While following the web minor, I’ve been interested in how to write clean and easy to read code but also the structure itself. I’ll be writing not only about what I’ve read but also about my findings.
- Functional programming
- Make it work..then beautiful and last but not least make it fast
Functional programming
What is functional programming?
Functional programming is a programming paradigm — a style of building the structure and elements of computer programs — that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data — Wikipedia
A couple of concepts for functional programming are:
- Pure functions
- Function composition
- Avoid shared state
- Avoid mutating state
- Avoid side effects
The idea is that every function has it’s own purpose which makes it easier to debug and understand from an outsiders perspective. It’s also supposed to be easier to read.
The two concepts I focused on were, pure functions and the side effects. Pure functions are functions who do just one thing and have no side effects.
Side-effect is any external effect a function has besides its return value — Eric Normand.
This is something I’ve tried to practice within the minor as much as possible, while I can’t say that I’ve mastered it in any way. I do however believe it has helped a lot in order to keep my code clean.
This is an example from a project I made while trying this concept out. It’s based of on an example given by Guido.
Benefits I’ve personally found, there are probably way more benefits, but these are the ones I’ve found.. while trying this concept for the first time
- easy to debug
- clean
- reusable
Make it work..then beautiful and last but not least make it fast - Guido
The first thing you usually do is figure out what the problem is, which you then try to solve. And if you have time left you try to make it better etc.
- work
- beautiful
- fast
This is something that has stuck with me, because it’s something I think we all do to a certain degree but never really think about.
Overall it may not seem like a lot, but every little bit help. And I’m less terrified to read my old code, as a matter of fact I actually worked on the same code from Web app from scratch till Progressive Web App. Which was a lot of fun, because you could see the code grow little by little. And it’s still readable, if I say so myself. Say no to spaghetti code!


Reboots a cluster. This action is taken as soon as possible. It results in a momentary outage to the cluster, during which the cluster status is set to rebooting . A cluster event is created when the reboot is completed. Any pending cluster modifications (see modify-cluster ) are applied at this reboot. For more information about managing clusters, go to Amazon Redshift Clusters in the Amazon Redshift Cluster Management Guide .
See also: AWS API Documentation
reboot-cluster
--cluster-identifier <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
The cluster identifier.
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
This example reboots a cluster. By default, the output is in JSON format.
Command:
aws redshift reboot-cluster --cluster-identifier mycluster
Result:
{
"Cluster": {
"NodeType": "dw.hs1.xlarge",
"Endpoint": {
"Port": 5439,
"Address": "mycluster.coqoarplqhsn.us-east-1.redshift.amazonaws.com"
},
"ClusterVersion": "1.0",
"PubliclyAccessible": "true",
"MasterUsername": "adminuser",
"ClusterParameterGroups": [
{
"ParameterApplyStatus": "in-sync",
"ParameterGroupName": "default.redshift-1.0"
}
],
"ClusterSecurityGroups": [
{
"Status": "active",
"ClusterSecurityGroupName": "default"
}
],
"AllowVersionUpgrade": true,
"VpcSecurityGroups": \[],
"AvailabilityZone": "us-east-1a",
"ClusterCreateTime": "2013-01-22T21:59:29.559Z",
"PreferredMaintenanceWindow": "sun:23:15-mon:03:15",
"AutomatedSnapshotRetentionPeriod": 1,
"ClusterStatus": "rebooting",
"ClusterIdentifier": "mycluster",
"DBName": "dev",
"NumberOfNodes": 2,
"PendingModifiedValues": {}
},
"ResponseMetadata": {
"RequestId": "61c8b564-64e8-11e2-8f7d-3b939af52818"
}
}
Cluster -> (structure)
Describes a cluster.
ClusterIdentifier -> (string)
The unique identifier of the cluster.NodeType -> (string)
The node type for the nodes in the cluster.ClusterStatus -> (string)
The current state of the cluster. Possible values are the following:
- available
- creating
- deleting
- final-snapshot
- hardware-failure
- incompatible-hsm
- incompatible-network
- incompatible-parameters
- incompatible-restore
- modifying
- rebooting
- renaming
- resizing
- rotating-keys
- storage-full
- updating-hsm
ModifyStatus -> (string)
The status of a modify operation, if any, initiated for the cluster.MasterUsername -> (string)
The master user name for the cluster. This name is used to connect to the database that is specified in the DBName parameter.DBName -> (string)
The name of the initial database that was created when the cluster was created. This same name is returned for the life of the cluster. If an initial database was not specified, a database named dev dev was created by default.Endpoint -> (structure)
The connection endpoint.
Address -> (string)
The DNS address of the Cluster.Port -> (integer)
The port that the database engine is listening on.ClusterCreateTime -> (timestamp)
The date and time that the cluster was created.AutomatedSnapshotRetentionPeriod -> (integer)
The number of days that automatic cluster snapshots are retained.ClusterSecurityGroups -> (list)
A list of cluster security group that are associated with the cluster. Each security group is represented by an element that contains ClusterSecurityGroup.Name and ClusterSecurityGroup.Status subelements.
Cluster security groups are used when the cluster is not created in an Amazon Virtual Private Cloud (VPC). Clusters that are created in a VPC use VPC security groups, which are listed by the VpcSecurityGroups parameter.
(structure)
Describes a cluster security group.
ClusterSecurityGroupName -> (string)
The name of the cluster security group.Status -> (string)
The status of the cluster security group.VpcSecurityGroups -> (list)
A list of Amazon Virtual Private Cloud (Amazon VPC) security groups that are associated with the cluster. This parameter is returned only if the cluster is in a VPC.
(structure)
Describes the members of a VPC security group.
VpcSecurityGroupId -> (string)
The identifier of the VPC security group.Status -> (string)
The status of the VPC security group.ClusterParameterGroups -> (list)
The list of cluster parameter groups that are associated with this cluster. Each parameter group in the list is returned with its status.
(structure)
Describes the status of a parameter group.
ParameterGroupName -> (string)
The name of the cluster parameter group.ParameterApplyStatus -> (string)
The status of parameter updates.ClusterParameterStatusList -> (list)
The list of parameter statuses.
For more information about parameters and parameter groups, go to Amazon Redshift Parameter Groups in the Amazon Redshift Cluster Management Guide .
(structure)
Describes the status of a parameter group.
ParameterName -> (string)
The name of the parameter.ParameterApplyStatus -> (string)
The status of the parameter that indicates whether the parameter is in sync with the database, waiting for a cluster reboot, or encountered an error when being applied.
The following are possible statuses and descriptions.
- in-sync : The parameter value is in sync with the database.
- pending-reboot : The parameter value will be applied after the cluster reboots.
- applying : The parameter value is being applied to the database.
- invalid-parameter : Cannot apply the parameter value because it has an invalid value or syntax.
- apply-deferred : The parameter contains static property changes. The changes are deferred until the cluster reboots.
- apply-error : Cannot connect to the cluster. The parameter change will be applied after the cluster reboots.
- unknown-error : Cannot apply the parameter change right now. The change will be applied after the cluster reboots.
ParameterApplyErrorDescription -> (string)
The error that prevented the parameter from being applied to the database.ClusterSubnetGroupName -> (string)
The name of the subnet group that is associated with the cluster. This parameter is valid only when the cluster is in a VPC.VpcId -> (string)
The identifier of the VPC the cluster is in, if the cluster is in a VPC.AvailabilityZone -> (string)
The name of the Availability Zone in which the cluster is located.PreferredMaintenanceWindow -> (string)
The weekly time range, in Universal Coordinated Time (UTC), during which system maintenance can occur.PendingModifiedValues -> (structure)
A value that, if present, indicates that changes to the cluster are pending. Specific pending changes are identified by subelements.
MasterUserPassword -> (string)
The pending or in-progress change of the master user password for the cluster.NodeType -> (string)
The pending or in-progress change of the cluster's node type.NumberOfNodes -> (integer)
The pending or in-progress change of the number of nodes in the cluster.ClusterType -> (string)
The pending or in-progress change of the cluster type.ClusterVersion -> (string)
The pending or in-progress change of the service version.AutomatedSnapshotRetentionPeriod -> (integer)
The pending or in-progress change of the automated snapshot retention period.ClusterIdentifier -> (string)
The pending or in-progress change of the new identifier for the cluster.PubliclyAccessible -> (boolean)
The pending or in-progress change of the ability to connect to the cluster from the public network.EnhancedVpcRouting -> (boolean)
An option that specifies whether to create the cluster with enhanced VPC routing enabled. To create a cluster that uses enhanced VPC routing, the cluster must be in a VPC. For more information, see Enhanced VPC Routing in the Amazon Redshift Cluster Management Guide.
If this option is true , enhanced VPC routing is enabled.
Default: false
ClusterVersion -> (string)
The version ID of the Amazon Redshift engine that is running on the cluster.AllowVersionUpgrade -> (boolean)
A Boolean value that, if true , indicates that major version upgrades will be applied automatically to the cluster during the maintenance window.NumberOfNodes -> (integer)
The number of compute nodes in the cluster.PubliclyAccessible -> (boolean)
A Boolean value that, if true , indicates that the cluster can be accessed from a public network.Encrypted -> (boolean)
A Boolean value that, if true , indicates that data in the cluster is encrypted at rest.RestoreStatus -> (structure)
A value that describes the status of a cluster restore action. This parameter returns null if the cluster was not created by restoring a snapshot.
Status -> (string)
The status of the restore action. Returns starting, restoring, completed, or failed.CurrentRestoreRateInMegaBytesPerSecond -> (double)
The number of megabytes per second being transferred from the backup storage. Returns the average rate for a completed backup.SnapshotSizeInMegaBytes -> (long)
The size of the set of snapshot data used to restore the cluster.ProgressInMegaBytes -> (long)
The number of megabytes that have been transferred from snapshot storage.ElapsedTimeInSeconds -> (long)
The amount of time an in-progress restore has been running, or the amount of time it took a completed restore to finish.EstimatedTimeToCompletionInSeconds -> (long)
The estimate of the time remaining before the restore will complete. Returns 0 for a completed restore.HsmStatus -> (structure)
A value that reports whether the Amazon Redshift cluster has finished applying any hardware security module (HSM) settings changes specified in a modify cluster command.
Values: active, applying
HsmClientCertificateIdentifier -> (string)
Specifies the name of the HSM client certificate the Amazon Redshift cluster uses to retrieve the data encryption keys stored in an HSM.HsmConfigurationIdentifier -> (string)
Specifies the name of the HSM configuration that contains the information the Amazon Redshift cluster can use to retrieve and store keys in an HSM.Status -> (string)
Reports whether the Amazon Redshift cluster has finished applying any HSM settings changes specified in a modify cluster command.
Values: active, applying
ClusterSnapshotCopyStatus -> (structure)
A value that returns the destination region and retention period that are configured for cross-region snapshot copy.
DestinationRegion -> (string)
The destination region that snapshots are automatically copied to when cross-region snapshot copy is enabled.RetentionPeriod -> (long)
The number of days that automated snapshots are retained in the destination region after they are copied from a source region.SnapshotCopyGrantName -> (string)
The name of the snapshot copy grant.ClusterPublicKey -> (string)
The public key for the cluster.ClusterNodes -> (list)
The nodes in the cluster.
(structure)
The identifier of a node in a cluster.
NodeRole -> (string)
Whether the node is a leader node or a compute node.PrivateIPAddress -> (string)
The private IP address of a node within a cluster.PublicIPAddress -> (string)
The public IP address of a node within a cluster.ElasticIpStatus -> (structure)
The status of the elastic IP (EIP) address.
ElasticIp -> (string)
The elastic IP (EIP) address for the cluster.Status -> (string)
The status of the elastic IP (EIP) address.ClusterRevisionNumber -> (string)
The specific revision number of the database in the cluster.Tags -> (list)
The list of tags for the cluster.
(structure)
A tag consisting of a name/value pair for a resource.
Key -> (string)
The key, or name, for the resource tag.Value -> (string)
The value for the resource tag.KmsKeyId -> (string)
The AWS Key Management Service (AWS KMS) key ID of the encryption key used to encrypt data in the cluster.EnhancedVpcRouting -> (boolean)
An option that specifies whether to create the cluster with enhanced VPC routing enabled. To create a cluster that uses enhanced VPC routing, the cluster must be in a VPC. For more information, see Enhanced VPC Routing in the Amazon Redshift Cluster Management Guide.
If this option is true , enhanced VPC routing is enabled.
Default: false
IamRoles -> (list)
A list of AWS Identity and Access Management (IAM) roles that can be used by the cluster to access other AWS services.
(structure)
An AWS Identity and Access Management (IAM) role that can be used by the associated Amazon Redshift cluster to access other AWS services.
IamRoleArn -> (string)
The Amazon Resource Name (ARN) of the IAM role, for example, arn:aws:iam::123456789012:role/RedshiftCopyUnload .ApplyStatus -> (string)
A value that describes the status of the IAM role's association with an Amazon Redshift cluster.
The following are possible statuses and descriptions.
- in-sync : The role is available for use by the cluster.
- adding : The role is in the process of being associated with the cluster.
- removing : The role is in the process of being disassociated with the cluster.


Active ingredient (in each chewable tablet)
Cetirizine hydrochloride, USP 10 mg
Uses
temporarily relieves these symptoms due to hay fever or other upper respiratory allergies:
- runny nose
- sneezing
- itchy, watery eyes
- itching of the nose or throat
Do not use
if you have ever had an allergic reaction to this product or any of its ingredients or to an antihistamine containing hydroxyzine.
Ask a doctor before use if you have
liver or kidney disease. Your doctor should determine if you need a different dose.
Ask a doctor or pharmacist before use if
you are taking tranquilizers or sedatives.
When using this product
- drowsiness may occur
- avoid alcoholic drinks
- alcohol, sedatives, and tranquilizers may increase drowsiness
- be careful when driving a motor vehicle or operating machinery
Stop use and ask a doctor if
an allergic reaction to this product occurs. Seek medical help right away.
If pregnant or breast-feeding:
- if breast-feeding: not recommended
- if pregnant: ask a health professional before use.
Keep out of reach of children
In case of overdose, get medical help or contact a Poison Control Center right away. (1-800-222-1222)
Directions
- may be taken with or without water
adults and children 6 years and over
|
one 10 mg tablet once daily; do not take more than one 10 mg tablet in 24 hours. A 5 mg product may be appropriate for less severe symptoms.
|
adults 65 years and over
|
ask a doctor
|
children under 6 years of age
|
ask a doctor
|
consumers with liver or kidney disease
|
ask a doctor
|
Other information
- store between 20° to 25°C (68° to 77°F)
- do not use if inner safety seal is open or torn
- see top layer for lot number and expiration date
Inactive ingredients
acesulfame potassium, colloidal silicon dioxide, compressible sugar, crospovidone, FD & C Blue No # 2 Aluminum Lake, FD & C Red No # 40 Aluminum Lake, guar gum, magnesium oxide light powder, magnesium stearate, mannitol, microcrystalline cellulose, pregelatinized starch, prosweet N & A flavor powder, talc, tutti frutti flavor
Questions?
Call toll free 1-800-818-4555 weekdays
Principal Display Panel
NDC 68016-353-30
Original Prescription Strength
Children's
Cetirizine Hydrochloride
CHEWABLE TABLETS
10 mg
ALLERGY
Antihistamine
Indoor & Outdoor Allergies
Tutti-frutti Flavor
6 yrs & older
30 CHEWABLE TABLETS


PyPDS v0.1 documentation
Contents:
reader.py
Created by Ryan Matthew Balfanz on 2009-05-20.
Copyright (c) 2009 Ryan Matthew Balfanz. All rights reserved.
Read a PDS formatted file into meaningful (key, value) pairs.
Instances are reusable; multiple files may by read consecutively.
A key is denoted by a token immediately before a ‘=’ character and a value by joining of all tokens preceding the next key. While reading the file, extraneous whitespace as well as comments are discarded. More importantly, records spanning more than one physical line are flattened.
Currently, there are several assertions in place to try and find bugs and poorly formatted files. As usual, when an assertion fails an AssertionError is raised. This type of behavior may not be desired or expected, since it will halt execution, especially when addressing multiple files in a production environment.
Future versions may do away with assertions altogether and utilize the logging facility. Logging is not very mature at this stage, but usable. In might be convenient to also return metadata about each (key, value) pair such as the linenumber(s) associated with it. This would make mean not discarding whitespace and comments.
Notes: See http://personalpages.tds.net/~kent37/kk/00004.html. Maybe?
Simple Usage Example
>>> from reader import Reader
>>> # Notice that the Reader instance is reused to process multiple files
>>> pdsreader = Reader()
>>> for f in ['pds1.lbl', 'pds2.lbl']:
>>> # Loop over all records and process each in turn
>>> for record in pdsreader.read(open(f, 'rb')):
>>> process(record)
>>> # Using a list comprehension to consume and store all records
>>> records = [record for record in pdsreader.read(open('pdsFile.lbl', 'rb')]
>>> process(records)
Return the next record.
This method is a generator i.e. it yields values and preserves state. Keep in mind that this method reads the entire file contents at once the first time it is called. Additionally, after the file has been read, all comments and blank lines are stripped. This preprocessing occurs before any result is returned. After the first yield, subsequent calls may be markedly faster due to its generator nature.


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Price: $ 300.00
Conversation Set with Coffee Table (Black)
Subtotal: $ 2300.00
Tax: --
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Modern Waves Large Leather Sectional Sofa With Love Seats And Chaise Lounge
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SAVING PRIVATE RYAN Reviewed by Jamie Peck
While the wrenching intro is going to shock some of the more unassuming audience members into sudden hysteria, it at least instantly announces "Saving Private Ryan"'s agenda -- war isn't pretty, and Spielberg doesn't waste any time pretending it is. Still, as extremely difficult as the combat is to watch, it's just as hard to divert your concentration, thus desensitizing viewers to the alarming horrors we will witness during the next two-and-a-half hours. The movie demolishes the fine line between observing and participating without any kind of preparation or warning; the only way to capture the realism of violent battle is to drop you right in the center of it, and this amazing film unapologetically does just that. For those of us who have never experienced firsthand warfare, "Saving Private Ryan" is very likely the closest that we'll ever get.
Part of the afore-mentioned D-Day attack is overseen by Captain John Miller (Tom Hanks), a quiet, resourceful man whose heroism only distances him from the serene life he lead before enlisting -- "With every man I kill, the farther away from home I feel," he says. Though Miller's forces are victorious at Normandy, their triumph does not come without a staggering human cost. Among the lives lost at Omaha Beach are two brothers, a third sibling of whom has also fallen, leaving a fourth who might still be alive somewhere deep in French territory. When the government learns that the boys' mother will be receiving a trio of death notices on the same day, they assign Miller to lead seven soldiers on a mission even more dangerous than what they have previously faced -- to travel behind enemy lines and retrieve the remaining sibling, one Private James Ryan, at any cost. But tragedy begets tragedy, and Miller's team questions the significance of risking their collective necks just to rescue a single person that might already be dead.
While it's perhaps unfair to compare "Saving Private Ryan" to a movie like, say, "Armageddon," the association does in fact reveal a large part of what's missing in film today -- genuine characters and stories that make you care. While Armageddon's cast is composed of ciphers, some of whom are killed off for obligation's sake, "Saving Private Ryan" boasts a canvas of thoughtful, substantive individuals. When death is portrayed here, you feel deep heartache and sorrow, not some sort of manufactured sadness. Not surprisingly, Spielberg and screenwriter Robert Rodat ("Fly Away Home") never stoop to exploitation or manipulation when they portray the casualties of war, and the result is an intensely exhilarating experience unlike anything you've seen since "Schindler's List." That connection isn't just being made because Spielberg directed "Schindler" -- these films are arguably the two most important motion pictures of this decade.
Tom Hanks' performance is more moving than his Oscar-winning turns in "Philadelphia" and "Forrest Gump" put together, and that's quite a feat considering that John Miller isn't a very flashy role. But Hanks installs emotional dignity in Miller's calm, commanding presence; when he finally breaks down after an especially traumatic episode, you will too. With a few exceptions like Tom Sizemore (as Hanks' devoted sergeant) and Matt Damon (who shows up late in the game), the fine ensemble is made up of mostly-unknown young actors. Giovanni Ribisi, a recurring guest star on "Friends" (playing Lisa Kudrow's daffy brother), provides the film with one of its most affecting moments, while Barry Pepper is striking as an excellent marksman who prays as he picks off enemies. Jeremy Davies ("Spanking the Monkey") is the best of the bunch; perfectly cast as a timid, violence-shy soldier recruited in the operation for his linguist skills, he makes a powerful foil for the audience. Also strong are Adam Goldberg, Vin Diesel and Edward Burns, the multi-talented guy behind "The Brothers McMullen" and "She's the One."
With "Saving Private Ryan," Steven Spielberg has fashioned another monumental tale about humanity and self-sacrifice among the horrors of war. He's done the unthinkable, really, since this work is every bit as profound as "Schindler," his uncontended masterpiece. If anyone criticizes "Saving Private Ryan" as being "too violent," then they've sadly missed the anti-war point. Even the quiet, meditative moments boil with the threat of spontaneous carnage, all to create a film that transcends its medium --thanks to Spielberg's potently graphic depictions of historical bloodshed and Janusz Kaminski's gritty, you-are-there cinematography, you don't just watch this movie, you live it. A guaranteed lock on 1998 top tens, updated American Film Institute lists and Oscar ballots next March -- yes, it's that unforgettable -- "Saving Private Ryan" is, in a word, phenomenal.
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--- layout: default title: Assignments ---
| Assignment | Due | Links | |
|---|---|---|---|
| 0 | Submit your first quantitative graphic on Flickr! | Instructions: How to Upload Your "Graphic" to Flickr | |
| 1 | Project Set 1 | February 20, 12PM | John Snow's Data |
| 2 | Project Set 2 | March 10, 11:59PM | Temperature reconstructions data |
| 3 | Project Set 3 | April 8, 11:59PM | takeasweater.com |
| 4 | Project Set 4, Part I | April 4, 11:59PM | Google Tracking Sheet |
| 4 | Project Set 4, Part II | April 22, 1PM | Google Tracking Sheet |


HEAD
Sheetsee.js is a client-side library for connecting Google Spreadsheets to a website and visualizing the information in tables and maps.
Google Spreadsheets can be used as simple and collaborative databases, they make getting a data driven site going much easier than traditional databases. Read more about using spreadsheets for databases.
Each of Sheetsee's functions are divided into modules. Use just the parts you need; see docs on building. If you don't want to build your own, you can just use the full library which includes all modules, it's here on GitHub.
| Module | Contains | Docs |
|---|---|---|
| sheetsee | Command line module for make a custom build of Sheetsee. | Doc |
| sheetsee-core | Included in all builds. Has helpful working-with-your-data functions. | Doc |
| sheetsee-tables | Contains everything you'll need to create a table including sortable columns, pagination and search. | Doc |
| sheetsee-maps | For making maps with your point, line or polygon spreadsheet data. Built with Leaflet.js. | Doc |
The spreadsheet.glitch.me site will give you an endpoint to use that will return your spreadsheet to you as JSON. The sheetsee.glitch.me site provides template to get started with Sheetsee; it's already set up with a server so that your data is backed up.
There are site templates hooked up to Sheetsee that are ready to be forked on GitHub and used by you, check out the Fork-n-go site.
Sheetsee has just been re-written and there are some breaking changes. Also some nice ones, like dependencies removed. The API for maps with Sheetsee have changed, see the docs.
More resources on using Sheetsee:
| Getting Started | Ideas | Demos | Use |
|---|---|---|---|
| About Sheetsee | Templates | Table Demo | Sheetsee-core |
| Building Sheetsee | Tips! | Map Demo | Sheetsee-tables |
| Basics | Sheetsee-maps |
Sheetsee.js is a JavaScript library, or box of goodies, if you will, that makes it easy to use a Google Spreadsheet as the database feeding the tables, charts and maps on a website. Once set up, any changes to the spreadsheet will be auto-saved by Google and be live on your site when a visitor refreshes the page.
Using Google Spreadsheets as the backend database is awesome because it is easy to use, share and collaborate with.
To use sheetsee.js you'll definitely need to know HTML, CSS and know JavaScript or be not afraid of it and just type what these docs tell you to type. Also, see JavaScript for Cats, Eloquent JavaScript or Mozilla's Developer Network.
Sheetsee.js depends on a few other awesome JavaScript libraries to make all this happen. First, Tabletop.js gets the data from the Google Spreadsheet and makes it nice. Once you have your data Sheetsee.js makes it easy to set up tables or templates with IChanHas.js (built on mustache.js), maps with Mapbox.js, and charts with d3.js. And jQuery of course powers most of the interactions. It also has many sorting and filtering functions built in so that you can display different parts of your data if you want. Each of these are explained in more detail below.
Sheetsee.js comes with a bare minimum stylesheet.
Sheetsee.js comes in two flavors, client-side (this repo) and server-side (sheetsee-cache). The client-side is the most approachable and straightforward, you just include sheetsee.js and the dependencies on your page and use sheetsee.js as normal.
The server-side version is built with Node.js and you'll need to understand Node and be publishing to a server that runs Node.js apps. This version saves the data on the server so that the browser doesn't have to fetch from Google at every request, which can sometimes be slow. You can set when the cache expires. It also allows for offline development, huzzah!

in your HTML for any chart, map or table you want to have.

<link href='http://api.tiles.mapbox.com/mapbox.js/v1.0.0/mapbox.css' rel='stylesheet' />

This bit is the same for both client-side and server-side versions.
Your Google Spreadsheet should be set up with row one as your column headers. Row two and beyond should be your data. Each header and row becomes an oject in the final array that Tabletop.js delivers of your data.
There shouldn't be any breaks or horizontal organization in the spreadsheet. But, feel free to format the style of your spreadsheet as you wish; borders, fonts and colors and such do not transfer or affect your data exporting.
[{"name":"Coco","breed":"Teacup Maltese","kind":"Dog","cuddlability":"5","lat":"37.74832","long":"-122.402158","picurl":"http://distilleryimage8.s3.amazonaws.com/98580826813011e2bbe622000a9f1270_7.jpg","hexcolor":"#ECECEC","rowNumber":1}...]
You must add a column to your spreadsheet with the heading hexcolor (case insensitive). The maps, charts and such use colors and this is the easiest way to standardize that. The color scheme is up to you, all you need to do is fill the column with hexidecimal color values. This color picker by Devin Hunt is really nice. #Funtip: Coloring the background of the cell it's hexcolor brings delight!
If you intend to map your data and only have addresses you'll need to geocode the addresses into lat/long coordinates. Mapbox built a plugin that does this for you in Google Docs. You can also use websites like latlong.net to get the coordinates and paste them into rows with column headers lat and long.
You need to do this in order to generate a unique key for your spreadsheet, which Tabletop.js will use to get your spreadsheet data. In your Google Spreadsheet, click File > Publish to the Web. Then in the next window click Start Publishing; it will then turn into a Stop Publishing button.
You should have an address in a box at the bottom, your key is the portion between the = and the &. You'll retrieve this later when you hook up your site to the spreadsheet.
Before you get started with Sheetsee.js you should plan out your website. Design it, create the basic markup and stylesheet.
For now, create empty div
placeholders for the map, chart and tables you plan on including.
Here the paths diverge:
For client-siders, all you need to do is include the depences and sheetsee in your HTML
and then in a script tag at the bottom of your page, right before the
tag, you'll include this:

The URL variable is the key from your spreadsheet's longer URL, explained above. Tabletop.init()
takes that URL and execute's Tabletop, when it's done generating the table it executes the callback showInfo
function. It's inside of this function that you'll then use your spreadsheet data, gData, to do all the Sheetsee.js goodness with.
The server-side version is in the repo sheetsee-cache. It uses Node.js to go to Google, get the spreadsheet data (with a Node.js version of Tabletop.js, thanks Max Ogden!) and save it on the server. This means every user that visits the page doesn't have to wait on Google's response to load the charts from the data.
When the server builds your page, it will build in your data as the variable gData. All you need to do is add your scripts to the bottom of the page. For the tables/templating you'll need to wrap them in an event listener so that it doesn't try and build them before the data has settled.

You can run this locally and it will check your internet connection - if you're not online it will use the last saved data allowing you to develop offline, yay!
Once you clone the repo, navigate there in Terminal, install the node modules and launch the server.
cd sheetsee-cache
npm install
node server.js
This will launch a local server you can visit and develop locally with in your browser.
Tabletop.js will return all of your data and it will be passed into your site as an array of objects called gData. Sheetsee.js has functions built in to help you filter or use that data in other ways if you'd like.
This page is using sheetsee. If you (are in Chrome and) right click on the page and select Inspect Element it will bring up the Web Inspector. Select the Console tab. Now you can interact with the data and functions from Sheetsee. Give the functions below a try - gData is the variable with the data (from this spreadsheet).
This takes in your data, an array of objects, and searches for a string, keyword, in each piece of your data (formerly the cells of your spreadsheet). It returns an array of each row that contained a keyword match. Similarly, using `getKeywordCount(data, keyword)` will return just the number of times the keyword occured.
getKeyword(gData, "cat")
// returns [{breed: "Fat", kind: "cat", hexcolor: "#CDCF83"...}, {breed: "Grey", kind: "cat", hexcolor: "#9C9B9A"...}, {breed: "Creepy", kind: "cat", hexcolor: "#918376"...}]
Given your data, an array of objects and a string column header, this functions sums each cell in that column, so they best be numbers.
getColumnTotal(gData, "cuddlability")
// returns 11
A really simple function that builds on getColumnTotal()
by returning the average number in a column of numbers.
getColumnAverage(gData, "cuddlability")
// returns 1.8333333333333333
This will return an array of object or objects (if there is a tie) of the element with the lowest number value in the column you specify from your data.
getMin(gData, "cuddlability")
// returns [{breed: "Fat", cuddlability: "0", hexcolor: "#CDCF83"...}, {breed: "Grey", cuddlability: "0", hexcolor: "#9C9B9A"...}, {breed: "Creepy", cuddlability: "0", hexcolor: "#918376"...}]
This will return an array of object or objects (if there is a tie) of the element with the highest number value in the column you specify from your data.
getMax(gData, "cuddlability")
// returns {breed: "Teacup Maltese", cuddlability: "5", hexcolor: "#ECECEC", kind: "Dog", lat: "37.74832", long: "-122.402158", name: "Coco"...}
Create variables that are the sums, differences, multiples and so forth of others. Lots of info on that here on MDN.
var profit09 = Sheetsee.getColumnTotal(gData, "2009")
var profit10 = Sheetsee.getColumnTotal(gData, "2010")
var difference = profit09 - profit10
You don't have to just create tables of your data. You can have other portions of your page that show things like, "The difference taco consumption between last week and this week is..." These are easy to create with javascirpt math functions and knowing a little bit more about icanhas.js. View source on this page to see how I created "Most Cuddlable".
Takes data as an array of objects, a string you'd like to filter and a string of the category you want it to look in (a column header from your spreadsheet).
getMatches(gData, "dog", "kind")
Returns an array of objects matching the category's filter.
[{"name": "coco", "kind": "dog"...}, {"name": "wolfgang", "kind": "dog"...},{"name": "cooc", "kind": "dog"...} ]
Takes data as an array of objects and a string for category (a column header from your spreadsheet) you want tally how often an element occured.
getOccurance(gData, "kind")
Returns an object with keys and values for each variation of the category and its occurance.
{"dog": 3, "cat": 3}
If you use getOccurance()
and want to then chart that data with d3.js, you'll need to make it into an array (instead of an object) and add colors back in (since the hexcolor column applies to the datapoints in your original dataset and not this new dataset).
This function takes in your data, as an object, an array of hexidecimal color strings which you define and the category you used in getOccurance()
.
var kinds = getOccurance(gData, "kind")
var kindColors = ["#ff00ff", "#DCF13C"]
var kindData = makeColorArrayOfObjects(mostPopBreeds, kindColors, "kind")
It will return an array of objects with units as the title of the occurance amount like so:
[{"kind": "dog", "units": 2, "hexcolor": "#ff00ff"}, {"kind": "cat", "units": 3, "hexcolor": "#DCF13C"}]
If you pass in an array of just one color it will repeat that color for all items. If you pass fewer colors than data elements it will repeat the sequences of colors for the remainder elements.
Sheetsee.js uses Mapbox.js, a Leaflet.js plugin, to make maps.
Create an empty

in your HTML, with an id.

Next you'll need to create geoJSON out of your data so that it can be mapped.
This takes in your data and the parts of your data, optionsJSON, that you plan in your map's popups. If you're not going to have popups on your markers, don't worry about it then and just pass in your data.
var optionsJSON = ["name", "breed", "cuddlability"]
var geoJSON = Sheetsee.createGeoJSON(gData, optionsJSON)
It will return an array in the special geoJSON format that map making things love.
[{
"geometry": {"type": "Point", "coordinates": [long, lat]},
"properties": {
"marker-size": "small",
"marker-color": lineItem.hexcolor
},
"opts": {the options you pass in},
}}
To create a simple map, with no data, you simply call `.loadMap() and pass in a string of the mapDiv (with no #) from your HTML.
var map = Sheetsee.loadMap("map")
To add a tile layer, aka a custom map scheme/design/background, you'll use this function which takes in your map and the source of the tileLayer. This source can be a Mapbox id, a URL to a TileJSON or your own generated TileJSON. See Mapbox's Documentation for more information.
Sheetsee.addTileLayer(map, 'examples.map-20v6611k')
You can add tiles from awesome mapmakers like Stamen or create your own in Mapbox's Tilemill or online.
To add makers to your map, use this function and pass in your geoJSON so that it can get the coordinates, your map so that it places the markers there and a zoom level.
var markerLayer = Sheetsee.addMarkerLayer(geoJSON, map, 11)
To customize the marker popup content in your map use this function and pass in your map and markerLayer.
Sheetsee.addPopups(map, markerLayer)
To customize the marker popup content in your map you'll need to use this entire function on your website.
function addPopups(map, markerLayer) {
markerLayer.on('click', function(e) {
var feature = e.layer.feature
var popupContent = '
' + feature.opts.name + '
' +
'
' + feature.opts.breed + '
'
e.layer.bindPopup(popupContent,{closeButton: false,})
})
}
You will edit the popupContent variable however you'd like your popups to look. To reference the data you sent to you geoJSON you'll use feature.opts
and then one of the column headers you passed into createGeoJSON().
Sheetsee.js supports making multiple tables or templates with IcanHas.js. The tables can have multiple inputs for searches and table headers can be used to sort the data in that column. For each of these you'll need a

in your html, a

To create another table, simply repeat the steps with the corresponding data and divs.

Learn more about the things you can do with mustache.js.
You'll call this to make a table out of a data and tell it what targetDiv in the html to render it in (this should also be the same id as your script template id).
Sheetsee.makeTable(gData, "#siteTable")
If you want to have an input to allow users to search/filter the data in the table, you'll add this to your html:
<input id="tableFilter" type="text" placeholder="filter by.."></input>
Clear
no matches
You will then call this function to make that input live:
Sheetsee.initiateTableFilter(gData, "#TableFilter", "#siteTable")
Sheetsee.js comes with a d3.js bar, pie and line chart. Each requires your data be an array of objects, formatted to contain "label" and "units" keys. See the section above on Your Data to learn about formatting.
You'll have to experiement with the charts to find the correct size your

will need to be to hold the chart with your data in it nicely.
You can also make your own d3 chart in a separate .js file, link to that and pass your data on to it. I'd love to see people building some other charts that will work with Sheetsee.
To create a bar chart you'll need to add a placeholder

in your HTML with an id.

In your CSS, give it dimensions.
#barChart {height: 400px; max-width: 600px; background: #F8CDCD;}
In a


{% extends "base_generic.html" %} {% load bootstrap3 %} {% block content %}
Are you sure you want to delete the Answer: {{ answer }}?


Depending on the context of the discussion in the Angular documentation, the term model can refer to either a single object representing one entity (for example, a model called "phones" with its value being an array of phones) or the entire data model for the application (all entities).
In Angular, a model is any data that is reachable as a property of an angular Scope object. The name of the property is the model identifier and the value is any JavaScript object (including arrays and primitives).
The only requirement for a JavaScript object to be a model in Angular is that the object must be referenced by an Angular scope as a property of that scope object. This property reference can be created explicitly or implicitly.
You can create models by explicitly creating scope properties referencing JavaScript objects in the following ways:
Make a direct property assignment to the scope object in JavaScript code; this most commonly occurs in controllers:
function MyCtrl($scope) {
// create property 'foo' on the MyCtrl's scope
// and assign it an initial value 'bar'
$scope.foo = 'bar';
}
Use an angular expression with an assignment operator in templates:
<button ng-click="{{foo='bar'}}">Click me</button>
Use ngInit directive
in templates (for toy/example apps
only, not recommended for real applications):

Angular creates models implicitly (by creating a scope property and assigning it a suitable value) when processing the following template constructs:
Form input, select, textarea and other form elements:
<input ng-model="query" value="fluffy cloud">
The code above creates a model called "query" on the current scope with the value set to "fluffy cloud".
An iterator declaration in ngRepeater
:

The code above creates one child scope for each item in the "phones" array and creates a "phone" object (model) on each of these scopes with its value set to the value of "phone" in the array.
In Angular, a JavaScript object stops being a model when:
No Angular scope contains a property that references the object.
All Angular scopes that contain a property referencing the object become stale and eligible for garbage collection.
The following illustration shows a simple data model created implicitly from a simple template:


| Warning No. 01 | [issued on 30 June 2018] |
| Warning No. 01 | [issued on 30 June 2018] |
| Warning No. 25 | [issued on 19 June 2018] |
| Advisory No. 24 | [issued on 19 June 2018] |
| Update No. 24 | [issued on 19 June 2018] |
| Advisory No. 23 | [issued on 18 June 2018] |
| Update No. 23 | [issued on 18 June 2018] |
| Advisory No. 22 | [issued on 18 June 2018] |
| Update No. 22 | [issued on 18 June 2018] |
| Advisory No. 20 | [issued on 17 June 2018] |
| Update No. 20 | [issued on 17 June 2018] |
| Advisory No. 19 | [issued on 16 June 2018] |
| Update No. 19 | [issued on 16 June 2018] |
| Advisory No. 18 | [issued on 16 June 2018] |
| Update No. 18 | [issued on 16 June 2018] |
| Advisory No. 17 | [issued on 15 June 2018] |
| Update No. 17 | [issued on 15 June 2018] |
| Update No. 16 | [issued on 15 June 2018] |
| Update No. 15 | [issued on 14 June 2018] |
| Advisory No. 14 | [issued on 14 June 2018] |
| Update No. 14 | [issued on 14 June 2018] |
| Advisory No. 13 | [issued on 13 June 2018] |
| Update No. 13 | [issued on 13 June 2018] |
| Update No. 11 | [issued on 12 June 2018] |
| Update No. 10 | [issued on 12 June 2018] |
| Update No. 10 | [issued on 12 June 2018] |
| Advisory No. 09 | [issued on 11 June 2018] |
| Update No. 09 | [issued on 11 June 2018] |
| Advisory No. 08 | [issued on 11 June 2018] |
| Update No. 08 | [issued on 11 June 2018] |


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React-Ace example
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Use md-autocomplete to search for matches from local or remote data sources.
md-autocomplete
By default, md-autocomplete will cache results when performing a query. After the initial call is performed, it will use the cached results to eliminate unnecessary server requests or lookup logic. This can be disabled above.


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12-Oct-18 12:57 PM
[dscrdeql] <NWhiskeyTango> Look at pinned messages
[dscrdeql] <CowboyCrypto- Founder> What pinned messages
[dscrdeql] <CowboyCrypto- Founder> I’m on my phone
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[dscrdeql] <NWhiskeyTango> #eqli-memes
[dscrdeql] <NWhiskeyTango> Gm lol
[dscrdeql] <NWhiskeyTango> Sorry, cant share pics in this channel
42 votes and 42 comments so far on Reddit
[dscrdeql] <PigBenis> Goodmorning
[dscrdeql] <PigBenis> anyone else having problems with binance exchange loading?
[dscrdeql] <NWhiskeyTango> @CowboyCrypto can you erase the pin
[dscrdeql] <NWhiskeyTango> That was wierd to pin, ty
[dscrdeql] <NWhiskeyTango> Voted
[dscrdeql] <AndronicusBass-Founder> We are part of Komodo platform. More awareness for komodo is more awareness for us.
[dscrdeql] <AndronicusBass-Founder> I can pin what I like thank you very much
[dscrdeql] <AndronicusBass-Founder> Some awesome info graphics I have to say
[dscrdeql] <javadth> eqli will separate of kmd ?
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[dscrdeql] <AndronicusBass-Founder> Advanced wallet, best Ive ever used
[dscrdeql] <javadth> agma ?
[dscrdeql] <CowboyCrypto- Founder> We are an assetchain of Komodo, meaning we are built on their code, or forked from kmd. We are independent of KMD though as we have our own independent blockchain


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""" This module introduces tools for execution of jobs in parallel.
Per default, joblib is used for easy and efficient execution of parallel tasks.
However, joblib does not support GPU management, and does not kill processes
at the end of each task, thus keeping in GPU memory the pytorch execution
context.
This module introduces equivalent tools for multiprocessing while
avoiding GPU memory leak. This tool provides functions that make use
GPUs: otherwise, joblib is called.
.. MIT License
..
.. Copyright (c) 2018 Diviyan Kalainathan
..
.. Permission is hereby granted, free of charge, to any person obtaining a copy
.. of this software and associated documentation files (the "Software"), to deal
.. in the Software without restriction, including without limitation the rights
.. to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
.. copies of the Software, and to permit persons to whom the Software is
.. furnished to do so, subject to the following conditions:
..
.. The above copyright notice and this permission notice shall be included in all
.. copies or substantial portions of the Software.
..
.. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
.. IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
.. FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
.. AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
.. LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
.. OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
.. SOFTWARE.
"""
import multiprocessing as mp
from multiprocessing import Manager
from time import sleep
import os
from joblib import Parallel, delayed
from .Settings import SETTINGS
def worker_subprocess(function, devices, lockd, results, lockr,
pids, lockp, args, kwargs, idx, *others):
device = None
while device is None:
with lockd:
try:
device = devices.pop()
except IndexError:
pass
sleep(1)
output = function(*args, **kwargs, device=device, idx=idx)
with lockd:
devices.append(device)
with lockr:
results.append(output)
with lockp:
pids.append(os.getpid())
def worker_subprocess_idx(function, devices, lockd, results, lockr,
pids, lockp, args, kwargs, idx, *others):
device = None
while device is None:
with lockd:
try:
device = devices.pop()
except IndexError:
pass
sleep(1)
output = function(*args, **kwargs, device=device, idx=idx)
with lockd:
devices.append(device)
with lockr:
results.append((idx, output))
with lockp:
pids.append(os.getpid())
[docs]def parallel_run(function, *args, nruns=None, njobs=None, gpus=None, **kwargs):
""" Mutiprocessed execution of a function with parameters, with GPU management.
This function is useful when the used wants to execute a bootstrap on a
function on GPU devices, as joblib does not include such feature.
Args:
function (function): Function to execute.
\*args: arguments going to be fed to the function.
nruns (int): Total number of executions of the function.
njobs (int): Number of parallel executions (defaults to ``cdt.SETTINGS.NJOBS``).
gpus (int): Number of GPU devices allocated to the job (defaults to ``cdt.SETTINGS.GPU``)
\**kwargs: Keyword arguments going to be fed to the function.
Returns:
list: concatenated list of outputs of executions. The order of elements
does not correspond to the initial order.
"""
njobs = SETTINGS.get_default(njobs=njobs)
gpus = SETTINGS.get_default(gpu=gpus)
if gpus == 0 and njobs > 1:
return Parallel(n_jobs=njobs)(delayed(function)(*args, **kwargs) for i in range(nruns))
manager = Manager()
devices = manager.list([f'cuda:{i%gpus}' if gpus !=0
else 'cpu' for i in range(njobs)])
results = manager.list()
pids = manager.list()
lockd = manager.Lock()
lockr = manager.Lock()
lockp = manager.Lock()
poll = [mp.Process(target=worker_subprocess,
args=(function, devices,
lockd, results, lockr,
pids, lockp, args,
kwargs, i))
for i in range(nruns)]
for p in poll:
p.start()
for p in poll:
p.join()
return list(results)
[docs]def parallel_run_generator(function, generator, njobs=None, gpus=None):
""" Mutiprocessed execution of a function with parameters, with GPU management.
Variant of the ```cdt.utils.parallel.parallel_run``` function, with the
exception that this function takes an iterable as args, kwargs and nruns.
Args:
function (function): Function to execute.
\*args: arguments going to be fed to the function.
generator (iterable): generator or list with the arguments
for each run, each element much be a tuple of ([args], {kwargs}).
njobs (int): Number of parallel executions (defaults to ``cdt.SETTINGS.NJOBS``).
gpus (int): Number of GPU devices allocated to the job (defaults to ``cdt.SETTINGS.GPU``)
\**kwargs: Keyword arguments going to be fed to the function.
Returns:
list: concatenated list of outputs of executions. The order of elements
does correspond to the initial order.
"""
njobs = SETTINGS.get_default(njobs=njobs)
gpus = SETTINGS.get_default(gpu=gpus)
if gpus == 0 and njobs > 1:
return Parallel(n_jobs=njobs)(delayed(function)(*args, **kwargs) for args,kwargs in generator)
manager = Manager()
devices = manager.list([f'cuda:{i%gpus}' if gpus !=0
else 'cpu' for i in range(njobs)])
results = manager.list()
pids = manager.list()
lockd = manager.Lock()
lockr = manager.Lock()
lockp = manager.Lock()
poll = [mp.Process(target=worker_subprocess_idx,
args=(function, devices,
lockd, results, lockr,
pids, lockp, args,
kwargs, i))
for i, (args, kwargs) in enumerate(generator)]
for p in poll:
p.start()
for p in poll:
p.join()
res = sorted(list(results), key=lambda tup:tup[0])
return list([out[1] for out in res])


1 """
2 python-fedex API Documentation
3 ==============================
4 The python-fedex module is a light wrapper around Fedex's Web Services SOAP API.
5 Using the excellent U{suds<https://fedorahosted.org/suds/>} SOAP client,
6 the Fedex requests and responses are trivial to work with.
7
8 What python-fedex is
9 --------------------
10 - A light wrapper around Fedex Web Services SOAP API.
11 - Simple and easy to use.
12 - Minimal by design.
13
14 What python-fedex is not
15 ------------------------
16 - An abstraction layer. python-fedex only assembles the needed SOAP calls
17 and returns a SOAP response through suds. This is easy enough to work with
18 that no abstraction is needed. Doing so would limit your use of the data.
19 - Anything more than a light wrapper.
20
21 A note on completeness
22 ----------------------
23 python-fedex was created for use with various internal projects over the years.
24 Not all services are implemented but only those needed at the time were implemented.
25 If there is missing functionality, please report an U{issue<http://code.google.com/p/python-fedex/issues/list>}
26 so that this module can be made more useful to others. Likewise, feel free to
27 submit patches and service implementations as well if you would like to help.
28
29 Getting Started
30 ---------------
31 The best place to get started is by viewing the examples in the 'examples'
32 directory. These should be very self-explanatory. For further details, you
33 may review the API here, or get support by reading the instructions in the
34 appropriately named section below.
35
36 The L{services} module is also a good place to start looking at the different
37 objects used for issuing Fedex requests.
38
39 As a general tip, the best way to see which attributes are available on WSDL
40 objects is to simply print them, hitting their __str__() method.
41
42 Fedex Documentation
43 -------------------
44 If you are wondering what attributes or variables are present, you'll want to
45 refer to the Fedex Web Services documentation at http://fedex.com/developer/.
46 Complete specification documents are there, which correspond very closely with
47 what you'll be able to do with python-fedex.
48
49 Getting Support
50 ---------------
51 If you have any questions, problems, ideas, or patch submissions, please visit
52 our U{Github project<http://github.com/gtaylor/python-fedex/>} and enter
53 an issue in the U{Issue Tracker<http://github.com/gtaylor/python-fedex/issues>}.
54 """
55 VERSION = __version__ = '2.3.0'
56


Air Force space squadron to operate out of Hawaii facility
LIHUE, Hawaii (AP) - The U.S. Air Force has approved a naval facility and airport as the preferred alternative site for a technical squadron tasked with monitoring satellites in support of the national security space mission.
The Garden Island reported Tuesday that the Space Control Squadron would operate out of the Barking Sands Pacific Missile Range Facility in western Kauai.
Officials say the squadron would ensure that military and other national security agencies have access to satellite communication, intelligence and key information.
Officials say the unit is also expected to bring more federal funds and jobs to the state supporting 88 new Hawaii Air National Guard positions.
Federal officials say the basing process is expected to be completed by 2020, with the unit becoming partially operational by 2021 and fully operational by 2022.
Information from: The Garden Island, http://thegardenisland.com/
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The bootrap input elements are fully responsive.
Our checkboxes and radios are fully customizable via css.


| Types.ResolveInFrameB. | Meaning |
|---|---|
| world | Resolve vector in world frame |
| frame_b | Resolve vector in frame_b |
| frame_resolve | Resolve vector in frame_resolve (frame_resolve must be connected) |
type ResolveInFrameB = enumeration(world "Resolve in world frame", frame_b "Resolve in frame_b", frame_resolve "Resolve in frame_resolve (frame_resolve must be connected)");


Select a cophylogeny to display
Highlight recombinant segments:
Highlight the sequences from an individual animal or animals
Highlight the sequences from a particular genotype or genotypes


| Name | Surname | Sex | Phone | Date of birth | Experience | Technologies | ||
|---|---|---|---|---|---|---|---|---|
| {{employee.name}} | {{employee.surname}} | {{employee.sex}} | {{employee.phone}} | {{employee.dateOfBirth}} | {{employee.experience}} | {{employee.technologies}} | {{employee.email}} |
| Name | Surname | Sex | Phone | Date of birth | Experience | Technologies | ||
|---|---|---|---|---|---|---|---|---|
| {{employee.name}} | {{employee.surname}} | {{employee.sex}} | {{employee.phone}} | {{employee.dateOfBirth}} | {{employee.experience}} | {{employee.technologies}} | {{employee.email}} |


| Home | About | Members | Sponsors | 4-H | FIRST | Contact Us |
FIRST (For Inspiration and Recognition of Science and Technology) was founded in 1989 to inspire young people's interest and participation in science and technology. Based in Manchester, NH, the 501(c)(3) not-for-profit public charity designs accessible, innovative programs that motivate young people to pursue education and career opportunities in science, technology, engineering, and math, while building self-confidence, knowledge, and life skills.
FIRST is More Than Robots. FIRST participation is proven to encourage students to pursue education and careers in STEM-related fields, inspire them to become leaders and innovators, and enhance their 21 st century work-life skills.
Want to find out even more about FIRST? Click here to go to firstinspires.org


best web page EVER
SOoooooo woooow
So this is a web page, nice to see you again.
This is a simple web page
Now, back to buisniss
Is that spelled correctly?
Here's a picture.
Riley's website is better than that noobs down the street, his name is...
ISAIAH!!!!!
PEOPLE LOVE HIM! BANKS HATE HIM! FIND OUT THIS SIMPLE TRICK TO EARN MILLIONS OF REAL $$$$


{lang mobile:qqregmode1}
{lang mobile:qqregmode2}
{lang mobile:email}:
{lang mobile:register_validate_email_tips}
{lang mobile:invite_code}:
{lang mobile:invite_code}:
{lang mobile:username}:
{lang mobile:password}:
{lang mobile:password_confirm}:
{lang mobile:email}:
{lang mobile:register_message}:
{lang mobile:invite_code}:
$field[title]: $htmls[$field['fieldid']]
{eval $sechash = random(8);}
{lang mobile:seccode}:
{lang mobile:change_seccode}
{lang mobile:secqaa}:
{echo make_secqaa();}
{lang submit}
{lang login_id}:
{lang login_password}:
{lang security_q}:
{lang security_question}
{lang security_question_1}
{lang security_question_2}
{lang security_question_3}
{lang security_question_4}
{lang security_question_5}
{lang security_question_6}
{lang security_question_7}
{lang security_a}:
{lang submit}


Add a new store:
You can create a brand new store and add courses to it by selecting the "Create new store" option. Enter a new name for your store, select the currency you will use for selling courses in this store, and viola! You have a brand new store!


ScoreGrid¶
-
class
cvextend.
ScoreGrid
(score_selection=[{'score_name': 'Accuracy', 'score_key': 'rank_test_Accuracy', 'score_criteria': 'min', 'scorer': make_scorer(accuracy_score)}, {'score_name': 'F1-Score', 'score_key': 'rank_test_F1-Score', 'score_criteria': 'min', 'scorer': make_scorer(f1_score)}])[source]¶ Bases:
object
Generates a ScoreGrid as required by cvextend.EvaluationGrid
- Parameters
score_selection (
list
ofdicts
) – A list of dictionaries. Each dictionary contains the following keys and values:- ‘score_name’ (str)
name of the score, used for determining best
- ‘score_key’ (str)
key as found in a fitted instance of BaseSearchCV.cv_results_. Will be used to select the desired value
- ‘score_criteria’ (str or callable)
function or str function name as taken by pandas.DataFrame.transform. Will be used to select the winning value from score_key column’s values
- ‘scorer’ - (sklearn.scorer)
a callable as returned by sklearn.metrics.make_scorer
Examples
>>> from cvextend import ScoreGrid >>> example_scores = [ ... { ... 'score_name': 'Accuracy', ... 'score_key': 'rank_test_Accuracy', ... 'score_criteria': 'min', ... 'scorer': make_scorer(accuracy_score) ... }, ... { ... 'score_name': 'F1-Score', ... 'score_key': 'rank_test_F1-Score', ... 'score_criteria': 'min', ... 'scorer': make_scorer(f1_score) ... } ... ] >>> sc = ScoreGrid(example_scores) >>> sc.get_sklearn_dict() >>> sc.score_selection
Methods Summary
Returns a dict of scores as expected by sklearn.BaseSearchCV scoring parameter
Methods Documentation


ddev start- Configure a project's type and docroot:
ddev config- [f]ollow the log trail:
ddev logs -f- Run composer within the container:
ddev composer- Install a specific Node.js version:
ddev nvm install version- Export a database:
ddev export-db --file=/tmp/db.sql.gz- Run a specific command within a container:
ddev exec echo 1


{% include 'header_common.html' %}
Wise men ne'er sit and wail their loss, But cheerly seek how to redress their harms.


{{ JSGlue.include() }}
ONT BANK
Reload
Create
Deposit
Withdraw
Query
ONT
Cancel
Confirm
ONG BANK
Reload
Create
Deposit
Withdraw
Query
ONTOLOGY WALLET
Reload
Create
Deposit
Withdraw
Query
0x
Change Contract
Create Account
Import Account
Remove Account
private key:
Confirm


Module
| CTask |
The class for the tasks version 0.5 beta for the task class |
| CTaskStack |
The class for the task stack version 0.91 beta for the task stack |
| CTaskTimer |
The class for task This is version 0.9 beta of the class for tasks |
| lib2 |
The Help Modul |
| main |
Example for common use |


tilewriter examples
Text widh different tile sizes:
Text Width:
It's me, Mario:
An incomplete palette, centered:


Settings
General Settings
Enabled on startup:
If checked, this extension will connect to OTRS and start caching ticket metadata when the browser is started. If not enabled caching will not begin until the tool bar button is clicked for the first time.
Resource usage:
Low
Medium
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OTRS Server Settings
OTRS Version:
Queue Settings
Home queue:
My Tickets
Other queues:
Tickets
Sort by:
Age: oldest on top
Age: newest on top
Priority
Include tickets in these states:


You don't need a big garden to observe how seeds develop in this fun science experiment—and you can use materials you may already have at home. Don't forget to share your adventures with us on social media using #redbuttegarden.
Click HERE for larger, printable intructions.
Click HERE to download your own Seed Journal.


vignettes/RunningCohortDiagnostics.Rmd
RunningCohortDiagnostics.Rmd
We need to tell R how to connect to the server where the data are. CohortDiagnostics
uses the DatabaseConnector
package, which provides the createConnectionDetails
function. Type ?createConnectionDetails
for the specific settings required for the various database management systems (DBMS). For example, one might connect to a PostgreSQL database using this code:
connectionDetails <- createConnectionDetails(dbms = "postgresql",
server = "localhost/ohdsi",
user = "joe",
password = "supersecret")
cdmDatabaseSchema <- "my_cdm_data"
tempEmulationSchema <- NULL
cohortDatabaseSchema <- "my_schema"
cohortTable <- "my_cohort_table"
The last four lines define the cdmDatabaseSchema
, tempEmulationSchema
, cohortDatabaseSchema
, and cohortTable
variables. We’ll use the cdmDatabaseSchema
later to tell R where the data in CDM format live. The tempEmulationSchema
is needed only for Oracle users, since Oracle does not support temporary tables. The cohortDatabaseSchema
, and cohortTable
specify where we want to instantiate our cohorts. Note that for Microsoft SQL Server, databaseschemas need to specify both the database and the schema, so for example cdmDatabaseSchema <- "my_cdm_data.dbo"
.
In order to run most of the cohort diagnostics, we need to instantiate the cohorts. The best way is to instantiate the cohorts in a new cohort table. We can use the createCohortTable
to create an empty cohort table:
createCohortTable(connectionDetails = connectionDetails,
cohortDatabaseSchema = cohortDatabaseSchema,
cohortTable = cohortTable)
Note this this function will delete the table if it already exists before creating it.
Once diagnostics is completed, a zip file will have been created in the specified export folder. This zip file can be shared between sites, as it does not contain patient-identifiable information. When unzipped, the zip file will contain several .csv files that maybe easily audited. Note that cell counts smaller than 5 have been removed, as specified using the minCellCount
argument, to ensure non-identifiability.
Assuming you completed the steps described above for one or more databases, you should now have a set of zip files, one per database. Make sure to place all zip files in a single folder, for example c:/temp/allZipFiles
.
Optionally, we can pre-merge the zip files, so we can view results in the Shiny app:
preMergeDiagnosticsFiles("C:/temp/allZipFiles")


| 1. Hello, welcome. | |
| 2. In this short video, let us look at the derivation of the estimators of the parameters of a uniform distribution using the method of moment. | |
| 3. Given the uniform distribution f of x equal to one by b minus a, for random variable x between the values of a and b. | |
| 4. That is, the value, x is in the interval a comma b. | |
| 5. Given this uniform distribution, we want to derive estimators for the parameters, a and b using the method of moments. | |
| 6. To start with, we derive the first two moments based on the PDF. | |
| 7. That is, expectation of x is given by integral a to b, x times f of x dx. | |
| 8. equal to integral a to b, x times one by b minus a dx. | |
| 9. equal to one by b minus a times x squared by two, and the limits are a to b equal to b squared minus a squared by two b minus a. | |
| 10. Since b squared minus a squared equal to b minus a multiplied by b plus a, and the denominator is two times b minus a, therefore clearly, we can cancel these b minus a since a is greater than b. | |
| 11. Therefore, expectation of x equal to to the average of a and b, that is, a plus b by two. | |
| 12. This is equation one. | |
| 13. Now we do that with the second moment. | |
| 14. Expectation of x squared equal to integral a to b, x squared times f of x dx. | |
| 15. It's equal to integral a to b, x squared multiplied by one by b minus a dx which is equal to one by b minus a times x cubed by three, and the limits are a to b. | |
| 16. equal to the numerator is b cubed minus a cubed, and the denominator is three times b minus a. | |
| 17.  This is equation two. | |
| 19. Now we note the expressions for the sample moment, that is the sample first moment is xbar, that is the mean. | |
| 20. The sample mean equal to the one by n, summation i equal to one to the n times xi. | |
| 21. This is equation three. | |
| 22. The sample second moment designated as xbar with subscript two equal to one by n, summation i equal to one to the n times xi squared This is sample second moment. | |
| 23. Equation four. | |
| 24. By using equations one to four, that is, expectation of x equal to equating it to the sample mean. | |
| 25. Equating the second moment, Expecatation of x squared to the sample second moment. | |
| 26. We have a plus b by two equal to xbar. | |
| 27. Note that xbar are the mean, sample mean is given by equation three. | |
| 28. For simplicity, we use this symbol. | |
| 29. We also have the Expectation of x squared, that is, second moment defined as a squared plus b squared plus a times b by three equal to the sample second moment, xbar underscore two, the subscript two. | |
| 30. Using these two equations, that is, solving the systems of the two equations, we can solve our a and b. | |
| 31. From equation five, that is, this equation we have a plus b equal to two times xbar, which basically means that a equal to two xbar, or two times the sample mean minus b. | |
| 32. By plugging-in this value in the equation six, that is, a equal to two xbar minus b in this equation six, we have two times xbar minus b squared plus b squared plus two xbar minus b times b equal to three times sample second moment. | |
| 33. Expanding these terms, we have b squared plus four times xbar squared, that is, square of the mean minus four times b by xbar plus b squared, that is this term. | |
| 34. Then we have minus b squared, that is this term. | |
| 35. Also we have plus two times b xbar equal to three times the sample second moment. | |
| 36. Upon simplification, we have b squared, that is, this b squared and this b squared cancelled each other, we are left with b squared. | |
| 37.  Then we have four times xbar squared minus three times the sample second moment equal to zero. | |
| 39. If you look at this equation, this is basically a quadratic equation in b. | |
| 40. Therefore, the value of b is given by b equal to minus b, that is, minus the quotient of the linear term, the quotient of the first part of the term. | |
| 41. That is, minus two times xbar plus or minus square root of b squared minus four a times c. | |
| 42. That is, two by xbar squared minus four by one into this value, that is four times xbar squared minus three times xbar underscore two. | |
| 43. That is the sample second moment. | |
| 44. This is the two times a, which is two times one. | |
| 45. Under the assumption both a and b are positives, we have bhat equal to. | |
| 46. This should be positive. | |
| 47. We have bhat equal to xbar plus square root of four times xbar squared minus four times four xbar squared plus four times three times xbar two. | |
| 48. That is the sample second moment by two. | |
| 49. Therefore, the bhat equal to... | |
| 50. The estimator of b is given by xbar plus... | |
| 51. This four can be taken outside, and it cancels with two. | |
| 52. We are left with three times the sample second moment minus three times the square the mean. | |
| 53. This equal to square root of three times sample second moment minus three times the square of the mean. | |
| 54. We have mean squared. | |
| 55. Therefore, this is the estimator of b. | |
| 56. While using this relation, that is, a equal to xbar minus b, we also have an estimator, a. | |
| 57. ahat equal to two times xbar minus bhat equal to xbar minus square root of three times xbar underscore minus xbar squared. | |
| 58. You can note that the value within the parenthesis is clearly the variance of the sample, that is, the difference between the second moment on square root of the mean, which is basically the variance of the sample. | |
| 59. Therefore, our uniform distribution variable should be random. | |
| 60. The estimators of the unknown parameters a and b are given by combinations of mean and standard deviation of the sample. | |
| 61. That is, ahat equal to the sample mean, xbar minus square root of three times the standard deviation, S of the sample. | |
| 62. Similarly, bhat equal to xminusbar plus square root of three times the standard deviation of the sample. | |
| 63. Therefore, the estimators of a and b are basically linear combinations of sample mean and sample standard deviation. | |
| 64. Thanks for watching. |


9:00 am Campus Shuttle
Campus Housing Science Center
9:30 am Chemistry Lab
Science Center 212
Bring lab coat, goggles, and gloves.
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Campus Dining Center
Daily Special: Sirloin Steak Burger
1:00 pm Literature Lecture
Liberal Arts Center 135
Read Chapters 23-27 before lecture
My Tasks
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Due Yesterday -
Statistics Assignment
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49˚ Clear.
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Mostly cloudy starting this evening.
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=== Test case: lasp_peer_to_peer_advertisement_counter_SUITE:full_peer_to_peer_state_based_tree_test/1 (click for source code)
=== Config value:
[{watchdog,<0.449.0>},
<EMAIL_ADDRESS>{tc_group_properties,[]},
{tc_group_path,[]},
{data_dir,"/Users/anne-francevanswieten/lasp/_build/test/lib/lasp/test/lasp_peer_to_peer_advertisement_counter_SUITE_data/"},
<EMAIL_ADDRESS>=== Current directory is<EMAIL_ADDRESS>=== Started at 2017-04-18 14:32:20
*** User 2017-04-18 14:32:20.629 ***
Beginning test case full_peer_to_peer_state_based_tree_test
*** User 2017-04-18 14:32:20.641 ***
Running peer_to_peer_ad_counter_state_based_tree_test with nodes [server,
client_1,
client_2,
client_3]
*** User 2017-04-18 14:32:20.641 ***
Launching Erlang distribution...

*** User 2017-04-18 14:32:27.698 ***
Custering nodes...
*** User 2017-04-18 14:32:27.698 ***
Joining node: server@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 51288
*** User 2017-04-18 14:32:27.702 ***
Joining node: server@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 51290
*** User 2017-04-18 14:32:27.703 ***
Joining node: server@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 51292
*** User 2017-04-18 14:32:27.706 ***
Joining node: client_1@MBPdeAnneFrance to server@MBPdeAnneFrance at port 51286
*** User 2017-04-18 14:32:27.712 ***
Joining node: client_1@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 51290
*** User 2017-04-18 14:32:27.715 ***
Joining node: client_1@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 51292
*** User 2017-04-18 14:32:27.716 ***
Joining node: client_2@MBPdeAnneFrance to server@MBPdeAnneFrance at port 51286
*** User 2017-04-18 14:32:27.717 ***
Joining node: client_2@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 51288
*** User 2017-04-18 14:32:27.717 ***
Joining node: client_2@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 51292
*** User 2017-04-18 14:32:27.717 ***
Joining node: client_3@MBPdeAnneFrance to server@MBPdeAnneFrance at port 51286
*** User 2017-04-18 14:32:27.721 ***
Joining node: client_3@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 51288
*** User 2017-04-18 14:32:27.722 ***
Joining node: client_3@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 51290
*** User 2017-04-18 14:32:27.723 ***
Lasp fully initialized.
*** User 2017-04-18 14:32:27.723 ***
Waiting for simulation to end
*** User 2017-04-18 14:35:07.740 ***
Simulation ended with success
*** User 2017-04-18 14:35:15.817 ***
Ending test case full_peer_to_peer_state_based_tree_test
=== Ended at 2017-04-18 14:35:15
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


---
layout: post
title: War Movie Review By Rajeev Masand (हिंदी) | Hrithik Roshan | Tiger Shrof...
date: '2019-10-05T16:36:00.001+05:30'
author: Sahil Rajput
tags:
modified_time: '2019-10-05T16:36:38.449+05:30'
thumbnail: https://i.ytimg.com/vi/GuTBdlbLmug/default.jpg
blogger_id: tag:blogger.com,1999:blog-5250005448924290719.post-5275630106555741563
blogger_orig_url: https://www.jaadujinn.ml/2019/10/war-movie-review-by-rajeev-masand.html
---
For review.


Unidentified paragraph
Identified paragraph
A link
An unidentified link
Nested paragraph
A nested link
An unidentified nested link


Our wines
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2016
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2013
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2014
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2013
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2014
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2016
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2016
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2015
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2016
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3
Lazy Daze Rose Wine, 2016
0,75 lLazy Daze Rose Wine, 2012
Charming as well as fragrant, while remaining classically authentic. Light aging in stainless steel results in astructured, light, dry and refreshing rose wine to enjoy on its own or with a summer BBQ
Varietal / Origin:
Produced, blended and bottled from 1/2 100% Grenache Rose Wine & 1/2 100% Viognier byNevada Sunset Winery, Reno, NV
From: El Dorado & Nevada Counties
Type of Wine: Grenache / Viogner Rose Wine
Alcohol %: 13.3


CVE-2013-7285: XStream can be used for Remote Code Execution.
All versions until and including version 1.4.6 are affected, but a workaround exist.
Version 1.4.10 is affected if the security framework has not been initialized.
The processed stream at unmarshalling time contains type information to recreate the formerly written objects. XStream creates therefore new instances based on these type information. An attacker can manipulate the processed input stream and replace or inject objects, that can execute arbitrary shell commands.
Create a simple interface e.g. named Contact and an implementation class. Use XStream to marshal such an object to XML. Replace the XML with following snippet and unmarshal it again with XStream:
<contact class='dynamic-proxy'> <interface>org.company.model.Contact</interface> <handler class='java.beans.EventHandler'> <target class='java.lang.ProcessBuilder'> <command> <string>calc.exe</string> </command> </target> <action>start</action> </handler> </contact>
XStream xstream = new XStream(); Contact contact = (Contact)xstream.fromXML(xml);
Then as soon as the code calls any method on the Contact instance, the payload gets executed, e.g. contact.getFirstName().
Note, this example uses XML, but the attack can be performed for any supported format. e.g. JSON.
The vulnerability may allow a remote attacker to run arbitrary shell commands only by manipulating the processed input stream.
Users can register an own converter for dynamic proxies, the java.beans.EventHandler type or for the java.lang.ProcessBuilder type, that also protects against an attack for this special case:
xstream.registerConverter(new Converter() { public boolean canConvert(Class type) { return type != null && (type == java.beans.EventHandler || type == java.lang.ProcessBuilder || Proxy.isProxy(type)); } public Object unmarshal(HierarchicalStreamReader reader, UnmarshallingContext context) { throw new ConversionException("Unsupported type due to security reasons."); } public void marshal(Object source, HierarchicalStreamWriter writer, MarshallingContext context) { throw new ConversionException("Unsupported type due to security reasons."); } }, XStream.PRIORITY_LOW);
The vulnerability was discovered and reported by Pierre Francis Ernst of IBM Canada.


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Feedback and Troubleshooting
If things do not work, especially simple things like bibant -version, then something is wrong with your configuration. Before
filing bug reports or emailing us, please do:
- Check your environment variables. Is JAVA_HOME correct and pointing to a valid JRE / JDK (>= 1.5)? If it has quotes or trailing slashes, remove them.
- Is your PATH correct? Is BibAnt on it? What about JRE/bin or JDK/bin? If you've installed BibAnt for the first time with the option
checked to add BibAnt to the PATH (this is the default), have you restarted your computer? This is sometimes required to get the new
PATH definition taken in account.
- If a task doesn't do what you expect, run bibant -verbose or bibant -debug to see what is happening.
If you can't fix your problem, send us an email.
If you think you've found a bug and are a registered customer, you can report it to our Issue Tracking System.
If you're struggling to develop a BibAnt script to support your documentation process, do email us,
we're here to help!


Laban Tall at UK Commentators:
“There's a small Cultural Studies paper waiting to be written on names—how the Amalgamated Union of Wire-Drawers, Fettlers and Allied Trades turns in thirty years into something called ‘Together’ or ‘Unity’, British Insulated Cable and Radio Limited into ‘Xantippe’ or ‘Xenith’, and the Royal Signals and Radar Establishment via ‘Defence Research Agency’ into ‘QinetiQ’. The key being that the old, wordy, literate names actually described what the organisation did, the new ones conceal it and are post-literate, logos in letter form.”
And let us not forget the harebrained attempt by the Royal Mail to “rebrand” itself as Consignia.


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Base class for all decoding functionality. More...
#include <encoding.h>
Public Member Functions | |
| decoder_base (const unsigned char *buf) | |
| BMFORCEINLINE unsigned char | get_8 () |
| Reads character from the decoding buffer. | |
| BMFORCEINLINE unsigned | size () const |
| Returns size of the current decoding stream. | |
| BMFORCEINLINE void | seek (int delta) |
| change current position | |
Protected Attributes | |
| const unsigned char * | buf_ |
| const unsigned char * | start_ |
Base class for all decoding functionality.
Definition at line 74 of file encoding.h.
| bm::decoder_base::decoder_base | ( | const unsigned char * | buf | ) | [inline] |
Definition at line 77 of file encoding.h.
| BMFORCEINLINE unsigned char bm::decoder_base::get_8 | ( | ) | [inline] |
Reads character from the decoding buffer.
Definition at line 79 of file encoding.h.
References buf_.
Referenced by bm::operation_deserializer< BV >::deserialize(), and bm::deserialize().
| BMFORCEINLINE void bm::decoder_base::seek | ( | int | delta | ) | [inline] |
change current position
Definition at line 85 of file encoding.h.
References buf_.
Referenced by bm::decoder_little_endian::get_16(), bm::decoder::get_16(), bm::decoder_little_endian::get_32(), and bm::decoder::get_32().
| BMFORCEINLINE unsigned bm::decoder_base::size | ( | ) | const [inline] |
Returns size of the current decoding stream.
Definition at line 82 of file encoding.h.
const unsigned char* bm::decoder_base::buf_ [protected] |
Definition at line 87 of file encoding.h.
Referenced by decoder_base(), bm::decoder_little_endian::get_16(), bm::decoder::get_16(), bm::decoder_little_endian::get_32(), bm::decoder::get_32(), get_8(), seek(), and size().
const unsigned char* bm::decoder_base::start_ [protected] |
Definition at line 88 of file encoding.h.
Referenced by decoder_base(), and size().


{%- include head.html -%}
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| Super Mario 64 | PB |
| Exploits | Beat the game with 50 and 31 stars. |
| Stars | 120/120 |
| Super Mario Galaxy | PB |
| Luigi Stars | 121/121 |
| Mario Stars | 121/121 |
| Race Times | Luigi | Mario |
| A Very Spooky Sprint | 1:00:25 | 1:00:43 |
| Faster Than a Speeding Penguin | 1:13:18 | 1:12:16 |
| Racing the Spooky Speedster | 0:53:53 | 0:40:03 |
| Surfing 101 | 1:01:20 | 1:00:70 |
| The Galaxy's Greatest Wave | 1:00:63 | 1:00:00 |


--- title: Israel shot 125 date: 2004-05-05T00:00:00.000Z filepathOriginal: photos/IMG0131.jpg filepathThumbnail: photos/IMG0131.thumbnail.jpg filepathPreview: photos/IMG0131.preview.jpg ---
Photo of the famous 'no photographing' sign at Rosh Hanikra


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REMARKS |
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2017-12 |
Professional service of a facilitator for the Philippine- EAGA Trade and Investment Facilitation Cluster Plan- ning Workshop on March 27-28, 2017 |
PAYABLE |
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2017-12 |
Professional service of a facilitator for the Philippine- EAGA Trade and Investment Facilitation Cluster Plan- ning Workshop on March 27-28, 2017 |
PAYABLE |
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2017-12 |
Professional service of a facilitator for the Philippine- EAGA Trade and Investment Facilitation Cluster Plan- ning Workshop on March 27-28, 2017 |
PAYABLE |
|
2017-12 |
Professional service of a facilitator for the Philippine- EAGA Trade and Investment Facilitation Cluster Plan- ning Workshop on March 27-28, 2017 |
PAYABLE |


2 writes to HasGeneratedReservedMembers
System.Management.Automation (2)
engine\MshMemberInfo.cs (1)
4486
_mshOwner.
HasGeneratedReservedMembers
= true;
engine\MshObject.cs (1)
1645
returnValue.
HasGeneratedReservedMembers
= false;
1 reference to HasGeneratedReservedMembers
System.Management.Automation (1)
engine\MshMemberInfo.cs (1)
4484
if (!_mshOwner.
HasGeneratedReservedMembers
)


Fire rips through pro shop, offices at Big Island golf course
by HNN StaffHONOLULU, Hawaii (HawaiiNewsNow) - A fire gutted parts of the Volcano Golf and Country Club on Thursday morning, Big Island firefighters said.
The blaze was first reported around 4:50 a.m. at the commercial building located on Piimauna Drive.
Firefighters arrived on scene just before 5 a.m.
 However, the restaurant, changing rooms, golf carts and a large retail storage area were saved.
No injuries were reported.
The blaze remains under investigation.
Copyright 2019 Hawaii News Now. All rights reserved.


Core
| Wiki ▸ [[API Reference |
API-Reference]] ▸ Core |
See one of:
- [[Selections]] - manipulate elements in the current document.
- [[Transitions]] - interpolate attributes and styles smoothly over time.
- [[Arrays]] - manipulate arrays and objects with ease.
- [[Requests]] - load external data.
- [[Formatting]] - convert numbers, dates and other objects to strings.
- [[Localization]] - control locale-specific behavior, such as number formatting.
- [[Colors]] - parse and manipulate colors; work with color spaces.
- [[Namespaces]] - extend D3’s support for XML namespaces.
- [[Math]] - miscellaneous mathematical functions.
- [[Internals]] - sundry utilities for extending D3.


ski & snowboard school
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Skiing and snowboarding still rank among the undisputed winter sport highlights for all ages and ability levels. The perfectly groomed ski slopes makes a real heaven for skiers and riders. Our professional ski and snowboard instructors can show you all the little details while improving your skiing techniques and riding skills.
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We’re not saying Snow Mountain has special powers, but a lot of magical things do happen here. The slopes on Bald and Dollar mountains enjoy a nearly lift line–free existence all winter long, not to mention a nearly cloud-free one.
To those who wish to experience the best holiday time ever, we are excited to offer unlimited fun on the slopes, homey cosiness, wonderful views and snow activities. All this selection is presented in a great variety for any taste, age and skill. We are looking forward to seeing you in Snow Mountain ski resort at new season!
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Earl Grey tea, watercress sandwiches... and Bularian canapés? Are you up for promotion? Is it my imagination, or have tempers become a little frayed on the ship lately? We have a saboteur aboard. Flair is what marks the difference between artistry and mere competence. My oath is between Captain Kargan and myself. Your only concern is with how you obey my orders. Or do you prefer the rank of prisoner to that of lieutenant?
Yesterday I did not know how to eat gagh. This should be interesting. Besides, you look good in a dress. Fate. It protects fools, little children, and ships named "Enterprise." Did you come here for something in particular or just general Riker-bashing? Computer, lights up! That might've been one of the shortest assignments in the history of Starfleet. Sure. You'd be surprised how far a hug goes with Geordi, or Worf.
!!DRAG ME TO ORANGE BOX!! I'd like to think that I haven't changed those things, sir.  Could someone survive inside a transporter buffer for 75 years? I've had twelve years to think about it. !!DRAG ME TO ORANGE BOX!!