Dim > > | increaseCost (std::vector< std::pair< Key, int >> states, const std::shared_ptr< env_base< Dim >> &ENV) |
| Increase the cost of actions. | |
| vec_E< Primitive< Dim > > | decreaseCost (std::vector< std::pair< Key, int >> states, const std::shared_ptr< env_base< Dim >> &ENV) |
| Decrease the cost of actions. | |
| void | updateNode (StatePtr< Coord > &currNode_ptr) |
| Update the node in the graph. | |
| decimal_t | calculateKey (const StatePtr< Coord > &node) |
| Calculate the fval as min(rhs, g) + h. | |
| bool | isBlocked () |
| Check if the trajectory is blocked by new obstacle. | |
| void | checkValidation (const hashMap< Coord > &hm) |
| Internal function to check if the graph is valid. | |
| void | updateGoal (std::shared_ptr< env_base< Dim >> &ENV, const Coord &goal) |
| Update goal. More... | |
Public Attributes | |
| priorityQueue< State< Coord > > | pq_ |
| Priority queue, open set. | |
| hashMap< Coord > | hm_ |
| Hashmap, stores all the nodes. | |
| decimal_t | eps_ |
| Heuristic weight, default as 1. | |
| decimal_t | dt_ |
| Execution time for each primitive. | |
| vec_E< StatePtr< Coord > > | best_child_ |
| The best trajectory from previous plan. | |
| decimal_t | max_t_ = std::numeric_limits<decimal_t>::infinity() |
| Maximum time of the valid trajectories. | |
| int | expand_iteration_ = 0 |
| Number of expansion iteration. | |
State space.
|
inline |
Get the subtree.
| time_step | indicates the root of the subtree (best_child_[time_step]) |
| void MPL::StateSpace< Dim, Coord >::updateGoal | ( | std::shared_ptr< env_base< Dim >> & | ENV, |
| const Coord & | goal | ||
| ) |
Update goal.
| ENV | pointer of `env_base' class |
| goal | if changed, use new goal to calculate heuristic |


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geo Class
Computational geometry algorithms, is a static class
Item Index
Methods
- createPlane
- distance2PointToPlane
- distancePointToPlane
- extractPlanes
- frustumTestBox
- frustumTestSphere
- project2DPointOnLine
- projectPointOnLine
- projectPointOnPlane
- reflectPointInPlane
- testBBoxBBox
- testPoint2DInPolygon
- testPointBBox
- testRayBBox
- testRayBox
- testRayCylinder
- testRayPlane
- testRaySphere
- testSegmentPlane
- testSphereBBox
Methods
createPlane
-
P
-
N
Returns a float4 containing the info about a plane with normal N and that passes through point P
Parameters:
-
P
Vec3 -
N
Vec3
Returns:
plane values
distance2PointToPlane
-
point
-
plane
Computes the square distance between the point and the plane
Parameters:
-
point
Vec3 -
plane
Vec4
Returns:
distance*distance
distancePointToPlane
-
point
-
plane
Computes the distance between the point and the plane
Parameters:
-
point
Vec3 -
plane
Vec4
Returns:
distance
extractPlanes
-
viewprojection
extract frustum planes given a view-projection matrix
Parameters:
-
viewprojection
Mat4matrix
Returns:
returns all 6 planes in a float32array[24]
frustumTestBox
-
planes
-
boundindbox
test a BBox against the frustum
Parameters:
-
planes
Float32Arrayfrustum planes
-
boundindbox
BBoxin BBox format
Returns:
CLIP_INSIDE, CLIP_OVERLAP, CLIP_OUTSIDE
frustumTestSphere
-
center
-
radius
test a Sphere against the frustum
Parameters:
-
center
Vec3sphere center
-
radius
Numbersphere radius
Returns:
CLIP_INSIDE, CLIP_OVERLAP, CLIP_OUTSIDE
project2DPointOnLine
-
P
-
A
-
B
-
result
Projects a 2D point on a 2D line
Parameters:
-
P
Vec2 -
A
Vec2line start
-
B
Vec2line end
-
result
Vec2to store result (optional)
Returns:
projectec point
projectPointOnLine
-
P
-
A
-
B
-
result
Projects a 3D point on a 3D line
Parameters:
-
P
Vec3 -
A
Vec3line start
-
B
Vec3line end
-
result
Vec3to store result (optional)
Returns:
projectec point
projectPointOnPlane
-
point
-
P
-
N
-
result
Projects point on plane
Parameters:
-
point
Vec3 -
P
Vec3plane point
-
N
Vec3plane normal
-
result
Vec3to store result (optional)
Returns:
projectec point
reflectPointInPlane
-
point
-
P
-
N
Finds the reflected point over a plane (useful for reflecting camera position when rendering reflections)
Parameters:
-
point
Vec3point to reflect
-
P
Vec3point where the plane passes
-
N
Vec3normal of the plane
Returns:
reflected point
testBBoxBBox
-
a
-
b
test if a BBox overlaps another BBox
Returns:
true if it overlaps
testPoint2DInPolygon
-
poly
-
point
test if a 2d point is inside a 2d polygon
Parameters:
-
poly
Arrayarray of 2d points
-
point
Vec2
Returns:
true if it is inside
testPointBBox
-
point
-
bbox
test if a 3d point is inside a BBox
Parameters:
-
point
Vec3 -
bbox
BBox
Returns:
true if it is inside
testRayBBox
-
origin
-
direction
-
box
-
model
-
result
test a ray bounding-box collision, it uses the BBox class and allows to use non-axis aligned bbox
Parameters:
-
origin
Vec3ray origin
-
direction
Vec3ray direction
-
box
BBoxin BBox format
-
model
Mat4transformation of the BBox [optional]
-
result
Vec3collision position in world space unless in_local is true
Returns:
returns if the ray collides the box
testRayBox
-
start
-
direction
-
minB
-
maxB
-
result
test a ray bounding-box collision and retrieves the collision point, the BB must be Axis Aligned
Parameters:
-
start
Vec3ray start
-
direction
Vec3ray direction
-
minB
Vec3minimum position of the bounding box
-
maxB
Vec3maximim position of the bounding box
-
result
Vec3collision position
Returns:
returns if the ray collides the box
testRayCylinder
-
start
-
direction
-
p
-
q
-
r
-
result
test a ray cylinder collision (only vertical cylinders) and retrieves the collision point [not fully tested]
Parameters:
-
start
Vec3ray start
-
direction
Vec3ray direction
-
p
Vec3center of the cylinder
-
q
Numberheight of the cylinder
-
r
Numberradius of the cylinder
-
result
Vec3collision position
Returns:
returns if the ray collides the cylinder
testRayPlane
-
start
-
direction
-
P
-
N
-
result
test a ray plane collision and retrieves the collision point
Parameters:
-
start
Vec3ray start
-
direction
Vec3ray direction
-
P
Vec3point where the plane passes
-
N
Vec3normal of the plane
-
result
Vec3collision position
Returns:
returns if the ray collides the plane or the ray is parallel to the plane
testRaySphere
-
start
-
direction
-
center
-
radius
-
result
-
max_dist
test a ray sphere collision and retrieves the collision point
Parameters:
-
start
Vec3ray start
-
direction
Vec3ray direction (normalized)
-
center
Vec3center of the sphere
-
radius
Numberradius of the sphere
-
result
Vec3[optional] collision position
-
max_dist
Numbernot fully tested
Returns:
returns if the ray collides the sphere
testSegmentPlane
-
start
-
end
-
P
-
N
-
result
test collision between segment and plane and retrieves the collision point
Parameters:
-
start
Vec3segment start
-
end
Vec3segment end
-
P
Vec3point where the plane passes
-
N
Vec3normal of the plane
-
result
Vec3collision position
Returns:
returns if the segment collides the plane or it is parallel to the plane
testSphereBBox
-
point
-
radius
-
bounding_box
test if a sphere overlaps a BBox
Parameters:
-
point
Vec3 -
radius
Float -
bounding_box
BBox
Returns:
true if it overlaps


A day on Venus lasts longer than a year.
It takes 243 Earth days to rotate once on its axis (sidereal day). The planet’s orbit around the Sun takes 225 Earth days, compared to the Earth’s 365. A day on the surface of Venus (solar day) takes 117 Earth days.
Venus rotates in the opposite direction to most other planets.
This means that Venus is rotating in the opposite direction to the Sun, this is also know as a retrograde rotation. A possible reason might be a collision in the past with an asteroid or other object that caused the planet to alter its rotational path. It also differs from most other planets in our solar system by having no natural satellites.
Venus is the second brightest object in the night sky.
Only the Moon is brighter. With a magnitude of between -3.8 to -4.6 Venus is so bright it can be seen during daytime on a clear day.
Atmospheric pressure on Venus is 92 times greater than the Earth’s.
While its size and mass are similar to Earth, the small asteroids are crushed when entering its atmosphere, meaning no small craters lie on the surface of the planet. The pressure felt by a human on the surface would be equivalent to that experienced deep beneath the sea on Earth.
Venus is often called the Earth’s sister planet.
The Earth and Venus are very similar in size with only a 638 km difference in diameter, Venus having 81.5% of the Earth’s mass. Both also have a central core, a molten mantle and a crust.
Venus is also known as the Morning Star and the Evening Star.
Early civilisations thought Venus was two different bodies, called Phosphorus and Hesperus by the Greeks, and Lucifer and Vesper by the Romans. This is because when its orbit around the Sun overtakes Earth’s orbit, it changes from being visible after sunset to being visible before sunrise. Mayan astronomers made detailed observations of Venus as early as 650 AD.
Venus is the hottest planet in our solar system.
The average surface temperature is 462 °C, and because Venus does not tilt on its axis, there is no seasonal variation. The dense atmosphere of around 96.5 percent carbon dioxide traps heat and causes a greenhouse effect.
A detailed study of Venus finished in 2015.
In 2006, the Venus Express space craft was sent into orbit around Venus by the European Space Agency, and sent back information about the planet. Originally planned to last five hundred Earth days, the mission was extended several times before the craft was finally deorbited in 2015. More than 1,000 volcanoes or volcanic centres larger than 20 km have been found on the surface of Venus.
The Russians sent the first mission to Venus.
The Venera 1 space probe was launched in 1961, but lost contact with base. The USA also lost their first probe to Venus, Mariner 1, although Mariner 2 was able to take measurements of the planet in 1962. The Soviet Union’s Venera 3 was the first man-made craft to land on Venus in 1966.
At one point it was thought Venus might be a tropical paradise.
The dense clouds of sulphuric acid surrounding Venus make it impossible to view its surface from outside its atmosphere. It was only when radio mapping was developed in the 1960s that scientists were able to observe and measure the extreme temperatures and hostile environment. It is thought Venus did once have oceans but these evaporated as the planets temperature increased.


{% extends "base.html" %} {% block title %}Activation complete{% endblock %} {% block content %}
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