Choose two algorithms to watch them "race" each other, or choose one just to watch it go!
MazeRace compares algorithms such as Breadth First Search, A*, Best First Search, and Depth First Search. Maze Race is inspired by Pathfinder.js
It shows a visual representation of how the algorithms work. It also shows those algorithms happening side-by-side for a visual comparison. Like Pathfinder.js, Maze race has a grid where a start and end point can be placed. Walls can also be placed that the search algorithms will have to go around when searching for the endpoint.
Users can create the maze by setting the start/end positions and placing walls on a grid. Then they can choose from the algorithm options and watch how the maze gets solved, and compare the algorithms with each other.
When the user presses "Start" the grid is duplicated and side-by-side grids are displayed. Each step lights up the square actively being searched on each grid based on the algorithms being used. A square remains lit up until one of it's children squares is searched so the perimeter that has been searched will be lit up. When the end is found a line will be rendered to show the path from the start point to the end point.
One thing to keep in mind is that in MazeRace it is only considered one step to get from a square to it's neighbor regardless of whether the neighbor is diagonal from the square or not. This leads to paths that are considred equal lengths even though one may technically be longer due to diagonal movement.
In a Breadth First Search, we start by processing the starting node (in the context of Maze Race, nodes are squares) and getting it's neighbors.
We check each of it's neighbors to see if they are the target (or ending square), if they are we return that target and then trace the path from it back to the starting node. If we don't find the target we add each of the neighbors to the queue and then we start the process over taking the node from the queue that has been in there the longest (this is known as "First In First Out") and processing it the same way as the starting node.
We continue this process until we find the target or the queue is empty. This method ensures if we do find the target, we found the shortest path to it also as it was the first path we found while checking every possible path.
To be able to trace the path back to the starting node, we set the parent of each of a node's neighbors to the node itself. Then to trace the path from the target we simply follow it's the parent of each node until we reach the starting node.
In a Depth First Search, we start by processing the starting node (in the context of Maze Race, nodes are squares) and getting it's neighbors.
We check each of it's neighbors to see if they are the target (or ending square), if they are we return that target and then trace the path from it back to the starting node. If we don't find the target we add each of the neighbors to the stack and then we start the process over taking the node from the stack that was most recently added, this is known as "Last In First Out."
We contiue this process until we find the target or the queue is empty. This method does not return the shortest path as it just keeps checking neighbors of the last node added until it reaches the target. It is not an effective algorithm to solve a maze.
To be able to trace the path back to the starting node, we set the parent of each of a node's neighbors to the node itself. Then to trace the path from the target we simply follow it's the parent of each node until we reach the starting node.
In a Best First Search, we start by processing the starting node (in the context of Maze Race, nodes are squares) and getting it's neighbors.
We check each of it's neighbors to see if they are the target (ending square), if they are we return that target and then trace the path from it back to the starting node. If we don't find the target we add each of the neighbors to the store and then we start the process over taking the node that is closest to the target. In Maze Race closeness is calculated as the distance between the square and the target.
To optimize grabbing the square closest to the target each time we use a priority queue (implemented using a heap). With the priority queue grabbing the item closest to the end square is done in O(log n) time, and inserting items into the store also takes O(log n) time.
This is a vast improvement over the O(n) (linear) time that would be used if we had to iterate through the store each time to find the closest square.
We contiue this process until we find the target or the queue is empty. This method does not necessarily return the shortest path, just the quickest to find.
To be able to trace the path back to the starting node, we set the parent of each of a node's neighbors to the node itself. Then to trace the path from the target we simply follow it's the parent of each node until we reach the starting node.
In an A*, we start by processing the starting node (in the context of Maze Race, nodes are squares) and getting it's neighbors. A* is a type of Best First Search that returns the shortest route.
We check each of it's neighbors to see if they are the target (or ending square), if they are we return that target and then trace the path from it back to the starting node. If we don't find the target we add each of the neighbors to the stack and then we start the process over taking the node that is closest to the target. In Maze Race closeness is calculated as the distance between the square and the target.
We contiue this process until we find the target or the queue is empty. Unlike the more generic Best First Search, the A* search returns the shortest path.
Like the Best First Search, A* also utilizes a priority queue (implemented using a heap) to speed up the square selection when grabbing the next square to test. See the description of the Best First Search for more details on that.
To be able to have the shortest path, in addition to setting the parent of each of a square's neighbors to itself, it also keeps track of how many steps it took to get to each square. When checking neighbors, if a neighbor already has a parent it checks to see how many steps it took to get to that square from its parent. If it took less to get to the current square plus one, then it sets the neighbor square's parent to itself, and the steps count to get to that neighbor to that of the current square plus one.
This ensures each square's parent is the one with the shortest route from the start, ensuring that we have the shortest route when we find the target.
These extra steps do make this algorithm a bit slower than the more generic Best First Search in terms of actual processing speed, but still the same amount of steps. However if you need the shortest path, then this will be superior to the Best First Search.


Securty - Make Your Class Unserializable
Java's serialization mechanism lets the programmer save entire objects to a storage mechanism such as a disc, database, or string. The mechanism also lets classes be restored from saved information later, perhaps from the same application after it has stopped and restarted or from another application. Saving an object's state in Java is serialization; restoring its state is deserialization. Serialization is dangerous because it lets adversaries access your objects' internal state. Adversaries can serialize one of your objects into a byte array that can be read, which lets them inspect your object's full internal state, including any fields you marked private and the internal state of any objects your reference.
Tip: Do not make your classes Serializable if possible. If you make your classes Serializable, make sure that any sensitive data members are transient.
REFERENCE
Statically Scanning Java Code: Finding Security Vulnerabilities.
John Viega, Gary McGraw, Tom Mutdosch, and Edward W. Felten
IEEE SOFTWARE September/October 2000


Enter the table name and click on the VIEW button
The Vicnum project was developed for educational purposes to demonstrate common web vulnerabilities. For comments please visit the OWASP project page.


Bitshares-Core
3.0.0
BitShares blockchain implementation and command-line interface software
- e -
enable_subscribe_to_all :
graphene::app::application_options
encrypted_memo :
graphene::chain::stealth_confirmation
encrypted_private_keys :
graphene::wallet::exported_account_keys
expiration :
graphene::chain::htlc_object::condition_info::time_lock_info
,
graphene::chain::limit_order_create_operation
,
graphene::chain::limit_order_object
,
graphene::chain::transaction
,
graphene::chain::withdraw_permission_object
expiration_time :
graphene::chain::proposal_create_operation
,
graphene::chain::proposal_object
extensions :
graphene::chain::account_create_operation
,
graphene::chain::account_options
,
graphene::chain::account_transfer_operation
,
graphene::chain::account_update_operation
,
graphene::chain::account_upgrade_operation
,
graphene::chain::account_whitelist_operation
,
graphene::chain::assert_operation
,
graphene::chain::asset_claim_fees_operation
,
graphene::chain::asset_claim_pool_operation
,
graphene::chain::asset_create_operation
,
graphene::chain::asset_fund_fee_pool_operation
,
graphene::chain::asset_global_settle_operation
,
graphene::chain::asset_issue_operation
,
graphene::chain::asset_options
,
graphene::chain::asset_publish_feed_operation
,
graphene::chain::asset_reserve_operation
,
graphene::chain::asset_settle_cancel_operation
,
graphene::chain::asset_settle_operation
,
graphene::chain::asset_update_bitasset_operation
,
graphene::chain::asset_update_feed_producers_operation
,
graphene::chain::asset_update_issuer_operation
,
graphene::chain::asset_update_operation
,
graphene::chain::bid_collateral_operation
,
graphene::chain::bitasset_options
,
graphene::chain::block_header
,
graphene::chain::call_order_update_operation
,
graphene::chain::chain_parameters
,
graphene::chain::htlc_create_operation
,
graphene::chain::htlc_extend_operation
,
graphene::chain::htlc_redeem_operation
,
graphene::chain::limit_order_cancel_operation
,
graphene::chain::limit_order_create_operation
,
graphene::chain::override_transfer_operation
,
graphene::chain::proposal_create_operation
,
graphene::chain::proposal_delete_operation
,
graphene::chain::proposal_update_operation
,
graphene::chain::transaction
,
graphene::chain::transfer_operation
extra_keys :
graphene::wallet::wallet_data
Generated on Wed Mar 27 2019 15:04:33 for Bitshares-Core by
1.8.13


Vagrant
CI
home
builders
waterfall
build slaves
{%- block content -%} {%- endblock -%}
Copyright
©
2009-2011.
Mitchell Hashimoto
and
John Bender
. Design by
Simone Carletti
.


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one | |
| 3 | * or more contributor license agreements. See the NOTICE file | |
| 4 | * distributed with this work for additional information | |
| 5 | * regarding copyright ownership. The ASF licenses this file | |
| 6 | * to you under the Apache License, Version 2.0 (the | |
| 7 | * "License"); you may not use this file except in compliance | |
| 8 | * with the License. You may obtain a copy of the License at | |
| 9 | * | |
| 10 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 11 | * | |
| 12 | * Unless required by applicable law or agreed to in writing, | |
| 13 | * software distributed under the License is distributed on an | |
| 14 | * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
| 15 | * KIND, either express or implied. See the License for the | |
| 16 | * specific language governing permissions and limitations | |
| 17 | * under the License. | |
| 18 | */ | |
| 19 | package org.apache.myfaces.shared.renderkit.html.util; | |
| 20 | ||
| 21 | import jakarta.faces.component.UIComponent; | |
| 22 | ||
| 23 | public class FormInfo | |
| 24 | { | |
| 25 | private final UIComponent form; | |
| 26 | private final String formName; | |
| 27 | | |
| 28 | public FormInfo(final UIComponent form, final String formName) | |
| 29 | { | |
| 30 | this.form = form; | |
| 31 | this.formName = formName; | |
| 32 | } | |
| 33 | ||
| 34 | public UIComponent getForm() | |
| 35 | { | |
| 36 |
1
1. getForm : replaced return value with null for org/apache/myfaces/shared/renderkit/html/util/FormInfo::getForm → NO_COVERAGE |
return form; |
| 37 | } | |
| 38 | ||
| 39 | public String getFormName() | |
| 40 | { | |
| 41 |
1
1. getFormName : replaced return value with "" for org/apache/myfaces/shared/renderkit/html/util/FormInfo::getFormName → NO_COVERAGE |
return formName; |
| 42 | } | |
| 43 | } | |
Mutations | ||
| 36 |
1.1 |
|
| 41 |
1.1 |


Text functionsText functions can be used to analyze, rearrange, extract, and build text strings. For example, you could use the MiddleWords function to extract specific words from supplied text.
• expressions having a text result
1 (True) for an exact match, or 0 (False) for a mismatch between two text strings or container fields. Dates in the specified text as field type date, for use in formulas involving dates or date functions.


RSS Feed Generator for PHP - Documentation
This document was based on RSS 2.0 specification which can be found at
http://blogs.law.harvard.edu/tech/rss.
Classes
class rssGenerator_rss
Parameters:
Methods:
[ Top ]
string rss_version
The version of RSS that the document conforms to. Required, default - '2.0'.
Example:
$rss_feed->version = '2.0';
[ Top ] [ rssGenerator_rss ]
string rss_encoding
The XML encoding. Optional, not used by default.
Example:
$rss_feed->encoding = 'UTF-8';
[ Top ] [ rssGenerator_rss ]
string createFeed(rssGenerator_channel channel)
Generates XML code based on applied channel data.
Example:
<?php
require_once 'rss_generator.inc.php';
$rss_channel = new rssGenerator_channel();
$rss_channel->title = 'My News';
$rss_channel->link = 'http://mysite.com/news.php';
$rss_channel->description = 'The latest news about web-development.';
$rss_channel->language = 'en-us';
$rss_channel->generator = 'PHP RSS Feed Generator';
$rss_channel->managingEditor =<EMAIL_ADDRESS>$rss_channel->webMaster =<EMAIL_ADDRESS>$item = new rssGenerator_item();
$item->title = 'New website launched';
$item->description = 'Today I finaly launch a new website.';
$item->link = 'http://newsite.com';
$item->pubDate = 'Tue, 07 Mar 2006 00:00:01 GMT';
$rss_channel->items[] = $item;
$item = new rssGenerator_item();
$item->title = 'Another website launched';
$item->description = 'Just another website launched.';
$item->link = 'http://anothersite.com';
$item->pubDate = 'Wen, 08 Mar 2006 00:00:01 GMT';
$rss_channel->items[] = $item;
$rss_feed = new rssGenerator_rss();
$rss_feed->version = '2.0';
header('Content-Type: text/xml');
echo $rss_feed->createFeed($rss_channel);
?>
[ Top ] [ rssGenerator_rss ]
class rssGenerator_channel
Parameters:
[ Top ]
string title
The name of the channel. It's how people refer to your service. If you have an
HTML website that contains the same information as your RSS file, the title of
your channel should be the same as the title of your website. Required.
Example:
$rss_channel->title = 'MySite.com News Headlines';
[ Top ] [ rssGenerator_channel ]
string link
The URL to the HTML website corresponding to the channel. Required.
Example:
$rss_channel->link = 'http://www.mysite.com/';
[ Top ] [ rssGenerator_channel ]
string description
Phrase or sentence describing the channel. Required.
Example:
$rss_channel->description = 'The latest news from MySite.com.';
[ Top ] [ rssGenerator_channel ]
string language
The language the channel is written in. This allows aggregators to group all
Italian language sites, for example, on a single page. A list of allowable values
for this element, as provided by Netscape, is
here.
You may also use
values
defined by the W3C. Optional.
Example:
$rss_channel->language = 'en-us';
[ Top ] [ rssGenerator_channel ]
string copyright
Copyright notice for content in the channel. Optional.
Example:
$rss_channel->copyright = 'Copyright 2006, Vagharsh Tozalakyan';
[ Top ] [ rssGenerator_channel ]
string managingEditor
Email address for person responsible for editorial content. Optional.
Example:
$rss_channel->managingEditor =<EMAIL_ADDRESS>[ Top ] [ rssGenerator_channel ]
string webMaster
Email address for person responsible for technical issues relating to channel.
Optional.
Example:
$rss_channel->webMaster =<EMAIL_ADDRESS>[ Top ] [ rssGenerator_channel ]
string pubDate
The publication date for the content in the channel. For example, the New York
Times publishes on a daily basis, the publication date flips once every 24 hours.
That's when the pubDate of the channel changes. All date-times in RSS conform to
the Date and Time Specification of
RFC 822, with the exception
that the year may be expressed with two characters or four characters
(four preferred). Optional.
Example:
$rss_channel->pubDate = date('r');
[ Top ] [ rssGenerator_channel ]
string lastBuildDate
The last time the content of the channel changed. Optional.
Example:
$rss_channel->lastBuildDate = 'Tue, 07 Mar 2006 08:00:00 GMT';
[ Top ] [ rssGenerator_channel ]
array categories
Specify categories that the channel belongs to. Each element is itself an array
of name and optional domain. Optional.
Example:
$rss_channel->categories[] = array('name'=>'Newspapers', 'domain'=>'');
$rss_channel->categories[] = array('name'=>'Journals', 'domain'=>'');
[ Top ] [ rssGenerator_channel ]
string generator
A string indicating the program used to generate the channel. Optional.
Example:
$rss_channel->generator = 'PHP RSS Feed Generator';
[ Top ] [ rssGenerator_channel ]
string docs
A URL that points to the documentation for the format used in the RSS file. It's
for people who might stumble across an RSS file on a Web server 25 years from now
and wonder what it is. Optional.
Example:
$rss_channel->docs = 'http://blogs.law.harvard.edu/tech/rss';
[ Top ] [ rssGenerator_channel ]
string ttl
Stands for time to live. It's a number of minutes that indicates how long a
channel can be cached before refreshing from the source. Optional.
Example:
$rss_channel->ttl = '60';
[ Top ] [ rssGenerator_channel ]
rssGenerator_image image
Specifies a GIF, JPEG or PNG image that can be displayed with the channel. See
also rssGenerator_image class. Optional.
Example:
$rss_image = new rssGenerator_image();
$rss_image->url = 'http://mysite.com/images/logo.png';
$rss_image->title = '';
$rss_image->link = '';
$rss_image->width = 88;
$rss_image->height = 31;
$rss_image->description = '';
...
$rss_channel->image = $rss_image;
[ Top ] [ rssGenerator_channel ]
rssGenerator_textInput textInput
Specifies a text input box that can be displayed with the channel. See also
rssGenerator_textInput class. Optional.
Example:
$rss_textInput = new rssGenerator_textInput();
$rss_textInput->title = 'Subscribe';
$rss_textInput->description = 'Enter your e-mail address, please';
$rss_textInput->name = 'email';
$rss_textInput->link = 'http://mysite.com/subscribe.php';
...
$rss_channel->textInput = $rss_textInput;
[ Top ] [ rssGenerator_channel ]
array skipHours
An array that contains up to 24 elements whose value is a number between 0 and 23,
representing a time in GMT, when aggregators, if they support the feature, may
not read the channel on hours listed in the skipHours array. The hour beginning
at midnight is hour zero. Optional.
Example:
$rss_channel->skipHours = array(0, 15, 22);
[ Top ] [ rssGenerator_channel ]
string skipDays
An array that contains up to seven elements whose value is Monday, Tuesday,
Wednesday, Thursday, Friday, Saturday or Sunday. Aggregators may not read the
channel during days listed in the skipDays array. Optional.
Example:
$rss_channel->skipDays = array('Monday', 'Friday');
[ Top ] [ rssGenerator_channel ]
string cloud_domain
The domain name or IP address of the cloud. Optional, but required if any of
cloud parameters defined.
Example:
$rss_channel->cloud_domain = 'rpc.sys.com';
[ Top ] [ rssGenerator_channel ]
string cloud_port
The TCP port that the cloud is running on. Optional, but required if any of
cloud parameters defined.
Example:
$rss_channel->cloud_port = '80';
[ Top ] [ rssGenerator_channel ]
string cloud_path
The location of its responder. Optional, but required if any of
cloud parameters defined.
Example:
$rss_channel->cloud_path = '/RPC2';
[ Top ] [ rssGenerator_channel ]
string cloud_registerProcedure
The name of the procedure to call to request notification. Optional, but required
if any of cloud parameters defined.
Example:
$rss_channel->cloud_registerProcedure = 'myCloud.rssPleaseNotify';
[ Top ] [ rssGenerator_channel ]
string cloud_protocol
Xml-rpc, soap or http-post (case-sensitive), indicating which protocol is to be
used. Optional, but required if any of cloud parameters defined.
Example:
$rss_channel->cloud_protocol = 'xml-rpc';
[ Top ] [ rssGenerator_channel ]
array items
An array of item objects. See also rssGenerator_item class.
Example:
...
$rss_item = new rssGenerator_item();
$rss_item->title = 'New website launched';
$rss_item->description = 'Today I finaly launch a new website.';
$rss_item->link = 'http://newsite.com';
$rss_item->pubDate = 'Tue, 07 Mar 2006 00:00:01 GMT';
$rss_channel->items[] = $item;
[ Top ] [ rssGenerator_channel ]
string extraXML
Any additional XML code that can be included to channel element. Optional.
[ Top ] [ rssGenerator_channel ]
class rssGenerator_image
Parameters:
[ Top ]
string url
The URL of a GIF, JPEG or PNG image that represents the channel. Required.
[ Top ] [ rssGenerator_image ]
string title
Describes the image, it's used in the ALT attribute of the HTML <img> tag when
the channel is rendered in HTML. Required.
[ Top ] [ rssGenerator_image ]
string link
The URL of the site, when the channel is rendered, the image is a link to the
site. (Note, in practice the image <title> and <link> should have the same
value as the channel's <title> and <link>. Required.
[ Top ] [ rssGenerator_image ]
string width
Number, indicating the width of the image in pixels. Maximum value for width is
144, default value is 88. Optional.
[ Top ] [ rssGenerator_image ]
string height
Number, indicating the height of the image in pixels. Maximum value for height
is 400, default value is 31. Optional.
[ Top ] [ rssGenerator_image ]
string description
The text that is included in the TITLE attribute of the link formed around the
image in the HTML rendering. Optional.
[ Top ] [ rssGenerator_image ]
class rssGenerator_textInput
Parameters:
[ Top ]
string title
The label of the Submit button in the text input area. Required.
[ Top ] [ rssGenerator_textInput ]
string description
Explains the text input area. Required.
[ Top ] [ rssGenerator_textInput ]
string name
The name of the text object in the text input area. Required.
[ Top ] [ rssGenerator_textInput ]
string link
The URL of the CGI script that processes text input requests. Required.
[ Top ] [ rssGenerator_textInput ]
class rssGenerator_item
[ Top ]
string title
The title of the item. Optional.
Example:
$rss_item->title = 'Venice Film Festival Tries to Quit Sinking';
[ Top ] [ rssGenerator_item ]
string link
The URL of the item. Optional.
Example:
$rss_item->link = 'http://nytimes.com/2004/12/07FEST.html';
[ Top ] [ rssGenerator_item ]
string description
The item synopsis. Optional.
Example:
$rss_item->description = 'Some of the most heated chatter at the Venice
Film Festival this week was about the way that the arrival of the stars at the
Palazzo del Cinema was being staged.';
[ Top ] [ rssGenerator_item ]
string author
Email address of the author of the item. Optional.
[ Top ] [ rssGenerator_item ]
string pubDate
Indicates when the item was published. Optional.
[ Top ] [ rssGenerator_item ]
string comments
URL of a page for comments relating to the item. Optional.
[ Top ] [ rssGenerator_item ]
string guid
A string that uniquely identifies the item. Optional.
[ Top ] [ rssGenerator_item ]
string guid_isPermaLink
isPermaLink is optional, its default value is true. If its value is false, the
guid may not be assumed to be a url, or a url to anything in particular.
[ Top ] [ rssGenerator_item ]
string source
The RSS channel that the item came from. Optional.
Example:
$rss_item->source = 'Tomalak\'s Realm';
$rss_item->source_url = 'http://www.tomalak.org/links2.xml';
[ Top ] [ rssGenerator_item ]
string source_url
The URL that links to the XMLization of the source. Optional, but required if
source defined.
[ Top ] [ rssGenerator_item ]
string enclosure_url
Describes a media object that is attached to the item. It says where the enclosure
is located. Optional, but required if any of enclosure parameters defined.
[ Top ] [ rssGenerator_item ]
string enclosure_length
Describes a media object that is attached to the item. It says how big it is in bytes.
Optional, but required if any of enclosure parameters defined.
[ Top ] [ rssGenerator_item ]
string enclosure_type
Describes a media object that is attached to the item. It says what its type is -
a standard MIME type. Optional, but required if any of enclosure parameters defined.
[ Top ] [ rssGenerator_item ]
string categories
Includes the item in one or more categories. See also the
categories property of
rssGenerator_channel class.
[ Top ] [ rssGenerator_item ]


[gecode-users] IntSet question
Gustavo Gutierrez
gutierrez.gustavo at uclouvain.be
Mon Aug 2 18:12:33 CEST 2010
Thank you very much Guido! just what I needed :) .
2010/8/2 Guido Tack <tack at gecode.org>
> Gustavo Gutierrez wrote:
> > Probably what I am going to ask is not useful or is just to much
> particular to my case that does not worth have it, however, I wouldn't
> hesitate to ask :).
> >
> > While writing a propagator I realized that keeping some state in it will
> lower the complexity. This propagator is on a finite set variable and what I
> does is to track "the new elements in the glb" and propagate according with
> its semantics. At the beginning to I was using an std::set to keep the "old
> values" and using it to compute the new elements:
> >
> > new elements = current glb \ old values
> >
> > The propagator was performing well but the memory consumption and the
> time to compute the intersection was quite high. After realizing that I
> start using an IntSet instead of a std::set to keep the data. The advantage
> is that the IntSet stores ranges and then is *hopefully* less memory hungry.
> There is also something nice, you can use all the iterators with them (range
> iterators). The only problem is that they are intended to be used only to
> represent variable domains in initializations or when posting constraints
> and this is reflected in the fact that they lack of "modification
> operations" in the API.
> >
> > In my case I have to copy construct all the time and this is of course
> time consuming but far better than my previous implementation. Now my
> question, sounds it very crazy or stupid to use the IntSet in this way?, if
> it does not, then it would be nice to provide an specialization (via
> inheritance, for instance) that allows this kind of use. What do you think?
>
> Yes, that is very crazy :-) However, there's a different data structure
> you can use in exactly the way you describe. It's actually two data
> structures, LUBndSet and GLBndSet. The difference is in the available
> operations: LUBndSet has intersectI and excludeI operations (i.e., it can
> shrink), and GLBndSet has an includeI operation (i.e., it can grow). These
> sets are used internally for implementing set variables. In your case, you'd
> use a GLBndSet (and includeI the current lower bound after each
> propagation). There's an iterator called BndSetRanges that you can use on
> these sets.
> You should have a look at the IntersectionN propagator, it uses a LUBndSet
> to remember the intersection of all assigned variables it has seen so far
> (it will show you how to initialize and copy these sets).
>
> Cheers,
> Guido
>
> --
> Guido Tack, http://people.cs.kuleuven.be/~guido.tack/
>
>
>
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
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--
Gustavo Gutierrez
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Nbdime
Nbdime
allows you to diff or merge Jupyter notebooks. Enter notebook filenames in one of the forms below to get started.
Please input filenames of notebooks to diff:
Base:
Remote:
Diff files
Please input filenames of notebooks to merge:
Base:
Local:
Remote:
Merge files


I am a Ph.D. student at The Ohio State University. My broad research interests are Applied Machine Learning, Interpretable AI (XAI) and Visualization. I am being advised by Dr. Han-Wei Shen at the CSE Department.
Before moving to OSU, I finished a B.E. Hons degree in Computer Science Engineering at BITS-Pilani Hyderabad Campus, India and spent some fun time interning at the Smart Data Analytics Lab, University of Bonn.
I am currently looking for full time positions starting January 2023.Since Fall 2019 I have been involved in teaching both as a GTA and Instructor.


Module 11. Part 2: Promisification
Consist of 3 tasks
All results you can see in console. Press Ctrl + Shift + I :)


Francis Heylighen
Only tangentially relevant, but expands on the notion of ephemeralisation (a theme discussed by Shaffer when discussing the general screen-based computer - ephemeralised - versus domain-specific devices with buttons etc.). A nice "activity theory" quotation about design space though.
"New technologies increase the number of options to be considered and the amount of information that needs to be assimilated. The broader and more powerful the technology, the larger the increase. The required effort to study these new data with its accompanying stress (e.g. in the form of the information fatigue syndrome mentioned above) will obviously reduce the productivity of employees, and increase the probability of errors and ineffectual use."
"To find the most productive use of a new technology, avoiding all unexpectedly negative side-effects, you should systematically study all possible options and all their direct and indirect consequences. Because of bounded rationality, however, this is obviously impossible. Instead, improvements are typically made by trial-and-error, where first the most obvious applications are tried out, and users slowly become aware of their positive and negative effects. On the basis of that experience, they learn how to avoid clearly unproductive applications. They then try out minor variations or improvements on the apparent “best practices”, and perhaps carry out a few more daring experiments that may open wholly new domains of application. They thus gradually discover more productive ways to use this same technology, ending up with initially unimagined uses."


#include <bmqt_subscription.h>
List of all members.
Detailed Description
Value-semantic type to carry Subscription parameters.
See Component bmqt_subscription
Constructor & Destructor Documentation
| bmqt::Subscription::Subscription |
( |
|
) |
|
| bmqt::Subscription::Subscription |
( |
const Subscription & |
other |
) |
|
Create a new Subscription by copying values from the specified other
.
Member Function Documentation
| Subscription& bmqt::Subscription::setMaxUnconfirmedMessages |
( |
int |
value |
) |
|
Set the maxUnconfirmedMessages to the specified value
. The behavior is undefined unless value >= 0
. If the specified value
is set to 0, it means that the consumer does not receive any messages. This might be useful when the consumer is shutting down and wants to process only pending messages, or when it is unable to process new messages because of transient issues.
| Subscription& bmqt::Subscription::setMaxUnconfirmedBytes |
( |
int |
value |
) |
|
Set the maxUnconfirmedBytes to the specified value
. The behavior is undefined unless value >= 0
.
| Subscription& bmqt::Subscription::setConsumerPriority |
( |
int |
value |
) |
|
Set the consumerPriority to the specified value
. The behavior is undefined unless 'k_CONSUMER_PRIORITY_MIN <= value <= k_CONSUMER_PRIORITY_MAX'
| int bmqt::Subscription::maxUnconfirmedMessages |
( |
|
) |
const |
Get the number for the maxUnconfirmedMessages parameter.
| int bmqt::Subscription::maxUnconfirmedBytes |
( |
|
) |
const |
Get the number for the maxUnconfirmedBytes parameter.
| int bmqt::Subscription::consumerPriority |
( |
|
) |
const |
Get the number for the consumerPriority parameter.
| bool bmqt::Subscription::hasMaxUnconfirmedMessages |
( |
|
) |
const |
Returns whether maxUnconfirmedMessages
has been set for this object, or whether it implicitly holds k_DEFAULT_MAX_UNCONFIRMED_MESSAGES
.
| bool bmqt::Subscription::hasMaxUnconfirmedBytes |
( |
|
) |
const |
Returns whether maxUnconfirmedBytes
has been set for this object, or whether it implicitly holds k_DEFAULT_MAX_UNCONFIRMED_BYTES
.
| bool bmqt::Subscription::hasConsumerPriority |
( |
|
) |
const |
Returns whether consumerPriority
has been set for this object, or whether it implicitly holds k_DEFAULT_CONSUMER_PRIORITY
.
| bsl::ostream& bmqt::Subscription::print |
( |
bsl::ostream & |
stream, |
|
|
int |
level = 0 , |
|
|
int |
spacesPerLevel = 4 | |
|
) |
| | const |
Format this object to the specified output stream
at the (absolute value of) the optionally specified indentation level
and return a reference to stream
. If level
is specified, optionally specify spacesPerLevel
, the number of spaces per indentation level for this and all of its nested objects. If level
is negative, suppress indentation of the first line. If spacesPerLevel
is negative format the entire output on one line, suppressing all but the initial indentation (as governed by level
). If stream
is not valid on entry, this operation has no effect.
Member Data Documentation
The documentation for this class was generated from the following file:


class Minitest::Reporters::BaseReporter
Attributes
tests[RW]
Public Class Methods
new(options={})
click to toggle source
Calls superclass method
# File lib/minitest/reporters/base_reporter.rb, line 6 def initialize(options={}) super($stdout, options) self.tests = [] end
Public Instance Methods
add_defaults(defaults)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 11 def add_defaults(defaults) self.options = defaults.merge(options) end
after_test(test)
click to toggle source
called by our own after hooks
# File lib/minitest/reporters/base_reporter.rb, line 30 def after_test(test) end
before_test(test)
click to toggle source
called by our own before hooks
# File lib/minitest/reporters/base_reporter.rb, line 16 def before_test(test) last_test = tests.last if last_test.class != test.class after_suite(last_test.class) if last_test before_suite(test.class) end end
record(test)
click to toggle source
Calls superclass method
# File lib/minitest/reporters/base_reporter.rb, line 24 def record(test) super tests << test end
report()
click to toggle source
Calls superclass method
# File lib/minitest/reporters/base_reporter.rb, line 33 def report super after_suite(tests.last.class) end
Protected Instance Methods
after_suite(test)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 40 def after_suite(test) end
before_suite(test)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 43 def before_suite(test) end
filter_backtrace(backtrace)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 76 def filter_backtrace(backtrace) Minitest.filter_backtrace(backtrace) end
print(*args)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 84 def print(*args) io.print(*args) end
print_colored_status(test)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 58 def print_colored_status(test) if test.passed? print(green { pad_mark( result(test).to_s.upcase ) }) elsif test.skipped? print(yellow { pad_mark( result(test).to_s.upcase ) }) else print(red { pad_mark( result(test).to_s.upcase ) }) end end
print_info(e, name=true)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 88 def print_info(e, name=true) print "#{e.exception.class.to_s}: " if name e.message.each_line { |line| print_with_info_padding(line) } # When e is a Minitest::UnexpectedError, the filtered backtrace is already part of the message printed out # by the previous line. In that case, and that case only, skip the backtrace output. unless e.is_a?(MiniTest::UnexpectedError) trace = filter_backtrace(e.backtrace) trace.each { |line| print_with_info_padding(line) } end end
puts(*args)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 80 def puts(*args) io.puts(*args) end
result(test)
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 46 def result(test) if test.error? :error elsif test.skipped? :skip elsif test.failure :fail else :pass end end
total_count()
click to toggle source
# File lib/minitest/reporters/base_reporter.rb, line 72 def total_count options[:total_count] end
total_time()
click to toggle source
Calls superclass method
# File lib/minitest/reporters/base_reporter.rb, line 68 def total_time super || Minitest::Reporters.clock_time - start_time end


Oil Change
Our routine oil changes will keep your engine running safe, strong and healthy.
Read MoreFeedback
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Saturday: 7:30 am - 12:00 pm
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- Mobile: +92<PHONE_NUMBER>
- E-mail:car_repair@support.com


( Seek Textbox: for example "+12min 42sec", "01:13:43", "-12%" etc... )
VLC media player - version 0.8.6c Janus - (c) 1996-2007 the VideoLAN team


{% extends "header.html" %} {% block body %}
Now that you've got your server and domain set up, it is time to set up Flask and get your very first web application up! There are many commands that we will need to run, but, have no fear, I will put all of the commands and code blocks here!
First, you'll need to run:sudo apt-get install apache2 mysql-client mysql-serverOnce you do that, you'll get the start up page for MySQL, where you will need to set your root user for MySQL. This is the specific MySQL root user, not your server root user.
That setup should take about 20-30 seconds. After that, we need to get WSGI, so run the following:
sudo apt-get install libapache2-mod-wsgi
Once we have that, we need to make sure we've enabled WSGI with the following:
sudo a2enmod wsgi
It is probably already enabled from the installation, but it is a good idea to make sure.
Next we are ready to set up our Flask environment.
Run:
cd /var/www/
Now let's make our Flask environment directory:
sudo mkdir FlaskApp
Move into that directory:
cd FlaskApp
Now make the actual application directory:
sudo mkdir FlaskApp
Now let's go in there:
cd FlaskApp/
Now we're going to make two directories, static and template:
sudo mkdir static
sudo mkdir templates
Now we're ready to create the main file for your first Flask App:
sudo nano __init__.py
Here is where we have our initialization script for our Flask application. You can actually keep all of your main website code right here for simplicity's sake, and that's what we'll be doing. Within your __init__.py file, you will type:
from flask import Flask app = Flask(__name__) @app.route('/') def homepage(): return "Hi there, how ya doin?" if __name__ == "__main__": app.run()
Press control+x to save it, yes, enter.
Now we should probably actually get Flask. Let's do that now.
Since this is likely a new server for you, you will want to go ahead and run:
sudo apt-get update
sudo apt-get upgrade
Hit control+c to get out of the running text, then type deactivate to stop the virtual environment running locally. This is only a local version, so you wont be able to type in anything to your browser to access it.
To get Flask, we're going to use pip, so you will need to first get pip if you do not already have it:
sudo apt-get install python-pip
Now that we have pip, we also need virtualenv to create the virtual environment for Flask to run Python and your application in:
sudo pip install virtualenv
Now to set up the virtualenv directory:
sudo virtualenv venv
Activate the virtual environment:
source venv/bin/activate
Now install Flask within your virtual environment
sudo pip install Flask
Find out if everything worked out by going:
sudo python __init__.py
If you didn't get any major errors, congrats!
Hit control+c to get out of the running text, then type deactivate to stop the virtual environment running locally. This is only a local version, so you wont be able to type in anything to your browser to access it.
So now we need to set up our Flask configuration file:
sudo nano /etc/apache2/sites-available/FlaskApp.conf
This is where your Flask configuration goes, which will apply to your live web site. Here's the code that you need to include:
<VirtualHost *:80> ServerName yourdomain.com ServerAdmin<EMAIL_ADDRESS>WSGIScriptAlias / /var/www/FlaskApp/flaskapp.wsgi <Directory /var/www/FlaskApp/FlaskApp/> Order allow,deny Allow from all </Directory> Alias /static /var/www/FlaskApp/FlaskApp/static <Directory /var/www/FlaskApp/FlaskApp/static/> Order allow,deny Allow from all </Directory> ErrorLog ${APACHE_LOG_DIR}/error.log LogLevel warn CustomLog ${APACHE_LOG_DIR}/access.log combined </VirtualHost>
For your notes, if you want to add more domains that point to the same Flask App, or a different app entirely, then you just copy and paste the above code and change the domain name. So, if you want www.yourapp.com and yourapp.com to both work, you will need two versions. There might be a superior method to this, like some sort of a list. If there is, I do not know it! If you know of a better way, please share and I will modify this to represent it.
We are now ready to enable the server.
Run:
sudo a2ensite FlaskApp
service apache2 reload
Almost there... now we just need to configure our WSGI file. To do this:
cd /var/www/FlaskApp
sudo nano flaskapp.wsgi
Within the wsgi file, enter:
#!/usr/bin/python import sys import logging logging.basicConfig(stream=sys.stderr) sys.path.insert(0,"/var/www/FlaskApp/") from FlaskApp import app as application application.secret_key = 'your secret key. If you share your website, do NOT share it with this key.'
Save and exit.
Once that is done, run:
service apache2 restart
Get used to running the above command. Flask is very finicky about your python file changes. Every .py file change you make to your webapp, you need to run this command.
Once you have done all of this, you are ready to visit your domain name in your browser. You should see the "Hi there, how ya doin?" string that we output in your __init__.py file.


&; climate OpenUrl species change translocation range native CrossRef model Science Web future invasive conservation microrefugia suitable baeticum climatic predicted species’ suitability ensemble ponticum scenario sites ssp. areas framework Rhododendron biogeographic View dispersal high Ecology R.p. change. potential present used assisted cells threatened based models time Table distribution outside scenarios current mean Conservation Invasive identification identified risk suited (i.e. Ecology, Fig. However, accordance extant extinction migration potentially translocations Biology, Conservation, Download Iberian SDMs area cases colonization habitat relict site Biological Biology Sciences, Search associated available combination constraints different historical modelling pessimistic range, southern stable statistical using Abstract Evolution, Natural Plant Simberloff, Suppl. alien best biogeographical developed evaluation invasion optimistic plant range. rare resolution temporal Assisted Bruelheide, Griffin, J.A. J.J. Mejías Thomas, Thuiller Univ. capacity data disjunct ecology environmental explicit geographic given help implemented known management occupy possess presented putative region scores selection shifts spatially strategy study successful translocation, variables (e.g. (southern Climate E.A. Guisan, Hellmann, J.D. Ricciardi Stout Text Translocation Trends approach committee considered coupled ecological extinctions freshwater generated global guide inline limited long-term need new niche number populations popup possessing practice projected projections represent response robust spatial species. study, table: translocation. type uncertainty various ‘when’ ‘whether’, (IAS) (and (mean Applied Areas Baudraz Biogeography, Bourke C.R. Change, Cross, D.F. Damien David Department Egan Environmental Erfmeier, FREE Ferrarini Figure Gallagher, Georges Given Hällfors IUCN Identification Ireland J.M. Jane Jones, Julien M.B. Maude Mediterranean New Open Paul Renaud Restoration Results Sax, School Seddon Thuiller, Warren, Wilfried accuracy action aliens application assessment biodiversity calibrated challenges climate-endangered data-hide-link-title=""> data-icon-position="" decision decision-making decisions deemed development examining extinction: figure finer forecasting history identify importance included indicate introduced layers likelihood likely limitations majority means models. nature novel occurrence options past period, pp. predict presently propagule pseudo-absences refugia reintroduction results selected shift simulations small species, specificity tab techniques tool uncertainties. use values variables, wild


This is a simple scaling policy. To declare different actions based on the magnitude of the alarm, switch to a step policy.


AUTHORING -> ADMINSTRATION
REPOSITORIES -> CLONE REPOSITORY
Repository name: rewards
Organizational unit: Demos
Git URL: https://github.com/jbossdemocentral/bpmsuite-rewards-repo.git
AUTHORING -> ADMINISTRATION
ORGANIZATIONAL UNIT -> MANAGE ORGANIZATIONAL UNITS
OK
REPOSITORIES -> NEW REPOSITORY
CREATE
AUTHORING -> PROJECT AUTHORING
NEW ITEM -> PROJECT
OK
Group ID
details, click on FINISH


HINT v2.0
HINT v1.0
Sponsor
Contact Us
HINT v2.0
HINT v1.0
Sponsor
Contact Us
Hack In The North v3.0
The Largest Student Held Hackathon in India
Organised at
IIIT Allahabad
Coming Soon
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Interested in sponsorsing Hack In The North? Please see our
sponsorship brochure
for more details.
PAST SPONSORS


I built a tiny tool to delete all my old tweets, since previous passes via online apps weren’t doing the trick (something something Twitter API limitations). Was a fun little exercise!


Project start date :
Duration in months :
| Total costs | % Grant | Funding sought | Other public sector funding | Contribution to project | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
Lead organisation
Partner
|
£0 | 0% | £0 | £0 | £0 | |||||
| Total |
| Total | ||||
|---|---|---|---|---|
|
Lead organisation
Partner
|
£0 | £0 | ||
| Total |


The units you see here are Census block groups. Demographic information from the 2010 Decennial Census was downloaded at the block group level from the Census API.


Record 31.6 million airline passengers expected over Thanksgiving travel period
by Kelly Yamanouchi, The Atlanta Journal-ConstitutionA record 31.6 million passengers are expected to travel on U.S. airlines over the Thanksgiving travel period, according to an airline industry group.
Airlines for America said the busiest day of the year in history for U.S. airlines is expected to be Dec. 1, the Sunday after Thanksgiving.
On that day, 3.1 million passengers are expected to fly on U.S. airlines.
Another busy day during the 12-day Thanksgiving travel period from Nov. 22 to Dec. 3 will be the Wednesday before Thanksgiving.
Nov. 22, the Friday before Thanksgiving, will be the third-busiest day.
The least busy day is expected to be Thanksgiving Day.


@Rongarvin99 @KomodoPlatform For any coin/project to use nSPV, it would have to be built on $KMD platform and dPOW /notarized which cost about 300 -500 kmd a year. So 100 projects wanting to utilize nSPV would equal about 30000 -50000 kmd demand annually.


Investments¶
The system allows you to view all donation, including history. But the most catchy ability, is that despite the fact that the system is fully automated, you can still make manual matching from the Investments section in the most simple, straight forward and beautiful manner ever.
You can:
- View all pledges
- View Paired Users
- View and Pair Pledges against Cashouts in
Pair Users
- View and Pair Prepaid Requests against Cashouts in
Pair Prepaid


Raw data is stored in instances of the Buffer class. A Buffer is similar to an array of integers but corresponds to a raw memory allocation outside the V8 heap. A Buffer cannot be resized. Valid string encodings: 'ascii'|'utf8'|'utf16le'|'ucs2'(alias of 'utf16le')|'base64'|'binary'(deprecated)|'hex'
Allocates a new buffer containing the given {str}.
String to store in buffer.
encoding to use, optional. Default is 'utf8'
Allocates a new buffer of {size} octets.
count of octets to allocate.
Allocates a new buffer containing the given {array} of octets.
The octets to store.
Produces a Buffer backed by the same allocated memory as the given {ArrayBuffer}.
The ArrayBuffer with which to share memory.
Allocates a new buffer containing the given {array} of octets.
The octets to store.
Copies the passed {buffer} data onto a new {Buffer} instance.
The buffer to copy.
Allocates a new buffer of {size} octets.
count of octets to allocate.
if specified, buffer will be initialized by calling buf.fill(fill). If parameter is omitted, buffer will be filled with zeros.
encoding used for call to buf.fill while initalizing
Allocates a new buffer of {size} octets, leaving memory not initialized, so the contents of the newly created Buffer are unknown and may contain sensitive data.
count of octets to allocate
Allocates a new non-pooled buffer of {size} octets, leaving memory not initialized, so the contents of the newly created Buffer are unknown and may contain sensitive data.
count of octets to allocate
Gives the actual byte length of a string. encoding defaults to 'utf8'. This is not the same as String.prototype.length since that returns the number of characters in a string.
string to test.
encoding used to evaluate (defaults to 'utf8')
Returns a buffer which is the result of concatenating all the buffers in the list together.
If the list has no items, or if the totalLength is 0, then it returns a zero-length buffer. If the list has exactly one item, then the first item of the list is returned. If the list has more than one item, then a new Buffer is created.
An array of Buffer objects to concatenate
Total length of the buffers when concatenated. If totalLength is not provided, it is read from the buffers in the list. However, this adds an additional loop to the function, so it is faster to provide the length explicitly.
Allocates a new Buffer using an {array} of octets.
When passed a reference to the .buffer property of a TypedArray instance, the newly created Buffer will share the same allocated memory as the TypedArray. The optional {byteOffset} and {length} arguments specify a memory range within the {arrayBuffer} that will be shared by the Buffer.
The .buffer property of a TypedArray or a new ArrayBuffer()
Copies the passed {buffer} data onto a new Buffer instance.
Creates a new Buffer containing the given JavaScript string {str}. If provided, the {encoding} parameter identifies the character encoding. If not provided, {encoding} defaults to 'utf8'.
Returns true if {obj} is a Buffer
object to test.
Returns true if {encoding} is a valid encoding argument. Valid string encodings in Node 0.12: 'ascii'|'utf8'|'utf16le'|'ucs2'(alias of 'utf16le')|'base64'|'binary'(deprecated)|'hex'
string to test.
The ArrayBuffer instance referenced by the array.
The length in bytes of the array.
The offset in bytes of the array.
The length of the array.
Copies the buffer. Buffer#copy does not mark target as modified so you must copy from a MongooseBuffer for it to work as expected. This is a work around since copy modifies the target, not this.
Determines if this buffer is equals to other buffer
Sets the subtype option and marks the buffer modified.
Converts this buffer to its Binary type representation.
Writes the buffer.
Returns the this object after copying a section of the array identified by start and end to the same array starting at position target
If target is negative, it is treated as length+target where length is the length of the array.
If start is negative, it is treated as length+start. If end is negative, it is treated as length+end.
If not specified, length of the this object is used as its default value.
Determines whether all the members of an array satisfy the specified test.
A function that accepts up to three arguments. The every method calls the callbackfn function for each element in array1 until the callbackfn returns false, or until the end of the array.
An object to which the this keyword can refer in the callbackfn function. If thisArg is omitted, undefined is used as the this value.
Returns the elements of an array that meet the condition specified in a callback function.
A function that accepts up to three arguments. The filter method calls the callbackfn function one time for each element in the array.
An object to which the this keyword can refer in the callbackfn function. If thisArg is omitted, undefined is used as the this value.
Returns the value of the first element in the array where predicate is true, and undefined otherwise.
find calls predicate once for each element of the array, in ascending order, until it finds one where predicate returns true. If such an element is found, find immediately returns that element value. Otherwise, find returns undefined.
If provided, it will be used as the this value for each invocation of predicate. If it is not provided, undefined is used instead.
Returns the index of the first element in the array where predicate is true, and undefined otherwise.
find calls predicate once for each element of the array, in ascending order, until it finds one where predicate returns true. If such an element is found, find immediately returns that element value. Otherwise, find returns undefined.
If provided, it will be used as the this value for each invocation of predicate. If it is not provided, undefined is used instead.
Performs the specified action for each element in an array.
A function that accepts up to three arguments. forEach calls the callbackfn function one time for each element in the array.
An object to which the this keyword can refer in the callbackfn function. If thisArg is omitted, undefined is used as the this value.
Adds all the elements of an array separated by the specified separator string.
A string used to separate one element of an array from the next in the resulting String. If omitted, the array elements are separated with a comma.
Returns the index of the last occurrence of a value in an array.
The value to locate in the array.
The array index at which to begin the search. If fromIndex is omitted, the search starts at index 0.
Calls a defined callback function on each element of an array, and returns an array that contains the results.
A function that accepts up to three arguments. The map method calls the callbackfn function one time for each element in the array.
An object to which the this keyword can refer in the callbackfn function. If thisArg is omitted, undefined is used as the this value.
Calls the specified callback function for all the elements in an array. The return value of the callback function is the accumulated result, and is provided as an argument in the next call to the callback function.
A function that accepts up to four arguments. The reduce method calls the callbackfn function one time for each element in the array.
If initialValue is specified, it is used as the initial value to start the accumulation. The first call to the callbackfn function provides this value as an argument instead of an array value.
Calls the specified callback function for all the elements in an array. The return value of the callback function is the accumulated result, and is provided as an argument in the next call to the callback function.
A function that accepts up to four arguments. The reduce method calls the callbackfn function one time for each element in the array.
If initialValue is specified, it is used as the initial value to start the accumulation. The first call to the callbackfn function provides this value as an argument instead of an array value.
Calls the specified callback function for all the elements in an array, in descending order. The return value of the callback function is the accumulated result, and is provided as an argument in the next call to the callback function.
A function that accepts up to four arguments. The reduceRight method calls the callbackfn function one time for each element in the array.
If initialValue is specified, it is used as the initial value to start the accumulation. The first call to the callbackfn function provides this value as an argument instead of an array value.
Calls the specified callback function for all the elements in an array, in descending order. The return value of the callback function is the accumulated result, and is provided as an argument in the next call to the callback function.
A function that accepts up to four arguments. The reduceRight method calls the callbackfn function one time for each element in the array.
If initialValue is specified, it is used as the initial value to start the accumulation. The first call to the callbackfn function provides this value as an argument instead of an array value.
Reverses the elements in an Array.
Sets a value or an array of values.
The index of the location to set.
The value to set.
Sets a value or an array of values.
A typed or untyped array of values to set.
The index in the current array at which the values are to be written.
Determines whether the specified callback function returns true for any element of an array.
A function that accepts up to three arguments. The some method calls the callbackfn function for each element in array1 until the callbackfn returns true, or until the end of the array.
An object to which the this keyword can refer in the callbackfn function. If thisArg is omitted, undefined is used as the this value.
Sorts an array.
The name of the function used to determine the order of the elements. If omitted, the elements are sorted in ascending, ASCII character order.
Gets a new Uint8Array view of the ArrayBuffer store for this array, referencing the elements at begin, inclusive, up to end, exclusive.
The index of the beginning of the array.
The index of the end of the array.
Converts a number to a string by using the current locale.
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The size in bytes of each element in the array.


#include "detail/setup.hpp"
#include "detail/type_mat3x3.hpp"
Go to the source code of this file.
Core features
Definition in file mat3x3.hpp.


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---
creation_epoch:<PHONE_NUMBER>
lastmod_epoch:<PHONE_NUMBER>
categories: ['Computer Problems']
title: Ubuntu 9.10 Flash Player not working with embedded videos (click problem)
---
Youtube videos played, but embedded videos on pages could not be controlled (pause, fast forward, play).
Solution: http://www.khattam.info/2009/08/18/solved-flashplugin-controls-not-working-in-ubuntu-9-10-karmic-koala-alpha-4/
In case the above site is no longer available:
- sudo apt-get remove flashplugin-installer flashplugin-nonfree swdec-mozilla mozilla-plugin-gnash
- Don't worry if some fail because they are not installed
- wget http://download.macromedia.com/pub/labs/flashplayer10/libflashplayer-<IP_ADDRESS>.linux-x86_64.so.tar.gz
- Change out the version number for the latest
- The labs version works while the normal one does not
- tar -xvf libflashplayer-<IP_ADDRESS>.linux-x86_64.so.tar.gz
- sudo mv libflashplayer.so /usr/lib/mozilla/plugins/


I am a paragraph.
Item One
Item Two
Item Three
I am another paragraph. Some of the
words
have been wrapped in a span element.


A new kind of donation "button" that is EASY, INTERACTIVE, and has the potential to convert any visitor to a donor, from microdonations to any amount.


Making your dream come true is one of our main task. Anywhere you can think of, we can bring you there. Discover your travel desitinations around the world over 5 continents.
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Pick FlightYour comfortable is at our best interest. With connections with over thousands of hotels, resorts or manors all around the world. We are confident that we can help our customers to find the best place to stay during travelling.
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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/type.20resizing.html ---
Suppose I have a type α : Type (u+1)
and I know ∃ β : Type u, nonempty (β ≃ α)
. Is there a "canonical" (= without choice, I guess?) way to obtain a type α' : Type u
and an equivalence α ≃ α'
?
I think you would be able to prove the axiom of choice if you had that
Sorry, I take it back, you could pick α
and α ≃ α'
as the identity equivalence
You could use ordinal
to give it a kind of canonicity, but that doesn't really avoid choice, it's nonconstructive all over the place.
Also that doesn't provide the equiv itself, just a proof of existence; only the type is canonical
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


<mathmlref>
Use the <mathmlref> element to reference a non-DITA XML document that contains MathML markup. This element enables you to use the markup by reference.
Category: MathML domain elements


Use WebSockets:
Connection settings
Secure:
rejectUnauthorized
Authentication settings
(
Divided by comma)
(
Mask to publish)
Store only on change:
Publish all states at start:
Publish states on subscribe:
Trace output for every message:
Send states (ack=true) too:
Use different topic names for set and get:
Send state object as mqtt message
Set retain flag
Persistent Session


Submission
If necessary, email the following as attachments to the instructor (kum@tamhsc.edu).
Homework Assignments
There will be a homework assignment due every other week. Homework assignments and related materials will be made available on the course website. I strongly advise students to begin to work on their homework assignments soon after they are assigned, so that if they need help from the instructor they have time to ask and receive assistance. There will be six (6) regular HW assignments during the semester. The overall weight of the HW assignments on the computation of the final course grade is 48%, HALF the grade.
All assignments are due at 11:59pm the day before the class they are due.
Late Assignments
Each student will be allowed one late assignment, due 7 days from the due date. NO other late assignments or make up will be accepted.
ASSIGNMENT & EXAM SCHEDULE
| Date | Assignment Given | Assignment Due |
|---|---|---|
| Week 1 | Assignment 1 | |
| Week 2 | ||
| Week 3 | Assignment 2 | Assignment 1 |
| Week 4 | ||
| Week 5 | Assignment 3 | Assignment 2 |
| Week 6 | ||
| Week 7 | Assignment 4 | Assignment 3 |
| Week 8 | Midterm | |
| Week 9 | ||
| Week 10 | Assignment 5 | Assignment 4 |
| Week 11 | ||
| Week 12 | Assignment 6 | Assignment 5 |
| Week 13 | ||
| Week 14 | Final Project | Assignment 6 |
| Week 15 | Final Project Milestone 1 | |
| Week 16 | Final Project Milestone 2 | |
| Week 17 | Final Project |
Collaboration
Collaboration on assignments, in class labs and homeworks, IS encouraged. However, what you hand in must be in your own writing/typing. Good scholarship requires that all collaborations must be acknowledged. Thus, if you collaborate on the solution of the problem set, we expect that you list your collaborators at the top of the page. Collaboration on in-class evaluations (quizzes, mid-terms, and the final exams) is, of course, a violation. This includes a discussion of questions on a quiz, midterm, or final with students from sections that has not yet taken the evaluation.
Plagiarism
If you consult any outside sources when doing your work, you are expect to further document these sources. Give credit where credit is due. Plagiarism will not be tolerated.
All handed in homework should state at the top any assistance with debugging and programming, as well as citations of any program segments copied from a website.
Seeking Help
Language classes are cumulative; don’t fall behind. Ask for assistance from your fellow students or from the instructor, especially if you find yourself struggling. But remember in the end, programming classes are like skill building math classes. Either you know how to do them or not. No amount of watching others or the instructor program or debug it will suffice for you to build these skills. Only your hard work to work through them will build your skills. It is a lot of work to build these skills, but data skills are highly valuable in the job market in the modern digital world, so it will be well worth your effort. Furthermore, once you learn to think in this manner, it’s not something you forget.
Elegance
There is always more than one way to say something, but some ways will be more “elegant” than others. You will learn to recognize elegant expressions as you become more familiar with a language and use the elegant idioms as you become more skilled.
Recommended readings for this assignment
In the following sections, if I copied and pasted sections from any of these websites, it is italicized.
Assignment 1: Hello World!
In this assignment, you will write your first SAS code. It is a very simple assignment, so you should be able to complete this in the computer lab if you do not have access to the software elsewhere.
Setting Up
Getting Data
Download Flu Trends Data from Google Flu Trends
What you will do with the data via programming:
P1. In SAS
P2. Try using point and click
Now, try doing the same task you did with point and click mode (without writing the program).
P3. Questions
Answer these questions in the main text of the email you send with the attachments.


Spud Driver's License Form
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Locally banned profiles. Profiles added to the Hide Fedora blacklist will still be removed.
Banned words or phrases that will get the comment removed. Examples: le reddit, m'lady, r/


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Information about this laser facility, and a full-service dermatology practice devoted to the health and beauty of the skin. Located in Pasadena.
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SUNY Downstate Medical Center, located in central Brooklyn, New York, is the . the communities of Bay Ridge/Dyker Heights, Bensonhurst, and Sunset Park. . Ambulatory Surgery Center, Advanced Endoscopy Center, and Laser Vision .
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How to fix Material Icons for Flutter Web (Hummingbird)
Posted on July 18, 2019 in Flutter
Target Audience: Beginner
Recipe: Material Icons for Flutter Web (Hummingbird).
Focus Widget: Material Icons
Goal: Fix MaterialIcon rendering for Flutter WebApps.
Checkout the companion video tutorial:
[Before] Default Material Icons rendering in Flutter WebApp:
[After] Fixed Material Icons rendering for Flutter WebApp:
Lets's go!
Step #1. pubspec.yaml
Add material icon dependency in pubspec.yaml
:
flutter:
uses-material-design: true
Step #2. Download Material Icons font
Download MaterialIcons fonts from here. Copy MaterialIcons-Regular.ttf
file under web/assets/fonts
directory.
Step #3. FontManifest.json
Add FontManifest.json
in web/assets
directory.
[
{
"fonts": [
{
"asset": "fonts/MaterialIcons-Regular.ttf"
}
],
"family": "MaterialIcons"
}
]
Note: I've removed debug banner to be able to show Settings vertical dots. All you need to do is to set debugShowCheckedModeBanner
flag to false in MaterialApp
like below:
return new MaterialApp(
debugShowCheckedModeBanner: false,
...
);
Source code repo: Source code is here
References:
Happy cooking with Flutter :)
Liked the article ? Couldn't find a topic of your interest ? Please leave comments or email me about topics you would like me to write ! BTW I love cupcakes and coffee both :)
Follow me at twitter


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/C.20API.20(and.20its.20tests).html ---
I've been playing with the C-API (src/api/lean*.h) and feel that the tests may not be up to date wrt. to the current lean code base.
Should the code in src/tests/shared/ on master build and/or work?
Looking at env.c for instance it has "import standard open nat definition double (a : nat) := a + a check double 4 eval double 4" -- but that is missing # signs in front of check and eval for current syntax, and I can't find a standard module to import ...
The last commit in src/tests/shared
was in 2017 and was "remove standard.lean (unused, and confusing given stdlib)".
This old blog post https://homotopytypetheory.org/2015/12/02/the-proof-assistant-lean/ seems to indicate that in Lean 1 or 2, #check
was indeed check
. So it seems like you're looking at super-old code which has not been brought up to date with Lean 3.
That is what I guessed.
Still, reading the C api headers it seems that
lean_exception ex = 0; lean_env env; lean_options o; lean_ios ios; check(lean_options_mk_empty(&o, &ex)); check(lean_ios_mk_std(o, &ios, &ex)); check(lean_env_mk_std(LEAN_TRUST_HIGH, &env, &ex)); lean_env new_env; lean_ios new_ios; check(lean_parse_commands(env, ios, "import init", &new_env, &new_ios, &ex));
should not give me a "no log tree in scope" exception.
What am I missing?
My guess is you are missing Lean 4...
:)
Seriously, I would be happy without a 'convenient' C++ interface -- the C one seems good enough for what I have in mind for now, but it needs to work.
Not sure if this is helpful, but there is a Javascript interface https://github.com/leanprover/lean-client-js It's what the VScode extension uses, so presumably it works a bit better.
That is using the lean server socket interface, not libleanshared.dylib
I guess I'll dig into how the lean server is implemented -- I'm hopeful it's only a minor glitch in the implementation of the C API lean_env_mk_std
function.
Last updated: Apr 24 2020 at 19:02 UTC


GE Map App
Customer Name
{{listing.name}}
Detailed Information
{{detailedInfo.name}}
Address: {{detailedInfo.address}}
Phone: {{detailedInfo.phone}}


Id: 128
Name: Frankenstein's Monster
Status: Dead
Species: Alien
Type: Parasite
Gender: Male
OriginName: unknown
OriginUrl:
LocationName: Earth (Replacement Dimension)
LocationUrl: https://rickandmortyapi.com/api/location/20
Image: https://rickandmortyapi.com/api/character/avatar/128.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/15']
Url: https://rickandmortyapi.com/api/character/128
Created: 2017-12-26T19:24:56.679Z


ProtVista is a BioJS web-based widget that lays out, maps, orients, and renders position-based annotations for sequences. The result is a powerful visualization tool that can be easily integrated into web applications.
How to cite us: ProtVista: visualization of protein sequence annotations (doi: 10.1093/bioinformatics/btx120)


Topicstarter
Support for Safari would be greatly appreciated. I realize that this has been suggested (and rejected) before, but I implore you to reconsider.
Thank you for your time - Better Battlelog is a great addon and I'd love to see it on my preferred browser!
PombeGeek
BrainFooLong
Administrator
Hi! Sorry, no support for other browser yet and in the future.


|
Ventilator
|
Base class for all sensor types. More...
#include "sensors.h"
#include "pressure_sensor.h"
#include "O2_sensor.h"
#include "pressure_sensor.cpp"
#include "O2_sensor.cpp"
#include "ads1115_utils.c"
#include "./../3plibs/MsTimer2/MsTimer2.cpp"
Macros | |
| #define | MAX_PS2_SAMPLES 10 |
| #define | THRESHOLD_COMPARE_INDEX 2 |
| #define | DIP_THRESHOLD 15 |
| #define | ADS115_INT_PIN 6 |
Functions | |
| void | read_and_update_sensor_data (void) |
| int | ads1115_init () |
| int | sensors_init () |
| Function to initialize all modules in sensors. More... | |
| void | enable_sensor (unsigned int flag) |
| Function to enable specific sensors or Takes a parameter of different sensor combinations. More... | |
| int | read_sensor_data (sensor_e s, float *data) |
| Wrapper API to get specific sensor readings. More... | |
| int | check_for_dip_in_pressure (sensor_e sensor) |
| Function Checks the previous pressure readings and find if there are any dip in pressure. More... | |
Variables | |
| Adafruit_ADS1115 | ads (ADS1015_ADDRESS, ADS115_INT_PIN) |
| o2_sensor | g_o2 (NULL, OXYGEN_ANALOG_PIN) |
| unsigned int | enabled_sensors = 0 |
Base class for all sensor types.


Summary
"Computational thinking" is an alternative learning process for formulating and solving engineering problems. A unique set of abstractions are available to the learner in addition to those from mathematical and written language. We have developed an interactive textbook and problem sets using the Jupyter system of tools for 40 hours of in-class teaching and learning. These teaching materials are backed by a custom software library for mechanical vibrations designed to facilitate solving problems with computational thinking.
| Theme | Engineering Education | Current Researchers | |
| Last Worked On | December 2019 | Past Researchers | |
| Collaborators | Kenneth Lyons |
Associated Research Products
Books:
Blog posts:
Software:
Syllabi:


Recipe 3.2. Finding Last FridayCredit: Kent Johnson, Danny Yoo, Jonathan Gennick, Michael Wener ProblemYou want to find the date of last Friday (or today, if today is Friday) and print it in a specified format. SolutionYou can use the datetime module from Python's standard library to easily achieve this: import datetime, calendar lastFriday = datetime.date.today( ) oneday = datetime.timedelta(days=1) while lastFriday.weekday( ) != calendar.FRIDAY: lastFriday -= oneday print lastFriday.strftime('%A, %d-%b-%Y') # emits, e.g.: Friday, 10-Dec-2004 DiscussionThe handy little snippet of code in this recipe lets us find a previous weekday and print the properly formatted date, regardless of whether that weekday is in the same month, or even the same year. In this example, we're looking for the last Friday (or today, if today is Friday). Friday's integer representation is 4, but to avoid depending on this "magical number," we just import the Python Standard Library calendar module and rely instead on its calendar.FRIDAY attribute (which, sure enough, is the number 4). We set a variable called lastFriday to today's date and work backward until we have reached a date with the desired weekday value of 4. Once we have the date we desire, formatting the date in any way we like is easily achieved with the "string formatting" method strftime of the datetime.date class. An alternative, slightly more terse solution uses the built-in constant datetime.date.resolution instead of explicitly building the datetime.timedelta instance to represent one day's duration: import datetime, calendar lastFriday = datetime.date.today( ) while lastFriday.weekday( ) != calendar.FRIDAY: lastFriday -= datetime.date.resolution print lastFriday.strftime('%d-%b-%Y') The datetime.date.resolution class attribute has exactly the same value as the oneday variable in the recipe's Solutionthe time interval of one day. However, resolution can trip you up. The value of the class attribute resolution varies among various classes of the datetime modulefor the date class it's timedelta(days=1), but for the time and datetime classes , it's timedelta(microseconds=1). You could mix-and-match (e.g., add datetime.date.resolution to a datetime.datetime instance), but it's easy to get confused doing so. The version in this recipe's Solution, using the explicitly named and defined oneday variable, is just as general, more explicit, and less confusing. Thus, all in all, that version is more Pythonic (which is why it's presented as the "official" one!). A more important enhancement is that we don't really need to loop, decrementing a date by one at each step through the loop: we can, in fact, get to the desired target in one fell swoop, computing the number of days to subtract thanks to the wonders of modular arithmetic: import datetime, calendar today = datetime.date.today( ) targetDay = calendar.FRIDAY thisDay = today.weekday( ) deltaToTarget = (thisDay - targetDay) % 7 lastFriday = today - datetime.timedelta(days=deltaToTarget) print lastFriday.strftime('%d-%b-%Y') If you don't follow why this works, you may want to brush up on modular arithmetic, for example at http://www.cut-the-knot.org/blue/Modulo.shtml. Use the approach you find clearest, without worrying about performance. Remember Hoare's dictum (often misattributed to Knuth, who was in fact quoting Hoare): "premature optimization is the root of all evil in programming." Let's see why thinking of optimization would be premature here. Net of the common parts (computing today's date, and formatting and emitting the result) on a four-year-old PC, with Linux and Python 2.4, the slowest approach (the one chosen for presentation as the "Solution" because it's probably the clearest and most obvious one) takes 18.4 microseconds; the fastest approach (the one avoiding the loop, with some further tweaks to really get pedal to the metal ) takes 10.1 microseconds. You're not going to compute last Friday's date often enough, in your life, to be able to tell the difference at 8 microseconds a pop (much less if you use recent hardware rather than a box that's four years old). If you consider the time needed to compute today's date and to format the result, you need to add 37 microseconds to each timing, even net of the I/O time for the print statement; so, the range of performance is roughly between 55 microseconds for the slowest and clearest form, and 47 microseconds for the fastest and tersest oneclearly not worth worrying about. See Alsodatetime module and strftime documentation in the Library Reference (currently at http://www.python.org/doc/lib/module-datetime.html and http://www.python.org/doc/current/lib/node208.html). |


public class DefaultRandomEngine extends java.util.Random implements RandomEngine
| Constructor and Description |
|---|
DefaultRandomEngine()
Creates an instance of the default random engine with the current time as
seed.
|
DefaultRandomEngine(long seed)
Creates an instance of the default random engine with the given seed.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
decideBinaryDecision()
Decides a binary decision where both possibilities have the same
probability (This is equal to toss a fair coin).
|
boolean |
decideBinaryDecision(double probabilityYes)
Decides a binary decision with respect to the given probability of
deciding for yes.
|
boolean |
decideTakeFunction()
Decides if a function (true) or a terminal (false) should be generated.
|
double |
getDouble()
Returns a double between 0.0 and 1.0.
|
int |
getInt(int fromIncl,
int toExcl)
Returns a integer between from (inclusive) and to (exclusive)
|
<T extends GeneElement<?>> |
pickElement(java.util.ArrayList<T> elements)
Picks a element from the given set of elements using a uniform
probability distribution.
|
public DefaultRandomEngine()
public DefaultRandomEngine(long seed)
seed
- public boolean decideTakeFunction()
decideTakeFunction
in interface RandomEngine
public <T extends GeneElement<?>> T pickElement(java.util.ArrayList<T> elements)
pickElement
in interface RandomEngine
elements
- The gene elements from which an element should be chosen.public boolean decideBinaryDecision(double probabilityYes)
RandomEngine
decideBinaryDecision
in interface RandomEngine
probabilityYes
- The probability to say yespublic boolean decideBinaryDecision()
RandomEngine
decideBinaryDecision
in interface RandomEngine
public double getDouble()
RandomEngine
getDouble
in interface RandomEngine
public int getInt(int fromIncl, int toExcl)
RandomEngine
getInt
in interface RandomEngine
fromIncl
- The smallest possible returned inttoExcl
- The upper bound (exclusive)


Directions to Star Conference Room, 32-D463
The Star Conference room is on the 4th floor of the Dreyfoos Wing in
the Stata Center (Building 32).
Enter the Dreyfoos Tower (on Vasssar St.) and proceed straight ahead; there will be elevators to the right.
Take the elevators to the 4th floor; exit to the left and then turn right at the end of the elevator bank.
At the end of the short corridor, turn right, just before the R&D Dining room.
The Star Conference Room is straight ahead, just past a set of stairs.


Sunset Guide Luna:
I didn't expect to be meeting you like this. That devil seems to last forever! I can't rest until he is completely destroyed. I have something for you.
"What?"


{% extends 'base.html' %} {% block content %} {% include 'navbar.html' %}
Sign in to find out if that blockbuster movie that you want to watch tonight is already available at your fingertips


Man, 42, dies in Toronto shooting
Toronto police say they’re investigating a shooting that left one man dead early Saturday morning.
Police say officers in the area responded after hearing gunshots at around 1:45 a.m. and found a man suffering from serious wounds.
Investigators say Craig Campbell, 42, of Toronto, was rushed to hospital where he later died of his injuries.
They say the homicide team is investigating the incident.
Police are looking for a maroon SUV that was seen fleeing the area.
Detectives asking anyone with information to contact police.
Our Morning Update and Evening Update newsletters are written by Globe editors, giving you a concise summary of the day’s most important headlines. Sign up today .


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/squeeze_simp.html ---
@Simon Hudon To what extend do you think sed
and lean
could cooperate to automatically turn every simp
into a squeeze_simp
, and then every squeeze_simp
into a simp only
? Can we automate Kenny?
But we like Kenny!
I was thinking along those lines but I was thinking of adding a feature to the emacs Lean mode. I'm not how I would do it for VS code though. Do you know how to script it?
I don't know anything about VScode
But couldn't this just be a CLI-only thing?
For other purposes the output of squeeze_simp
is already very useful.

The difficult thing about using something like sed is detecting the end of the input squeeze_simp
But I guess we could output it in Lean
@Patrick Massot exactly
Sorry I read too quickly the beginning of this thread (I'm fighting dependent rw)
@Mario Carneiro has shown us how useful awk can be in these situations. Do you think if we output the beginning line and column number of the input, the ending line and column number of the input and the replacement, we can get awk to go in there and do the replacement? You'd probably also have to go from the last to the first if you want to do it in one go so that the line numbers don't get invalidated.
Sure, that should definitely be possible
I guess squeeze_simp
can get access to its location in the file via some tactic_state magic, right?
Or you make squeeze_simp
output a patch (-;
Then we can just commit it, and git takes care of the rest :lol:
I just looked into the patch file format. It seems like more work to format than to just do it ourselves
Ok, so how about your suggestion, with line+col numbers
I think the best bet is to use awk
but I'll have to learn it
Right now I'm experimenting with emacs to see if I can get a nice first approximation
awk
is not hard. Also, I wouldn't mind helping you.
We could use sed
to squeeze_simpify a .lean
file. After that, we run lean --make
on the file, and capture the stdout.
If squeeze_simp
can produce output of the form line:column:replacement_text
I think we can take it from there.
I was thinking of a format like this:
84:23: 86:0: --- BEGIN --- simp only [perm_cons, multiset.cons_coe, iff_self, multiset.coe_eq_coe, multiset.quot_mk_to_coe''] --- END ---
unix prefers to keep everything on 1 line.
In that case, how about line0:col0:line1:col1:replacement_text
?
Looks good
Unless we want to anticipate multiline replacement texts
That's what I'm looking at now. The replacement is sometimes multiline but there's no real reason to be. I'll restrict it to one line and let the user reformat if needed
There is no "user" if we run this in batch mode over 25 files.
But we can write a smart awk script
It can try to reformat that line, breaking on suitable ,
That's tricky because it might not be alone on its line
I can compute the old line length, and the new one, etc...
It definitely makes a trivial thing a lot harder
Let's leave it for the "future work" section
It might become necessary to have a Lean code formatter which would make all of that good work redundant
Yep, sounds good
This proof engineering stuff is so funny. We're tweaking eternal truths :P
As impatient as I get with Lean and mathlib, it's pretty great that it finds my mistakes faster than my supervisor :D
Are there other "tactics with output" where this kind of tooling would also be useful? Maybe tidy
?
tidy
already makes output
I'll be reading a bit of Milne to my kids... see you guys soon!
Have fun!
Indeed, what I mean is the output format being discussed here something we should also consider for e.g. tidy
?
That could be useful. It might be more useful for tidy
to have it tied into the IDE because you probably don't use tidy
en masse
Where are you printing the replacement text? Trace messages?
Yes exactly
It's pretty easy to hook them up in vscode: in the extension, you just need to return a list of code actions. Then you can execute these replacements with ctrl+.
(similar to holes, which are also implemented using code actions in the extension).
Emacs gives the line and column of the command issuing the trace. Does VS code also do the same?
A few suggestions for the format: it should not occur by accident (in a simp trace e.g.). And it would be nice to have a (textual) description for the replacement (vscode shows this in the dropdown). Ideally also the kind of code action, e.g. vscode can apply all quickfixes in a given file automatically.
We have access to the same position information, yes. However it only includes the start position of the tactic unfortunately.
Does it run them backward so that the line numbers remain valid?
Good question. I don't really know. If we do one-line replacements then it shouldn't matter too much.
In the parser cur_pos
can give me an arbitrary position. I'm putting it at the end and it gives me a good approximation
Ooh, this is nice. Can we just get a generic hook for writing things from lean?
I got a strange squeeze_simp
behavior, where the trace output does not has the same effect as the original one. The example is as follows (in a complete lattice):
theorem Inf_sup_Inf : Inf s ⊔ Inf t = Inf ((λp : α × α, p.1 ⊔ p.2) '' (set.prod s t)) := begin apply le_antisymm, { squeeze_simp, sorry }, { sorry } end
After squeeze_simp
, the goal is
∀ (b x x_1 : α), x ∈ s → x_1 ∈ t → x ⊔ x_1 = b → Inf s ≤ b ∧ Inf t ≤ b
But if I copy the trace formula (hey, I never noticed that it looks like real math:) given by squeeze_simp
, i.e.,
simp only [and_imp, set.mem_image, set.mem_prod, lattice.le_Inf_iff, exists_imp_distrib, lattice.sup_le_iff, prod.exists],
then I get the double goal
(∀ (b x x_1 : α), x ∈ s → x_1 ∈ t → x ⊔ x_1 = b → Inf s ≤ b) ∧ ∀ (b x x_1 : α), x ∈ s → x_1 ∈ t → x ⊔ x_1 = b → Inf t ≤ b
Any idea for the reason of this behavior?
Can you open an issue and put up a MWE? I'll look into it.
Done.
If you remove lattice.sup_le_iff
from the list, you get the same effect as not having simp only
. I don't get why squeeze_simp
suggests it. I'll keep working on it
I'm not sure it is worth trying for 100% fidelity in translating squeeze_simp
to an appropriate simp only
. The commands are complicated and almost nondeterministic, so I'm not at all surprised that there are edge cases where it doesn't work, and also suggested rewrites that don't need to be in the rewrite list. You should take the output of squeeze_simp
as a base for revision rather than an actual reliable representation of what was used.
Last updated: Apr 24 2020 at 19:02 UTC


Instance Segmentation Training Pipeline
Instance Segmentation Pipeline was developed in order to enable using the MMDetection framework by means of Musket ML.
This package is not yet completely ready for production use
Installation
pip install git+https://github.com/musket_ml/instance_segmentation_pipeline
Note: this package requires python 3.6
This package is not a part of Musket ML framework yet,
Launching
Launching experiments
fit.py
script is designed to launch experiment training.
In order to run the experiment or a number of experiments,
A typical command line may look like this:
musket fit --project "path/to/project" --name "experiment_name" --num_gpus=1 --gpus_per_net=1 --num_workers=1 --cache "path/to/cache/folder"
--project points to the root of the project
--name is the name of the project sub-folder containing experiment yaml file.
--num_gpus sets number of GPUs to use during experiment launch.
--gpus_per_net is a maximum number of GPUs to use per single experiment.
--num_workers sets number of workers to use.
--cache points to a cache folder to store the temporary data.
Other parameters can be found in the fit script reference
Launching tasks
task.py
script is designed to launch experiment training.
Tasks must be defined in the project python scope and marked by an annotation like this:
from musket_core import tasks, model
@tasks.task
def measure2(m: model.ConnectedModel):
return result
In order to run the experiment or a number of experiments,
A typical command line may look like this:
python -m musket_core.task --project "path/to/project" --name "experiment_name" --task "task_name" --num_gpus=1 --gpus_per_net=1 --num_workers=1 --cache "path/to/cache/folder"
--project points to the root of the project
--name is the name of the project sub-folder containing experiment yaml file.
--task is the name of the task function.
--num_gpus sets number of GPUs to use during experiment launch.
--gpus_per_net is a maximum number of GPUs to use per single experiment.
--num_workers sets number of workers to use.
--cache points to a cache folder to store the temporary data.
Other parameters can be found in the task script reference
Launching project analysis
analize.py
script is designed to launch project-scope analysis.
Note that only experiments, which training is already finished will be covered.
musket analize --inputFolder "path/to/project"
--inputFolder points to a folder to search for finished experiments in. Typically, project root.
Other parameters can be found in the analyze script reference
Usage guide
Dataset format
The pipline must be used with datasets which return prediction items of certain structure.
Suppose that our prediction item represents a training example with some image and N
objects on it.
x
must contain image data represented by a numpy array of shape(height, width, 3)
.y
must be a tuple(labels, bboxes, masks)
wherelabels
is a lengthN
one dimansional numpy array of integers which contains object labels. Note that zero label is reserved for background.bboxes
is a float array of shape(N, 4)
which contains object bounding boxes. Note that bounding box coordinates order must be[minY, minX, maxY, maxX]
.masks
is an integer or boolean numpy array of shape(N, height, width)
which contains object masks. Note that integer mask should contain1
for object pixels and0
for background.
Training a model
Let's start from the absolutely minimalistic example. Let's say that you have two folders, one of them contains jpeg images, and another one - png files with segmentation masks for these images. And you need to train a neural network that will do segmentation for you. In this extremely simple setup all that you need is to type following 5 lines of python code:
from musket_core import generic
from get_some_gataset import getDataset
ds = getDataset #some dataset which has the required format
cfg = generic.parse("config.yaml")
cfg.fit(ds)
Looks simple, but there is a config.yaml
file in the code, and probably it is the place where everything actually happens.
#%Musket MMDetection 1.0
classes: 46
shape: [800, 1333]
imagesPerGpu: 1
folds_count: 1
testSplit: 0.1
stages:
- epochs: 3
dataset:
getTrain2:
configPath: '../../data/configs/htc/htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e-1.py'
weightsPath: '../../data/checkpoints/Hybrid-Task-Cascade-(HTC)/htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e_20190408-0e50669c-nohead.pth'
General train properties
The following property is required to set:
configPath path to MMDetection config.
The following ones are optional, but commonly used:
classes sets the number of classes that should be used.
shape set the desired shape of the input picture and mask, in the form heigth, width, number of channels. Input will be resized to fit.
weightsPath path to initial weights of the model.


Hi you all,
My name is Dat and I am from Vietnam. At first I explored Linux as a hobby but eventually, I am using Linux on everything I can now (my PC, laptop or Raspberry Pi). I created this site for the love of Ubuntu and Openbox. Being able to share about them with you here is pure awesomeness. Hope you will enjoy the website and found it helpful! Best regards,
Dat H. N.
Why Ubuntu?
I am choosing Ubuntu because it is the most recognizable name in Linux world. The target readers of this website are those have been using pre-configured Linux operating systems (Ubuntu, Kubuntu, Debian, openSUSE…) and have had a general idea of what Linux is all about. But newbies is okay too!
And it is also for those whose seek the way to install of a Operating System which contains only what they want.
That is the truly freedom I am talking about. Why Openbox?
First and foremost: Openbox is Awesome!
And next:
To busting a bit of the myth of “how the components of your Ubuntu system working together”.
Because a Windows Manager only gives you a “box” on the screen in which your program will run, you will have the space to add all the other parts of the OS on your own.
Through that experience, you can learn a lot.