We live in a complex world, and our brains try to make sense of it by placing things into categories. Of course, when we do this with people, and assume that we know everything about who they are or how they will act based on their "type", this can have negative consequences.
Often, this occurs when people stereotype others based on their skin color, gender, or other characteristic.
This behavior can harm others through what is known as "stereotype threat". When a person knows that they are expected to act a certain way, or that they are believed by others to be somehow inferior, this can place a psychological weight on that person that can affect the way they perform on a certain task, or even change the way they choose to spend their time.
Personally, I don't feel that I have felt this effect in any significant way in my own life, but I understand the damaging impact it can have.


Andre Christoga
Home
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Lab
Andre Christoga
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Lab
Midas
Iframe browser using jQuery
Source
Demo
JS
Material + Firebase
Send input value to firebase using MDL as the UI
Demo
JS
SVG-Ripples
Google Material Design Ripple Effect with SVG
Source
Demo
JS
Japs
jQuery app download script
Source
JS
Gocurl
Curl in go
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GO
Sepvey
Python HTTP Server
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PY
Vert
Variable equation
Source
PY
Area.py
Area of the shape
Source
PY


## UCL Faculty Bylaws Review Taskforce 12/12/2019 * Sean Crowe * Kevin Grace * Tiffany Grant * Rebecka Lindau * James Van Mil
## Proposed Agenda 1. Introduction 1. Themes - Morale and workload - Meeting effectiveness - Shared governance 1. Taskforce proposed amendments 1. Input gathering
## Discussion Format 1. Taking stack 1. Notetaker
## Themes * Morale and workload * Meeting effectiveness * Shared governance
## Proposed Amendments
## 1. EC Chair should preside at UCL Faculty meetings * Establish the Executive Committee Chair as president for Executive Committee and Regular Faculty meetings in order to accommodate the Dean’s expanded portfolio as well as strengthen cohesion and engagement within the Library Faculty.
## 2. EC has prerogative over agenda setting, gathers items from faculty and Dean * Clarify that agendas for regular Faculty meetings are gathered and formulated by the Executive Committee.
## 3. Meeting membership * (we discussed this a lot) * Options?
1. Discontinue elections and bring parity with All Library Faculty Bylaws, allowing attendance by all admin and staff. 1. Discontinue annual elections for non-voting members but empower EC to invite non-faculty professionals with an interest in faculty work. 1. Discontinue annual elections and limit attendance to voting members, EC will invite guests in accordance with agenda items. 1. Keep elections for non-voting members but nominate positions rather than individuals.
## 4. Executive Committee Chair should have release time to conduct faculty business * Reduce the number of members for the travel committee to increase faculty resources for other service opportunities.
## 5. Shrink travel committee * Reduce the number of members for the travel committee to increase faculty resources for other service opportunities.
## Discussion


2 writes to _filter
Microsoft.PowerShell.Commands.Utility (2)
commands\utility\Update-TypeData.cs (2)
1294
_filter
= new WildcardPattern[] { WildcardPattern.Get("*", WildcardOptions.None) };
1324
_filter
= new WildcardPattern[typeNames.Count];
3 references to _filter
Microsoft.PowerShell.Commands.Utility (3)
commands\utility\Update-TypeData.cs (3)
1325
for (int i = 0; i <
_filter
.Length; i++)
1327
_filter
[i] = WildcardPattern.Get(typeNames[i],
1344
foreach (WildcardPattern pattern in
_filter
)


Welcome to geometry2020’s documentation!¶
-
main.
cartesian_representation_line
(vec_1: numpy.array, vec_2: numpy.array, type: int = 1) → None[source]¶ This function print the cartesian presentation of a line a: numpy-array of the b: numpy-array of the
- Parameters
vec_1 – first point
vec_2 – direction (type = 0) or the second point (type = 1)
type – it switches between two points and one point and a direction
-
main.
conic_section_classification
(coeff: list) → None[source]¶ This function provides a classification of a conic section
- Parameters
coeff – list of the coefficient of the equation of the conic section
if the equation is
A x^2 + B xy + C y^2 + D x + E y + F = 0
then the array coeff is
[A,B,C,D,E,F]
-
main.
gauss_elimination
(matrix) → numpy.array[source]¶ This function compute Gauss elimination process :param matrix: generic matrix :return: matrix after the Gauss elimination
-
main.
linear_dependence
(matrix: numpy.array) → int[source]¶ This function answer to the question “Are these vectors linearly independent?”
- Parameters
matrix – matrix with vectors as rows
- Returns
the number of linearly independent vectors
-
main.
linear_equations
(matrix, vector) → numpy.array[source]¶ this function resolve a system of linear equations :param matrix: matrix of coefficients :param vector: vector of constant terms
>>> linear_equations(np.eye(2),np.array([1,1])) The system has a single unique solution. [1. 1.]
>>> linear_equations(np.array([[1,0],[1,0]]),np.array([1,0])) The system has no solution.


xdriinfo(1) xdriinfo(1) NAME xdriinfo - query configuration information of DRI drivers SYNOPSIS xdriinfo [-display displayname] [command] DESCRIPTION xdriinfo can be used to query configuration information of direct render‐ ing drivers. If no command argument is specified it lists the names of the direct rendering drivers for all screens. Valid commands are: nscreens Print the number of screens. driver screen Print the name of the direct rendering driver for screen. options screen|driver Print the XML document describing the configuration options of a driver. The driver can be specified directly by driver name or indirectly by screen number. If the driver name is specified directly then no X connection is needed. ENVIRONMENT DISPLAY The default display. SEE ALSO X(7), xdpyinfo(1), xwininfo(1), xvinfo(1), glxinfo(1), xprop(1) AUTHOR Felix Kuehling X Version 11 xdriinfo 1.0.4 xdriinfo(1)


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botanical
garden
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Davis
111,
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Proctor,
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Campbell,
R.
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Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
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high
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| close/1 | Signals the stream to close. |
| flush/1 | Causes the stream to immediately flush its buffers and commit any pending writes to the file. |
| ping/1 | Pings the stream, resetting the TTL timer. |
| send/2 | Sends the given binary to the stream for writing. |
| start/4 | |
| start_link/4 | Starts a stream for writing at the specified offset. |
| status/2 | Gets the current filehandle on which the stream is operating. |
close(X1) -> any()
Signals the stream to close. The stream will immediately flush its buffers to the file and will stay open for TTL milliseconds waiting for one last status/2 call.
flush(X1) -> any()
Causes the stream to immediately flush its buffers and commit any pending writes to the file. Equivalent to an fsync call in most other filesystem API's.
ping(X1) -> any()
Pings the stream, resetting the TTL timer. Use this if you have a slow writer but don't necessarily want to extend the TTL time.
send(X1, Data) -> any()
Sends the given binary to the stream for writing. The put stream does its own internal buffering for performance reasons, so this is equivalent to writing to a regular file on a local filesystem. If you want guarantees that your write is actually written then you need to call flush/1 on the put stream.
start(Riak, File, Offset, TTL) -> any()
start_link(Riak::riak(), File::tensors_file(), Offset::int(), TTL::int()) -> put_stream()
Equivalent to start(Riak, File, Offset, TTL).
Starts a stream for writing at the specified offset. The stream will remain open for TTL milliseconds. Every time the stream is written to or pinged it will reset the TTL counter. Therefore slow writers should set an appropriate TTL or use ping/1 to keep a stream open. This function links the stream process to the calling process.
status(Stream::put_stream(), Timeout) -> {ok, File} | {error, Reason}
Gets the current filehandle on which the stream is operating. Can be called at any time during the life of a stream, including after a call to close/1. The returned file is not guaranteed to reflect the latest calls to send/2, since status/2 does not cause a flush to occur.
Generated by EDoc, May 31 2010, 11:13:39.


## Mako can find this base file because it's in the settings.py -> MAKO_TEMPLATES_DIRS list
<%inherit file="base_template.htm" />
<%block name="content">
%block>
<%block name="Carousel">
Landspace Photos
Take amazing pictures of isolated landscapes
Oceanic Oasis
Capture the setting of the sun
City Skylines
Take it all in from your downtown apartment
%block>
<%block name="information">
Information here
%block>


Create audio with a modern and incredibly intuitive tool
PropertiesAssets
No hidden menus or dropdowns
All the audio manipulations can be accessed through a persistent panel. Apply effects to an entire track, a selection, or the entire audio file at once. The choice is yours.
Fast and intuitive
Apply effects efficiently through an intuitive interface where everything is at a glance.
Contextual feedback
Invite your team to give feedback to specific parts of your audio file.
Cloud storage
Save your files and audio clips in the cloud, and access them from anywhere.
Well-integrated
Export directly to different platforms, browse content libraries, and much more.
Get early accessSign up to the waitlist to be the first to try out Sonuum and stay in the loop.


NAC SiNAC genes SiNAC, sesame Plant gene Fig Arabidopsis expression transcription SiNACs abiotic stress analysis data different family drought subgroup TFs factor profiles using proteins Zhang Sciences response {border-style Biology Wang px;} #ffffff;} identified members salt sesame. stresses plant up-regulated Arabidopsis, Expression Life highly phylogenetic plants waterlogging Kim Research domain duplicated expressed genome involved similar stresses. various Analysis SiNAC) cell cv. functional motifs responses study, used Park Science factors functions membrane-bound molecular sequence sesame, tissues (subgroup Click LGs LINK additional file. motif protein roots China SiNTL biology. regulation represent sequences showed significantly species specific tolerance transcriptome treatment tree > CUC Methods Phylogenetic Table analyzed cold detected down-regulated important osmotic px; respectively. roles shown stresses, subgroups suggesting time {font-family Academy Agricultural AtNAC, Gene Genome-wide SNAC cell. cold, conserved content evolutionary font-size formation groups growth heat indicate information lines multiple organ osmotic, play points represents revealed rice sativa seed seedlings signaling study transcriptional treatment, treatments vinifera waterlogging, ATAF, Data Ecology Evolutionary Formal Genomics NTL No. SIN_ Stress Table). WRKY ZZM Zhongzhi addition, biological contained development distributed double; drought, duplication function identification levels meristem method patterns regulatory research. root salinity value values (/), (RPKM (XLSX) ./j.-X...x ./tpc.. Abiotic Arabidopsis. Fig). Genetic Genome However, Lee Liu NACs Notably, Oil Project Resistance Sesame Visualization acid amino analyses apical bootstrap border-color border-width clustered diversity example, flower, genes) including journal: largest leaf, performed putative resistance role samples seed, senescence solid; stem, subdomain subdomains treatment. treatments, {font-style {font-weight (TIF) -day-old Bioinformatics. C-terminal Chinese HMM Improvement Key Laboratory MEGA MTFs Mb, Methodology Ministry Model NAM NTLs Overall, PEG RPKM SMART Seo Sequence Sesamum Song Thaliana Wei alignment bars based biotic bold characterization compared contrast, control cotyledon courier; curation database em; genes, green harvested indicated indicum induced leaf linkage located mapped neighbor-joining number obtained oil orthologous pattern physiology. production provide pt;} qRT-PCR quantitative real-time relative reports respectively secondary seeds segmental segments sequencing shared shoot significant specifically stress-responsive structure them, tissues, tissues. tolerance. total treated understanding vinifera. wall water web


This describes the bitness (32-bit or 64-bit) of a registry view in a
Windows OS that supports WOW64.
WOW64 (short for Windows 32-bit on Windows 64-bit) is the x86 emulator
that allows 32-bit Windows-based applications to run seamlessly on
64-bit Windows. Please refer to these MSDN sites for more details:
http://msdn.microsoft.com/en-us/library/aa384249(v=vs.85).aspx and
http://msdn.microsoft.com/en-us/library/aa384253(v=vs.85).aspx
Enum Constants
Name
Description
WOW32
Access the key from the 32-bit view of the Registry.
WOW64
Access the key from the 64-bit view of the Registry.
WOWNative
Access the key from the native view of the
Registry (32-bit on 32-bit versions of Windows,
64-bit on 64-bit versions of Windows).


project-boilerplate
A professional project template for easily create a professional front-end project. This boilerplate includes basic process for you project, such as: build(grunt), documents(jsdoc), validation(jshint)
Features
- Basic folder structure, includes sources, docs, test and release
- Configured Grunt environment
- Configured .jshintrc, .jshintignore and .gitignore
- Configured QUnit environment
- Configured JSDoc environment
- A document template with jekyll
Get Started
Configure your environment:
- node.js
- java
Step
- Checkout https://github.com/shaoke/project-boilerplate.git
- Run
npm install --save-dev
- Run
grunt
. This command will run following task:clean:development
,jshint
,concat
,less:development
,copy:development
,uglify:development
,notify:build
- After command running successful, it generates build files to
build
folder
You also can run following grunt tasks:
grunt development
: this is used for when you develop your project. It will start a server and watch files changegrunt release
: this is used to generate release versiongrunt api-doc
: this is used to generate API document
Folder Structure
project-boilerplate/
|-- build/
|-- release/
|-- docs/
|-- api/
|-- log/
|-- jsdoc-template/
|-- jsdoc-docstrap/
|-- jsdoc-jaguar/
|-- src/
|-- test/
|-- Gruntfile.js
|-- LICENSE
|-- package.json
|-- project.config.js
|-- README.md
jsdoc-docstrap
andjsdoc-jaguar
is a jsdoc templatesrc
stores source code of this projecttest
stores all test filesdocs
stores all document about this project, includes api and developer documentsjsdoc-template
stores jsdoc templatesbuild
andrelease
will be created when you running grunt command, stores build files and release files
Custom
Modify package.json
- Modify
name
property to what you want, I suggest to modify to your project's name - Modify
version
property to what you want, this can be used to name or comment your compiled js, css files. - Modify
homepage
property. If you don't have a homepage, you can remove it - Modify
author
property. If you don't want to show author, you can keep it empty - Modify
license
property.
Modify project.config.js
- All the
__Required__
property need you to modify if your folder isn't same with original value
Modify Gruntfile.js
You can add, modify or remove grunt tasks.
Contact
This application is developed by Shaoke Xu. You can use following way to contact me:
Website: http://shaoke.me
Email<EMAIL_ADDRESS>License
project boilerplate is available under the MIT license. See the LICENSE file for more info.


--- layout: post type: post status: publish tags: - apple - logo - newton - Non-technical - ron - wayne meta: _wpbitly: http://q.bibhas.in/H0GP0O _edit_last: "1" published: true title: First Ever Apple Logo --- I never knew that Apple didn't always have the "apple" as the logo. This is their first logo - [caption id="" align="alignnone" width="468" caption="Apple Inc. - First Logo"][/caption] Click on it for a Higher resolution[1958 x 2457] version. This logo was designed by Ron Wayne, the designer of Apple Inc at that time. The logo features Sir Isaac Newton sitting under an apple tree. It was inspired by a quotation by Wordsworth that was also inscribed into the logo that said:
“Newton… A Mind Forever Voyaging Through Strange Seas of Thought... Alone.”Sources:


Configure the following required inputs to run the plugin. The sample configuration file is at the <Downloaded_Plugin_Package>\properties
directory.
Configure APM REST API
Set value of introscope.public.restapi.enabled property to true In IntroscopeEnterpriseManager.properties
file that is located in the <EM_HOME>\config
folder.
Configure APM Connection
The APM Connection property lets you fetch performance metrics from CA APM. Modify the CA APM connection configuration section in the performance-comparator.properties
file.
############################ #em configuration ############################ #url of enterprise manager. e.g.http://dafth03-i19470.ca.com:8081/ em.url= #security token generated through the securitytoken feature of em., e.g 386deb23-404f-4e75-807d-06e2195310c0 em.authtoken= #timezone of enterprise manager. e.g.UTC em.timezone= #webview port of em. e.g. 8080 em.webview.port=
Depending on the environment (on-prem or SaaS) in which your Enterprise Manager is hosted, the port number can be different. The authtoken is the system token (no public tokens) generated by the APM administrator.
Configure Strategies Information
Configuring the strategies lets you do the following tasks:
- List the strategies with which the two builds are compared
- Map the properties that are associated with each strategy with respective output handlers
- List the Output handlers
- Configure Email(outlook/gmail)
The following code shows the sample of Strategies section of the configuration file:
######################################################## #default metric comparison strategies : # MeanLatency: compares metric values of current build with the corresponding value of benchmark build # StaticThreshold: compares metric values of current build with the threshold value configured for threshold property ######################################################## #list of metrics, e.g. cpu,concurrentinvocations,errorperinterval,gcheap metric.list=cpu,concurrentinvocations #MeanLatency Comparison-Strategy #threshold value, e.g.,2. the build will fail,if the build.fail property value is set true and if the metric's avg value difference #between current and benchmark build cross this value cpu.threshold=1 #agent name of the application, e.g., .* means any agent cpu.agentspecifier=.* #metric path , it will be specific to agent, application. e.g, .*CPU.*Processor 0:Utilization % \\(aggregate\\) cpu.metricspecifier=.*CPU.*Processor 0:Utilization % \\(aggregate\\) #comparator class name excluding the "ComparisonStrategy", e.g., MeanLatency for MeanLatencyComparisonStrategy cpu.comparator=MeanLatency #list of output handlers for this strategy. available output handlers : plaintextemail,jsonfilestore,chartoutputhtml,histogramoutputhtml cpu.outputhandlers=plaintextemail,jsonfilestore,chartoutputhtml,histogramoutputhtml #StaticThreshold Comparison-Strategy #threshold value,e.g., 1. it will be compared with the average value of metric for current build concurrentinvocations.threshold=1 #agent name of the application, e.g., .* concurrentinvocations.agentspecifier=.* #metric path , it will be specific to agent, application. e.g., .*Business Segment.*Health:Concurrent Invocations concurrentinvocations.metricspecifier=.*Business Segment.*Health:Concurrent Invocations #comparator class name excluding the "ComparisonStrategy", e.g., StaticThreshold for StaticThresholdComparisonStrategy concurrentinvocations.comparator=StaticThreshold #list of output handlers for this strategy. available output handlers : plaintextemail,jsonfilestore,chartoutputhtml,histogramoutputhtml concurrentinvocations.outputhandlers=plaintextemail,jsonfilestore,chartoutputhtml,histogramoutputhtml ############################################### #default list of outputhandlers # plaintextemail: mail will be generated with the report of each metric # jsonfilestore : metric values in jsonformat # chartoutput : graph representation, # histogramoutputhtml: buildtobuild comparison #output file for outputhandlers, except plaintextemail, will be in current build directory, inside jenkins workspace folder ############################################### outputhandlers.list=plaintextemail,jsonfilestore,chartoutputhtml,histogramoutputhtml #Email Configuration for outlook/gmail #Valid values for email.mode gmail or outlook email.mode= #smtp host for outlook: mail and for gmail: smtp.gmail.com email.smtp.host= #flag to authenticate or not valid values : true or false email.smtp.auth= #email id of sender e.g<EMAIL_ADDRESS>email.sender.id= #email password. For gmail password is mandatory field. email.password= # to list of email recepients, allows multiple email ids separated by comma (,) . e,g<EMAIL_ADDRESS>email.recepients.to= # cc list of email recepients, allows multiple email ids separated by comma (,) email.recepients.cc= # bcc list of email recepients, allows multiple email ids separated by comma (,) email.recepients.bcc= #gmail specific socket port email.gmailsocketport=465 #gmail specific smtp port email.gmailsmtpport=587
Common Configuration
You can set the logging level. Specify the directories where the extensions, JARs, and output are available. The files are generated by the plug-in.
#name of the application for which you run this plugin e.g. Inventory application.name= ######################### #Optional properties ######################### #benchmark build number for comparison, if blank, value will be previous successful build number build.benchmarkbuildnumber= #number of builds for buildtobuild chart, max value is 10 histogram.builds= #flag to make the build fail/pass if the difference of metric average values of current and benchmark build cross #the configured threshold value. e.g., true/false, default is true. build.fail= #flag to publish the build results to enterprise manager. e.g., true/false, default is false. build.result.publishtoem= #Number of metric values, for each metric, to fetch from EM. Default value is 10 metric.clamp= #Log level SEVERE > WARNING > INFO > CONFIG > FINE > FINER > FINEST > OFF. #Logs can be found at current build directory, inside jenkins workspace folder. default is INFO logging.level= #path of jar file for customized strategies.if this folder is empty, extended strategies (in-case) defined in properties won't be able to execute #e.g., C:\\APM\\AutomicJenkins\\Jenkins\\Jenkins Server\\extensions\\ extensions.directory=
Note:
build.jenkins.loadrunnerstage.duration property value true reads load generator test start/end time durations from jenkins job. If the load generator configuration in the properties file is not required


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This is a JavaScript runner preloaded with the jsqubits library. Enter arbitrary JavaScript in the text area below and press the "Run" button. For more information, see the jsqubits user manual.
{from: 5, to:15}
,
or the constant jsqubits.ALL
.
Currently, the exception to this is applyFunction
as this cannot take arrays.
Also, while the controlledSwap
method is
able to take the various types of bit specifiers as control bits,
it (and the For more details, see the jsqubits user manual.
Copyright 2012 David Kemp. Licensed under the MIT license.


Class BaseGraphWindow
Inheritance
System.Object
UnityEngine.Object
UnityEngine.ScriptableObject
UnityEditor.EditorWindow
BaseGraphWindow
Inherited Members
UnityEditor.EditorWindow.BeginWindows()
UnityEditor.EditorWindow.EndWindows()
UnityEditor.EditorWindow.ShowNotification(UnityEngine.GUIContent)
UnityEditor.EditorWindow.ShowNotification(UnityEngine.GUIContent, System.Double)
UnityEditor.EditorWindow.RemoveNotification()
UnityEditor.EditorWindow.ShowTab()
UnityEditor.EditorWindow.Focus()
UnityEditor.EditorWindow.ShowUtility()
UnityEditor.EditorWindow.ShowPopup()
UnityEditor.EditorWindow.ShowModalUtility()
UnityEditor.EditorWindow.ShowAsDropDown(UnityEngine.Rect, UnityEngine.Vector2)
UnityEditor.EditorWindow.Show()
UnityEditor.EditorWindow.Show(System.Boolean)
UnityEditor.EditorWindow.ShowAuxWindow()
UnityEditor.EditorWindow.GetWindow(System.Type, System.Boolean, System.String, System.Boolean)
UnityEditor.EditorWindow.GetWindow(System.Type, System.Boolean, System.String)
UnityEditor.EditorWindow.GetWindow(System.Type, System.Boolean)
UnityEditor.EditorWindow.GetWindow(System.Type)
UnityEditor.EditorWindow.GetWindowWithRect(System.Type, UnityEngine.Rect, System.Boolean, System.String)
UnityEditor.EditorWindow.GetWindowWithRect(System.Type, UnityEngine.Rect, System.Boolean)
UnityEditor.EditorWindow.GetWindowWithRect(System.Type, UnityEngine.Rect)
UnityEditor.EditorWindow.GetWindow<T>()
UnityEditor.EditorWindow.GetWindow<T>(System.Boolean)
UnityEditor.EditorWindow.GetWindow<T>(System.Boolean, System.String)
UnityEditor.EditorWindow.GetWindow<T>(System.String)
UnityEditor.EditorWindow.GetWindow<T>(System.String, System.Boolean)
UnityEditor.EditorWindow.GetWindow<T>(System.Boolean, System.String, System.Boolean)
UnityEditor.EditorWindow.GetWindow<T>(System.Type[])
UnityEditor.EditorWindow.GetWindow<T>(System.String, System.Type[])
UnityEditor.EditorWindow.GetWindow<T>(System.String, System.Boolean, System.Type[])
UnityEditor.EditorWindow.CreateWindow<T>(System.Type[])
UnityEditor.EditorWindow.CreateWindow<T>(System.String, System.Type[])
UnityEditor.EditorWindow.HasOpenInstances<T>()
UnityEditor.EditorWindow.FocusWindowIfItsOpen(System.Type)
UnityEditor.EditorWindow.FocusWindowIfItsOpen<T>()
UnityEditor.EditorWindow.GetWindowWithRect<T>(UnityEngine.Rect)
UnityEditor.EditorWindow.GetWindowWithRect<T>(UnityEngine.Rect, System.Boolean)
UnityEditor.EditorWindow.GetWindowWithRect<T>(UnityEngine.Rect, System.Boolean, System.String)
UnityEditor.EditorWindow.GetWindowWithRect<T>(UnityEngine.Rect, System.Boolean, System.String, System.Boolean)
UnityEditor.EditorWindow.Close()
UnityEditor.EditorWindow.Repaint()
UnityEditor.EditorWindow.SendEvent(UnityEngine.Event)
UnityEditor.EditorWindow.GetExtraPaneTypes()
UnityEditor.EditorWindow.rootVisualElement
UnityEditor.EditorWindow.wantsMouseMove
UnityEditor.EditorWindow.wantsMouseEnterLeaveWindow
UnityEditor.EditorWindow.autoRepaintOnSceneChange
UnityEditor.EditorWindow.maximized
UnityEditor.EditorWindow.focusedWindow
UnityEditor.EditorWindow.mouseOverWindow
UnityEditor.EditorWindow.minSize
UnityEditor.EditorWindow.maxSize
UnityEditor.EditorWindow.title
UnityEditor.EditorWindow.titleContent
UnityEditor.EditorWindow.depthBufferBits
UnityEditor.EditorWindow.antiAlias
UnityEditor.EditorWindow.position
UnityEngine.ScriptableObject.SetDirty()
UnityEngine.ScriptableObject.CreateInstance(System.String)
UnityEngine.ScriptableObject.CreateInstance(System.Type)
UnityEngine.ScriptableObject.CreateInstance<T>()
UnityEngine.Object.GetInstanceID()
UnityEngine.Object.GetHashCode()
UnityEngine.Object.Equals(System.Object)
UnityEngine.Object.Instantiate(UnityEngine.Object, UnityEngine.Vector3, UnityEngine.Quaternion)
UnityEngine.Object.Instantiate(UnityEngine.Object, UnityEngine.Vector3, UnityEngine.Quaternion, UnityEngine.Transform)
UnityEngine.Object.Instantiate(UnityEngine.Object)
UnityEngine.Object.Instantiate(UnityEngine.Object, UnityEngine.Transform)
UnityEngine.Object.Instantiate(UnityEngine.Object, UnityEngine.Transform, System.Boolean)
UnityEngine.Object.Instantiate<T>(T)
UnityEngine.Object.Instantiate<T>(T, UnityEngine.Vector3, UnityEngine.Quaternion)
UnityEngine.Object.Instantiate<T>(T, UnityEngine.Vector3, UnityEngine.Quaternion, UnityEngine.Transform)
UnityEngine.Object.Instantiate<T>(T, UnityEngine.Transform)
UnityEngine.Object.Instantiate<T>(T, UnityEngine.Transform, System.Boolean)
UnityEngine.Object.Destroy(UnityEngine.Object, System.Single)
UnityEngine.Object.Destroy(UnityEngine.Object)
UnityEngine.Object.DestroyImmediate(UnityEngine.Object, System.Boolean)
UnityEngine.Object.DestroyImmediate(UnityEngine.Object)
UnityEngine.Object.FindObjectsOfType(System.Type)
UnityEngine.Object.DontDestroyOnLoad(UnityEngine.Object)
UnityEngine.Object.DestroyObject(UnityEngine.Object, System.Single)
UnityEngine.Object.DestroyObject(UnityEngine.Object)
UnityEngine.Object.FindSceneObjectsOfType(System.Type)
UnityEngine.Object.FindObjectsOfTypeIncludingAssets(System.Type)
UnityEngine.Object.FindObjectsOfType<T>()
UnityEngine.Object.FindObjectOfType<T>()
UnityEngine.Object.FindObjectsOfTypeAll(System.Type)
UnityEngine.Object.FindObjectOfType(System.Type)
UnityEngine.Object.ToString()
UnityEngine.Object.name
UnityEngine.Object.hideFlags
Namespace: GraphProcessor
Assembly: com.alelievr.NodeGraphProcessor.Editor.dll
Syntax
[Serializable]
public abstract class BaseGraphWindow : EditorWindow
Fields
| Improve this Doc View Sourcegraph
Declaration
[SerializeField]
protected BaseGraph graph
Field Value
| Type | Description |
|---|---|
| BaseGraph |
graphView
Declaration
protected BaseGraphView graphView
Field Value
| Type | Description |
|---|---|
| BaseGraphView |
rootView
Declaration
protected VisualElement rootView
Field Value
| Type | Description |
|---|---|
| UnityEngine.UIElements.VisualElement |
Properties
| Improve this Doc View SourceisGraphLoaded
Declaration
public bool isGraphLoaded { get; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Methods
| Improve this Doc View SourceInitializeGraph(BaseGraph)
Declaration
public void InitializeGraph(BaseGraph graph)
Parameters
| Type | Name | Description |
|---|---|---|
| BaseGraph | graph |
InitializeGraphView(BaseGraphView)
Declaration
protected virtual void InitializeGraphView(BaseGraphView view)
Parameters
| Type | Name | Description |
|---|---|---|
| BaseGraphView | view |
InitializeWindow(BaseGraph)
Declaration
protected abstract void InitializeWindow(BaseGraph graph)
Parameters
| Type | Name | Description |
|---|---|---|
| BaseGraph | graph |
OnDisable()
Declaration
protected void OnDisable()
OnEnable()
Declaration
protected void OnEnable()
OnGraphDeleted()
Declaration
public virtual void OnGraphDeleted()
Events
| Improve this Doc View SourcegraphLoaded
Declaration
public event Action<BaseGraph> graphLoaded
Event Type
| Type | Description |
|---|---|
| System.Action<BaseGraph> |
graphUnloaded
Declaration
public event Action<BaseGraph> graphUnloaded
Event Type
| Type | Description |
|---|---|
| System.Action<BaseGraph> |


Foster parents, ACLU resist Illinois Medicaid plan change
CHICAGO (AP) - Foster parents and child care advocates are resisting a new Illinois Medicaid health care plan that is set to roll out next year, questioning whether it will adequately serve the needs of foster children.
The plan, which is scheduled to begin Feb. 1, will be run by the private contractor IlliniCare Health. The shift is part of a yearslong effort to reduce the state’s Medicaid costs while attempting to improve services for low-income and disabled residents who qualify for the federal program, the Chicago Tribune reported.
The new plan will enroll more than 36,000 current and former foster children in a Medicaid managed care system. Under managed care, states outsource the operation of the program, said Anthony T. Lo Sasso, an economics professor at DePaul University.
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But the change has faced pushback from foster parents and the American Civil Liberties Union of Illinois, which asked the state this month to delay the shift. It said rushing the process will “result in chaotic disruption in children’s care, wasted time, and wasted money.”
“Our goal instead is to prevent a rushed, disorderly and counterproductive rollout,” the ACLU said in a letter to the state Department of Children and Family Services, adding that it doesn’t oppose managed care.
The ACLU, which represents the state’s foster children in a federal consent decree, named 14 areas of the plan that need work. Specifically, it cited concerns about a lack of community-based behavioral health services that would allow children to be treated without being sent to residential facilities.
The plan, called YouthCare, has hired about 200 employees, including health coordinators and operations staff, who will conduct health screenings and help foster parents and former youth in care set up appointments and find doctors.
Molly Hamilton, 37, has been a foster parent for four years and said she likes the current system.
“Why are we changing something that is not wrong?” said Hamilton, who cares for three foster children in her Berwyn home.
Lo Sasso said he thinks the shift to for-profit companies will be more cost-effective. The state will typically pay the managed care company a fixed rate for each plan participant. Under the current system, the state reimburses providers for every service or treatment performed.
“The private plan has an incentive to make sure it enrolls efficient providers … and looks out for waste and abuse and that type of thing in the system, and the state can get out of that difficult business,” Lo Sasso said.
Theresa Eagleson, the director of the Illinois Department of Healthcare and Family Services, said it’s a common misconception that the change is driven by cost reduction.
“We believe that these children, as well as many others in the state, deserve coordinated whole-person health care,” Eagleson said. “Managing or integrating care is about that philosophy, not about saving money. It’s about providing better care to people.”
Information from: Chicago Tribune, http://www.chicagotribune.com
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Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Fantasy Graphics League Redirect
You'll now be redirected to
http://www.realtimerendering.com/fgl/siggraph2005/index.htm, where this year's Fantasy Graphics League is located. You will be forwarded automatically, or click on the link. Enjoy the trip!


abstract fun verifyRequiredSignatures(transaction: TransactionWithSignatures): Unit
Verifies the signatures on the input transaction and throws if any are missing. In this context, "verifying" means checking they are valid signatures and that their public keys are in the TransactionWithSignatures.requiredSigningKeys set.
transaction
- The TransactionWithSignatures that will have its signatures verified.
SignatureException
- If any signatures are invalid or unrecognised.
SignaturesMissingException
- If any signatures should have been present but were not.


See
See is an epic, world-building drama set in the future, when the human race has lost the sense of sight, and society has had to find new ways to interact, to build, to hunt, to survive. All of that is challenged when a set of twins with sight is born.


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IF: external sources exist? open source file select all copy to clipboard select the textarea select all paste your sources from clipboard ELSE: select the textarea select all delete all write your code ENDIF: export as SVG
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Environment.Result module¶
Result.Result class to wrap the simulation results.
-
class
Environment.Result.
Result
(nbArms, horizon, indexes_bestarm=-1, means=None)[source]¶ Bases:
object
Result accumulators.
-
choices
= None¶ Store all the choices.
-
rewards
= None¶ Store all the rewards, to compute the mean.
-
pulls
= None¶ Store the pulls.
-
indexes_bestarm
= None¶ Store also the position of the best arm, XXX in case of dynamically switching environment.
-
running_time
= None¶ Store the running time of the experiment.
-
memory_consumption
= None¶ Store the memory consumption of the experiment.
-
number_of_cp_detections
= None¶ Store the number of change point detected during the experiment.
-
change_in_arms
(time, indexes_bestarm)[source]¶ Store the position of the best arm from this list of arm.
From that time t and after, the index of the best arm is stored as
indexes_bestarm
.
Warning
FIXME This is still experimental!
-
__dict__
= mappingproxy({'__module__': 'Environment.Result', '__doc__': ' Result accumulators.', '__init__': <function Result.__init__>, 'store': <function Result.store>, 'change_in_arms': <function Result.change_in_arms>, '__dict__': <attribute '__dict__' of 'Result' objects>, '__weakref__': <attribute '__weakref__' of 'Result' objects>})¶
-
__module__
= 'Environment.Result'¶
-
__weakref__
¶ list of weak references to the object (if defined)
-


Kimberly Harrod
About
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Contact
Portfolio
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From: Mrs Farah al-Hashemi Address: Chiang Rai hospital 31-12 Chiang Rai - Lampoon Rd, ,Chiang Rai Thailand Dearest Beloved, Thank you for the attention being given to go through my mail.I am Mrs.Farah al-Hashemi, The wife of Iraq military finance corps Chief, who was in charge of the payment of the military salary during his life service time . I am 58 years old, i am now receiving treatment in the hospital. It's quite obvious that I won't live Longer according to my doctor as i am suffering from my kidney transplant illness,this is because my illness has gotten to a very bad stage. My late husband died from the British and American attacks over my country Iraq , I was born in Trinidad & Tobago while my husband is from Iraq and I met my husband during the period of his 4 years training in my country and we got married, during the period of our marriage we had two male children Musa and Idris. After the death of my husband , We inherited some money which my late husband deposited with a Security Company in Thailand for safety .The doctor has advised me that I may not live long, so I now decided to contact you to assist my two sons to claim this money From where it was deposited and guide them for investment as they do not have Idea or experience in business issue My family will be interested in doing business in your country, therefore i would like to seek your assistance and help.I am interested particularly in properties , but your advise on other areas of private sector would be highly appreciated, i am in believe that you would be of great help in guiding my two sons to a successful exploration of the investment potentials of your country , which guarantees good capital returns and human security .As a result of this, i can take you in confidence basically due of the source of the fund , hereby believing that your assistance will be profitable to us. The amount in question is USD$12 Million .I will appreciate your willingness to carry this transactions the gratification remark which will be determined as soon as i hear from you.As i have mapped out 20%, for your assistance and 5% would be used for the re-reimbursement of any expenses that is incurred during on the process of this transaction . Lastly, I honestly pray that this money when transferred to your country will be used for the said purpose of investing in the industry, because I have come to find out that wealth acquisition without Allah is vanity upon vanity. I await your urgent reply to enable me up-date you with more information and how to proceed. Do feel free to ask me any question if you wish to as my husbands death has blocked every trace of this money from us,the documentations relating to the deposit of this fund are all intact with my first son for your verification .I await to hearing from you soonest. Yours Sincerely. Mrs Farah al-Hashemi


// assigning "tennis" to sport var sport = "tennis"; var grandSlam = "wimbledon"; // one of the four majors /* ------------------------------------ Commenting source code is an important practice ------------------------------------ */ var surface = "grass"; /* favors serve and volley */


| Action | K&M | XBox |
|---|---|---|
| Toggles camera | E | Dpad Right |
| Cycle camera modes | RMB | B |
| Toggle entity lock | Spacebar | A |
| Reset camera position | Q | Dpad Left |
| Place marker | X | L3 |
| Remove last marker | H | R3 |
| Toggle speed calculation | Tab | X |
| Toggle road overlay | V | Back |
| Toggle spotlight | F | Y |
| Created by Ryan#5269. |


When you work with us you are part of committed collaborators.All aspects pf our software development
process are intergrated,interactive
and agile
Our approach unifies design, development and product management to create exceptional products.
We start each project by understanding your business goals, ther user's needs and the product requirements.
Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your product vision.
The outcome of tjis scoping session is a proposal or high-level statement of work.
Based on your requirements, we can provide accomplete offering or just the pieces you need.
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing. Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web
development technologies.
They collaborate with your team to write, and improve code on a
daily basis, using proven practices such as test-driven development
and pair programming.
Planning and development is iterative. Because we are constantly
coding and testing, the products that we build are always ready to go
live.
This iterative process allows for changes as business
requirements involve.
1st project
2nd project
3rd project
4th project
5th project
6th project
7th project
8th project
DELANI STUDIO
2019


Toolkits > SamplePacketFileSource 2.0.0 > sample > TestPacketFileSourceConsistentRegion.spl
composite TestPacketFileSourceConsistentRegion { param expression<rstring> $pcapFilename: getSubmissionTimeValue("pcapFilename", "../../SampleNetworkToolkitData/data/sample_dns+dhcp.pcap.pcap" ); type FullPacketType = uint64 packetNumber, // sequence number of packet, as emitted by operator float64 captureTime, // time that packet was captured, in seconds since Unix epoch uint32 packetLength, // original length of packet (not necessarily all captured) blob packetData; // contents of packet captured, including network headers (not necessarily complete) graph @consistent(trigger=operatorDriven) stream<FullPacketType> FullPacketStream as Out = PacketFileSource() { param pcapFilename: $pcapFilename; output Out: packetNumber = packetsProcessed() - 1ul, captureTime = (float64)CAPTURE_SECONDS() + (float64)CAPTURE_MICROSECONDS() / 1000000.0, packetLength = PACKET_LENGTH(), packetData = PACKET_DATA(); } () as FullPacketSink = FileSink(FullPacketStream) { param file: "debug.TestPacketFileSourceConsistentRegion.FullPacketStream.out"; format: txt; hasDelayField: true; flush: 1u; } () as JCP = JobControlPlane() {} }


Brian Cureton from Liverpool allegedly made violent threats towards hospital staff on December 14 last year.
The 46-year-old is also charged with ripping out an extension cord and striking a window with it in his ward.
It is claimed that two days later, Cureton made an abusive remark towards nurse Andrea Jones before allegedly punching health care assistant Caroline Foster on the head and body.
On December 17 he allegedly threatened to rape a nurse before removing plug sockets and throwing them.
A hand-held games console was also allegedly thrown at nurse Beverly Stewart.
It is further alleged that in March this year at Carseview Centre, Cureton hit Robbie Dunn over the head with a remote control.
Sheriff Robert Dickson continued Cureton's case without plea until next month.


index
module components.evita.gramChunk
GramAChunk
GramChunk
GramNChunk
GramVChunk
GramVChunkList
This module contains classes that add grammatical features to NounChunks,
VerbChunks and AdjectiveTokens. The grammatical features drive part of the event
recognition.
class GramAChunk
Inherits from: GramChunk
Contains the grammatical features for an AdjectiveToken.
Public Functions
__init__(self, adjectivetoken, gramvchunk=None)
Initialize with an AdjectiveToken and use default values for most instance
variables, but percolate grammatical features from the copular verb if
they were handed in.
getEventClass(self)
Return I_STATE if the head is on a short list of intentional state
adjectives, return STATE otherwise.
class GramChunk
The subclasses of this class are used to add grammatical features to a
NounChunk, VerbChunk or AdjectiveToken. It lives in the gramchunk variable
of instances of those classes.
Public Functions
__init__(self, chunk_or_token, gramvchunk)
Common initialization for GramNChunk and GramAChunk.
add_verb_features(self, gramvchunk)
Set some features (tense, aspect, modality and polarity) to the values of
those features on the governing verb.
as_verbose_string(self)
Debugging method to print the GramChunk and its features.
print_vars(self)
Debugging method to print all variables.
class GramNChunk
Inherits from: GramChunk
Contains the grammatical features for a NounChunk.
Public Functions
__init__(self, nounchunk, gramvchunk=None)
Initialize with a NounChunk and use default values for most instance
variables.
getEventClass(self)
Get the event class for the GramChunk. For nominals, the event class
is always OCCURRENCE.
getEventLemma(self)
Return the lemma from the head of the GramNChunk. If there is no head
or the head has no lemma, then build it from the text using a stemmer.
class GramVChunk
Inherits from: GramChunk
Public Functions
__init__(self, verbchunk, tCh, negMk, infMk, advPre, advPost)
Initialize with a verb chunk and the lists handed in from the
GramVChunkList object.
__str__(self)
apply_feature_rules(self)
Returns a triple of TENSE, ASPECT and CATEGORY given the tokens of the chunk,
which are stored in self.trueChunk. Selects the rules relevant for the
length of the chunk and applies them. Returns None if no rule applies.
as_short_string(self)
as_verbose_string(self)
getEventClass(self)
Return the event class for the nominal, using the regeluar expressions
in the library.
getHead(self)
Return the head of the GramVChunk, which is the last element of the
core in self.trueChunk, return None if there is no such core.
getModality(self)
getPolarity(self)
getPreHead(self)
Return the element before the head of the GramVChunk, which is the
last element of the core in self.trueChunk, return None if there is no
such element.
isAuxVerb(self)
Return True if the head of the GramVChunk is an auxiliary verb.
is_wellformed(self)
Return True if this GramVChunk is well-formed, that is, it has content in its
trueChunks core and it has a head.
nodeIsBe(self, nextNode)
nodeIsBecome(self, nextNode)
nodeIsContinue(self, nextNode)
nodeIsDoAuxiliar(self)
nodeIsFutureGoingTo(self)
nodeIsHave(self)
nodeIsKeep(self, nextNode)
nodeIsModal(self, nextNode)
nodeIsNotEventCandidate(self)
Return True if the GramVChunk cannot possibly be an event. This is the place
for performing some simple stoplist-like tests.
nodeIsPastUsedTo(self)
normalizeHave(self, form)
normalizeMod(self, form)
pp(self, verbose=False)
set_tense_and_aspect(self)
Sets the tense and aspect attributes by overwriting the default
values with results from the feature rules in FEATURE_RULES. If no
feature rules applied, create a throw-away GramVChunk for the head and
use the features from there (which might still be defaults).
class GramVChunkList
This class is used to create a list of GramVChunk instances. What it does
is (1) collecting information from a VerbChunk or a list of Tokens, (2) move
this information into separate bins depending on the type of items in the
source, (3) decide whether we need more than one GramVChunk for some input,
and (4) create a list of VerbChunks.
Where a GramNChunk is given a NounChunk on initialization, a GramVChunkList
is given a VerbChunk or a list of Tokens (or maybe other categories as well)
GramVChunks are different from NounChunks in that there can be more than one
GramVChunk for a VerbChunk. This is not very common, but it happens for
example in
"More problems in Hong Kong for a place, for an economy, that many
experts [thought was] once invincible."
where "thought was" ends up as one verb chunk.
Another difference is that sometimes a GramVChunk is created for tokens
including tokens to the right of the VerbChunk, for example in
"All Arabs [would have] [to move] behind Iraq."
where there are two adjacent VerbChunks. With the current implementation,
when processing [would have], we end up creating GramVChunks for "would
have" and "would have to move", and then, when dealing with [to move", we
create a GramVChunk for "to move".
TODO: check whether "would have" and "to move" should be ruled out
TODO: check why "to move" is not already ruled out through the flag
Note that in both cases, the root of the issue is that the chunking is not
appropriate for Evita.
TODO: consider updating the Chunker and simplifying the code here.
Public Functions
__getitem__(self, index)
__init__(self, verbchunk=None, tokens=None)
Initialize several kinds of lists, distributing information from the
VerbChunk or list of Tokens that is handed in on initialization and
create a list of GramVChunks in self.gramVChunksList.
__len__(self)
__str__(self)
print_ChunkLists(self)
Private Functions
_addInCurrentSublist(self, sublist, element)
Add the element to the current element (that is, the last element) in
sublist. The elements of the sublist are lists themselves.
_addInPreviousSublist(self, sublist, element)
Add the element to the previous element (that is, the penultimate
element) in sublist. The elements of the sublist are lists themselves.
_distributeNode_ADV(self, item, tempNodes, itemCounter)
Just add the adverb to an adverb list, the trick is to figure out which list
to add it. Factors are the location of the item in the tempNodes list
and the pos tags of the elements following the item.
_distributeNode_MD(self, item)
Add the modal element to the core list.
_distributeNode_NEG(self, item)
Do not add the negation item to the core in self.trueChunkLists, but add it
to the list with negation markers.
_distributeNode_TO(self, item, itemCounter)
If the item is the first one, just add the item to the infinitive markers
list. Otherwise, see if the last element in the core is one of a small
group ('going', 'used' and forms of 'have'), if it is, add the element to the
core, if not, do nothing at all.
_distributeNode_V(self, item, tempNodes, itemCounter)
Add a verb to the lists. This takes one of two actions, depending on the kind
of verb we are dealing with and on whether it is followed by TO.
_distributeNodes(self)
Distribute the item's information over the lists in the GramVChunkLists.
_generateGramVChunks(self)
_initialize_lists(self)
Initializes the lists that contain items (Tokens) of the chunk. Since
one chunk may spawn more than one GramVChunk, these lists are actually
lists of lists.
_initialize_nodes(self)
Given the VerbChunk or a list of Tokens, set the nodes variable to
either the daughters of the VerbChunk or the list of Tokens. Also sets
node and tokens, where the first one has the VerbChunk or None (this is
so we can hand the chunk to GramVChunk, following GramChunk behaviour),
and where the second one is the list of Tokens or None.
_item_is_followed_by_TO(self, tempNodes, itemCounter)
Return True if one of the next two tokens is TO, return False otherwise.
_treatMainVerb(self, item, tempNodes, itemCounter)
Add a main verb to the trueChunks list. That is all that is done when the
item is followed by adverbs only. In other cases, we have a chunk which
has two subchunks and _updateChunkLists is called to introduce the
second chunk. This is to deal with cases like 'might consider filing',
where we want to end up with two events.
_updateChunkLists(self)
Append an empty list to the end of all lists maintained in the
GramVChunkList and update the counter.
module functions
contains_adverbs_only(sequence)
Return true if sequence only contains adverbs, return false otherwise. Return
True if the argument is an empty sequence.
debug(text, newline=True)
getPOSList(constituents)
Returns a list of parts-of-speech from the list of constituents, typically
the constituents are instances of NounChunk, VerbChunk or Token. Used for
debugging purposes.
getWordList(constituents)
Returns a list of words from the list of constituents, typically the
constituents are instances of NounChunk, VerbChunk or Token. Used for
debugging purposes.
getWordPosList(constituents)
Returns a list of word/POS for all constituents.
get_tokens(node_or_sequence)
Get tokens from a node or sequence.
open_pickle_file(fname)
Return the contents of a pickle file.
pprint(object, stream=None, indent=1, width=80, depth=None)
Pretty-print a Python object to a stream [default is sys.stdout].
remove_interjections(gchunklist)
Remove interjections and punctuations from gchunk, which is a
GramVChunkList, where self.node is either a VerbChunk or a list of
tokens. Examples:
- ['ah', ',', 'coming', 'up']
>> ['ah', 'coming', 'up']
- ['she', 'has', ',', 'I', 'think', ',', 'to', 'go']
>> ['she', 'has', 'to', 'go']


Welcome to BProxy
This will guide you through the process of analyzing the security of you apps.
To analyze encrypted traffic please install the CA Certificate by clicking the following link and following the on screen instructions. You can remove the certificate again after the analysis is done.
Download CA Certificate


SNPLink
Please load your unedited SNP document from 23andMe below.
Click here to clear all alleles
Status:


${CSS}
Maintenance!
The system will be available again shortly!
Sorry for the inconvenience!!
${NAVBAR}
${MODAL_PREVIEW} ${MODAL_TAG} ${MODAL_DDROP}
Welcome back,
${USERNAME}
!
${DATA_COUNT}
DATA
${FEED_COUNT}
FEEDS
${RUNNING_COUNT}
RUNNING JOBS
${PLUGIN}
Interactive Plugin
✖
Activity Feed
Favorites
Running
Finished
Search
${TAGS_LIST}
No activity yet.
${FEED_ALL}
${JAVASCRIPT_LIBS} ${JAVASCRIPT_CHRIS}


Clicking on the Edit Seed button opens a message editor to edit the automatically created seed message for the current topic. If the Edit topic seed messages flag is set in Settings Moderate, the message editor will be started automatically when you click on Add to create a new topic.


{% extends "base.html" %} {% block title %}Email Sent{% endblock %} {% block content %}
An email has been sent to {{ email }} - please follow the link inside to finish creating your account.


{{ site.user_description }}
My style is mostly chiptune mixed with other instruments, but I can make stuff in other styles as well!
I'm currently working as the main composer for the indie studio BolHut, but I make my own original themes too. I also do remixes from time to time!
My main tool for composing is Ableton Live with Live Enhancement Suite. I've worked with other DAWs sometimes, but Ableton Live is my main focus right now


Simplates
Simplates are a file format for server-side web programming.
Why Simplates?
Mixing code into templates leads to unmaintainable spaghetti. On the other hand, putting closely-related templates and code in completely separate subdirectories makes it painful to switch back and forth.
Simplates improve web development by bringing code and templates as close together as possible, without mixing them.
We're using simplates successfully in Aspen, the web framework behind Gratipay. We like the pattern. It works for us. Can it also work for other teams using other languages and templating systems and web frameworks? Let's find out. :-)
What Does a Simplate Look Like?
Here's an example:
import random [----] program = request.qs['program'] excitement = "!" * random.randint(1, 10) [----] text/html via stdlib_format
Greetings, {program}{excitement}
 [----] text/plain via stdlib_format Greetings, {program}{excitement} [----] application/json via json_dump { "program": program , "excitement": excitement }
Implementations and Tools
- Aspen—a Python web framework that uses simplates with filesystem routing
- simplate.vim—simplates support for Vim
- simplate.xml—simplates support for Kate
- sublime-simplates—simplates support for Sublime Text
Similar Formats
- Markup Language 9 (ml9)—a simple markup language handling many different types of data in a single unified framework
Feedback? Questions?
Start a conversation on GitHub.


--- layout: page title: "About" description: "This is what I do." header-img: "img/about-bg.jpg" ---
Hey there, I'm Haochen; I am a Georgia Tech graduate student of Electrical and Computer Engineering degree, minoring Computer Science.
If you want to know more about me, just go to the homepage and read my blog entries. I hope you enjoy them!


The Instant Messenger
Queries
The Instant Messenger kit makes use of queries and attributes. You can easily create your own queries for this chat solution, and use them as your buddy lists.
Go to the Deskbar and choose Find, or hit + in a Tracker related window or after first having clicked on the desktop.
In the Query application, choose what file type you want to be searched after by clicking on the pop-down menu All files and folders. In this pop-down menu, first choose application, and from the application's sub-menu, choose Person.
The Query we want to do, is related to the Person files. Choose By attribute from the pop-down menu Name and then that you only want to do the Query on your boot partition (here: Zeta). If you have other BeOS systems on the computer, you can choose All disks.
As you set the Query type to attribute, a new pop-down menu appears and you can choose between all attributes related to that file type. In the bottom of this menu, you will find the attributes that you made when installing the Instant Messenger kit, IM Connections and IM Status. Choose IM Status, and specify the query to be exact (Is). The exact words that we want to do a query on are Available, Away and Offline, and will show us all our friends that are using one of the supported IM protocols.
To get the query correct, each IM Status have to be separated with Or (instead of the default And).
If you find this query useful, you can save it for later use by giving it a name and dragging the query icon to the desktop or add them to /boot/home/config/settings/im_kit/Queries. If you add your saved queries to this folder, they will be accessable from the im_kit's replicant in the Deskbar.
The Live Queries are system wide and can be seen in a various of applications making use of the People files and in the operating system it self. In the Recent applications you can also see with who you recently had a chat with and the online status they have now, and start a new chat with them.
im_contactlist
The cola-coder has made an quite so useful replacement for live queries over online contacts, the im_contactlist. im_contactlist is a specialized attribute reader, only reading the specific im attributes: Icon, name and status. Your contacts can be sorted after these three attributes. Buddies can also be sorted after the People specific attribute Groups. This is done by enabling Show Groups in the Attributes menu.
The tool shows the status of all your contacts. All online contacts are listed in green with an icon highlighted indicating the protocols your buddies are using. Buddies that are online, but away, are listed in yellow. Offline buddies are by default not listed, but this can be changed by enabling Show Offline Contacts. These buddy entries will then be listed with a transparent protocol icon and with their buddy names in red. The showing of offline contacts can of course at any time be turned of again.
In the bottom of the window, all five supported protocols are listed. The protocols that you are available for chats with are highlighted.
Double-clicking a listed online buddy will activate your default chat client, so that you can start chatting with your contact, and if you right-click on a contact a context menu will appear. You can also Start Conversation from this menu, send an e-mail if the contact is not online, visit his/her web page and edit the person's contact information. If there is a need for it, you can prevent a person from seeing when you are online by blocking him/her, and then also deleting the person's People file.


--- layout: post authors: ["Greg Wilson"] title: "Using Jekyll for Lessons" date: 2015-06-24 time: "14:30:00" tags: ["Tooling"] ---
A recurring complaint about our lesson template is that it requires authors to commit generated HTML files to their repositories as well as their Markdown source files. This is necessary because we use Pandoc to convert Markdown to HTML, but GitHub will only run Jekyll.
There were a bunch of reasons for using Pandoc instead of Jekyll, but it is now clear that the simplicity of only committing Markdown—i.e., of using GitHub pages the way they're meant to be used—is more important. We have therefore created a prototype of a Jekyll-based template (which is rendered here). The most important changes are:
Only the source Markdown files go into the repository's gh-pages
branch,
not the generated HTML
The lesson's title, repository URL, and other values are defined once
in a configuration file called _config.yml
.
Blockquotes are styled like this:
> ## Title > > body {: .style}
instead of like this:
> ## Title {.style} > > body
Code blocks are styled similarly, i.e., with the style after the block instead of at the top.
People using source formats other than Markdown, such as R Markdown or Jupyter Notebooks, will still need to convert their files to plain old Markdown (styled as shown above) in order for them to be rendered properly by Jekyll. And we'll need to upgrade the format checking script, which means finding a Kramdown-compatible parser in Python (or getting Kramdown to spit out its AST as a data structure that a Python program can consume). But most of these things have to be done anyway, and it seems that most of our contributors think they're a price worth paying for a "real" GitHub Pages experience.
If you think the change is worth making,
please say so in the comments below
this GitHub issue.
If you think we should stick with our existing tools,
please say that too.
Postscript: many people have said they want the change, largly because it brings us in line with the standard GitHub Pages workflow (which Data Carpentry is using). Several others have counter-arguments, some of which are in this thread from our discussion list. In particular, please read:
this post from John Blischak about us having come full circle, and about us putting time into tooling that we should be putting into creating lesson content;
this one from Doug Latornell about re-mixing our current Pandoc-based workflow; and
this one from Carl Boettiger about Markdown syntax.
We are grateful to Brittany Hemming for her work on the CSS for this prototype, and to Thomas Leitner for advice on Kramdown's Markdown parsing.


---
type: component
title: Multi step bar
usage: A bar used to display multiple steps status
stylesheet: '/scss/components/multi-step-bar.scss'
---
Simple multi step bar with the different states
With mod-multi-step-bar-in-progress-sliding-animation
With mod-small and mod-multi-step-bar-flare-animation
You can also put content in the steps
Step 1
Step 2
Step 3
Step 4


Binds events found as data-* tags to the current object
bindEvents(selector, subject)
| selector |
string, selector where to inspect data-* properties |
| subject |
object, this subject should have correct methods |
This function allows you to define events in HTML and then bind them to the object. It is used internally for all
of the objects to avoid using inline events with JavaScript as it is a potential security volnurability. Most recent
Content Security Policies (CSP) have a quick qay to disable inline JavaScript.
For eample if you have a div defined in HTML as
You can bind events to a custom object in the folliwing way
The general format is


{%if page.title %}
PittGeek » {{ page.title }}
{% else %}
PittGeek
{% endif %}
PittGeek
A blog only a geek could love
{{ content }}
Pages
ScribbishWP Theme
Categories
.NET
Applications
Blog
General
Internet
Mac
Programming
Visual Studio
Syndicate
Articles
Archives
July 2011
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January 2009
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October 2007
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September 2005
Blogroll
Coding Horror
Martin Fowler
Quoted-Printable
Scott Guthrie
Scott Hanselman
{% include analytics.html %}


With the advent of smartphones and handheld video recording technology, filming sporting events has become increasingly popular. But due to the innate fast nature of sports such as basketball, camera operators struggle with filming fast moving objects accurately and with stability.
Bold and Brash - a basketball tracking gimbal that allows any user to interface their smartphone or camera and record while the gimbal accurately tracks the action so you don’t have to. Bold and Brash is a lightweight and moderately priced device capable of:
Bold and Brash will build on top of the traditional camera gimbal feature set, namely, video stabilization, while including the capability for basketball tracking.
Our gimbal works by using a permanently mounted tracking camera to detect a basketball. All detection related processing is performed by an Nvidia Jetson. The Jetson is not only used to locate the ball, but also predict where the ball will be. This information is then sent to an Arduino, which controls the motor-controllers. There are two motor-controllers; one shared between the pitch and roll axes, and a second for the yaw axis. The gimbal-controllers then control the gimbal motors such that the tracking camera sees the ball. Any camera of your choice can be placed on the carriage. As the tracking camera is also attached to the carriage, it is ensured that your personal camera also follows the ball.


PLANET SICK-BOY: http://www.sick-boy.com "We Put the SIN in Cinema" ©Copyright 2001 Planet Sick-Boy. All Rights Reserved.
 It happens every January, and unless you live in Iowa, the stink is coming from your local megaplex. Each year, as Oscar-caliber films that saw limited release in major markets slowly make their way to smaller cities, the big studios try to sneak their worst films into theatres in the hope that you'll mistake Bette Midler's Isn't She Great for Magnolia.
The trend continues this year with Double Take, a horrible film about two characters who swap identities for reasons that still remain unclear. It's like a third-rate version of Kid 'N Play's Class Act, which was a third-rate version of Trading Places, which I'm sure was a third-rate version of something I'm just too young to remember.
Take stars two black men at opposite ends of the Manhattan social spectrum. Daryl Chase (Orlando Jones from the 7UP commercials) is a well-mannered, affluent "sell-out" who works for The Man and has a supermodel girlfriend, while Freddy Tiffany (Eddie Griffin, Malcolm & Eddie) is phat, hip and, supposedly, phunny. They meet when a thief snatches Daryl's briefcase on the way to work. We don't ever learn what it is that Daryl does for a living, but know it must be important when Freddy exclaims, "Man, how you get a big-ass office like this?" after following Daryl to work.
We do know that Daryl's company is involved in some shady dealings with a lazy-eyed Mexican, and before you know it (literally - because it makes no sense), he's discovering dead bodies and being attacked by gun-wielding maniacs because of his business connections. A few really bad explanations later, Daryl is mistaken for a murderer and hops on a train in search of a CIA agent who can get him out of this pickle. Freddy tags along, doing his best impression of Liza (loud, theatrical and exceedingly annoying).
Take features more double-crossing, backstabbing and hidden identities than either of the two Mission: Impossible films, which means, for a film of this magnitude, that the whole thing is a lot more complicated and messy than it needs to be. Writer/director George Gallo, responsible for the equally awful Trouble in Paradise, seems more concerned about the big surprise ending (which is sooo not a surprise) than trying to establish any continuity to the film.
There is a seemingly endless string of completely ludicrous events, like when Daryl and Freddy take the train from New York to Texas and get there overnight. In another scene, which takes place in the middle of nowhere, Daryl is able to procure a car and a fake moustache to alter his identity in an attempt to cross the border. It would be one thing if it didn't make sense and was funny, but there isn't one second of entertainment for anyone that doesn't require a drool bib. Most of the jokes come at the expense of the NYPD and the Mexican character's lazy eye – all things that are so, like, 1999.
Jones is likeable enough as the straight man, but Griffin is so bad, he would have ruined the picture even if it wasn't poorly written and directed. When the film's only real talent (Vivica A. Fox) gets gunned down in the first ten minutes, you know you're going to be in for a long ride. There's also a whole lot of swearing, but nothing bad enough to warrant an "R" rating.
1:30 – PG-13 for violence and adult language
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


SLING BLADE A film review by Christopher Null Copyright 1997 Christopher Null
Unlike most critics, I've been largely unimpressed with Billy Bob Thornton's work in the past. From ONE FALSE MOVE to A FAMILY THING, I've always found his writing to lack depth and miss a true focus.
But then there's SLING BLADE, and with Thornton in complete control as the writer, director, and star of the show, I do believe he's created a real gem.
SLING BLADE has its origins in Thornton's little-seen (and kind of dull) short film, "Some Folks Call It a Sling Blade." The short, a 10-minute black and white affair, is actually incorporated -- nearly verbatim -- into the feature.  After a long spell in the mental hospital, Karl is "well" and is being released into the world.
That's where the short film ends, and that's where my plot description ends as well, because from there on out, SLING BLADE is a true original. The film is an American Gothic tale, following Karl's reluctant return to modern rural Bible Belt society, complete with small-town closet homosexuals (John Ritter, surprisingly good here), bigoted rednecks (Dwight Yoakam), and the Frostee Cream. Unable to deal with the cacophony of new things, Karl just tunes them out, living in the garage of his new little friend (Lucas Black) and subsisting on french fries and mustard, working as a small engine repairman.
But while Karl is simple, he shows us the complexities of life through less experienced eyes, and yet the film never wanders into the campiness of FORREST GUMP. Inside is to be found a tale of true friendship, the meaning of love, an amazing morality fable, and some beautiful imagery. All of it to be found in the simplest of places. It feels slow at times, but the pacing actually enhances the experience of being pulled in to the Deep South.
I loved your movie, but don't get cocky, Billy Bob; I want to see another great one. After all, *I* know Molly Ringwald was in your short film...
RATING: ****1/2
|------------------------------| \ ***** Perfection \ \ **** Good, memorable film \ \ *** Average, hits and misses \ \ ** Sub-par on many levels \ \ * Unquestionably awful \ |------------------------------|
-Christopher Null /<EMAIL_ADDRESS>/ Writer-Producer -Visit the Movie Emporium at http://www.filmcritic.com -and Null Set Productions at http://www.filmcritic.com/nullset.htm
-- Evelyn C. Leeper |<EMAIL_ADDRESS>+1<PHONE_NUMBER> | http://www.geocities.com/Athens/4824 "Doubt is not a pleasant condition, but certainty is absurd." -- Voltaire
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


module GraphQR::ApplyScopes
The ApplyScopes
module defines a way of applying model scopes in the GraphQL universe it is based on the has_scope gem, but simplified for more basic usage
Public Instance Methods
apply_scopes(target, scopes)
click to toggle source
This method is a parallel to the one offerend by the has_scope
gem. A big difference in this case is the necessity of the second parameter (normally it only takes one).
Params:¶ ↑
target
: the ActiveRecordRelation that will be filtered using scopes
scopes
: a hash of scopes and their values, those only accept Array, String, Integer or Boolean types. Hash scopes are not yet supported
Example:¶ ↑
apply_scopes(User, { with_id: [1,2,3], order_by_name: true} )
# File lib/graphqr/apply_scopes.rb, line 24 def apply_scopes(target, scopes) parsed_scopes = parse_scopes(scopes.to_h) parsed_scopes.each do |scope, value| target = call_scope(target, scope, value) end target end


{include file="common/head" /}
{volist name="expert" id="expert"}
{$expert.name}
{$expert.title}
{$expert.introduce}
{/volist}
{include file="common/footer" /}


Administration
Administration
1. Edit Home Page
2. Edit About Battle Page
3. Edit FAQ Page
4. Edit Contacts
5. Edit Links
6. Edit/Add News
7. Edit Terms&Conditions
8. Change Users Status
9. Change Project Status
10. Create/Edit Competition


Outcome Class¶
In Outcome Analysis we’ll look at the responsibilities and collaborators of Outcome objects.
In Design Decision – Object Identity we’ll look at how we can implement the notion of object identity and object equality. This is important because we will be matching Outcome objects based on bets and spinning the Roulette wheel.
We’ll look forward to some other use cases in Looking Forward. Specifically, we know that players, games, and tables will all share references to single outcome objects. How do we do this properly?
In Outcome Design – Complex we’ll detail the design for this class.
In Outcome Design – Simple we’ll detail a simpler design using
@dataclass
definitions from the standard library.
In Outcome Deliverables we’ll provide a list of classes and tests to be built.
We’ll look at a Python programming topic in Message Formatting. This is a kind of appendix for beginning programmers.
Outcome Analysis¶
There will be several hundred instances of Outcome
objects on a given
Roulette table. The bins on the wheel, similarly, collect various Outcome
instances
together. The minimum set of Outcome
instances we will
need are the 38 numbers, Red, and Black. The other instances will add details
to our simulation.
In Roulette, the amount won is a simple multiplication of the amount bet
and the odds. In other games, however, there may be a more complex
calculation because the house keeps 5% of the winnings, called the “rake”.
While it is not part of Roulette, it is good to have our Outcome
class designed to cope with these more complex payout rules.
Also, we know that other casino games, like Craps, are stateful. An Outcome
may change the game state. We can foresee reworking this class to add in
the necessary features to change the state of the game.
While we are also aware that some odds are not stated as , we won’t include these other kinds of odds in this initial design. Since all Roulette odds are , we’ll simply assume that the denominator is always 1. We can foresee reworking this class to handle more complex odds, but we don’t need to handle the other cases yet.
The fundamental consideration here is comparing two instances
of a Outcome
. One will be part of a Bet
,
the other instance will be part of the Wheel
. We need
to know if the bet’s Outcome
matches the wheel’s Outcome
.
How does all object comparison work in Python?
Hint: The default rules aren’t helpful.
The rules reveal the foundations of object state and identity. While this class is seemingly insignificantly trivial, it exposes central Python concepts.
Design Decision – Object Identity¶
Our design must match Outcome
objects. We’ll be testing objects
for equality.
The player will be
placing bets that contain Outcome
instances; the table will be
holding bets. The wheel will select the winning Outcome
instances. We need a
simple test to see if two objects of the Outcome
class are the same.
Was the Outcome
for a bet equal to the Outcome
contained in a spin of the wheel?
It turns out that this comparison between objects has some subtlety to it.
Here’s the naïve approach to class definition that doesn’t include any provision for equality tests.
Naïve Class Definition
>>> class Outcome:
... def __init__(self, name: str, odds: int) -> None:
... self.name = name
... self.odds = odds
This seems elegant enough. Sadly, it doesn’t work out when we need to make equality tests.
In Python, if we do nothing special, the default
special method, __eq__()
, will simply compare
the internal object id values. These object id values are unique to each distinct object,
irrespective of the attribute values.
This default behavior of objects is shown by the following example:
Equality Test Failure
>>> oc1 = Outcome("Any Craps", 8)
>>> oc2 = Outcome("Any Craps", 8)
>>> oc1 == oc2
False
>>> id(oc1) == id(oc2)
False
>>> hash(oc1) == hash(oc2)
False
>>> oc1 is oc2
False
This example shows that we can have two objects that appear equal, but don’t compare
as equal. While we can see they have the same attribute values,
The is
test shows they are distinct objects.
This makes them not equal according to the default methods inherited from object
.
However, we would like to have two of these objects test as equal.
Actually, we want more than simple equality. We need to have them behave identically when used in sets and dictionaries.
More than equal¶
We’ll be creating collections of Outcome
objects, and we may need to create
sets or maps where hash codes are used in addition to the simple equality tests.
Hash Codes?
Every object has a hash code. The hash code is simply an integer. It is a summary of the bits that make up the object. Python computes hash codes and uses these as a quick test for set membership and dictionary keys.
If two hash codes don’t match, the objects can’t possibly be equal. Further comparisons aren’t necessary. If two hash codes do match, there’s a possibility the two objects are equal.
The rare case of equal hash values for unequal objects is called a “hash collision.” It’s a consequence of digesting large and complex objects into small numeric values.
As we look forward, the Python set
and
dict
depend on a __hash__()
method and an
__eq__()
method of each object in the collection.
Hash Code Failure
>>> hash(oc1)
270386794
>>> hash(oc2)
270392959
Note
Exact ID values will vary.
This shows that two objects that look the same to us can have distinct hash codes.
Clearly, this is unacceptable, since we want to be able to create a set of
Outcome
objects without having things that look like repeats.
Layers of Meaning¶
The lesson here is there are three distinct layers of meaning for comparing objects to see if they are “equal”. Here are the layers:
Objects have the same hash code. We can call this “hash equality”.
We need the
__hash__()
method for several objects that represent the sameOutcome
to have the same hash code. When we put an object into a set or a dictionary, Python uses thehash()
function, implemented by the__hash__()
method.Sometimes the hash codes are equal, but the object attributes aren’t actually equal. This is called a hash collision, and it’s rare but not unexpected.
If we don’t implement
__hash__()
, each instance is considered distinct making equality tests and set membership awkwardly wrong.Objects compare as equal. We can call this “attribute equality”.
This means that the
__eq__()
method returnsTrue
. When we use the == operator, this is evaluated by using the__eq__()
method. This must be overridden by a class to implement attribute equality.If we don’t implement this, the default implementation of this method isn’t too useful for our
Outcome
objects.Variables are two references to the same underlying object. We can call this “identity”.
We can test that two objects are the same by using the is comparison operator. This uses the internal Python identifier for each object. The identifier is revealed by the
id()
function.When we use the is comparison, we’re asserting that the two variables are references to the same underlying object. This is most often used when comparing an object against the
None
object. In that exceptional case, we often usex is None
.
How can we get the __hash__()
and __eq__()
implemented properly?
We have several choices. We’ll start by looking at the typing.NamedTuple
class.
Named Tuples¶
The naïve class definition shown above didn’t work out well. A significant improvement
is to use the built-in tuple
class. This can bind a name and a
payoff amount together.
Look at the following example; this shows behavior we would like to see:
>>> oc1 = Outcome("Any Craps", 8)
>>> oc2 = Outcome("Any Craps", 8)
>>> oc1 == oc2
True
>>> id(oc1) == id(oc2)
False
>>> hash(oc1) == hash(oc2)
True
>>> oc1 is oc2
False
This is the behavior we want. Two distinct instances of an outcome compare as equal when all of their individual attribute values are equal.
We can leverage the typing.NamedTuple
to provide this equality
test for our unique classes.
from typing import NamedTuple
class Outcome(NamedTuple):
name: str
odds: int
This definition provides us with a minimal definition of an outcome with all of the right behaviors.
The type hints in this class definition allow us to use mypy to confirm our design is likely to work. This is an important part of static analysis to be sure that the code is likely to work reliably and consistently.
This isn’t the only available solution to building __hash__()
and __eq__()
methods. We can also use a dataclasses.dataclass
.
Frozen Dataclasses¶
We can leverage the dataclasses.dataclass
to provide an equality
test that’s similar to the features of a typing.NamedTuple
.
This gives us a useful equality test for our unique classes.
from dataclasses import dataclass
@dataclass(frozen=True)
class Outcome_d:
name: str
odds: int
This definition provides us with a minimal definition of an outcome with all of the right behaviors.
>>> oc1 = Outcome("Any Craps", 8)
>>> oc2 = Outcome("Any Craps", 8)
>>> oc1 == oc2
True
>>> id(oc1) == id(oc2)
False
>>> hash(oc1) == hash(oc2)
True
>>> oc1
Outcome(name='Any Craps', odds=8)
For the purposes we have in mind, both a typing.NamedTuple
and a
frozen dataclasses.dataclass
have similar behaviors. There
are differences, of course, but they don’t impact anything we’re going to
do.
We’ll use the dataclasses in a number of later exercises. For
that reason, we’ll start with a frozen dataclass as a way to
define the Outcome
class with useful equality comparisons.
Special Method Implementation¶
Instead of using the available standard library class definitions, we can implement a few special methods that will provide useful equality tests. This is more complex than using one of the built-in library classes, but can be helpful for understanding how Python works.
We note that each instance of Outcome
has a distinct Outcome.name
value,
it seems simple enough to compare names. This is one sense of “equal” that
seems to be appropriate.
We can define the __eq__()
and __ne__()
special methods to provide
useful equality tests:
When comparing with a string value, compare the
self.name
attribute.When comparing with an
Outcome
instance, compareself.name
andother.name
.
Similarly, we can compute the value of the __hash__()
method to use only the string name,
and not the odds. This seems elegantly simple to return the hash of the string name
rather than compute a hash.
The definition for __hash__()
in section 3.3.1 of the Language Reference Manual
tells us to
do the calculation using a modulus based on sys.hash_info.width
.
This is the number of bits, the actual value we want to use is
We’d use sys.hash_info.modulus
.
Additional Outcome Design Thoughts¶
We’ll be looking at Outcome
objects in several contexts.
We’ll have them in bins of a wheel as winning outcomes from each spin of the wheel.
We’ll have them in bets that have been placed on the table.
The player will have a set of outcomes they can bet on.
All these uses of Outcome
objects forces us to consider an interesting
question:
How do we implement Don’t Repeat Yourself (DRY) when creating
Outcome
objects?
If a player always bets on black,
we don’t want to include the odds when the player names the “black” Outcome
instance.
Repeating the odds violates the DRY principle.
What are some alternatives?
Global Outcome Objects. We can declare global variables for the various outcomes and use those global objects as needed. Generally, globals variables are often undesirable because changes to those variables can have unexpected consequences in a large application. Global constants are no problem at all. A pool of
Outcome
instances are proper constant values used to create bins and bets. There would be a lot of them, and they would all be assigned to distinct variables. Because of the way Python module imports work, we can define all of these in a single module and share the pool throughout the application.Outcome Factory. We can create an object which is a Factory for individual
Outcome
objects. When some part of the application – for example, the player – needs anOutcome
object, the factory provides the object. The Factory can create use the unique name to locate the completeOutcome
instance. This allows a player to request the “Black”Outcome
instance. If we identifyOutcome
instances by their names, we can avoid repeating the payout odds. When we look at the Roulette Wheel, this seems to be the perfect factory forOutcome
instances. A player can request the domain of allOutcome
instances from the wheel.Singleton Outcome Class. A Singleton class creates and maintains a single instance of itself. This involves some unpleasant meta-programming to change the way object creation works. It’s not particularly difficult, but it seems needless when the other alternatives appear to be simpler. This has the profound disadvantage that each distinct outcome would need to be a distinct subclass of
Outcome
. This is an unappealing level of complexity. Further, it doesn’t solve the DRY problem of repeating the details of each Outcome.
A Factory seems like a good way to proceed. It can maintain a collection,
and provide values from that collection. We can use class strings to identify
Outcome
objects. We don’t have to repeat the odds.
We’ll look forward to this in later chapters. For now, we’ll start with the basic class.
In the next section we’ll look at a complete and detailed definition of
the Outcome
class.
Outcome Design – Complex¶
This is the design for an Outcome
class separate from
any dataclass definition. This is rather complex.
The simpler approach is described below under Outcome Design – Simple.
-
class
Outcome
¶ Outcome
contains a single outcome on which a bet can be placed.In Roulette, each spin of the wheel has a number of
Outcome
objects with bets that will be paid off. For example, the “1” bin has the following winningOutcome
instances: “1”, “Red”, “Odd”, “Low”, “Column 1”, “Dozen 1-12”, “Split 1-2”, “Split 1-4”, “Street 1-2-3”, “Corner 1-2-4-5”, “Five Bet”, “Line 1-2-3-4-5-6”, “00-0-1-2-3”, “Dozen 1”, “Low” and “Column 1”.All of thee above-named bets will pay off if the wheel spins a “1”. This makes a Wheel and a Bin fairly complex containers of
Outcome
objects.
Fields¶
-
Outcome.
name
Holds the name of the
Outcome
. Examples include"1"
,"Red"
.
-
Outcome.
odds
¶ Holds the payout odds for this
Outcome
. Most odds are stated as 1:1 or 17:1, we only keep the numerator (17) and assume the denominator is 1.
We can use name
to as the basis for computing hash codes and doing equality tests.
Constructors¶
-
Outcome.
__init__
(self, name: str, odds: int) → None - Parameters
name (str) – The name of this outcome
odds (int) – The payout odds of this outcome.
Sets the instance name and odds from the parameter name and odds.
Methods¶
For now, we’ll assume that we’re going to have global instances of each
Outcome
. Later we’ll introduce some kind of Factory.
-
Outcome.
winAmount
(self, amount: float) → float Multiply this
Outcome
’s odds by the given amount. The product is returned.- Parameters
amount (float) – amount being bet
-
Outcome.
__eq__
(self, other) → bool¶ Compare the
name
attributes ofself
andother
.
-
Outcome.
__ne__
(self, other) → bool¶ Compare the
name
attributes ofself
andother
.
-
Outcome.
__hash__
(self) → int¶ Hash value for this outcome.
- Returns
The hash value of the name,
hash(self.name)
.- Return type
int
A hash calculation must include all of the attributes of an object that are essential to it’s distinct identity.
In this case, we can return
hash(self.name)
because the odds aren’t really part of what makes an outcome distinct. Each outcome is an abstraction and a string name is all that identifies them.The definition for
__hash__()
in section 3.3.1 of the Language Reference Manual tells us to do the calculation using a modulus based onsys.hash_info.width
. That value is the number of bits, the actual value we want to use issys.hash_info.modulus
, which is based on the width.
-
Outcome.
__str__
(self) → str Easy-to-read representation of this outcome. See Message Formatting.
This easy-to-read String output method is essential. This should return a
String
representation of the name and the odds. A form that looks like1-2 Split (17:1)
works nicely.- Returns
String of the form
name (odds:1)
.- Return type
str
-
Outcome.
__repr__
(self) → str¶ Detailed representation of this outcome. See Message Formatting.
- Returns
String of the form
Outcome(name=name, odds=odds)
.- Return type
str
Outcome Design – Simple¶
A simpler variation on the Outcome
class can be
based on @dataclass(frozen=True)
.
See above, in the fields section, the two fields required.
The default methods created by the @dataclass
decorator should work perfectly.
The __str__()
method will have to be written based on the description above,
under methods.
This should pass all of the unit tests described in the Outcome Deliverables section.
Example Unit Test Case¶
The Outcome
class doesn’t have too many features.
The unit tests should reflect the core simplicity.
def test_outcome():
o1 = Outcome("Red", 1)
o2 = Outcome("Red", 1)
o3 = Outcome("Black", 2)
assert str(o1) == "Red 1:1"
assert repr(o2) == "Outcome(name='Red', odds=1)"
assert o1 == o2
assert o1.odds == 1
assert o1.name == "Red"
assert o1 != o3
assert o2 != o3
This seems to cover almost everything imaginable with respect to the Outcome
class.
Outcome Deliverables¶
There are two deliverables for this exercise. Both will have Python docstrings.
The
Outcome
class. This can be put into aroulette.py
file. A single file can include all of the class definitions.Unit tests of the
Outcome
class. This can be doctest strings inside the class itself, or it can be a separatetest_outcome.py
module.The unit test should create a three instances of
Outcome
, two of which have the same name. It should use a number of individual tests to establish that twoOutcome
with the same name will test true for equality, have the same hash code, and establish that thewinAmount()
method works correctly.We’ve provided an example as part of this section, to clarify what the test case should include.
Message Formatting¶
For the very-new-to-Python, there are few variations on creating a
formatted message string. The str()
function makes use of a class
__str__()
method to provide the class-unique string.
The repr()
function makes use of the class __repr__()
method
to provide the class unit representation.
The str()
function is intended to produce easy-to-read strings.
The repr()
function is intended to provide detailed strings,
often in Python syntax.
Generally, we simply use something like this.
def __str__(self):
return f"{self.name:s} ({self.odds:d}:1)"
The format f-string uses :s
and :d
as detailed specifications
for the values to interpolate into the string. There’s a lot
of flexibility in how numbers are formatted.
There’s another variation that can be handy.
def __repr__( self ):
return f"{self.__class__.__name__:s}(name={self.name!r}, odds={self.odds!r})"
This exposes the class name as well as the attribute values.
We’ve used the !r
specification to request the internal representation
for each attribute values. For a string, it means it will be explicitly
quoted.


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Calculate the Inter-Subject Correlation (ISC)¶
neurora.isc_cal module¶
a module for calculating the inter-subject correlation based on neural data
- neurora.isc_cal.isc(data, time_win=5, time_step=5)¶
Calculate the inter subject correlation (ISC) for EEG-like data
- Parameters
data (array) – The neural data. The shape of data must be [n_subs, n_chls, n_ts]. n_subs, n_chls, n_ts represent the number of subjects, the number of channels and the number of time-points.
time_win (int. Default is 5.) – Set a time-window for calculating the STPS for different time-points. If time_win=5, that means each calculation process based on 5 time-points.
time_step (int. Default is 5.) – The time step size for each time of calculating.
- Returns
isc – The ISC. The shape of isc is [n_subs!/(2!*(n_subs-2)!), n_chls, int((n_ts-time_win)/time_step)+1, 2]. n_subs, n_chls, n_ts represent the number of subjects, the number of channels and the number of time-points. 2 represents a r-value and a p-value.
- Return type
array
Notes
In ISC, correlation computing process will be done for each pair of subjects.
- neurora.isc_cal.isc_fmri(fmri_data, ksize=[3, 3, 3], strides=[1, 1, 1])¶
Calculate the inter subject correlation (ISC) for fMRI (searchlight)
- Parameters
fmri_data (array) – The fmri data. The shape of fmri_data must be [n_ts, n_subs, nx, ny, nz]. n_ts, nx, ny, nz represent the number of time-points, the number of subs & the size of fMRI-img, respectively.
ksize (array or list [kx, ky, kz]. Default is [3, 3, 3].) – The size of the calculation unit for searchlight. kx, ky, kz represent the number of voxels along the x, y, z axis. kx, ky, kz should be odd.
strides (array or list [sx, sy, sz]. Default is [1, 1, 1].) – The strides for calculating along the x, y, z axis.
- Returns
isc – The ISC. The shape of isc is [n_ts, n_subs!/(2!*(n_subs-2)!), n_x, n_y, n_z, 2]. n_ts, n_subs, n_x, n_y, n_z represent the number of time-points, the number of subjects, the number of calculation units for searchlight along the x, y, z axis. 2 represent a r-value and a p-value.
- Return type
array
Notes
The size of the calculation units should at least be [3, 3, 3]. In ISC, correlation computing process will be done for each pair of subjects.
- neurora.isc_cal.isc_fmri_roi(fmri_data, mask_data)¶
Calculate the inter subject correlation (ISC) for fMRI (for ROI)
- Parameters
fmri_data (array) – The fmri data. The shape of fmri_data must be [n_ts, n_subs, nx, ny, nz]. n_ts, nx, ny, nz represent the number of time-points, the number of subs & the size of fMRI-img, respectively.
mask_data (array [nx, ny, nz].) – The mask data for region of interest (ROI). The size of the fMRI-img. nx, ny, nz represent the number of voxels along the x, y, z axis.
- Returns
isc – The ISC. The shape of corrs is [n_ts, n_subs!/(2!*(n_subs-2)!), 2]. n_ts, n_subs represent the number of time-points, the number of subjects. 2 represent a r-value and a p-value.
- Return type
array
Notes
The size of the calculation units should at least be [3, 3, 3].
Notes
In ISC, correlation computing process will be done for each pair of subjects.