Iowa woman gets 50 years in prison for 1992 beating death of former boyfriend | Honolulu Star-Advertiser
MUSCATINE, IOWA >> An Iowa grandmother convicted of the 1992 killing of her former boyfriend has been sentenced to 50 years in prison, which was the maximum allowed.
The Muscatine Journal reports that 56-year-old Annette Cahill showed no emotion when she was sentenced Friday.
Following a mistrial earlier this year, Cahill was convicted in September of second-degree murder in the baseball bat beating death of 22-year-old bartender Corey Wieneke. Her attorney says she plans to appeal.
Police have said Cahill had been in an intimate relationship with Wieneke and that they had a heated argument about his involvement with another woman. Wieneke was found dead on the floor of his bedroom in rural West Liberty in October 1992.
The case against Cahill relied on testimony from a woman who said she was 9 years old when she overheard Cahill confess to killing Wieneke.


Git vs GitHub
Enumerable Methods
Site Update
CSS Concepts
Ruby Classes
Arrays & Hashes
Looping
Issues in Tech
Computer Memory


|
| Local Properties | Local Methods | |
| Managed Object Types | Data Object Types | All Properties | All Methods |
Note: This managed object is useful only on platforms where resource management controls are available to optimize the running of virtual machines.
Properties
| Name | Type | Description |
|---|---|---|
| hyperthreadInfo* | HostHyperThreadScheduleInfo |
The hyperthread configuration for the CpuSchedulerSystem. The
existence of this data object type indicates if the CPU scheduler
is capable of scheduling hyperthreads as resources.
|
| Properties inherited from ExtensibleManagedObject | ||
| availableField, value |
Methods
| Methods defined in this Managed Object |
|---|
| DisableHyperThreading, EnableHyperThreading |
| Methods inherited from ExtensibleManagedObject |
| setCustomValue |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the HostCpuSchedulerSystem used to make the method call. |
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| NotSupported | Thrown if the hyperthreading optimization is not available on the host (the boolean available is set to false). |
| 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 HostCpuSchedulerSystem used to make the method call. |
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| NotSupported | Thrown if the hyperthreading optimization is not available on the host (the boolean available is set to false). |
| 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 |


Activity information is collected for any activity that violates a threshold that is defined with a COLLECT clause. Show the detailed information about the activities that violated a threshold using the following query.
Notice that the activity that violated the th_estcost (EstimatedSqlCost) threshold is not shown. The reason is because that threshold did not specify the COLLECT ACTIVITY DATA clause so no activity data was collected for that activity.


Scripts¶
There are a number of command-line scripts that come with PyPulse for convenience. More to come!
fitsheader_to_txt¶
Prints out the PSRFITS file header information
fits_to_npy¶
Converts the data within a PSRFITS file into a .npy file. No metadata are stored with the file.
pypav¶
Like PSRCHIVE’s pav routine, this will provide plots of a PSRFITS file.
partytricks¶
This will take a Par file and calculate the number of pulses from a given time. It can also calculate the eccentricity errors if available


Blockly C++
Current File: Main.cpp
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|
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Create A New File...
Please enter a valid file name.
Save All Files...
(Warning!!! Certain browsers will not save over existing files in local user directory. Please ensure file names have saved correctly.)
Load File(s)...
(Warning!!! Creating a new project will remove all current files. All files which have not been saved will be lost.)
(Warning!!! Merging files with duplicate names will replace existing files. Any replaced file that has not been saved will be lost.)
Rename A File...
Please choose a file to rename and enter a valid new name.
Please enter a valid file name:
Delete A File...
Please choose a file to remove.
(Warning!! Deleted files can not be recovered.)


User Holiday Amount
Close
User
Start date
End date
Amount (hours)
Description
Save
Users
User
Current time ranges only:
Filter
User
Start date
End date
Amount (in hours)
Description
Add
balazs.zsoldos
2016-01-01
2016-12-31
320
Got it because of children
Edit
Delete
Clone
No data to show


Manage Address will be available on next WMCC-Desktop Minor (v1.1.0-beta.1) Update:
Functions will be added:
- Create PubKeyHash, ScriptHash, WitnessPubKeyHash and WitnessScriptHash Address
- Export publickey/privatekey from wallet
- Import publickey/privatekey to wallet
- Remove address from wallet


Browserify Watch support with React
To get Watchify to work reliably, robustly and fast with Reactify and BrowserSync - by reliably, I mean where it would not crash or halt after any error occurs during React compilation, and by fast, I mean that it would only re-compile the bits that changed - known as incremental compilation. Here's the Gulp task:
gulp.task('scripts-watch', function() {
bundler = watchify(bundler);
bundler.on('update', function() {
bundler.bundle()
.on('error', function(e) { console.log(e.message); this.emit('end'); })
.pipe(source('app.js'))
.pipe(gulp.dest('./app/scripts/bundles'))
.pipe(browserSync.reload({ stream: true }));
});
});
The .on('error', ...)
bit is key to prevent React compilation from crashing the watch. The browserSync.reload
will reload the page on all open browser tabs.
The server
task is as follows:
gulp.task('serve', ['styles', 'lib', 'scripts', 'scripts-watch'], function () {
browserSync({
notify: false,
logPrefix: 'BF', // short for BenFletcher.com
server: ['.tmp', 'app']
});
gulp.watch(['app/**/*.html'], browserSync.reload);
gulp.watch(['app/styles/**/*.{scss,css}'], ['styles', browserSync.reload]);
gulp.watch(['app/images/**/*'], browserSync.reload);
});
Hope it helps. You may wonder why I'm using Watchify, the reason is simple: Watchify has incremental compilation support meaning it will only compile things that have changed.


Some quick example text to build on the card title and make up the bulk of the card's content.
More InfoSome quick example text to build on the card title and make up the bulk of the card's content.
More InfoSome quick example text to build on the card title and make up the bulk of the card's content.
More Info


My name is Christiane Kammerl and I moved to San Francisco in 2012. Before joining DBC, I worked as Account Manager at an international communications agency.
I like to be outdoors and very much enjoy hiking and sailing in the Bay Area.


Click this button to check if the path and the command line parameters are correct.
If all is well, the compiler version is displayed. Otherwise, an error message is shown. (Using the path and the
parameters specified, IntelliJ IDEA tries to launch the compiler with the additional
-version
parameter.)


spinehx.attachments
AtlasAttachmentLoader
Attachment
AttachmentLoader
AttachmentType
AttachmentTypes
Mode
Modes
NumberUtils
RegionAttachment
RegionSequenceAttachment


Class Autocomplete
Renders an overlay on another view at a given point that allows selecting
from a range of 'autocomplete' options.
Inheritance
System.Object
Autocomplete
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: Terminal.Gui
Assembly: Terminal.Gui.dll
Syntax
public class Autocomplete
Properties
AllSuggestions
The full set of all strings that can be suggested.
Declaration
public List<string> AllSuggestions { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Collections.Generic.List<System.String> |
CloseKey
The key that the user can press to close the currently popped autocomplete menu
Declaration
public Key CloseKey { get; set; }
Property Value
| Type | Description |
|---|---|
| Key |
ColorScheme
The colors to use to render the overlay. Accessing this property before
the Application has been initialised will cause an error
Declaration
public ColorScheme ColorScheme { get; set; }
Property Value
| Type | Description |
|---|---|
| ColorScheme |
MaxHeight
The maximum number of visible rows in the autocomplete dropdown to render
Declaration
public int MaxHeight { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int32 |
MaxWidth
The maximum width of the autocomplete dropdown
Declaration
public int MaxWidth { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int32 |
ScrollOffset
When more suggestions are available than can be rendered the user
can scroll down the dropdown list. This indicates how far down they
have gone
Declaration
public int ScrollOffset { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int32 |
SelectedIdx
The currently selected index into Suggestions that the user has highlighted
Declaration
public int SelectedIdx { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int32 |
SelectionKey
The key that the user must press to accept the currently selected autocomplete suggestion
Declaration
public Key SelectionKey { get; set; }
Property Value
| Type | Description |
|---|---|
| Key |
Suggestions
The strings that form the current list of suggestions to render
based on what the user has typed so far.
Declaration
public ReadOnlyCollection<string> Suggestions { get; protected set; }
Property Value
| Type | Description |
|---|---|
| System.Collections.ObjectModel.ReadOnlyCollection<System.String> |
Visible
True if the autocomplete should be considered open and visible
Declaration
protected bool Visible { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Methods
ClearSuggestions()
Clears Suggestions
Declaration
public void ClearSuggestions()
EnsureSelectedIdxIsValid()
Updates SelectedIdx to be a valid index within Suggestions
Declaration
public void EnsureSelectedIdxIsValid()
GenerateSuggestions(TextView)
Populates Suggestions with all strings in AllSuggestions that
match with the current cursor position/text in the
hostControl
Declaration
public void GenerateSuggestions(TextView hostControl)
Parameters
| Type | Name | Description |
|---|---|---|
| TextView | hostControl | The text view that you want suggestions for |
IsWordChar(Rune)
Return true if the given symbol should be considered part of a word
and can be contained in matches. Base behaviour is to use System.Char.IsLetterOrDigit(System.Char)
Declaration
public virtual bool IsWordChar(Rune rune)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Rune | rune |
Returns
| Type | Description |
|---|---|
| System.Boolean |
ProcessKey(TextView, KeyEvent)
Handle key events before
hostControl
e.g. to make key events like
up/down apply to the autocomplete control instead of changing the cursor position in
the underlying text view.
Declaration
public bool ProcessKey(TextView hostControl, KeyEvent kb)
Parameters
| Type | Name | Description |
|---|---|---|
| TextView | hostControl | |
| KeyEvent | kb |
Returns
| Type | Description |
|---|---|
| System.Boolean |
RenderOverlay(View, Point)
Renders the autocomplete dialog inside the given
view
at the
given point.
Declaration
public void RenderOverlay(View view, Point renderAt)
Parameters
| Type | Name | Description |
|---|---|---|
| View | view | The view the overlay should be rendered into |
| Point | renderAt |


With the Marvel Pages, start informing yourself about who shows up every time there is a threat, wether it's a hero or a villain...


Template Based Segmentation
Segmentation Models
Marketing plans
Template Based Segmentation
Segmentation Models
Template Based Segmentation
Segmentation Models


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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface ResourceBroker
An instance of this class is used to submit Job
s or to reserve
Resource
s. A ResourceBroker
can be created using the factory
methods of the GAT
object (for instance
GAT.createResourceBroker(gatContext, preferences, brokerURI)). Each
ResourceBroker
has a location which can be expressed using a
URI
. This URI
should be passed to the factory method.
First of all, the ResourceBroker
can be used to submit Job
s.
A Job
is described by a JobDescription
. Using the one of the
submitJob methods of the ResourceBroker
, one can create a
Job
out of the JobDescription
.
The ResourceBroker
can also be used to reserve Resource
s. A
Resource
can either be a HardwareResource
or a
SoftwareResource
. A SoftwareResource
is simply an
executable, therefore it makes little sense to reserve such. Thus, an
instance of this class can currently only reserve a hardware resource.
If one wishes to reserve a HardwareResource
, one must first describe
it. This is accomplished by creating an instance of the class
HardwareResourceDescription
. After creating such an instance, one
must specify the time period for which one wishes to reserve the
HardwareResource
. This is accomplished by creating an instance of
the class TimePeriod
, which specifies the time period for which one
wishes to reserve the HardwareResource
. Finally, one must obtain a
reservation for the desired HardwareResource
for the desired
TimePeriod
. This is accomplished by calling the method
reserveHardwareResource() on an instance of the class ResourceBroker
with the appropriate instance of HardwareResourceDescription
and the
appropriate instance of TimePeriod
.
In addition, an instance of this class can be used to find
HardwareResource
s. This is accomplished by creating an instance of
the class HardwareResourceDescription
which describes the
HardwareResource
that one wishes to find. After creating such an
instance, one must find the corresponding HardwareResource
. This is
accomplished by calling the method findHardwareResources() on an instance of
the class ResourceBroker
with the appropriate instance of
HardwareResourceDescription
.
| Method Summary | |
|---|---|
List<HardwareResource> |
findResources(ResourceDescription resourceDescription)
This method attempts to find one or more matching HardwareResource s. |
Reservation |
reserveResource(ResourceDescription resourceDescription,
TimePeriod timePeriod)
This method attempts to reserve the specified Resource for the
specified TimePeriod . |
Reservation |
reserveResource(Resource resource,
TimePeriod timePeriod)
This method attempts to reserve the specified Resource for the
specified TimePeriod . |
Job |
submitJob(AbstractJobDescription description)
This operation takes a JobDescription , and submits the specified
job to some underlying resource management or allocation system. |
Job |
submitJob(AbstractJobDescription description,
MetricListener listener,
String metricDefinitionName)
This operation takes a JobDescription , and submits the specified
job to some underlying resource management or allocation system. |
| Method Detail |
|---|
Reservation reserveResource(ResourceDescription resourceDescription, TimePeriod timePeriod) throws GATInvocationException
Resource
for the
specified TimePeriod
. Upon reserving the specified
Resource
this method returns a Reservation
. Upon failing
to reserve the specified resource this method returns an error.
resourceDescription
- A description, a ResourceDescription
, of the
HardwareResource
to reservetimePeriod
- The time period, a TimePeriod
, for which to
reserve the HardwareResource
Reservation
object that describes the reserved
Resource
GATInvocationException
- a remote problem occurredReservation reserveResource(Resource resource, TimePeriod timePeriod) throws GATInvocationException
Resource
for the
specified TimePeriod
. Upon reserving the specified
Resource
this method returns a Reservation
. Upon failing
to reserve the specified resource this method returns an error.
resource
- The Resource
to reserve.timePeriod
- The time period, a TimePeriod
, for which to
reserve the HardwareResource
Reservation
object that describes the reserved
Resource
GATInvocationException
- Thrown upon problems accessing the remote instance
GATInvocationException
- a remote problem occurredList<HardwareResource> findResources(ResourceDescription resourceDescription) throws GATInvocationException
HardwareResource
s. Upon finding the specified
HardwareResource
(s) this method returns a List
of HardwareResource
instances. Upon failing to find the specified
HardwareResource
this method returns an error.
resourceDescription
- A description, a ResourceDescription
, of the
Resource
(s) to find
List
of Resource
s upon success
GATInvocationException
- Thrown upon problems accessing the remote instanceJob submitJob(AbstractJobDescription description) throws GATInvocationException
JobDescription
, and submits the specified
job to some underlying resource management or allocation system. On
success, a Job
instance is returned, which represents the job.
Upon failing to submit the job, an exception is issued.
In former releases some resource broker adaptors would check the
"resourcebroker.jobmanager" property to see to which jobmanager (e.g.,
fork, pbs, condor) should be used. This has been deprecated. Use the
brokerURI which you have to set while creating the ResourceBroker
instead.
description
- The job description (JobDescription
).
Job
object that is a handle to the task that was
submitted
GATInvocationException
- a remote problem occurredJob submitJob(AbstractJobDescription description, MetricListener listener, String metricDefinitionName) throws GATInvocationException
JobDescription
, and submits the specified
job to some underlying resource management or allocation system. On
success, a Job
instance is returned, which represents the job.
Upon failing to submit the job, an exception is issued. The
MetricListener
listening to the Metric
defined by the
metricDefinitionName is attached to the Job
as soon as it is
created. This has the big advantage that Metric
s that are fired
during the submitJob can be caught in the provided listener.
If one, for instance, would like to listen to the state of a Job
,
using the "job.status" metricDefinitionName, during the submitJob the
Metric
containing the state PRE_STAGING will be fired. This state
can only be caught in the listener, if the listener is directly provided
with the submitJob invocation.
In former releases some resource broker adaptors would check the
"resourcebroker.jobmanager" preference to see to which jobmanager (e.g.,
fork, pbs, condor) should be used. This has been deprecated. Use the
brokerURI which you have to set while creating the ResourceBroker
instead.
description
- The job description.listener
- A metric listener that listens to the returned jobmetricDefinitionName
- The name of the metric the listener listens to
GATInvocationException
- a remote problem occurred
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% extends "base.html" %} {% comment %} This file just highlights how you might use an array of dropzone keys to send over to a view to attach the DropzoneImage instances to your other models, etc. {% endcomment %} {% block extrahead %} {% endblock extrahead %} {% block content %}


Federal disability aid an elusive solution
Dec. 6, 2016 | By Kurtis Alexander
S.F. is boosting efforts to help thousands eligible for SSI payments qualify and get off the streets
Brian Devlin and his girlfriend, Ashley Borst, are trying to get federal disability assistance to continue their rebound from homelessness. Liz Hafalia, The Chronicle
{% include '_text/federal.html' %}
{{ related.story("After Division Street: No simple path to ending tent cities", 'http://projects.sfchronicle.com/sf-homeless/division-street/', 'http://projects.sfchronicle.com/sf-homeless/static/images/division-street/thumb.jpg') }}
{{ related.story("Interactive map: 7 lives, 7 paths, little change", 'http://projects.sfchronicle.com/sf-homeless/division-street-map/', 'http://projects.sfchronicle.com/sf-homeless/static/images/division-street-map/thumb.gif') }}
{{ related.story("Chronicle investigation: Aging hotels, chronic problems", 'http://projects.sfchronicle.com/sf-homeless/hotels', 'http://projects.sfchronicle.com/sf-homeless/static/images/hotels/thumb.jpg') }}
{{ related.story("Long-term view: A problem that looked the same 20 years ago", 'http://projects.sfchronicle.com/sf-homeless/overview', 'http://projects.sfchronicle.com/sf-homeless/static/images/setup/01_thumb.jpg' ) }}
{{ related.story("Supportive housing: What would it take to solve homelessness?", 'http://projects.sfchronicle.com/sf-homeless/supportive-housing', 'http://projects.sfchronicle.com/sf-homeless/static/images/supportive/thumb.jpg') }}
{{ related.story("Mental illness: Are the most destitute people treatable?", 'http://projects.sfchronicle.com/sf-homeless/mental-health', 'http://projects.sfchronicle.com/sf-homeless/static/images/mental/thumb.jpg') }}
{{ related.story("Shelter system: Can a smarter model find success?", 'http://projects.sfchronicle.com/sf-homeless/shelters', 'http://projects.sfchronicle.com/sf-homeless/static/images/shelters/thumb.jpg') }}
{{ related.story("Law enforcement: Can stricter rules curb the crisis?", 'http://projects.sfchronicle.com/sf-homeless/encampments', 'http://projects.sfchronicle.com/sf-homeless/static/images/camping/thumb.jpg') }}
{{ related.story("Data analysis: How many people live on our streets?", 'http://projects.sfchronicle.com/sf-homeless/numbers', 'http://projects.sfchronicle.com/sf-homeless/static/images/data/10_thumb.jpg' ) }}
{{ related.story("Photographer’s lens: Portraits of life on SF's streets", 'http://projects.sfchronicle.com/sf-homeless/faces-of-the-streets', 'http://projects.sfchronicle.com/sf-homeless/static/images/portraits/07_thumb.jpg' ) }}
{{ related.story("Interactive guide: How to help homeless people in Bay Area", 'http://projects.sfchronicle.com/sf-homeless/how-to-help/', 'http://projects.sfchronicle.com/sf-homeless/static/images/how-to-help/thumb.jpg') }}
{{ related.story("Election 2016: How the candidates view homelessness", 'http://projects.sfchronicle.com/2016/candidates-homeless-survey/', 'http://projects.sfchronicle.com/2016/candidates-homeless-survey/assets/social.jpg') }}
{{ related.story("In their voices: How SF's last 5 mayors tackled homelessness", 'http://projects.sfchronicle.com/sf-homeless/letters-from-the-mayors', 'http://projects.sfchronicle.com/sf-homeless/static/images/insight/thumb.jpg' ) }}
{{ related.story("Editorial: Homelessness remains a civic disgrace", 'http://projects.sfchronicle.com/sf-homeless/civic-disgrace', 'http://projects.sfchronicle.com/sf-homeless/static/images/editorial/thumb.png' ) }}
{{ related.story("Letter to the City: The time to act is now", 'http://projects.sfchronicle.com/sf-homeless/letter-to-the-city/', 'http://projects.sfchronicle.com/sf-homeless/static/images/social/letter-to-the-city.jpg') }}
{% include '_components/_footer.html' %}


Start Bootstrap
Logout
QRcode Info
QRcode Image
Add Admin
Create Time Table
Add lecturer
Add Halls
Add Programs/Courses
Signup Staff
View Time table
Dashboard
Charts
{{response}}
{{error1}}
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Submit
Search
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#
Lecturer name
Courses
Actions
{{key + 1}}
{{lecturer.name}}
{{course_code.course_code}}
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Select "Logout" below if you are ready to end your current session.
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PUT https://apis.wso2.com/api/am/store/v1/alerts/{alertType}/configurations/{configurationId}
This operation is used to add configuration for the AbnormalRequestsPerMin alert type.
apim:sub_alert_manage
PUT https://localhost:9443/api/am/store/v1/alerts/AbnormalRequestCount/configurations/UGl6emFTaGFja0FQSSMxLjAuMCNEZWZhdWx0QXBwbGljYXRpb24 HTTP 1/1
Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2
Content-Type: application/json
{
"requestCount" : "12112",
"apiName" : "PizzaShackAPI",
"apiVersion" : " 2.0",
"applicationName" : "DefaultApplication"
}
HTTP 1/1 200 OK
Content-Type: application/json
{
"configurationId" : "YWRhZGEjIDIuMCNEZWZhdWx0QXBwbGljYXRpb24",
"configuration" : {
"requestCount" : "12112",
"apiName" : "PizzaShackAPI",
"apiVersion" : " 2.0",
"applicationName" : "DefaultApplication"
}
}
curl -k -v -X PUT 'https://localhost:9443/api/am/store/v1/alerts/AbnormalRequestCount/configurations/UGl6emFTaGFja0FQSSMxLjAuMCNEZWZhdWx0QXBwbGljYXRpb24' -H 'Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2' -H 'Content-Type: application/json' -d @payload.json
| Type | Name | Description | Schema | Default |
|---|---|---|---|---|
| Path |
alertType required |
The alert type. |
String | |
| Path |
configurationId required |
The alert configuration id. |
String | |
| Body |
body required |
Configuration for AbnormalRequestCount alert type |
AlertConfigInfo (AlertConfigInfo) |
| HTTP Code | Description | Schema |
|---|---|---|
201 |
Created. Successful response with newly created object as entity. Location header contains URL of newly created entity. |
AlertConfig |
400 |
Bad Request The request parameters validation failed. |
Error |
500 |
Internal Server Error An error occurred while retrieving subscribed alert types by user. |
Error |
DELETE https://apis.wso2.com/api/am/store/v1/alerts/{alertType}/configurations/{configurationId}
This operation is used to delete configuration from the AbnormalRequestsPerMin alert type.
apim:sub_alert_manage
DELETE https://localhost:9443/api/am/store/v1/alerts/AbnormalRequestCount/configurations/UGl6emFTaGFja0FQSSMxLjAuMCNEZWZhdWx0QXBwbGljYXRpb24 HTTP 1/1
Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2
Content-Type: application/json
Not Available
curl -k -v -X DELETE 'https://localhost:9443/api/am/store/v1/alerts/AbnormalRequestCount/configurations/UGl6emFTaGFja0FQSSMxLjAuMCNEZWZhdWx0QXBwbGljYXRpb24' -H 'Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2' -H 'Content-Type: application/json'
| Type | Name | Description | Schema | Default |
|---|---|---|---|---|
| Path |
alertType required |
The alert type. |
String | |
| Path |
configurationId required |
The alert configuration id. |
String |
| HTTP Code | Description | Schema |
|---|---|---|
200 |
OK. The alert config is deleted successfully. |
|
400 |
Bad Request The request parameters validation failed. |
Error |
404 |
Not Found. The provided alert configuration is not found. |
Error |
500 |
Internal Server Error An error occurred while retrieving subscribed alert types by user. |
Error |
GET https://apis.wso2.com/api/am/store/v1/alerts/{alertType}/configurations
This operation is used to get all configurations of the AbnormalRequestsPerMin alert type.
apim:sub_alert_manage
GET https://localhost:9443/api/am/store/v1/alerts/AbnormalRequestCount/configurations HTTP 1/1
Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2
HTTP 1/1 200 OK
Content-Type: application/json
{
"count" : 1,
"list" : [ {
"configurationId" : "UGl6emFTaGFja0FQSSsxLjAuMCtEZWZhdWx0QXBwbGljYXRpb24K",
"configuration" : {
"apiName" : "PizzaShackAPI",
"apiVersion" : "1.0.0",
"applicationName" : "DefaultApplication",
"requestConunt" : "12"
}
} ]
}
curl -k -v -X GET 'https://localhost:9443/api/am/store/v1/alerts/AbnormalRequestCount/configurations' -H 'Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2'
| Type | Name | Description | Schema | Default |
|---|---|---|---|---|
| Path |
alertType required |
The alert type. |
String |
| HTTP Code | Description | Schema |
|---|---|---|
200 |
OK. The store alert configuration. |
AlertConfigList |
500 |
Internal Server Error An error occurred while retrieving subscribed alert types by user. |
Error |


:: com :: sun :: star :: mozilla ::
|
| interface XMenuProxy |
- Base Interfaces
XMenuProxy
┗ ::com::sun::star::lang::XComponent
| ::com::sun::star::lang::XComponent |
- (referenced interface's summary:)
- allows to exclicitly free resources and break cyclic references.
|
|
- Description
- Allows to execute dispatch for a menu item
and handles listeners for changes in menu items.
|
| Methods' Details |
executeMenuItem
| void |
| executeMenuItem( |
[in] short |
ID ); |
- Description
- Executes dispatch for the given menu id
- Parameter ID
- [in]: the menu item
|
|
addMenuProxyListener
- Description
- Registers an event listener, which will be called when the menu changes
- Parameter xListener
- [in]: the listener to be set
|
|
| removeMenuProxyListener
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Behrouz Boochani: how I got out of my Manus Island hell – video
by David Fanner
Behrouz Boochani, the Kurdish Iranian refugee and journalist who became the voice of those incarcerated by Australia on Manus Island, has landed in New Zealand. Over months, an international effort helped to coordinate his long flight to freedom. ‘Now I am free,’ Boochani tells Guardian Australia reporter Ben Doherty. ‘When I arrived in Auckland it was very strange because for the first time I looked at Manus in a different way. I was thinking about surviving, how I survive. And I was happy that finally I survived.’
• Behrouz Boochani, brutalised but not beaten by Manus, says simply: ‘I did my best’


Preamble
We aim to be Highly Aligned, Loosely Coupled Organization
Align on the What, How, Why, Where, When and Who of System Tests
What
- High level tests
- Test the interaction of the entire system
- Exercise requirements of the system like an end user
- Acceptance Criteria
- Must be runnable in an environment that mirrors production
Test Pyramid
source: http://watirmelon.com/2012/01/31/introducing-the-software-testing-ice-cream-cone/
System Test Examples from gCampaign
Helper Functions
loginPass(username, password)
- Navigates to the root of the application
- Finds the authentication form
- Fills in username/password
- Submits form
- Asserts login was successful
addCampaign_pass(campagin)
- Navigates to the add campaign page
- Fills out the add campaign based on the given campaign
- Submits form
- Asserts creation was successful
addCampaign_fail(campagin)
- Navigates to the add campaign page
- Fills out the add campaign based on the given campaign
- Submits form
- Asserts creation failed
Successful Campaign Add
loginPass("admin", "test-admin-pass");
addCampaign_pass(campaigns.valid_campaign);
Bad Campaign Add
loginPass("admin", "test-admin-pass");
addCampaign_fail(campaigns.empty);
How
- With the code base but not part of the software
- Constructed to test an arbitrary server
- Strong preference for Selenium ecosystem
Why
- Once automated retesting is extremely simple
- Get QA involved earlier in the project
- Build alignment between how developers are building software and how QA tests the software
Where
- Convienent to run on developer machines but not sufficient
- Must run on environments that mirror production
- Totem will automate running these as part of the flow
When
- As soon as possible
- Bringing visibility to defects earlier means addressing them earlier
Who
- Objective of the team as the team gets the value
- QA will drive test creation
- Development should do what they can to help out QA
Already Started
- Truett presented how System Tests were implemented on iOS Limited Familiarity App
- Adam and Alex presented how System Tests were implemented on the Valcyte survey
- Suite of Selenium tests on gCampaign
Important Things to Remember
- Don't put blind faith in automated tests
- Individual machines and test environments are not production
- When a system test fails this means there is a missing test elsewhere in your system


2 Chronicles 8:5
Also he built Bethhoron the upper, and Bethhoron the nether, fenced cities, with walls, gates, and bars;


The following graphs are supplemental to Northern Powergrid's potential net zero scenarios interactive map. Each graph can be downloaded as a scalable-vector-graphic (SVG). The underlying data for each graph is also available as a CSV file.
Emissions
Low carbon technologies
Network data


BMI Equation: BMI = Weight（Kilograms） / Height^2(Meters)
Body mass index (BMI) is a measure of body fat based on your weight in relation to your height, and applies to most adult men and women aged 20 and over. For children aged 2and over , BMI percentile is the best assessment of body fat.
(if you want to know more, you need to login!)
click here for more infomation!


An example of "Hello, World!" applicationThis is the home page for an example application used to illustrate the source directory organization of a web application utilizing the principles outlined in the Application Developer's Guide. |
To prove that they work, you can execute either of the following links:


Before Change
// When concatenating, derive the size of each feature"s
// embedding from the number of values the embedding
// takes
feat_sizes = (int(feat_dict.size() ** feat_exp)
for feat_dict in feature_dicts)
else:
// sum feature merge (for now, the same as the old option
// for merging features in OpenNMT-py)
feat_sizes = (opt.feat_vec_size for feat_dict in feature_dicts)
After Change
emb_sizes.extend([opt.word_vec_size] * len(feature_dicts))
else:
// mlp feature merge
emb_sizes.extend([opt.feat_vec_size] * len(feature_dicts))
// apply a layer of mlp to get it down to the correct dim
self.mlp = nn.Sequential(onmt.modules.BottleLinear(
sum(emb_sizes),
opt.word_vec_size),


Mobile App
this is a vehicle hiring app taking for outstation ride and we are focusing nothorn side of srilanka


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SortCommand
Sort the elements contained in the List or Set value at key. By defaultsorting is numeric with elements being compared as double precisionfloating point numbers. This is the simplest form of SORT.
SORT mylist
Assuming mylist contains a list of numbers, the return value will bethe list of numbers ordered from the smallest to the bigger number.In order to get the sorting in reverse order use DESC:
SORT mylist DESC
ASC is also supported but it's the default so you don't really need it.If you want to sort lexicographically use ALPHA. Note that Redis isutf-8 aware assuming you set the right value for the LC_COLLATEenvironment variable.
Sort is able to limit the number of results using the LIMIT option:
SORT mylist LIMIT 0 10
In the above example SORT will return only 10 elements, starting fromthe first one (star is zero-based). Almost all the sort options canbe mixed together. For example:
SORT mylist LIMIT 0 10 ALPHA DESC
Will sort mylist lexicographically, in descending order, returning onlythe first 10 elements.
Sometimes you want to sort elements using external keys as weights tocompare instead to compare the actual List or Set elements. For examplethe list mylist may contain the elements 1, 2, 3, 4, that are justthe unique IDs of objects stored at object_1, object_2, object_3and object_4, while the keys weight_1, weight_2, weight_3 and weight_4can contain weights we want to use to sort the list of objectsidentifiers. We can use the following command:
SORT mylist BY weight_*
the BY option takes a pattern (weight_*
in our example) that is usedin order to generate the key names of the weights used for sorting.Weight key names are obtained substituting the first occurrence of *
with the actual value of the elements on the list (1,2,3,4 in our example).
Still our previous example will return just the sorted IDs. Often it isneeded to get the actual objects sorted (object_1, ..., object_4 in theexample). We can do it with the following command:
SORT mylist BY weight_* GET object_*
Note that GET can be used multiple times in order to get more keys forevery element of the original List or Set sorted.
Multi bulk reply, specifically a list of sorted elements.


DREME is a tool for discovering short regular expression motifs that are enriched in the provided dataset. It is limited to working with DNA or RNA as the large combination space for amino acids makes DREME's approach unfeasible. DREME also has the capability of using two datasets to find motifs that are enriched in one when compared to the other.
Note the following refers to the sequence set in which you are finding motifs as the positive sequences and to the control sequence set as the negative sequences.
DREME works best with lots of short (~100bp) sequences. If you have a couple of long sequences then it might be beneficial to split them into many smaller (~100bp) sequences. With ChIP-seq data we recommend using 100bp regions around the peaks.
DREME always uses a control sequence set but you don't have to supply it as DREME can create it by using di-nucleotide shuffling. If you wish to use your own sequence set then there are a few guidelines you should follow.
The sequence lengths of the control sequences should be roughly the same as the sequences to search for motifs. This is because the null model assumes that the probability of finding a match in a sequence in either sequence set will be roughly the same for an uninteresting motif. If the control sequences are longer this provides more locations that the motif could match making it more likely it will match and hence skewing the p-value calculations, possibly excluding a motif you would be interested in.


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In today’s dynamically changing data-driven environment, my comprehensive background can be a great asset in the workplace. I am ready to bring my extensive technical knowledge, project management techniques, and customer service skills to contribute to your progressing organization.
If you are seeking someone who can work with a wide range of programming languages and manage project deliveries, I want to talk to you. As a full-stack web developer certified by the University of Texas at Austin, I have completed advanced projects and mastered a large spectrum of frameworks including WordPress and other CMS development, JavaScript, HTML, PHP, CSS, Node, Express, MySQL, Heroku, and many more. I am actively creating single applications and contributing to team projects. As a freelance web developer, I achieved expertise in SEO, designing UI applications with mobile priority, digital marketing, online communications skills, and engaging customers.
I look forward to meeting with you and getting to know more about you.
Get in Touch!Along with CSS, this standard markup language is essential for web development!
An open source for server side programming and it interacts with many different languages including - MySql.
This language comes in handy with interactive features such as audio and video, games, scrolling abilities and page animations.
It's free and it manages databases with its open-source relational database management system.


Writing my first Stata plugin: A real world use case
I’m not the biggest fan of Stata. Though I use it every day for RA work, and Stata does shine when all you want to do is explore one data set (or a series of data sets that are easy to merge), it’s become increasingly apparent over time that whenever I want to do something complex or computationally intensive, it pales.
Mata makes many of the rougher corners of Stata rather bearable. However, optimizing Stata for a speedy run is really difficult. Enter Stata plugins.
What are Stata plugins?
A Stata plugin is pre-recompiled code, written in C or C++, that can interact with Stata using the “Stata Plugin Interface (SPI).” Stata provides a C source file and header that allows a C program to interact with Stata’s data sets and matrices.
The implementation is relatively crude. Stata can write/read to/from C one observation at a time from/to existing variables and matrices. Stata has pretty good documentation for the functionality of their plugins, and I will not repeat all of it here.
A simple hello world program would be as follows:
- Get a C compiler (
gcc
, the GNU Compiler Collection, is standard and should be included on Mac and Linux; look into MinGW if you are on Windows to usegcc
). - Download the Stata Splugin Interface (SPI) version 2 (Stata <= 13) or 3 (Stata >= 14).
- Version 2: stplugin.c, stplugin.h
- Version 3: stplugin.c, stplugin.h
- Create hello.c (Note you should have stplugin.h and stplugin.c in the same directory).
- Now from the command line, run
- Last, from Stata navigate to your working directory and run
Is it worth the hassle?
Stata says that it’s only worth it if you are replacing a lot of interpreted ado-code and the task is not very complex. Though I agree on the latter (complex tasks will likely take more time to code in C than the time they will save) I strongly disagree on the former.
Perhaps most people realize this, but my understanding of for loops in Stata is that they are run as if you printed each block within the for loop however many times you tell it to execute. Thus
may look like three lines of code, but it’s really equivalent to 1000. The reason I started using Stata plugins was to speed up a simulation. The C code is longer and the base case are only a handful of lines in Stata, but it’s painfully slow because the bulk of the computation takes place inside a loop that does a simulation.
Below I document a real-world use case where C was 50 times faster than Stata, so for me the work was definitely worthwhile.
A real world use case
Several of the projects I work on are Randomized Control Trials. It is standard to conduct a power analysis for such projects in order to put together a proposal, etc. Having a well-powered trial is essential for the success of an RCT.
Since RCTs can give you a truly independent treatment variable, we can recover the treatment effect via simple OLS. Though parametric methods are well known and widely used to estimate power under this setup, they rely on strong assumptions. When clustering or stratification are involved, specially when the number of clusters is not very large, parametric calculations can be inaccurate.
One suggestion I got was to simulate power. I won’t outline the full rationale (read about it here), but the crux of the idea is to simulate a large number of coefficients $b$ for the equation:
\[Y_{ij} = a + b T_{ij} + g X_{ij} + e_{ij}\]where at each step of the simulation, $T_{ij}$ is simulated so that there are $NP$ individuals/clusters in treatment and $(1 - P)N$ in control. Since treatment is assigned randomly, the resulting distribution is a sample of the true distribution of $b$ under the null $H_0: b = 0$.
This does not tell us anything about power by itself, but the confidence interval can be used as the basis of an iterative procedure to simulate power. Hence coding the simulation efficiently is crucial.
Why write a plugin?
The problem above is actually very simple to implement. In pseudo-code:
Though simple, doing this efficiently is impossible in Stata. There are three prominent issues:
-
There is no way to shuffle a vector in Stata. That’s not a thing. Variables all exist in relation to each other and sorting one variable randomly will sort the entire data set. Shuffling an entire data set is much slower than shuffling one vector.
-
There is no way to compute just the regression coefficients in Stata. Stata’s
regress
computes a host of things along with the least squares solution This adds unnecessary overhead. (I have asked about how to do this before; the suggestion I got was to runquietly regress, notable
which just controls what Stata outputs, not what it computes). -
It’s not obvious how to store the results, specially with Stata/IC. Though the buffer versions of Stata should be able to handle most simulations after setting a larger
matsize
, the fact matrix sizes are capped (and in Stata/IC capped at 800), makes the function difficult to code.
The solution in Stata would look like this
This is a hugely inefficient program!
Wait, can’t Mata handle these things?
Right, Mata is the elephant in the room. If you don’t know, Mata is a programming language that is shipped with every version of Stata and it can interact with Stata relatively easily. If you have ever used an object-oriented programming language then you will recognize Mata as a more standard programming language than Stata.
Mata does afford us some efficiency, but not a lot (yes, I know about
.mlib
files and that technically Stata compiles mata into bytecode
when read into memory, but I have never found the speed improvement to
be significant).
In this case, Mata will run faster largely because it can
-
Shuffle just a single vector.
-
Get the OLS coefficients without any additional computations.
The implementation is very straightforward:
There are two problems:
-
Matrix operations in Mata are not terribly fast (certainly not compered to a compiled language like C or even a JIT-compiled language like Julia). Yes, I know Mata uses LAPACK and BLAS underneath, but it’s still largely an interpreted language.
-
There is no reason to run the loop sequentially! It is conceptually trivial to parallelize the loop. Granted, parallelism is not trivial but the fact it cannot be done, even in Stata/MP, is frustrating.
How does the solution in C look like?
C is certainly harder to write, and Stata’s primitive interaction with C makes it so getting the results back from C is annoying. BUT there is a MASSIVE speed improvement. For this particular use case it’s an order of magnitude (around 10x) over Mata (and that implementation was already faster than Stata).
Writing the wrapper for this is not too hard thanks to the GNU Scientific Library. Noting the 0-based indexing:
Save the code to pluginSimci.c
. To compile pluginSimci.plgin
, on top
of gcc
and the SPI, you will need
Again, you should have stplugin.c
and stplugin.h
in the same directory. Now on Linux/Unix, run
Depending on your system, you may also need to add -std=c99
as a flag and point to the location of the libgsl*so
files. For instance, I regularly SSH into a RedHat server, and to compile I ran
To compile in other system, you should consult Stata’s documentation. Once compiled, from Stata:
Timing performance
I don’t really know of good Stata tools to profile performance. However, it’s not too hard to time how long a command takes to run. I wrote a simple wrapper for it, which we use with the programs above:
In the example Mata ran 5x vs Stata and the plugin ran 10x vs Mata. For a 50x speed improvement, I’d say the hassle was worth it! My real-world use-case for this was power simulations for a cluster-randomized trial where the underlying clusters were comprised of 200k observations overall. Running this in Mata took on the order of days. To have it run in hours was a massive boon.


Installing and Updating iOS SDK
Be aware that, due to Apple's terms and conditions, the iOS SDK may only be installed on Apple products. With this in mind, only instructions for installing to Apple's OSX operating system are provided here.
Overview
This guide describes where to obtain, and how to install, the Xcode suite of developer tools, including iOS SDKs.
Table of Contents
Compatibility and Download
Titanium requires Xcode and the iOS SDKs to be installed in order for you to develop iOS applications. Unless you intend to write applications exclusively for Android products, you should install these components.
There are two ways to obtain Xcode, the application that installs and manages iOS SDKs:
-
launch the App Store application, found in the Applications folder, and search for and install "xcode" (includes only currently-supported iOS SDKs)
-
enroll with the Apple Developer website, and browse the iOS Dev Center page to manually download the Xcode Install Assistant Installer (includes all previously-released iOS SDKs, new and old)
Both of the above options are currently free of charge, although may require credit card details to be entered. If you wish to test your applications on a device, however, you will need to become a member of the iOS Developer Program, by way of an annual subscription charge of $99 at the time of writing.
Installation (iOS-only)
OSX
OSX Software Locations
Setup
Apple's Xcode is a suite of tools for developing native software for OSX and iOS. In order to install Xcode and the iOS SDKs it uses, and keep them up-to-date, the Xcode Install Assistant must be installed, as explained in the steps below.
Installing Xcode Install Assistant (obtained by manual download)
-
open the Xcode disk image (file with a .dmg extension), and then open the resulting disk mount that will appear on your desktop
-
when complete, drag the disk image on your desktop to the recycle bin / eject icon in your Dock
-
open the installer package (file with a .pkg extension) and continue until the following screen
-
verify that your system meets the storage requirements, and click continue and install
-
if prompted, enter the credentials of a user with administrative privileges and complete the installation
Installing Xcode Installer using Xcode Install Assistant
In the previous step, the Xcode Install Assistant should have been installed as Applications > Install Xcode. To install Xcode:
-
invoke Applications > Install Xcode, and click Install on the resulting screen
-
if prompted, enter the credentials of a user with administrative privileges
Launching Xcode
To confirm that Xcode has been installed correctly, launch it by browsing the filesystem and opening Developer > Applications > Xcode.
Updating Xcode using Xcode Installer
When new versions of the SDK are released, the Xcode Installer is used to download and install them as follows:
-
invoke Applications > Install Xcode, and click Update on the resulting screen
-
if prompted, enter the credentials of a user with administrative privileges


I am a web and mobile developer in Long Beach, CA. I am a self-directed learner, and always seek out new technology to learn and master. For more information, contact me at<EMAIL_ADDRESS>- HTML
- CSS
- Javascript
- jQuery
- Node.js
- Express.js
- PHP
- Git/GitHub
- APIs
- Twitter
- Wikipedia
- Twitch.tv
- OpenWeatherMap
- Java
- Android - Coming Soon!
- FreeCodeCamp Front-End Development Certification
- Completed a series of JavaScript coding challenges and front-end development projects
- View Certificate Here
- Bachelor of Science Degree in Electrical Engineering
- California State University, Long Beach
- Graduated May 2014
- Specialization in Digital Signal Processing


What is Inrobin?
What does the platform do?
How does Inrobin protect and use my data?
How can I contact Inrobin?
How do I connect a machine?
I have forgotten my password. What should I do?
How do I amend information to one of my machines?
Which functionalities will be implemented in the future?
Where can I find a demonstration of the platform?
What are the differences between users?
What is a trial?
What happens if my machine is not IIoT enabled yet?
How do I provide data for the trial? Do I have to connect my machine?
What is the benefit for participating in the trial?
How do I start the trial?
How long does the trial last?
What happens after the period ends?
Are the trials totally free of charge?
About the plataform
| What is Inrobin?
Inrobin is a digital IIoT platform that connects industrial clients with insurance companies and uses machine learning techniques in order to identify risks, predict future outcomes and identify optimisation potential in their users process. Data from industrial machinery is processed and insights provided to the users. |
What does the platform do? Inrobin has trained its machine learning algorithms using industrial data sets and achieved an accuracy in detecting breakdown with more than 80%. Different machine learning techniques are applied and the most fitting one used in order to predict the near future (up to a day). For each prediction, the confidence interval (the range in which the future value will fall with a probability of 95% percent) is given. |
How does Inrobin protect and use my data? Inrobin puts a lot of effort in the safety and security of its client’s data. We use
the latest standards to be compliant with regulation. Learn more at inrobin.com/privacy
|
How can I contact Inrobin? Inrobin is always available via mail<EMAIL_ADDRESS>In the future, we plan the integration
of a chatbot or the possibility to directly communicate with the users via the message
channel in the platform. If you have any questions we would be happy to arrange a call with
you or someone from your company. |
How do I connect a machine? Machines can be connected in different ways. Currently, Inrobin allows the connection of machinery
to its platform via MQTT or API. In the near future, we plan to expand the possibilities by
which clients can connect to the platform. Each machines allows a different type of connection.
|
I have forgotten my password. What should I do? Users can reset their password by clicking on the button Forgotten password in the Inrobin Log in page. An email is sent to the mail account used for registration. Accounts not previously registered will not be recognised. |
How do I amend information to one of my machines? If the information is outdated or not correct anymore, it can be amended by clicking on the gearwheel next to the machine name (left navigation bar). You can choose ‘Edit machine details’ to change information such as machine name, type of connection, etc. |
Which functionalities will be implemented in the future? Inrobin is expanding the functionalities of its platform continuously and assessing the needs of its
users in order to provide the best possible solutions to the problems industrials are facing today.
|
Where can I find a demonstration of the platform? Can I find schedule a demonstration? Inrobin is currently looking to connect with industrial companies and tests the models it has developed. Send us an email to<EMAIL_ADDRESS>and we will arrange a demonstration with you or a member of your company. |
What are the differences between users (Technician, Manager, Administrator)? Inrobin has three different user profiles for its platform: Technician, Manager and Administrator. The different user profiles differ in the access authority and rights and are set when creating a new user. Here is a table with the different rights: |
Trials
What is a trial? Inrobin is offering industrial companies test the platform. This is a unique possibility to connect their machinery for free and provide industrial data to the platform in order to gain new insights about their industrial processes provided. |
What happens if my machine is not IIoT enabled yet? Contact us to<EMAIL_ADDRESS>and we will try to find a solution for your company and assets. Meanwhile, you can sign up into the platform and upload performance data manually. This will be equally assessed by our algorithms. |
How do I provide data for the trial? Do I have to connect my machine? In the insurance section the user can upload documents on the machine and the process. There, png .jpg .pdf .csv .xls .xlsx .txt documents containing performance data or documents related to your assets can be uploaded. If you have the files in other formats contact us and we will get it sorted. |
What is the benefit for participating in the trial? Inrobin has developed unique industrial machine learning algorithms.
These algorithms can be used equally to identify anomalies in the process,
identify risks and predict breakdowns for industrial processes.
|
How do I start the trial? Simply get in touch at<EMAIL_ADDRESS>and ask for a trial. A team member will provide you with the password for accessing to the sign up page. |
How long does the trial last? Inrobin will process the data coming from the machine using its machine learning
algorithms over a three-month period.
|
What happens after the period ends? You will be able to judge by yourself and keep benefiting from our platform’s insights and insurance management tool. If so, we will be happy to offer your company a special price as first movers along with a real insurance coverage. |
Are the trials totally free of charge? The trials are conducted for free for the full period of three months since registration. Aft this period, if the user wishes to continue benefiting from the services provided by Inrobin, your subscription will continue after the insurance quotation for a data processing and administrative expenses fee. |
Insurance
| What affects my premium?/ How are premiums calculated?
Premiums are calculated using machine learning algorithms that are trained to identify the risks of the connected machinery as well as the probability of a breakdown. The machine learning algorithms have been trained based on industrial data sets in order to quickly adjust to each connected machine and have an accuracy of at least 80% for detecting risks. |
Who is insuring my machine? Currently, Inrobin is working with a major insurance company to offer you a quotation and an insurance coverage. However, feel free to give us your insurance carriers’ key person and we will explain them the benefits of Inrobin platform. |
Which risks are covered by Inrobin? Inrobin can cover losses from certain types of breakdowns, providing a machinery insurance or a machinery loss of profit insurance. Further coverages will be added in the future. |
Can I let my machine insured even when it is not connected? Unfortunately, Inrobin does currently not offer an insurance for assets not connected as they cannot be monitored for riks assessment. |
How does the balance work? What if my gross profit turned lower this year? If it turns out that the company has had a lower gross profit unrelated to breakdowns, the user will be reimbursed for the higher premium he paid. |


It comes with Three pages to help you manage all RH data. You can add, delete, modify and search all the information you need.
You have to be a credible activist for the employees.You can manage all the information about your employees.
HR plays an important role in creating and implementing health and safety regulations.
Performance management is essential in ensuring that workers stay productive and engaged.


We partnered with the San Francisco
Planning Department to develop ‘We Will Be The City’, an installation on the site of a
dilapidated, asphalt lot of a former elementary school in San Francisco. The overall project, Playland at
43rd , transforms the underutilized site to test new ideas and programs to offer the
community various ways to come together. The new Playland site now houses community gardens, a
pavilion, artist-in- residency spaces and a skateboard park.
The installation ‘We Will Be The City’ (WWBTC), with an ambitious schedule and budget, includes 37,000
linear feet of colorful paracord that weaves around the different programs of Playland to define space,
create canopies and communicate with the community. Each end of the paracord (approximately 1,350
connections) were ferruled, cut and burnt to fasten each in place. The suspended canopies dance in the
wind, glow against sunset skies and cast graphic shadows throughout the day, drawing guests to
explore, rest, play and gather.
We Will Be The City


客户经理业绩进度总览
#if($!hava!="无" )
#end
| $gxperformList.ordteam | $gxperformList.team | $gxperformList.name | $gxperformList.visitcount ( $gxperformList.visitcount_s ) | $gxperformList.applycount ( $gxperformList.applycount_s ) | $gxperformList.applyrefuse ( $gxperformList.applyrefuse_s ) | $gxperformList.creditcount ( $gxperformList.creditcount_s ) | $gxperformList.creditrefuse ( $gxperformList.creditrefuse_s ) | $gxperformList.realycount ( $gxperformList.realycount_s ) | $gxperformList.reportcount ( $gxperformList.reportcount_s ) | $gxperformList.internalcount ( $gxperformList.internalcount_s ) | $gxperformList.meetingcout ( $gxperformList.meetingcout_s ) | $gxperformList.passcount ( $gxperformList.passcount_s ) | $gxperformList.signcount ( $gxperformList.signcount_s ) | $gxperformList.givemoneycount ( $gxperformList.givemoneycount_s ) | $gxperformList.money1 | #else$gxperformList.ordteam | $gxperformList.team | $gxperformList.name | $gxperformList.visitcount ( $gxperformList.visitcount_s ) | $gxperformList.applycount ( $gxperformList.applycount_s ) | $gxperformList.applyrefuse ( $gxperformList.applyrefuse_s ) | $gxperformList.creditcount ( $gxperformList.creditcount_s ) | $gxperformList.creditrefuse ( $gxperformList.creditrefuse_s ) | $gxperformList.realycount ( $gxperformList.realycount_s ) | $gxperformList.reportcount ( $gxperformList.reportcount_s ) | $gxperformList.internalcount ( $gxperformList.internalcount_s ) | $gxperformList.meetingcout ( $gxperformList.meetingcout_s ) | $gxperformList.passcount ( $gxperformList.passcount_s ) | $gxperformList.signcount ( $gxperformList.signcount_s ) | $gxperformList.givemoneycount ( $gxperformList.givemoneycount_s ) | $gxperformList.money1 | #end #end


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/VScode.20folds.html ---
https://code.visualstudio.com/updates/v1_22#_syntax-aware-folding works beautifully with Lean!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


class RTC – real time clock¶
The RTC is an independent clock that keeps track of the date and time.
Example usage:
rtc = pyb.RTC()
rtc.datetime((2014, 5, 1, 4, 13, 0, 0, 0))
print(rtc.datetime())
Constructors¶
- class pyb.RTC¶
Create an RTC object.
Methods¶
- RTC.datetime([datetimetuple])¶
Get or set the date and time of the RTC.
With no arguments, this method returns an 8-tuple with the current date and time. With 1 argument (being an 8-tuple) it sets the date and time (and
subseconds
is reset to 255).The 8-tuple has the following format:
(year, month, day, weekday, hours, minutes, seconds, subseconds)
weekday
is 1-7 for Monday through Sunday.subseconds
counts down from 255 to 0
- RTC.wakeup(timeout, callback=None)¶
Set the RTC wakeup timer to trigger repeatedly at every
timeout
milliseconds. This trigger can wake the pyboard from both the sleep states:pyb.stop()
andpyb.standby()
.If
timeout
isNone
then the wakeup timer is disabled.If
callback
is given then it is executed at every trigger of the wakeup timer.callback
must take exactly one argument.
- RTC.info()¶
Get information about the startup time and reset source.
The lower 0xffff are the number of milliseconds the RTC took to start up.
Bit 0x10000 is set if a power-on reset occurred.
Bit 0x20000 is set if an external reset occurred
- RTC.calibration(cal)¶
Get or set RTC calibration.
With no arguments,
calibration()
returns the current calibration value, which is an integer in the range [-511 : 512]. With one argument it sets the RTC calibration.The RTC Smooth Calibration mechanism adjusts the RTC clock rate by adding or subtracting the given number of ticks from the 32768 Hz clock over a 32 second period (corresponding to 2^20 clock ticks.) Each tick added will speed up the clock by 1 part in 2^20, or 0.954 ppm; likewise the RTC clock it slowed by negative values. The usable calibration range is: (-511 * 0.954) ~= -487.5 ppm up to (512 * 0.954) ~= 488.5 ppm


Refitter¶
-
class
tensorrt.
Refitter
(self: tensorrt.tensorrt.Refitter, engine: tensorrt.tensorrt.ICudaEngine, logger: tensorrt.tensorrt.ILogger) → None¶ Updates weights in an
ICudaEngine
.Parameters: - engine – The engine to refit.
- logger – The logger to use.
-
__del__
(self: tensorrt.tensorrt.Refitter) → None¶
-
__exit__
(exc_type, exc_value, traceback)¶ Destroy this object, freeing all memory associated with it. This should be called to ensure that the object is cleaned up properly. Equivalent to invoking
__del__()
-
__init__
(self: tensorrt.tensorrt.Refitter, engine: tensorrt.tensorrt.ICudaEngine, logger: tensorrt.tensorrt.ILogger) → None¶ Parameters: - engine – The engine to refit.
- logger – The logger to use.
-
get_all
(self: tensorrt.tensorrt.Refitter) → Tuple[List[str], List[tensorrt.tensorrt.WeightsRole]]¶ Get description of all weights that could be refit.
Returns: The names of layers with refittable weights, and the roles of those weights.
-
get_dynamic_range
(self: tensorrt.tensorrt.Refitter, tensor_name: str) → tuple¶ Gets the dynamic range of a tensor. If the dynamic range was never set, returns the range computed during calibration.
Parameters: tensor_name – The name of the tensor whose dynamic range to retrieve. Returns: Tuple[float, float]
A tuple containing the [minimum, maximum] of the dynamic range.
-
get_missing
(self: tensorrt.tensorrt.Refitter) → Tuple[List[str], List[tensorrt.tensorrt.WeightsRole]]¶ Get description of missing weights.
For example, if some Weights have been set, but the engine was optimized in a way that combines weights, any unsupplied Weights in the combination are considered missing.
Returns: The names of layers with missing weights, and the roles of those weights.
-
get_tensors_with_dynamic_range
(self: tensorrt.tensorrt.Refitter) → List[str]¶ Get names of all tensors that have refittable dynamic ranges.
Returns: The names of tensors with refittable dynamic ranges.
-
refit_cuda_engine
(self: tensorrt.tensorrt.Refitter) → bool¶ Updates associated engine. Return
True
if successful.Failure occurs if
get_missing()
!= 0 before the call.
-
set_dynamic_range
(self: tensorrt.tensorrt.Refitter, tensor_name: str, range: List[float]) → bool¶ Update dynamic range for a tensor.
Parameters: - tensor_name – The name of the tensor whose dynamic range to update.
- range – The new range.
Returns: True
if successful,False
otherwise.Returns false if there is no Int8 engine tensor derived from a network tensor of that name. If successful, then
get_missing()
may report that some weights need to be supplied.
-
set_weights
(self: tensorrt.tensorrt.Refitter, layer_name: str, role: tensorrt.tensorrt.WeightsRole, weights: tensorrt.tensorrt.Weights) → bool¶ Specify new weights for a layer of given name. Possible reasons for rejection are:
- There is no such layer by that name.
- The layer does not have weights with the specified role.
- The number of weights is inconsistent with the layer’s original specification.
Modifying the weights before
refit_cuda_engine()
completes will result in undefined behavior.Parameters: - layer_name – The name of the layer.
- role – The role of the weights. See
WeightsRole
for more information. - weights – The weights to refit with.
Returns: True
on success, orFalse
if new weights are rejected.


--- layout: page title: About header-img: "img/about-bg.png" ---
Hello everyone! This will be my blog to express how I wanted to start learning to code and the steps I take to fulfill my goal to be a software engineer! I hope you all will enjoy.


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| TEP: | 103 |
|---|---|
| Group: | Core Working Group |
| Type: | Documentary |
| Status: | Draft |
| TinyOS-Version: | 2.0 |
| Author: | David Gay, Jonathan Hui |
| Draft-Created: | 27-Sep-2004 |
| Draft-Version: | 1.5 |
| Draft-Modified: | 2005-02-14 |
| Draft-Discuss: | TinyOS Developer List <tinyos-devel at mail.millennium.berkeley.edu> |
Note
This memo documents a part of TinyOS for the TinyOS Community, and requests discussion and suggestions for improvements. Distribution of this memo is unlimited. This memo is in full compliance with TEP 1.
This TEP covers permanent storage abstractions for TinyOS 2.0, and the HPL and HAL layers for various flash chips.
There are three different flash chip families under use or consideration for TinyOS platforms: the Atmel AT45DB family (Mica family, Telos rev. A), the ST M25P family (Telos rev. B, eyes) and the Intel Strataflash (imote2). All three are "NOR" flash chips, but the AT45DB has fairly different characteristics (see below). There also "NAND" flash chips which have rather different tradeoffs from NOR flash. Compact flash/etc cards use NAND flash but present a disk-like block interface.
A common restriction of flash technology is that each bit can only be written once between erases. The table below summarizes the differences between the various flash technologies:
NOR AT45DB NAND Erase : Slow (seconds) Fast (ms) Fast (ms) Erase unit : Large (64KB-128KB) Small (256B) Medium (8K-32KB) Writes : Slow (100s kB/s) Slow (60kB/s) Fast (MBs/s) Write unit : 1 bit 256B 100's of bytes Bit-errors : Low Low High (requires ECC, bad-block mapping) Read : Fast* Slow+I/O bus Fast (but limited by I/O bus) Erase cycles : 10^4 - 10^5 10^4 ** 10^5 - 10^7 Intended use : Code storage Data storage Data storage * imote2 NOR flash is memory mapped (reads are very fast and can directly execute code) ** Or infinite? Data sheet just says that every page within a sector must be written every 10^4 writes within that sector
From the power consumption for erasing and writing, we can derive an energy cost/byte written (for NAND flash, taken from a Samsung datasheet):
Energy/byte: 1uJ 1uJ .01uJ
Energy/byte for reads appears to depend mostly on how long the read takes (the power consumptions are comparable), i.e., on the efficiency of the bus + processor...
The proposed architecture aligns with the three-layer Hardware Abstraction Architecture (HAA).
The very significant differences between the flash chips used in TinyOS preclude common, low-level HIL interfaces such as a disk-like block interface. Instead, we propose that the HIL interfaces correspond to high-level storage services useful for sensor network applications. We have identified three storage abstractions:
Large objects (Deluge, Large Data Transfer):
This scenario involves getting a large (100's bytes to kilobytes or more) free chunk (through alloc or erase), writing to each byte/block once in any arbitrary order, and "committing" when the chunk is filled.
Size: large Reads: random Writes: random (minimum block size?), each block written once Failure model: no fault tolerance (crash before commit leads to object loss) Other: a commit operation terminates writes, a validate operation checks the object.
Small objects (Deluge metadata, many other apps):
This scenario involves keeping a small chunk (less than 100 some bytes). Requires multiple and random reads/writes.
Size: small Reads: random Writes: random, no minimum block size, rewrite ok Failure model: writes are atomic, failure during/between writes does not lead to object loss
Large sequential objects (Logs)
Some applications (e.g., low-rate data collection, SNMS events) may want to log all their results in a reliable fashion, possibly in a circular buffer.
Size: large Reads: from memorized write points or beginning Writes: sequential, object is linear or circular Failure model: writes are atomic, failure during/between writes does not lead to whole object loss, but may lead to loss of some entries (but see sync) Note: failure during write may lead to (minor) capacity reduction Other: sync: guarantees already written data will not be lost to (crash-style) failure
These interfaces will be offered on top of a uniform method of sharing the flash. Volumes are allocated in a similar way to fdisk. Volumes will be allocated and a partition table kept in non-volatile storage. To use a volume, it must be mounted. Thus, volumes exist independent of which components the applications are compiled with. This allows switching of applications while managing the sharing of flash.
We envision separate implementations of these abstractions for each class of storage chip; these implementations will be found in the new tos/chips/CHIPNAME hierarchy.
Implementation: system dependent
Presentation: chip (family?) dependent (common HPL for same chip (family?) on different systems)
Stateless
Atmel 45DB family low-level interfaces
select, send/receive SPI byte, idle detection (no commands, as efficiency dictates their integration in the HAL) See tos/platform/mica/HPLFlashM
Intel Strataflash
write data, erase, lock/unlock blocks, read config data, etc. details omitted - main interesting point is lack of reads, as device is memory mapped
M25P family
r/w data, erase (sector or chip), r/w status, etc (full details omitted)
Implementation: chip dependent
Presentation: chip dependent
Atmel 45DB: i. read, write, erase pages ii. compute page crc iii. automatic buffer management (+ sync, flush) iv. see tos/platform/mica/PageEEPROM|PageEEPROMM.nc
Intel Strataflash (should extend to other memory-mapped NOR flashes):
interface HALStrata { /* In flux until higher level stuff written */ command result_t lockRange(uint32_t from, uint32_t count); command result_t unlockRange(uint32_t from, uint32_t count); /* These return to read array mode when done */ command result_t write(uint32_t address, uint16_t *data, uint8_t count); event void writeDone(result_t success); command result_t erase(uint32_t block); event void eraseDone(result_t success); /* Will probably want to read some amount of device info. Not clear what yet, exactly. */ }M25P:
interface { command result_t read(addr_t addr, void* dest, addr_t len); event result_t readDone(result_t result); command result_t write(addr_t addr, void* source, addr_t len); event result_t writeDone(result_t result); command result_t erase(sector_t sector); event result_t eraseDone(result_t result); command result_t bulkErase(); event result_t bulkEraseDone(); }
Implementation: Chip dependent
Presentation: application-level OS service (see discussion above)
Space allocation
This is similar to fdisk. Allocation of volumes can only occur between calls to init() and commit(). init() wipes the volume table clean and commit() writes out the volume table:
interface FStorage { command result_t init(); command result_t allocate(uint8_t id, addr_t size); command result_t allocateFixed(uint8_t id, addr_t addr, addr_t size); command result_t commit(); event void commitDone(storage_result_t result, uint8_t id); }The mount interface is used to setup access to a specific volume:
interface Mount { command result_t mount(uint8_t id); event void mountDone(storage_result_t result, uint8_t id); }This interface is provided by the components implementing BlockRead/Write, ConfigStorage, and LogRead/Write. This interface is necessary for components to setup any required metadata. For example, ConfigRead may need to know where to read a specific configuration. LogWrite may need to search for the current offset:
interface VolumeInit { command result_t init(); event void initDone(storage_result_t result); }Large object:
interface BlockWrite { // compile-time block storage size constant available, // varies by platform. Len must be a multiple of this. command result_t write(addr_t addr, void* source, addr_t len); event void writeDone(storage_result_t result); command result_t erase(); event void eraseDone(storage_result_t result); command result_t commit(); event void commitDone(storage_result_t result); } interface BlockRead { command result_t read(addr_t addr, void* dest, addr_t len); event void readDone(storage_result_t result); command result_t verify(); event void verifyDone(storage_result_t result); }Small object:
interface ConfigStorage { command result_t read(addr_t addr, void* dest, addr_t len); event void readDone(storage_result_t result); command result_t write(addr_t addr void* source, addr_t len); event void writeDone(storage_result_t result); command result_t commit(); event void commitDone(storage_result_t result); }Large sequential object:
interface LogWrite { command result_t erase(); event void eraseDone(storage_result_t success); command result_t append(uint8_t* data, uint32_t numBytes); event void appendDone(uint8_t* data, uint32_t numBytes, result_t success); command uint32_t currentOffset(); command result_t sync(); event void syncDone(storage_result_t success); } interface LogRead { command result_t read(uint8_t* data, uint32_t numBytes); event void readDone(uint8_t* data, uint32_t numBytes, result_t success); command result_t seek(uint32_t cookie); event void seekDone(storage_result_t success); }The circular-vs-linear distinction is made by offering separate instances of the LogData, LogRead interfaces.
An STM25P implementation can be found in tinyos-1.x/beta/STM25P.


Don't nest too deeply!
Read more here: http://thesassway.com/beginner/the-inception-rule A Related Article


nips nips2012 nips2012-36 nips2012-36-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Alexandra Carpentier, Rémi Munos
Abstract: We consider the problem of adaptive stratiﬁed sampling for Monte Carlo integration of a differentiable function given a ﬁnite number of evaluations to the function. We construct a sampling scheme that samples more often in regions where the function oscillates more, while allocating the samples such that they are well spread on the domain (this notion shares similitude with low discrepancy). We prove that the estimate returned by the algorithm is almost similarly accurate as the estimate that an optimal oracle strategy (that would know the variations of the function everywhere) would return, and provide a ﬁnite-sample analysis. 1
[1] J.Y. Audibert, R. Munos, and Cs. Szepesv´ ri. Exploration-exploitation tradeoff using variance a estimates in multi-armed bandits. Theoretical Computer Science, 410(19):1876–1902, 2009.
[2] A. Carpentier and R. Munos. Adaptive Stratiﬁed Sampling for Monte-Carlo integration of Differentiable functions. Technical report, arXiv:0575985, 2012.
[3] A. Carpentier and R. Munos. Finite-time analysis of stratiﬁed sampling for monte carlo. In In Neural Information Processing Systems (NIPS), 2011a.
[4] A. Carpentier and R. Munos. Finite-time analysis of stratiﬁed sampling for monte carlo. Technical report, INRIA-00636924, 2011b.
[5] Pierre Etor´ and Benjamin Jourdain. Adaptive optimal allocation in stratiﬁed sampling methods. e Methodol. Comput. Appl. Probab., 12(3):335–360, September 2010.
[6] P. Glasserman. Monte Carlo methods in ﬁnancial engineering. Springer Verlag, 2004. ISBN<PHONE_NUMBER>.
[7] V. Grover. Active learning and its application to heteroscedastic problems. Department of Computing Science, Univ. of Alberta, MSc thesis, 2009.
[8] A. Maurer and M. Pontil. Empirical bernstein bounds and sample-variance penalization. In Proceedings of the Twenty-Second Annual Conference on Learning Theory, pages 115–124, 2009.
[9] H. Niederreiter. Quasi-monte carlo methods and pseudo-random numbers. Bull. Amer. Math. Soc, 84(6):957–1041, 1978.
[10] R.Y. Rubinstein and D.P. Kroese. Simulation and the Monte Carlo method. Wiley-interscience, 2008. ISBN<PHONE_NUMBER>. 9


"AVEN "nothingness; vanity. (1.) Hosea speaks of the “high places of Aven” (10:8), by which he means Bethel. He also calls it Beth-aven, i.e.,“the house of vanity” (4:15), on account of the golden calves Jeroboam had set up there (1 Kings 12:28). (2.) Translated by the LXX. “On” in Ezekiel 30:17. The Egyptian Heliopolis or city of On (q.v.). (3.) In Amos 1:5 it denotes the Syrian Heliopolis, the modern Baalbec.
"AVEN "nothingness; vanity. (1.) Hosea speaks of the “high places of Aven” (10:8), by which he means Bethel. He also calls it Beth-aven, i.e.,“the house of vanity” (4:15), on account of the golden calves Jeroboam had set up there (1 Kings 12:28).
(2.) Translated by the LXX. “On” in Ezekiel 30:17. The Egyptian Heliopolis or city of On (q.v.).
(3.) In Amos 1:5 it denotes the Syrian Heliopolis, the modern Baalbec.


Weather Forecast Fetcher
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as_function¶
make sure an object is pushed as a function
template <typename Sig = sol::function_sig<>, typename... Args>
function_argumants<Sig, Args...> as_function ( Args&& ... );
This function serves the purpose of ensuring that a callable struct (like a lambda) can be passed to the set( key, value )
calls on sol::table and be treated like a function binding instead of a userdata. It is recommended that one uses the sol::table::set_function call instead, but if for some reason one must use set
, then as_function
can help ensure a callable struct is handled like a lambda / callable, and not as just a userdata structure.
This class can also make it so usertypes bind variable types as functions to for usertype bindings.
#include <sol.hpp>
int main () {
struct callable {
int operator()( int a, bool b ) {
return a + b ? 10 : 20;
}
};
sol::state lua;
// Binds struct as userdata
lua.set( "not_func", callable() );
// Binds struct as function
lua.set( "func", sol::as_function( callable() ) );
// equivalent: lua.set_function( "func", callable() );
// equivalent: lua["func"] = callable();
}
Note that if you actually want a userdata, but you want it to be callable, you simply need to create a sol::table::new_usertype and then bind the "__call"
metamethod (or just use sol::meta_function::call
enumeration).
Here’s an example of binding a variable as a function to a usertype:
#include <sol.hpp>
int main () {
class B {
public:
int bvar = 24;
};
sol::state lua;
lua.open_libraries();
lua.new_usertype<B>("B",
// bind as variable
"b", &B::bvar,
// bind as function
"f", sol::as_function(&B::bvar)
);
B b;
lua.set("b", &b);
lua.script("x = b:f()");
lua.script("y = b.b");
int x = lua["x"];
int y = lua["y"];
assert(x == 24);
assert(y == 24);
}


1 Other things originating with the Egyptians are these. Each month and day belong to one of the gods, and according to the day of one's birth are determined how one will fare and how one will end and what one will be like; those Greeks occupied with poetry exploit this.
2 More portents have been discovered by them than by all other peoples; when a portent occurs, they take note of the outcome and write it down; and if something of a like kind happens again, they think it will have a like result.


with two fingers you can pan, roate, and zoom!
and with just one finger all you can do is pan.
with a cursor... all you can really do is pan. lol
you can use a scroll wheel to zoom though
or right click and move your mouse around to rotate


|
* Choose criteria to filter table below.
|
Remove
Apple iPhone Xs Max |
Remove
Google Pixel 3 XL |
Remove
Samsung Galaxy S10+ |
| Summary | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
|---|---|---|---|
| Performance | Hexa Core | Octa Core | Octa Core |
| Display | 6.5-inch | 6.3-inch | 6.4-inch |
| Storage | 64 GB | 64 GB | 128 GB |
| Camera | Dual 12-megapixel | 12.2-megapixel | 12,16,12-megapixel |
| Battery | 3,174 mAh | 3,430 mAh | 4,100 mAh |
| General | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Quick charging | Yes | Yes | Yes |
| Operating system | iOS v12 | Android v9.0 Pie | Android v9.0 with Samsung One UI |
| Sim slots | Single SIM, GSM | Single SIM, GSM | Hybrid SIM slot, GSM |
| Launch date | September 12, 2018 (Official) | November 1, 2018 (Official) | February 20, 2019 (Official) |
| Sim size | SIM1: Nano | SIM1: Nano | SIM1: Nano SIM2: Nano (Hybrid) |
| Network | 4G: Available (supports Indian bands) 3G: Available, 2G: Available | 4G: Available (supports Indian bands) 3G: Available, 2G: Available | 4G: Available (supports Indian bands) 3G: Available, 2G: Available |
| Fingerprint sensor | None (Face ID) | Back cover | In-screen |
| Multimedia | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Loudspeaker | Yes | Yes | Yes |
| FM radio | No | No | No |
| Headphone jack | No | No | Yes |
| Performance | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Processor | Apple A12 Bionic | Qualcomm Snapdragon 845 (2.5GHz octa-core) | Octa-core Qualcomm Snapdragon 855 |
| Graphics | Apple GPU (4-core graphics) | Adreno 630 | Mali-G72 MP18 |
| Architecture | 64 bit | 64 bit | 64 bit |
| RAM | 4 GB | 4 GB | 8 GB |
| Design | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Build material | Case: AluminiumBack: Mineral Glass | Case: AluminiumBack: Aluminium | Case: AluminiumBack: Mineral Glass |
| Thickness | 7.7 mm | 7.9 mm | 8.5 mm |
| Width | 70.9 mm | 76.7 mm | 73.8 mm |
| Height | 143.6 mm | 157.9 mm | 158.1 mm |
| Weight | 174 grams | 175 grams | 189 grams |
| Waterproof | Yes Water resistant (up to 30 minutes in a depth of 1 meter), IP67 | Yes Water resistant (up to 30 minutes in a depth of 1 meter), IP67 | Yes Water resistant (up to 30 minutes in a depth of 1.5 meter), IP68 |
| Colors | Silver, Space Grey | Black, Black and White | Midnight Black, Coral Blue, Lilac Purple |
| Display | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Display type | Super Retina OLED | 'flexible' OLED | Super AMOLED |
| Pixel density | 458 ppi | 522 ppi | 522 ppi |
| Screen protection | Yes | Corning Gorilla Glass v5 | Corning Gorilla Glass v5 |
| Screen size | 6.5 inches | 6.3 inches | 6.4 inches |
| Screen resolution | 1125 x 2436 pixels | 1440 x 2880 pixels | 1440 x 2960 pixels |
| Touch screen | Yes, 3D Touch Touchscreen, Multi-touch | Yes, Capacitive Touchscreen, Multi-touch | Yes, Capacitive Touchscreen, Multi-touch |
| Storage | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Internal memory | 64 GB | 64 GB | 128 GB |
| Expandable memory | No | No | Yes Up to 1 TB |
| Camera | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Settings | Exposure compensation, ISO control | Exposure compensation, ISO control | Exposure compensation |
| Aperture | F2.2 | F2.4 | F1.7 |
| Camera features | 10 x Digital zoom, Optical zoom, Auto flash, Face detection, Touch to focus | Fixed zocus | Wide angle selfie |
| Image resolution | 4000 x 3000 pixels | 4000 x 3000 pixels | 4000 x 3000 pixels |
| Sensor | BSI sensor | CMOS image sensor | CMOS image sensor |
| Autofocus | Yes | No | Yes |
| Shooting modes | Continuos shooting, High dynamic range mode (HDR), Burst mode | Continuos shooting, High dynamic range mode (HDR) | Continuos shooting, High dynamic range mode (HDR) |
| Optical image stabilisation | Yes, Dual optical image stabilization | Yes | Yes |
| Flash | Yes, Retina flash | Yes, Dual LED flash | Yes, LED flash |
| Battery | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Talktime | Up to 21 hours(4G) | Up to 24 hours(4G) | Up to 25 hours(4G) |
| Quick charging | Yes, fast, 50 % in 30 minutes | Yes | Yes |
| Wireless charging | Yes | Yes | Yes |
| Type | Li-ion | Li-ion | Li-ion |
| Capacity | 3,174 mAh | 3,430 mAh | 4,100 mAh |
| Price & rating | Apple iPhone Xs Max | Google Pixel 3 XL | Samsung Galaxy S10+ |
| Price | $1,099 | $899 | $1,000 |
| Rating | 4.5/5 | 4.5/5 | 4.5/5 |


pen(nib, join=MITER, cap=BUTT, dash=None)
Sets the line-style to be used when a stroke() color has been set. The nib
argument sets the width of the stroke in terms of the units set in size() (points by default). The cap
argument controls how endpoints of beziers are drawn: BUTT
, SQUARE
, or ROUND
. Vertices within a bezier are controled by the join
arg and can be set to MITER
, ROUND
, or BEVEL
.
If the dash
argument is not None
, it must be either a single number or a list of them specifying on-off intervals for drawing a dashed line
a context manager allowing pen changes to be constrained to the block of code following a with
statement.
nofill() stroke(0.2) pen(1.5) rect(10, 10, 20, 40) pen(3) rect(40, 10, 20, 40)
nofill() stroke(0) pen(10, cap=BUTT) line(20,20, 50,20) with pen(cap=ROUND): line(20,40, 50,40) with pen(cap=SQUARE): line(20,60, 50,60)
with nofill(), stroke(0), pen(10): pen(join=MITER) bezier([(20,20), (40,40), (60,20)]) pen(join=ROUND) bezier([(20,50), (40,70), (60,50)]) pen(join=BEVEL) bezier([(20,80), (40,100), (60,80)])


--- title: "LADYBUG ORIGAMI" date: "2000-01-01 21:01:05 -06:00" categories: - boredom-busters subtitle: "Home-Base Art Project" event-notes: "Free Stay-At-Home Activity" layout: "free-events" event-image: "boredom-busters/ladybug-origami-thumb.jpg" event-dates: "" event-location: "Your Home" button-type: "register" tickets-link: "" tickets-button: "hide" registration-info: "" instructor-info: "Nature" member-cost: "" public-cost: "" published: true ---
Did you know ladybugs are often called a “gardener’s best friend?” They earned this title because ladybugs eat insects that damage plants like aphids, mites, and white flies. One ladybug can eat over 5,000 insects in its lifetime. Grab a square of paper and download the instructions to create one or many unique ladybugs you can use to decorate your home and remember this important insect.
Share your designs with us at #RedButteGarden.
Origami is the art of paper folding and is thought to help develop better eye-hand coordination and concentration skills.
Click HERE for larger, printable instructions.


My Name is Ariel Marchand I currently live in Grand Junction, Colorado with my partner and
cat. I have an Associate of Arts degree with an emphasis on early childhood education from
Colorado
Mountain College. I am currently enrolled in the Denver University coding boot camp for web
development. I can't wait to be a full time web developer in the near future.  In my freetime, I enjoy reading, writing urban fiction in a collaborative
setting and dabbling in graphic design.


As a swordsman keep his sword sharp enough, you should also use best resources available for trading or investment.
As you will be aware that you need and a demat and trading account in order to do investment in stock market. There are tons of brokers who provide both and charge their customer on flat or percentage basis.
I have been using Zerodha for a year. I have been impressed with the their platform which is quite impressive. They charges are also transparent and flat against other brokers who usually charge percentage basis. Zerodha do not charge anything for delivery based trading. Delivery based trading means you buy a stock and sell it after a day, i.e. same day buying and selling is not included in delivery based trading.
Open an online trading and demat account with Zerodha and enjoy the lowest brokerage
Have look on their clean and elegant UI.
| Type | Charges |
|---|---|
| Trading Account Opening Charges (One Time) | ₹300 |
| Trading Annual Maintenance Charges AMC (Yearly Fee) | ₹0 (Free) |
| Demat Account Opening Charges (One Time) | ₹100 |
| Demat Account Annual Maintenance Charges AMC (Yearly Fee) | ₹300 |
Some long term investors get worried that whether they should go for a new brokers such as Zerodha. Zerodha is been operational for 7 years. Any investor should not worry about Zerodha or any broker as their holdings (shares purchased) lies with CDSL/NSDL. And your broker is just an intermediary between you and the stock exchange.
Open an online trading and demat account with Zerodha and enjoy the lowest brokerage
In the end you can choose any broker whichever make you feel comfortable.
I hope this post has been informational.