Actions, resources, and condition keys for AWS Device Farm
AWS Device Farm (service prefix:
devicefarm
) provides the following service-specific resources, actions, and condition context keys for use in IAM permission policies.
References:
-
Learn how to configure this service .
-
View a list of the API operations available for this service .
-
Learn how to secure this service and its resources by using IAM permission policies.
Topics
Actions defined by AWS Device Farm
You can specify the following actions in the
Action
element of an IAM policy statement. Use policies to grant permissions to perform an operation in AWS. When you use an action in a policy, you usually allow or deny access to the API operation or CLI command with the same name. However, in some cases, a single action controls access to more than one operation. Alternatively, some operations require several different actions.
The
Resource types
column of the Actions table indicates whether each action supports resource-level permissions. If there is no value for this column, you must specify all resources ("*") to which the policy applies in the
Resource
element of your policy statement. If the column includes a resource type, then you can specify an ARN of that type in a statement with that action. If the action has one or more required resources, the caller must have permission to use the action with those resources. Required resources are indicated in the table with an asterisk (*). If you limit resource access with the
Resource
element in an IAM policy, you must include an ARN or pattern for each required resource type. Some actions support multiple resource types. If the resource type is optional (not indicated as required), then you can choose to use one of the optional resource types.
The
Condition keys
column of the Actions table includes keys that you can specify in a policy statement's
Condition
element. For more information on the condition keys that are associated with resources for the service, see the
Condition keys
column of the Resource types table.
For details about the columns in the following table, see Actions table .
| Actions | Description | Access level | Resource types (*required) | Condition keys | Dependent actions |
|---|---|---|---|---|---|
| CreateDevicePool | Grants permission to create a device pool within a project | Write | |||
| CreateInstanceProfile | Grants permission to create a device instance profile | Write | |||
| CreateNetworkProfile | Grants permission to create a network profile within a project | Write | |||
| CreateProject | Grants permission to create a project for mobile testing | Write |
ec2:CreateNetworkInterface ec2:DescribeSecurityGroups ec2:DescribeSubnets ec2:DescribeVpcs iam:CreateServiceLinkedRole |
||
| CreateRemoteAccessSession | Grants permission to start a remote access session to a device instance | Write | |||
| CreateTestGridProject | Grants permission to create a project for desktop testing | Write |
ec2:CreateNetworkInterface ec2:DescribeSecurityGroups ec2:DescribeSubnets ec2:DescribeVpcs iam:CreateServiceLinkedRole |
||
| CreateTestGridUrl | Grants permission to generate a new pre-signed url used to access our test grid service | Write | |||
| CreateUpload | Grants permission to upload a new file or app within a project | Write | |||
| CreateVPCEConfiguration | Grants permission to create an Amazon Virtual Private Cloud (VPC) endpoint configuration | Write | |||
| DeleteDevicePool | Grants permission to delete a user-generated device pool | Write | |||
| DeleteInstanceProfile | Grants permission to delete a user-generated instance profile | Write | |||
| DeleteNetworkProfile | Grants permission to delete a user-generated network profile | Write | |||
| DeleteProject | Grants permission to delete a mobile testing project | Write | |||
| DeleteRemoteAccessSession | Grants permission to delete a completed remote access session and its results | Write | |||
| DeleteRun | Grants permission to delete a run | Write | |||
| DeleteTestGridProject | Grants permission to delete a desktop testing project | Write | |||
| DeleteUpload | Grants permission to delete a user-uploaded file | Write | |||
| DeleteVPCEConfiguration | Grants permission to delete an Amazon Virtual Private Cloud (VPC) endpoint configuration | Write | |||
| GetAccountSettings | Grants permission to retrieve the number of unmetered iOS and/or unmetered Android devices purchased by the account | Read | |||
| GetDevice | Grants permission to retrieve the information of a unique device type | Read | |||
| GetDeviceInstance | Grants permission to retireve the information of a device instance | Read | |||
| GetDevicePool | Grants permission to retireve the information of a device pool | Read | |||
| GetDevicePoolCompatibility | Grants permission to retrieve information about the compatibility of a test and/or app with a device pool | Read | |||
| GetInstanceProfile | Grants permission to retireve the information of an instance profile | Read | |||
| GetJob | Grants permission to retireve the information of a job | Read | |||
| GetNetworkProfile | Grants permission to retireve the information of a network profile | Read | |||
| GetOfferingStatus | Grants permission to retrieve the current status and future status of all offerings purchased by an AWS account | Read | |||
| GetProject | Grants permission to retrieve information about a mobile testing project | Read | |||
| GetRemoteAccessSession | Grants permission to retireve the link to a currently running remote access session | Read | |||
| GetRun | Grants permission to retireve the information of a run | Read | |||
| GetSuite | Grants permission to retireve the information of a testing suite | Read | |||
| GetTest | Grants permission to retireve the information of a test case | Read | |||
| GetTestGridProject | Grants permission to retrieve information about a desktop testing project | Read | |||
| GetTestGridSession | Grants permission to retireve the information of a test grid session | Read | |||
| GetUpload | Grants permission to retireve the information of an uploaded file | Read | |||
| GetVPCEConfiguration | Grants permission to retireve the information of an Amazon Virtual Private Cloud (VPC) endpoint configuration | Read | |||
| InstallToRemoteAccessSession | Grants permission to install an application to a device in a remote access session | Write | |||
| ListArtifacts | Grants permission to list the artifacts in a project | List | |||
| ListDeviceInstances | Grants permission to list the information of device instances | List | |||
| ListDevicePools | Grants permission to list the information of device pools | List | |||
| ListDevices | Grants permission to list the information of unique device types | List | |||
| ListInstanceProfiles | Grants permission to list the information of device instance profiles | List | |||
| ListJobs | Grants permission to list the information of jobs within a run | List | |||
| ListNetworkProfiles | Grants permission to list the information of network profiles within a project | List | |||
| ListOfferingPromotions | Grants permission to list the offering promotions | List | |||
| ListOfferingTransactions | Grants permission to list all of the historical purchases, renewals, and system renewal transactions for an AWS account | List | |||
| ListOfferings | Grants permission to list the products or offerings that the user can manage through the API | List | |||
| ListProjects | Grants permission to list the information of mobile testing projects for an AWS account | List | |||
| ListRemoteAccessSessions | Grants permission to list the information of currently running remote access sessions | List | |||
| ListRuns | Grants permission to list the information of runs within a project | List | |||
| ListSamples | Grants permission to list the information of samples within a project | List | |||
| ListSuites | Grants permission to list the information of testing suites within a job | List | |||
| ListTagsForResource | Grants permission to list the tags of a resource | List | |||
| ListTestGridProjects | Grants permission to list the information of desktop testing projects for an AWS account | List | |||
| ListTestGridSessionActions | Grants permission to list the session actions performed during a test grid session | List | |||
| ListTestGridSessionArtifacts | Grants permission to list the artifacts generated by a test grid session | List | |||
| ListTestGridSessions | Grants permission to list the sessions within a test grid project | List | |||
| ListTests | Grants permission to list the information of tests within a testing suite | List | |||
| ListUniqueProblems | Grants permission to list the information of unique problems within a run | List | |||
| ListUploads | Grants permission to list the information of uploads within a project | List | |||
| ListVPCEConfigurations | Grants permission to list the information of Amazon Virtual Private Cloud (VPC) endpoint configurations | List | |||
| PurchaseOffering | Grants permission to purchase offerings for an AWS account | Write | |||
| RenewOffering | Grants permission to set the quantity of devices to renew for an offering | Write | |||
| ScheduleRun | Grants permission to schedule a run | Write | |||
|
SCENARIO: Device Pool as filter |
|||||
|
SCENARIO: Device Selection Configuration as filter |
|||||
| StopJob | Grants permission to terminate a running job | Write | |||
| StopRemoteAccessSession | Grants permission to terminate a running remote access session | Write | |||
| StopRun | Grants permission to terminate a running test run | Write | |||
| TagResource | Grants permission to add tags to a resource | Tagging | |||
| UntagResource | Grants permission to remove tags from a resource | Tagging | |||
| UpdateDeviceInstance | Grants permission to modify an existing device instance | Write | |||
| UpdateDevicePool | Grants permission to modify an existing device pool | Write | |||
| UpdateInstanceProfile | Grants permission to modify an existing instance profile | Write | |||
| UpdateNetworkProfile | Grants permission to modify an existing network profile | Write | |||
| UpdateProject | Grants permission to modify an existing mobile testing project | Write |
ec2:CreateNetworkInterface ec2:DescribeSecurityGroups ec2:DescribeSubnets ec2:DescribeVpcs iam:CreateServiceLinkedRole |
||
| UpdateTestGridProject | Grants permission to modify an existing desktop testing project | Write |
ec2:CreateNetworkInterface ec2:DescribeSecurityGroups ec2:DescribeSubnets ec2:DescribeVpcs iam:CreateServiceLinkedRole |
||
| UpdateUpload | Grants permission to modify an existing upload | Write | |||
| UpdateVPCEConfiguration | Grants permission to modify an existing Amazon Virtual Private Cloud (VPC) endpoint configuration | Write |
Resource types defined by AWS Device Farm
The following resource types are defined by this service and can be used in the
Resource
element of IAM permission policy statements. Each action in the
Actions table
identifies the resource types that can be specified with that action. A resource type can also define which condition keys you can include in a policy. These keys are displayed in the last column of the Resource types table. For details about the columns in the following table, see
Resource types table
.
| Resource types | ARN | Condition keys |
|---|---|---|
| project |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:project:$
{
ResourceId}
|
|
| run |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:run:$
{
ResourceId}
|
|
| job |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:job:$
{
ResourceId}
|
|
| suite |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:suite:$
{
ResourceId}
|
|
| test |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:test:$
{
ResourceId}
|
|
| upload |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:upload:$
{
ResourceId}
|
|
| artifact |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:artifact:$
{
ResourceId}
|
|
| sample |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:sample:$
{
ResourceId}
|
|
| networkprofile |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:networkprofile:$
{
ResourceId}
|
|
| deviceinstance |
arn:$
{
Partition}:devicefarm:$
{
Region}::deviceinstance:$
{
ResourceId}
|
|
| session |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:session:$
{
ResourceId}
|
|
| devicepool |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:devicepool:$
{
ResourceId}
|
|
| device |
arn:$
{
Partition}:devicefarm:$
{
Region}::device:$
{
ResourceId}
|
|
| instanceprofile |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:instanceprofile:$
{
ResourceId}
|
|
| vpceconfiguration |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:vpceconfiguration:$
{
ResourceId}
|
|
| testgrid-project |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:testgrid-project:$
{
ResourceId}
|
|
| testgrid-session |
arn:$
{
Partition}:devicefarm:$
{
Region}:$
{
Account}:testgrid-session:$
{
ResourceId}
|
Condition keys for AWS Device Farm
AWS Device Farm defines the following condition keys that can be used in the
Condition
element of an IAM policy. You can use these keys to further refine the conditions under which the policy statement applies. For details about the columns in the following table, see
Condition keys table
.
To view the global condition keys that are available to all services, see Available global condition keys .
| Condition keys | Description | Type |
|---|---|---|
| aws:RequestTag/${TagKey} | Filters actions based on the allowed set of values for each of the tags | String |
| aws:ResourceTag/${TagKey} | Filters actions based on tag-value assoicated with the resource | String |
| aws:TagKeys | Filters actions based on the presence of mandatory tags in the request | ArrayOfString |


Goploader
Because file sharing is meant to be easy
Introduction
This is a page about the
goploader
project. The philosophy of goploader is that it should be easy to share files from your terminal. If you want to share a file with a few of your friends for example.
This project is composed of a client and a server.  If you want people to use your service with the official client, they will have to modify
the ~/.config/goploader.conf.yml
file.
Features
- HTTPS only using Let's Encrypt and Caddy Server
- Upload directly from
stdin
. - Upload a file by giving it as an argument to the client.
- All files are encrypted upon reception and decrypted when served.
- The key to decrypt files is not saved on the server.
Current Limitations
- File size is limited to 20 Mo (20 MB)
- Files live for two hours only.
Client
Binary Downloads
Here are the download links for the client. For a more up to date version, consider installing
Go
on your computer and compile the client from the Github source code.
Archlinux
If you're running Archlinux, there is a goploader-client-git
package in AUR.
yaourt -S goploader-client-git
Thanks to krion for setting up the AUR package
Documentation
On the first run, goploader will try to read from ~/.config/goploader.conf.yml
. A default configuration will be written in this file if it can't be found. Also, if the ~/.config/
directory doesn't exist, it will be
created. This will be executed only once, you'll get a single line of log the first time you'll use the client.
Note : If you want to use another server than mine (a friend of yours installed the server or your own server), you'll have to edit this file to point to your service.
Here is a list of the accepted arguments of the client :
| Short | Long | Default | Description |
|---|---|---|---|
-c
|
--clipboard
|
false | Copies the returned URL directly to the clipboard (needs
xclip or
xsel ) |
-d
|
--delay
|
0 | Defines a delay before the program executes. In the form of
10s /
2m /etc… |
-n
|
--name
|
""
|
Specify the filename you want. This will be the filename of the file when downloading it or viewing it. When uploading a file, defaults to the name of the file. When uploading from stdin, defaults to
stdin . |
-p
|
--progress
|
false | Displays a progress bar while uploading the file. Shows ETA, current network speed, percentage and size uploaded. |
-s
|
--screenshot
|
false | Takes a screenshot and directly uploads it. Works nicely with the
delay option. Note : The import command must be available. |
-t
|
--tee
|
false | Displays the content on
stdout whever you read from
stdin or a file. |
-v
|
--verbose
|
false | Activates the debug logs. Useful for troubleshooting. |
-w
|
--window
|
false | When using the
screenshot , this option allows you to select a window or a zone to screenshot before uploading it. |
-l
|
--lifetime
|
1d | Define the lifetime of your file on the server. Basically you need to choose between 30m, 1h, 6h, 1d, 1w which are the equivalent for 30 minutes, 1 or 6 hours, 1 day, and 1 week. |
These options can be activated separately. For example
goploader --progress --delay="5s" myfile.txt
can be written
goploader -pd 5s myfile.txt
. All the short arguments can be concatenated on the condition that they are all boolean except the last one that can be a boolean or take a value.
Examples
Take a screenshot of the whole screen after 5 seconds, upload it with a progress bar and copy the returned URL to the clipboard :
$ goploader --progress --screenshot --delay="5s" --clipboard
Long Options
$ goploader -pscd 5s
Short Options
Select a windows or zone, screenshot that and upload it :
$ goploader --screenshot --window
Long Options
$ goploader -sw
Short Options
Upload a file with a progress bar :
$ goploader -p myfile
Argument
$ goploader -p
< myfile
Stdin
$ cat myfile | goploader -p
Stdin
Note : When the datasource is stdin, the total size of the file (or the total amount of text a command yields) can't be calculated
that's why the progress bar will only display the upload speed.
Curl
One of the main goal of goploader is the ease of use. That's also why the goploader server doesn't use a JSON API, to guarantee that any user can upload files painlessly.
For that reason, you can also don't use a client at all and simply upload your files with curl.
$ curl -F<EMAIL_ADDRESS>https://up.depado.eu/
Your file will be named myfile.txt
$ curl -F name="myamazingfile!" -F<EMAIL_ADDRESS>https://up.depado.eu/
Your file will be named myamazingfile!
$ cat myfile.txt | curl -F name="stdin" -F file=@- https://up.depado.eu/
Reads data from stdin
$ curl -F file=@- https://up.depado.eu/ < myfile.txt
Another way of uploading a file
$ curl -F file=@- -F duration=1w https://up.depado.eu/ < myfile.txt
Specify the lifetime of your file (one week in that example, see the client's documentation for all the avaiable options)
Server
Downloads
If you wish, you can install the
goploader
server. You can either compile it from the source code if you have a specific architecture or download the Linux 64-Bit or ARMv7 version with the link below.
Types of Downloads
- The “Standalone” distribution contains only a binary. All assets and templates (html files) are included directly in the binary. If you don't intend to modify those assets, this distribution is for you.
- The other distributions contains a binary for the server and the folders containing the assets so that you can freely modify them to your preferences. Please don't touch the footer though, giving credit to the author of the software helps a lot.
- “All Cross-Compiled Clients” can be used if you want to serve this very page and distribute the clients. Simply extract this archive so that the binaries are in the
goploader-server/releases/clients/
directory. - “All Servers Releases” can be used if you want to serve this very page and distribute the server. Simply extract this archive so that the included archives are placed in the
goploader-server/releases/servers/
directory.
You don't need to create a
conf.yml
file. If you run the server and the said file is absent or have missing fields, the server will enter setup mode in which you will be able to configure your server on a web page. It will then marshal the configuration
to the said
conf.yml
file and you will be able to run the server once again which will work as expected.
This very page is served by the goploader server itself. You can disable it by setting the fulldoc
option to false (while doing your setup or directly in the configuration file). After that you're free to modify the templates/welcome.html
to whatever you want.
If people want to use your service, they'll have to modify the configuration file that is created in their configuration directory : ~/.config/goploader.conf.yml
.
Setup
Web Setup
There are currently two ways of configuring a goploader server. You can either run the binary a first time and follow the setup instructions in your browser (it will first run on the 8008 port, so make sure this port is available).
./server --initial
Please go to http://<IP_ADDRESS>:8008 to setup goploader.
This step will generate a conf.yml
file next to your binary file. This is the configuration file of your service. You can freely modify it, keep in mind that you'll need to restart the service each you modify it so the changes
are applied.
The conf.yml
File
The other solution is to directly create a conf.yml
file next to the binary (or wherever you want, you can actually specify a configuration file with the -c (--conf)
flag.)
| Key | Description | Example Value |
|---|---|---|
name_server
|
The server name to use. This is used to return correct URLs to the clients. | up.depado.eu |
upload_dir
|
The local or absolute path where the files should be uploaded to. | up/ |
db
|
The local or absolute path of the database, along with its name. | goploader.db |
port
|
Port on which the server should listen. | 8003 |
uniuri_length
|
Length of the unique identifier for each uploaded file. | 10 |
size_limit
|
The maximum upload size the server should accept in Mo. | 20 |
fulldoc
|
Whether or not to display the full documentation of goploader (what you're reading right now). | true |
debug
|
Turn on and off the Gin debug mode. Useful to get more information if something goes wrong. | false |


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Thank you for scheduling time to meet with us to review your policies. To help make sure that our
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--- layout: paper headline: Publications title: 'Implementing Efficient Propagation Control' authors: 'Christian Schulte, Guido Tack' howpublished: > In: TRICS 2010, Third workshop on techniques for implementing constraint programming systems. 2010. link: pdf bibtex: > @InProceedings{SchulteTack:TRICS:2010, Author = "Christian Schulte and Guido Tack", Title = "Implementing Efficient Propagation Control", Booktitle = "TRICS 2010, Third workshop on techniques for implementing constraint programming systems", Year = 2010, } relation: > Explains propagator scheduling in the Gecode kernel shorthowpub: > TRICS 2010, Third workshop on techniques for implementing constraint programming systems, 2010. ---
In propagation-based constraint solvers, propagators implement constraints by removing inconsistent values from variable domains. To make propagation efficient, modern constraint solvers employ two mechanisms of propagation control, event-based and prioritized propagation. Events, such as a bounds change of a particular variable, control which propagators need to be scheduled for re-evaluation. Prioritization controls which of the scheduled propagators is executed next.
While it has been shown that the combination of event-based and priority-based scheduling is an efficient approach for propagation control, this is the first publication on the implementation details of such a system.
This paper presents the design of efficient data structures for propagator priority queues and the event system. The paper introduces the notions of modification events and propagation conditions, which refine the event-based model of propagation and yield an efficient implementation. The presented architecture is the basis of Gecode.


The examples below are each borken down in two parts. The first part shows a short version of the commands you might use in practice. This is followed by a step by step implementation to take some of the mystery out of the short version.
How to easily convert a name in “FAMILY, GIVEN” form to “GIVEN FAMILY” form?
Traditionally this can be done using a number of Unix commands such as echo and cut. If you break down the task into getting each name separately it is pretty easy using a couple shell variables.
NAME="Doiel, Robert"
GIVEN_FAMILY="$(echo -n "$NAME" | cut -d , -f 1) $(echo -n "$NAME" | cut -d , -f 2)"
echo "$FAMILY $GIVEN"
This uses the subshell syntax and two separate pipe lines. Let’s break it down by parts.
NAME="Doiel, Robert"
echo "Step 1: [$NAME]"
FAMILY_NAME=$(echo -n "$NAME" | cut -d , -f 1)
echo "Step 2: [$FAMILY_NAME]
GIVEN_NAME=$(echo -n "$NAME" | cut -d , -f 2)
echo "Step 3: [$GIVEN_NAME $FAMILY_NAME]"
Each pipeline builds up a name (family and given) and the final echo displays them.
NOTE: The trouble is this doesn’t give you what you want. Notice the leading space. You can fix that but that is just the start of the rabbit whole.
If we think about the family name and given name as elements of an array we can easily reorder them. In this approach we’ll use two commands. The string and jsoncols commands from datatools.
NAME="Doiel, Robert"
string split ", " "$NAME" | jsoncols -i - -d ' ' '.[0]' '.[1]'
First difference you’ll notice is we’re using an Unix pipe to send the output of one command to another. While you can eventually do that in the traditional approach it becomes very complicated very quickly. Using datatools it is easy to move from strings to JSON and back.
Let’s take the datatools approach and output the results of each step rather than using a pipeline.
NAME="Doiel, Robert"
echo "Step 1: [$NAME]"
JSON_ARRAY=$(string split ", " "$NAME")
echo "Step 2: $JSON_ARRAY"
GIVEN_FAMILY=$(jsoncols -d ' ' '.[0]' '.[1]' "$JSON_ARRAY")
echo "Step 3: [$GIVEN_FAMILY]"
NOTE: In this version there is no leading space issue. string command can split on multiple characters and in our case it is splitting on comma space not just on the comma like we get with cut.


About
I am Shivam Garg,
IInd year Undergraduate student,
at E.C.E
I am a sophomore CSE Undergraduate Student at Eshan College of Engineering. I get across to people and adjust to changes with ease. I believe that a person should work on developing their professional skills and learning new things all the time. Currently, I am Founder and Event Manager of TechTrek Community ,open for all students to scale up their growth.
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Blogging is the contribution of information to any media and most especially to digital media for an end-user/audience in specific contexts.
graphics and layouts for product illustrations, company logos and websites. determining size and arrangement of copy and illustrative material, as well as font style and size.
I have interpersonal skills, or skills that help them effectively collaborate. Professionals with teamwork skills understand how to accomplish tasks.
I'm adaptable to unpredictabile environments. I will respond proactively to new or challenging circumstances.
I'm skilled at communication skill & understand how to efficiently deliver information, exchange ideas and pay attention to the other person's message.
I can motivate, instruct and offer guidance,I'm confident in my abilities to help others work, collaborate, problem-solve or succeed.
>> I st year ~ CGPA : 9.1 {Topper of BTECh-1st year}
smart mirror features a digital display behind the mirror and can connect via Bluetooth , wifi . it gives you freedom to use which ever way you want to use , to watch movies , for updates like news ,date and time, for health-care , fitness so on.
Read More---- Thank You for visiting my Personal Portfolio . Connect with me Over Socials ----
I am Shivam Garg,
IInd year Undergraduate student,
at E.C.E
H.no-yyy A.V.c ,
Bodla,Agra
UttarPradesh,India
+91-123-456-7891
shivanshagarwal2020@gmail.com,


Everyone has a plan till they get hit in the mouth.
With Hurricane Harvey still fresh on everyone’s mind and Irma bearing down on the Florida Coast we thought it would be appropriate to talk about backups and more importantly offsite backups. Until recently, offsite backups meant costly tape libraries and rotation services or replicating a subset of your primary data center in a colo facility typically located less than twenty miles away. One of the first use cases for cloud infrastructure was for test/dev or backups. It would be nice if Veeam had the ability to back directly up to an S3 bucket, and if I had to put money on it, I have a sneaking suspicion that this feature might be coming in the near future. Until then, we have a few options. I also want to take the time and thank Taylor Riggan for his help and input on the AWS side of the house.
AWS Volume Gateway
The first iteration of the AWS Storage Gateway was presented as an iSCSI volume that could be locally mounted as another drive or mount point on your server. In order to utilize the gateway with Veeam you only had to create a new backup repository selecting the iSCSI drive on your server. The storage gateway appliance can be installed as a simple VMware OVA appliance and drives attached to it like you would with any other VM in your environment. A minimum of 2 drives is recommended for the appliance. One drive acts as a local cache for frequently accessed data and the other drive is a buffer for sending data to S3. Benefits of the volume gateway are as follows.
-
Can be mounted as a local drive on any server with iSCSI capabilities.
-
Utilized by Veeam as a local drive for backup repository
-
Supports EBS snapshots.
AWS Tape Gateway
The second offering of the storage gateway was a Virtual Tape Libary. Similar to the volume gateway the tape gateway is installed as a virtual appliance. Again, it utilizes a cache and buffer drive. If you’ve ever implemented a backup/DR solution for a client you know how difficult it can be to explain to them how backups work when they aren’t used to a tape rotation system. The tape gateway allows enterprises the ability to utilize existing tape backup software as well as fit into an existing tape rotation schedule. The tape gateway brings the following benefits to the table.
-
Presented to the Veeam server as an iSCSI tape device.
-
Utilize existing backup/tape retention schedule
-
Ability to archive virtual tapes to Amazon Glacier
AWS File Gateway
The latest offering of the storage gateway comes in the form of an NFS file share. AWS presents the S3 bucket through this file system and during backups there is a 1-1 mapping between files and objects. Similar to the Volume Gateway, the File Gateway keeps recently accessed data in a local cache and you have the ability to tier or archive stale data to Glacier. Because Veeam utilizes a proprietary NFS server for VPower features the NFS share must be mounted on a separate server that the main Veeam server. In our testing, mounting the share on a Linux server proved to be the past of least resistance. Additional benefits of the file gateway are as follows.
-
Store and retrieve S3 objects through a standard file system protocol (NFS).
-
Store frequently accessed data in a local cache.
-
Useful for migrating large filesystem to object based storage.
AWS Setup and Provisioning.
Since there are already plenty of good resources for configuring Veeam to backup to either the Volume or Tape gateway, we thought it would be more helpful to show the configuration for the File Gateway. AWS has a great Getting Started Guide on their site. We did want to point out a few gotcha’s that we ran into during setup.
- Select the right gateway
I know this might sound simple but at first, we were tempted to use the same ova gateway when we were testing the VTL and File gateway. Depending on what you select, the correct OVA appliance will be presented to download. The OVA name might look similar but they are distinctly different one you’ve configured them and you try to connect them to your AWS account.
- Thick provision cache/buffer disks
AWS recommends thick provisioning the cache and buffer disks because it can affect the performance of the gateway if using Thin Provisioning. During testing, I used thin provisioned disks that were based on thin provisioned NFS datastores on a NetApp array. I didn’t see any adverse effects but I could see how latency could become an issue if any link in the chain becomes resource constrained.
- Use Paravirtualized disk controllers on your gateway VM.
AWS requires that the gateway VM use paravirtualized disk controllers. This can be done by editing the settings of the gateway VM.
- Create S3 bucket before creating the gateway.
When provisioning the gateway it asks for the S3 bucket where you want to store your files. The S3 bucket MUST already exist and it will not create it for you. You might not have missed this step but it’s worth pointing out. Also, since S3 bucket names are in a global namespace, now would be a good time to create any buckets for projects that you want are working on or might work on in the future.
- Mount options.
Once you’ve created the file share, AWS is kind enough to provide you with the exact command to mount the share on your OS.
Veeam Setup and Provisioning
Once the gateway has been deployed and you’ve mounted it on your Linux host you can configure Veeam to utilize it as a backup repository.
- Linux Server as backup repository
Even though Server 2012 allows you to mount NFS shares we ran into some trouble when getting Veeam to recognize the share as a path that it could back up to. The NFS share mounted on a Linux host worked like a charm and is what we recommend for this type of architecture.
Once the backup repository has been configured you can point any of your Veeam backups to utilize S3 as your offsite storage or archive.
We can see this being used as a way to augment your current backup process with offsite backups to the cloud or as a way to provide offsite archiving capabilities without the capital expense of new hardware. Utilizing snapshots as your primary backups and offloading longer retention jobs to S3 through the file gateway provides an extremely efficient and robust backup solution.


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I am submiting this report at around 2:40 PM, at around 10:30 the previous night me and a few close friends decided to ingest some LSD for the night and have some fun. We ate 2 hits apeice and then watched Fargo. Towords the woodchipper scene the normal giggling and body chills set in. After it ended we smoked smoke pot and watched another movie. During this we were all sitting in the living room, which is also where my computer is located.
Being quite comfortable with psychoactives I was feeling fine and decided to see how a computer game would be. After activating the program I leaned back to zone out a little while it was loading. This is when somehow I became unconcious, apparantly falling to the floor. I say apparantly because I just remember my friends shouting my name and then waking up to me struggling to get back up. I had hit my head on the way down (in fact I am typing this with a large bruise above my right eye) and could feel my arms moving in that instant where I awoke.
I think the movement signifies an unconcious urge to protect myself seeing as how I had fallen to the floor. After collecting myself my first response was to ask everyone waht happened. The response I got was that I had just fallen out of the chair. This worries me alot.
In fact the main reason for my submission today is to possibly shed some light on this phenomena for me. I take no perscription medication and this has happened to me twice before on mushrooms as well. To me it is just as if I am sitting back enjoying my trip untill the rushes of feeling get really intense and I just fade out, regaining consciousness within a matter of seconds. Anyways today I feel fine and I am a man of good health so I suspect no serious damage but I fear that without any knowledge of how I black out I can not enjoy psychoactives anymore. Thank you and good day.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Album of woodblock prints of women and geishas Artist: Hirezaki Eiho, 1881-1970 Credit Line: Robert O. Muller Collection Accession Number: S2003.8.3752.13 Data Source: Freer Gallery of Art and Arthur M. Sackler Gallery


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Class FrameBasedFlow<T>
Abstract base class for frame-based (looping) execution flows.
Inheritance
System.Object
FrameBasedFlow<T>
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: x2net
Assembly: x2net.dll
Syntax
public abstract class FrameBasedFlow<T> : Flow where T : EventQueue, new()
Type Parameters
Constructors
|
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FrameBasedFlow()
Declaration
protected FrameBasedFlow()
|
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FrameBasedFlow(Boolean)
Declaration
protected FrameBasedFlow(bool withQueue)
Parameters
| Type |
Name |
Description |
| System.Boolean |
withQueue |
|
Fields
|
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queue
Declaration
Field Value
|
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syncRoot
Declaration
protected readonly object syncRoot
Field Value
| Type |
Description |
| System.Object |
|
|
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thread
Declaration
Field Value
| Type |
Description |
| System.Threading.Thread |
|
Properties
|
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Resolution
Declaration
public long Resolution { get; set; }
Property Value
| Type |
Description |
| System.Int64 |
|
|
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Time
Declaration
public Time Time { get; }
Property Value
Methods
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Begin()
Declaration
protected virtual void Begin()
|
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End()
Declaration
protected virtual void End()
|
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Feed(Event)
Declaration
public override void Feed(Event e)
Parameters
| Type |
Name |
Description |
| Event |
e |
|
Overrides
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OnHeartbeat()
Declaration
protected override void OnHeartbeat()
Overrides
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Start()
Declaration
public override Flow Start()
Returns
Overrides
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Stop()
Declaration
public override void Stop()
Overrides
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Update()
Declaration
protected abstract void Update()
Extension Methods


- GcmHelper - Class in com.gcm.client
-
Google Cloud Messaging Helper class
- GcmHelper.GcmMessageListener - Interface in com.gcm.client
-
Interface definition for a callback to be invoked when a downstream message is received from
the GCM server
- GcmHelper.GcmRegistrationListener - Interface in com.gcm.client
-
Interface definition for a callback to be invoked when a Google Cloud Messaging tokens for the
app changes.
- GcmMessagingListener - Class in com.gcm.client
-
- GcmMessagingListener() - Constructor for class com.gcm.client.GcmMessagingListener
-
- getAuthorizedEntity() - Method in class com.gcm.client.GcmHelper
-
Get the GCM Sender ID
- getInstance() - Static method in class com.gcm.client.GcmHelper
-
Retrieve an instance of the Google Cloud Messaging Helper class
- getPushToken(Context) - Method in class com.gcm.client.GcmHelper
-
Retrieve the push token
- getSubscribedTopics() - Method in class com.gcm.client.GcmHelper
-
Get a list of all subscribed topics.


Discussion:
The plan here is to write a Fortran 2003 program that utilizes the FFTW3 library to generate a Discretized Fast Fourier Transforms of arbitrary waveforms. To test the code we start with a function whose DFFT is easily identifiable by inspection, and then increase in complexity. SciLAB and Python+Numpy on Jupyter Notebook are used to generate the the time domain functions, time domain and frequency domain plots and discretized time domain data. The Fortran 2003 code is then run on the discretized time domain data and the results plotted with GNUPlot. A comparison is made to check the veracity of the Fortran 2003 code output.
Performance of Fortran 2003 DFFT Program for:
Sine Wave at 10Hz
Square Wave at 1Hz
Exponential Pulse of Time Constant 10 seconds
Sine Wave at 50Hz Generated with Python+Numpy on Jupyter Notebook
Two Sine Waves at 50Hz and 100Hz Generated with Python+Numpy on Jupyter Notebook
For the time domain data that is generated with SciLAB, the following datapath is utilized:
Discretized Fourier Transform of Arbitrary Signal Using FFTW3 Datapath
Python Script
Since the output of SciLAB is a comma separated value (CSV) file, a method is needed that will process
that file into another file, where the commas are removed and each data element is on a separate line.
This is most easily done using a Python script, with its powerful object-oriented file techniques and
its included CSV library. Additionaly, each data element is reformatted so that it is in fixed floating-point
format, with a decimal precision of 20 places. This is done so that the Fortran DFFT code can process
the data error-free. The Python script is shown below:
Processing of CSV file by Python script to strip commas and produce one data element per line
Python script that removes commas and produced one data element per line
Run by typing: ./convert_csv.py infile.csv outfile.dat
where infile.csv is the data file in CSV format, and outfile.dat is the processed file
Obtain the line count of the processed file by typing: wc -l outfile.dat
After the CSV file is processed into a suitable format, the following Fortran 2003 code is executed on it.
The Fortran 2003 code reads in the processed data and outputs the DFFT magnitude and phase, using the FFTW3
algorithm.
Fortran 2003 Code
Fortran 2003 Code to Perform Discretized Fast Fourier Transform on Processed File
Version 5
Fortran 2003 code that takes in parameters and performs DFFT to generate output file
Compile by typing: gfortran -o a.out data_file_FFTW_ver6.F03 -lfftw3
Run by typing: ./a.out outfile.dat DFFT_mag_file.dat DFFT_phase_file.dat sample_rate num_periods
where outfile.dat is the output of the Python script, DFFT_mag_file.dat is the DFFT magnitude file,
DFFT_phase_file.dat is the DFFT phase file,sample_rate is the rate of sampling of the input data file, and num_periods
is the number of periods of data in the input data file.
The line count can be obtained by typing: wc -l outfile.dat


How large of a group of people are you comfortable hanging around?
11-50
2-10
100+
0
How would you spend your ideal Saturday?
Theme Park
Taking nature photos
Volunteering
Laying on the beach
How frequently do you make new friends?
Once a month
Once a year
Once a day
Once a decade
How do you feel about competition?
I like team on team competition
I prefer one on one competition
I love any form of competition
I hate competition
How would you identify yourself from the following choices?
Athletic
Creative
Social
Solo
What do you find most appealing out of the following?
Running a marathon
Seeing an art exhibit
Planning a huge party
Learning a new language
How spontaneous are you?
A little bit
100% all the time
I like an even balance
Every part of my life is planned
Which of the following makes you feel the most rejuvinated?
A walk in the park
Crafting
Drinks with friends
Alone time
You're invited to a party! What do you do?
Jump on the dance floor
Become the DJ
Converse with strangers
Decline and watch Netflix at home
You're at a concert! What are you doing?
Moshing
Swaying with a lighter
Dancing and singing every lyric
Regretting not staying home


{% extends 'layouts/main.html' %} {% block title %}About{% endblock %} {% block content %}
Meet Blåhaj (Blaha), the soft toy shark from IKEA that has millions of fans around the world. The Swedish furniture brand first started selling the toy in stores a few years ago, but was recently convinced to relaunch it after fans petitioned for a comeback. The friendly-looking shark has now appeared in countless social media posts, and some have even created their own Instagram pages for their plushy pal.
It’s not clear what exactly makes this 1-meter-long shark so popular but Blåhaj arguably has a certain charismatic charm. In the online product description, IKEA says, “Big and safe to have at your side if you want to discover the world underneath the sea. The blue shark can swim very far, dive really deep and hear your heart beating from far away.” Just like a comfort animal, Blåhaj seems to be the perfect friend for when you just need a hug.
Among the many positive online reviews, one enthusiastic IKEA customer writes, “This guy is my favorite buddy in the bedroom […] We snuggle and have deep conversations about life and secrets […]  You will not regret it.”
{% endblock %}


Flappy the duck up for adoption at Langley animal shelter
It’s not just dogs and cats at the Aldergrove shelter
by Matthew ClaxtonThe Patti Dale Animal Shelter in Aldergrove is home to more than 100 cats and dogs, kittens and puppies – and one more unusual resident right now.
Flappy is a Muscovy duck who is up for adoption.
Originally identified as a female, Flappy was renamed after white plumage appeared at his throat, a sign he’s most likely male. A young duck, he has not been claimed by an owner, but was found wandering as a stray animal.
While the Langley Animal Protection Society mostly deals with domestic pets, the fact that Langley includes a large number of farms means the animal protection officers also have to pick up stray farm animals from time to time.
LAPS members have cared for multiple pigs – most recently an 800-pound porker named Theodore, who was eventually adopted out to a farm sanctuary in Duncan last year – but also ordinary livestock such as horses, cattle, and sheep, and even the odd emu over the years.
READ MORE: Langley’s 800-pound pig takes ferry to new Vancouver Island home
Most of the larger animals are reclaimed by their owners, or LAPS simply helps them round up the strays.
LAPS is now looking for a farm-type location for Flappy to live out his days.


Working on a piece of code which should work but it doesn't.
Simply stopping, taking a deep breath before reacting to stressful situation helps to handle the situation better. In some cases, when possible, observing intense feelings moving through the body but not sticking to it is also a great way of noticing, accepting and handling difficult situations. In situations when anger or stress is caused by another person, being able to stop, breathe and notice before reacting gives an opportunity to understand why the other person behaves in the way that might be annoying to us.


Snatch (2001) 3 stars out of 4. Starring Brad Pitt,Jason Statham, Stephen Graham, Dennis Farina, Benicio Del Toro, Vinnie Jones, Alan Ford, Rade Sherbedgia and Mike Reid. Written and directed by Guy Ritchie. Rated R.
Snatch is a rollicking, violent offbeat outing that will leave you gasping, laughing and perhaps a bit outraged. Written and directed by Guy Ritchie (yes, THAT Guy Ritchie), the movie covers similar ground to Ritchieís breakthrough film of last year, Lock, Stock and Two Smoking Barrels.
Both films deal with not-too-bright underworld factions battling and trying to double cross each other. Both are filled with mayhem and both contain a cockeyed humor that is infectious even as you watch bodies drop in droves.
Snatch plays like one of those old Warner Bros. crime dramas from the ë30s that so expertly melded gunplay with snappy patter. Only in Snatch, you really have to pay attention since the story is set in England and most of the cast speak quickly in those blue-collar British accents that takes a while to pick up.
Snatch ostensibly revolves around the theft of an 84-karat diamond in Antwerp by Franky Four Fingers (Benicio Del Toro) and some confederates.
The theft of the diamond sparks the interest of a number of low-life and not-very-nice characters with names such as Brick Top (Alan Ford), Avi (Dennis Farina), Bullet Tooth Tony (Vinnie Jones), Boris "The Blade" (Rade Sherbedgia) and Doug "The Head" (Mike Reid)
Others on the periphery include novice unlicensed fight promoter Turkish (Jason Statham), his partner, Tommy (Stephen Graham) and the Gypsy bare-knuckle fighter, Mickey O'Neil (Brad Pitt).
Ritchie unites these two worlds in his helter-skelter drama that seems to be going in all directions, yet folds together neatly at the finale.
One thing you can say about Ritchie, the man does not believe in a linear narrative. Snatch jumps from person to person, place to place, event to event without so much as a fade-out or iris.
Ritchie has a natural affinity for these mugs and thugs. He doesnít exactly treat them with respect or extol their virtues, but he does seem to be winking at his audience, saying, ìYea, theyíre bad, they rob, cheat and kill, but theyíre funny in a pathetic way.î
He does not glamorize them like Coppolaís Corleone family or Scorseseís Wise Guys. And that may be because in Ritchieís underworld, the gangsters are only half as smart as they think they are.
Snatchís plot contrivances and double-dealings are too convoluted to explain in print. Just take my word, that you will have a rousing good time at Snatch, even as you try to follow its various threads.
As for the performers, Statham keeps a level head as the promoter merely trying to stay alive; Pitt is nearly incomprehensible, jabbering rapidly with a brogue that would make Barry Fitzgerald blush; while Ford nearly steals the movie as the gangster kingpin-pig farmer who sometimes serves his animals some special feed in order to get rid of evidence.
Snatch is no Sunday picnic.  Yet it also has an innate, childish charm, almost a tongue-in-cheek quality in which Ritchie seems to be saying that none of what you are watching should be taken seriously. I know I didnít ó because I was too busy laughing.
Bob Bloom is the film critic at the Journal and Courier in Lafayette, IN. He can be reached by e-mail at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>Other reviews by Bloom can be found at www.jconline.com by clicking on golafayette. Reviews by Bloom also can be found on the Web at the Internet Movie Database site: http://www.imdb.com/M/reviews_by?Bob+Bloom
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Hi there, it's Liz!
Check this course!
DevOps with Docker
This page is brought by Apache running in docker.


22. GeoMesa Processes¶
The following analytic processes are available and optimized on GeoMesa
data stores, found in the geomesa-process
module:
- ArrowConversionProcess - encodes simple features in the Apache Arrow format
- BinConversionProcess - encodes simple features in a minimized 16-byte format
- DensityProcess - computes a density heatmap for a CQL query
- DateOffsetProcess - modifies the specified date field in a feature collection by an input time period.
- HashAttributeProcess/HashAttributeColorProcess - computes an additional ‘hash’ attribute which is useful for styling.
- JoinProcess - merges features from two different schemas using a common attribute field
- KNearestNeighborProcess - performs a KNN search
- Point2PointProcess - aggregates a collection of points into a collection of line segments
- ProximitySearchProcess - searches near a set input features
- QueryProcess - performs a Geomesa query, useful as input for nested requests
- RouteSearchProcess - matches features traveling along a given route
- SamplingProcess - uses statistical sampling to reduces the features returned by a query
- StatsProcess - returns various stats for a CQL query
- TrackLabelProcess - selects the last feature in a track based on a common attribute, useful for styling
- TubeSelectProcess - performs a correlated search across time and space
- UniqueProcess - identifies unique values for an attribute
Where possible, the calculations are pushed out to a distributed system for faster performance. Currently this has been implemented in the Accumulo data store and partially in the HBase data store. Other back-ends can still be used, but local processing will be used.
22.1. Installation¶
While they can be used independently, the common use case is to use them with GeoServer. To deploy them in GeoServer requires:
- a GeoMesa datastore plugin
- the GeoServer WPS extension
- the
geomesa-process-wps_2.11-<version>.jar
deployed in${GEOSERVER_HOME}/WEB-INF/lib
Note
Some processes also require custom output formats, available separately in the GPL licensed GeoMesa GeoServer WFS module
The GeoMesa datastore plugin and GeoMesa process jars are both available in the binary distribution in the gs-plugins directory.
Documentation about the GeoServer WPS Extension (including download instructions) is available here.
To verify the install, start GeoServer, and you should see a line like
INFO [geoserver.wps] - Found 15 bindable processes in GeoMesa Process Factory
.
In the GeoServer web UI, click ‘Demos’ and then ‘WPS request builder’. From the request builder, under ‘Choose Process’, click on any of the ‘geomesa:’ options to build up example requests and in some cases see results.
22.2. Processors¶
22.2.1. ArrowConversionProcess¶
The ArrowConversionProcess
converts an input feature collection to arrow format.
| Parameters | Description |
|---|---|
| features | Input feature collection to encode. |
| includeFids | Include feature IDs in arrow file. |
| dictionaryFields | Attributes to dictionary encode. |
| useCachedDictionaries | Use cached top-k stats (if available), or run a dynamic stats query to build dictionaries. |
| sortField | Attribute to sort by. |
| sortReverse | Reverse the default sort order. |
| batchSize | Number of features to include in each record batch. |
| doublePass | Build dictionaries first, then query results in a separate scan. |
22.2.2. BinConversionProcess¶
The BinConversionProcess
converts an input feature collection to BIN format.
| Parameters | Description |
|---|---|
| features | Input feature collection to query. |
| track | Track field to use for BIN records. |
| geom | Geometry field to use for BIN records. |
| dtg | Use cached top-k stats (if available), or run a dynamic stats query to build dictionaries. |
| label | Attribute to sort by. |
| axisOrder | Reverse the default sort order. |
22.2.3. DensityProcess¶
The DensityProcess
computes a density map over a set of features stored in GeoMesa. A raster image is returned.
| Parameters | Description |
|---|---|
| data | Input Simple Feature Collection to run the density process over. |
| radiusPixels | Radius of the density kernel in pixels. Controls the “fuzziness” of the density map. |
| weightAttr | Name of the attribute to use for data point weights. |
| outputBBOX | Bounding box and CRS of the output raster. |
| outputWidth | Width of the output raster in pixels. |
| outputHeight | Height of the output raster in pixels. |
22.2.4. DateOffsetProcess¶
The DateOffsetProcess
modifies the specified date field in a feature collection by an input time period.
| Parameters | Description |
|---|---|
| data | Input features. |
| dateField | The date attribute to modify. |
| timeOffset | Time offset (e.g. P1D). |
22.2.5. HashAttributeProcess¶
The HashAttributeProcess
adds an attribute to each SimpleFeature that hashes the configured attribute modulo the configured param.
| Parameters | Description |
|---|---|
| data | Input Simple Feature Collection to run the hash process over. |
| attribute | The attribute to hash on. |
| modulo | The divisor. |
<IP_ADDRESS>. Hash example (XML)¶
HashAttributeProcess_wps.xml
is a geoserver WPS call to the GeoMesa HashAttributeProcess. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
The query should generate results that look like this
:
{
"id" : "d0971735-f8fe-47ed-a7cd-2e12280e8ac1",
"geometry" : {
"coordinates" : [
151.1554,
18.2014
],
"type" : "Point"
},
"type" : "Feature",
"properties" : {
"Vitesse" : 614,
"Heading" : 244,
"Date" : "2016-05-02T18:00:44.030+0000",
"hash" : 237,
"CabId" : 150002,
}
}
22.2.6. HashAttributeColorProcess¶
The HashAttributeColorProcess
adds an attribute to each SimpleFeature that hashes the configured attribute modulo the configured param and emit a color.
| Parameters | Description |
|---|---|
| data | Input Simple Feature Collection to run the hash process over. |
| attribute | The attribute to hash on. |
| modulo | The divisor. |
22.2.7. JoinProcess¶
The JoinProcess
queries a feature type based on attributes from a second feature type.
| Parameters | Description |
|---|---|
| primary | Primary feature collection being queried. |
| secondary | Secondary feature collection to be joined. |
| joinAttribute | Attribute field to join on. |
| joinFilter | Additional filter to apply to joined features. |
| attributes | Attributes to return. Attribute names should be qualified with the schema name, e.g. foo.bar. |
22.2.8. KNearestNeighborProcess¶
The KNearestNeighborProcess
performs a K Nearest Neighbor search on a Geomesa feature collection using another feature collection as input. Return k neighbors for each point in the input data set. If a point is the nearest neighbor of multiple points of the input data set, it is returned only once.
| Parameters | Description |
|---|---|
| inputFeatures | Input feature collection that defines the KNN search. |
| dataFeatures | The data set to query for matching features. |
| numDesired | K : number of nearest neighbors to return. |
| estimatedDistance | Estimate of Search Distance in meters for K neighbors—used to set the granularity of the search. |
| maxSearchDistance | Maximum search distance in meters—used to prevent runaway queries of the entire table. |
<IP_ADDRESS>. K-Nearest-Neighbor example (XML)¶
KNNProcess_wps.xml
is a geoserver WPS call to the GeoMesa KNearestNeighborProcess. It is here chained with a Query process (see Chaining Processes) in order to avoid points related to the same Id to be matched by the request. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
22.2.9. Point2PointProcess¶
The Point2PointProcess
aggregates a collection of points into a collection of line segments.
| Parameters | Description |
|---|---|
| data | Input feature collection. |
| groupingField | Field on which to group. |
| sortField | Field on which to sort (must be Date type). |
| minimumNumberOfPoints | Minimum number of points. |
| breakOnDay | Break connections on day marks. |
| filterSingularPoints | Filter out segments that fall on the same point. |
<IP_ADDRESS>. Point2Point example (XML)¶
Point2PointProcess_wps.xml
is a geoserver WPS call to the GeoMesa Point2PointProcess. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
The query should generate results that look like this
:
{
"id" : "367152240-4",
"geometry" : {
"coordinates" : [
[
-13.4041,
37.8067
],
[
-13.4041,
37.8068
]
],
"type" : "LineString"
},
"type" : "Feature",
"properties" : {
"Date_end" : "2018-02-05T14:54:36.598+0000",
"CabId" : 367152240,
"Date_start" : "2018-02-05T14:53:58.078+0000"
}
}
22.2.10. ProximitySearchProcess¶
The ProximitySearchProcess
performs a proximity search on a Geomesa feature collection using another feature collection as input.
| Parameters | Description |
|---|---|
| inputFeatures | Input feature collection that defines the proximity search. |
| dataFeatures | The data set to query for matching features. |
| bufferDistance | Buffer size in meters. |
<IP_ADDRESS>. Proximity search example (XML)¶
ProximitySearchProcess_wps.xml
is a geoserver WPS call to the GeoMesa ProximitySearchProcess. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
22.2.11. RouteSearchProcess¶
The RouteSearchProcess
finds features around a route that are heading along the route and not just crossing over it.
| Parameters | Description |
|---|---|
| features | Input feature collection to query. |
| routes | Routes to search along. Features must have a geometry of LineString. |
| bufferSize | Buffer size (in meters) to search around the route. |
| headingThreshold | Threshold for comparing headings, in degrees. |
| routeGeomField | Attribute that will be examined for routes to match. Must be a LineString. |
| geomField | Attribute that will be examined for route matching. |
| bidirectional | Consider the direction of the route or just the path of the route. |
| headingField | Attribute that will be examined for heading in the input features. If not provided, input features geometries must be LineStrings. |
<IP_ADDRESS>. Route search example (XML)¶
RouteSearchProcess_wps.xml
is a geoserver WPS call to the GeoMesa RouteSearchProcess. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
22.2.12. SamplingProcess¶
The SamplingProcess
uses statistical sampling to reduces the features returned by a query.
| Parameters | Description |
|---|---|
| data | Input features. |
| samplePercent | Percent of features to return, between 0 and 1. |
| threadBy | Attribute field to link associated features for sampling. |
<IP_ADDRESS>. Sampling example (XML)¶
SamplingProcess_wps.xml
is a geoserver WPS call to the GeoMesa SamplingProcess. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
22.2.13. StatsProcess¶
The StatsProcess
allows the running of statistics on a given feature set.
| Parameters | Description |
|---|---|
| features | The feature set on which to query. Can be a raw text input, reference to a remote URL, a subquery or a vector layer. |
| statString | Stat string indicating which stats to instantiate. More info here Stat Strings. |
| encode | Return the values encoded as json. Must be true or false ; empty values will not work. |
| properties | The properties / transforms to apply before gathering stats. |
<IP_ADDRESS>. Stat Strings¶
Stat strings are a GeoMesa domain specific language (DSL) that allows the specification of stats for the iterators to collect. The available stat function are listed below:
Note
Items marked with *
are the name of an attribute, either in your sft or as the result of a transformation or projection.
Note
A TimePeriod is defined as one of the following strings: “day”, “week”, “month”, “year”
| Syntax | Parameters | Description |
|---|---|---|
| Count | ||
Count() |
Counts the number of features. | |
| MinMax | ||
MinMax(attribute) |
|
Finds the min and max values of the given attribute. |
| GroupBy | ||
GroupBy(attribute,stat) |
|
Groups stats by the given attribute and then runs the given stat on each group. Any stat can be provided. |
| Descriptive Stats | ||
DescriptiveStats(attribute) |
|
Runs single pass stats on the given attribute calculating stats describing the attribute such as: count; min; max; mean; and population and sample versions of variance, standard deviation, kurtosis, excess kurtosis, covariance, and correlation. |
| Enumeration | ||
Enumeration(attribute) |
|
Enumerates the values in the give attribute and the number of occurrences. |
| TopK | ||
TopK(attribute) |
|
TopK of the given attribute |
| Histogram | ||
Histogram(attribute,numBins,lower,upper) |
|
Provides a histogram of the given attribute, binning the results into a binned array using the numBins as the number of bins and lower and upper as the bounds of the binned array. |
| Frequency | ||
Frequency(attribute,dtg,period,precision) |
|
Estimates frequency counts at scale. |
| z3Histogram | ||
Z3Histogram(geom,dtg,period,length) |
|
Provides a histogram similar to Histogram but
treats the geometry and date attributes as a single
value. |
| z3Frequency | ||
Z3Frequency(geom,dtg,period,precision) |
|
Provides a freqency estimate similar to Frequency
but treats the geometry and date attributes as a
single value. |
| Iterator Stack | ||
IteratorStackCount() |
IteratorStackCount keeps track of the number of times Accumulo sets up an iterator stack as a result of a query. |
22.2.14. TrackLabelProcess¶
The TrackLabelProcess
returns a single feature that is the head of a track of related simple features.
| Parameters | Description |
|---|---|
| data | Input features. |
| track | Track attribute to use for grouping features. |
| dtg | Date attribute to use for ordering tracks. |
<IP_ADDRESS>. TrackLabel example (XML)¶
TrackLabelProcess_wps.xml
is a geoserver WPS call to the GeoMesa TrackLabelProcess. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
22.2.15. TubeSelectProcess¶
The TubeSelectProcess
performs a tube select on a Geomesa feature collection based on another feature collection. To get more informations on TubeSelectProcess
and how to use it, you can read this tutorial.
| Parameters | Description |
|---|---|
| tubeFeatures | Input feature collection (must have geometry and datetime). |
| featureCollection | The data set to query for matching features. |
| filter | The filter to apply to the featureCollection. |
| maxSpeed | Max speed of the object in m/s for nofill & line gapfill methods. |
| maxTime | Time as seconds for nofill & line gapfill methods. |
| bufferSize | Buffer size in meters to use instead of maxSpeed/maxTime calculation. |
| maxBins | Number of bins to use for breaking up query into individual queries. |
| gapFill | Method of filling gap (nofill, line). |
<IP_ADDRESS>. TubeSelect example (XML)¶
TubeSelectProcess_wps.xml
is a geoserver WPS call to the GeoMesa TubeSelectProcess. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
22.2.16. QueryProcess¶
The QueryProcess
takes an (E)CQL query/filter for a given feature set as a text object and returns
the result as a json object.
| Parameters | Description |
|---|---|
| features |
|
| filter |
<wps:ComplexData mimeType="text/plain; subtype=cql">
<![CDATA[some-query-text]]
</wps:ComplexData>
|
| output |
<wps:ResponseForm>
<wps:RawDataOutput mimeType="application/json">
<ows:Identifier>result</ows:Identifier>
</wps:RawDataOutput>
</wps:ResponseForm>
For interactive WPS request builder check the Generate box and choose “application/json” |
| properties | The properties / transforms to apply before gathering stats. |
<IP_ADDRESS>. Query example (XML)¶
QueryProcess_wps.xml
is a geoserver WPS call to the GeoMesa QueryProcess that performs the same query shown
in the Accumulo-quickstart. It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
The query should generate results that look like this
:
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-76.513,
-37.4941
]
},
"properties": {
"Who": "Bierce",
"What": 931,
"When": "2014-07-04T22:25:38.000+0000"
},
"id": "Observation.931"
}
]
}
22.2.17. UniqueProcess¶
The UniqueProcess
class is optimized for GeoMesa to find unique attributes values for a feature collection,
which are returned as a json object.
| Parameters | Description |
|---|---|
| features |
|
| attribute |
|
| filter |
<wps:ComplexData mimeType="text/plain; subtype=cql">
<![CDATA[some-query-text]]
</wps:ComplexData>
|
| histogram |
|
| sort |
|
| sortByCount |
|
| output |
<wps:ResponseForm>
<wps:RawDataOutput mimeType="application/json">
<ows:Identifier>result</ows:Identifier>
</wps:RawDataOutput>
</wps:ResponseForm>
For interactive WPS request builder check the Generate box and choose “application/json” |
<IP_ADDRESS>. Unique example (XML)¶
UniqueProcess_wps.xml
is a geoserver WPS call to the GeoMesa UniqueProcess that reports the unique names
in in the ‘Who’ field of the Accumulo quickstart data for a restricted bounding box (-77.5, -37.5, -76.5, -36.5)). It can be run with the following curl call:
curl -v -u admin:geoserver -H "Content-Type: text/xml"<EMAIL_ADDRESS>localhost:8080/geoserver/wps
The query should generate results that look like this:
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {
"value": "Addams",
"count": 37
},
"id": "fid--21d4eb0_15b68e0e8ca_-7fd6"
},
{
"type": "Feature",
"properties": {
"value": "Bierce",
"count": 43
},
"id": "fid--21d4eb0_15b68e0e8ca_-7fd5"
},
{
"type": "Feature",
"properties": {
"value": "Clemens",
"count": 48
},
"id": "fid--21d4eb0_15b68e0e8ca_-7fd4"
}
]
}
22.2.18. Chaining Processes¶
WPS processes can be chained, using the result of one process as the input for another. For example, a bounding box
in a GeoMesa QueryProcess can be used to restrict data sent to StatsProcess.
GeoMesa_WPS_chain_example.xml
will get all points from
the AccumuloQuickStart table that are within a specified bounding box (-77.5, -37.5, -76.5, -36.5), and calculate
descriptive statistics on the ‘What’ attribute of the results.
The query should generate results that look like this:
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
0,
0
]
},
"properties": {
"stats": "{\"count\":128,\"minimum\":[29.0],\"maximum\":[991.0],\"mean\":[508.5781249999999],\"population_variance\":[85116.25952148438],\"population_standard_deviation\":[291.74691004616375],\"population_skewness\":[-0.11170819256679464],\"population_kurtosis\":[1.7823482287566166],\"population_excess_kurtosis\":[-1.2176517712433834],\"sample_variance\":[85786.46628937007],\"sample_standard_deviation\":[292.893267743337],\"sample_skewness\":[-0.11303718280959842],\"sample_kurtosis\":[1.8519712064424219],\"sample_excess_kurtosis\":[-1.1480287935575781],\"population_covariance\":[85116.25952148438],\"population_correlation\":[1.0],\"sample_covariance\":[85786.46628937007],\"sample_correlation\":[1.0]}"
},
"id": "stat"
}
]
}


{% extends 'layout.html' %} {% block pageTitle %} Smaller checkboxes and radios - Design system testing {% endblock %} {% block beforeContent %} {{ breadcrumb({ href: "/", text: "Home" }) }} {% endblock %} {% block content %}
The design and code is based on the GOV.UK Design System checkboxes and radios.
Use standard-sized checkboxes in nearly all cases. However, smaller versions work well on pages where it’s helpful to make them less visually prominent.
For example, on a page of search results, the primary user need is to see the results. Using smaller checkboxes lets users see and change search filters without distracting them from the main content.
Small checkboxes can work well on information dense screens in services designed for repeat use, like professional facing systems.
In services like these, the risk that they will not be noticed is lower because users return to the screen multiple times.
Use standard-sized radios in nearly all cases. However, smaller versions work well on pages where it’s helpful to make them less visually prominent.
For example, on a page of search results, the primary user need is to see the results. Using smaller radios lets users see and change search filters without distracting them from the main content.
Small radios can work well on information dense screens in services designed for repeat use, like professional facing systems.
In services like these, the risk that they will not be noticed is lower because users return to the screen multiple times.
The code can be found in the design system testing GitHub repo and copied into your prototype:
Help the community by sharing in the backlog issue how the design tested.
{{ backLink({ "href": "/", "text": "Go back", "classes": "nhsuk-u-margin-top-7" }) }}


Lanterns
问题描述 :
Alice has received a beautiful present from Bob. The present contains n lanterns and m switches. Each switch controls some lanterns and pushing the switch will change the state of all lanterns it controls from off to on or from on to off. A lantern may be controlled by many switches.
Alice wants to change the state of the lanterns to some specific configurations and she knows that pushing a switch more than once is pointless. Help Alice to find out the number of ways she can achieve the goal. Two ways are different if and only if the sets (including the empty set) of the switches been pushed are different.
输入:
The first line contains an integer T (T<=5) indicating the number of test cases.
The first line of each test case contains an integer n (1<=n<=50) and m (1<=m<=50).
Then m lines follow. Each line contains an integer k (k<=n) indicating the number of lanterns this switch controls.
Then k integers follow between 1 and n inclusive indicating the lantern controlled by this switch.
The next line contains an integer Q (1<=Q<=1000) represent the number of queries of this test case.
Q lines follows. Each line contains n integers and the i-th integer indicating that the state (1 for on and 0 for off) of the i-th lantern of this query.
The first line of each test case contains an integer n (1<=n<=50) and m (1<=m<=50).
Then m lines follow. Each line contains an integer k (k<=n) indicating the number of lanterns this switch controls.
Then k integers follow between 1 and n inclusive indicating the lantern controlled by this switch.
The next line contains an integer Q (1<=Q<=1000) represent the number of queries of this test case.
Q lines follows. Each line contains n integers and the i-th integer indicating that the state (1 for on and 0 for off) of the i-th lantern of this query.
输出:
The first line contains an integer T (T<=5) indicating the number of test cases.
The first line of each test case contains an integer n (1<=n<=50) and m (1<=m<=50).
Then m lines follow. Each line contains an integer k (k<=n) indicating the number of lanterns this switch controls.
Then k integers follow between 1 and n inclusive indicating the lantern controlled by this switch.
The next line contains an integer Q (1<=Q<=1000) represent the number of queries of this test case.
Q lines follows. Each line contains n integers and the i-th integer indicating that the state (1 for on and 0 for off) of the i-th lantern of this query.
The first line of each test case contains an integer n (1<=n<=50) and m (1<=m<=50).
Then m lines follow. Each line contains an integer k (k<=n) indicating the number of lanterns this switch controls.
Then k integers follow between 1 and n inclusive indicating the lantern controlled by this switch.
The next line contains an integer Q (1<=Q<=1000) represent the number of queries of this test case.
Q lines follows. Each line contains n integers and the i-th integer indicating that the state (1 for on and 0 for off) of the i-th lantern of this query.
样例输入:
2 3 2 2 1 2 2 1 3 2 0 1 1 1 1 1 3 3 0 0 0 2 0 0 0 1 0 0
样例输出:
Case 1: 1 0 Case 2: 8 0
某种排序下的01背包，直接01背包肯定是错的，因为题目加了一些限制，需按q-p 从小到大将物品排序，至于为什么还是不清楚
View Code
#include<iostream> #include<algorithm> using namespace std; int dp[5005]; struct good { int p,q,v; }g[505]; bool cmp(good a,good b) { return a.q-a.p<b.q-b.p; } int main() { int n,m; while(scanf("%d %d",&n,&m)==2) { for(int i=0;i<n;i++) scanf("%d %d %d",&g[i].p,&g[i].q,&g[i].v); sort(g,g+n,cmp); memset(dp,0,sizeof(dp)); for(int i=0;i<n;i++) { for(int j=m;j>=0;j--) { if(j<g[i].q || j-g[i].p<0) continue; dp[j]=max(dp[j],dp[j-g[i].p]+g[i].v); } } int ans=0; for(int i=0;i<=m;i++) if(dp[i]>ans) ans=dp[i]; printf("%d\n",ans); } return 0; }
参考：http://www.cnblogs.com/nanke/archive/2012/02/12/2347621.html
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快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
快来，这里有人卖萌，太TM可耻了。
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector
真心不错，力顶作者
a是根先忽略掉，递归子树。剩下前缀bejkcfghid和后缀jkebfghicd，分拆的原则的是每个子树前缀和后缀的节点个数是一样的，根节点出现在前缀的第一个，后缀的最后一个。根节点b出现后缀的第四个位置，则第一部分为四个节点，前缀bejk，后缀jkeb，剩下的c出现在后缀的倒数第2个，就划分为cfghi和 fghic，第3部分就为c、c
为什么暴力求解方法循环到sqrt(n) 就可以了呢
remove没有实现
程序是错的吧，明显没有判断不和该节点相邻的其他节点是否相互相邻
为什么暴力求解方法循环到sqrt(n) 就可以了呢
先从简单的做起，归并排序，二叉树相关的遍历等


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CIX say 'Hello' in blue group & Hyunsuk's teaser images
by germainejCIX have revealed more teaser images for their upcoming second EP album 'Hello, Strange Place'.
In their latest teasers, Hyunsuk and the group members continue the blue theme as they stand against the sky in school uniforms. Fans can expect an album preview next on November 8 KST, while 'Hello, Strange Place' drops on November 19.
What do you think of CIX's concept for 'Hello, Strange Place'?