Guest Blog [Muhammad Shujaat Siddiqi]: Entity Framework Code First DbContext - Validation
Introduction
In this post we will be discussing how DbContext API helps us in validation of entities in Entity Framework Code First workflow. The API allows various options to define validation of entities and their properties. It also makes it easier to execute these validations providing validation results. We are going to be using some basic entities in a simple Institute and introduce various forms of validations using different options available in the framework. The whole intent is to learn these available options. In a real world example you might be more or less inclined to be using any of these options.
Prerequisite
In order to keep focus on the validation discussion, let’s build on top of already existing example code. You can find the download here:
https://github.com/msiddiqi/EFCodeFirstValidation
The download is a simple console application with the following:
- Added Nuget packages ’Entity Framework 4.3.1, SQL Server Compact and EntityFramework.SqlServerCompact. These Nugets would take care fo adding all the related assemblies to the project.
- Added a SQL Server Compact database file, named InstituteDB. We needed to add the connection string in app.config.
- Added a Student and Department POCO type and InstituteEntities [DbContext] with DbSet<Student> and DbSet<Department>.
Enabling Validation for Entities
DbContext supports turning on or off the validation feature. By default, this is enabled.
This can be turned on and off during the lifetime of the application based on our requirements. We can set it in the constructor of DbContext as follows:
We can also control this based on the entity type. Let’s assume that we don’t want any validation for Student Entity. We just need to override ShouldValidateEntity() method of DbContext and make such decisions there.
Currently this is used with DbContext.SaveChanges() and DbContext.GetValidationErrors() only for added / modified entities. It would be better in future versions if it is used with DbEntityEntry as well. This would enable us to be making decisions when a single entity or its property is being validated on-demand.
Defining Validations
EF Code first supports various ways to define the validations. We can define validation details using available data annotation validation attributes, Fluent API configurations and implementation of IValidatableObject interface. The greatest thing is that Entity Framework provides all these different options to define validation of our entities. It combines all these implementations when the validation logic is being executed.
Data Annotation Attributes
As we discussed above, Entity framework code first entities can be decorated with Data Annotation attributes. Most of these attributes come from DataAnnotations assembly. EF team also has added a few attributes. In the future, they might also make their way into the main DataAnnotation library. Still they are in the same namespace i.e. System.ComponentModel.DataAnnotations.
It’s definitely adulteration of entities with validation attributes. But I think it should be fine until we use an attribute from Entity Framework library as that makes us dependent on the framework which is definitely we wanted to avoid as we are very careful about P in our POCO [Plain Old Clr Object]. But we can have the best of both worlds. This can be achieved using Associated Metadata [buddy] classes [See Julia Lerman’s book: DbContext].
http://www.shujaat.net/2012/03/associated-metadata-buddy-classes-in-c.html
So we would be keeping the data layer clean with our POCO entities. We would not be adding any validation attributes there. Now we would be adding separate buddy classes for our entities. We will be adding DataAnnotation attributes to our properties there. At compile time, these attributes are applied to the entities and then used by Entity Framework runtime. Zindabad!
Similarly, we can define validation for Department. Let’s make sure that all the departments have their name following a certain format. So Electrical Engineering should be entered as “Department of Electrical Engineering”.
Now we need to associate these metadata classes to our entities so that Entity Framework pick them up for validation. A type can be decorated with MetadataTypeAttribute for specifying the associated metadata class. Now we can directly specify [Metadatatype(typeof(StudentAssociatedMetadata)] with the class but some developers would consider even this as adulteration of their POCO types.
We can still utilize these associated classes by defining our entities as partial classes. Now one part of the partial class would be a simple POCO. The other part might have this association defined.
Fluent API
Entity Framework Code First allows us to define validation with Fluent API as well. Compared to the other features of EF Code First, Fluent API seems to be more limiting and there are only certain validations that you might add to an entity using Fluent API. This is unlike other features where Fluent API is more powerful. Like in our example there are no counterparts of adding range and regular expression validation details to a property using Fluent API. But still we can define other validations including the maximum and minimum length of a string.
DbContext allows to define entities configuration to be further defined. This is just before the model is created using DbSet and their associated members by Entity Framework Code First workflow API. In the above code, we added configuration to Department entity that the maximum length of DepartmentName property must not be more than 25. DbContext also allows configuration of entities to be defined separately using EntityTypeConfiguration<EntityType>. The same is used for Student entity. It can be defined as follows:
Now Code First would use this configuration to generate Database (if required). But it would also use these configurations to check if it is worth a trip to database and cause failure by checking the entities’ data with validation related configurations.
Using IValidatableObject
EF Code First workflow also supports IValidatableObject as introduce in .net framework 4.0 in System.ComponentModel.DataAnnotations. The definition of IValidatableObject just provides a contract with Validate method as follows:
Here ValidationContext and ValidationResult are introduced in .net framework 4.0. Let’s validate if City is not empty in Student’s address.
If there is a Student entity with empty city information then the validation would result in failure with error message: “City can not be empty”.
Using CustomValidationAttribute for Validation
CustomValidationAttribute is introduced in .net framework 4.0. These attributes can be applied on the type or property level. Let’s make sure that only those students are declared outstanding whose GPA is more than 3.7.
We can add this attribute to one of Student partial class defined for EF Code First validation.
We can also use custom validation attributes for properties of an entity.
Introducing Customized ValidationAttribute:
We can also introduce new specialized validation attributes. They need to be inherited from ValidationAttribute. We just need to override one of the IsValid() method.
Basically ValidationAttribute was introduced in .net framework 3.5 sp1. Based on the implementation of then released framework we needed to inherit method pair [IsValid() - FormatErrorMessage()] in order for a Validation framework to check for validation and customized error message in case of validation failure. In .net framework 4.0, various other types are also introduced to better support validation. They also include ValidationContext [an implementation of IServiceProvider] and ValidationResult. ValidationAttribute is also enhanced to support these types by introducing a new overload for IsValid().
Wait a minute!! Can overloaded method have return types as the previous one was returning bool? Yes they can!!! If they don’ t only differ by return types. They sure can, if the parameter list is also different. The compiler is definitely not confused which implementation to call as it can easily infer this based on the arguments supplied for the call.
This new overload is better for a lot of different reasons. Let’s discuss them:
- It provides an additional parameter of type ValidationContext. In our case, this is the type encapsulating the property for which this attribute is added. It might also be a proxy of the entity if it is enabled. Anyway, you have the Student instance. You can make use of any other property from the same instance using ValidationContext.ObjectInstance.
- Return type = ValidationResult – Don’t need to implement FormatMessage
- Non-Virtual Interface [NVI] pattern as the virtual method is protected instead of public.
We can update the associated metadata class for Student to include additional attribute for LastName property as follows:
We have included this attribute in the associated metadata class for Student entity.
Implicit Validation Execution
It gets executed implicitly when SaveChanges() is called. Obviously, we need to have this turned on by using DbContext.Configuration.ValidateOnSaveEnabled. If it fails validation then calling DbContext.SaveChanges() would cause DbEntityValidationException.
But we don’t have to wait until SaveChanges() is called and result in exception. EF Code first Validation can also be executed explicitly for all the entities tracked by DbContext. It can also be executed for an individual entity using DbEntityEntry. Doing this would not show weird exception dialog to the user wondering what he should do.
We definitely need to handle this gracefully by handling this exception and doing the appropriate action i.e. showing the validation result to the user specifying the details of the issue. We can also log the issue.The user can correct the entry and again try to save the data. Since the failed validation from DbContext.SaveChanges() always results in DbEntityValidationException, we can handle the validation failure using a try / catch block.
where the definition of DbEntityValidationExceptionMessageParser can be as follows:
Here DbEntityValidationMessageParser has three overloads of GetErrorMessage(). They are all internal as we don’t expect them to be used outside the data layer assembly. All of them are supposed to generate error message using DbValidationError provided directly from the method argument or obtained through DbEntityValidationResult, which in-turn, can be obtained from DbEntityValidationException.
On-Demand Validation
We can also execute validation logic explicitly. We don’t have to wait for exception when DbContext.SaveChanges() is called. We can get all the issues with the updated data [added / modified entities].
Validating an Entity
We can use DbEntityEntry to find out all the validation errors for an entity. In the following example we are creating a Student entity. We are updating some properties of the entity and adding it to the DbContext. DbEntityEntry.GetValidationResult() returns the validation issues as DbEntityValidationResult. It holds the validation errors in ValidationErrors property [ICollection<DbValidationError>]. If there is any validation error then IsValid property returns false.
Here we are creating entities of Student and Department type. After adding it to the context we are checking validation issues of Student entity using DbEntityEntry created for the entity. As you can see there are validation issues with Department entity as well but only the issues [DbEntityValidationResult] with Students are queried using DbEntityEntry.GetValidationErrors(). Later it is parsed in a string using DbEntityValidationMessageParser.GetErrorMessage() defined above and printed on the console.
Validating a Property
Entity Framework Code First supports limiting the scope of validation checks even further. We can even check if there are validation issues with the value of a certain property of an entity without even worry about any other property of the entity.
Here more than one properties of Student entity have validation issues. We are interested with checking for only StudentLastName property.
Validating all Entities tracked by DbContext
We might also want to check for validation for all the entities tracked by the context. DbContext.GetValidationErrors(). This returns an IEnumerable<DbEntityValidationResult> which can be used to get the actual errors and show them to the user if so desired.
Again we are creating the same entities as previous examples and adding them to DbContext. There are deliberate issues with the values assigned to the properties. Then we are finding the issues using DbContext.GetValidationErrors() and printing it on the console. This would result in more meaningful message to the user about the actual issue with the data.
Summary
Entity Framework Code First DbContext API provides a comprehensive support for validating entities before they are being pushed to the database. The also allow on-demand validation of entities and their properties. It also supports turning off these validations.
About the Author
Muhammad is a passionate blogger. He loves to explore various technologies and discuss their amazing features with the other software enthusiasts. He is a co-author of MVVM Survival Guide for Enterprise Architectures in Silverlight and WPF. [Blogs http://shujaat.net; Twitter: @SiddiqiMuhammad]


Where you can find my work online.
- Innocent Words Magazine
- Ballard Vox
- Instagram
- Facebook
My top ten favorite bands I photographed this year.
- Pearl Jam
- Thunderpussy
- Israel Nash
- Sera Cahoone
- Marissa Nadler
- Delvon LaMarr Organ Trio
- Mudhoney
- Red Fang
- Car Seat Headrest & Naked Giants
- Afghan Whigs


Contentful Styleguide
Here we will gather common UI elements so they can be easily used for the development of custom widgets.
You can include the stylesheet as
<link
rel="stylesheet"
type="text/css"
href="https://contentful.github.io/ui-extensions-sdk/cf-extension.css">
We also distribute the CSS file as part of the NPM package. You can find in in
./dist/cf-extension.css
.


Processing returned metadata results is pretty straight-forward—objects returned can be traversed and accessed like any other objects. However, there are three things about returned results you need to be aware of:
Top-level response classes—GnResponseAlbums
, GnResponseTracks
, GnResponseContributors
, GnResponseDataMatches
—contain a "needs decision" flag. In all cases, Gracenote returns high-confidence results based on the identification criteria; however, even high-confidence results could require additional decisions from an application or end user. For example, all multiple match responses require the application (or end user) make a decision about which match to use and process to retrieve its metadata. Therefore, the GNSDK flags every multiple match response as "needs decision".
A single match response can also need a decision. Though it may be a good candidate, Gracenote could determine that it is not quite perfect.
In summary, responses that require a decision are:
Example needs decision check (C++):
GnResponseAlbums response = music_id.FindAlbums(albObject); needs_decision =response.NeedsDecision(); if(needs_decision) { /* Get user selection. Note that is not an SDK method */ user_pick = doMatchSelection(response); }
Objective-C:
/* Perform the query */ GnResponseAlbums *response = [musicId findAlbumsWithGnDataObject:dataAlbum error:&error]; if ( [[response albums] allObjects].count != 0) { needsDecision = [response needsDecision]; /* See if selection of one of the albums needs to happen */ if (needsDecision) { // Get User selection. Note that is not an SDK method choiceOrdinal = [self doMatchSelection:response]; } // ... }
A query response can return 0-n matches. As indicated with a fullResult
flag, a match can contain either full or partial metadata results. A partial result is a subset of the full metadata available, but enough to perform additional processing. One common use case is to present a subset of the partial results (for example, album titles) to the end user to make a selection. Once a selection is made, you can then do a secondary query, using the partial object as a parameter, to get the full results (if desired).
Example followup query (C++):
/* Get first match */ GnAlbum album = response.Albums().at(0).next(); bool fullResult = album.IsFullResult(); /* If partial result, do a follow-up query to retrieve full result */ if (!fullResult) { /* Do followup query to get full data - set partial album as query input. */ GnResponseAlbums followup_response = music_id.FindAlbums(album); /* Now our first album has full data */ album = followup_response.Albums().at(0).next(); }
Objective-C:
GnAlbum *album = [[[response albums] allObjects] objectAtIndex:choiceOrdinal]; BOOL fullResult = [album isFullResult]; /* if we only have a partial result, we do a follow-up query to retrieve the full album */ if (!fullResult) { /* do followup query to get full object. Setting the partial album as the query input. */ GnResponseAlbums *followupResponse = [musicId findAlbumsWithGnDataObject:dataAlbum error:&error]; /* now our first album is the desired result with full data */ album = [[followupResponse albums] nextObject]; // ... }
Note that, in many cases, the data contained in a partial result is more than enough for most users and applications. For a list of values returned in a partial result, see the Data Model in the GNSDK API Reference.
GNSDK provides locales as a convenient way to group locale-dependent metadata specific to a region (such as Europe) and language that should be returned from the Gracenote service. A locale is defined by a group (such as Music), a language, a region and a descriptor (indicating level of metadata detail), which are identifiers to a specific set of lists in the Gracenote Service.
There are a number of metadata fields that require having a locale loaded. For more information, see "Loading a Locale".


Automation Framework - passiveScan-wait Job
This job waits for the passive scanner to finishing scanning the requests and responses in the current queue.
You should typically run this job after the jobs that explore you application, such as the spider jobs or those that import API definitions.
If any more requests are sent by ZAP or proxied through ZAP after this job has run then they will be processed by the passive scanner.
You can run this job as many times as you need to.
YAML
- type: passiveScan-wait # Passive scan wait for the passive scanner to finish
parameters:
maxDuration: 5 # Int: The max time to wait for the passive scanner, default: 0 unlimited
Job Data
The following class will be made available to add-ons that provide access to the Job Data such as the Reporting add-on.
Note that in this case the data is from the currently enabled Passive Scan rules, regardless of whether they have been used as a result of the Automation Framework, the UI, or the API.


I am currently studying Mathematics at the University of Hull. I started to play around with designs in my spare time and decided to turn this into a small business. Now I sell my products in 8 outlets in Hull, Cottingham, Beverley & Little Weighton.
I am currently looking into expanding using different materials to create a wider range of products. I deal in graphic design, designing prints, postcards, notebooks and mugs, and am currently venturing into textiles.


I've always been intruiged by technology in one way or another. As a child, I would often sit on my living room couch watching How It's Made with a bag of Lays ketchup chips by my side. So did such an unguided how did I end up in the field of Computer Science? I remember being appaled and overwhelmed by the idea of having to decide what I want do for the rest life at the age of 17. So I took a gambit; I was strong in mathematics, and enjoyed spending my free time on the computer. After putting two and two together, I wasn't a coding prodigy who managed to learn eight different languages by the age of 15.


Smart Store
A showcase of your favorite smartwatches!
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Works with recent versions of Chrome or Firefox, may work with opera too (not tested)
Also, before you enable microphone input either plug in headphones or turn the volume down if you want to avoid ear splitting feedback!


< prev index next > modules/javafx.web/src/main/native/Source/ThirdParty/libxml/src/include/libxml/xlink.h
Print this page
*
* NOTE: the link detection layer will try to resolve QName expansion
* of namespaces. If "foo" is the prefix for "http://foo.com/"
* then the link detection layer will expand role="foo:myrole"
* to "http://foo.com/:myrole".
- * NOTE: the link detection layer will expand URI-Refences found on
+ * NOTE: the link detection layer will expand URI-References found on
* href attributes by using the base mechanism if found.
*/
typedef xmlChar *xlinkHRef;
typedef xmlChar *xlinkRole;
typedef xmlChar *xlinkTitle;
< prev index next >


This is a small app to present multiple Gif images of a topic.
I selected some characters of Dragon Ball, try anything. This is rated for everyone. (G)
This Button will add your topics.
Once you have added a Topic and clicked on its button GIFS will appear.
Tap on any and they will animate. Tap again and they will stop.
This Button will clear all topics.
Enjoy!


Category Index
Python
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Mistakes
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Writeups
Getpass
Irc
Hexchat
Programming
Paramiko
Projects
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Espionage
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Shodan
Elasticsearch
Exploit
Vulnerability
Sctp
Evasion
Vpn
Iot
Botnets
Mirai


---
layout: null
section-type: about
title: About
---
## About
I studied the brain through big data and high dimensional mathematics. I improved my data practices from [Brainhack events](https://brainhack.org/) and the [ReproNim/INCF fellowship](https://www.repronim.org/), now I hope to make some contributions outside of academia.
This website is built from the personal jekyll theme. You can click on the following links to star and fork the original repo to replicate the website for your own.


Enterprise AI for Predictions and Insights
TabuLearn is an Enterprise AI solution powered by proprietary AutoML engine which allows anyone who has data build state-of-the-art and Explainable AI models without knowledge of Machine Learning or Data Science.


Multi-processing Example¶
Scripting style¶
Start with working code that is clear, simple, and runs top to bottom. This is easy to develop and test incrementally.
import urllib.request
sites = [
'https://www.yahoo.com/',
'http://www.cnn.com',
'http://www.python.org',
'http://www.jython.org',
'http://www.pypy.org',
'http://www.perl.org',
'http://www.cisco.com',
'http://www.facebook.com',
'http://www.twitter.com',
'http://www.macrumors.com/',
'http://arstechnica.com/',
'http://www.reuters.com/',
'http://abcnews.go.com/',
'http://www.cnbc.com/',
]
for url in sites:
with urllib.request.urlopen(url) as u:
page = u.read()
print(url, len(page))
Function style¶
import urllib.request
sites = [
'https://www.yahoo.com/',
'http://www.cnn.com',
'http://www.python.org',
'http://www.jython.org',
'http://www.pypy.org',
'http://www.perl.org',
'http://www.cisco.com',
'http://www.facebook.com',
'http://www.twitter.com',
'http://www.macrumors.com/',
'http://arstechnica.com/',
'http://www.reuters.com/',
'http://abcnews.go.com/',
'http://www.cnbc.com/',
]
def sitesize(url):
''' Determine the size of a website '''
with urllib.request.urlopen(url) as u:
page = u.read()
return url, len(page)
for result in map(sitesize, sites):
print(result)
Note
A good development strategy is to use map to test the code in a single process and single thread mode before switching to multi-processing.
What is parallelizeable?¶
A key pattern of thinking is to divide the world into to “lawn mowing” versus “baby making” – identifying tasks that are significantly parallelizeable versus those that are intrinsically serial.
Amdahl’s Law (according to wikipedia):
Amdahl’s law is often used in parallel computing to predict the theoretical speedup when using multiple processors. For example, if a program needs 20 hours using a single processor core, and a particular part of the program which takes one hour to execute cannot be parallelized, while the remaining 19 hours (p = 0.95) of execution time can be parallelized, then regardless of how many processors are devoted to a parallelized execution of this program, the minimum execution time cannot be less than that critical one hour. Hence, the theoretical speedup is limited to at most 20 times(1/(1 − p) = 20)
. For this reason parallel computing is relevant only for a low number of processors and very parallelizable programs.
Detailed example:
def sitesize(url):
''' Determine the size of a website
This is non-parallizeable:
* UDP DNS request for the url
* UDP DNS response
* Acquire socket from the OS
* TCP Connection: SYN, ACK, SYN/ACK
* Send HTTP Request for the root resource
* Wait for the TCP response which is broken-up
into packets.
* Count the characters of the webpage
This is a bit parallizeable:
Do ten times in parallel (channel bonding):
1) DNS lookup (UDP request and resp)
1) Acquire the socket
2) Send HTTP range requests
3) The sections comes back in parallel
across different pieces of fiber.
http://stackoverflow.com/questions/8293687/sample-http-range-request-session
4) Count the characters for a single
block as received.
Add up the 10 results!
'''
u = urllib.request.urlopen(url)
page = u.read()
return url, len(page)
Pools of processes¶
import urllib.request
from multiprocessing.pool import ThreadPool as Pool
# from multiprocessing.pool import Pool
sites = [
'https://www.yahoo.com/',
'http://www.cnn.com',
'http://www.python.org',
'http://www.jython.org',
'http://www.pypy.org',
'http://www.perl.org',
'http://www.cisco.com',
'http://www.facebook.com',
'http://www.twitter.com',
'http://www.macrumors.com/',
'http://arstechnica.com/',
'http://www.reuters.com/',
'http://abcnews.go.com/',
'http://www.cnbc.com/',
'http://www.cnbc.com/',
]
def sitesize(url):
''' Determine the size of a website '''
with urllib.request.urlopen(url) as u:
page = u.read()
return url, len(page)
pool = Pool(10)
for result in pool.imap_unordered(sitesize, sites):
print(result)
Note
The imap_unordered
is used to improve responsiveness.
Note
The use of imap_unordered
is made possible by
designing the function to return both its argument and its
result as a tuple.
Hazards of thin channel communication (SQL Version)¶
Note
Don’t make too many trips back and forth
Note
Do significant work on each trip
Note
Don’t send or receive a lot of data
###########################################################################################
# Bringing too much back and not doing enough work while you are there
summary = collections.Counter()
for employee, dept, salary in c.execute('SELECT employee, dept, salary FROM Employee')
summary[dept] += salary
###########################################################################################
# Too many trips back and forth
summary = dict()
for dept in c.execute('SELECT DISTINCT dept FROM Employee'):
c.execute('SELECT SUM(salary) FROM Employee')
summary[dept] = c.fetchone()[0]
###########################################################################################
# Right way is one trip with where a lot of work gets done and only a summary result in returned
summary = dict(execute('SELECT dept, SUM(salary) FROM Employee GROUPBY dept'))
Performance hazards for multi-processing¶
###########################################################################################
# Too many trips back and forth
# If the input iterable to map is very large, it suggests you're making too many trips
def sitesize(url, start):
req = urllib.request.Request()
req.add_header('Range:%d-%d' % (start, start+1000))
u = urllib.request.urlopen(url, req)
block = u.read()
return url, len(block)
###########################################################################################
# Not doing enough work relative to the travel time
# Once you get to a process, be sure to do enough work to make the trip worthwhile
def sitesize(url, results):
with urllib.request.urlopen(url) as u:
while True:
line = u.readline()
results.put((url, len(line)))
###########################################################################################
# Taking too much with you or bringing too much back
def sitesize(url):
u = urllib.request.urlopen(url)
page = u.read()
return url, page
Other Multi-processing notes¶
Note
Never run a multi-processing example from within an IDE that runs in the same process as the code you are developing. Otherwise, the forking step will fork the IDE itself as well as your code.
Note
When partitioning into subtasks, a common challenge is how to handle data at the boundaries of the partition.
Note
Setting the number of processes is a bit of an art. If the code is CPU bound, the number of cores times two is a reasonable starting point. If the code is IO bound, the number of cores can be much higher. Experimentation is the key.


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All content related to these submissions will also be deleted. This includes reviews, determinations and comments.
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The Seattle-based Internet commerce behemoth is considering building a massive second base that would create 50,000 new jobs with average pay in excess of $100,000. Jurisdictions across the country — including Baltimore, Columbia and Prince George’s County — are getting ready to engage in a bidding war.
Amazon is encouraging states and metropolitan areas to coordinate and submit one bid for an entire region. The bid can “contain multiple real estate sites” but the company encourages local and state governments to focus on the best option.
Key city and state officials are now focusing on attempting to lure the company to Port Covington in South Baltimore, where Under Armour CEO Kevin Plank is planning a $5.5 billion development that will be home of a new campus for the nation's No. 2 sports apparel company.
Plank’s Sagamore Development Co. also plans restaurants, shops, housing and manufacturing space at the 260-acre site, which is also home of The Baltimore Sun’s printing press. The Sun has a long-term lease on the facility.
Sagamore officials have been meeting with government leaders to shore up support for the site.
But does Baltimore have the environment needed to win the Amazon bid? Below we compare the criteria the company put forth in its request for proposals with what the city has to offer.
1. Amazon says it has a “preference” for a metropolitan area with more than 1 million people.
Metro areapopulation:2.8 million
While Baltimore has more than 600,000 people, the greater metropolitan area has a population of about 2.8 million.
AMAZON LOCATIONS NEAR BALTIMORE
There are currently five Amazon locations in Maryland, Delaware and Northern Virginia, including fulfillment and warehousing facilities in Middletown, Delaware; New Castle, Delaware; Baltimore, Maryland; and North East, Maryland. There is also a software development center located in Herndon, Virginia.
2. Amazon says it is seeking a “stable and business-friendly environment.”
Baltimore unemployment rate
According to the Bureau of Labor Statistics, the Baltimore-Columbia-Towson metro area ranks 167 in the U.S. in terms of unemployment rates for metropolitan areas. Maryland ranks 18th out of U.S. states for unemployment. Maryland’s unemployment rate is 3.9 percent. The national rate is 4.4 percent.
Maryland unemployment rate
Source: Bureau of Labor Statistics
After years of job losses, Baltimore’s economy has stabilized and is improving. According to state labor statistics, the city has added about 18,000 jobs over the past five years, while unemployment has dropped from 10.9 percent to 6.2 percent.
Maryland’s unemployment rate is 3.9 percent. The national rate is 4.4 percent.
Whether the city is “business-friendly” is a different question. Baltimore’s property tax rate is more than double the rest of Maryland and the city charges some fees, such as a bottle tax, that are either much higher than other jurisdictions or don’t exist elsewhere.
That said, the city has cut special deals with certain businesses that give them a highly advantageous tax rate, such as the $1 annual property tax charged to the Marriott Waterfront Hotel in Harbor East. When Amazon opened a warehouse in Southeast Baltimore several years ago, city and state officials offered more than $43 million in subsidies. So, the company has chosen to go into business here before.
Amazon’s request for bids states that special deals like those are desired: “Incentives offered by the state/province and local communities to offset initial capital outlay and ongoing operational costs will be significant factors in the decision-making process.”
“We’re really competing against other metro areas,” said William H. Cole IV, the president of the Baltimore Development Corp. “We show very favorable in terms of cost of business and cost of living.”
3. Amazon says it wants a location with “the potential to attract and retain strong technical talent.” It says a “highly educated labor pool is critical and a strong university system is required.”
Education level of Baltimore adults 25 and older, 2011-2015
Education level of Maryland adults 25 and older, 2011-2015
Source: U.S. Census Bureau
About one-third of Baltimore residents have a college degree, as do 43 percent of Baltimore County residents. The area is also home to more than a dozen universities and colleges, including the highly competitive Johns Hopkins University. The Baltimore-Towson-Columbia metro area combined to rank No. 18 on the national list of most educated cities, as compiled by WalletHub.com.
The city, however, has struggled for years to retain population, while the suburbs have grown. Last year, Baltimore lost an estimated 6,000 residents.
4. Amazon states it wants to work with “communities that think big and creatively when considering locations and real estate options.”
How Baltimore fares on this criterion will likely depend on the level of creativity in the city’s bid. Baltimore officials have worked on major development projects in the past, including helping build Oriole Park at Camden Yards, Harborplace and the planned Port Covington redevelopment.
Cole said dozens of people in city, state and local governments — as well as the private sector — are working on the Port Covington bid. City officials have already approved public financing for infrastructure there — a $660 million tax-increment-financing (TIF) deal. Under such deals, the city issues bonds to pay for project infrastructure and then pays them off using new revenue generated by property taxes on the development. It’s expected to take 40 years to pay off those bonds.
“The TIF is in place. It’s ready to go. If that’s not a demonstration that we are prepared, I don’t know what is,” Cole said.
5. Amazon also states it has a “core preference” to be within 30 miles of a population center and within 45 minutes of an international airport.
Baltimore surely qualifies as a population center, and Baltimore Washington International Thurgood Marshall Airport, which is nearby, has frequent flights to Europe, Canada and Mexico.
“You can be in downtown Baltimore and be at BWI airport in 10 minutes,” Cole says. “Do I think having an employer like Amazon will lead to more international fights? Absolutely.”
Airports in and near Washington, D.C., offer additional international flight options.
6. Amazon also wants to be located within two miles of a major highway and have access to mass transit options at the new headquarters.
The Port Covington site is located only a few hundred feet from Interstate 95. Plank’s firm recently upgraded a fleet of water taxis to transport people around the harbor.
At Port Covington, state and city officials are planning to build a $165 million light rail extension to the site. The public financing deal with the city also funds an “internal rail circulator,” and Port Covington's bike path is being built using a material that will absorb sunlight and “emit a glow at night.”
State officials also are applying for a $76 million federal grant for an I-95 interchange project at the site.
7. The company also states it would consider building a new campus in an “urban or downtown” area with a “similar layout” to Amazon’s Seattle campus. It would prefer a site that is already prepped for development.
Unlike some other cities, available space isn’t necessarily an issue in Baltimore — with some 40,000 vacant properties, the city can accommodate a large corporate campus. The city has already green-lighted a massive infrastructure investment at Port Covington.
“We firmly believe Port Covington presents the best overall opportunity,” Cole said. “That site is truly ready to go. There’s not a lot of steps it has to go through to start moving dirt there.”
In addition to a mix of housing and businesses, Sagamore Development plans to create a ring of waterfront parks at Port Covington. A whiskey distillery for Plank’s Sagamore Spirit Rye has already opened, and other plans include business incubator space, a shopping district, a hotel, apartments and a music venue.
8. Finally, the company says it is considering the “culture” and “quality of life” of the areas it is considering. Company officials say they are looking for a place that can support a “diverse population” with “excellent institutions of higher education” and local government officials who are “eager and willing” to work with the firm. “We want to invest in a community where our employees will enjoy living, recreational opportunities, educational opportunities, and an overall high quality of life,” the request for proposals states.
Baltimore is often known for crime and blight, but there’s much more to the city than that. The travel website Atlas Obscura has called Baltimore America's most eccentric city, citing Edgar Allan Poe's grave site and being the place where the Ouija board was named, among other factors.
Zagat has ranked Baltimore as high as No. 2 on its list of best food cities. And Entrepreneur magazine has named Baltimore second on a list of "Hot Startup Cities That Aren't San Francisco or New York," emphasizing its concentration of companies working in the education field.
The area offers cheaper housing than nearby Washington. And state officials have approved a $1.1 billion investment to renovate and upgrade the city’s public school buildings.
“The city has so many really incredible neighborhoods,” Cole said. “We have an arts and culture community that has such a vibrancy. We have increasing numbers in our sports and social leagues. Our diversity is one of our strong suits. You’re not going to continue to attract the millennial population we have if you don’t have those type of amenities.”


THE GUARDIAN A review in the public domain by The Phantom<EMAIL_ADDRESS>In her review of April 27, Janet Maslin writes in the New York Times:
When seeking professional childcare help, never hire anyone who thinks she is a tree. This is the lesson of THE GUARDIAN, and it's hard to find fault with, although that cannot be said for the film otherwise.
Well. The Phantom must say that he has always been an admirer of the film reviews in the New York Times; unlike the simple-minded thumbs who "review" films on television, the Times' reviewers are critics in the best sense of the word, and their reviews are always well considered and informative.
So one can understand how flattered the Phantom felt when he read the lead paragraph of Ms. Maslin's review. Yet it behooves him to ask, "Now, who's reading whose reviews here?" Alas, if only the Phantom got Ms. Maslin's free preview tickets, let alone her salary.... But for him it is enough to know that he has found another phan on the staff of his favorite daily.
Though clever, Maslin's lead paragraph is also very misleading. To be fair, the Phantom never expects accurate reviews of horror films from the Times, but Maslin seems to have missed the point of THE GUARDIAN. Like most horror films, THE GUARDIAN doesn't exist to teach us a lesson (unless one thinks that "Don't go in the basement" is a lesson). Instead THE GUARDIAN exists only to entertain and to scare us, and in that capacity it does a very good job indeed.
So let's start with a brief summary. THE GUARDIAN is yet another in a long line of mainstream "adult" horror films. Like THE EXORCIST (also by the director, William Friedkin), THE OMEN, and more recently, CHILD'S PLAY, THE GUARDIAN is a horror film designed to appeal to those people who would not otherwise go to a horror film. And while it's not nearly as successful THE EXORCIST or THE OMEN, it works about as well as CHILD'S PLAY (though whether it does as well at the box office remains to be seen) -- in other words, it's not a classic, but it's pretty good in it's own way.
The story is fairly simple, if a tad unusual. Imagine, if you will, that the Druids were right -- that trees really do have spirits and can exert influence over people and the world around them. Now imagine that one of these Druids is also a nanny. Still with me? OK, now to complete our mental picture, imagine that one of the trees -- an *evil* tree -- demands human sacrifices, particularly *infant* sacrifices.
Certainly by its very nature, THE GUARDIAN gives THE FIRST POWER a run for its money as this year's silliest horror film. But although it sounds fairly outlandish, once you buy the premise, THE GUARDIAN is a lot of fun. Unlike THE FIRST POWER, THE GUARDIAN starts out silly and stays that way -- in general, the Phantom prefers films that work like this, rather than ones like THE FIRST POWER, that start out sensible and promising and end up in a big muddle.
THE GUARDIAN begins with a bit of explanation -- it seems that the producers don't believe that their audience would understand what Druids are without three or four screens worth of explanation. Unfortunately, the preamble reminded the Phantom of nothing less than a cross between the Stonehenge sequence from THIS IS SPINAL TAP and the disclaimer at the beginning of SCARFACE. Briefly, the producers want to be sure that everyone understands that the Druids were an ancient religious sect that worshipped trees, and that while most Druids (and, presumably, most trees) are fine, upstanding members of their communities and/or forests, some are just bad seeds -- real rotten apples -- trees and disciples that have gone over to the Dark Side. The Phantom apologizes in advance if he didn't get this part exactly right, but he thinks that this was the general idea. Why these trees are evil is never explained -- perhaps they're tired of being turned into press releases and fax paper, or maybe they've been cheated out of their residuals for THE WIZARD OF OZ -- but honestly, neither the Phantom nor the twelve-year-olds he was surrounded by required further explanation. Evil trees? No problem! Once you buy into pizza-eating turtles and stunt-nuns, your tolerance for cinematic silliness goes way up.
Now, the Phantom would normally take some time here to further describe the plot, but in this case it's hardly necessary, and in fact it might possibly spoil the film for some. THE GUARDIAN is not a film that is loaded with surprises, so the Phantom would feel worse than usual if he gave some of them away.
Disappointed? Oh, all right then, let's give some of them away anyway. Here goes. Couple hires nanny, nanny cares for infant, nanny communes with evil tree, nanny takes infant, couple chases nanny -- you get the idea. Surprised?
Well, surprisingly, there *are* some surprises. For one, there are several OMEN-like killings done with 90s-style special effects and gore. For another, the film doesn't plod along in TV movie-of- the-week fashion -- the editing, camera work and cinematography are all top-notch. Friedkin hasn't lost his touch since his days of directing Linda Blair amidst buckets of pea soup: THE GUARDIAN looks and feels a lot like the EXORCIST did, and the Phantom enjoyed that expert look and feel more than he did almost anything else about the film. The Phantom was particularly disappointed with Maslin's review in this respect: she complains that Friedkin concentrates too much on "things decorative" and sets up shots in forests and meadows so that "viewers are apt to notice wildflowers in the foreground." Oh dear. Isn't that the point? This film *is*, after all, about evil Druids, so one would think that placing the characters in the context of the wildlife surrounding them would be important. Much better this than the relatively uninspired camera work of THE FIRST POWER, to pick on our favorite silly horror film yet again.
For film buffs, Friedkin has also scattered several "inside" references throughout THE GUARDIAN -- the Phantom caught at least three -- and as the film progresses it also becomes obvious that Friedkin is nearly as big a phan of EVIL DEAD as is the Phantom himself (the "basement" scene in particular is strikingly reminiscent of one of the scenes in EVIL DEAD). Phans who want the inside track should pay particularly close attention to the radio programs that are "overheard" on occasion.
And those who are not into gore for gore's sake may want to consider playing peek-a-boo during some scenes; the Phantom himself was surprised at how far some of the violence went, especially given the supposed "mainstream" nature of this film. Unlike, say, HELLBOUND, which was never intended to appeal to non-horror phans, THE GUARDIAN appears on the surface to have been designed to appeal to people who don't normally appreciate a good dismemberment. To be fair, it never gets nearly as bad as HELLBOUND -- in fact, the gore-level is about on a par with one of the OMEN sequels (though nary a priest is wrapped in plastic and set on fire) -- but there are a few scenes that would do Romero proud.
The acting is adequate (with the exception of Jenny Seagrove, whose performance as the evil nanny is not in the least wooden*), and baby Jake is definitely cute, even though he is portrayed at times by (in Maslin's words) "a screaming pile of towels." The special effects are generally well done, and although Friedkin seems to have used the same backlot forest that was featured in LEATHERFACE last year, the meadows are scenic and the film does its best to imbue what are, after all, just a bunch of plants with evil and ill-meaning intentions.
The Phantom really recommends this one, phans; despite its astoundingly silly plot, and despite some of the negative reviews it has garnered, THE GUARDIAN is a good, solid 90 minutes of fun with enough scares to keep even the most jaded horror-film buff on his toes. It's worth catching before it makes its Blockbusters debut.
*Yes, all right, that one was a bit of a stretch. Just be glad the Phantom couldn't come up with a good pun for "druid."
: The Phantom<EMAIL_ADDRESS>: {cmcl2,uunet}!esquire!baumgart
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


"x" "1" "SHORT-TERM TEST PROGRAM SPONSORED BY THE DIVISION OF CANCER BIOLOGY,NATIONAL CANCER INSTITUTE, MS. ELLEN ZAIKA, ASSISTANT PROJECT OFFICER , p.Y00"


Basscss is built with Rework and Gulp. Rework is a preprocessor based on the CSS specification and a flexible plugin architecture. Gulp is a Node.js-based build system for front-end development. If you’re new to these, follow this guide to get started.
If you don’t have it already, install Node, which includes NPM. Then, install Gulp globally:
npm install --global gulp
Clone or download Basscss, then cd into the basscss directory.
git clone https://github.com/jxnblk/basscss.git && cd basscss
Install the dependencies for Basscss.
npm install
Duplicate /src/basscss.css
to use as a template, make adjustments, then run the following Gulp task from the command line to recompile. This will create uncompressed, minified, and gzipped versions of the file.
gulp rework
To better understand how this is set up, open up gulpfile.js
and take a peek.
To use Rework in an existing Gulp file, follow this recipe:
var gulp = require('gulp');
var rename = require('gulp-rename');
var mincss = require('gulp-minify-css');
var autoprefixer = require('gulp-autoprefixer');
var gzip = require('gulp-gzip');
var rework = require('gulp-rework');
var rnpm = require('rework-npm');
var media = require('rework-custom-media');
var vars = require('rework-vars');
var colors = require('rework-plugin-colors');
var calc = require('rework-calc');
gulp.task('rework', function() {
gulp.src('./src/*.css')
.pipe(rework( rnpm(), media(), vars(), colors(), calc ))
.pipe(autoprefixer())
.pipe(gulp.dest('./css'))
.pipe(mincss())
.pipe(rename({ extname: '.min.css' }))
.pipe(gulp.dest('./css'))
.pipe(gzip())
.pipe(gulp.dest('./css'));
});


Welcome to eVillage Home
First Name:
Middle Name:
Last Name:
User Name:
Email Id:
Date of Birth:
Phone Number


Batti Gul
Home
Contact
Idky
4thlink
What is Light?
Light is something that u need to see this web page.
Light is Light Yagami a.k.a Kira.
But does kira have anything to do with Light?


domestic dog!!!
The domestic dog (Canis lupus familiaris or Canis familiaris)[2] is a domesticated canid which has been
selectively bred over millennia for various behaviours, sensory capabilities, and physical attributes.[3]
Although initially thought to have originated as an artificial variant of an extant canid species
(variously supposed as being the dhole,[4] golden jackal,[5] or gray wolf[6]), extensive genetic
studies undertaken during the 2010s indicate that dogs diverged from an extinct wolf-like canid in
Eurasia 40,000 years ago.[7] Their long association with humans has led to dogs being uniquely
attuned to human behavior[8] and able to thrive on a starch-rich diet which would be inadequate
for other canid species.[9] Dogs are also the oldest domesticated animal. One unusual characteristic
of dogs, resulting from their selective breeding, is that they very widely vary in shape, size and
colours, which are disposed in breeds.[10]
Dogs perform many roles for people, such as hunting, herding, pulling loads, protection, assisting
police and military, companionship and, more recently, aiding handicapped individuals.
This influence on human society has given them the sobriquet, "man's best friend".
Etymology
The term "domestic dog" is generally used for both domesticated and feral varieties. The English word
dog comes from Middle English dogge, from Old English docga, a "powerful dog breed".[11] The term may
possibly derive from Proto-Germanic *dukkōn, represented in Old English finger-docce ("finger-muscle").
[12] The word also shows the familiar petname diminutive -ga also seen in frogga "frog", picga "pig",
stagga "stag", wicga "beetle, worm", among others.[13] The term dog may ultimately derive from the
earliest layer of Proto-Indo-European vocabulary.[14]
In 14th-century England, hound (from Old English: hund) was the general word for all domestic canines, and
dog referred to a subtype of hound, a group including the mastiff. It is believed this "dog" type was
so common, it eventually became the prototype of the category "hound".[15] By the 16th century, dog had
become the general word, and hound had begun to refer only to types used for hunting.[16] The word
"hound" is ultimately derived from the Proto-Indo-European word *kwon-, "dog".[17]
 The father of a litter is
called the sire, and the mother is called the dam. (Middle English bicche, from Old English bicce,
ultimately from Old Norse bikkja) The process of birth is whelping, from the Old English word hwelp.[18]
A litter refers to the multiple offspring at one birth which are called puppies or pups from the French
poupée.[19]


You are not alone. If you've been trying for a baby for a year or more, it might be time to see your doctor- if you are over 35 and been trying to conceive for over 6 months, time to seek medical advice. You doctor may suggest a fertility specialist and assisted reproductive treatment. (link to ART site) Women under 35 should seek help after one year of trying to get pregnant without success.


{% extends "withnav_template.html" %} {% from "components/page-header.html" import page_header %} {% from "govuk_frontend_jinja/components/back-link/macro.html" import govukBackLink %} {% block service_page_title %} Your organisation has already accepted the agreement {% endblock %} {% block backLink %} {{ govukBackLink({ "href": url_for('main.request_to_go_live', service_id=current_service.id) }) }} {% endblock %} {% block maincolumn_content %}
{{ current_service.organisation.name }} has already accepted the GOV.UK Notify data sharing and financial agreement.
For more information, you can download a copy of the agreement (PDF).
The agreement is confidential and should not be shared outside your organisation.


Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
| Version: | 3.1.8 |
| Depends: | R (≥ 3.2.0), methods |
| Imports: | abind, graphics, grDevices, MASS, utils, parallel, nlme, sp, mgcv, raster, stats, tools, stringr |
| Suggests: | maptools, spsurvey, rgdal, knitr, gdistance, rgeos, readxl, rmarkdown |
| Published: | 2018-11-19 |
| Author: | Murray Efford |
| Maintainer: | Murray Efford <murray.efford at otago.ac.nz> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.otago.ac.nz/density |
| NeedsCompilation: | yes |
| Citation: | secr citation info |
| Materials: | NEWS |
| In views: | Environmetrics |
| CRAN checks: | secr results |
| Reference manual: | secr.pdf |
| Vignettes: |
Data input for secr Spatially explicit capture–recapture in R |
| Package source: | secr_3.1.8.tar.gz |
| Windows binaries: | r-devel: secr_3.1.8.zip, r-release: secr_3.1.8.zip, r-oldrel: secr_3.1.8.zip |
| OS X binaries: | r-release: secr_3.1.8.tgz, r-oldrel: secr_3.1.8.tgz |
| Old sources: | secr archive |
| Reverse depends: | BBRecapture, openCR, secrdesign, secrlinear |
| Reverse imports: | camtrapR |
| Reverse suggests: | wiqid |
Please use the canonical form https://CRAN.R-project.org/package=secr to link to this page.


Hurlyburly (1998)
This is a buddy movie, pure and simple. It's different from the usual buddy flick in that it is based on a play (by David Rabe) and therefore has a more sophisticated theme and snappier dialog than, say, Lethal Weapon.
Eddie is a talent agent in Hollywood.  He talks all the time, mostly to his roommates, Mickey and Phil, both of whom have been thrown out of the house by their wives. Mickey works with Eddie in some capacity, while Phil is a low level actor typecast as the quiet muscular type. They're opposites in many ways--Mickey is together, smart, urbane, Phil is an excon and a goon. All of them are very ambivalent about women (while remaining ardently straight, of course) and all of them are extraordinarily verbal, even the inarticulate Phil, unfortunately.
 There is Darlene, who is nominally Eddie's girl friend, though Mickey has had a fling with her. Phil is married and desperately wants to get back with his wife while seeming to want to strangle her at the same time. There is a performance artist-cum-stripper who likes to hang around. And there is a jailbait street kid that seems to like casual sex very much (these fellows show bad judgement as a matter of course).
That's the whole movie. A few important things happen, but I shouldn't give them away. By the end, things have changed and there is an epiphany and even a little redemption. Mostly, Hurlyburly is about the characters.
The movie has the star power for a character study. Sean Penn plays Eddie as someone who is trying so hard to understand the meaning of everything going on around him and failing miserably because he is hung up on the words. He thinks that we create meaning by putting it all into words, by creating verbal symbols, yet he is too concrete, too literal minded, and as a result he gets hung up on semantics and definitions. (He actually has an argument with Darlene over whether she is indifferent or just doesn't care). Penn takes chances with Eddie, portraying him as a self-abused loser with barely a shred of self-respect; in one key scene Eddie is left literally holding his tool.
Kevin Spacey is perfect for the self-contained and knowing Mickey, unflappable, in control and always ready to joust with Eddy. Of course, if Mickey is really all that together, you wonder why his wife threw him out to live with Eddy. He's built a wall of sarcasm around himself. Ordinarily, you'd think that this was all defense, that there was a vulnerable and scared Mickey behind the Flip Mickey. I don't believe so--I think there's nothing there, or else he's Flip Mickey alll the way down to his core.
 He's trying to figure out what's going on around him and he puts it all into words, but nothing comes out that makes any sense. Watching Phil is like watching Zippy the Pinhead. In spite of the funny sounds that come out of his mouth, he's a character of extreme menace who might go off at any minute. Whenever he's in a scene, you're afraid he might kill somebody.
The women in the film are played by Robin Wright Penn, Anna Paquin and Meg Ryan, each of whom does a fine job in three very different roles. I don't want to slight their work here, but the movie is clearly about the boys; these fine actresses have enough to do but their characters are clearly satellites. The verbal and inarticulate Eddy is really in love with the verbal and inarticulate Phil. That's the emotional heart of Hurlyburly.
In the end, Phil tries to make himself a better person and fails. Eddie learns a little bit more about what life is really about. Mickey is still Mickey.
Hurlyburly is a good character movie and it's really a lot of fun to watch all these stars do their work. Still, the movie is relatively plotless and the movement at the end is all small and relative. Hurlyburly betrays its theatrical roots. It's very intellectual, very talky, and not much happens. The resolution at the end is small and you have to think about it. There's nothing wrong with that, as far as I'm concerned, but I've seen a lot of this sort of thing over the last few years. In a way, Hurlyburly seems like a remake of Glengary Glen Ross, and I'm not sure how many of those we need. I'd recommend Hurlyburly highly to anyone who likes this sort of thing, and not at all to anybody who doesn't.
Kevin W. Welch<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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I've always been drawn to the overlap between design and development. My skills are broad: from front end to back end development. I enjoy each aspect, and love building sites & mobile apps from start to finish.


Are you visiting Aruba soon? These tips might help you have an unforgettable vacation!
It's not only the sandy beaches and clear ocean that brings travelers to Aruba. Some come to test their luck in the casinos. When you visit Aruba you will find basically all the major resorts have their own casinos in addition to many other standalone spots.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
"We loved Aruba! It was sunny & the water was AMAZING. 10/10 would recommend"
We loved Aruba! It was sunny & the water was AMAZING. 10/10 would recommend
We loved Aruba! It was sunny & the water was AMAZING. 10/10 would recommend


Name: Tyler Elton
Course: MTH220 - Fall 2017
Professor: Dr. Alfaro
Homework Assignment #6 & #7
Code and full dataset can be found at https://github.com/telton/linear-algebra-assignment.
The response variable y is the IMDB Rating of the movies in the dataset. The _predictor_ variable _x_ is the body count is the body count that the movie produces. The dataset was compiled using data from the website Movie Body Counts. To be counted a kill and/or dead body has to be visible on the screen, implied deaths like those died in the explosion of the Death Star are not counted. For more details on how counts should be conducted see their guidelines at http://moviebodycounts.proboards.com/thread/6.
Note: This is just a snippet of the dataset! The full dataset can be found at https://github.com/telton/linear-algebra-assignment/blob/master/film-death-counts.csv.
The least square solution for this dataset has been calculated to be X = [8.47213753e-04, 6.77486598e+00]
.
The mean square error for this dataset has been calculated to be SS = 1.1152532564
.


  To see what makes a good question, check out this site.
NOTE: While this may seem like a general topic that can be applied to anything, this post is more-so towards the programming community. In programming, there are so many factors that could be relevant and therefore need to be supplied, whereas typical everyday kind of questions don't generally need a lot of background information.
Analyzing Questions
Way back when I was trying to teach myself Ruby and was going through Test First Ruby's problem set, I asked this question on Stackoverflow:
Question: TestFirst Learn Ruby Simon Says
Post: I'm doing TestFirst.org's Learn Ruby tutorial and am currently on exercise number 3 Simon Says. I'm not sure if this is a problem or if it's interfering with my tests (and giving me the wrong results) using rspec, but the terminal prints out some error messages before it shows that all my tests have passed. [sample code]
It gives a warning for the simon_says_spec.rb but this is the spec provided by the TestFirst Learn Ruby tutorial. Why is there a problem with this? Also, is it a big issue that it says 'All examples were filtered out; ignoring {:focus=>true|}'?
- The first problem with this question is the title question. That is not a question nor is it descriptive enough of the issue contained within it. Instead I could have written something like, "Why does rspec message say it filtered out examples yet passes all examples at the end of Test First Ruby's Simon Says problem?"
- The second, there are too many "question" like sentences within the post itself. The part "I'm not sure if this is a problem or if it's interfering with my tests (and giving me the wrong results) using rspec.." really isn't necessary and takes away from the overall questions. Instead, I should have left this bit out.
- While I did receive the answers to the two questions I asked at the end, I did not get a resolution of the problem. At the time I had no clue what I was really doing and the answer that I was using a newer version of RSpec didn't tell me exactly how to get/install/use the older version so that I would not get this issue. And while the same person did answer my second question and provided a link for the explanation, as a complete programming newbie I had no clue what all that meant and wasn't given a completely-novice-friendly explanation. Therefore, this question is not a good question in that it fails to provide enough information to potential repliers that would indicate I needed a stupidly-simple and jargon free answer. Next time, I should indicate my level of familiarity with this or request specifically a novice-centric response and read of the question I actually ask to make sure I include a question that would get me an answer that resolves the issue.


Q. How accurate is this site?
A. This site does not claim to be accurate or precise in any way. It does not, for example, take into account any personal healh attributes into consideration. The information displayed is available from Life Tables provided by The Human Mortality Database and also performs extremely rough estimates based on those values.
Q. How do you come up with those estimates?
A. Given the values from the Life Table there's an assumption that there's roughly 365.25 days in a year (accounting for leap years) and it simply counts the days from the years given by the Life Table.
Q. On my birthday my numbers suddenly changed! What happened?
A. Statistically, probabilities of death fluctuate based on age according to the Life Table. For example, newborns are generally at a significantly higher risk than 1 year olds. Based on your new current age you get a different probability and therefore different statistics and estimates.
Q I want to look up ages that are even older than what I can pick here!
A. Most Life Tables do not have significant information past 110 years of age and therefore are generally grouped up as 110+. 110 years old is as old as you can pick.


{foreach $messages as $message}
系统回复：{$message->message_content}
{/foreach} {foreach $levels as $level}
会员消息：{$level->level_content}
{/foreach}
{include file="common/foot"}


We will now explore the data to get a better understanding of the relationship between the observations as well as the relationship between each observation and predictor.
import pandas as pd
import numpy as np
import matplotlib
import seaborn as sb
import matplotlib.pyplot as plt
import matplotlib.cm as cmx
import matplotlib.colors as colors
import math
%matplotlib inline
data = pd.read_csv('../datasets/listings_clean.csv')
We will use the scatter_matrix function in Pandas to visualize a matrix of each predictor as a function of another which is useful to check for any collinearity among the predictors. The cells running through the diagonal of the matrix contain a histogram with its values on the X axis.
# check for collinearity and visualize relationship between each predictor and price
matrix_cols = ['accommodates', 'bedrooms', 'beds', 'minimum_nights', 'availability_30', 'availability_60', 'availability_90', 'availability_365', 'number_of_reviews', 'host_listing_count', 'price', 'price_log']
axs = pd.scatter_matrix(data[matrix_cols], figsize=(20, 20), c='red')
Based on the matrix output, there does not seem to be any obvious problems amongst the predictors. There does seem to be a relationship between the following predictors: accommodates
, bedrooms
, beds
and guests_included
. This makes intuitive sense as the more bedrooms a listing has the more individuals it can accommodate. However, we do see that the results are loosely related and not resemblance of a straight line which may be a result of varying accommodations, sleeping arrangements and layout of the listing itself. Thus, there is no strong evidence of collinearity among the predictors. We do note that the distributions for many of the predictors are strongly skewed right (including the standardization as well). Again, this makes intuitive sense as a majority of listings on Airbnb are single bed listings that typically seek to accommodate 1 or few persons.
We can see from the above graphic that the densest zipcodes tend to be in Manhattan / Brooklyn growing less and less dense as you move outside of Manhattan. In general, it seems that the majority of the data is concentrated in the Manhattan area, with less data in areas such as the Queens or Flushing. We can also cluster the zipcodes by neighborhood to see if this adds any statistical power to our models later on.


|
Shopify SDK for Unity
|
QueryRootQuery is the root query builder. All Storefront API queries are built off of QueryRootQuery. More...
Public Member Functions | |
| QueryRootQuery () | |
| QueryRootQuery constructor accepts no parameters but it will create a root query builder. More... | |
| QueryRootQuery | articles (ArticleConnectionDelegate buildQuery, long? first=null, string after=null, long? last=null, string before=null, bool? reverse=null, ArticleSortKeys? sortKey=null, string queryValue=null, string alias=null) |
| List of the shop's articles. More... | |
| QueryRootQuery | blogByHandle (BlogDelegate buildQuery, string handle, string alias=null) |
| Find a blog by its handle. More... | |
| QueryRootQuery | blogs (BlogConnectionDelegate buildQuery, long? first=null, string after=null, long? last=null, string before=null, bool? reverse=null, BlogSortKeys? sortKey=null, string queryValue=null, string alias=null) |
| List of the shop's blogs. More... | |
| QueryRootQuery | collectionByHandle (CollectionDelegate buildQuery, string handle, string alias=null) |
| Find a collection by its handle. More... | |
| QueryRootQuery | collections (CollectionConnectionDelegate buildQuery, long? first=null, string after=null, long? last=null, string before=null, bool? reverse=null, CollectionSortKeys? sortKey=null, string queryValue=null, string alias=null) |
| List of the shop’s collections. More... | |
| QueryRootQuery | customer (CustomerDelegate buildQuery, string customerAccessToken, string alias=null) |
| Find a customer by its access token. More... | |
| QueryRootQuery | node (NodeDelegate buildQuery, string id, string alias=null) |
| Returns a specific node by ID. More... | |
| QueryRootQuery | nodes (NodeDelegate buildQuery, List< string > ids, string alias=null) |
| Returns the list of nodes with the given IDs. More... | |
| QueryRootQuery | pageByHandle (PageDelegate buildQuery, string handle, string alias=null) |
| Find a page by its handle. More... | |
| QueryRootQuery | pages (PageConnectionDelegate buildQuery, long? first=null, string after=null, long? last=null, string before=null, bool? reverse=null, PageSortKeys? sortKey=null, string queryValue=null, string alias=null) |
| List of the shop's pages. More... | |
| QueryRootQuery | productByHandle (ProductDelegate buildQuery, string handle, string alias=null) |
| Find a product by its handle. More... | |
| QueryRootQuery | productRecommendations (ProductDelegate buildQuery, string productId, string alias=null) |
Find recommended products related to a given product_id . To learn more about how recommendations are generated, see Showing product recommendations on product pages. More... | |
| QueryRootQuery | productTags (StringConnectionDelegate buildQuery, long first, string alias=null) |
| Tags added to products. Additional access scope required: unauthenticated_read_product_tags. More... | |
| QueryRootQuery | productTypes (StringConnectionDelegate buildQuery, long first, string alias=null) |
| List of product types for the shop's products that are published to your app. More... | |
| QueryRootQuery | products (ProductConnectionDelegate buildQuery, long? first=null, string after=null, long? last=null, string before=null, bool? reverse=null, ProductSortKeys? sortKey=null, string queryValue=null, string alias=null) |
| List of the shop’s products. More... | |
| QueryRootQuery | publicApiVersions (ApiVersionDelegate buildQuery) |
| The list of public Storefront API versions, including supported, release candidate and unstable versions. More... | |
| QueryRootQuery | shop (ShopDelegate buildQuery) |
| The shop associated with the storefront access token. More... | |
| override string | ToString () |
| Will return a GraphQL query. More... | |
QueryRootQuery is the root query builder. All Storefront API queries are built off of QueryRootQuery.
|
inline |
QueryRootQuery constructor accepts no parameters but it will create a root query builder.
|
inline |
List of the shop's articles.
| first | Returns up to the first n elements from the list. |
| after | Returns the elements that come after the specified cursor. |
| last | Returns up to the last n elements from the list. |
| before | Returns the elements that come before the specified cursor. |
| reverse | Reverse the order of the underlying list. |
| sortKey | Sort the underlying list by the given key. |
| query | Supported filter parameters:
|
See the detailed search syntax for more information about using filters.
|
inline |
Find a blog by its handle.
| handle | The handle of the blog. |
|
inline |
List of the shop's blogs.
| first | Returns up to the first n elements from the list. |
| after | Returns the elements that come after the specified cursor. |
| last | Returns up to the last n elements from the list. |
| before | Returns the elements that come before the specified cursor. |
| reverse | Reverse the order of the underlying list. |
| sortKey | Sort the underlying list by the given key. |
| query | Supported filter parameters:
|
See the detailed search syntax for more information about using filters.
|
inline |
Find a collection by its handle.
| handle | The handle of the collection. |
|
inline |
List of the shop’s collections.
| first | Returns up to the first n elements from the list. |
| after | Returns the elements that come after the specified cursor. |
| last | Returns up to the last n elements from the list. |
| before | Returns the elements that come before the specified cursor. |
| reverse | Reverse the order of the underlying list. |
| sortKey | Sort the underlying list by the given key. |
| query | Supported filter parameters:
|
See the detailed search syntax for more information about using filters.
|
inline |
Find a customer by its access token.
| customerAccessToken | The customer access token. |
|
inline |
Returns a specific node by ID.
| id | The ID of the Node to return. |
|
inline |
Returns the list of nodes with the given IDs.
| ids | The IDs of the Nodes to return. |
|
inline |
Find a page by its handle.
| handle | The handle of the page. |
|
inline |
List of the shop's pages.
| first | Returns up to the first n elements from the list. |
| after | Returns the elements that come after the specified cursor. |
| last | Returns up to the last n elements from the list. |
| before | Returns the elements that come before the specified cursor. |
| reverse | Reverse the order of the underlying list. |
| sortKey | Sort the underlying list by the given key. |
| query | Supported filter parameters:
|
See the detailed search syntax for more information about using filters.
|
inline |
Find a product by its handle.
| handle | The handle of the product. |
|
inline |
Find recommended products related to a given product_id
. To learn more about how recommendations are generated, see Showing product recommendations on product pages.
| productId | The id of the product. |
|
inline |
List of the shop’s products.
| first | Returns up to the first n elements from the list. |
| after | Returns the elements that come after the specified cursor. |
| last | Returns up to the last n elements from the list. |
| before | Returns the elements that come before the specified cursor. |
| reverse | Reverse the order of the underlying list. |
| sortKey | Sort the underlying list by the given key. |
| query | Supported filter parameters:
|
See the detailed search syntax for more information about using filters.
|
inline |
Tags added to products. Additional access scope required: unauthenticated_read_product_tags.
| first | Returns up to the first n elements from the list. |
|
inline |
List of product types for the shop's products that are published to your app.
| first | Returns up to the first n elements from the list. |
|
inline |
The list of public Storefront API versions, including supported, release candidate and unstable versions.
|
inline |
The shop associated with the storefront access token.
|
inline |
Will return a GraphQL query.


Wall Street opens slightly lower dragged by energy shares
by Eren Sengezer- Falling crude oil prices weigh on the S&P 500 Energy Index.
- China will reportedly wait for US election before signing a trade deal.
- Defensive sectors posts modest gains in early trade.
Major equity indexes in the United States started the week on the back foot as investors continue to asses the latest developments surrounding the United States (US)-China trade dispute. As of writing, the Dow Jones Industrial Average was down 0.04% on the day while the S&P 500 and the Nasdaq Composite were erasing 0.22% and 0.38%, respectively.
Earlier in the day, CNBC's Beijing Bureau Chief, Eunice Yoon, reported China was pessimistic about reaching a trade deal with the US after President refrained from confirming the tariff rollback. Yoon further said that China might opt out to wait for the impeachment and the presidential election in the US.
With the dismal mood weighing on crude oil prices, the Energy Index turned south and was last down 1.4% on a daily basis. Reflecting the sour sentiment, the 10-year US T-bond yield is losing 1.7% and the rate-sensitive Financials Index is erasing 0.3%.
On the other hand, so-called defensive sectors, Real Estate and Utilities, are both up more than 0.7% in the early trade.


We are currently in maintnence mode.
Durning this time we process payouts, referrals and clear the database to start over again for the next day.
Try again in five minutes


Project Portfolio & Creations
Every company we work with has a story to tell, whether they’re based in Corpus Christi, Texas, in the U.S., or abroad. We’ve worked in a variety of industries on countless projects like website design, print design, social media and content marketing, app development and reputation management. We’ve helped each client identify and relate their story to a customer base that increases their bottom line and grows their business. What we do is about more than simply building a website. Explore below to find out more.
{% for work in site.portfolio %}
{% include portfolio-grid.html %}
{% endfor %}


Welcome to PARS Data Analysis’s documentation!¶
edf Module¶
-
class
edf.
EDF
(filename=None)¶ EDF class docstring!
Loads the EDF file specified by filename into the instance. If filename is not given, creates an empty instance and .load must be called at some point in the future.
Parameters: filename – Properly escaped filename of the EDF file to load. Default is None -
cleanHeader
(filename)¶ Cleans the EDF file’s header of non-standard ASCII characters.
The EDF files generated by a 1985 study had characters in the header that are non-standard ASCII. This method will scan through the header and replace all offending characters with a space. Note that this EDITS the file, so make sure to preserve a copy of the original somewhere!!
-
extractChannel
(channelName)¶ Extract a single channel of data from the edf file.
Extracts all data in the channelName channel from the edf file and the associated sample rate to a dictionary.
Parameters: channelName – string with the name of the channel to load. Name is case insensitive. Returns: A dictionary with two keys. ‘signal’ Numpy N-dimensional array with ndim=1 and typically long lengths, and ‘sample_rate’ frequency (Hz) of the recorded signal since each signal can be recorded at different rates.
-
getHeaderSize
(filename)¶ Gets the size of the EDF file’s header
There’s really no reason to use this other than cleanHeader()
-
getOverview
()¶ Prints a silly overview of the file.
Not useful to run, but ok to help understand what is _in_ the loaded file
-
load
(filename)¶ Load an EDF file into the instance.
Loads the specified EDF file into the instance. This file is stored internally as ‘f’ but should generally by accessed via the available member functions.
Parameters: filename – Properly escaped filename of the EDF file to load.
-


|
accumulate
Syntax:
#include <numeric> TYPE accumulate( iterator start, iterator end, TYPE val ); TYPE accumulate( iterator start, iterator end, TYPE val, BinaryFunction f ); The accummulate() function computes the sum of val and all of the elements in the range [start,end). If the binary function f if specified, it is used instead of the + operator to perform the summation. accumulate() runs in linear time. |


CARAVAGGIO A film review by Edwin Jahiel Copyright 1995 Edwin Jahiel
(UK 1986) *** 1/2 Written and directed by Derek Jarman.
Producer, Sarah Radclyffe. Executive producer, Colin McCabe. Camera, Gabriel Beristain. Editing, George Akers. Production design, Christopher Hobbs. Music, Simon Fisher Turner. Cast: Nigel Terry, Sean Bean, Garry Cooper, Spencer Leigh, Tilde Swinton, Michael Gough, Nigel Davenport, Robbie Coltrane, Jonathan Hyde, Dexter Fletcher, Noam Almaz, Jack Birkett. A British Film Institute, Channel 4, Nicholas Ward-Jackson production. Released by the B.F.I. No rating.
Painter-cineaste Derek Jarman, one of the "enfants terribles" of the contemporary British scene, has come up with an avant-garde "biography" of the great Italian painter Caravaggio (1573-1610) which is imaginary yet factual, artful yet campy, arty yet artsy, original but self-indulgent, and fascinating for specialized audiences.
Kudos to the New Art Theatre for living up to its name with this most chance-taking item. Not that CARAVAGGIO is alienatingly esoteric: in London it has drawn large audiences; at the Berlin Film Festival it won the Silver Bear, the second highest prize. But it is neither your nice Hollywood biopic of an artist nor a feature-length documentary, so that, in its bewildering (to some) "otherness," the outrageous CARAVAGGIO is bound to polarize audiences.
At the very least I'd say that this is a must for art-lovers and students, for people interested in off-beat film and theatre and visuals. Shot on a limited budget in a warehouse by the Thames, CARAVAGGIO roams around at will, flashing back from the dying painter to his youth, and re-zig-zagging forward to the painter's death.
It is done in broken bits, against all traditional notions of continuity. As it goes along, it invents, at times gratuitously, at times on the fragile basis of history (or legend)--and it is always perversely, often delightfully, anachronistic. Stylized places and years move in and out, merge, fuse, separate. There are" nows"--the 20th century, vague, almost atemporal; 16th century "thens"; twilight, "no time" zones; periods when the incursions of modernity in the past vary in intensity: a corrupt Roman tinkering with a musical calculator as he talks to a Cardinal, a Caravaggio patron; a typewriter, a motorcycle, modern dress. The anachronisms are not visually intrusive. They are reinforced by sounds of accordions, jazz bands, jets, radio or TV, which, however, are not shown.
The story may be confusing, but the art visuals are not, and they're quite extraordinary. Caravaggio used models for paintings and Jarman goes to the paintings to reproduce the models, as living still lifes, in minute reconstructions.
The painter's models were people of the lower classes. The revolutionary, naturalistic, forceful, controversial Caravaggio--an out and out tradition-breaking avant-gardist--used whores for Madonnas (as in "The Death of the Virgin," scandal-making, because of its different emphasis of figures), cutthroats for saints, novel angles and perspectives: in "The Conversion of St. Paul" a huge horse dominates.
Jarman repeats Caravaggio's magnificent use of sometimes brutal light in what is the best demonstration of chiaroscuro, a Caravaggio innovation and, to this day, a lesson about the immense possibilities of one-source lighting.
Says Jarman: "Caravaggio invented dramatic lighting ... similar to the kind of light used in the cinema. In a way he invented cinematic light.... Every Italian cameraman is grounded in Caravaggio...."
What was shock for Caravaggio's contemporaries is a different shock, that of recognition, for us, as familiar paintings follow one another, "coming to you live" as well as on on canvas. It is unique, superbly lit and photographed, and inventive with props which can be costumes, carefully arranged fruit or painstakingly folded blankets and rags.
As Caravaggio paints, the canvases-in-progress are so convincingly done that, so far as I know, they're the very best I have ever seen in a film. (I have no documentation on the movie and I cannot identify the person who did those paintings).
Jarman's whimsy goes beyond Caravaggio and into paintings by those of a like artistic bent or those that Caravaggio influenced directly or indirectly. Jarman's actors and objects are in groupings, poses, situations which do not copy other works of art, but are inspired by them, mostly by the use of light: references, serious variants, tongue-in-cheek homages.
Among them Le Nain, La Tour, Zurbaran and Velasquez... Sometimes the trick jumps at you: an amusingly modified David, "The Death of Danton" in his "sabot" (portable bathtub). Sometimes the compositions are throwaway, lightning-fast. Between blinks you just might recognize some of them, a Donatello sculpture for instance.
The film's Caravaggio is bisexual, with the stress on homoeroticism. His major non-art passion, Ranuccio, is his equally bisexual model, a beautiful low-life hunk that becomes the painter's blood brother after a fight in a dive, and whom Caravaggio kills at the end.
Film connoisseurs might notice that CARAVAGGIO does double duty with its unstated but clear references to the late Italian film director Pier Paolo Pasolini. He too came up from the slums.  CARAVAGGIO is even built more or less along Pasoliniesque lines of disdain and provocation. It also shows the influence of Jean-Luc Godard, especially the 1982 film PASSION.
This is a wild film where the actors, pronouncedly British, mostly play Cockneys who play Italians. Where a voice-off narration ranges from poetic simplicity ("The stars are the diamonds of the poor") to platitudes, disquisitions (e.g., on Giordano Bruno) and purple prose. Where the painting of "Profane Love" is accompanied by lyrical flamenco singing. Where gold coins are stored in mouths, transmitted by kisses and placed, Mafia-style, on the eyes of Caravaggio's black-suited corpse, lying in state like a Sicilian Don.
You cannot judge CARAVAGGIO by habitual standards. It has wretched excesses, "longueurs," claustrophobia, calculated distancing. But it is also an original experiment, a one-of-a-kind tribute to a ground-breaking master, and a feast of color, light and shadows.
At the New Art Theatre. Written March 7 1988
-- Edwin Jahiel
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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Moving Boot Partition (EFI/EPS partition)
Category: sysadmin
If you’ve been using Linux for a few years, you’ll probably remember that 100MB for a /boot partition was no problem. However, that has changed. Whilst you don’t need a datacentre for a /boot partitions, you might want to install other kernels to help you tweak your system and yet not delete kernels that you are using.
This article makes a few assumptions - you will be using systemd-boot to boot and you are familiar with resizing partitions, mounting them and moving files around.
You will need to use gparted to resize a partition to free some space up. This is to create a new EFI partition. This is where the kernels have to live (if you are using systemd-boot) along with the efi files. Using gparted, you can make a partition somewhat smaller, especially if that partition isn’t completely full. With the free space you have, use gdisk to create a new EFI partition.
gdisk /dev/sdb
With gdisk, give that partition a file type of ef00
.
Your new partition will have a new letter - to save a reboot you can issue partprobe to pick up the new partition - in this case /dev/sdb5
.
Then once you’ve created the new partition, it will need a file system.
sudo mkfs.vfat -F32 /dev/sdb5
Mount that partition somewhere:
sudo mount /dev/sdb5 /media/mountpoint
Then, copy over all the files you have in your current boot partition.
sudo cp -R /boot/* /media/mountpoint/.
Then, run the bootctl command to install it. In my case, I will still using gummiboot
, so I moved that directory out and then issued in the install command:
bootctl --path=/media/mountpoint install
Then, you can change the filetype of your old EFI partition:
gdisk /dev/sdb1
Change the filetype to 8300
- this means it won’t be selected for boot.
Ensure that the new boot partition is in your /etc/fstab
.
/dev/sdb5 /boot defaults 0 0
Time for reboot - have a live CD/DVD handy just in case.
Once the system reboots, you can intall more kernels and have fun messing around withem.
In my case, I had to copy a file in the loader directory in /boot
partition to create a new conf file for my linux-lts
kernel.
** Further reading
If you want to get this project underway, you will need more information than just this post - I can highly recommend the the ArchLinux Wiki.


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4-6
Buttery pastry, rich salmon and peppery watercress make this creamy quiche by Nigel Slater a real treat to come home to.
For this recipe you will also need a round, loose-bottomed 24cm/10in tart case at least 3.5cm/1½in deep, plus baking beans for baking blind.
For the pastry case, put the flour and butter into the bowl of a food processor. Add a pinch of salt and blitz until the mixture resembles fine breadcrumbs. If you prefer, rub the butter into the flour in a bowl with your fingertips.
Add the egg yolk and enough water to bring the dough to a firm ball. The less water you add the better, as too much will cause your pastry case to shrink in the oven.
Pat the pastry into a flat round on a floured surface then roll out to a rough circle large enough to line the tart tin. Lightly butter the tin, dust it with a small amount of flour, shake out any surplus then lower in the circle of pastry. Push the pastry right into the corner where the rim joins the base without stretching it. Make certain there are no holes or tears. Trim the overhanging pastry and place in the fridge to chill for 20 minutes.
Set the oven at 200C/400F/Gas 6. Put a baking sheet in the oven to warm. Line the pastry case with kitchen foil and baking beans and slide onto the hot baking sheet. Bake for 15 minutes, then remove from the oven and carefully lift the beans and foil out.
Return the pastry case to the oven for five minutes or so, until the surface is dry to the touch. Remove from the oven and set aside. Turn the oven temperature down to 180C/350F/Gas 4.
For the filling, place the salmon in a baking dish, brush with oil or butter, season lightly with salt and pepper and bake for 15 minutes, or until the flakes part easily. Remove from the oven and leave to cool a little, then break into large pieces. Place the pieces of fish in the tart case.
Wash the watercress leaves and remove and discard the thickest of the stems. Put the still-wet watercress into a saucepan, cover tightly with a lid and place over a high heat. Cook for a couple of minutes, or until the leaves wilt a little. They should keep their colour. Turn the watercress over once with tongs, let it steam a further few seconds, then remove from the heat, cool under cold running water and squeeze dry.
Tuck the watercress into the tart case in between the salmon pieces. Gently whisk the eggs and cream, pour into the case and bake for 25 minutes, or until set. Serve warm.


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Bootstrap Icons are included with the SVG sprite here, but there are other usage options, too. They're styleable with text utilities and more.
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{% extends "base.html" %} {% load static %} {% block content %}
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| 004:078 Khan | : |
"Wheresoever you may be, death will overtake you even if you are in fortresses built up strong and high!" And if some good reaches them, they say, "This is from Allah," but if some evil befalls them, they say, "This is from you (O Muhammad SAW)." Say: "All things are from Allah," so what is wrong with these people that they fail to understand any word? |
| 004:078 Maulana | : |
Wherever you are, death will overtake you, though you are in towers, raised high. And if good befalls them, they say: This is from Allah; and if a misfortune befalls them, they say: This is from thee. Say: All is from Allah. But what is the matter with these people that they make no effort to understand anything? |
| 004:078 Pickthal | : |
Wheresoever ye may be, death will overtake you, even though ye were in lofty towers. Yet if a happy thing befalleth them they say: This is from Allah; and if an evil thing befalleth them they say: This is of thy doing (O Muhammad). Say (unto them): All is from Allah.  When something good happens to them, they say, "This is from GOD," and when something bad afflicts them, they blame you. Say, "Everything comes from GOD."  Whenever people experience good fortune, they say that it is from God but whenever they experience misfortune, they say it is because of you, (Muhammad). Tell them, "Everything is from God." What is wrong with these people that they do not even try to understand? |
| 004:078 Shakir | : |
Wherever you are, death will overtake you, though you are in lofty towers, and if a benefit comes to them, they say: This is from Allah; and if a misfortune befalls them, they say: This is from you. Say: All is from Allah, but what is the matter with these people that they do not make approach to understanding what is told (them)? |
| 004:078 Sherali | : |
Wheresoever you may be, death will overtake you, even if you be in strongly built towers. And if some good befalls them, they say, `This is from ALLAH;' and if evil befalls them, they say, `This is from thee.' Say, `All is from ALLAH.' What has happened to these people that they would not try to understand anything? |
| 004:078 Yusufali | : |
"Wherever ye are, death will find you out, even if ye are in towers built up strong and high!" If some good befalls them, they say, "This is from Allah"; but if evil, they say, "This is from thee" (O Prophet). Say: "All things are from Allah." But what hath come to these people, that they fail to understand a single fact? |
Concepts/Themes Covered: الإيمان > اليوم الآخر > الموت > قضاء محتوم Faith> The Hereafter> Death> Decided Judgment
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.