|
|
|
|
TeamDrive has a flexible licensing plan to fit all installation sizes.
TeamDrive Server and Client
| Users |
Price |
| 5 |
$325 |
| 10 |
$600 |
| 100 |
$5,500 |
| 1000 |
$50,000 |
| 1000+ |
$2 per user, per month |
| Unlimited |
$300,000 |
TeamDrive Client Only
| Users |
Price |
| 1 |
$49 |
| 5 |
$200 |
| 10 |
$350 |
| 100 |
$3,000 |
| 1000 |
$25,000 |
| 1000+ |
$1 per user per month |
| Unlimited |
$150,000 |
Notes:
- Users are "named", not concurrent, users
- Additional users can be added later
- These prices are for license
s
purchased at one time,
and are not cumulative
TeamDrive Co-Brand customization is $500 for TeamDrive servers, $1500 for others
TeamDrive Co-Brand customization is free with purchase of a 100-user or higher licenses
Unlimited licenses can be used for one service or one corporate location
Once 1000 users have been purchased, it is possible to pay for additional users on a per user/per month basis of $1.00 for the client only and
$2.00 for the client and server
After 60 days, maintenance is 15% per year of the one-time license fees. (Per-user, per-month fees include
maintenance)
These prices are subject to change without notice.
Contact: Max Dunn
408-260-2600 x203
<EMAIL_ADDRESS>|
|
|
|
TeamDrive Pricing Highlights |
| Overview |
| TeamDrive has been priced to be cost effective for both small and large installations. |
| Increasing Users |
| Users can
be increased at any time. For instance, if the 100-user license is
initially purchased and later 200 are needed, simply purchase
another 100-user license. |
| 1000+ Options |
| After a 1000 user license is purchased, there is the option of buying additional
licenses on a per-user, per-month basis. For instance, if a 3000 users need to be supported, one
1000 user license could be purchased and then the additional users would be $4,000 per month. Or,
if desired, three 1000-user licenses could be purchased. |
| Server and Client Advantage |
|
When the TeamDrive Server is used with the Client, the following features are available:
- Encryption
- Compression
- Sharing
- Locking
- Versioning
Note: Some of these features may be
available with other servers. |
| Client Only |
| The TeamDrive Client can be used with FTP, WebDAV or supported Online Storage Services like
Xythos, MyDocsOnline, bigVAULT, etc. |
| Co-Brand Customization |
| With the purchase of at least a 100-user license, the TeamDrive
Client will be co-branded with your graphic and service information for no additional charge. This
makes it look like "your" program and allows users to connect to your service by just entering
their username and password. |
|


Introduction
Welcome to the Kittn API! You can use our API to can get information on various cats, kittens, and breeds in our database.
This example API documentation page was borrowed from Slate and generated with Pastel. Feel free to edit it and use it as a base for your own API's documentation.
Authentication
To authorize, use this code:
# With PHP, you can pass in the correct header with each request
$client = new \GuzzleHttp\Client();
$response = $client->get(
"api_endpoint_here",
[
'headers' => [
'Authorization' => 'meowmeowmeow',
],
]
);
$body = $response->getBody();
print_r(json_decode((string) $body));
import kittn
api = kittn.authorize('meowmeowmeow')
# With Bash, you pass in the correct header with each request
curl "api_endpoint_here"
-H "Authorization: meowmeowmeow"
const kittn = require('kittn');
let api = kittn.authorize('meowmeowmeow');
Make sure to replace
meowmeowmeow
with your API key.
Kittn uses API keys to allow access to the API. You can register a new Kittn API key at our developer portal.
Kittn expects the API key to be included in all API requests to the server in a header that looks like the following:
Authorization: meowmeowmeow
Kittens
Get All Kittens
$client = new \GuzzleHttp\Client();
$response = $client->get("http://example.com/kittens/");
$body = $response->getBody();
print_r(json_decode((string) $body));
import kittn
api = kittn.authorize('meowmeowmeow')
api.kittens.get()
curl "http://example.com/api/kittens"
-H "Authorization: meowmeowmeow"
const kittn = require('kittn');
let api = kittn.authorize('meowmeowmeow');
let kittens = api.kittens.get();
The above command returns JSON structured like this:
[
{
"id": 1,
"name": "Fluffums",
"breed": "calico",
"fluffiness": 6,
"cuteness": 7
},
{
"id": 2,
"name": "Max",
"breed": "unknown",
"fluffiness": 5,
"cuteness": 10
}
]
This endpoint retrieves all kittens.
HTTP Request
GET http://example.com/api/kittens
Query Parameters
include_cats
Default: false
If set to true, the result will also include cats.
available
Default: true
If set to false, the result will include kittens that have already been adopted.
Get a Specific Kitten
$client = new \GuzzleHttp\Client();
$response = $client->get('http://example.com/kittens/2');
$body = $response->getBody();
print_r(json_decode((string) $body));
import kittn
api = kittn.authorize('meowmeowmeow')
api.kittens.get(2)
curl "http://example.com/api/kittens/2"
-H "Authorization: meowmeowmeow"
const kittn = require('kittn');
let api = kittn.authorize('meowmeowmeow');
let max = api.kittens.get(2);
The above command returns JSON structured like this:
{
"id": 2,
"name": "Max",
"breed": "unknown",
"fluffiness": 5,
"cuteness": 10
}
This endpoint retrieves a specific kitten.
HTTP Request
GET http://example.com/kittens/<ID>
URL Parameters
ID
The ID of the kitten to retrieve.
Delete a Specific Kitten
$client = new \GuzzleHttp\Client();
$response = $client->delete('http://example.com/kittens/2');
$body = $response->getBody();
print_r(json_decode((string) $body));
import kittn
api = kittn.authorize('meowmeowmeow')
api.kittens.delete(2)
curl "http://example.com/api/kittens/2"
-X DELETE
-H "Authorization: meowmeowmeow"
const kittn = require('kittn');
let api = kittn.authorize('meowmeowmeow');
let max = api.kittens.delete(2);
The above command returns JSON structured like this:
{
"id": 2,
"deleted" : ":("
}
This endpoint deletes a specific kitten.
HTTP Request
DELETE http://example.com/kittens/<ID>
URL Parameters
ID
The ID of the kitten to delete.
Errors
The Kittn API uses the following error codes:
| Error Code | Meaning |
|---|---|
| 400 | Bad Request -- Your request is invalid. |
| 401 | Unauthorized -- Your API key is wrong. |
| 403 | Forbidden -- The kitten requested is hidden for administrators only. |
| 404 | Not Found -- The specified kitten could not be found. |
| 405 | Method Not Allowed -- You tried to access a kitten with an invalid method. |
| 406 | Not Acceptable -- You requested a format that isn't json. |
| 410 | Gone -- The kitten requested has been removed from our servers. |
| 418 | I'm a teapot. |
| 429 | Too Many Requests -- You're requesting too many kittens! Slow down! |
| 500 | Internal Server Error -- We had a problem with our server. Try again later. |
| 503 | Service Unavailable -- We're temporarily offline for maintenance. Please try again later. |


{% extends "registration/base.html" %} {% load i18n %} {% block head_title %}{% trans "Password Reset" %}{% endblock %} {% block account_box %}
{% blocktrans %}We have sent you an email. If you do not receive it within a few minutes, contact the site administrator. {% endblocktrans %}


public class __MetricV2
extends java.lang.Object
org.deidentifier.arx.metric.Metric for creating instances of metrics for information loss.
| Constructor and Description |
|---|
__MetricV2() |
| Modifier and Type | Method and Description |
|---|---|
static Metric<ILSingleDimensional> |
createAECSMetric()
Creates a new instance of the AECS metric.
|
static Metric<ILSingleDimensional> |
createAECSMetric(double gsFactor)
Creates a new instance of the AECS metric.
|
static Metric<ILSingleDimensional> |
createAECSMetric(int rowCount)
Creates a new instance of the AECS metric.
|
static Metric<ILSingleDimensional> |
createAmbiguityMetric()
Creates an instance of the ambiguity metric.
|
static Metric<ILSingleDimensional> |
createDiscernabilityMetric()
Creates an instance of the discernability metric.
|
static Metric<ILSingleDimensional> |
createDiscernabilityMetric(boolean monotonic)
Creates an instance of the discernability metric.
|
static Metric<ILSingleDimensional> |
createDiscernabilityMetric(boolean monotonic,
double numTuples)
Creates an instance of the discernability metric.
|
static Metric<AbstractILMultiDimensional> |
createEntropyMetric()
Creates an instance of the non-monotonic non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createEntropyMetric(boolean monotonic)
Creates an instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createEntropyMetric(boolean monotonic,
double gsFactor)
Creates an instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createEntropyMetric(boolean monotonic,
double[][] cache,
int[][][] cardinalities,
int[][][] hierarchies)
Creates an instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createEntropyMetric(boolean monotonic,
double gsFactor,
Metric.AggregateFunction function)
Creates an instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createEntropyMetric(boolean monotonic,
Metric.AggregateFunction function)
Creates an instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createEntropyMetric(double gsFactor)
Creates an instance of the non-monotonic non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createHeightMetric()
Creates an instance of the height metric.
|
static Metric<AbstractILMultiDimensional> |
createHeightMetric(int minHeight,
int maxHeight)
Creates an instance of the height metric.
|
static Metric<AbstractILMultiDimensional> |
createHeightMetric(Metric.AggregateFunction function)
Creates an instance of the height metric.
|
static InformationLoss<?> |
createILMultiDimensionalArithmeticMean(double value)
Helper method.
|
static InformationLoss<?> |
createILMultiDimensionalSum(double value)
Helper method.
|
static InformationLoss<?> |
createILSingleDimensional(double value)
Helper method.
|
static Metric<ILSingleDimensional> |
createKLDivergenceMetric()
Creates an instance of the KL Divergence metric.
|
static Metric<AbstractILMultiDimensional> |
createLossMetric()
Creates an instance of the loss metric which treats generalization and suppression equally.
|
static Metric<AbstractILMultiDimensional> |
createLossMetric(double gsFactor)
Creates an instance of the loss metric with factors for weighting generalization and suppression.
|
static Metric<AbstractILMultiDimensional> |
createLossMetric(double gsFactor,
Metric.AggregateFunction function)
Creates an instance of the loss metric with factors for weighting generalization and suppression.
|
static Metric<AbstractILMultiDimensional> |
createLossMetric(Metric.AggregateFunction function)
Creates an instance of the loss metric which treats generalization and suppression equally.
|
static Metric<AbstractILMultiDimensional> |
createNormalizedEntropyMetric()
Creates an instance of the normalized entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createNormalizedEntropyMetric(Metric.AggregateFunction function)
Creates an instance of the normalized entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric()
Creates an instance of the non-monotonic precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(boolean monotonic)
Creates an instance of the precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(boolean monotonic,
double gsFactor)
Creates an instance of the precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(boolean monotonic,
double gsFactor,
Metric.AggregateFunction function)
Creates an instance of the precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(boolean monotonic,
int[] heights,
double cells)
Creates an instance of the precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(boolean monotonic,
Metric.AggregateFunction function)
Creates an instance of the precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(double gsFactor)
Creates an instance of the non-monotonic precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(double gsFactor,
Metric.AggregateFunction function)
Creates an instance of the non-monotonic precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecisionMetric(Metric.AggregateFunction function)
Creates an instance of the non-monotonic precision metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedEntropyMetric(double threshold)
Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedEntropyMetric(double threshold,
boolean monotonic)
Creates a potentially precomputed instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedEntropyMetric(double threshold,
boolean monotonic,
double gsFactor)
Creates a potentially precomputed instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedEntropyMetric(double threshold,
boolean monotonic,
double gsFactor,
Metric.AggregateFunction function)
Creates a potentially precomputed instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedEntropyMetric(double threshold,
boolean monotonic,
Metric.AggregateFunction function)
Creates a potentially precomputed instance of the non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedEntropyMetric(double threshold,
double gsFactor)
Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedLossMetric(double threshold)
Creates a potentially precomputed instance of the loss metric which treats generalization
and suppression equally.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedLossMetric(double threshold,
double gsFactor)
Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedLossMetric(double threshold,
double gsFactor,
Metric.AggregateFunction function)
Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedLossMetric(double threshold,
Metric.AggregateFunction function)
Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedNormalizedEntropyMetric(double threshold)
Creates a potentially precomputed instance of the normalized entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createPrecomputedNormalizedEntropyMetric(double threshold,
Metric.AggregateFunction function)
Creates a potentially precomputed instance of the normalized entropy metric.
|
static Metric<AbstractILMultiDimensional> |
createStaticMetric(java.util.Map<java.lang.String,java.util.List<java.lang.Double>> loss)
Creates an instance of a metric with statically defined information loss.
|
static Metric<AbstractILMultiDimensional> |
createStaticMetric(java.util.Map<java.lang.String,java.util.List<java.lang.Double>> loss,
Metric.AggregateFunction function)
Creates an instance of a metric with statically defined information loss.
|
public static Metric<ILSingleDimensional> createAECSMetric()
public static Metric<ILSingleDimensional> createAECSMetric(double gsFactor)
gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<ILSingleDimensional> createAECSMetric(int rowCount)
rowCount
- public static Metric<ILSingleDimensional> createAmbiguityMetric()
public static Metric<ILSingleDimensional> createDiscernabilityMetric()
public static Metric<ILSingleDimensional> createDiscernabilityMetric(boolean monotonic)
monotonic
- If set to true, the monotonic variant (DM*) will be createdpublic static Metric<ILSingleDimensional> createDiscernabilityMetric(boolean monotonic, double numTuples)
monotonic
- If set to true, the monotonic variant (DM*) will be creatednumTuples
- Pre-initializationpublic static Metric<AbstractILMultiDimensional> createEntropyMetric()
public static Metric<AbstractILMultiDimensional> createEntropyMetric(boolean monotonic)
monotonic
- If set to true, the monotonic variant of the metric will be createdpublic static Metric<AbstractILMultiDimensional> createEntropyMetric(boolean monotonic, Metric.AggregateFunction function)
monotonic
- If set to true, the monotonic variant of the metric will be createdfunction
- The aggregate function to be used for comparing resultspublic static Metric<AbstractILMultiDimensional> createEntropyMetric(double gsFactor)
gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createEntropyMetric(boolean monotonic, double gsFactor)
monotonic
- If set to true, the monotonic variant of the metric will be createdgsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createEntropyMetric(boolean monotonic, double gsFactor, Metric.AggregateFunction function)
monotonic
- If set to true, the monotonic variant of the metric will be createdgsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.function
- The aggregate function to be used for comparing resultspublic static Metric<AbstractILMultiDimensional> createEntropyMetric(boolean monotonic, double[][] cache, int[][][] cardinalities, int[][][] hierarchies)
monotonic
- If set to true, the monotonic variant of the metric will be createdcache
- cardinalities
- hierarchies
- public static Metric<AbstractILMultiDimensional> createHeightMetric()
public static Metric<AbstractILMultiDimensional> createHeightMetric(Metric.AggregateFunction function)
function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createHeightMetric(int minHeight, int maxHeight)
minHeight
- maxHeight
- public static InformationLoss<?> createILMultiDimensionalArithmeticMean(double value)
value
- public static InformationLoss<?> createILMultiDimensionalSum(double value)
value
- public static InformationLoss<?> createILSingleDimensional(double value)
value
- public static Metric<ILSingleDimensional> createKLDivergenceMetric()
public static Metric<AbstractILMultiDimensional> createLossMetric()
public static Metric<AbstractILMultiDimensional> createLossMetric(Metric.AggregateFunction function)
function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createLossMetric(double gsFactor)
gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createLossMetric(double gsFactor, Metric.AggregateFunction function)
gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createNormalizedEntropyMetric()
public static Metric<AbstractILMultiDimensional> createNormalizedEntropyMetric(Metric.AggregateFunction function)
function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createPrecisionMetric()
public static Metric<AbstractILMultiDimensional> createPrecisionMetric(Metric.AggregateFunction function)
function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createPrecisionMetric(boolean monotonic)
monotonic
- If set to true, the monotonic variant of the metric will be createdpublic static Metric<AbstractILMultiDimensional> createPrecisionMetric(boolean monotonic, Metric.AggregateFunction function)
monotonic
- If set to true, the monotonic variant of the metric will be createdfunction
- public static Metric<AbstractILMultiDimensional> createPrecisionMetric(boolean monotonic, int[] heights, double cells)
monotonic
- If set to true, the monotonic variant of the metric will be createdheights
- cells
- public static Metric<AbstractILMultiDimensional> createPrecisionMetric(double gsFactor)
gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createPrecisionMetric(double gsFactor, Metric.AggregateFunction function)
gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createPrecisionMetric(boolean monotonic, double gsFactor)
monotonic
- If set to true, the monotonic variant of the metric will be createdgsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createPrecisionMetric(boolean monotonic, double gsFactor, Metric.AggregateFunction function)
monotonic
- If set to true, the monotonic variant of the metric will be createdgsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.function
- public static Metric<AbstractILMultiDimensional> createPrecomputedEntropyMetric(double threshold)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.public static Metric<AbstractILMultiDimensional> createPrecomputedEntropyMetric(double threshold, boolean monotonic)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.monotonic
- If set to true, the monotonic variant of the metric will be createdpublic static Metric<AbstractILMultiDimensional> createPrecomputedEntropyMetric(double threshold, boolean monotonic, Metric.AggregateFunction function)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.monotonic
- If set to true, the monotonic variant of the metric will be createdfunction
- The aggregate function to be used for comparing resultspublic static Metric<AbstractILMultiDimensional> createPrecomputedEntropyMetric(double threshold, double gsFactor)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createPrecomputedEntropyMetric(double threshold, boolean monotonic, double gsFactor)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.monotonic
- If set to true, the monotonic variant of the metric will be createdgsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createPrecomputedEntropyMetric(double threshold, boolean monotonic, double gsFactor, Metric.AggregateFunction function)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.monotonic
- If set to true, the monotonic variant of the metric will be createdgsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.function
- The aggregate function to be used for comparing resultspublic static Metric<AbstractILMultiDimensional> createPrecomputedLossMetric(double threshold)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.public static Metric<AbstractILMultiDimensional> createPrecomputedLossMetric(double threshold, Metric.AggregateFunction function)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createPrecomputedLossMetric(double threshold, double gsFactor)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.public static Metric<AbstractILMultiDimensional> createPrecomputedLossMetric(double threshold, double gsFactor, Metric.AggregateFunction function)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.gsFactor
- A factor [0,1] weighting generalization and suppression.
The default value is 0.5, which means that generalization
and suppression will be treated equally. A factor of 0
will favor suppression, and a factor of 1 will favor
generalization. The values in between can be used for
balancing both methods.function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createPrecomputedNormalizedEntropyMetric(double threshold)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.public static Metric<AbstractILMultiDimensional> createPrecomputedNormalizedEntropyMetric(double threshold, Metric.AggregateFunction function)
threshold
- The precomputed variant of the metric will be used if
#distinctValues / #rows <= threshold for all quasi-identifiers.function
- The aggregate function to use for comparing resultspublic static Metric<AbstractILMultiDimensional> createStaticMetric(java.util.Map<java.lang.String,java.util.List<java.lang.Double>> loss)
loss
- User defined information loss per attributepublic static Metric<AbstractILMultiDimensional> createStaticMetric(java.util.Map<java.lang.String,java.util.List<java.lang.Double>> loss, Metric.AggregateFunction function)
loss
- User defined information loss per attributefunction
- The aggregate function to use for comparing results


|
Azure C++ Utils 1.2.9+3
Azure REST API Helpers for Modern C++
|
Encryption utility functions for ServiceBus, Cosmos, EventGrid, EventHub Implementation Note! The support for wstring is for completeness and typically the use-case is where we fiddle with utf8 data and not utf16 over the internet and especially json documents! More...
#include <encryption-utils.hpp>
Static Public Member Functions | |
| template<typename T = char> requires std::same_as<T, char> || std::same_as<T, wchar_t> | |
| static std::string | MD5 (const std::basic_string< T > &source) |
| Create a MD5 hash for the given source as a string. More... | |
| template<typename T = char> requires std::same_as<T, char> || std::same_as<T, wchar_t> | |
| static std::string | HMAC (const std::basic_string< T > &message, const std::string &key) |
| Returns binary HMAC using SHA-256. https://www.liavaag.org/English/SHA-Generator/HMAC/. More... | |
| template<typename T = char> requires std::same_as<T, char> || std::same_as<T, wchar_t> | |
| static std::basic_string< T > | JWTHMAC256 (const std::string &key, const std::basic_string< T > &header, const std::basic_string< T > &payload) |
| Create a JsonWebToken authorization with HMAC 256. More... | |
| template<typename T = char> requires std::same_as<T, char> || std::same_as<T, wchar_t> | |
| static std::basic_string< T > | SASToken (const std::string &key, const std::basic_string< T > &url, const std::basic_string< T > &keyName, const std::chrono::seconds &timeout) |
| Create a Shared Access Signature for Azure storage https://docs.microsoft.com/en-us/rest/api/eventhub/generate-sas-token. More... | |
| template<typename T = char> requires std::same_as<T, char> || std::same_as<T, wchar_t> | |
| static std::basic_string< T > | SASToken (const std::string &key, const std::basic_string< T > &url, const std::basic_string< T > &keyName, const std::basic_string< T > &expiry) |
| Create a Shared Access Signature for Azure storage https://docs.microsoft.com/en-us/rest/api/eventhub/generate-sas-token. More... | |
| template<typename T = char> requires std::same_as<T, char> || std::same_as<T, wchar_t> | |
| static std::basic_string< T > | CosmosToken (const std::string &key, const std::basic_string< T > &verb, const std::basic_string< T > &type, const std::basic_string< T > &resourceLink, const std::basic_string< T > &date) |
| Create the Cosmos Authorization Token using the Key for this connection. More... | |
Encryption utility functions for ServiceBus, Cosmos, EventGrid, EventHub Implementation Note! The support for wstring is for completeness and typically the use-case is where we fiddle with utf8 data and not utf16 over the internet and especially json documents!
Definition at line 72 of file encryption-utils.hpp.
|
inlinestatic |
Create the Cosmos Authorization Token using the Key for this connection.
| key | Binary. The key must be decoded from the base64 value in the connection string from the Azure portal |
| verb | GET, POST, PUT, DELETE |
| type | One of the following: dbs, docs, colls, attachments or empty |
| resourceLink | The resource link sub-uri |
| date | Date in RFC7231 as string |
Definition at line 296 of file encryption-utils.hpp.
|
inlinestatic |
Returns binary HMAC using SHA-256. https://www.liavaag.org/English/SHA-Generator/HMAC/.
| message | Source text |
| key | Source key; MUST NOT be base64 encoded |
Definition at line 135 of file encryption-utils.hpp.
|
inlinestatic |
Create a JsonWebToken authorization with HMAC 256.
| key | Must be std::string as the contents are the "key" and treated as "binary" |
| header | The JWT header |
| payload | The string wiht json tokens |
Definition at line 205 of file encryption-utils.hpp.
|
inlinestatic |
Create a MD5 hash for the given source as a string.
| source | Maybe std::string or std::wstring |
Definition at line 79 of file encryption-utils.hpp.
|
inlinestatic |
Create a Shared Access Signature for Azure storage https://docs.microsoft.com/en-us/rest/api/eventhub/generate-sas-token.
| key | The key to sign the url with time |
| url | The url for the session |
| keyName | The key name |
| expiry | The expiry is the number of seconds since 1970-1-1 plus timeout |
Definition at line 259 of file encryption-utils.hpp.
|
inlinestatic |
Create a Shared Access Signature for Azure storage https://docs.microsoft.com/en-us/rest/api/eventhub/generate-sas-token.
| key | The key is "binary" in std::string |
| url | The url for the session |
| keyName | The key name |
| timeout | Amount of ticks past the "now" (number of seconds since 1970-1-1) |
Definition at line 233 of file encryption-utils.hpp.


Preconditions:
We created a tool to help you generate the task files. A notebook file always has to follow the scheme:
- Introduction (1 markdown cell)
- any number of tasks (1 markdown cell + 1 code cell)
If you want to change this, you'll have to manually modify the JavaScript in instance_server/template/custom.js
If you are using a completly different set of tasks, for example, symetric vs asymetric encryption, then make sure that both files contain the same amount of cells+tasks. Incase that you have a different amount of tasks, you can also modify instance_server/template/custom.js to return the correct amount depending on the amount of cells in the document ($('.cell').length
)
1) Start the notebook generator
Install the required dependencies with
pip3 install -r requirements.txt
, run
python3 notebookgen.py
and open
http://localhost:5000 in your webbrowser.
2) Generate Cells
Switch to the Cells tab and click on "New Cell".
You may now create Markdown (text only) cells and Code cells.
A task will always need a Markdown cell followed by a Code cell except for the introduction which consists of a single Markdown cell.
3) Generate Tasks
Switch to the Tasks tab and click on "New Task" and select the appropriate cells for the task.
4) Create Conditions
Switch to the Conditions tab and create conditions which are used to replace placeholders in cells.
5) Generate Notebooks
The last step is to generate the notebooks. Switch to the Notebooks tab and create a new notebook template. You can now select which tasks should be included in this notebook file.
You can also select if certain tasks should be at a fixed position. The intro should always be fixed to the first position, followed by tasks in latin squares order.
6) Jupyter
After generating the notebook file, it can be used with Jupyter.
Continue with LimeSurvey


National Assembly Approves Foreign Service Bill
by SG EditorA bill aimed at professionalising South Africa’s foreign service has been given the green light by the National Assembly on Tuesday.
The Foreign Service Bill will now be sent to President Cyril Ramaphosa for his assent.
Among its provisions are that South African heads of missions abroad must be fit and proper persons.
International Relations and Cooperation committee chairperson Thandi Mahambehlala said a milestone provision in the bill was that heads of missions would have to be fit and proper persons, who were properly trained.
“This is to ensure that the face of our foreign policy remains accepted and in good stature.”
Mahambehlala said the bill provided a new framework for officials’ reporting lines.
“The bill is going to professionalise the foreign service of the Republic. Currently, the management of officials from different sectors of government is highly fragmented, with officials serving in missions abroad from different departments reporting directly to, and being managed by, their respective departments in South Africa.”
The bill also gives the minister of international relations and cooperation full responsibility for managing South Africa’s extensive property portfolio in foreign countries, which until now has fallen under the Department of Public Works.


Undergraduate
Honors Options in Computer Science
- Honors Degree
The Honors Degree recognizes a student's excellent performance in Honors coursework in and outside the primary major. The Honors Degree is available to Computer Science majors (BA or BS) and to Information Systems majors (BS). Specific requirements are outlined in the University catalog at requirements for the Honors Degree. - Degree with Distinction
The Degree with Distinction supplements regular departmental degree requirements by giving the student significant research experience while still an undergraduate. The Degree with Distinction is available to Computer Science majors (BA or BS) and to Information Systems majors (BS). The candidate for a Degree with Distinction must complete six credits of thesis or project and give an oral presentation and defense of the thesis or project to a faculty committee. The Degree with Distinction entails no change in the regular requirements of a student's program other than research, writing, and defense of a senior thesis. Specific requirements are outlined in the University catalog at requirements for the Degree with Distinction. - Honors Degree with Distinction
The Honors Degree with Distinction recognizes a student's completion of the research requirements for the Degree with Distinction in addition to the successful pursuit of Honors coursework throughout the degree program. Six credits of Honors thesis may be counted as part of the 30 Honors credits required for the Honors Degree. Specific requirements are outlined in the University catalog at requirements for the Honors Degree with Distinction.


Huawei Watch GT 2: A short take
by DigitlThe Huawei Watch GT 2 looks OK, has great battery life, is waterproof and has a slew of health features, but it can't run third-party apps.
Huawei has a unique take on the idea of a smart watch. The company's Watch GT 2 almost belongs in a different product category. It has its charms, but it is, well, not very smart.
There is little in common with, say, the Apple Watch, other than both are watch-sized computers that fit on the wrist.
For a start the Huawei Watch GT 2 looks nothing like the Apple Watch. It is round, like a non-smart watch. In most of its incarnations it looks like a conventional watch with hands ticking clock-wise around the watch face.
Plenty of battery life
Unlike Apple's Watch, you can get two weeks from a single charge, although that time plummets when you use its music playing capacity.
The biggest different between the Huawei Watch GT 2 and other smart watches lies in what it does. Or to be more accurate, what it doesn't do.
If you have your phone nearby, you can make Bluetooth calls on the Watch GT. Huawei says 150 metres, in testing I found it struggling if the phone was 15 metres away.
Huawei Watch GT 2 is all about activity
The device will monitor your heart rate and track physical activity.
There's a built-in GPS so you know where you've been. You can check emails, texts and calendar items, although you need good eyes to read off the tiny 46mm display.
That's about it. Unlike other smart phones, it doesn't run third party apps. Don't even think about using the Huawei Watch GT 2 for something like checking onto an Air New Zealand flight.
You are stuck with the stock software with little room for customisation. It is what it is.
LiteOS
Huawei has opted to use something called LiteOS as the operating system. No, I've never heard of it either.
LiteOS is all about fitness and health tracking. At the launch function Huawei talked about the 15 different types of exercise activities the phone tracks. You can also track your sleep. It collects a lot of data.
In that sense LiteOS is fine, but limited. Let's hope Huawei can do better if it has to deliver its own phone operating system.
Compared with smarter smart watches you get a lot of activity tracking and a ton of battery life.  On the downside you can't do anything like as much with it as with an Apple or Samsung watch.
Huawei Watch GT 2: A short take was first posted at billbennett.co.nz.


About Me
Welcome to my portfolio!
I am currently looking for a job that pays one million dollars a minute. I have two skills looking busy and pretending to be efficient.
Do you want to take your company to the next level?
You must hire the one, the only, the incredible Alexis Bounds.


network
This module is used to initialize various network card drivers. The network card has the functions of connecting routing, disconnecting routing, viewing the connection information of the network card, and checking whether it is connected.
To use WiFi
please make sure that the antenna is connected
esp8285
On some development boards, a network card module that uses AT
to interact, such as esp8285
, is connected to k210
through a serial port
Pin 8
is the enable pin. You can create a GPIO
object to control its high and low levels to achieve enable and disable, or you can use it to reset (low first and then high), and you need to wait for a while after reset Time to operate,
You can view the routine network_espat.py
esp32
Currently there is an esp32
module in the MaixDuino
development board which is connected to k210
through spi
There is also a separate TF
plug-in module
network.ESP8285(uart)
Construct an ESP8285
network card object. To use this method, you need to pass in a uart
object. On the dock
and GO
currently supported by MaixPy
, the AT command module is used as the WiFi
. So the uart
object is the object that communicates with the AT
module, you can check the uart
module routine
Calling this method will initialize ESP8285
and throw an exception if it fails
Parameters
uart
: UART object communicating with AT module
return value
ESP8285
: NIC object
ESP8285
connect(ssid, key)
Connect hotspot (AP/router)
Parameters
ssid
: theSSID
of the hotspotkey
: hotspot password
return value
None, if an error occurs, an exception will be thrown
2.2. ifconfig
View wifi connection information, currently network does not support setting network card configuration
nic.ifconfig()
Parameters
no
return value
tuple
type, elements are all strings: (ip, netmask, gateway, dns_server, dhcp_server, mac, ssid)
, if not found or invalid, the value is "0"
isconnected
Check if wifi is connected
nic.isconnected()
Parameters
no
return value
True
: connected
False
: disconnect
disconnect
Disconnect wifi connection
Parameters
no
return value
no
scan
Scan the surrounding hotspot information
Parameters
no
return value
A list
object, each element contains a string, the string comes from the response of the AT
module, and the content is the same as described in the AT command document
of esp8285
, as follows:
ecn, ssid, rssi,mac, channel, freq offset, freq cali, pairwise_cipher, group_cipher, bgn, wps
ecn
: Encryption method
- 0: OPEN
- 1: WEP
- 2: WPA_PSK
- 3: WPA2_PSK
- 4: WPA_WPA2_PSK
*5: WPA2_Enterprise (Previously, AT does not support connecting to this encrypted AP)
ssid
: string parameter, AP's SSIDrssi
: signal strengthmac
: string parameter, AP's MAC addresschannel
: channel numberfreq offset
: AP frequency offset, unit: kHz. Divide this value by 2.4 to get the ppm valuefreq cali
: frequency offset calibration valuepairwise_cipher
:
- 0: CIPHER_NONE
- 1: CIPHER_WEP40
- 2: CIPHER_WEP104
- 3: CIPHER_TKIP
- 4: CIPHER_CCMP
- 5: CIPHER_TKIP_CCMP
- 6: CIPHER_UNKNOWN
group_cipher
: The definition is the same aspairwise_cipher
bgn
: bit0 stands for b mode; bit1 stands for g mode; bit2 stands for n mode
If the corresponding bit is 1, it means the mode is enabled; if the corresponding bit is 0, the mode is not enabled.wps
: 0, WPS is not enabled; 1, WPS is enabled
For example:
info_strs = ['4,"ChinaNet-lot0",-79,"c8:50:e9:e8:21:3e",1,-42,0,4,3,7,1', '4,"TOPSTEP2G4 ",-7
0,"f8:e7:1e:0d:0d:f8",1,-57,0,4,4,7,0']
This may seem strange, because the information of each AP is a string of characters, and there are integers and strings in the information. The strings are enclosed in double quotes, so after you get this string, you need to process it again. Use again, such as:
def wifi_deal_ap_info(info):
res = []
for ap_str in info:
ap_str = ap_str.split(",")
info_one = []
for node in ap_str:
if node.startswith('"'):
info_one.append(node[1:-1])
else:
info_one.append(int(node))
res.append(info_one)
return res
info_strs = ['4,"ChinaNet-lot0",-79,"c8:50:e9:e8:21:3e",1,-42,0,4,3,7,1', '4,"TOPSTEP2G4 ",-70,"f8:e7:1e:0d:0d:f8",1,-57,0,4,4,7,0']
info = wifi_deal_ap_info(info_strs)
print(info)
The output is:
[[4,'ChinaNet-lot0', -79,'c8:50:e9:e8:21:3e', 1, -42, 0, 4, 3, 7, 1], [4,'TOPSTEP2G4', -70,'f8:e7:1e:0d:0d:f8', 1, -57, 0, 4, 4, 7, 0]]
Then for example, we need to get all the SSID
of AP
only need to use
for ap_info in info:
print(ap_info[1])
enable_ap(ssid, key, chl=5, ecn=3)
- *Warning: As of November 26, 2020, MaixPy sockets have not yet implemented functions such as listen / bind / accpet. *
Open hotspot
Parameters
ssid
: SSIDkey
: passwordchl
: Channel number of WiFi signalecn
: Encryption method, includingOPEN``WPA2_PSK
, etc., refer to the constant part ofESP8285
on this page, the default value is3
, which isESP8285.WPA2_PSK
, for example
nic = network.ESP8285(uart)
nic.enable_ap("maixpy", "12345678", 5, nic.OPEN)
or
nic.enable_ap("maixpy", "12345678", 5, network.ESP8285.OPEN)
disable_ap()
Turn off hotspot
Constant
OPEN
The hotspot encryption method does not require a password
WPA_PSK
The hotspot encryption method is WPA_PSK
WPA2_PSK
The hotspot encryption method is WPA2_PSK
WPA_WPA2_PSK
The encryption method of the hotspot is WPA_WPA2_PSK
Routine
Refer to routines in the network directory
network.ESP32_SPI(cs,rst,rdy,mosi,miso,sclk)
To construct an ESP32_SPI
network card object, you need to pass in the corresponding GPIOHS FUNC
If the number of incoming parameters is incorrect, an error will be returned
Note If SPI and SD do not conflict on maixduino, you need to set ESP32_SPI as the hardware SPI configuration.
Parameters
fpioa_func
corresponding to pin function
return value
ESP32_SPI
network card object
ESP32_SPI
adc
Read the adc
value of the esp32
module
Parameters
no
return value
tunple
, the value of adc
for 5 channels
The order is "PIN36", "PIN39", "PIN34", "PIN35", "PIN32"
Routine
network.WIZNET5K(spi, cs)
Construct a WIZNET5K
network card object. To use this method, you need to pass in a spi
object and a cs
pin.
Calling this method will initialize WIZNET5K
and throw an exception if it fails
Parameters
spi
: Responsible for communication with WIZNET5K modulecs
: spi communication chip selection footer
return value
WIZNET5K
: NIC object
WIZNET5K
dhclient
DHCP dynamically obtain IP
nic.dhclient()
Parameters
no
return value
True
: Get successFalse
: Get failed
ifconfig
nic.ifconfig()
Parameters
- No reference: query network card information
- Incoming
(ip, netmask, gateway, dns_server)
string tuple: configure network card,ip
ip address,netmask
subnet mask,gateway
gateway IP address,dns_server
DNS service IP address .
return value
- No parameters: return
tuple
, the elements are all strings,(ip, netmask, gateway, dns_server)
, if not found or invalid, the value is"0"
- Pass parameter: return
None
isconnected
Check if the network is connected
nic.isconnected()
Parameters
no
return value
True
: already connectedFalse
: disconnect


nonprofit application, IRS Form 1023, 501(c)(3)
As the final step in your application for federal 501(c)(3) nonprofit status, you must submit IRS Form 1023, Application for Recognition of Exemption Under Section 501(c)(3) of the Internal Revenue Code and pay the hefty application fee. For organizations expecting to make less than $10,000 gross receipts per year, the application fee in 2014 was $400. Check with the IRS website for the latest fees.
The questions on the application form are primarily meant to determine whether your organization meets the criteria set forth for nonprofit organizations. They want to make sure that your organization isn't designed to make money for its members, isn't meant to influence politics, and isn't a front for terrorist activities. The form is lengthy and detailed, so be prepared to spend some time on it and get some proofreading help.
In addition to the application form, you will need to include a copy of your state incorporation certificate, your EIN, your bylaws, a descriptions of the duties of your officers, the names and addresses of your officers, and a budget estimate for the next three years.
**Note: In 2016, the IRS introduced Form 1023-EZ, which is supposedly a streamlined application form and process for organizations meeting certain qualifications. A typical community music ensemble should probably meet these qualifications and be eligible to use this form. The application fee with this form is also cheaper, only $275. I don't have any first-hand experience with 1023-EZ and can't advise on it, but it definitely seems worth checking out.
You are welcome to view the RCO's application materials as an example. I have removed my officers' names and addresses for privacy.


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Trader Tyra:
Hello there. I'm Tyra. I'm here by myself in the Dark Forest, but there are always adventurers like you coming through here ... still beats living in a crowded village. If you need anything, I can sell you a few supplies at good prices.
Buy supplies and minerals.
See the Lord and Tax Rate Information
Quest


NUTCRACKER THE MUSICAL
December 9-12, 2004
Director - Jeannene Pacific
Assistant DIrectors - Amanda Hall, Shannon Hall
THE CAST
Marie - LeighAnn Pacific
Fritz - Aaron Hall
Silvi - Madeline Davis
Nanny - Mallory White
Clara - Scarlett Sandifer
Mother - Lane Bounds
Father - Barrett Smith
Victoria - Claudia Vial
Grandmother - Virginia RIles
Grandfather - Daniel Vial
Emma - Lindsay Thompson
Andrea - Ashely Walters
Josephine - Gabi Walters
Davinia - Mary Elizabeth Ward
Rosamond - Quenosha Payton
Hannah - Ally Rawls
Martha - Woodsen Pryne
Sarah - Haley Wansley
Anna - Alexis Blakeney
Sugarplum Fairy - Ashely Smith
Ballerinas - Emily HIgginbotham, Mary Francis Ivey
Nutcracker - Corbin McDavitt
Mouse King - Aaron Hall
Mouse Queen - Katelyn Smith
King - Dallen Boutwell
Queen - Madison Foster
Sergeant-At-Arms - Benjamin Willis
Pirlipat - Lindsay Thompson
Exterminator - Will Chancellor
The Party Guests
Reshma Bangar, Dallen Boutwell, Will Chancellor, Chelsee Ingram, Taylor Johnston,
Forrest Smith, Brooke Welborn, Chase Welborn
The Snow Angels
Andrea Boykin, Jennah Grace Eddins, Hannah Johnson, Addi Saul, Jena Yeager
The Fairies
Sara Grace Ellzie, Landra Gavin, Tylynn Knotts, Kelly Stringer, Jeanine Wear
The Mice
Tyler Gatewood, Joseph Grayson, Raven Hutchinson, Rhen McLeod, Ally Rawls
The LIttle Soldiers
Hunter Blakeney, Brandon Doyle, Matthew Doyle, Grayson O'Neal, Ethan Zadrozny
The Big Soldiers
Brian Doyle, John Grayson, Brayden Hodge, Jarred Ingram, Rhen McLeod,
Christopher Robin Sims, Forrest Smith, Levi Sumrall, Jonathan Weber
The Peasant Girls
Ali Alexander, Roshma Bangar, Alexis Blakeney, Molly Chandler, Brooklyn Dillon,
Chelsee Ingram, Abby Johnston, Taylor Johnston, Brenisa Jones, Melanie Litchfield,
Paige McLeod, Juliet O'Neal, Savanna Parish, Kay Pevey, Quenosha Payton,
Katie Quinnelly, Katy Smith, Bethany Stonefield, Brooke Welborn, Natalie White,
Kelsey Wigington
The Ladybugs
Jodie Burnett, Laken Ellzie, Mary Frances Ivey, Kalyb Sims, Gabby Steve
The Butterflies
Brinley Bullock, Marley Cruise, Allison Foster, Callie Shows, Lauren Thompson,
Haley Wansley
The Pages
Meredith Follis, Mallory Vial, Katherine Ward
The Flowers
Abby Garmon, Olivia Hamill, Olivia Moffett, Amanda Pridgen, Keri Rowell,
Abigail Willis
The Bumblebees
Lacy Braddock, Daytona Gaudet, Hannah Hankins, Hannah Lopez
The Jesters
Britt Gunnels, Woodsen Pryne, Scarlett Sandifer, Haven Sims,
Mary Katherine Smith, Molly Whitt


Connect to BIOETHICS in the Course Register.
BIOETHICS
BIOE-402 CON. FOUND. OF BIOETHICS 1 CU 401 LEC T 4:30-7PM 34MK 331 FIESTER A CROSS LISTED: BIOE-602 SECTION MAX: 35 MAX W/CROSS LIST: 70 402 LEC R 4:30-7PM 34MK 331 FIESTER A CROSS LISTED: BIOE-602 SECTION MAX: 30 MAX W/CROSS LIST: 65 BIOE-540 CHALLENGING CLIN. ETHICS 1 CU 001 LEC R 4:30-7PM 34MK 321 BERGMAN E UNDERGRADUATES NEED PERMISSION MAX: 30 BIOE-545 MEDIATION INTENSIVE I 0.5 TO 1 CU 001 SEM FSU 9-5PM 34MK 320 FIESTER A PERMISSION NEEDED FROM DEPARTMENT DATES: 01/16/15 - 01/19/15 MAX: 20 BIOE-547 MEDIATION INTENSIVE II 0.5 TO 1 CU 001 SEM FSU 9-5PM 34MK 331 FIESTER A PERMISSION NEEDED FROM DEPARTMENT DATES: 01/16/15 - 01/19/15 MAX: 30 BIOE-550 BIOETHICS & SOCIETY 1 CU 001 LEC M 4:30-7PM 34MK 321 BARNHILL A UNDERGRADUATES NEED PERMISSION MAX: 35 BIOE-551 SOC. TOPICS IN BIOETHICS 1 CU 001 LEC T 4:30-7PM 34MK 321 WAHLERT L UNDERGRADUATES NEED PERMISSION MAX: 30 BIOE-572 GLOBAL BIOETHICS 1 CU 001 LEC W 4:30-7PM STIT B6 EMANUEL E MAX: 200 BIOE-602 CON. FOUND. OF BIOETHICS 1 CU 401 LEC T 4:30-7PM 34MK 331 FIESTER A UNDERGRADUATES NEED PERMISSION CROSS LISTED: BIOE-402 SECTION MAX: 35 MAX W/CROSS LIST: 70 402 LEC R 4:30-7PM 34MK 331 FIESTER A UNDERGRADUATES NEED PERMISSION CROSS LISTED: BIOE-402 SECTION MAX: 35 MAX W/CROSS LIST: 65 BIOE-605 MENTORED RESEARCH I 1 CU 990 MST TBA STAFF PERMISSION NEEDED FROM DEPARTMENT BIOE-606 MENTORED RESEARCH II 1 CU 990 MST TBA STAFF PERMISSION NEEDED FROM DEPARTMENT BIOE-607 MENTORED RESEARCH III 1 CU 990 MST TBA STAFF PERMISSION NEEDED FROM DEPARTMENT BIOE-608 MENTORED RESEARCH IV 1 CU 990 MST TBA STAFF PERMISSION NEEDED FROM DEPARTMENT BIOE-701 PROSEMINAR 0.5 CU 301 SEM TBA JOFFE S MAX: 10 BIOE-996 RESEARCH TOPICS 0.5 TO 1 CU 000 IND TBA WAHLERT L PERMISSION NEEDED FROM DEPARTMENT BIOE-999 INDEPENDENT STUDY 0.5 TO 1 CU 000 IND TBA WAHLERT L PERMISSION NEEDED FROM DEPARTMENT
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Comments to:
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<EMAIL_ADDRESS>Updated: Sat Jan 17 08:30:02 2015


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| Local Properties | Local Methods | |
| Managed Object Types | Data Object Types | All Properties | All Methods |
For change detection a client creates one or more filters to specify the subset of managed objects in which the client is interested. Filters keep per-session state to track incremental changes. Because this state is per-session:
Properties
| Name | Type | Description |
|---|---|---|
| filter* P | ManagedObjectReference[]
to a PropertyFilter[] |
The filters that this PropertyCollector uses to determine the list of
properties for which it detects incremental changes.
|
Methods
| Methods defined in this Managed Object |
|---|
| CancelRetrievePropertiesEx, CancelWaitForUpdates, CheckForUpdates, ContinueRetrievePropertiesEx, CreateFilter, CreatePropertyCollector, DestroyPropertyCollector, RetrieveProperties, RetrievePropertiesEx, WaitForUpdates, WaitForUpdatesEx |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| token | xsd:string |
the token returned in the previous RetrieveResult returned on the same session by the
same PropertyCollector.
|
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| InvalidArgument | Thrown if the token does not match the token from the previous RetrieveResult returned on the same session by the same PropertyCollector. |
| InvalidProperty | |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| version* | xsd:string |
The data version currently known to the client. The value
must be either
|
Return Value
| Type | Description |
|---|---|
| UpdateSet | Changes since the passed in data version. If no updates are pending, then this method returns null. |
Faults
| Type | Description |
|---|---|
| InvalidCollectorVersion | Thrown if the data version does not meet the requirements above. |
| RequestCanceled | Thrown if CancelWaitForUpdates has been called or the session was closed or the PropertyCollector was destroyed at some point after the call was received but before the update calculation was actually started |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| token | xsd:string |
the token returned in the previous RetrieveResult returned on the same session by the
same PropertyCollector.
|
Return Value
| Type | Description |
|---|---|
| RetrieveResult | retrieved objects. |
Faults
| Type | Description |
|---|---|
| InvalidArgument | Thrown if the token does not match the token from the previous RetrieveResult returned on the same session by the same PropertyCollector. |
| InvalidProperty | |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| spec | PropertyFilterSpec |
The specifications for the filter.
|
| partialUpdates | xsd:boolean |
Flag to specify whether a change to a nested property should report
only the nested change or the entire specified property value. If the
value is true, a change should report only the nested property. If
the value is false, a change should report the enclosing property
named in the filter.
|
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a PropertyFilter | A reference to the new filter. |
Faults
| Type | Description |
|---|---|
| InvalidArgument | Thrown if any of the following is true:
|
| InvalidProperty | Thrown if "spec" has a property that is not defined on one of the objects. |
| InvalidType | Thrown if "spec" contains, directly or indirectly, a type name that does not refer to a known type. |
| ManagedObjectNotFound | See reportMissingObjectsInResults. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
A new PropertyCollector can be useful when multiple modules or even multiple clients that share the same session need to create their own PropertyFilter objects and process updates independently. They may also be useful to allow important updates to be seen on one PropertyCollector while a large update is being calculated on another. The underlying issue that this addresses is that any call to WaitForUpdates, CheckForUpdates, or WaitForUpdatesEx does updates on all the filters created on a given PropertyCollector on a given session.
A more subtle use of multiple PropertyCollector objects is implied by the fact that the returned version value for the various updates calculations is strongly ordered. The only way this can make sense is that two different versions calculated on the same PropertyCollector on the same session cannot ever be created in parallel. This means that multiple calls to WaitForUpdates, CheckForUpdates, or WaitForUpdatesEx made to the same PropertyCollector on the same session on different threads of the same client, or even on different clients that share the same session are still handled on the server serially. Use of different PropertyCollector instances allows the server to handle these calculations in parallel.
Typically a service that supports the PropertyCollector managed object type will automatically create a default PropertyCollector and provide some way to obtain a reference to this PropertyCollector. If not, it will have to provide some service-specific way to create the a PropertyCollector.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a PropertyCollector | A reference to the new PropertyCollector. |
Faults
| Type | Description |
|---|---|
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
A PropertyCollector that was created by CreatePropertyCollector is automatically destroyed when the session on which it was created is closed. This method can be used to destroy them explicitly.
An automatically created PropertyCollector provided by a service is not session specific and may not be destroyed.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| NotSupported | Thrown if this PropertyCollector is not allowed to be destroyed. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
This method is similar to creating the filters, receiving the property values, and destroying the filters. The main difference is that the output blends the results from all the filters and reports a given managed object at most once no matter how many filters apply.
The filter creation step can throw all of the same faults as CreateFilter.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| specSet | PropertyFilterSpec[] |
Specifies the properties to retrieve.
|
Return Value
| Type | Description |
|---|---|
| ObjectContent[] | The data contents of the specified objects. |
Faults
| Type | Description |
|---|---|
| InvalidArgument | See CreateFilter |
| InvalidProperty | See CreateFilter |
| InvalidType | See CreateFilter |
| ManagedObjectNotFound | See CreateFilter |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
This method is similar to creating the filters, receiving the property values, and destroying the filters. The main difference is that the output blends the results from all the filters and reports a given managed object at most once no matter how many filters apply.
The filter creation step can throw all of the same faults as CreateFilter.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| specSet | PropertyFilterSpec[] |
Specifies the properties to retrieve.
|
| options | RetrieveOptions |
Additional method options. If omitted, equivalent to an options
argument with no fields set.
|
Return Value
| Type | Description |
|---|---|
| RetrieveResult | retrieved objects or null if there are no matching objects. |
Faults
| Type | Description |
|---|---|
| InvalidArgument | Thrown if any of the following is true: See CreateFilter |
| InvalidProperty | See CreateFilter |
| InvalidType | See CreateFilter |
| ManagedObjectNotFound | See CreateFilter |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| version* | xsd:string |
The data version currently known to the client. The value
must be either
|
Return Value
| Type | Description |
|---|---|
| UpdateSet | Changes since the passed in data version. |
Faults
| Type | Description |
|---|---|
| InvalidCollectorVersion | Thrown if the data version does not meet the requirements above. |
| RequestCanceled | Thrown if CancelWaitForUpdates has been called or the session was closed or the PropertyCollector was destroyed at some point after the call was received |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
WaitForUpdatesEx may return only partial update calculations. See truncated for a more detailed explanation. WaitForUpdatesEx may also return null after a timeout, either as requested by maxWaitSeconds or due to PropertyCollector policy.
If an application uses waitForUpdatesEx it is strongly recommended that it not make concurrent calls to WaitForUpdates, CheckForUpdates, or WaitForUpdatesEx in the same session. Concurrent calls may cause suspended change calculations to be discarded.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the PropertyCollector used to make the method call. |
| version* | xsd:string |
The data version currently known to the client. The value must be
either
|
| options* | WaitOptions |
Additional options controlling the change calculation. If omitted,
equivalent to an options argument with no fields set.
|
Return Value
| Type | Description |
|---|---|
| UpdateSet | Changes since the passed in version or null if there are no changes. |
Faults
| Type | Description |
|---|---|
| InvalidCollectorVersion | Thrown if the data version does not meet the requirements above. |
| RequestCanceled | Thrown if CancelWaitForUpdates has been called or the session was closed or the PropertyCollector was destroyed at some point after the call was received |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
| Top of page | Local Properties | Local Methods | |
| Managed Object Types | Data Object Types | All Properties | All Methods |


Randomly selects squares, (unknown to the player) that are designated to contain mines. If a square containing mines is revealed, the player loses
Check it outThis project simulates a fight between 2 opponents: an attacker that only attacks with 3 modes (high low and medium) and a defender that only replies to the attack with an adequate response
Check it outThis project analyses food webs by taking an input of organisms and identifying the (predator prey) relationship between the organisms.
Check it out


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Saudi Aramco declares $1.71 tn valuation in IPO
It would 1.5% stake to raise $25.6 billion
by AFPSaudi Arabia on Sunday put a value of up to $1.71 trillion on energy giant Aramco in what could be the world’s biggest IPO, but missed Crown Prince Mohammed bin Salman’s initial target of $2 trillion.
Aramco said it would sell 1.5% of the firm in a blockbuster initial public offering worth at least $24 billion.
“The base offer size will be 1.5 percent of the company's outstanding shares,” the state-owned energy giant said in a statement that set the price range at 30-32 Saudi riyals per share ($8-8.5).
The much-delayed offering is scaled down from original plans, but it still rivals the world's biggest listing so far — the $25 billion float of Chinese retail giant Alibaba in 2014.
Aramco had initially been expected to sell a total of 5% on two exchanges. But the firm has said there are no current plans for an international stock sale, indicating that the long-discussed goal had been shelved for the time being.


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This tutorial aims to show you how to inject resources into Akka actors using Guice. You will be guided through the different parts used to integrate Akka with Guice and also create a test wrapper for a service and rewire the service used during testing without any code changes needed to the actor or the application classes.
The application basically consist of a single actor defined in the
CountingActor.scala
file. This actor uses a service defined in the CountingService.scala file to increment a
value. The CountingService
is wired into the Actor via Guice.
To drive the actor, there is a application defined in the Main.scala file that does the following:
CountingActor
via the Guice extensionCountingService
The result of running the Main
application is shown in the
Run tab. On the left-hand side we can
see the console output, which is "Got back 3" for the
Main.scala
application.
There is also a ScalaTest test for the CountingActor
located in
the
GuiceTest.scala file. It is structured in the same way as
the Main
application.
The result of running the GuiceTest
test is shown in the
Test tab. On the left-hand side we can
see the console output, which is "passed GuiceTest".
To be able to use the Guice application context to let Guice create and wire up our actors, we need to store it away in a place that is easily accessible from within the actor system. This is an ideal use case for what is called an Akka Extension. An extension can be thought of as a per actor system singleton and the one in this tutorial is defined in the GuiceAkkaExtension.scala file.
The extension consist of two parts. The GuiceAkkaExtension
class
that defines the methods used by Akka to create the extension for an actor
system, and the GuiceAkkaExtensionImpl
class that defines the
methods and fields available on the extension.
On this extension, the GuiceAkkaExtensionImpl
class, there
are only two methods, initialize(injector: Injector)
that is used during startup to initialize the extension with the right
Guice injector, and props(actorName: String)
that constructs a
Props from an actor name, that is used to create an actor.
The Props
creation uses the GuiceActorProducer
that we will talk about next.
To let Guice create the actor from a bean name we need a way to allow the Akka Props to delegate actor creation to Guice. This is done in the GuiceActorProducer.scala file.
The GuiceActorProducer
implements the
IndirectActorProducer
interface which is a way to let the
actor be
created via a factory method. This interface has two methods that need
to be implemented, actorClass
that will return the type of the
actor that will be created, and produce
, that needs to create
a new actor instance every time that it is called.
To tie everything together, we have a Guice injector defined in the Main.scala file. The injector references the various pieces of the application: 1) a ConfigModule.scala to inject a Typesafe Config object where necessary, 2) an AkkaModule.scala to create an ActorSystem and initialize the Guice extension, and 3) a SampleModule.scala to bind the sample counting actor and service.
The AkkaModule
has a ActorSystemProvider
that
is responsible for creating the ActorSystem in this Guice application, and
the module binds the system as an eager singleton, which is useful to detect
errors early in the application startup. The code creates the actor system and
then initializes the GuiceAkkaExtension
with the injector needed
by the GuiceActorProducer
to create actor instances from actor
names. Note that the injector is itself injected by Guice into the
ActorSystemProvider
.
Since we want to be able to test our actor thoroughly, let's create a test counting service. In our tutorial it will just wrap the real counting service and do some extra book keeping, but it could just as easily be a complete mock of the service.
Open the empty TestCountingService.scala file, and add the code below. Remember to save the file afterwards.
import com.typesafe.config.Config
import java.util.concurrent.atomic.AtomicInteger
import javax.inject.Inject
import sample.CountingService
class TestCountingService @Inject() (config: Config) extends CountingService(config) {
private val called = new AtomicInteger(0)
override def increment(count: Int) = {
called.incrementAndGet()
super.increment(count)
}
def getNumberOfCalls: Int = called.get()
}
Lets take a closer look at the newly created test counting service in the file TestCountingService.scala
The class TestCountingService
inherits from
CountingService
and overrides the method increment
on
line 9. In that method it keeps track of how many times it has been
called, by using an internal counter named called
and then it
delegates to the real counting service by calling super.increment(count)
It also has a method named getNumberOfCalls
on line 14 that
returns the value of the internal counter called
that can be
used during testing to verify how the service is being used by the actor.
Now that you have created a test counting service it is time to start using it in the test.
Open the
GuiceTest.scala file. And at line 21, right after
new SampleModule()
, add a comma and a new test module that
binds the TestCountingService
to CountingService
.
Remember to save the file afterwards.
new AbstractModule with ScalaModule {
override def configure() {
bind[CountingService].to[TestCountingService].in[Singleton]
}
}
The TestCountingService
is defined in Singleton scope so that
we can retrieve the same instance in the test as was used by the actor.
Check that the tests are still green on the Test tab.
We would also like to check that the actor actually called the service the
right number of times by using the getNumberOfCalls
method.
Add the code below to the
GuiceTest.scala file on line 47, just above the comment
// shut down the actor system
. Remember to save the file
afterwards.
// check that it called the TestCountingService the right number of times
val testService = injector.instance[CountingService].asInstanceOf[TestCountingService]
testService.getNumberOfCalls should be(3)
Check that the tests are still green on the Test tab.
You now have a working sample that uses Guice to inject a service or a test service into an actor. Feel free to experiment and change the actor CountingActor.scala, service CountingService.scala, test service TestCountingService.scala and test GuiceTest.scala.
The Akka extension GuiceAkkaExtension.scala, the actor producer GuiceActorProducer.scala and the application modules can be reused as the basis for your own Guice Akka application.


|
| double | nullPosition () const |
| | Return position (in degrees) of minimum value. More...
|
| |
| void | setNullPosition (double position) |
| | Defines position of minimum value. More...
|
| |
| void | setBarStyle (BarStyle style) |
| | Sets visual style of the widget. More...
|
| |
| BarStyle | barStyle () const |
| | Returns current progree bar style. More...
|
| |
| void | setOutlinePenWidth (double penWidth) |
| | Sets width of the outline circle pen. More...
|
| |
|
double | outlinePenWidth () const |
| | Returns width of the outline circle pen.
|
| |
| void | setDataPenWidth (double penWidth) |
| | Sets width of the data circle pen. More...
|
| |
|
double | dataPenWidth () const |
| | Returns width of the data circle pen.
|
| |
| void | setDataColors (const QGradientStops &stopPoints) |
| | Sets colors of the visible data and makes gradient brush from them. Gradient colors can be set for Donut and Pie styles (see setBarStyle() function). More...
|
| |
| void | setFormat (const QString &format) |
| | Defines the string used to generate the current text. If no format is set, no text will be shown. More...
|
| |
|
void | resetFormat () |
| | Sets format string to empty string. No text will be shown therefore. See setFormat() for more information.
|
| |
|
QString | format () const |
| | Returns the string used to generate the current text.
|
| |
| void | setDecimals (int count) |
| | Sets number of decimals to show after the comma (default is 1). More...
|
| |
| int | decimals () const |
| | Returns number of decimals to show after the comma (default is 1). More...
|
| |
| double | value () const |
| | Returns current value shown on the widget. More...
|
| |
| double | minimum () const |
| | Returns minimum of the allowed value range. More...
|
| |
| double | maximum () const |
| | Returns maximum of the allowed value range. More...
|
| |
The QRoundProgressBar class represents a circular progress bar and maintains its API similar to the QProgressBar.
Styles
QRoundProgressBar currently supports Donut, Pie and Line styles. See setBarStyle() for more details.
Colors
Generally QRoundProgressBar uses its palette and font attributes to define how it will look.
The following QPalette members are considered:
- QPalette::Window background of the whole widget (normally should be set to Qt::NoBrush)
- QPalette::Base background of the non-filled progress bar area (should be set to Qt::NoBrush to make it transparent)
- QPalette::AlternateBase background of the central circle where the text is shown (for Donut style)
- QPalette::Shadow foreground of the non-filled progress bar area (i.e. border color)
- QPalette::Highlight background of the filled progress bar area
- QPalette::Text color of the text shown in the center
Create a QPalette with given attributes and apply it via setPalette()
.
Color gradient
Donut and Pie styles allow to use color gradient for currernt value area instead of plain brush fill. See setDataColors() for more details.
Value text
Value text is generally drawn inside the QRoundProgressBar using its font()
and QPalette::Text role from its palette()
.
To define pattern of the text, use setFormat() function (see Qt's QProgressBar for more details).
To define number of decimals to be shown, use setDecimals() function.
Font
To use own font for value text, apply it via setFont()
.
By default, font size will be adjusted automatically to fit the inner circle of the widget.


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|
Field InterrogationFor decades, the training of rookie police officers has been largely an accidental process. New recruits are paired with veteran patrolmen and then thrust suddenly into the public view. Taking someone into custody for the first time can be a thrilling experience, but what's the best way to proceed? The new patrolman is often amazed by the ability of his senior partner to pluck suspicious persons from a crowd and bring them down to the station with ease. Although a seasoned officer might attribute these skills to experience or intuition, there still exists an essential, immediate need to develop the rookie's field interrogation technique. Field interrogation, quite simply, is a conversation which takes place
in the area where you, the police officer, first encounter your proposed arrest
target. It can be right there on the street, in a public commercial plaza -
even an automobile! You - the patrolman - are authorized to detain any person whom you have
reasonable cause to suspect is committing, has committed, or is contemplating
committing a crime. You may demand his name, address, and occupation. As
a rookie, it becomes your responsibility to contort the actions, dress, and
location of any given person in such a way that he or she can be classified
as or a threat to community safety. Are you kids late for class? Looks to me like you're fleeing the scene of a crime! What's in the lunchbox?  If you're a pregnant woman with an unsightly tummy bulge, be prepared to get strip searched for any concealed weapons. Persons wearing baggy, bulky, unsightly or off-seasonal clothing are subway taggers, skateboarders, and shoplifters. Those dressed in religious garb, jingling UNICEF cans from door to door are home invaders. And persons snoozing with apparent remorse in door frames, atop high places, near deep water or railroad crossings? They're contemplating suicide. Persons showing evidence of recent injury (or whose clothing is disheveled) may be perpetrators of an assault or gangbang. At the scene of a fire, any persons who show excess (or lack of) emotion, or those whose pants show traces of recent excitement or ejaculatory splork might be pyromaniacs. And it's widely known within the department that well over ninety-five percent of incarcerated subjects don't own a wristwatch.  They're largely unemployed or otherwise unconcerned with a the concept fo maintaining a regular schedule. Some can't even tell you what day of the week it is! Can you imagine that? Tattoos on your subject offer immediate, physical indications of previous crime habits and indicate future criminal intent. Juvenile and adult gang members alike tattoo themselves during incarceration, and a knowledge of this ritual (as well as the meaning of specific symbols or patterns encountered) will undoubtedly aid you as you pursue more and more arrests. Jailhouse tattoos may be distinguished from a professional tattoo in several ways. The professional tattoo will exhibit finer, more distinct, black outlines. The professional tattoo will have depth, style, clarity. The overall design will exhibit both exquisite form and believable proportion. The professional tattoo artist will usually never place a tattoo on the hands or face, nor will the professional indulge in lewd patterns, swear words, Nazi iconography, and the like. Because inks are not obtainable in prison, inmates are limited by dyes or tints which can be improvised. Newspaper print from the Sunday funnies are often scraped and soaked in a communal toilet. This produces a liquid which can be dried later on to obtain crude ink. An ordinary safety pin is the instrument most often used for tattooing in prison. These crude instruments produce readily distinguishable tattoos, but piss-poor inks always yield wide or diffused lines and blue-greenish discoloration. Certain patterns and locations for tattooing can indicate both a criminal
lifestyle and ongoing intent to defraud society. Keep in mind, a subject's refusal to answer your questions about his tattoos, in and of itself, is one circumstance which allows you to arrest him for vagrancy. The Supreme Court has declared it's the duty of every citizen, when called
upon, to disclose all the personal information in his power to the police. And
fortunately, in states like Delaware, New Hampshire and Rhode Island, the length
of a field interrogation can last up to two hours. "But
why?" For instance, an intoxicated person always warrants investigation. It should be remembered that a drunk usually loses any fear or apprehension of authority he may have had when sober, and for this reason believes himself invulnerable to threats and unimpressed with the officer's presence. Like homosexuals, such persons can be most susceptible to flattery and sympathy - especially if an officer intimates that (a) the victims were clearly tempting the suspect, or (b) hints at the possibility of some kind of blowjob/confession exchange program. Down at the station, of course! Mentally
defective, feeble minded, senile, or psychotic persons are perfect subjects
for field interrogation. However, an officer must be sure to simplify his vocabulary
and use short questions as required by the subject's span of attention. The
use of questions must be avoided because they only produce erroneous
answers. Often a retarded person raised in a criminal environment will barely
understand popular vernacular. The
questioning of ethnic minorities is a very sensitive subject, indeed
one which requires careful study, great patience, and practice, practice, practice.
A belligerent attitude must be avoided, and usually only a friendly or sympathetic
approach produces the desired results. The most successful method of interrogating
persons of color is for an officer to make the subject feel as if he or she
is being verbally beaten down like a suburban white kid who's only emulating
the subtle cultural nuances of a minority group. You should be prepared for a variety of reactions when you approach someone for interrogation. Occasionally, your target may exhibit an overly friendly, even child-like attitude, punctuating his conversation with an excess of "no sir" and "yes sir" replies in a desperate attempt to show respect and obtain your favor. Overly solicitous juveniles should be incarcerated with extreme prejudice. Further conversation may reveal that he uses the word "sir" in excess only because prior stretches in prison have trained him against the dangers of becoming someone else's property. An
officer should never attempt to conduct field interrogation on a female
subject when he's alone. As a general rule, women become far more angry
at being selected for interrogation than their male counterparts. In retaliation,
female subjects suspected of prostitution can claim you made improper advances,
or were abusive in some fashion. The truth is, everyone lies! A word-for-word repetition of an untruthful person's story indicates an overly-prepared alibi. Such a narrative unravels if you ask the subject to repeat it backwards. The most successful method of handling someone who lies is to point out all the obvious signs of his untruthfulness. Each physiological indication of lying should be mentioned directly: dry mouth, excessive perspiration, a change in facial color, continual swallowing, twitching lips, a noticeable pulse beat in the temples, or dark stains spreading slowly across the trousers. Call his immediate attention to cliched statements such as "I swear on my mother's grave," or, "you're standing on my neck." A brand new cop in a brand new uniform may feel reluctant to place people under arrest, for fear of being called "eager" by older, less energetic officers. But the arrest artists who are most successful at field interrogation have trained themselves in the required techniques. The increasing ability of an officer to conduct field interrogation depends on the extent to which he combines natural curiosity and experimentation with good old fashioned don't-give-a-shitsmanship. Yes, it can be difficult for a rookie to learn the art of arrest from his seasoned partner. Often the senior officer may not have mastered the techniques himself, or he may not possess the instructional ability required to relay the necessary information.  Problems occur only when the senior officer does not - or cannot - explain why he singled out a certain subject for questioning. Experienced patrolmen might attribute selection of subjects to something as intangible as a "hunch," while others conceal their secrets in an attempt to mystify you. With new jails being built every month, now more than ever what's needed is a daily commitment to being your own officer. Our citizens demand airtight dedication to filling our woefully unpopulated prison cells and holding tanks, one criminal at a time. |


{
"mario": {
"can_fly": 0,
"inside_castle": 0,
"cage_key": null,
"_id": 18957422
},
"luigi": {
"can_fly": 1,
"inside_castle": 0,
"cage_key": null,
"_id": 92198464
},
"bowser": {
"can_fly": 0,
"inside_castle": 1,
"cage_key": "NOT_THE_REAL_CAGE_KEY_69420",
"_id": 27841365
}
}
METHOD -> POST
user
METHOD -> POST
uid
METHOD -> POST
conf
METHOD -> POST
uid
METHOD -> POST
none (reads SESSION data and responds accordingly)
METHOD -> POST
uid


Have questions about Compassion Closet? Check out the frequently asked questions below!
FAQWhere is Compassion Closet located?
- There are currently 5 locations serving East Tennessee.
When is Compassion Closet open?
- Hours vary by location. Please visit our Contact page for open times.
What items do you accept?
- There are currently 5 locations serving East Tennessee.
How are financial donations used?
- There are currently 5 locations serving East Tennessee.
Is my donation tax-deductible?
- There are currently 5 locations serving East Tennessee.
What happens to items Compassion Closet can't use?
- There are currently 5 locations serving East Tennessee.
How are financial donations used?
- There are currently 5 locations serving East Tennessee.
I'm interested in being a foster parent. Where can I find more information?
- Visit kafcam.org for more information on becoming a foster parent.


Prediction Result
{% if answer %}
Flight will get delayed
{% else %}
Flight will not get delayed
{% endif%}


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