Kotlin/Native Gradle 插件
Since 1.3.40, a separate Gradle plugin for Kotlin/Native is deprecated in favor of the kotlin-multiplatform
plugin.
This plugin provides an IDE support along with support of the new multiplatform project model introduced in Kotlin 1.3.0.
Below you can find a short list of differences between kotlin-platform-native
and kotlin-muliplatform
plugins.
For more information see the kotlin-muliplatform
documentation page.
For kotlin-platform-native
reference see the corresponding section.
Applying the multiplatform plugin
To apply the kotlin-multiplatform
plugin, just add the following snippet into your build script:
plugins {
id("org.jetbrains.kotlin.multiplatform") version '1.3.40'
}
Managing targets
With the kotlin-platform-native
plugin a set of target platforms is specified as a list in properties of the main component:
components.main {
targets = ['macos_x64', 'linux_x64', 'mingw_x64']
}
With the kotlin-multiplatform
plugin target platforms can be added into a project using special methods available in the kotlin
extension.
Each method adds into a project one target which can be accessed using the targets
property. Each target can be configured independently
including output kinds, additional compiler options etc. See details about targets at the corresponding page.
import org.jetbrains.kotlin.gradle.plugin.mpp.KotlinNativeTarget
kotlin {
// These targets are declared without any target-specific settings.
macosX64()
linuxX64()
// You can specify a custom name used to access the target.
mingwX64("windows")
iosArm64 {
// Additional settings for ios_arm64.
}
// You can access declared targets using the `targets` property.
println(targets.macosX64)
println(targets.windows)
// You also can configure all native targets in a single block.
targets.withType(KotlinNativeTarget) {
// Native target configuration.
}
}
Each target includes two compilations: main
and test
compiling product and test sources respectively. A compilation is an abstraction
over a compiler invocation and described at the corresponding page.
Managing sources
With the kotlin-platform-native
plugin source sets are used to separate test and product sources. Also you can specify different sources
for different platforms in the same source set:
sourceSets {
// Adding target-independent sources.
main.kotlin.srcDirs += 'src/main/mySources'
// Adding Linux-specific code.
main.target('linux_x64').srcDirs += 'src/main/linux'
}
With the kotlin-multiplatform
plugin source sets are also used to group sources but source files for different platforms are located in different source sets.
For each declared target two source sets are created: <target-name>Main
and <target-name>Test
containing product and test sources for this platform. Common for all
platforms sources are located in commonMain
and commonTest
source sets created by default. More information about source sets can be found
here.
kotlin {
sourceSets {
// Adding target-independent sources.
commonMain.kotlin.srcDirs += file("src/main/mySources")
// Adding Linux-specific code.
linuxX64Main.kotlin.srcDirs += file("src/main/linux")
}
}
Managing dependencies
With the kotlin-platform-native
plugin dependencies are configured in a traditional for Gradle way by grouping them into configurations
using the project dependencies
block:
dependencies {
implementation 'org.sample.test:mylibrary:1.0'
testImplementation 'org.sample.test:testlibrary:1.0'
}
The kotlin-multiplatform
plugin also uses configurations under the hood but it also provides a dependencies
block for each source set
allowing configuring dependencies of this sources set:
kotlin.sourceSets {
commonMain {
dependencies {
implementation("org.sample.test:mylibrary:1.0")
}
}
commonTest {
dependencies {
implementation("org.sample.test:testlibrary:1.0")
}
}
}
Note that a module referenced by a dependency declared for commonMain
or commonTest
source set must be published using the kotlin-multiplatform
plugin.
If you want to use libraries published by the kotlin-platform-native
plugin, you need to declare a separate source set for common native sources.
kotlin.sourceSets {
// Create a common source set used by native targets only.
nativeMain {
dependsOn(commonMain)
dependencies {
// Depend on a library published by the kotlin-platform-naive plugin.
implementation("org.sample.test:mylibrary:1.0")
}
}
// Configure all native platform sources sets to use it as a common one.
linuxX64Main.dependsOn(nativeMain)
macosX64Main.dependsOn(nativeMain)
//...
}
See more info about dependencies at the corresponding page.
Output kinds
With the kotlin-platform-native
plugin output kinds are specified as a list in properties of a component:
components.main {
// Compile the component into an executable and a Kotlin/Native library.
outputKinds = [EXECUTABLE, KLIBRARY]
}
With the kotlin-multiplatform
plugin a compilation always produces a *.klib
file. A separate binaries
block is used to configure what
final native binaries should be produced by each target. Each binary can be configured independently including linker options, executable entry point etc.
kotlin {
macosX64 {
binaries {
executable {
// Binary configuration: linker options, name, etc.
}
framework {
// ...
}
}
}
}
See more about native binaries declaration at the corresponding page.
Publishing
Both kotlin-platform-native
and kotlin-multiplatform
plugins automatically set up artifact publication when the
maven-publish
plugin is applied. See details about publication at the corresponding page.
Note that currently only Kotlin/Native libraries (*.klib
) can be published for native targets.
Cinterop support
With the kotlin-platform-native
plugin interop with a native library can be declared in component dependencies:
components.main {
dependencies {
cinterop('mystdio') {
// Сinterop configuration.
}
}
}
With the kotlin-multiplatform
plugin interops are configured as a part of a compilation (see details here).
The rest of an interop configuration is the same as for the kotlin-platform-native
plugin.
kotlin {
macosX64 {
compilations.main.cinterops {
mystdio {
// Сinterop configuration.
}
}
}
}
kotlin-platform-native
reference
Overview
You may use the Gradle plugin to build Kotlin/Native projects. Builds of the plugin are available at the Gradle plugin portal, so you can apply it using Gradle plugin DSL:
plugins {
id "org.jetbrains.kotlin.platform.native" version "1.3.0-rc-146"
}
You also can get the plugin from a Bintray repository. In addition to releases, this repo contains old and development versions of the plugin which are not available at the plugin portal. To get the plugin from the Bintray repo, include the following snippet in your build script:
buildscript {
repositories {
mavenCentral()
maven {
url "https://dl.bintray.com/jetbrains/kotlin-native-dependencies"
}
}
dependencies {
classpath "org.jetbrains.kotlin:kotlin-native-gradle-plugin:1.3.0-rc-146"
}
}
apply plugin: 'org.jetbrains.kotlin.platform.native'
By default the plugin downloads the Kotlin/Native compiler during the first run. If you have already downloaded the compiler
manually you can specify the path to its root directory using org.jetbrains.kotlin.native.home
project property (e.g. in gradle.properties
).
org.jetbrains.kotlin.native.home=/home/user/kotlin-native-0.8
In this case the compiler will not be downloaded by the plugin.
Source management
Source management in the kotlin.platform.native
plugin is uniform with other Kotlin plugins and is based on source sets.
A source set is a group of Kotlin/Native source which may contain both common and platform-specific code. The plugin
provides a top-level script block sourceSets
allowing you to configure source sets. Also it creates the default
source sets main
and test
(for production and test code respectively).
By default the production sources are located in src/main/kotlin
and the test sources - in src/test/kotlin
.
sourceSets {
// Adding target-independent sources.
main.kotlin.srcDirs += 'src/main/mySources'
// Adding Linux-specific code. It will be compiled in Linux binaries only.
main.target('linux_x64').srcDirs += 'src/main/linux'
}
Targets and output kinds
By default the plugin creates software components for the main and test source sets. You can access them via the
components
container provided by Gradle or via the component
property of a corresponding source set:
// Main component.
components.main
sourceSets.main.component
// Test component.
components.test
sourceSets.test.component
Components allow you to specify:
- Targets (e.g. Linux/x64 or iOS/arm64 etc)
- Output kinds (e.g. executable, library, framework etc)
- Dependencies (including interop ones)
Targets can be specified by setting a corresponding component property:
components.main {
// Compile this component for 64-bit MacOS, Linux and Windows.
targets = ['macos_x64', 'linux_x64', 'mingw_x64']
}
The plugin uses the same notation as the compiler. By default, test component uses the same targets as specified for the main one.
Output kinds can also be specified using a special property:
components.main {
// Compile the component into an executable and a Kotlin/Native library.
outputKinds = [EXECUTABLE, KLIBRARY]
}
All constants used here are available inside a component configuration script block. The plugin supports producing binaries of the following kinds:
EXECUTABLE
- an executable file;KLIBRARY
- a Kotlin/Native library (*.klib);FRAMEWORK
- an Objective-C framework;DYNAMIC
- shared native library;STATIC
- static native library.
Also each native binary is built in two variants (build types): debug
(debuggable, not optimized) and release
(not debuggable, optimized).
Note that Kotlin/Native libraries have only debug
variant because optimizations are preformed only during compilation
of a final binary (executable, static lib etc) and affect all libraries used to build it.
Compile tasks
The plugin creates a compilation task for each combination of the target, output kind, and build type. The tasks have the following naming convention:
compile<ComponentName><BuildType><OutputKind><Target>KotlinNative
For example compileDebugKlibraryMacos_x64KotlinNative
, compileTestDebugKotlinNative
.
The name contains the following parts (some of them may be empty):
<ComponentName>
- name of a component. Empty for the main component.<BuildType>
-Debug
orRelease
.<OutputKind>
- output kind name, e.g.Executabe
orDynamic
. Empty if the component has only one output kind.<Target>
- target the component is built for, e.g.Macos_x64
orWasm32
. Empty if the component is built only for one target.
Also the plugin creates a number of aggregate tasks allowing you to build all the binaries for a build type (e.g.
assembleAllDebug
) or all the binaries for a particular target (e.g. assembleAllWasm32
).
Basic lifecycle tasks like assemble
, build
, and clean
are also available.
Running tests
The plugin builds a test executable for all the targets specified for the test
component. If the current host platform is
included in this list the test running tasks are also created. To run tests, execute the standard lifecycle check
task:
./gradlew check
Dependencies
The plugin allows you to declare dependencies on files and other projects using traditional Gradle's mechanism of
configurations. The plugin supports Kotlin multiplatform projects allowing you to declare the expectedBy
dependencies
dependencies {
implementation files('path/to/file/dependencies')
implementation project('library')
testImplementation project('testLibrary')
expectedBy project('common')
}
It's possible to depend on a Kotlin/Native library published earlier in a maven repo. The plugin relies on Gradle's
metadata
support so the corresponding feature must be enabled. Add the following line in your settings.gradle
:
enableFeaturePreview('GRADLE_METADATA')
Now you can declare a dependency on a Kotlin/Native library in the traditional group:artifact:version
notation:
dependencies {
implementation 'org.sample.test:mylibrary:1.0'
testImplementation 'org.sample.test:testlibrary:1.0'
}
Dependency declaration is also possible in the component block:
components.main {
dependencies {
implementation 'org.sample.test:mylibrary:1.0'
}
}
components.test {
dependencies {
implementation 'org.sample.test:testlibrary:1.0'
}
}
Using cinterop
It's possible to declare a cinterop dependency for a component:
components.main {
dependencies {
cinterop('mystdio') {
// src/main/c_interop/mystdio.def is used as a def file.
// Set up compiler options
compilerOpts '-I/my/include/path'
// It's possible to set up different options for different targets
target('linux') {
compilerOpts '-I/linux/include/path'
}
}
}
}
Here an interop library will be built and added in the component dependencies.
Often it's necessary to specify target-specific linker options for a Kotlin/Native binary using an interop. It can be
done using the target
script block:
components.main {
target('linux') {
linkerOpts '-L/path/to/linux/libs'
}
}
Also the allTargets
block is available.
components.main {
// Configure all targets.
allTargets {
linkerOpts '-L/path/to/libs'
}
}
Publishing
In the presence of maven-publish
plugin the publications for all the binaries built are created. The plugin uses Gradle
metadata to publish the artifacts so this feature must be enabled (see the dependencies section).
Now you can publish the artifacts with the standard Gradle publish
task:
./gradlew publish
Only EXECUTABLE
and KLIBRARY
binaries are published currently.
The plugin allows you to customize the pom generated for the publication with the pom
code block available for every component:
components.main {
pom {
withXml {
def root = asNode()
root.appendNode('name', 'My library')
root.appendNode('description', 'A Kotlin/Native library')
}
}
}
Serialization plugin
The plugin is shipped with a customized version of the kotlinx.serialization
plugin. To use it you don't have to
add new buildscript dependencies, just apply the plugins and add a dependency on the serialization library:
apply plugin: 'org.jetbrains.kotlin.platform.native'
apply plugin: 'kotlinx-serialization-native'
dependencies {
implementation 'org.jetbrains.kotlinx:kotlinx-serialization-runtime-native'
}
The the example project for details.
DSL example
In this section a commented DSL is shown. See also the example projects that use this plugin, e.g. Kotlinx.coroutines, MPP http client
plugins {
id "org.jetbrains.kotlin.platform.native" version "1.3.0-rc-146"
}
sourceSets.main {
// Plugin uses Gradle's source directory sets here,
// so all the DSL methods available in SourceDirectorySet can be called here.
// Platform independent sources.
kotlin.srcDirs += 'src/main/customDir'
// Linux-specific sources
target('linux').srcDirs += 'src/main/linux'
}
components.main {
// Set up targets
targets = ['linux_x64', 'macos_x64', 'mingw_x64']
// Set up output kinds
outputKinds = [EXECUTABLE, KLIBRARY, FRAMEWORK, DYNAMIC, STATIC]
// Specify custom entry point for executables
entryPoint = "org.test.myMain"
// Target-specific options
target('linux_x64') {
linkerOpts '-L/linux/lib/path'
}
// Targets independent options
allTargets {
linkerOpts '-L/common/lib/path'
}
dependencies {
// Dependency on a published Kotlin/Native library.
implementation 'org.test:mylib:1.0'
// Dependency on a project
implementation project('library')
// Cinterop dependency
cinterop('interop-name') {
// Def-file describing the native API.
// The default path is src/main/c_interop/<interop-name>.def
defFile project.file("deffile.def")
// Package to place the Kotlin API generated.
packageName 'org.sample'
// Options to be passed to compiler and linker by cinterop tool.
compilerOpts 'Options for native stubs compilation'
linkerOpts 'Options for native stubs'
// Additional headers to parse.
headers project.files('header1.h', 'header2.h')
// Directories to look for headers.
includeDirs {
// All objects accepted by the Project.file method may be used with both options.
// Directories for header search (an analogue of the -I<path> compiler option).
allHeaders 'path1', 'path2'
// Additional directories to search headers listed in the 'headerFilter' def-file option.
// -headerFilterAdditionalSearchPrefix command line option analogue.
headerFilterOnly 'path1', 'path2'
}
// A shortcut for includeDirs.allHeaders.
includeDirs "include/directory" "another/directory"
// Pass additional command line options to the cinterop tool.
extraOpts '-verbose'
// Additional configuration for Linux.
target('linux') {
compilerOpts 'Linux-specific options'
}
}
}
// Additional pom settings for publication.
pom {
withXml {
def root = asNode()
root.appendNode('name', 'My library')
root.appendNode('description', 'A Kotlin/Native library')
}
}
// Additional options passed to the compiler.
extraOpts '--time'
}


Class Road This class contains a unique identifier for each road, its name and a boolean flag telling if the road is one or two ways;.
More...
#include <Road.h>
|
|
| Road () |
| | Constructor of Road Initializes an empty Road.
|
| |
| | Road (unsigned long id, bool twoWay) |
| | Constructor of Road. More...
|
| |
| | Road (unsigned long id, const string &name, bool twoWay) |
| | Constructor of Road. More...
|
| |
|
void | setName (const string &name) |
| | function that sets the name of the road
|
| |
| const string & | getName () const |
| | function that returns the name of the road More...
|
| |
| void | setTwoWay (bool twoWay) |
| | function that sets the boolean two way More...
|
| |
| bool | getTwoWay () const |
| | returns true if the road is two away More...
|
| |
| unsigned long | getId () const |
| | function that returns the road's id More...
|
| |
| bool | operator== (const Road &p2) const |
| | function that allows the overloading of the operator == , in order to compare two roads More...
|
| |
|
| ostream & | operator<< (ostream &os, Road &p) |
| | function that allows the overloading of the operator <<, in order to compare to roads More...
|
| |
Class Road This class contains a unique identifier for each road, its name and a boolean flag telling if the road is one or two ways;.
| Road::Road |
( |
unsigned long |
id, |
|
|
bool |
twoWay |
|
) |
| |
Constructor of Road.
- Parameters
-
| unique | identifier |
| boolean | telling if the road has two ways |
| Road::Road |
( |
unsigned long |
id, |
|
|
const string & |
name, |
|
|
bool |
twoWay |
|
) |
| |
Constructor of Road.
- Parameters
-
| unique | identifier |
| string | containing the road's name |
| boolean | telling if the road has two ways |
| unsigned long Road::getId |
( |
| ) |
const |
function that returns the road's id
- Returns
- unsigned long of the road's id
| const string & Road::getName |
( |
| ) |
const |
function that returns the name of the road
- Returns
- road name
| bool Road::getTwoWay |
( |
| ) |
const |
returns true if the road is two away
- Returns
- true if the road is two way
| bool Road::operator== |
( |
const Road & |
p2 | ) |
const |
function that allows the overloading of the operator == , in order to compare two roads
- Parameters
-
- Returns
- true if equal, false if different
| void Road::setTwoWay |
( |
bool |
twoWay | ) |
|
function that sets the boolean two way
- Parameters
-
| boolean | that tells if the road is two way |
| ostream& operator<< |
( |
ostream & |
os, |
|
|
Road & |
p |
|
) |
| |
|
friend |
function that allows the overloading of the operator <<, in order to compare to roads
- Parameters
-
- Returns
- the stream
The documentation for this class was generated from the following files:


Caglio
26-Nov-18 09:16 PM
Oh no worries, no other time
I can perfectly use fiat for anything I need
1
I dont need boxingcoin for my gloves
Nor dopecoin for my drugs
Also I dont need to pay 12 different taxes just to use it, nor there is possibility it gets lost, also it doesnt lag when servers go down
However I totally want a milk coin, to buy my milk from a local farmer
I hope u will write a line of code, or two, so you make it possible to me ( :
ComputerGenie obviously dont
He is trying to roast me here for no particular reason, I mean I can probably give few, but there is no point
But thankfully there are other people that can debate normally here


Hello!
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Agenda:
( Show Details
Hide Details )
-
TypeScript Overview
0
- Course intro and overview30
- What is TypeScript?30
- EcmaScript Support20
- Key TypeScript Features40
- TypeScript vs. Other JavaScript Superset languages20
- TypeScript in node.js and Angular210
Getting Started0
- Quick Installation15
- TypeScript IDEs integration (Atom/SublimeText3/VisualStudio/)25
- From JavaScript to TypeScript30
- TypeScript program structure and hierarchy.20
- A Typed "Hello World" example of types and classes.30
- Practical Exercises30
Introduction to TypeScript Type System0
- The Structural Typing of TypeScript40
- Type Annotations30
- Type Inferences and duck-typing30
- Type Assertions (Casting)40
- The Any type10
- Practical Exercises30
The primitive types0
- Booleen, Number, String, Symbol30
- Void, Null and Undefined20
- User defined enum types10
- Practical Exercises30
The object types0
- Array Types30
- Members40
- User defined enum types20
- Practical Exercises30
Functions0
- The three types of functions.30
- The optional, default and rest parameters.30
- Type Parameters20
- The arguments variable10
- Callbacks and function signatures.30
- Function Overloads30
- The Return type.30
- More on "arrow" functions.10
- Practical Exercises50
Scope0
- The JavaScript scope pitfall.20
- "Let" precise the scope.10
- Practical Exercises30
Classes0
- Class Declarations20
- Properties and Fields30
- Methods (Arrow Functions and Constructors)20
- Events20
- Access Modifiers10
- Static Classes and Members20
- Object Literals and Anonymous Types20
- Class Inheritance30
- Super Calls10
- Practical Exercises30
Interfaces
- Interfaces - introduction and declarations40
- Applying Interfaces as Function Types30
- Implementing interfaces with Class Types40
- Interface Inheritance.30
- Practical Exercises40
Generics
- Generics bases.30
- A generic implementation of a class.20
- The "T" Type and its constraints.20
- Generic interfaces.30
- Class Types in Generics30
- Practical Exercises20
Design Patterns in TypeScript0
- Using TypeScript in large business projects30
- A practical example with the Singleton Pattern.20
- Implementing the Prototype Pattern30
- Solve a real-world categorisation problem with Factory Design Pattern40
Packages and Modules0
- The "separation of concerns" strategy.20
- Exporting a module20
- Importing a module20
- Namespaces and Modules30
- CommonJS modules approach.20
- TypeScript AMD and RequireJS20
- Practice20
Declaration Files
- Shaping the external libraries functionality.30
- Best practices for writing clear declaration files.30
- Practice30
The Test-Driven mindset
- The benefits.30
- Unit testing frameworks.20
- Testing with tsUnit.30
- Practice40


Receive your inventory and pack your parcel according to the orders
Our packing team will use the right type of packing materials for each product and choose a suitable sized box to keep the package light and small.
You can view detailed costs of storage, picking and shipping in the dashboard.
GM warehouse system also uses a combination of weight, visual and barcode checks, to help the team accurately pick and pack the right items.
GM have a wide range of packing materials and packaging fillers. This includes unbranded boxes, bubble wraps, corner protectors, packing tapes, etc.
GM do not compromise on protection. Our experienced packers will pack your orders in the right way to ensure their safety during transportation.
For some vulnerable products, the use of reinforced packing is even more necessary. We will recommend you to use some specific packing materials to ensure safe transportation.
Fully branded, custom packing with no minimum order quantity requirement.
Value-added services such as kitting and simple product assembly.
Marketing inserts and online tracking for your customers to increase your customer loyalty and boost your sales.
GM fulfillment software will help the picking staff to pick items quickly by guiding them to use the most efficient picking route within the warehouse.
The productiveness of picking and packing orders is ensured by using PDA and barcode technologies. We use a combination of weight verification, visual and barcode checks to guarantee pick and pack accuracy.


Competency checklist
This is a checklist of the core competencies you need for bootcamp
Command line
I can:
- Navigate ✓
- create files ✓
- rename files ✓
- move files ✓
Git
I can:
- Clone ✓
- Fork ✓
- set and sync remotes ✓
- stage & push ✓
- Pull ✓
- Branch ✓
- handle pull requests ✓
- make good commit messages ✓
- make small frequent commits ✓
- view my git log ✓
Design
I can:
- create wireframes ✓
- 'boxify' my wireframes ready for HTML & CSS creation ✓
HTML
I can:
- create elements ✓
- use tag attributes ✓
- use semantic HTML ✓
- create a valid HTML page structure ✓
- perfectly indent my HTML ✓
- create HTML from wireframes ✓
- use HTML only for content, not styling ✓
- abstain from inline styling ✓
- use Content Delivery Networks (CDNs) ✓
CSS
I can:
- link CSS file to HTML file ✓
- use element selectors ✓
- use class selectors ✓
- use good reusable class names ✓
- use child and parent selectors ✓
- use CSS specificity ✓
- use the cascading nature of CSS ✓
- apply colors ✓
- apply font styling ✓
- normalise CSS across browsers ✓
- use Google Dev Tools to inspect and test CSS ✓
- handle images with CSS ✓
- position elements with ✓
- fixed position ✓
- absolute position ✓
- relative position ✓
- static position ✓
- use flexbox to position elements ✓
- use the box model to position and style elements ✓
- use media queries ✓
- use mobile first styling ✓
- use a grid framework to create a responsive page ✓
DOM
I can:
- inspect the DOM in Chrome DevTools ✓
JS
I can:
- link JS file to HTML file ✓
- use all the JS datatypes ✓
- declare variables ✓
- manipulate strings ✓
- manipulate arrays ✓
- manipulate objects ✓
- use prompts and alerts ✓
- use comments in my code ✓
- use if/else statements ✓
- use switch statements ✓
- use basic regular expressions ✓
- use 'truthy' and 'falsy' values ✓
- use vanilla JS to manipulate the DOM ✓
- use jQuery to manipulate the DOM ✓
- use console.log ✓
- perfectly indent my JS ✓
- use and understand scope ✓
- declare functions ✓
- explain the difference between arguments and parameters ✓
- return things from functions ✓
- use while/do loops ✓
- use for loops ✓
- use map ✓
- use reduce ✓
- use filter ✓
- give my functions and variables good descriptive names ✓
- create single responsibility functions ✓
Problem Solving
I can:
- Pseudocode ✓
- try some code ✓
- isolate the bug ✓
- debug - ✓
- talk to my rubber ducky ✓
- read the error messages ✓
- Console.log ✓
- Google ✓
- ask my other students ✓
- ask a coach ✓
- reflect and learn from my experience ✓
- recognise when I need to ask for help ✓
Learning
I can:
- identify how I learn best ✓
- optimise my learning ✓
- prioritise process over product ✓
Habits
I have developed habits of:
- Reflecting ✓
- time managment and productivity ✓
- Perservering ✓
- Exploring ✓
- Communication ✓
Core
I can increasingly:
practice mindfulness (even if just a couple of minutes) ✓
- observe my patterns of thought ✓
- hold attention ✓
- apply mindfulness to my interactions other students and Dev Academy ✓
- Journal ✓
- body scan ✓
- identify my values ✓
- use listening and looping ✓
- use conscious listening ✓
- communicate openly and honestly ✓
- give valuable, kind and honest feedback ✓
- gracefully recieve feedback ✓
- hold integrity ✓
- hold kindness ✓
- hold effort ✓


Member of the EU Sparc Robotics group - https://sparc-robotics-portal.eu
Technical (i.e., main PI) Coordinator of EU and National grants:Technical coordinator of the H2020 project "COSMOS: DevOps for Complex Cyber-physical Systems" Technical coordinator of the Innosuisse project "ARIES: Exploiting User Journeys and Testing Automation for Supporting Efficient Energy Service Platforms" Technical coordinator of the "Hasler Foundation" project "Bridging the Reality Gap in Testing Unmanned Aerial Vehicles"
Reviewer/opponent of Ph.D. Dissertations: External Review of Ph.D.research proposal by Mme Zid at at Polytechnique Montréal (August 2022). Reviewer/opponent of a Ph.D. Dissertation of Nitish Shriniwas at University of Bern, Institute of Computer Science (March 2022). Reviewer/opponent of a Ph.D. Dissertation at University of Tartu, Institute of Computer Science (2019/2020) Keynote Speaker of International Conferences and co-located events: - Keynote speaker at AIST (co-located to ICST 2023) - slides - Keynote speaker at VST 2018 (co-located to SANER 2018) - slides - Keynote speaker the Workshop on Dependable DevOps co-located with the SafeComp conference, 2021. Editor or Co-editor of special Issues at International Journals: - Editor of Software Track special Issue at Journal of Science of Computer Programming on "SBST’22: Search-Based Software Engineering – Tools. 2022" - link - Editor of Software Track special Issue at Journal of Science of Computer Programming on "NLP-based software engineering. 2022" link - Editor of a the special Issue at EMSE entitled "Software Engineering for Mobile Applications. 2018" - Editor of a the special Issue at IST entitled "User Feedback and Software Quality in the Mobile Domain. 2018" Organising Summer Schools workshops: 1st Summer School on Software Evolution: From Monolithic to Cloud-Native. Program available at https://research.tuni.fi/clowee/news/inforte-cloud/ Organising research workshops: Co-organizer of the CHOOSE-forum 2017 (http://www.choose.s-i.ch/events/forum2017/index.html) Lecturer in International Summer Schools: Lecturer at the Summer School on "Search- and Machine Learning Software Engineering" - link - slides Chair of International Workshops: - Workshop on Natural Language-Based Software Engineering Workshop (NLBSE) - Collocated with ICSE 2022, ICSE 2023 - Workshop on Search-Based Software Testing (SBST) - Collocated with ICSE 2022, ICSE 2023 - Organizer and chair of the The 1st International Workshop on Advanced DevOps, Analysis Tools and Reengineering Practices for AI-based, Cyber-physical, and Distributed Systems (ADEVOPS4IoTSYS) co-located with the International Conference on Software Analysis, Evolution, and Reengineering (SANER’22) - Organizer and chair of the Workshop on DevOps Testing for Cyber-Physical Systems - Collocated with ICST 2021 - SBST Tool competition - Collocated with ICSE 2020 and 2021 - First International Workshop on Cloud-Native Applications Design and Experience - CNAX 2018 Co-located with UCC 2018 and BDCAT 2018 conferences Zurich, Switzerland. Editorial Board Member of International Journals: Journal of Software: evolution and process Review Board Member of International Journals: Empirical Software Engineering (EMSE) ACM TOSEM Board of Distinguished Reviewers} Organising committee member of International Conferences and Workshops: Program Committee member of the International Conference on Software Engineering - (ICSE 2023, 2022, 2018) Program Committee member of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021) Reviewer of Research Track, Industrial Track and Expert Review Panel Member of the International Conference on Automated Software Engineering (ASE 2022, 2021, 2017). Program Committee member of the the IEEE Conference on Software Testing, Validation and Verification (ICST 2022, 2020) Program Committee member of International Conference on Software Maintenance and Evolution (ICSME 2023, 2022, 2018, 2017). Program Committee member of the International Conference on Mining Software Repositories (MSR 2022, 2020, 2019, 2018, 2016) Program Committee member of the International Conference on Software and Data Technologies (2021) Program Committee member of the International Conference on Program Comprehension (ICPC 2023, 2022, 2020, 2017, 2016, 2015, 2014). Program Committee member of the International Conferance on Software Analysis, Evolution and Reengineering (SANER 2023, 2022, 2021, 2020, 2019, 2017) Program Committee member of workshop on Quality Aspects in Digital Twins and Cyber-physical Systems (QUATIC 2022). Program Committee member of 1st International Workshop on Machine Learning and Software Engineering in Symbiosis. Program Committee member of ESEC/FSE 2018 - Formal Demonstration Track. Program Committee member of SBST 2018 (11th International Workshop on Search-Based Software Testing), Gothenburg, Sweden. Program Committee member of the Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2017, 2016, 2015). Program Committee member of the 10th Seminar on Advanced Techniques & Tools for Software Evolution" (SATToSE 2017), Madrid, Spain. Program Committee member of the Symposium on Search-Based Software Engineering (SSBSE 2023, 2021, 2020) Program Committee member of the International Workshop on Machine Learning Techniques for Software Quality Evolution (2020) Program Committee member of the International Workshop on Search-Based Software Testing (SBST 2020, 2019, 2018) Program Committee member of the of 3rd International Workshop on App Market Analytics (WAMA 2019) Program Committee member of the International Workshop on Artificial Intelligence Safety Engineering - WAISE (2020) Program Committee member of the Workshop on Validation, Analysis and Evolution of Software Tests (VST 2022). Program Committee member of the International Workshop on Robotics Software Engineering (RoSE) Program Committee member of the International Conference on the Quality of Information and Communications Technology.
Reviewer for the following International Journals: - Empirical Software Engineering - Transactions on Software Engineering - Transactions on Software Engineering and Methodology - Journal of Systems and Software - Information and Software Technology - Journal of Software: Evolution and Process - Science of Computer Programming - Journal of Computer Science and Technology - Communications of the ACM - Software Testing, Verification and Reliability - Transactions on Services Computing - Transactions on Mobile Computing - Communications of the ACM
Additional reviewer of International Conferences: 31st IEEE/ACM International Conference on Automated Software Engineering (ASE 2016), Singapore, Singapore 30th IEEE/ACM International Conference on Automated Software Engineering (ASE 2015), Lincoln, Nebraska, USA. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Canada.Web Chair of International Conferences: 21st International Conference on Program Comprehension (ICPC 2013), San Francisco, California, USA.
Session Chair of International Conferences: - at the 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017 - ERA Track), Klagenfurt, Austria. - at the MSR 2018 - technical session, entitled "APIs and Code", Gothenburg, Sweden. Internship in Canada: From 27 May 2013 to 27 July 2013 he has been a visiting researcher at the Ecole Polytechnique de Montreal, Canada. Supervisor: Prof. Giuliano Antoniol. External Reviewer of Grant Applications: External Reviewer of PRIN (National Project) and member of the CNVR (National Committee for the Evaluation of Research) for the Ministry for University and Research (MUR) in Italy, aimed at financing public research projects. . External Reviewer of projects submitted in the Quebec-Flanders bilateral research cooperation program. External Reviewer of projects submitted in the Mitacs Accelerate research program. Research Meetings: Leading a Shonnan meeting with the National Institute of Informatics (NII), Japan, on the topic: "DevOps for Cyber-physical Systems" . Sebastiano Panichella was invited by the National Institute of Informatics (NII), Japan, to participate in NII Shonan Meeting entitled Mobile App Store Analytics (Japan). Talks Given: - International Summer School on Software Engineering 2011 How identify Mentors in software projects? Discussion and perspectives July 2011.


A Brief History of the Heart of Texas
McCulloch County
"Brady is the most geographically center city in Texas. The annual World Championship Barbeque Goat Cook Off is held every labor day weekend."
-- WELCOME TO BRADY TEXAS
Welcome to Brady Texas
- 1870 - The Brady community was settled in the 1870s and was named Brady City, after the Brady Creek which runs through town.
- 1876 - Brady grew quickly after it was chosen as the seat of McCulloch County on May 15, 1876.
- 1877 - In 1877, Brady had a population of about 50 residents.
- 1878 - The County couthouse was built from native sandstone in 1878.
- 1884 - By 1884, Brady had two churches, one district school, three stores, two hotels, and more than 300 residents.
- 1880s - 1890s - The number of farms and fences greatly increased by the influx of immigrants. Poultry, sheep, goats, cotton, and pecans became the important sources of income for the local residents.
- 1903 - In 1903, the Fort Worth and the Rio Grande Railway arrived, Brady become a major shipping point for Central Texas.
- 1906 - The name was shortened to Brady when the town was incorporated in 1906.
- 1910 - The old, three-story McCulloch Jail was built, and served as a correctional facility for many years. Inside the jail is a “death cell” that was used for extremely troubled prisoners.
- 1920s - 1950s - The Brady population grow slowly from the 1920s through the 1950s, with the highest population being 6,800 in 1958.
- 1974 - The jail became to a historical museum and was named the Heart of Texas Historical Museum.
- 1974 - 16 teams got together to roast some goat in an effort to raise money for the Jaycees of McCulloch County, becoming the first Goat Cook Off.
- 1988 - By 1988 Brady had 5925 residents and 142 businesses.
- 1989 - Pari-mutuel wagering returned to Texas after 52-year hiatus at G.Rollie White Downs.
"Brady is a small town with a big heart." -- by a local teacher work in Brady High School


@Documented
@Retention(value=RUNTIME)
@Target(value=TYPE)
public @interface ConfiguratorSetup
The @ConfiguratorSetup annotation sets paths to loads properties from files and to preload JSON.
The @ConfiguratorSetup annotation can be used many times, paths are summing up, but if the attributes 'runtimeCheck' and 'allowDeploymentWithExceptions' are set in many places the result is unpredictable. Depends on which annotation is discovered last.
For JSON, preload also checks if the JSON structure is valid.
To preload URL paths a different application must be used. The Configurator tries to download and verify values for the @ConfiguratorSetup annotation at the deployment time and it can not be done because at this point the current application is not ready to serve responses to requests.
Class memebers allow to set values or default values from fields or methods. To preload them, they must be placed in the same class where the @ConfiguratorSetup annotation is located.
Difference between property paths and jsonPropertyFilePaths is that if JSON is put in the property paths it is always reloaded and parsed and is not put in the JSON internal storage. If you need JSON from properties use the latter option.
There is an information in logs after deployment for each @ConfguratorSetup annotation that shows settings and what was found and loaded.
-------------------------------------------------------------------------- Configurator @ConfiguratorSetup from class: configurator.json.test.TestSetup @ConfiguratorSetup runtimeCheck: false, allowDeploymentWithExceptions: true @ConfiguratorSetup readTimeout: 1000, connectionTimout: 1000 @ConfiguratorSetup properties paths found: [/config/prop1.properties, /config/prop2.properties] @ConfiguratorSetup json properties paths found: [] @ConfiguratorSetup json files found: [] @ConfiguratorSetup json urls found: [] @ConfiguratorSetup json members found: [jo, ja] --------------------------------------------------------------------------
| Modifier and Type | Optional Element and Description |
|---|---|
boolean |
allowDeploymentWithExceptions
When false, if any exception is thrown at the deployment time the deployment fails, if true will only log severe logs with errors.
|
int |
connectionTimeout
Used for URL connections.
|
java.lang.String[] |
jsonFiles
Paths to file(s) containing JSON saved in a file.
|
java.lang.String[] |
jsonMembers
Method(s) or field(s) that return a JSON or a parsable String.
|
java.lang.String[] |
jsonPropertyFilePaths
Paths to file(s) containing 'key=stringified JSON' pairs.
|
java.lang.String[] |
jsonUrls
URL address(es) returning JSON.
|
int |
readTimeout
Used for URL connections.
|
boolean |
runtimeCheck
Sets global runtime check setting (true / false).
|
java.lang.String[] |
value
Paths to file(s) containing 'key=value' pairs.
|
public abstract java.lang.String[] value
public abstract java.lang.String[] jsonPropertyFilePaths
public abstract java.lang.String[] jsonFiles
public abstract java.lang.String[] jsonUrls
public abstract java.lang.String[] jsonMembers
This is a special case, only makes sense when there is a large JSON which we want to preload.
They must be in the same class as the @ConfiguratorSetup annotation.
Class members are put in the internal storage with a key: 'fullyQualifiedClassName.fieldOrMethodName', they must be accessed by using this key:
@ConfigJson(property = 'fullyQualifiedClassName.fieldOrMethodName')
public abstract boolean runtimeCheck
May be overridden locally by @Conifg, @ConifgTyped, and @ConifgJson annotations.
runtimeCheck true makes every injection to be reloaded, false first tries to get a value from the internal storage and then tries to load if it is not available there.


{% extends 'flask_user/emails/eproms_base_message.html' %} {% block message %}
Your password has been changed.
{% if user_manager.enable_forgot_password %} {% if user.organizations.count() == 1 %}If you did not initiate this password change, please click here to reset it, or contact your representative at {{ user.organizations.first().name }}.
{% else %}If you did not initiate this password change, please click here to reset it, or contact your representative at {{ app_name }}.
{% endif %} {% else %} {% if user.organizations.count() == 1 %}If you did not initiate this password change, please contact your representative at {{ user.organizations.first().name }}.
{% else %}If you did not initiate this password change, please contact your representative at {{ app_name }}.
{% endif %} {% endif %} {% endblock %}


Tip: Open it in a new tab (middle mouse button or right mouse button -> 'open in new tab' on the link above)
| Well | Mean Outside Growth | Median Outside Growth | STD Outside Growth | Mean Inside Growth | Median Inside Growth | STD Inside Growth | Image Count | |
|---|---|---|---|---|---|---|---|---|
| {{ well }} | {% else %}{{ well }} | {% endif %}{{ data.outside_growth.mean }} | {{ data.outside_growth.median }} | {{ data.outside_growth.sd }} | {{ data.inside_growth.mean }} | {{ data.inside_growth.median }} | {{ data.inside_growth.sd }} | {{ data.image.n }} |
| Name | Wells | Time Points | Status |
|---|---|---|---|
| {{ treatment.name }} | {{ treatment.num_wells }} | {{ treatment.time_points }} | {{ errors[treatment.name] }} |
Analysis run on: {{ datetime }}
Log


| DOSE: T+ 0:00 |
15 g |
oral |
Amanitas |
(dried) |
| T+ 0:15 |
10 g |
oral |
Mushrooms |
(fresh) |
| T+ 0:00 |
repeated |
smoked |
Cannabis |
(plant material) |
I and three other friends planned to trip on magic mushrooms. We decided to trip indoors because one of the guys had never experienced anything other than pot before. The same day someone offered me fly agaric I decided to have a go even though I knew some of the dangers concerned with it. I ingested about 15 grams (dry) fly agaric. After 15 min. no affect was felt and I decided to ingest 10 grams colombian magic mushrooms (fresh). I was really curious about mixing muscimol, ibotenic acid found in fly agaric and psilocybin found in the colombians.
30 min. have passed and I start to feel “weightless”. One hour has passed and I am starting to trip intensely. The visuals I was getting where like never seen before, and I have experience with up to 80 grams of fresh colombian mushrooms.  At this point talking to others was getting harder. The interesting thing was that my other three mates took only colombian shrooms and they all seemed to `understand` each other. After about 10 min. I felt the urge to push myself even further away and decided to smoke pot.
We sparked up a joint and everyone took a fair amount of tokes. I started having intense hallucinations. Walls where bending forward and backwards like jelly, small objects appeared big and others constantly changed shapes. It felt like a door in my mind has just opened and I started thinking about my life and personal issues while the others were having a bit of conversation. I started feeling mild nausea and cold sweating especially on my palms. I felt a wonderful joy when smoking tobacco. I could feel the smoke entering my lungs like my whole body became very sensitive to it. A 2c-b like feeling of euphoria and nervousness kicked in. The others decided to smoke 2 more joints and again, I took my fair amount of tokes.
 The last two joints have pushed the hallucinations to pure madness and weirdness. One of my friends turns off the lights and puts on some nice psychedelic trance with winamp visualizations on the computer screen. Objects are changing proportions and behaviour. Some melt away with others. It was very interesting that for example a wooden chair will just blend and in a way melt in with a wooden table.
I can hardly communicate with my friends. I am lying in the bed just looking around in the room. Because of the nausea and the cold sweat I started having these muscle spasms, like my legs and arms would just twitch. I covered myself with a blanket. The first timer starts to panic and he is saying that there is no point in life.  I try to calm him down and explain that the `ego death` experience is normal but I just can’t seem to get even a word right. The words coming out of my mouth sound really weird. Some stretch and sound longer, some are louder and some have very low/high pitch. I decide that I can’t help my friend and leave it to the others.
About three hours have passed and I am totally out of this world. I can hardly recognise my friends. Their faces are expanding like air balloons, some being hilarious and some being scary. I felt the dream state taking over my mind and even crazier hallucinations appeared. The winamp visualizations where coming out of the screen and just moving in front of my face. I could see them on the walls and the floor, like I was in the middle of them. It felt like I can smell the different colors. Nothing made sense. Objects were talking to me. Voices were having conversations in my mind and I was just listening to them.
I was reborn in a new world. I felt really secure in the spot I was tripping, covered with a blanket. It was like my castle and as long as I was there the trip was gonna be a good one. I light up a cigarette and look at it. It is bending, my arm is bending. When I touched my face it felt like it wasn’t mine. About 3 hours and a half have passed since ingesting. It feels like a decade. I have analysed thousands of questions about myself as a person. My mind starts to feel separated from my body. I felt like I was in the room but above my body and I was looking at myself from a weird point of view. I could feel the connection between my body and my mind like never before.
Thoughts are flowing through my brain like water through a fountain. Slowly my mind starts looping on the question “Who am I?”. I can feel the trip going bad and try my best to relax and calm down but find it really hard. I feel like I don’t know myself, I feel like a stranger to my mind. I know this sounds really weird but there is no way to express it with words, it really has to be experienced mentally. I have lost track of time but positively got past the loop stage. I feel like I just let myself go off a cliff edge but instead of falling down into a black hole, I fall into a new world. I am trying to communicate with the others. Gibberish is coming out of my mouth, like I can’t control it. I try to share my experience with others but feel that I am on a very different level to them. I felt like the doors of the universe were open to me and all the knowledge in it was available to my mind.
The hallucinations are still very strong and I can’t feel my body. All I can feel is my mind, like my mind is a living thing. I felt godlike, so strong and so secure. The funny thing is that the better I felt the more evil thought got into me. Like I could feel the mad rage build up in me. I burst out laughing. I can feel the evil in my laughs and I can’t control them. I tried to focus on things like love and friendship which really helped me to stay calm and not think about violence. After about 7 hours the most of the effect worn off and I `returned` to my physical body. Now I was able to feel my flesh and it felt damn good to be back and alive. My brain was tired and I was feeling sleepy and exhausted. After a good night sleep I woke up and gave some thought about the experience. I could feel a lot of positive energy like and my mood was more than excellent.
I have to say this trip took me out of this world and showed me just a glimpse of what lies behind the universe. It made me realise a lot of things about life. It showed me I lived well so far and it was worth it. Even if I died on the spot, I shall die happy and with no regrets. There were also a lot of spiritual thoughts about it. In general I felt connected to life. When the trip ended and I was back to normal I felt like I have just returned from a journey beyond this world. It made me see that life is not just about our daily schedules. It also brought up memories from my childhood. Memories that I have never recalled before. It made me feel alive and ready for new adventures in my life.
Will I do it again? For now I don’t think it will be a wise idea to open any new doors. I feel that I saw a lot and I need some time before all the ideas sink inside my mind.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Music has thoroughly evolved in the past decades and so did its industry. Genres appeared as well as
new numerous labels that changed the music landscape. New technologies also changed the way music is
consumed, both in the music support (numeric, MP3 …) and in the way it can be shared and discovered.
To grasp at the importance of the music industry, let us say that last year, it was worth 20
billion $ only in the U.S. Although online platforms such as Spotify are on the rise, records
more popular
each year, with a +14% increase in 2018 for vinyls in the U.S. Discogs is the number 1
online worldwide records selling platform.
If you wish to know more about the technical details of our work, check our Github repo here.
We chose to use Discogs as our Dataset for the project.
Discogs.com is an online records marketplace. It acts as a place for music collectors to buy/sell
records, as well as track the evolution of the prices of releases they consider acquiring. Discogs
is a social network as well, and users can connect to each other and share the list of their
favorite records.
A useful feature of Discogs is its API along with a Python plugin that allows to easily browse and
gather information about records, artists and labels from the database. Our aim is to download the
latest data files (XML format) to create the skeleton of our dataset and then enrich it using
the
API or web-scraping to gather more relevant informations.
A simple exploration of our dataset gives us the number of Master releases each year. Each record in the Discogs database is represented by a unique Master, but can actually be attached to several Release entities. Each Release for a record is a commercially distributed copy of the record. It corresponds to a year of release, a country in which it has been released, a physical support and a label. If we take for instance, the fan-favorite classic Led Zeppelin I record : it is associated to one Master entity, but 603 different Releases in vinyl, compact disc or cassette over several labels and reissues.
The number of Master released per year is linearly increasing starting in the 1950s.
This evolution is indeed the actual evolution of the number of records that were released each
year. The music industry is in good shape as we see that the increase of record production isn't
about to stop !
The number of Releases per Master is also increasing in the 1960s, with a downward trend during the
1990s. The average number of Releases per Master is obtained by counting the number of Releases
for each Master each year, and dividing by the total number of Masters in this year. This
evolution show a bump starting in the 1960s until the beginning of the 1980s. Two factors explain
this :
TODO
From the 50s, the post-World War II economic expansion had a huge impact on consumerism,
especially in the U.S. Goods and services were created deliberately for young people as spending
power skyrocketted. The access of music through the democratisation of vinyl created a huge
expansion of the newborn music industry. We can hypothesize that the dip in the 70s comes
respectively from the oil crash in 1973 and the energy crisis in 1979. These events led to a period
of recession, affecting all the markets, including the music one. One could argue that the second
dip in the 2000s was caused by the internet as music piracy exploded (the famous peer-to-peer
website Nasper was launched in 1999) leading to a decline in CD sales, thus again affecting the
industry. Surely, the financial crash of 2008 did not help. The huge peak in the recent years
could be the development of many streaming platforms - as increasing internet data rates allowed
continous streaming of media - democratizing even more various artists.
Notwithstanding this last point, we can distinguish a certain form of exhausation (i.e. if we
compare this market with the demographic expansion) maybe caused by a saturation of various artists
led by the streaming revolution.
To corroborate what we just said above, let's have a look at the evolution of records formats from the 1950s. As expected, the vinyl had a golden age until the beginning of the 1990s, its death mainly caused by the arrival of the CD. But WOW, we just said that the CD appeared in 1982, and we see that we have data for CD records even in the 1950s. Impressive. Let's stop joking : the CD Releases are attached to their Master. That is, if a record released in 1968, for instance Led Zeppelin I was to be released in CD during the 1980s, it would still appear as a released in 1968 in the database, as it is the year its corresponding Master was released.
Blablabla main genres
Blablabla closer analysis
Blablabla wow such interface much interactive
blablabla wow labels


Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
This is an open source cheat sheet for GIT and the most common and used (personal opinion) GIT features. My references are from experiences or from the Tower Git Cheat Sheet. If you feel something should be added, feel free to make a pull request or e-mail me.
I use GIT as a version control and as a 'Flash drive' so to speak. I like to 'pull' my code from GitHub, the cloud on to my laptop when I'm traveling. Once I'm doing with some edits, I 'push' my code back to the GitHub and 'pull' my edited code to my desktop when I get back home.
GIT/GitHub is also popular to share projects with others, people can 'fork' a copy of your code. They can make their own version of your code or can make edits and make a 'pull request' to your master version of your code.
Core Topics Covered
- Create
- Local Changes
- Update and Publish
- Merge and Rebase
- Branches and Tags
- Commit History
- Undo
- Best Pratices
Clone an existing repository
By getting the url from a created repository in GitHub, Enter in the following:
git clone <repository_url>
Create a new local repository
To create source control for a local copy and a GitHub repository, you need to initalize the Git settings for the directory.
Change directories to the folder you want source control for. Enter in the following:
git init
Changed files in your working directory
git status
Changes to tracked files
git diff
Show a log of changes to the local repository’s HEAD, good for finding lost work
git reflog
Add all current changes to the next commit
git add -A
Add all files in the directory to the next commit
git add .
Add some changes in <file> to the next commit
git add -p <file>
Commit all local changes in tracked files
git commit -a
Commit perviously staged changes
git commit
Combines the add and commit commands into one.
git commit --am
Delete untracked files in the local working directory
git clean -n
Change the last commit
git commit --amend
List all currently configured remotes
git remote
Show information about a remote
git remote show
Show all remotes
git remote -v
Add new remote repository, named <remote_name>
git remote add <remote_name> <repository_url>
Download all changes from <remote_name> but don't integrate into HEAD
git fetch <remote_name>
Download changes and directly merge/integrate into HEAD
git pull <remote_name> <branch_name>
Publish local changes on a remote
git push <remote_name> <branch_name>
Delete a branch on the remote
git branch -dr <remote_name>/<branch_name>
Publish your tages
git push --tags
Merge <branch_name> into your current HEAD
git merge <branch_name>
Rebase your current HEAD onto <branch_name>
git rebase <branch_name>
Abort a rebase
git rebase --abort
Continue a rebase after resolving conflicts
git rebase --continue
Use your configured merge tool to solve conflicts
git mergetool
Use your editor to manually solve conflicts and (after resolving) mark file as resolved
git add <resolved_file>
git rm <resolved_file>
List all existing branches
git branch -av
Switch HEAD branch
git checkout <branch_name>
Create a new branch based on your current HEAD
git branch <new_branch>
Create and checkout new branch
git checkout -b <new_branch>
Create a new tracking branch based on a remote branch
git checkout --track <remote_name/branch_name>
Delete a local branch
git branch -d <branch_name>
Mark the current commit with a tag
git tag <tag_name>
Show all commits, starting with newest
git log
Show changes over time for a specific file
git log -p <file>
Who changed what and when in <file>
git blame <file>
Discard all local changes in your working directory
git reset --hard HEAD
Discard local changes in a specific file
git checkout HEAD <file>
Reverta commit (by producing a new commit with contrary changes)
git revert <commit>
Reset your HEAD pointer to a previous commit and discard all changes since then
git reset --hard <commit>
Reset your HEAD pointer to a previous commit and preserve all changes as unstaged changes
git reset <commit>
Reset your HEAD pointer to a previous commit and preserve uncommitted local changes
git reset --keep <commit>
Commit Related Changes
A commit should be a wrapper for related changes. For example, fixing two different bugs should produce two separate commits. Small commits make it easier for other developers to understand the changes and roll them back if something went wrong.
With tools like the staging area and the ability to stage only parts of a file, Git makes it easy to create very granular commits.
 Test it thoroughly to make sure it really is completed and has no side effects (as far as one can tell). While committing half-baked things in your local repository only requires you to forgive yourself, having your code tested is even more important when it comes to pushing/sharing your code with others.
Use Branches
Branching is one of Git’s more powerful features – and this is not by accident: quick and easy branching was a central requirement from day one. Branches are the perfect tool to help you avoid mixing up different lines of development. You should use branches extensively in your development workflows: for new features, bug fixes, ideas etc.
Commit often
Coming often keeps your commits small and again helps you commit only related changes. Moreover, it allows you to share your code more frequently with others. That way it’s easier for everyone to integrate changes regularly and avoid having merge conflicts. Having few large commits and sharing them rarely, in contrast, makes it hard to solve conflicts.
Version control is not a backup system
Having your files backup on a remote server is a nice side effect of having a version control system. But you should not use your VCS like it was a backup system. When doing version control, you should pay attention to committing semantically (see ≪related changes≫) – you shouldn’t just cram in files.
Agree on a workflow
Git lets you pick from a lot of different flows: long-running branches, topic branches, merge or rebase, git flow… Which one you choose depends on a couple of factors: your project, your overall development and deployment workflow and (maybe most importantly) on your and your teammates’ personal preferences. However you choose to work, just make sure to agree on a common workflow that everyone follows.
Do not commit half-done work
You should only commit code when it’s completed. This doesn’t mean you have to complete a while large feature before committing. Quite the contrary: split the feature’s implementation into logical chunks and remember to commit early and often. But don’t commit just to have something in the repository before leaving the office at the end of the day. If you’re tempted to commit just because you need a clean working copy (to check out a branch, pull changes, etc.) consider using Git’s <Stash> feature instead.
Write good commit messages
Begin your message with a short summary of your changes (up to 50 characters as a guideline). Separate it from the following body by including a blank line. The body of your message should provide detailed answers to the following questions
- What was the motivation for the change?
- How does it differ from the previous implementation?
Use the imperative, present tense (change not changed or changes) to be considered with generated messages from commands like git merge.
Help Documentation
Get help on the command line
git help <command>


Skateboards!
Vacuum Forming and Lamination is the title of this rotation because we made skateboards from scratch! We first glued six different wood boards together and used the technique called vacuum bagging.  Here is what it looked like:
After the glue was dry, we had the a skatebaord!
We were able to round the edges and design the boards
how we would like. I spray painted one side, and
put an American Flag sticker on the other.
Here is what it looked like:


Rashan Le Liya?
But What about them?Just looking outside my window, I see distressed,hunger stricken , daily earners, rickshawallas and safaai walas waiting for some miracle to happen. They do not have any means to buy food, or even if they had means , do not have the medium as most grocery stores in their area are out of stock!
People with MEANS and INTENT can both come forward!
Please identify people who need rations using the button
People Need Help
If you want to contribute, please click on the Donate button and help the needy people out.
Donate


Extraction Tool
What it does:
This app was made for extracting documents from a CMIS compliant repository. It is not intended to be used for browsing or searching content in a CMIS compliant repository (your vendor probably have given you a very good interface for that). It is adressed for ECM administrators in need for some particularities, specifically for downloading content from repository.
Since it has been created based on an IBM's FileNet repository, some concepts like "document classes" may not be applied to repositories from other vendors.
Usually ECM systems index files by metadata so, the oringal file name itself is, most of the time, not relevant. If or better, when, you have to extract a massive quantit of files, you'll probaly have some difficulties to identify the downloaded documet since it has been downloaded with it's original name and no metadata. Other commum problem is to have different files with the very same name.
So, with this tool, will be possible to download files, passing it's GUID, and choose which metada will be used to form it's name after download finishes. The GUID can be obtainned a content browsing software like IBM' Content Navigator or directly from database.
Basic Usage:
At the first login, will be requested to add a connection to the CMIS compliant server. Consult your CMIS compliant vendor or documentation for this address.
After correctly setting server(s) configuration(s), will be possible to inspect the document classes from IBM's FileNet or the object types underneath the repository's root.
Specify a Repository's user and password
This tool then, will inspect and return the properties associated with the selected document class.
Choose the properties you want by holding "CTRL + MOUSE CLICK". Do not select with "CTRL + A" or "SHIT + MOUSE CLICK".
Paste as many copied GUIDs you've got. The GUIDs must be each in it's own row in the text area field. Obviously the document must belong to the previously chosen Document Class.
Click the "Download" button.
The "Back" button, allows you to make a new search
To select a different user, click the "Logout" button
Changing server configuration:
Whenever you need to save a new server configuration, just go: Home > Add New Server
To delete any server configuration, in: Home > Add New Server , click the server's name.
Dependencies:
Final Information:
Every time I had to export a huge amount of documents from IBM's FileNet, I just had to keep changing and updating a script I've made. Anytime I had to do it, I felt frusturated, since I was always just "reworking", and not "creating" anything new. So with this tool, I just don't need to update that old script over and over again, which saves me time, and allows me to ask a colleague to do this job if I'm busy with something else.
Since this is such a especific need I had, I really don't know if this can be usefull to anyone else. But since we're not alone and this is a really big world, I just hope it can be usefull to someone else ...........
Please let me know !!!


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Total hack. Feel free to replace with a better solution. }}
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Formula{{#if contextText}} (in context of {{contextText}}){{/if}}:
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{{! Quick and dirty display of the error before saving.
TODO: Distinguish between parse and typecheck errors, have parse
errors block saving, and show the error position. The full formula
builder will eventually supersede this. }}
{{newFormulaInfo.error}}
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{{#if isFormulaDebuggerOpen}}
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--- permalink: / title: Pyroon description: Pyroon is an interactive visualisation of Reddit's switch-a-roos. View the links across subreddits dating back years. --- {% assign site_image = site.url | append: '/assets/images/og-image.png' %} {% assign scripts_url = site.url | append: '/assets/scripts' %} {% capture splash_styles %} {% include splash.scss %} {% endcapture %}
Loading Assets
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Rendering Roos (Your browser might briefly freeze)
Finishing Up


--- layout: conference title: "Conference Programme" permalink: "/conference/2022/program/" tag: MEC2022 id: program ---
A detailed Conference Programme will be made available shortly.
Programme Overview:
| May 19, 2022 | May 20, 2022 | May 21, 2022 | May 22, 2022 |
|---|---|---|---|
| Workshops and Tutorials | Conference (Day 1) |
Conference (Day 2) | Unconference, Research and Interest Group Meetings |


class: center, middle # Game Testing History --- # Agenda * Look at the different decades * Discuss the crash --- # Basic Game Testing History --- # 1970s * Games has not ROM just switchs to tell CPU what game to play * The person/developer who developed the game tested their game on their own time * No real testing team * In 1974, an Altair 8880 with 4 KB RAM cost $338
--- # 1980s * in early 80s, games were the next big thing, games were growing at a rate of 50% per year * Low quality, bad products * Sales and stock prices dwindled * Period called 'Video Game Crash of 1983' * Teams of zero testers evolved into 3 person teams .center[![Pac Man](https://upload.wikimedia.org/wikipedia/en/thumb/5/59/Pac-man.png/220px-Pac-man.png)] --- # Video Game Crash of 1983 ## ["Video Game Crash of 1983"](https://www.youtube.com/watch?v=kv7DJrLAZus) --- # 1990s * Sega, Nintendo, then Sony Playstation brought longer game play, with levels * Increased quality and content expectations of games * More testers and testing time needed .center[![Nintendo vs Sega](https://infographixdirectory.com/wp-content/uploads/2012/07/nintendo-vs-sega-logo-infographic-600.jpg)] --- # 2000s * The power of the computers was brought to the game console (PS2, XBOX) * Open world, free roaming games * Testing consoles became very complex * Online game play * Complicated loading and saving .center[![XBOX](https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Xbox-console.jpg/1200px-Xbox-console.jpg)] --- # 2010s * More processing doesn't solve the problems and limits of the systems * Larger games means more testing * Focus on copying features and functionality * Backend vs Frontend * Scaling for networks * Cross platform --- # 2020s ## Certainly interesting to see where we go from here --- # Game Testing Complexity Game | Year | Dev Team | Test Team ---- | ---- | -------- | --------- Golden Ax 2 | 1991 | 16 | 6 Donkey Kong Country | 1994 | 40+ | 9 Sonic 3 | 1994 | 90+ | 41 Comix Zone | 1995 | 40 | 19


Kava Kava, St. John's Wort & Nutmeg
im a regular user of drugs and i've always experimented with diffenet things and i have figured out some drug stacks that work pretty good i just wanted to let some others know so im emailing them to you, here they are:
Natural Test Experiment.
Two test subjects with full stomaches.
Stack consists of:
generic metabolifes, Kava Kava', St John's Wart, . and nutmeg.
Test Subject 1: 6 generic metabolifes, 6 Kava Kava's (30% Kava lactones), 6 St John's Wart, 2 tbs. of nutmeg.
this stack basically i found and others who took it basically last about 10hrs and about 3 hrs of peaking,
Postive effects: it makes you feel happy, in a good mood, motivated to have progress in what ever you do, extreme alertness, raises your confidence, and overall give u a content feeling...
Netitive effects that may occur: Heart beats fast, inability to sleep, possably stomache ache...
Here is another, i consider this stack to have better effects than most all drugs!
Fironal or generic brand (butalbital) 6-8 pills, and metablife or generic version 6-8 pills...
These two need to be togeather in order to work good.. its last about 4-5 hrs
This stack gave me and others who tried it the following:
Positive: Extremely confident in what ever you do, great mood, very happy, open to do anything ( you may find yourself talking to everyone you see ), give the body a relaxed feeling.
Negitives that may occur: nose may be run, have to urine frequently, depression after coming down, also firional is very addictive...
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


stonktastic.machinelearning package¶
Submodules¶
stonktastic.machinelearning.historicalPred module¶
-
stonktastic.machinelearning.historicalPred.
memHistory
()¶ Goes through and calculates what the model would have predicted for every trade day in the last seven years
- Results:
Updated SQL database with a prediction for each day in the last seven years.
-
stonktastic.machinelearning.historicalPred.
polyRegHistory
()¶ Goes through and calculates what the model would have predicted for every trade day in the last seven years
- Results:
Updated SQL database with a prediction for each day in the last seven years.
-
stonktastic.machinelearning.historicalPred.
ranForHistory
()¶ Goes through and calculates what the model would have predicted for every trade day in the last seven years
- Results:
Updated SQL database with a prediction for each day in the last seven years.
-
stonktastic.machinelearning.historicalPred.
runHistory
()¶ Runs each of the models through history.
stonktastic.machinelearning.overallEval module¶
-
stonktastic.machinelearning.overallEval.
overallEval
()¶ Runs the overall stock functions. Estimates yearly gain using each model for each stock, the average gain per stock, then ranks each stock based on gains.
-
stonktastic.machinelearning.overallEval.
preformOverallEvalCalculations
(estimates)¶ Here we generate find the “best model” in terms of profit and save off the yearly profit for each model per stock
- Parameters
estimates (list) – A list containing dict/key pairs of {stock ticker : dataframe}
in estimates (dataframe) – Contains Close, Date, polyPred, memPred, ranPred for each day in the last year
- Results:
Updated Calculations Registry table
-
stonktastic.machinelearning.overallEval.
rankStocks
()¶ Pulls the yearly profits for each stock and provides them a tiered rank
-
stonktastic.machinelearning.overallEval.
simulateYear
(df, modelType)¶ This function simulates a year of buying/selling stocks by looking at the predicted value for the next day and either buying/selling all of thier stock/money if the value is higher/lower than it is currently. This is not a fine tune system of measuring accuracy, its just to get an estimate on the potential gain of this stock using each algorithum.
- Parameters
df (dataframe) – Dataframe with the date, close value, and each day’s predicted value for each model.
modelType (str) – Which algorithum’s prediction capability we are using for this simulation
- Returns
float: The yearly percentage gains
stonktastic.machinelearning.polyReg module¶
-
stonktastic.machinelearning.polyReg.
polyRegMain
()¶ Cycles for every stock in the project, this function prepares the data for the model using the configuration listed in the configuration.csv file
Results:
Saves off the model to the model folder for later usage.
Records the R^2 value of the model to the Calculations Registry table.
-
stonktastic.machinelearning.polyReg.
runPolyReg
(xValueList, yValueList, degrees)¶ Preforms Polynomial Regression based on the arguments provided.
Note that we split the data by the First 80 percent of the data and then the Last 20 percent of the data, rather than randomly splitting the data by 80/20 for the Train/Test split.
- Parameters
xValueList (list of floats) – List of X values used for polynomial regression. Offset 1 day earlier than the y values so we have something to predict. Prepared by prepDataSets. Can change based on the values in saved in the configuration file.
yValueList (list of floats) – Close values tied to the X value list for the following day.
degrees (int) – Level of degress the polynomial will be operating at.
- Returns
model: The actual machine Learning model. float: the R^2 score for the model.
stonktastic.machinelearning.prepDataSets module¶
-
stonktastic.machinelearning.prepDataSets.
prepareMemoryData
(stonk, columnValues)¶ Prepares the data for LTSM based on the stock ticker and the indicator values passed. First it pulls from the SQL database before procesing the data and loading it into two sepearte dataframes for the X and Y values.
- Parameters
stonk (str) – stock ticker value
columnValues (list) – List of strings that contain the desired indicator values to be prepared for this data set.
- Returns
xValueList (dataframe): Dataframe with the X values based on the Date, Close and column values xValueList (dataframe): Dataframe with the Y values based on Close value offset one day in the future relative to the X values date (list) : A list of date values connected to the other two dataframes
-
stonktastic.machinelearning.prepDataSets.
preparePolyRegData
(stonk, columnValues)¶ Prepares the data for Polynomial Regression based on the stock ticker and the indicator values passed. First it pulls from the SQL database before procesing the data and loading it into two sepearte dataframes for the X and Y values.
- Parameters
stonk (str) – stock ticker value
columnValues (list) – List of strings that contain the desired indicator values to be prepared for this data set.
- Returns
xValueList (dataframe): Dataframe with the X values based on the Date, Close and column values xValueList (dataframe): Dataframe with the Y values based on Close value offset one day in the future relative to the X values date (list) : A list of date values connected to the other two dataframes
-
stonktastic.machinelearning.prepDataSets.
prepareRanForData
(stonk, columnValues)¶ Prepares the data for Randome Forest based on the stock ticker and the indicator values passed. First it pulls from the SQL database before procesing the data and loading it into two sepearte dataframes for the X and Y values.
- Parameters
stonk (str) – stock ticker value
columnValues (list) – List of strings that contain the desired indicator values to be prepared for this data set.
- Returns
xValueList (dataframe): Dataframe with the X values based on the Date, Close and column values xValueList (dataframe): Dataframe with the Y values based on Close value offset one day in the future relative to the X values date (list) : A list of date values connected to the other two dataframes
stonktastic.machinelearning.ranForest module¶
-
stonktastic.machinelearning.ranForest.
ranForMain
()¶ Cycles for every stock in the project, this function prepares the data for the model using the configuration listed in the configuration.csv file
Results:
Saves off the model to the model folder for later usage.
Records the R^2 value of the model to the Calculations Registry table.
-
stonktastic.machinelearning.ranForest.
runRandomForest
(xValueList, yValueList, estimators)¶ Preforms Random Forest based on the arguments provided.
- Parameters
xValueList (list of floats) – List of X values used for random forest. Offset 1 day earlier than the y values so we have something to predict. Prepared by prepDataSets. Can change based on the values in saved in the configuration file.
yValueList (list of floats) – Close values tied to the X value list for the following day.
estimators (int) – Number of Decision Trees to be used in the calculation
- Returns
model: The actual machine Learning model. float: the R^2 score for the model. (the default value for the score function is R^2)
stonktastic.machinelearning.memory module¶
test
-
stonktastic.machinelearning.memory.
memoryMain
()¶ Cycles for every stock in the project, this function prepares the data for the model using the configuration listed in the configuration.csv file
Results:
Saves off the model to the model folder for later usage.
Records the R^2 value of the model to the Calculations Registry table.
-
stonktastic.machinelearning.memory.
runMemory
(X, y, date)¶ test
-
stonktastic.machinelearning.memory.
standardizeResults
(value)¶ Preforms Polynomial Regression based on the arguments provided.
Note that we split the data by the First 80 percent of the data and then the Last 20 percent of the data, rather than randomly splitting the data by 80/20 for the Train/Test split.
- Parameters
xValueList (list of floats) – List of X values used for polynomial regression. Offset 1 day earlier than the y values so we have something to predict. Prepared by prepDataSets. Can change based on the values in saved in the configuration file.
yValueList (list of floats) – Close values tied to the X value list for the following day.
degrees (int) – Level of degress the polynomial will be operating at.
- Returns
model: The actual machine Learning model. float: the R^2 score for the model.
Module contents¶
There are three major groups of code imported here.
Those that directly run the machine learning code
Machine Learning Code - polyReg: Runs Polynomial Regression.
memory : Runs Long Term - Short Term Memory Neural Network.
ranForest : Runs Random Forest.
Preparing Machine Learning Code - prepDataSets : Which prepares the datasets to be run based on the values provided.
Post Processing - historicalPred : Uses the machine learning models to preform historical predictions for reference and graphing.
overallEval : Preforms an analysis on each stock and ranks them against one another.


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AMATEUR A film review by Christopher Null Copyright 1995 Christopher Null
Hal Hartley's latest film, AMATEUR, is quite a departure from his earlier work.  Hartley's favorite male lead, Martin Donovan, remains as Thomas, the slimeball husband of Sofia.
The plot is this: Sofia is fed up with Thomas, so she tries to kill him. He doesn't die--he just cracks his head and develops amnesia. Isabelle finds him and takes him under her already fragile wing. Throw in an extortion plot wherein the old Thomas was trying to blackmail a nameless entity, and add the thugs trying to kill him. Eventually, everyone gets sucked into this scheme, and nothing works out for any of them.
Why AMATEUR? Well, all the principals are new at something: Isabelle is new at the porn game and a virgin to boot. Sofia is new at trying to extort money from someone. Thomas is new to life in general. Clever, right?
Well.... The problem is that the plot is revealed so cryptically and moves so slowly that it renders the movie stagnant. It's difficult to follow, and the characters drone on and on at each other, philosophizing at length, about what, I can't even remember. The action/comedy sequences are superb, but there just aren't enough of them to carry the film. The end result is that AMATEUR is a fabulous story that's told rather badly.
At least the acting is on target, and the story is original. And some of the film's scenes, especially the ones involving the two thugs, Thomas's old partner, and his torture and revenge, are so bright as to dim the rest of the movie.
Hartley's characteristic oddball-ness is here, all right, but the fresh and funny approach to the way we live our lives is absent. AMATEUR could have been an action-driven comedy instead of a sloppy narrative; Hartley made a "deep" and tragic movie about big-time people. Whereas a movie like TRUST, a film about lower-middle class twenty-somethings, was a comedic riot. Hal, I hope you return to your old ways.
And I miss Adrienne, too.
RATING: ***
+---------------------------------------+ |* Unquestionably awful | |** Sub-par on many levels | |*** Average quality, hits and misses | |**** Good, memorable film | |***** Perfection |
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


|
Netsuite 2016_1
|
Data Fields | |
| const | _10days = "_10days" |
| const | _120days = "_120days" |
| const | _1day = "_1day" |
| const | _30days = "_30days" |
| const | _3days = "_3days" |
| const | _5days = "_5days" |
| const | _60days = "_60days" |
| const | _7days = "_7days" |
| const | _90days = "_90days" |
| const | _goodUntilCancelled = "_goodUntilCancelled" |
Static Public Attributes | |
| static | $paramtypesmap |
|
static |
| const _10days = "_10days" |
| const _120days = "_120days" |
| const _1day = "_1day" |
| const _30days = "_30days" |
| const _3days = "_3days" |
| const _5days = "_5days" |
| const _60days = "_60days" |
| const _7days = "_7days" |
| const _90days = "_90days" |
| const _goodUntilCancelled = "_goodUntilCancelled" |


Dillon Forde
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Independent report
The government response to Darren Henley's review of cultural education in England
Document providing the government’s immediate responses to the recommendations made in Darren Henley's review of cultural education.
Documents
Ref:
DFE-00020-2012
PDF
,
356KB
,
12 pages
Details
In 2011 the government asked Darren Henley to carry out a review of cultural education in order to realise the ambition for every child to have the chance to experience a wide variety of high quality cultural experiences. This document sets out the government’s immediate responses to the recommendations made in the review.
The Department for Education is committing £15 million until 2015 to support initiatives that will inspire children and young people and schools to take part in cultural activities to enrich their learning and play their part in helping the cultural arts industries to continue to flourish.


Wisconsin Linebacker Has A Message For Minnesota
by Alek ArendWisconsin and Minnesota are gearing up for a massive Big Ten contest next Saturday. The winner will claim the Big Ten West Division and play Ohio State in the Big Ten title game. It’s safe to say this will be one of the biggest games of the season.
In last year’s contest between the Badgers and Golden Gophers, Minnesota claimed ‘Paul Bunyan’s Axe’ – the trophy awarded to the game’s winner. PJ Fleck’s team came away with a big 37-15 victory at Camp Randall Stadium. It helped the Golden Gophers claim their sixth win, earning bowl eligibility in the final contest of the regular season.
Next Saturday’s contest between the two teams carries much heavier implications. But Wisconsin hasn’t forgotten about their defeat at the hands of Minnesota in 2018. In fact, Badgers linebacker Chris Orr has revenge on the mind heading into next week’s game.
After Wisconsin’s victory over Purdue on Saturday, Orr had a message for Minnesota: “We’re going to get our axe back.”
Wisconsin is clearly looking forward to facing Minnesota on the road. The Golden Gophers must be careful against a Badgers team seeking revenge. This will be a game to watch next Saturday.
Will the Badgers reclaim Paul Bunyan’s Axe?


Selected Projects
Autonomous Driving Vehicle Control Simulation
The objective of this project is to design a hierarchical statechart for an autonomous driving vehicle to respond to environment events as if there is a human operator sitting in the driver’s seat. Simulink and Stateflow are used to validate the architecture design.
Android Data Preparation Framework using Bezirk
Software engineering practicum project in Bezirk. The goal is to design and develop an Android data preparation framework on top of the Bezirk middleware. It must facilitate data scientists to configure, insert, and remove individual data processing units used for identifying user preferences and interests.
Mobile Application - EasyOrder
The goal of this project is to explore different features between two common mobile platform: Android and iOS. I developed a cross-platform meal ordering application, allowing users to order meals, keep track of the real-time location updates of delivery drivers, and complete payments in a single application
ParGMRES - A Parallel Linear Solver
The goal of project is to explore parallel techniques we learned in the class. We implemented our own general minimal residual algorithm and parallelized it using both OpenMP and CUDA. GMRES is an iterative method to solve linear system Ax = b. Due to its iterative fashion, the algorithm is inherently sequential. What we focus is to parallelize those matrix operations.
Semi-supervised Learning in Image Classification
This project is to improve performance of image classification using unlabeled image data. The dataset is cifar-10 with 5000 labeled images, 45000 unlabeled images, and 10000 images for testing. I tried two methods to solve this problem. The first one is to use Kmeans with spatial pyramid matching while the second one use CNN with self-training approach.
Web Application - CookByYourself
A website that collects recipes from different websites and estimates prices required to make those dishes. Our web server is developed using Django framework with PostgreSQL and deployed on the AWS EC2 machine. Users are able to register an account, comments, and search recipes. Data are collected via Selenium and python BeautifulSoup library.
Real-Time Resource Reservation and Enforcement Framework
We built an energy-aware CPU resource reservation and enforcement framework in Linux kernel. Users can specify timing constraints of a task and register it as a real-time task in our framework. The system will then schedule these tasks based on these constraints while still running other normal tasks maintained by Linux OS at the same time. We also made a android application able to log framework configuration and status of these tasks using android NDK.
KeDiary
A phone-based support system (KeDiary) with Bluetooth-enabled device for the screening of saliva, as a means of assisting ketamine-dependent patients to self-monitor their ketamine use following acute withdrawal treatment.
Deep Learning in Speech Recognition
The project is to build a speech recognition system predicting English sentences from speech data using deep learning techniques. A speech recognition system comprises of two parts: acoustic feature transformation and the language model construction. We used a deep neural network and structured SVM for feature extraction and used LSTM-RNN to rescore the possible output generated by the N-best Viterbi inference algorithm.
BioScope
A flexible bandage-like device that collects physiological data with sensors and visualizes data on an embedded OLED module, which overcomes position constraints exposed by existing wearable devices.
Functionally Reduced And-Inverter Gates Simulator
A circuit optimization tool that reads a circuit representation file and abstracts it as an acyclic graph. We customized the memory allocation of user-defined class by overriding the new and delete operation in C++. Graph traversal approaches like BFS and DFS are used to find unreachable gates and propagate simulation results. Explicit free lists are used to manage available memories.


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Lecture 33
Qi Wang, Department of Statistics
Nov 9, 2018
Variance: based on the difference between each observation and the mean
Standard deviation: most commonly used for measuring how far observation are from the mean
$p_{th}$ percentile: value such that p% of the observation fall at or below it
Example: -20, 1, 23, 25, 32.5, 33, 67


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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description boolean
canMoveTo(Position position)
Checks whether a position on the board can be moved to or attacked/captured.void
moveTo(Position position)
Moves the piece to another Position.java.lang.String
toString()
Returns the character for the piece.-
Methods inherited from class org.theusaf.BattlefieldChess.game.Piece
copySpecific, frontDirectionMultiplier, frontDirectionMultiplier, getCharacter, getPosition, getPossiblePositions, getTeam, isOnBoard, setCharacter, setPosition, setTeam
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Constructor Detail
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Pawn
public Pawn(Board board)
Constructs a Pawn (no position, default team WHITE)- Parameters:
board
- The board the Pawn should be given a position on later
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Pawn
public Pawn(Board board, Position position, GameTeam team)
Constructs a Pawn and places it at the specified position on the specified team.- Parameters:
board
- The board the Pawn is placed onposition
- The Position the Pawn is located atteam
- The team the Pawn is on- See Also:
Piece(Board, Position, GameTeam)
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Method Detail
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moveTo
public void moveTo(Position position)
Moves the piece to another Position.
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canMoveTo
public boolean canMoveTo(Position position)
Checks whether a position on the board can be moved to or attacked/captured.
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toString
public java.lang.String toString()
Returns the character for the piece.- Overrides:
toString
in classjava.lang.Object
- Returns:
- 'P' for 'Pawn'
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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
A meaty open sandwich perfect for an indulgent brunch or light supper. Substitute with other game meats, if you prefer.
To make the mayonnaise, put the egg yolks into a medium bowl with the Dijon mustard and white wine vinegar and whisk together until evenly combined.
Slowly drizzle in the oil, whisking continuously to emulsify the mixture. Once all the oil is added, you should have a thick and glossy mayonnaise. Season with salt and a squeeze of lemon juice.
Put the mayonnaise in a blender or food processor and add the watercress. Pulse until it you have a smooth, green mayonnaise. Season with lemon juice and salt and pepper. Cover and chill until needed.
Place a grouse breast between 2 sheets of cling film and use a meat mallet or rolling pin to lightly bash until flattened. Repeat with the remaining breasts and pat dry.
Put the flour into a shallow bowl and season with salt and pepper. Beat 2 of the eggs with the milk in a second shallow bowl, and place the breadcrumbs in a third shallow bowl. One by one, dip the breasts into the flour to cover completely, patting off the excess. Dip into the eggs and finally in the breadcrumbs, patting the crumbs on well until covered.
Heat a large well-seasoned sauté or frying pan over a medium-high heat and add a 5mm layer of oil. Once hot, add the breasts and fry for 2–3 minutes on each side until golden brown and crispy, cooking in batches, if necessary. As each fillet is cooked, transfer it to kitchen paper and drain well.
Wipe out the pan, return to the heat and add a small amount of oil. Add the black pudding and fry for 1–2 minutes on each side, or until cooked through and lightly crispy. Set aside and keep hot.
Wipe out the pan again, and return to the heat. Add a dash oil to thinly cover the surface. Once hot, crack in the 4 remaining eggs and fry until cooked to your liking.
Meanwhile, toast the sourdough bread on both sides.
To assemble, butter the hot toast and spread with watercress mayonnaise.  Serve immediately with the remaining watercress mayonnaise on the side.