|
|||||||||||
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java.lang.Object | +--com.wesleyware.daowiz.RecordDao
This is a generic DAO that will be inherited by each table specific DAO to contain custom code. The data access methods should be overloaded to take the correct record type and given public access.
| Constructor Summary | |
RecordDao()
Constructs a dao |
| Method Summary | |
protected boolean |
create(java.sql.Connection conn,
Record record)
Creates a new DB record |
protected java.lang.String |
createDeleteSql(Record record)
Creates SQL for deleting the record in a prepared statement with the primary key as the criteria. |
protected java.lang.String |
createExistSql(Record record)
Creates SQL for selecting certain fields in the record by the primary key. |
protected java.lang.String |
createInsertSql(Record record)
Creates SQL for creating the record in a prepared statement |
protected java.lang.String |
createLoadAllSql(Record record)
Creates SQL for loading all records in the table ordered by primary keys |
protected java.lang.String |
createLoadSql(Record record)
Creates SQL for completely loading a record by the primary key |
protected java.lang.String |
createSearchSql(Record record,
boolean exact)
Creates SQL for loading all records in the table matching given criteria ordered by primary keys |
protected java.lang.String |
createUpdatePkSql(Record oldRecord,
Record newRecord)
Creates SQL for updating a records primary key in a prepared statement. |
protected java.lang.String |
createUpdateSql(Record record)
Creates SQL for updating the record in a prepared statement. |
protected int |
delete(java.sql.Connection conn,
Record record)
Deletes a database record. |
protected boolean |
exist(java.sql.Connection conn,
Record record)
Checks if record exist. |
protected boolean |
load(java.sql.Connection conn,
Record record)
Fully loads the record with the given primary key. |
java.util.List |
loadAll(java.sql.Connection conn)
Loads all the records in this table |
protected abstract Record |
newRecord()
Creates record associated with this dao. |
protected int |
save(java.sql.Connection conn,
Record record)
Saves the record calling either or create or update depending on what exist(conn,record) returns |
protected java.util.List |
search(java.sql.Connection conn,
Record searchRecord,
boolean exact)
Searches for records matching the given record |
protected int |
update(java.sql.Connection conn,
Record record)
Updates a database record. |
protected int |
updatePK(java.sql.Connection conn,
Record oldRecord,
Record newRecord)
Changes the primary key of a record |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public RecordDao()
| Method Detail |
protected abstract Record newRecord()
protected boolean exist(java.sql.Connection conn, Record record) throws java.sql.SQLException
conn
- an active DB connectionrecord
- the record to be checked
java.sql.SQLException
protected int save(java.sql.Connection conn, Record record) throws java.sql.SQLException
conn
- an active DB connectionrecord
- the record to be saved
java.sql.SQLException
protected boolean create(java.sql.Connection conn, Record record) throws java.sql.SQLException
conn
- an active DB connectionrecord
- the record to be created
java.sql.SQLException
protected int update(java.sql.Connection conn, Record record) throws java.sql.SQLException
conn
- an active DB connectionrecord
- the record to update
java.sql.SQLException
protected int delete(java.sql.Connection conn, Record record) throws java.sql.SQLException
conn
- an active DB connectionrecord
- the record to delete
java.sql.SQLException
protected int updatePK(java.sql.Connection conn, Record oldRecord, Record newRecord) throws java.sql.SQLException
conn
- an active DB connectionoldRecord
- record with old primary key values setnewRecord
- record with new primary key values set
java.sql.SQLException
protected boolean load(java.sql.Connection conn, Record record) throws java.sql.SQLException
conn
- an action DB connectionrecord
- record with primary key values set
java.sql.SQLException
public java.util.List loadAll(java.sql.Connection conn) throws java.sql.SQLException
conn
- an active DB connection
java.sql.SQLException
protected java.util.List search(java.sql.Connection conn, Record searchRecord, boolean exact) throws java.sql.SQLException
conn
- an active DB connectionsearchRecord
- the record to be matchedexact
- indicator of if the matches must be exact.
java.sql.SQLException
protected java.lang.String createInsertSql(Record record)
record
- the record to create
protected java.lang.String createUpdateSql(Record record)
record
- the record to create
protected java.lang.String createDeleteSql(Record record)
record
- the record to delete
protected java.lang.String createUpdatePkSql(Record oldRecord, Record newRecord)
protected java.lang.String createExistSql(Record record)
record
- set fields in the record are the select list
protected java.lang.String createLoadSql(Record record)
record
- the record to load
protected java.lang.String createLoadAllSql(Record record)
record
- the record type to be loaded
protected java.lang.String createSearchSql(Record record, boolean exact)
record
- the record that should be matched
|
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Latest updates
Feb 25th 2015: HoloViews announced as the winner in its category at the UK Open Source Awards 2015.
Mar 19th 2015: HoloViews now available on SageMathCloud.
May 14th 2015: Talk on HoloViews announced at SciPy Conference 2015.
May 27th 2015: HoloViews 1.2.0 released and now available on PyPI.


DECAF° jQuery Plugin - delayed password masking | Demo
Password:
and another password field:
Password:


The base component contains the basic features to use MobileUI and any other component of this kit. With this component, you can use the color themes, icons and some classes of positioning and alignment of elements in the interface.
To use it you need to install with the command:
mobileui install base


Results: Topics Discussed
The below list is sorted by relevance to the conversation
Results: Sentiment
Polarity:
Overall:
Topics By Stride
Sentiment By Stride
Export Results to Excel


Esper Dragons
Second Trimester
Mana (22)
- 1 Black Lotus
- 1 Mox Pearl
- 1 Mox Ruby
- 1 Mox Emerald
- 1 Mox Sapphire
- 1 Mox Jet
- 1 Sol Ring
- 3 Tundra
- 3 Underground Sea
- 2 Island
- 4 Scalding Tarn
- 2 Flooded Strand
- 1 Library of Alexandria
Card Draw, Card Selection (14)
- 3 Gush
- 3 Preordain
- 2 Dig Through Time
- 1 Treasure Cruise
- 1 Brainstorm
- 1 Ponder
- 1 Ancestral Recall
- 1 Demonic Tutor
- 1 Time Walk
Countermagic (11)
- 4 Force of Will
- 3 Mental Misstep
- 2 Flusterstorm
- 2 Mana Drain
Disruption, Removal (6)
- 3 Moat
- 3 Duress
Creatures (4)
- 4 Dragonlord Ojutai
Planeswalkers (3)
- 2 Jace, the Mind Sculptor
- 1 Liliana of the Veil
Sideboard
- 3 Containment Priest
- 3 Tormod’s Crypt
- 2 Hurkyl’s Recall
- 3 Steel Sabotage
- 2 Swords to Plowshares
- 1 The Tabernacle at Pendrell Vale
- 1 Thoughtseize


A toolkit that can be useful for everyone out there that makes experiments in Java, records measurements and generates reports ("tell me what is the average of the measurements per this variable"). It can even create diagrams out of them (gnuplot and JFreeChart are supported), although this should be considered as a bonus. The real thing is that you no longer have to fight with boilerplate and custom reporting code (especially the last few days before research paper submission deadlines!). If you ever need to make experiments / benchmarks in Java and gather data and analyze them, you definitely want to take a look in this! Check out the javadocs included in the JBenchy's bundle (make sure to start from the package specifications because they contain usage examples).
Originally known (among friends) simply as "Aggregator". Yes, a bit of lack of imagination there. I created it so to easily aggregate (structured) data from experimental measurements, so here you go! Which is not to be confused with RSS aggregators, news aggregators, and what not.
Database db = DbFactories.localDerby().getOrCreate("exampleDb");
Schema schema = new Schema() .add("input1", DataTypes.DOUBLE) .add("input2", DataTypes.DOUBLE) .add("measurement", DataTypes.DOUBLE);
Aggregator aggregator = db.forceCreate(schema, "data");
for (double input1 = 0.0; input1 < 10.0; input1 += 0.5) { for (double input2 = 0.0; input2 < 10.0; input2 += 0.5) { //execute experiment for these parameters //repeat each experiment ten times for (int repeats = 0; repeats < 10; repeats++) { double measurement = experiment(input1, input2); //create a record representing the specific experiment and store it aggregator.record(new Record() .add("input1", input1) .add("input2", input2) .add("measurement", measurement)); } } }
enum Variables { INPUT1, INPUT2, MEASUREMENT }In fact, any object can be used, internally its .toString() method is called, and the string is used in a case-insensitive manner).
Now lets see the average measurement, for each distinct value of "input1":
Records records1 = aggregator.averageOf("measurement").per("input1"); System.out.println(records1);(Note that multiple variables can be specified in the per() clause, or the perAll() method can be used to aggregate over all values).
//Prints the following (null is the key for the average we requested): //{INPUT1=0.0, null=2.4134248936280946} //{INPUT1=0.5, null=2.446740183102116} //{INPUT1=1.0, null=2.4209812849423153} //... //{INPUT1=8.5, null=2.451182446002516} //{INPUT1=9.0, null=2.4580809911471158} //{INPUT1=9.5, null=2.4079731939133824}
Records records2 = aggregator.averageOf("measurement").per("input2"); System.out.println(records2); //Prints: //{INPUT2=0.0, null=0.49248966971474956} //{INPUT2=0.5, null=5.2688706685206865} //{INPUT2=1.0, null=8.900585034163608} //... //{INPUT2=8.5, null=8.489498306888802} //{INPUT2=9.0, null=4.617760556069815} //{INPUT2=9.5, null=-0.2626161345687626}
Diagram diagram = DiagramFactory.newDiagram(records2); new ChartFactory(diagram).newLineChart().write(800, 600, "jpeg", new File("image.jpg"));
static double experiment(double input1, double input2) { return Math.sin(input2) * 10.0 + Math.random(); }


|
This inspection reports common JavaScript patterns for detecting
the browser or operating system in which script is being run. In addition
to pointing out non-portable constructs, these platform detection patterns
are often incomplete and easily fooled. For most cases, detection of individual
environment features is preferable to attempting to detect the entire platform.
Patterns detected include
document.all,
document.layers,
navigator.userAgent,
navigator.oscpu,
navigator.appName,
navigator.appCodeName, and
navigator.platform
|


About Me:
My name is Manisha Gautam, I am currently living in the city of Seattle.
I like to try a lot of new things and I believe into one saying :
"If life is giving lemons make margarita out of it and Chill!!!!"
National Parks Visitied in USA:
Mount Rainie National Park,
Grand Canyon National Park,
Yosemite National Park
Olympic National Park
Countries Travelled:
Spain
Portugal
Greece
Romania
Best fun loving memory:
Attending Ultra Music Festival in 2017.
It was unlimited fun for three days in the beautiful city of Miami!!!
The best thing which I remember till date is dancing like crazy when DJ Afrojack took the stage!!!
Adventure sports I have done so far:
- Bungee Jumping
- Kayaking
- River Rafting
- Para Sailing
- Hiking
Countries I have lived in so far:
- 1. USA
- 2. Belgium
- 3. Netherlands
- 4. India


--- layout: post title: cooking with booze date: '2007-11-21T07:19:39+00:00' tags: [] tumblr_url: http://backlog.robbevan.com/post/19899274/cooking-with-booze ---
Cooking With Booze


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.apidocumentation.models.ViewModel @import uk.gov.hmrc.apidocumentation.models.apispecification.ResourceGroup @import uk.gov.hmrc.apidocumentation.views.helpers.{Markdown, Slugify} @(resourceGroup: ResourceGroup, viewModel: ViewModel) @getHttpPillClass(method: String) = @{ method match{ case "GET" => "govuk-tag govuk-tag--blue" case "PUT" => "govuk-tag govuk-tag--purple" case "POST" => "govuk-tag govuk-tag--green" case "DELETE" => "govuk-tag govuk-tag--red" case _ => "govuk-tag govuk-tag--turquoise" } } @defining(resourceGroup.name.getOrElse("")) { titleSection => @if(resourceGroup.name.isDefined) {
@{head.mkString("/")}/@tail
}


Package formats
source code
Image Metadata drivers
Generic and custom image format drivers
Example:
>>> import metageta.formats
>>> dataset = metageta.formats.open(somefile)
>>> print dataset.extent
[[139.214834,-20.155611],[139.28967,-20.170712],[139.403241,-19.311661],[139.47766,-19.326724]]
>>> print dataset.metadata['filetype']
CEOS/Landsat CCRS Format
>>> print dataset.metadata['datatype']
Int16
Adding support for another format:
-
Create a new .py file. Name the .py file whatever you want as long
as the filename doesn't begin with an underscore "_"
-
Define one or more "regular expression" strings to match
your formats filename
-
Create a "Dataset" class that inherits either from the
base __dataset__.Dataset class or from the __default__.Dataset
class (See class hierarchy below)
-
The default Dataset class is useful if GDAL can read your format
and you just need to populate some extra fields.
-
Populate appropriate filelist & fileinfo in the __init__ method
of your dataset class (if required), do not populate the metadata
dict!
-
Populate appropriate metadata and extent variables in the
__getmetadata__ method of your dataset class
-
Your format will be automatically loaded when the formats module is
initialised.
-
Errors should be propagated back up the chain. If you can't handle
a certain file and for some reason you don't want an error to get
raised (eg. the ENVI driver (*.hdr) doesn't handle ESRI bil/flt
headers (*.hdr)) then raise NotImplementedError which will be
ignored in lib.formats.Open()
-
If you want some info to get logged by the application and then
continue processing (e.g the image doesn't have a projection
defined, etc...) then use the warnings.warn("Some
message") method - don't forget to import the warnings module!
-
Date/Time formats must follow follow AS ISO 8601-2007 (see: http://www.anzlic.org.au/metadata/guidelines/Index.html?date_and_datetime.htm)
Class hierarchy:
__dataset__.Dataset()
| #Base Dataset class
|
|----.metadata={} #the metadata dictionary.
| #the metadata dictionary.
| #You can only populate fields defined in __fields__.py
| #keys are immutable (values can be changed, but keys can't be
| #added or deleted)
|
|----.filelist=[] #the list of related files
|
|----.fileinfo={ #file information
| 'size':..., #doesn't included size of related files... TODO?
| 'filename':...,
| 'filepath':...,
| 'guid':...,
| 'metadatadate':...,
| 'datemodified':...,
| 'datecreated':...,
| 'dateaccessed':...,
| 'ownerid':...,
| 'ownername':...
| }
|
|----.extent=[[x,y],[x,y],[x,y],[x,y]]
| #Extent of the four corners in geographic (lon,lat) coordinates.
| #May be rotated (eg. for path oriented images). Coordinate order
| #is irrelevant, as long as it doesn't create a self-intersecting
| #polygon.
|
|----getoverview(outfile=None,width=800,format='JPG'))
| #generate thumbnails and quicklooks
|
|----__new__(file)
| #Initialise the class object and populate fileinfo
|
|----__getfilelist__()
| #populate filelist
|
|----__default__.Dataset(__dataset__.Dataset)
| | #Default Dataset class
| |
| |----__getmetadata__(file)
| | #Populate appropriate fields in the metadata dictionary
| | #Populate extent list
| |
| |----someformat.Dataset(__default__.Dataset)
| | #Custom format inherits from subclass __default__.Dataset.
| |
| | #Use this when GDAL can read most of the images metadata,
| | #but you need to populate some other stuff as well
| | #If you inherit from this, don't forget to call
| | #__default__.Dataset.__getmetadata__(file) explicitly
| | #as your class will override this method
| |
| |----__init__(file)
| | #Populate/update filelist, fileinfo if required
| |
| |----__getmetadata__(file)
| | #Populate appropriate fields in the metadata dictionary
| | #Populate extent list
| |
| |----__default__.Dataset.__getmetadata__(file)
| #Call superclass init explicitly
|
|----anotherformat.Dataset(__dataset__.Dataset)
| #Custom format inherits from base class - __dataset__.Dataset
|
| #You need to populate basic metadata yourself.
|
|__init__(file)
| #Populate/update filelist, fileinfo if required
|
|__getmetadata__(file)
| #Populate appropriate fields in the metadata dictionary
| #Populate extent list
To Do:
-
Need to pass back info about import errors - warnings.warn perhaps?
-
More info re. geometric, radiometric corrections where available
(ccrs,...)
-
__dataset__.__getfilelist__() does not handle different file formats
with the same basename eg.
dir/abc.jp2,dir/abc.j2i,dir/abc.tif,dir/abc.tfw This could be handled
with a bit of kludgery, but should it...? Can we assume that abc.jp2 is
the compressed version of abc.tif and should all be lumped together (as
currently happens)?
|
|
__formats__ = { ' ali_hyperion ' : <module 'metageta.formats.ali_h...
|
|
|
format_regex = [ ' eo1[ah].*\\.[lm]1r$ ' , ' eo1.*_hdf\\.l1g$ ' , ' eo ...
List of file path regular expressions defined by format drivers
|
|
|
fields = { ' DELETED ' : None, ' LL ' : None, ' LR ' : None, ' UL ' : None, ...
List of metadata fields that can be populated
|
|
|
debug = False
|
|
|
__package__ = ' metageta.formats '
|
|
|
_lib = ' ula '
|
|
|
_r = ' .*\\.grc$|.*\\.grd$|.*\\.tab$ '
|
|
|
r = ' scene01(\\\\|/).*\\.tif$ '
|
|
Open an image with the appropriate driver.
- Parameters:
f (str ) - a filepath to the dataset to open.
- Returns:
formats.Dataset
- formats.Dataset object
To Do:
perhaps log the entire error stack if a file couldn't be opened?
|
__formats__
- Value:
{ ' ali_hyperion ' : <module 'metageta.formats.ali_hyperion' from 'D:\meta
geta-github\trunk\metageta\formats\ali_hyperion.pyc'>,
' alos ' : <module 'metageta.formats.alos' from 'D:\metageta-github\trun
k\metageta\formats\alos.pyc'>,
' aster ' : <module 'metageta.formats.aster' from 'D:\metageta-github\tr
unk\metageta\formats\aster.pyc'>,
' ccrs ' : <module 'metageta.formats.ccrs' from 'D:\metageta-github\trun
k\metageta\formats\ccrs.pyc'>,
...
|
|
format_regex
List of file path regular expressions defined by format drivers
- Value:
[ ' eo1[ah].*\\.[lm]1r$ ' ,
' eo1.*_hdf\\.l1g$ ' ,
' eo1.*_mtl\\.tif$ ' ,
' eo1.*_mtl_.*\\.l1t$ ' ,
' LED-ALAV.*_U$ ' ,
' LED-ALAV.*___$ ' ,
' LED-ALPSR.*UD$ ' ,
' LED-ALPSM.*\\_U[BFNW]$ ' ,
...
|
|
fields
List of metadata fields that can be populated
- Value:
{ ' DELETED ' : None,
' LL ' : None,
' LR ' : None,
' UL ' : None,
' UR ' : None,
' abstract ' : None,
' bands ' : ( ' string ' , 50) ,
' cellx ' : ' float ' ,
...
|
|


Loans worth over ₹10 lakh sanctioned under MUDRA Yojana
The PMMY is a scheme launched by the prime minister on April 8, 2015, for providing loans up to ₹10 lakh to non-corporate, non-farm small/micro enterprises.
by PTIThe government on December 9 said more than ₹10 lakh crore have been disbursed under the Pradhan Mantri Mudra Yojana till November 1, 2019.
The PMMY is a scheme launched by the prime minister on April 8, 2015, for providing loans up to ₹10 lakh to non-corporate, non-farm small/micro enterprises.
“Under the Pradhan Mantri Mudra Yojana (PMMY), 20.84 crore loan accounts totalling an amount of ₹10.24 lac crore have been sanctioned up to November 1, 2019,” Minister of State (IC) for Labour and Employment Santosh Kumar Gangwar said in a written reply to the Lok Sabha.


( a) Results of jackknife test for the area under the curve (AUC) of individual environmental variable importance relative to eight environmental variables for MaxEnt model. ( b) Correlation analysis of the independent variables. The red squares are for positive correlations and the blue ones for negative correlations. The stronger the correlation, the darker the color.


Deep Learning in AI – A Closer Look with ... By: Manuyash Chaudhary AI & NLP Developer & Researcher, Accubits Technologies 07/06/2017 5:00 pm Fuel Up JavaScript with Functional Programming By: Shine Xavier Senior Architect, UST Global 01/03/2017 5:00 pm Back


Do you want to Delete Execution Environment?
Execution Environment Deleted Successfully.
Environment Url Saved Successfully.
Execution Environment Added Successfully.
Access Role added Successfully.
Access Role Deleted Successfully.
Do you want to Delete Environment URL's?
Environment URL's Deleted Successfully.
Do you want to Delete Access Role?


Sun Facts
The Sun (or Sol), is the star at the centre of our solar system and is responsible for the Earth’s climate and weather. The Sun is an almost perfect sphere with a difference of just 10km in diameter between the poles and the equator. The average radius of the Sun is 695,508 km (109.2 x that of the Earth) of which 20–25% is the core.
Size of the Sun
Sun Facts
- The Sun is all the colours mixed together, this appears white to our eyes.
- The Sun is composed of hydrogen (70%) and Helium (28%).
- The Sun is a main-sequence G2V star (or Yellow Dwarf).
- The Sun is 109 times wider than the Earth and 330,000 times as massive.
- The Sun’s surface area is 11,990 times that of the Earth’s.
- The distance between the Earth and the Sun is an Astronomical Unit (AU)
-
One million Earths could fit inside the Sun.
A hollow Sun would fit around 960,000 spherical Earths. If squished inside with no wasted space, then around 1,300,000 would fit inside. The Sun’s surface area is 11,990 times that of the Earth’s.
-
The Sun contains 99.86% of the mass in the Solar System.
The mass of the Sun is approximately 330,000 times greater than that of Earth. It is almost three quarters Hydrogen, whilst most of the remaining mass is Helium.
-
The Sun is an almost perfect sphere.
There is a 10 kilometre difference between the Sun’s polar and equatorial diameter. This means it is the closest thing to a perfect sphere that has been observed in nature.
-
The Sun will consume the Earth.
When the Sun has burned all its Hydrogen, it will continue to burn helium for 130 million more years. During this time it will expand to the point that it will engulf Mercury, Venus, and the Earth. At this stage it will have become a red giant
Solar System Facts
The solar system was formed approximately 4.6 billion years ago by the collapse of a giant molecular cloud. The mass at its centre collected to form the Sun and a flat disk of dust around it. This eventually formed the planets and other bodies of the solar system.


Fresh Tomatoes Movie Trailers
Fifth Element
Lion King
Kill Bill: Vol. 1
Django Unchained
Thor: Ragnarok
Guardians of the Galaxy


Release date:
Price:
€
Web site:
Company:
Income estimation:
€
Sales estimation:
uds.
Total reviews:


{% extends '_base.html' %} {% import "bootstrap/wtf.html" as wtf %} {% block content %} Sorry, could not find lyrics for {{ artist }}


Send Us a Message
Please complete the form below and we will get back to you as soon as possible. We would appreciate if you provide us with some details for your project so we can guide you in better way.
Please complete the form below and we will get back to you as soon as possible. We would appreciate if you provide us with some details for your project so we can guide you in better way.
123 Lorem Road Ipsum Dolor, AB A1B 1B6


Find Github users via username search.
Enter a github username into the search bar above.
Click the search button to search.
Repositories and their Github Links will be displayed!
Happy searching!


{%extends 'base0.html'%} {% block content %} {{block.super}}
You don't have a neighbourhood yet, please add a Neighbourhood to your profile
Location: {{ neighbourhood.location}}
Email address: {{ b.business_email}}
{{b.name}} is an Emergency service
{% else %}{{b.name}} is not an Emergency service
{% endif %}Submitted by: {{b.user_owner.name}}


- launchModifyChoicesAction(View) - Method in class cmput301f13t10.view.SectionEditView
-
Listener for the modify choices button.
- launchSectionEditView(View) - Method in class cmput301f13t10.view.AdventureEditView
-
Listener for the new section button.
- libContains(AdventureModel) - Method in class cmput301f13t10.presenter.LibraryModel
-
- LibraryEditView - Class in cmput301f13t10.view
-
This is an activity that displays a list of adventures to the user.
- LibraryEditView() - Constructor for class cmput301f13t10.view.LibraryEditView
-
- LibraryModel - Class in cmput301f13t10.presenter
-
Data associated with the library's in the app.
- LibraryModel() - Constructor for class cmput301f13t10.presenter.LibraryModel
-
- LibraryPresenter - Class in cmput301f13t10.presenter
-
- LibraryPresenter(UpdatableView) - Constructor for class cmput301f13t10.presenter.LibraryPresenter
-
- LibraryView - Class in cmput301f13t10.view
-
This is an activity that displays a list of adventures to the user.
- LibraryView() - Constructor for class cmput301f13t10.view.LibraryView
-
- loadAdventures(FileInputStream) - Static method in class cmput301f13t10.model.FileInteractor
-
Load the adventures from the given file
- loadData() - Method in class cmput301f13t10.presenter.LibraryModel
-
- loadData() - Method in class cmput301f13t10.presenter.LibraryPresenter
-
- loadMedia() - Method in class cmput301f13t10.view.AnnotationEditView
-
Load all media and update the display.
- loadMedia() - Method in class cmput301f13t10.view.SectionEditView
-
Load all media and update the display.
- log(String, Exception) - Static method in class cmput301f13t10.presenter.Logger
-
- Logger - Class in cmput301f13t10.presenter
-
Logs errors
- Logger() - Constructor for class cmput301f13t10.presenter.Logger
-


@extends('layouts.app')
@section('content')
The Missouri Soccer Association is a soccer organization in the state of Missouri.
We are the nonprofit organization and our goal is to coordinate the school soccer meets and tournaments in the state of Missouri.
Currently around 100+ schools of Missouri are associated with us. We have conducted various tournaments successfully.
Phone numbers-<PHONE_NUMBER>
(402)913-1112
Fax-<PHONE_NUMBER>
Email id-<EMAIL_ADDRESS>@endsection


POSTED ON 15 DEC 2013 / DESSERTS
For the fig-swirl: Melt butter over medium head in a saucepan. Add brown sugar and stir to dissolve. Halve all of the figs and toss in the saucepan with water and lemon hoice. Cook over medium head, stirring frequently, until you have a chunky-jammy mixture. Add salt with one of two stirs, set aside and let cool completely.
Ice cream: in a small pot over medium heat, combine mild, and granulated sugar until sugar is completely dissolved and the milk is just barely lukewarm. Whisk in the egg yolks, Set mixture in the fridge and wait until the fig mixture is cooled.
Using an ice cream machine, pour liqueids into the frozen basin, and process according to manufacturier instructions, i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam mixture, and the nuts. Continue to process for +/- 10 minutes. Pour semi-frozen mixture into a pyrex dish or glass tupperware. Freeze for at least two hours before serving.


TRUE CRIME A film review by Matt Williams
RATING: * out of * * * *
It is sad to see a movie like True Crime go so horribly, horribly wrong. It has a good director and a very talented cast, all of whom are doing their utmost to enliven the routine story. But at each and every turn, they are thwarted by a horrific screenplay.
Clint Eastwood directs and stars as reporter Steve Everett. Steve is a train wreck of a man with a penchant for cheating on his wife with very young women (particularly those who are close relatives of his employers). He's a recovering alcoholic with only one thing to rely on: his nose for news.
On what may be the last story of his career, Steve is assigned a puff piece detailing the last day of a man on death row. The man, Frank Beachum (Isaiah Washington), was convicted of killing a pregnant store clerk over a minuscule debt. He protested his innocence, but two witnesses
But as Steve conducts the routine interviews, he gets one of his trademark hunches: Frank is an innocent man. But there are fewer than twelve hours until Frank's execution. Is Steve right? And, if he is, how can he prevent Frank's death if he can't ever do anything right?
True Crime is a movie filled with great actors, and some good scenes. But, even with those plusses, it is one heck of a terrible movie. The problem is the screenplay, pure and simple. It sets up one jaw-droppingly bad situation after another. Just when you think the film can't get any more ridiculous, it manages to top itself yet again.
And it truly is a pity. The interplay between Clint Eastwood and his editor-in-chief (played with relish by James Woods) is a delight and deserves to be in a much better movie than this. In fact, nearly all the actors in the film are able to deliver much more innovation than their cardboard characters deserve.
In fact, the film is almost (I repeat, almost) watchable on the basis of the actors alone. But, every time when you are just about to forgive the screenplay for its countless sins, it deposits out of the blue yet another terrible line of dialogue, a completely ridiculous plot twist, or a jarringly obvious cliche.
All of this wasted potential makes True Crime absolutely painful to watch. Usually, movies this bad will numb you over time. But, with True Crime, you are always able to see the brilliant movie that is just out of reach...and the experience is devastating.
Copyright 1999 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of nearly 700 reviews, and information on over 750 upcoming releases
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


adele - rolling in the deep
blue - one love
celion dion - a new day has come
adam lambert - whataya want from me
alicia keys - if i aint got you
amy diamond - heartbeats
angela ammons - always getting over you
avril lavigne - losing grip
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description = "Home Page Layout" == {% partial "header" %}
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Name: John Dummy
Profession: Student
eMail<EMAIL_ADDRESS>About Me: I am StongFoodie
| Incident | Responses |
|---|---|
| Number of resolved incidences | 5 |
| Number of incidences in draft | 3 |
| incidences in investigation | 2 |
| Rejected incidences | 1 |
| Total incidences | 12 |
Profession: Student
eMail<EMAIL_ADDRESS>About Me: I am StongFoodie
| Incident | Responses |
|---|---|
| Number of resolved incidences | 5 |
| Number of incidences in draft | 3 |
| incidences in investigation | 2 |
| Rejected incidences | 1 |
| Total incidences | 12 |


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THE MAN IN THE MOON A film review by Mark R. Leeper Copyright 1991 Mark R. Leeper
Capsule review: This is the story of a salt-of-the- earth sort of family in Louisiana in the 1950s, and especially Dani, a 14-year-old with a crush on the 17-year- old boy next door. Two good performances and good photography are sold short by melodramatic plot twists. Rating: low +1 (-4 to +4).
It is 1957 in rural Louisiana. Fourteen-year-old Dani Trant (played by Reese Witherspoon) is just at the awkward age when she is approaching womanhood and thinks she has neither looks nor intelligence. She envies her older sister Maureen (played by Emily Warfield), who is attractive and gets good grades. Then her father's old girlfriend, now a widow, moves in next door, bringing her own family including a seventeen-year-old son, Court Foster (played by Jason London). Court and Dani become good friends. Their friendship begins platonically, but Dani gets a crush on Court and is anxious to push things just a bit further. All by itself this relationship causes problems between Dani and her father Matthew (played by Sam Waterston). However, more family strains start to show when Court discovers Maureen, a Trant daughter his own age.
Robert Mulligan directs this story with all the sensitivity he can muster. And sensitivity is certainly what the plot needs, since it is perilously close to being a trashy Southern passions sort of melodrama. In different hands this story could have been another GOD'S LITTLE ACRE. However, this is avoided, thanks to good acting on the parts of Reese Witherspoon and especially Sam Waterston. As Matthew, Waterston seems uneasy with the responsibility of fatherhood. By turns he is authoritarian or compassionate, but neither with real conviction.
The most unfortunate aspect of the film is a melodramatic turn toward the end of the film. the two sisters are headed for conflict in one way when the all too obvious hand of the scriptwriter distorts things. It leaves the conflict but warps it into a different one, and one that may be more quickly resolved. The last twenty minutes of the film are the least satisfying.
Photography is by the excellent Freddie Francis, whose credits as cinematographer include THE INNOCENTS, THE FRENCH LIEUTENANT'S WOMAN, and GLORY. Overall the good moments of the film do not quite overcome its weaknesses. I give it a low +1 on the -4 to +4 scale.
Mark R. Leeper att!mtgzy!leeper<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


--- layout: post title: it-e-75 Distributed Database System date: 2011-08-16 16:11:22.000000000 +01:00 type: post published: true status: publish categories: - "英语" tags: - english - it meta: views: '30' author: login: ig2net email<EMAIL_ADDRESS>display_name: "农夫一号" first_name: '' last_name: '' ---
A decentralized system-known in the database world as a distributed system can be highly responsive to differences in data gathering, storage, and access. It can adjust to differences in user psychology-between, say, a multinational corporation's employees in individualistic Greece and in disciplined Japan. It can also adapt to the management styles of strong managers in different locations．
An organization that prefers homogeneity and top-down control will naturally choose a centralized database system. It may also prefer the hierarchical data model．
By contrast, an organization that prefers local improvisation and free wheeling may well choose distributed database system. It may also choose the network data model，which is well suited to searching and updating data in a distributed system.
Communication between distributed commutinies of computer is required for many reasons．At a national level, for example, computers located in different parts of the country use public communication services to exchange electronic messages（mail） and to transfer files of information from one computer to another: Similarly, at a local level within, say, a single building or establishment, distributed communities of computer-based workstations use local communication networks to access expensive shared resources-for example, printers, copiers, disks and tapes, etc．-that are also managed by computers．Clearly, as the range of computer-based products and associated public and local com-medication networks procreate, computer-to-computer communication will expand rapidly and ultimately dominate the field of distributed system.
Historically, computers were so expensive that most large organizations did all their data processing on a single, centralized machine. While very efficient for such tasks as payroll and generating accounting reports, the centralized approach was very useful to those who needed a quick response to a unique, local problem.
With today's inexpensive micros and minis, there is no reason why a branch office, the engineer-in department, or any other group needing computer support cannot have its own computer. By linking these remote machines to a centralized computer via communication lines, local activity can be monitored and coordinated. This approach is called distributed data processing.
1, arbitrary
a. 任意的,恣意的,专制的
2, homogeneity [,hɔməudʒe'ni:əti, ,həu-]
n. 同质；同种；同次性（等于homogeneousness）
3, improvisation [,imprəvai'zeiʃən]
n. 即兴创作；即席演奏
4, procreate ['prəukrieit]
vi. 生育（子女）；产生
vt. 生殖
5, payroll ['peirəul]
n. 工资单


A set is a collection of pending timer and/or match events. When
any one event occurs, or upon execution of the appropriate cancel
command, all events in the set are cancelled.
Multiple sets may be active at any time. The occurrence of an event from one set has no effect on events in other sets.


Python API documentation¶
sacc
contains one main class and 4 subclasses:
sacc.sacc.SACC
sacc.binning.Binning
sacc.tracer.Tracer
sacc.meanvec.MeanVec
sacc.precision.Precision
sacc.window.Window
-
class
sacc.sacc.
SACC
(tracers, binning, mean=None, precision=None, meta={})¶ SACC creator from its individual components.
SACC objects are the main container class for 2-point measurements.
Parameters: - tracers (Tracer) – list of Tracer objects used in the measurement and referenced in binning parameter
- binning (Binning) – Binning object describing what measurement each index in the mean vector and precision matrix contains.
- mean (MeanVec) – Vector representing the actual two-point measurement. If not a MeanVec object, will try to cast it into one.
- precision (Precision) – Precision object representing the covariance matrix or its inverse (a.k.a. the precision matrix).
- meta (dict) – dictionary containing additional metadata.
-
cullCross
()¶ Cuts out all elements of the data vector (and covariance, etc.) that are not auto-correlations.
-
cullLminLmax
(lmin, lmax)¶ Implement scale cuts on the data vector and the covariance.
Parameters: lmin,lmax (array_like) – lists of minimum/maximum scales for each tracer. Any correlation will be cut to the most stringent scale cuts associated with the two tracers that go into it. CHECK THAT THIS IS TRUE.
-
get_exp_sample_set
()¶ Return the set of exp_samples (essentially a label attached to each Tracer) contained in this SACC file.
Returns: set with all the exp_sample labels.
-
ilrange
(t1i, t2i)¶ Returns the indices of the data vector containing the cross-correlation between tracers t1i and t2i.
Parameters: - t1i (int) – index of the first tracer.
- t2i (int) – index of the second tracer.
Returns: array of indices.
-
classmethod
loadFromHDF
(SACC, filename, mean_filename=None, precision_filename=None)¶ Create a SACC object from the contents of an HDF5 file.
Parameters: - filename (str) – path to input file. The file should contain at least tracers and binning.
- mean_filename (str) – path to file containing the data vector (set to None if filename already contains this or if you don’t nead the data vector).
- precision_filename (str) – same as mean_filename for the precision/covariance matrix.
Returns: SACC
object.
-
lrange
(t1i, t2i)¶ Returns the scales at which the cross-correlation between t1i and t2i are stored.
Parameters: - t1i (int) – index of the first tracer.
- t2i (int) – index of the second tracer.
Returns: array of scales.
-
plot_vector
(subplot=None, plot_corr='all', weightpow=2, set_logx=True, set_logy=True, show_axislabels=False, show_legend=True, prediction=None, clr='r', lofsf=1.0, label=None)¶ Plots the mean vector associated to the different tracers in the SACC file. The tracer correlations to plot can be selected by passing a list of pairs of values in plot_corr. It can also plot the autocorrelation by passing ‘auto’, the cross-correlation by passng ‘cross’, and both by passing ‘all’. The correlations will be weighted by a factor of ell^{weightpow} (where ell is the nominal scale for each cross-correlation element).
TODO: finish describing all other parameters.
Parameters: - plot_corr (str/array_like) – select which correlations to plot. This can be done by passing a list of tracer index pairs, ‘auto’ to plot all auto-correlations, ‘cross’ to plot all cross-correlations or ‘all’ to plot everything.
- weightpow (float) – the correlations will be weighted by a factor of ell^{weightpow} (where ell is the nominal scale for each cross-correlation element).
-
printInfo
()¶ Prints information about the contents of this SACC file
-
saveToHDF
(filename, save_mean=True, save_precision=True, mean_filename=None, precision_filename=None)¶ Write this SACC object into an HDF5 file.
Parameters: - filename (str) – path to output file.
- save_mean (boolean) – whether to save the mean vector.
- save_precision (boolean) – whether to save the covariance matrix.
- mean_filename (str) – path to additional output file where the mean is to be saved.
- precision_file (str) – same as mean_filename for the precision/covariance matrix.
-
size
()¶ Returns the size of the mean vector
Returns: vector size.
-
sortTracers
()¶ Return information about all the ingredients that define each element of the data vector.
Returns: list of tuples, with one element per data vector element. Each tuple contains 5 elements: t1i, t2i, typ, ells, ndx. t1i and t2i are the indices of the tracers that go into this cross-correlation. typ is the type of correlation contained here. ells contains the scales at which this cross-correlation is stored. ndx contains the indices of the data vector containing this cross-correlation.
-
class
sacc.tracer.
Tracer
(name, type, z, Nz, exp_sample=None, Nz_sigma_logmean=None, Nz_sigma_logwidth=None, DNz=None, Mproxy_name=None, Mproxy_min=None, Mproxy_max=None)¶ Tracer objects contain information about the maps contributing to any of the 2-point functions stored in a SACC file.
Parameters: - name (str) – Name for the tracer.
- type (str) – The type of tracer, i.e. whether it is a spin0 or spin2 observable. TODO:check this.
- exp_sample (str) – The experiment this tracer corresponds to. While name should be unique for each tracer, many tracers can have the same exp_name.
- z,Nz (array_like) – arrays describing the redshift distribution of this tracer
- NZ_sigma_logmean (float) – TODO
- NZ_sigma_logwidth (float) – TODO
- DNz (float) – TODO
- Mproxy_name (str) – name of the mass proxy if the tracer is clusters. Defaults to None.
- Mproxy_min (float) – minimum value of the mass proxy bin if the tracer is clusters. Defaults to None.
- Mproxy_max (float) – maximum value of the mass proxy bin if the tracer is clusters. Defaults to None.
-
addColumns
(columns)¶ Adds extra columns describing a tracer (e.g. b(z) or some other function).
Parameters: columns (dict) – dictionary where each value should be an array with as many elements as Tracer.Nz. These can be later accessed as Tracer.extra_cols or through Tracer.extraColumn(column_name). This function can be called as many times as you want, and this dictionary will be updated with new columns.
-
extraColumn
(key)¶ Returns a given extra column from this tracer. Literally the same as Tracer.extra_cols[key].
Parameters: key (str) – name of the extra column. Returns: array with the column.
-
is_CL
()¶ Check if this tracer is a cluster stack.
Returns: True or False.
-
is_WL
()¶ Is the tracer a source for a lensing measurement. Returns a boolean. TODO: this doesn’t make much sense.
-
classmethod
loadFromHDF
(Tracer, group, name)¶ Create a Tracer object from an HDF file.
Parameters: - group (h5py.Group) – HDF5 group where this tracer is saved.
- name (str) – name of the tracer to load.
Returns: Tracer
object.
-
meanZ
()¶ Returns mean redshift for this tracer.
Returns: mean redshift.
-
saveToHDF
(group)¶ Save the tracer to an HDF file.
TODO: change how cmb is implemented.
Parameters: group (h5py.Group) – HDF5 group.
-
class
sacc.binning.
Binning
(typ, ls, T1, Q1, T2, Q2, windows=None, deltaLS=None, sunit=None)¶ Binning objects contain information about the make up of each element of the data vector stored in a SACC file.
Parameters: - typ (array_like) – array of strings, with each string describing the type of correlation stored in the corresponding element of the data vector. TODO: check this.
- ls (array_like) – array of floats, with each value describing the token scale of the corresponding data vector element.
- T1 (array_like) – array of ints, corresponding to the index of the first Tracer contributing to this data vector element.
- Q1 (array_like) – TODO not sure what this is.
- T2 (array_like) – array of ints, corresponding to the index of the second Tracer contributing to this data vector element.
- Q2 (array_like) – TODO not sure what this is.
- windows (array_like) – array of
sacc.window.Window
objects, describing the contribution of different scales to this element of the data vector. If None, delta windows are assumed at the token scales. - deltaLS (array_like) – TODO not sure what this is.
- sunit (array_like) – array of string, with each string describing the units of the corresponding data vector element.
-
cullBinning
(ndxlist)¶ Reduce this Binning object to the indices in ndxlist.
Parameters: ndxlist (array_like) – list of indices to preserve.
-
get_angle
(Q1, Q2, T1, T2, typ=None)¶ Return an array with the scale values for a given cross-correlation.
Parameters: - Q1 (str) – First quantity in pair, e.g. ‘S’ for shear, ‘P’ for position
- Q2 (str) – Second quantity in pair.
- T1 (str) – Index of the first tracer.
- T2 (str) – Index of the second tracer.
- typ (str) – The type of pair to restrict to. If None use all pairs.
Returns: array of scale values (length zero if no matches found).
-
get_bin_pairs
(Q1, Q2, typ=None)¶ Return an array of the pairs of bin indices included in this data corresponding to the cross-correlation of quantities Q1 and Q2 (and additionally of type typ).
TODO: not sure at all why this is a useful function. Also, should rename to get_tracer_pairs to keep naming consistent.
Parameters: - Q1 (str) – First quantity in pair, e.g. ‘S’ for shear, ‘P’ for position
- Q2 (str) – Second quantity in pair.
- typ (str) – The type of pair to restrict to. If None use all pairs.
Returns: nx2 array of tracer index pairs.
-
get_quantity_pairs
(typ=None)¶ Return an array of the pairs of quantities included in this data
Parameters: typ (str) – the correlation type to restrict to. If None use all pairs. Returns: array of unique pairs of quantities.
-
classmethod
loadFromHDF
(Binning, group)¶ Create a Binning object from an HDF file.
Parameters: group (h5py.Group) – HDF5 group where this binning is saved. Returns: Binning
object.
-
saveToHDF
(group)¶ Save the binning to an HDF file.
Parameters: group (h5py.Group) – HDF5 group.
-
saveToHDFFile
(filename)¶ Save the binning to an HDF file.
Parameters: filename (str) – path to output file.
-
size
()¶ Returns the size of this Binning object.
Returns: size of the binning object.
-
sacc.binning.
enc
(x)¶ If an object is a bytes instance or None, return it as-is Otherwise if it is a string object, return it as ascii bytes
Under python 2 bytes and string are the same, so this will always return the object as-is.
-
class
sacc.meanvec.
MeanVec
(values)¶ MeanVec objects contain the data vector stored in a SACC file.
Parameters: values (array_like) – data vector. -
cullVector
(ndxlist)¶ Reduce this MeanVec object to the indices in ndxlist.
Parameters: ndxlist (array_like) – list of indices to preserve.
-
classmethod
loadFromHDF
(MeanVec, group)¶ Create a MeanVec object from an HDF file.
Parameters: group (h5py.Group) – HDF5 group where this data vector is saved. Returns: MeanVec
object.
-
saveToHDF
(group)¶ Save the data vector to an HDF file.
Parameters: group (h5py.Group) – HDF5 group.
-
saveToHDFFile
(filename)¶ Save the data vector to an HDF file.
Parameters: filename (str) – path to output file.
-
size
()¶ Returns the size of the data vector
Returns: data vector size.
-
-
class
sacc.precision.
Precision
(matrix=None, mode='dense', is_covariance=True, binning=None)¶ Precision objects contain the covariance (or inverse covariance a.k.a. precision) matrix for the data vector stored in a SACC file.
Parameters: - matrix (array_like) – covariance or precision matrix.
- mode (str) – how is the matrix passed? Options: dense (full matrix), diagonal (only diagonal passed, assume off-diagonal is zero), ell_block_diagonal (matrix is diagonal between different scales).
- is_covariance (boolean) – set to True (default) if passing the covariance matrix. Otherwise, matrix should contain the precision matrix.
- binning (Binning) – a Binning object describing the data vector of this covariance. Only needed if mode==’ell_block_diagonal’.
-
cullMatrix
(ndxlist)¶ Reduce this Precision object to the indices in ndxlist.
Parameters: ndxlist (array_like) – list of indices to preserve.
-
getCovarianceMatrix
()¶ Get covariance matrix stored in this object.
Returns: covariance matrix.
-
getPrecisionMatrix
()¶ Get precision matrix stored in this object.
Returns: precision matrix (inverse covariance).
-
classmethod
loadFromHDF
(Precision, group, binning=None)¶ Create a Precision object from an HDF file.
Parameters: - group (h5py.Group) – HDF5 group where this precision object is saved.
- binning (Binning) – a Binning object describing the data vector of this covariance. Only needed if mode==’ell_block_diagonal’.
Returns: Precision
object.
-
saveToHDF
(group)¶ Save the precision object to an HDF file. If the covariance matrix exists then that one is saved, otherwise the precision is saved.
Parameters: group (h5py.Group) – HDF5 group.
-
saveToHDFFile
(filename)¶ Save the precision object to an HDF file.
Parameters: filename (str) – path to output file.
-
class
sacc.window.
Window
(ls=None, w=None)¶ Window objects contain information about the scales that contribute to a given data vector element.
Parameters: - ls (array_like) – array of scales.
- w (array_like) – array of weights for each scale.
-
classmethod
loadFromHDF
(Window, group, ndx)¶ Create a Window object from an HDF file.
Parameters: - group (h5py.Group) – HDF5 group where this data vector is saved.
- ndx (int) – index of the data vector element that you want the window function of.
Returns: Window
object.
-
saveToHDF
(group, ndx)¶ Save the windowr to an HDF file.
Parameters: - group (h5py.Group) – HDF5 group.
- ndx (int) – index of the data vector element that this window corresponds to.


Amazon workers stage strike on Black Friday
BERLIN (AP) - Workers at Amazon distribution centers in Germany have gone on strike for better pay on Black Friday, one of the busiest days of the year for the online retailer.
Union ver.di said Friday that the walkouts began overnight at six distribution centers across the country, with some due to last until Tuesday.
Union representative Orhan Akman said Amazon staff want to send a signal that their work can't be bought with the kind of extreme discounts Amazon offers around this time of the year.
Akman also accused the company of putting "extreme pressure" on staff that's causing some to fall ill.
Amazon said in an emailed statement that "packages are arriving punctually, because the bulk of employees is dealing completely normally with customers' orders today."
It said that it offers pay "at the upper end of comparable jobs" and other benefits.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


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- {{b}}


Warehouse keeper Holvas:
Eliminate
the Amber Basilisk, Strain, Ghoul, Granite Golem, Corpse Pursuer and Hanged Man Ripper
. Then please gather the pieces of the manuscript -- it should be about
30 pages
...
Please be careful...


2 writes to _paths
Microsoft.PowerShell.Commands.Utility (2)
commands\utility\UnblockFile.cs (2)
47
_paths
= value;
66
_paths
= value;
4 references to _paths
Microsoft.PowerShell.Commands.Utility (4)
commands\utility\UnblockFile.cs (4)
42
return
_paths
;
61
return
_paths
;
82
foreach (string path in
_paths
)
95
foreach (string path in
_paths
)


Health Tracking System
My Target
0% Complete
Water target : 0 , Recorded drinks : 0
Set New Target
Drinks History
Add Water


In the future, Earth is slowly becoming uninhabitable. Ex-NASA pilot Cooper, along with a team of researchers, is sent on a planet exploration mission to report which planet can sustain life.
Avatar
Jake, a paraplegic marine, replaces his brother on the Na'vi inhabited Pandora for a corporate mission. He is accepted by the natives as one of their own but he must decide where his loyalties lie.
The Avengers
S.H.I.E.L.D. leader Nick Fury is compelled to launch the 'Avengers Initiative' when Loki poses a threat to planet Earth. Will Nick Fury's squad of superheroes prove themselves equal to the task?
Doctor Strange
While on a journey of physical and spiritual healing, a brilliant neurosurgeon is drawn into the world of the mystic arts.
The Dark Knight
The Joker, a psychopath, terrorises Gotham so he can prove that even the most incorruptible people can become evil. However, Batman, Gordon and Dent stand against him.
Nightcrawler
Lou Bloom wants to set a score with his rival Joe Loder even as he tries to shoot sensational stories of the rich neighbourhood of the city. His quest gets a new direction after he meets Nina Romina.


BMW M2 CS Racing revealed
Thought the M2 CS was mean? Meet its racing cousin, designed for the track.
by Scott Collie- shares
BMW has unveiled a racing cousin to the 2020 M2 CS, wrapping the road car's fundamentals in a race-ready package.
Aimed at the VLN Endurance Championship and TC America racing series, the M2 CS Racing is powered by the same S55 inline-six turbo engine as the road-going model.
Here, however, it only makes between 205kW and 268kW depending on the regulations of each race series.
BMW says owners can tweak the outputs with a 'power stick' to meet Balance of Performance rules, and says it's planning to offer a package that boosts the output to the same 331kW offered in the road car.
It's mated with a seven-speed dual-clutch transmission exclusively, with no mention of a manual option.
Compared to the regular car, the Racing has been outfitted with race-ready 18-inch alloy wheels wrapped in Michelin racing slicks. Behind the wheels are six-piston front and four-piston rear brakes, cooled by larger brake ducts than the standard car.
The aero package has been updated with a deeper front splitter and a motorsport-specific rear wing.
Inside, the standard centre console has been subbed for a race-ready unit with clearer lighting and easier-to-prod buttons, while the instrument binnacle has been replaced with an adjustable steering column and motorsport-specific readout.
Race seats in line with FIA regulations and six-point harnesses are also standard.
1
3
nextprevious
BMW M2 CS Racing revealed


PyCon UK 2015
A brief review
Jonathan Lake-Thomas / @jonlt
What?
- A conference for python users
- Based at Coventry University
- Over 500 delegates - growing in size year on year
- 4 day Event Friday to Monday
One of Many Worldwide...
- "PyCon" in the United States
- "EuroPython" in Europe
- "EuroSciPy" in Europe
- "Kiwi PyCon" in New Zealand
- "PyCon Asia Pacific" in Asia
- "PyCon AR" in Argentina
- "PyCon AU" in Australia
- "PythonBrasil" in Brazil
- "PyCon Canada" in Canada
- "PyCon China" in China
More...
- "PyCon DE" in Germany
- "PyCon ES" in Spain
- "PyCon Finland" in Finland
- "PyCon FR" in France
- "PyCon KR" in Korea
- "PyCon India"
- "PyCon Iran"
- "PyCon Ireland"
- "PyCon Italia" in Italy
- "PyCon Japan"
More...
- "PyCon MY in Malaysia"
- "PyCon Philippines" in the Philippines
- "PyCon PL" in Poland
- "PyCon Russia" in Russia
- "PyCon Singapore" in Singapore
- "PyCon Sweden" in Sweden
- "PyCon Taiwan" in Taiwan
- "PyCon UK" in the United Kingdom
- "PyCon Ukraine" in Ukraine
- "PyCon Uruguay" in Uruguay
- "PyCon Venezuela" in Venezuela
- "PyCon ZA" in South Africa
Separate Tracks
- Django Girls
- TransCode
- Kids Track - Raspberry Pi etc
- Science Track
5 Impossible Things Before Breakfast
"BBC Micro Bit is being given away to every 11- and 12-year-old child in Year 7 or equivalent at school."
A talk by Michael Sparks - BBC R&D
- Prototype
- 3 months to develop hw & sw
- Hardware prototype (built in Kitchen)
- Used Google 'Blockly' js framework to generate Python code
- "Believe in yourself, ask for help, trust others"
Taming a Legacy Codebase with Microservices
- Small Steps
- Consider Value
- Minimise Technology
- Monitor Complexity
http://www.slideshare.net/JohnChandler1/tackling-a-legacy-codebase-with-microservices
Dr Simon Sheridan - Landing on a comet
Responsible for the Ptolemy Instrument on the Philae Lander
Python and PostgreSQL - A wonderful wedding
- Peewee - ORM Library
- MultiCorn - Foreign data wrapper library
- PL/Python - Integrate python with PostgreSQL (is that a good idea?)
https://speakerdeck.com/matrixise/python-and-postgresql-a-wonderful-wedding-english
Workshops
- Django Security Workshop
- Single Board Computer Hackspace
Lightning Talks
Q: How many Germans does it take to change a light bulb?
A: 1
We are efficient, not funny.
Monday Code Sprints
- Python for Science sprint
- Don't be afraid to commit
- Unit test documentation improvements
- Improving the Myrmidon Python game framework
- py.test sprint
- Romaine (BDD tool)
- MicroPython / BBC micro:bit
- Pylint sprint
- Pi In The Sky
- Mailpile sprint
- Hypothesis sprint
- Patch - Scratch in Python
- GPIO Zero
- Pygame Zero
BBC Microbit Hack
- Damien George (MicroPython)
- Nick Tollervey
Coventry Bomb Scare!!
Summary
+ Friendly Conference
+ Good Location
+ It's for EVERYONE
+ Good value, for £165 you get a lot
- Maybe not as many talks relevant to us comapared to 2014


JSON Forms is capable of inferring a UI schema as well as a JSON schema, if given a JSON instance. By default, it will generate a vertical layout for each property of the data instance.
{{vm.formattedData()}}


Lambda and Endpoint Integration
Overview
Now that you have practiced creating several AWS services, it's time to put them together. You are asked to use the node app in your ec2 server and make a request to your endpoint to build a login functionality.
Description
Using the endpoint for your Node App in your server.
Instructions
- Use your node app in your ec2 and extend it's functionality
- You already have the knowledge from your previous lectures to do this
- You are asked to consume the data from your AWS endpoint and build a small login functionality
- You do not need to log out or need bootstrap functionalities.
- Create a route for the login form
- Create a route for login-action where you check against the user's input vs the endpoint.
- Display the outcome. I have given you the template code to use with your app/server.js. All you need to do is to fill-in the blanks.
- Show output and give users a way to correct their errors if there are any. Otherwise show success information.
"use strict"
var express= require("express");
//MISSING LIBRARY CHECK YOUR ERRORS ON THE CONSOLE
var app=express();
var router = express.Router();
const bodyParser = require("body-parser");
app.use(bodyParser.urlencoded({extended : true}));
router.get("/form",function(req,res){
var html =""; // Create your html form here
res.send(html);
})
router.post("/awsdata",function(req,res){
var email = req.body.??; // Complete the missing pieces
var password = req.body.??;// Complete the missing pieces
request("YOUR END POINT URL HERE",{json:true},(err,response,body)=>{
if(err){return console.log(err)};
if(body.Count>0){
//DISPLAY VALID RESPONSE
}else{
//DISPLAY ERROR RESPONSE
}
})
})
app.use("/",router);
app.listen("8080");
Rubric
| Routes are created correctly | 20.00% |
| Request to endpoint exists | 20.00% |
| Request result is handled correctly | 25.00% |
| Response is handled in login logic | 25.00% |
| Delivery 6 Video URL of all submissions2 | 10.00% |
Deliverable
- Create a demo video of all the steps and post it in the text area on FSO Assingment Submission


{# #}
Meow Shop is a full-featured mall, including background management, payment, order viewing, etc.


Returns the descriptions of the reserved nodes.
describe-reserved-nodes
[--reserved-node-id <value>]
[--max-records <value>]
[--marker <value>]
Identifier for the node reservation.
An optional marker returned by a previous describe-reserved-nodes request to indicate the first parameter group that the current request will return.
This example shows a reserved node offering that has been purchased.
Command:
aws redshift describe-reserved-nodes
Result:
{
"ResponseMetadata": {
"RequestId": "bc29ce2e-7600-11e2-9949-4b361e7420b7"
},
"ReservedNodes": [
{
"OfferingType": "Heavy Utilization",
"FixedPrice": "",
"NodeType": "dw.hs1.xlarge",
"ReservedNodeId": "1ba8e2e3-bc01-4d65-b35d-a4a3e931547e",
"UsagePrice": "",
"RecurringCharges": [
{
"RecurringChargeAmount": "",
"RecurringChargeFrequency": "Hourly"
} ],
"NodeCount": 1,
"State": "payment-pending",
"StartTime": "2013-02-13T17:08:39.051Z",
"Duration": 31536000,
"ReservedNodeOfferingId": "ceb6a579-cf4c-4343-be8b-d832c45ab51c"
}
]
}


Themes
Scroll down to view available theme samples, or submit your own theme with the form here.
{% for element in gk_theme_data %} {{element.name}}{% endfor %}
{% extends 'base.html' %} {% load static %} {% block header %} Coding / Gaming / Pop Culture {% endblock %} {% block content %}
Scroll down to view available theme samples, or submit your own theme with the form here.
{% for element in gk_theme_data %} {{element.name}}


by members of NCSU OSGeoREL
Helena Mitasova, Vaclav Petras, Anna Petrasova, Brendan Harmon, Ross K. Meentemeyer, Center for Geospatial Analytics, NCSU
At the Center for Geospatial Analytics at NC State University, we develop innovative software, applications, and educational materials for open source geospatial analytics and GIS with a special focus on environmental modeling, geovisualization, space-time simulations, and multi-temporal LiDAR data analysis. With open source geospatial tools, we investigate environmental assessment and sustainable land management applications, study the dynamics and vulnerability of coastal regions to investigate the impact of land use change on soil erosion and deposition, and identify locations with high solar energy potential. We also explore new techniques for interacting with geospatial data, such as tangible geospatial modeling, which when coupled with GRASS GIS supports collaboration, decision-making, and education. Free and open source software ensures the freedom to use our tools for any purpose, to review and change the underlying algorithms, and to share the tools with the research community and general public.
UCGIS webinar, November 11, 2015


Home
About Us
Sales
Shop
BEAR'S DELIGHTS
Organic, Guilt-Free Salmon Cookies!
New Location
Name:
Minimum Customers:
Maximum Customers:
Average Sale:
Create


While working on this site, the colors were particularly challenging as the client wanted warm colors, but I was able to make them work in the end.
Go To Site


The Description
{{career.description}}
{% extends 'base.html' %}
{% block body %}
{{career}}
{{career.description}}
| Contract Duration | {{career.contract_duration}} | |
|---|---|---|
| Governorate | {{career.governorate}} | |
| Working Hours | {{career.job_type}} | |
| Job Shift | {{career.job_shift}} | |
| Location | {{career.location}} | |
| Posted | {{career.posted|date:'d M o'}} |
| Minimum Education | {{career.minimum_education}} | |
|---|---|---|
| Minimum Experience | {{career.minimum_experience}} | |
| Required Travel | {{career.required_travel}} |
| No Of Jobs | {{career.no_of_jobs}} | |
|---|---|---|
| Published Date | {{career.puplished|date:'d M o'}} | |
| Deadline Date | {{career.deadline|date:'d M o'}} |


Video
View History
$title
$views Views
$likes
$dislikes
$favorites
Channel Name:
$channel
Tags:
$tags
Published on:
$published
Description
$description
$recommendation


!Newbie Guide:
Select the one you seek below. Their location will be indicated on the screen.
[npc_%objectId%_NpcLocationInfo 32150|Hight Prefect Took]
[npc_%objectId%_NpcLocationInfo 32151|Prefect Harz]
[npc_%objectId%_NpcLocationInfo 32152|Seer Henri]
[npc_%objectId%_Link default/NPCloc/32135.htm|Go back to the list.]


| Package | Description |
|---|---|
| gameData | |
| View |
| Modifier and Type | Field and Description |
|---|---|
private ArrayList<Item> |
Player.InActiveItems
private list of items that player bought and didn't use
|
private ArrayList<Item> |
XMLhandler.items
ArrayList which contains all items.
|
static ArrayList<Item> |
DataBase.items
Contains list of Items
|
private ArrayList<Item> |
Shop.Items
private ArrayList of Items which are available in Shop
|
private ArrayList<Item> |
Player.Items
private list of items that player bought
|
| Modifier and Type | Method and Description |
|---|---|
Item |
Shop.getItem(String name)
Searches shop until it finds Item with the same name as parameter and
returns that Item
|
static Item |
DataBase.getItem(String name)
Searches for item with given name.
|
| Modifier and Type | Method and Description |
|---|---|
ArrayList<Item> |
Player.getInActiveItems()
Returns list of Items which haven't been used yet
|
ArrayList<Item> |
Shop.getItems()
Returns ArrayList of Items
|
ArrayList<Item> |
Player.getItems()
Return list of Items
|
ArrayList<Item> |
XMLhandler.loadItems(String path)
Searches given file in order to find Items and saves them in ArrayList.
|
| Modifier and Type | Method and Description |
|---|---|
void |
Shop.AddItem(Item i)
Adds an Item to ArrayList
|
private void |
Player.addItemEffect(Item i)
Adding effects of items to player
|
void |
Player.buyItem(Item item)
Add item to ArrayList of items
|
private void |
Player.removeItemEffect(Item i)
Removing effects of items when duration reaches zero
|
void |
Player.setInActiveItems(Item item)
Adds item from parameter to list of items which haven't been used
|
void |
Player.setItems(Item item)
Adds item from parameter to list of items
|
void |
Player.useItem(Item item)
Activates effects of items.
|
| Modifier and Type | Method and Description |
|---|---|
void |
Player.setInActiveItems(ArrayList<Item> InActiveItems)
Replaces list of items which haven't been used with list from parameter
|
void |
Player.setItems(ArrayList<Item> itemlist)
Replaces list of items with list from parameter
|
| Modifier and Type | Method and Description |
|---|---|
void |
ItemView.setItemList(ArrayList<Item> items)
Cleans JList up and then fills with names of items in ArrayList
|


Resolution:
QVGA@60FPS
VGA@60FPS
HD@30FPS
Full HD@30FPS
Start
Stop
Depth Quality:
Show Depth
Take Photo
Status:


WebGBrowse is essentially a set of Perl CGI scripts which allow the configuration of the various features, derived from the GFF3 file supplied as input, into individual GBrowse tracks for display. The system is data driven powered by a glyph library which comprises of the information regarding the various configurable parameters specific to each of the 42 different Bio::Graphics::Glyph types. This information is stored in the form of hash references serialized into YAML libraries which can be loaded into the HTML::FormEngine to generate the html forms which gather the configuration information from the user. These html forms are powered with java script and DHTML for improved usability and the validations on the user input. The user responses will be saved into YAML files and finally, this collected information is translated into a configuration file which will be copied into the gbrowse.conf folder allowing the GBrowse display.
License:
Copyright The Trustees of Indiana University
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Reference:
Podicheti R., Gollapudi R., Dong Q. (2009). "WebGBrowse--a web server for GBrowse." Bioinformatics 25(12): 1550-1551.
Downloads:
Source Code Download (tar.gz file):
Download and untar the tar.gz file.
wget http://webgbrowse.cgb.indiana.edu/gmod-WebGBrowse.tar.gz
tar -xvf gmod-WebGBrowse.tar.gz
SVN:
You can also do a SVN check out from SourceForge.
svn co https://gmod.svn.sourceforge.net/svnroot/gmod/WebGBrowse WebGBrowse
Installation:
After downloading the source code, follow the instructions from WebGBrowse/INSTALL file.