#include <memory_test_helper.hpp>
|
| static const char | NAME [] |
| |
| mesos::internal::tests::MemoryTestHelper::MemoryTestHelper |
( |
| ) |
|
|
inline |
| virtual mesos::internal::tests::MemoryTestHelper::~MemoryTestHelper |
( |
| ) |
|
|
virtual |
| void mesos::internal::tests::MemoryTestHelper::cleanup |
( |
| ) |
|
| virtual int mesos::internal::tests::MemoryTestHelper::execute |
( |
| ) |
|
|
protectedvirtual |
| Try<Nothing> mesos::internal::tests::MemoryTestHelper::increaseRSS |
( |
const Bytes & |
size | ) |
|
| Try<pid_t> mesos::internal::tests::MemoryTestHelper::pid |
( |
| ) |
|
| Try<Nothing> mesos::internal::tests::MemoryTestHelper::spawn |
( |
| ) |
|
| const char mesos::internal::tests::MemoryTestHelper::NAME[] |
|
static |
The documentation for this class was generated from the following file:


Automated feature engineering in the python stack.
TPOT throws the SKLearn kitchen sink at feature engineering.
- Aggregated data.
- Nothing you couldn't build in your own SKLearn pipeline.
- Uses genetic search algorithm.
auto_ml creates new features using deep learning.
- Aggregated data.
- Penultimate layer of ten "best" features from DNN appended to data.
Features Tools takes the most innovative approach.
- Pre-aggregated data!
- Recursively applies SQL style aggregations.
- Binder Notebook.


Michael Cohen, Special Counsel to the Trump Organization since 2007, hand- delivered a sealed proposal to Michael Flynn's office outlining a way for Trump to lift sanctions against Russia. Cohen has connections to Ukraine through his Ukrainan wife and past family business dealings there. He also participated in deals by the Trump Organization in Russia. The FBI counterintelligence is reviewing his links with Russia.
Michael Cohen, Felix Sater and Andrii Artemenko support the plan. Cohen and Sater said they had not spoken to Mr. Trump about the proposal and have no experience in foreign policy. Artemenko said he had received encouragement for his plans from top Putin aides.
Source: New York Times


Architecture Guidelines
2016-04-20
Architecture Guidelines
The architecture of our Android apps is based on the MVP (Model View Presenter) pattern.
-
View (UI layer): this is where Activities, Fragments and other standard Android components live. It's responsible for displaying the data received from the presenters to the user. It also handles user interactions and inputs (click listeners, etc) and triggers the right action in the Presenter if needed.
-
Presenter: presenters subscribe to RxJava Observables provided by the
DataManager
. They are in charge of handling the subscription lifecycle, analysing/modifying the data returned by theDataManager
and calling the appropriate methods in the View in order to display the data. -
Model (Data Layer): this is responsible for retrieving, saving, caching and massaging data. It can communicate with local databases and other data stores as well as with restful APIs or third party SDKs. It is divided in two parts: a group of helpers and a
DataManager
. The number of helpers vary between project and each of them has a very specific function, e.g. talking to an API or saving data inSharedPreferences
. TheDataManager
combines and transforms the outputs from different helpers using Rx operators so it can: 1) provide meaningful data to the Presenter, 2) group actions that will always happen together. This layer also contains the actual model classes that define how the data structure is.
Looking at the diagram from right to left:
-
Helpers (Model): A set of classes, each of them with a very specific responsibility. Their function can range from talking to APIs or a database to implementing some specific business logic. Every project will have different helpers but the most common ones are:
- DatabaseHelper: It handles inserting, updating and retrieving data from a local SQLite database. Its methods return Rx Observables that emit plain java objects (models)
- PreferencesHelper: It saves and gets data from
SharedPreferences
, it can return Observables or plain java objects directly. - Retrofit services : Retrofit interfaces that talk to Restful APIs, each different API will have its own Retrofit service. They return Rx Observables.
-
Data Manager (Model): It's a key part of the architecture. It keeps a reference to every helper class and uses them to satisfy the requests coming from the presenters. Its methods make extensive use of Rx operators to combine, transform or filter the output coming from the helpers in order to generate the desired output ready for the Presenters. It returns observables that emit data models.
-
Presenters: Subscribe to observables provided by the
DataManager
and process the data in order to call the right method in the View. -
Activities, Fragments, ViewGroups (View): Standard Android components that implement a set of methods that the Presenters can call. They also handle user interactions such as clicks and act accordingly by calling the appropriate method in the Presenter. These components also implement framework-related tasks such us managing the Android lifecycle, inflating views, etc.
-
Event Bus: It allows the View components to be notified of certain types of events that happen in the Model. Generally the
DataManager
posts events which can then be subscribed to by Activities and Fragments. The event bus is only used for very specific actions that are not related to only one screen and have a broadcasting nature, e.g. the user has signed out.
License
Copyright 2015 Ribot Ltd.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Category: Android Tagged: Android


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database
- Variable in class configuration.
Configuration.DBMSConfig
DATE
- Static variable in class adapters.MySql.
Mapping
dateToJava(Date)
- Static method in class adapters.MySql.
TypeCast
dateToSql(Calendar)
- Static method in class adapters.MySql.
TypeCast
dateToSql(Attribute)
- Static method in class adapters.MySql.
TypeCast
delete(Hermes)
- Method in class adapters.
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delete(String, Hermes)
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delete(Hermes, Connection)
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delete(Hermes)
- Method in class adapters.MySql.
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delete(String, Hermes)
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delete(Hermes, Connection)
- Method in class adapters.MySql.
MySql
delete(Hermes)
- Static method in class adapters.MySql.
Sql
delete(Hermes, String)
- Static method in class adapters.MySql.
Sql
delete()
- Method in class core.
Associations
delete(Hermes)
- Method in class core.
HasMany
delete(Hermes)
- Method in class core.
HasOne
delete()
- Method in class core.
Hermes
Delete object in database.
delete(String, Class<? extends Hermes>)
- Static method in class core.
Hermes
Delete objects of a class from database with conditions
delete(String)
- Method in class core.
Jointure
delete(Hermes)
- Method in class core.
ManyToMany
delete(Hermes)
- Method in class core.
Transaction
delete(Hermes)
- Static method in class core.
Updater
delete(String, Hermes)
- Static method in class core.
Updater
delete(Hermes, Connection)
- Static method in class core.
Updater
deleteAll(Class<? extends Hermes>)
- Method in class adapters.
Adapter
deleteAll(Class<? extends Hermes>)
- Method in class adapters.MySql.
MySql
deleteAll(Class<? extends Hermes>)
- Static method in class core.
Hermes
Delete all objects of a given class.
deleteAll()
- Method in class core.
Hermes
Instance method .
deleteAll(Class<? extends Hermes>)
- Static method in class core.
Updater
deleteHasMany()
- Method in class core.
Associations
deleteHasOne()
- Method in class core.
Associations
deleteManyToMany()
- Method in class core.
Associations
doubleQuote(String)
- Static method in class adapters.MySql.
Analyzer
driverName
- Variable in class pool.
Pool
driverNameFor(String)
- Method in class pool.
Pool
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My html and memes and pictures are licensed under the ABWHS ("Anyone But West Hollow Staff") public license. please read the license carefully before using my website, services and other material that has been stated as you are bound to this license when you do so. Note that an additional exception to the license is added, forbidding use/redistribution of said content to the students as well, but only when in a 5 mile radius from said "West Hollow Staff" or while holding any sort of "cellular device" with him/her. Note that this license will only be used if the said "West Hollow Staff" try to make me take down my website or interfere with my HTML, memes, and pictures as they are my intellectual property, so no i will not take it down. Otherwise/basically WTFPL applies
If you need a copy of the rest of the license feel free to google it or something.
(c) Xibbit Research


prtClassBumping Bumping (Bootstrap Selection) Classifier
CLASSIFIER = prtClassBumping returns a Bumping classifier
CLASSIFIER = prtClassBumping(PROPERTY1, VALUE1, ...) constructs a
prtClassBumping object CLASSIFIER with properties as specified by
PROPERTY/VALUE pairs.
A prtClassBumping object inherits all properties from the abstract class
prtClass. In addition is has the following properties:
baseClassifier - The base classifier to be re-trained with bootstrap
samples
nBags - The number of bagging samples to use
includeOriginalDataClassifier - Boolean value specifying whether to
include a classifier trained with
all the available data (not a
bootstrap sample) in comparison.
Defaults to "false" since training
with all the available data can
result in over-training.
After training, a Bump classifier contains a field "Classifier" with the
best trained classification algorithm, and a vector baggedPerformance
with the percent correct found for each bagging sample.
A Bumping classifier is a meta-classifier that chooses one of several
classifiers trained on a bootstrap sampled version of the input training
data. In this case, the classifier chosen is the classifier trained on
the bootstrap sample that results in the smallest percent error when
tested on the original data set. Bumping classifiers can be useful when
the data set under consideration has a small number of significant
outliers; some of the bagging samples will be free of at least some of
the outliers and may provide better generalization performance.
For more information on Bumping classifiers, see:
Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning
Theory.
% Example:
ds = prtDataGenUnimodal;
% add a significant outlier to the data:
ds = ds.setXY(cat(1,ds.getObservations,[-30 -10]),cat(1,ds.getTargets,1));
fld = prtClassFld('internalDecider',prtDecisionBinaryMinPe);
fld = fld.train(ds);
bumpingFld = prtClassBumping('baseClassifier',fld);
bumpingFld = bumpingFld.train(ds);
subplot(2,1,1); plot(fld);
subplot(2,1,2); plot(bumpingFld);


My name is George, I'm from San Francsico and born and raised out here as well. I enjoy going out and making progress with my life.Getting able to travel and being around friends and family that wants to see you succeed is a bonus on why I push myself.I plan on working with wireless microwave communications in the future giving me a chance to go places all across the world working and making a new experience, I plan on doing this once im done with school. I like to think of myself as a person who likes to help others, and taking risks thats hard to over come. I like to read and learn whenever I get the free time. One place I like to go to is the beach to to take my mind off things or just to think. I'm a big sports fan and love to play many sports that keeps me active.


Setting up computing resources
This lecture is based on jupyter notebooks. These jupyter notebooks are class notes, grahic program, simulation and analysis tools in one.
In this lecture you have the choice to run these notebooks on your computer or in the cloud with Google colab. In any case no programming is necessary but encouraged. At the minimum you will have to change some input parameters.
I recommend to install anaconda and let the notebooks run on your computer.
In order to use Google Colab, you must have a Google account. UTK students and employees have an account and can log in with their vol id. Many of you may have a personal Google account, usually set up for things like GMail, YouTube, etc. For your work in this class, it advantageous to use your UTK account. This will facilitate collaboration with your teammates in the course, as well as with course staff.
Google Colab are most tested for Chrome, Firefox, and Safari
You can launch a Colab notebook by simply navigating to https://colab.research.google.com/. Alternatively, you can click a “notebook link” on this webpage and you will launch that notebook in Colab.
Watchouts when using Colab
If you do run a notebook in Colab, you are doing your computing on one of Google’s computers via a virtual machine. You get two CPU cores and 12 GB of RAM. You can also get GPUs and TPUs (Google’s tensor processing units). The computing resources should be enough for all of our calculations in this course. However, there are some limitations you should be aware of.
The interactivity of graphs is very limited. For example, no selection of datacan be done interactively. With the
bokeh
plotting packages you can at least zoom in and out of images and line plots.If your notebook is idle for too long, you will get disconnected from your notebook. “Idle” means that cells are not being edited or executed. The idle timeout varies depending on the load on Google’s computers.
Your virtual machine will disconnect if it is being used for too long. It typically will only available for 12 hours before disconnecting, though times can vary, again based on load.
These limitations are in place so that Google can offer Colab for free. If you want more cores, longer timeouts, etc., you might want to check out Colab Pro. However, the free tier should work well for you in the course. You of course can always run on your own machine, and in fact are encouraged to do so except where collaboration is necessary.
There are additional software-specific watchouts when using Colab.
Colab does not allow for full functionality Bokeh apps and some Panel functionality will therefore not be used in this course.
Colab instances have specific software installed, so you will need to install anything else you need in your notebook. This is not a major burden, and is discussed in the next section.
I recommend reading the Colab FAQs for more information about Colab. Software in Colab
When you launch a Google Colab notebook, much of the software we will use in class is already installed. It is not always the latest version of the software, however. In fact, as of early January 2021, Colab is running Python 3.6, whereas you will run Python 3.8 on your machine through your Anaconda installation. Nonetheless, all of the analyses we do for this class will work just fine in Colab.
Because the notebooks in Colab have software preinstalled, and no more, you will often need to install software before you can run the rest of the code in a notebook. To enable this, when necessary, in the first code cell of each notebook in this class, we will have the following code (or a variant thereof depending on what is needed or if the default installations of Colab change). Running this code will not affect running your notebook on your local machine; the same notebook will work on your local machine or on Colab.
# Colab setup —————— %%capture import os, sys if “google.colab” in sys.modules:
!pip install pyTEMlib
# ——————————
In addition to installing the necessary software on a Colab instance, we also have to have access to the data we want to analyse. We expect these data to be on your google drive. You will have to follow the directions to give permission to the notebook to access these data.
# Google Drive setup ———– if “google.colab” in sys.modules:
from google.colab import drive drive.mount(“/content/drive”)
# ——————————
When running on your local machine, the path to the data can be chosen without restrictions.
Collaborating with Colab
If you want to collaborate with another student or with the course staff on a notebook, you can click “Share” on the top right corner of the Colab window and choose with whom and how (the defaults are fine) you want to share.
Installation on your own machine
We now proceed to discuss installation of the necessary software on your own machine.
Uninstalling Anaconda
Unless you have experience with Anaconda and know how to set up environments, if you have previously installed Anaconda with a version of Python other than 3.8, you need to uninstall it, removing it completely from your computer. You can find instructions on how to do that from the official
uninstallation documentation. Downloading and installing Anaconda Downloading and installing Anaconda is simple.
Go to the Anaconda distribution homepage and download the graphical installer.
Be sure to download Anaconda for Python 3.8 for the appropriate operating system.
Follow the on-screen instructions for installation.
You may be prompted for optional installations, like PyCharm. You will not need these for the course.
That’s it! After you do that, you will have a functioning Python distribution.
Launching Jupyter notebook
After installing the Anaconda distribution, you should be able to launch the Anaconda Navigator. If you are using macOS, this is available in your Applications menu. If you are using Windows, you can do this from the Start menu. Launch Anaconda Navigator.
We will be using jupyter notebooks throughout the course. You should see an option to launch Jupyter Notebook. When you do that, a new browser window or tab will open with Jupyter notebook running. For the updating and installation of necessary packages, click on Terminal to launch a terminal. You will get a terminal window (probably black) with a bash prompt. We refer to this text interface in the terminal as the command line.
The conda package manager
conda is a package manager for keeping all of your packages up-to-date. It has plenty of functionality beyond our basic usage in class, which you can learn more about by reading the docs. We will primarily be using conda to install and update packages.
conda works from the command line. Now that you know how to get a command line prompt, you can start using conda. The first thing we’ll do is update conda itself. Enter the following on the command line
conda update conda
You will be prompted to continue this operation, so press y to continue. Next, we’ll update the packages that came with the Anaconda distribution. To do this, enter the following on the command line:
conda update –all
If anything is out of date, you will be prompted to perform the updates, and press y to continue. (If everything is up to date, you will just see a list of all the installed packages.) They may even be some downgrades. This happens when there are package conflicts where one package requires an earlier version of another. conda is very smart and figures all of this out for you, so you can almost always say “yes” (or “y”) to conda when it prompts you.


Please study the markup in these examples, and be sure to view them with JavaScript disabled, too.
Article Listing
Only the image illustrating the headline story is shown to all users. This decision has been made, perhaps purely because it is the lead article, or maybe because the image highlights the subject of the story.
Images for subsequent stories are considered to be decorative – nice-to-have – and are therefore conditionally loaded (readers must be viewing using browser with a viewport wider than 640px). Although these images may not be displayed in this list, the full article will include images relating to the story. This makes sense, after all, anyone viewing that article has likely expressed an interest in reading and enjoying its content.
Image Gallery (Slideshow)
As a gallery of photos, it’s essential full-size images can be viewed by any user, regardless of device. A high resolution version of each image (1440×960 pixels) is therefore linked from a small thumbnail (360×240 pixels).
When we enhance the design with JavaScript, we use these smaller thumbnails as image placeholders, that appear before larger resolution images are fully downloaded (and which are only downloaded when the viewport is wider than 640px).
Image Gallery (Carousel)
As a gallery of photos, it’s essential full-size images can be viewed by any user, regardless of device. A high resolution version of each image (1440×960 pixels) is linked to from a small thumbnail (360×240 pixels).
When we enhance the design with JavaScript, we retain the thumbnail images and include them in the carousel interface. We also use them as placeholder images, appearing before the large resolution images have been fully downloaded.
Big Picture
As a page of large immersive images, it’s essential these can be viewed by any user, regardless of device. High resolution versions of each image (990 pixels wide) are linked to from small thumbnail images (360 pixels wide).
When we enhance the design with JavaScript, we use the thumbnails as image placeholders, that appear before the large resolution images have been fully downloaded (and which are only downloaded when the viewport is wider than 640px).


Dashboard
Dashboard
CPU Settings
Close
OS Name:
Kernel:
Up time:
CPU:
Total Memory:
Local IP:
Public IP:
Gateway Default:


Premium Materials
Our watches use the best stuff which is sourced locally. This will increase the longevity of your purchase.
Fast Shipping
We make sure you recieve your watch as soon as we have finished making it. We also provide free returns if you are not satisfied.
Quality Assurance
For every purchase you make, we will ensure there are no damages or faults and we will check and test your watch.


This is the index of all experiments for the Body Elements installation. The corresponding GitHub, where source code and other things can be found is here: https://github.com/JGL/BodyElements/.
Experiments:
- Experiment 1: first scene manager and 4 scenes.
- Experiment 2: particles in 4 scenes.
- Experiment 3: particles in 4 scenes with live body tracking.
- Experiment 4: proper ratio of elements by mass and number of atoms.
- Experiment 5: stress test for M1.


Sylvanian Families P.C. Bobby Roberts
P.C. Bobby Roberts is the only member of this family.
From the box:
P.C. "Bobby" Roberts always has a friend word for everyone he meets - except if they've been naughty! He rides about on his blue bike making sure everything in Sylvanian is just as it should be. Sometimes, he even gives children a ride in the little seat behind him. All in all, he's a jolly nice policeman.


!Arena Director:
Play the game according to the rules!  What? Unfair? Then why don't you hold your tongue and give it another try!
[npc_%objectId%_CPRecovery|CP Recovery: 1000 adena]
[npc_%objectId%_HPRecovery|HP Recovery: 1000 adena]
[npc_%objectId%_ArenaBuff|Buff for Battle Ground : 2000 adena]
[npc_%objectId%_DepositP|Private Warehouse: Deposit an item.]
[npc_%objectId%_WithdrawP 0|Private Warehouse: Withdraw an item. (List all)]
[npc_%objectId%_WithdrawP 99|Private Warehouse: Withdraw an item. (Select)]
[npc_%objectId%_Quest|Quest]


|
PHP Stream
|
Public Member Functions | |
| __construct (private array $array) | |
| filter (callable|UnaryFunction|FilterOperator $filter) | |
| map (callable|UnaryFunction|string|MapOperator $mapper) | |
| peek (callable|UnaryFunction|PeekOperator $peekingFunction) | |
| limit (int $limit) | |
| skip (int $limit) | |
| distinct () | |
| index (callable|string $indexer, $allowDuplicate=false) | |
| sort (callable|Comparator|string $cmp=null) | |
| execute (StreamOperator $operator) | |
| findAny () | |
| findFirst () | |
| findLast () | |
| count () | |
| toArray () | |
| toMap () | |
| toIterable () | |
| min (callable|Comparator $cmp=null) | |
| max (callable|Comparator $cmp=null) | |
| reduce (callable|BinaryFunction $reducer, mixed $initialValue=null) | |
| collect (StreamCollector $collector) | |
| Public Member Functions inherited from phpstream\Stream | |
| reduce (callable|BinaryFunction $reducer, $initialValue=null) | |
Additional Inherited Members | |
| Static Public Member Functions inherited from phpstream\Stream | |
| static | of (iterable $iterable=[], bool $inMemory=true) |
| static | concat (Stream|array... $streams) |
| Protected Member Functions inherited from phpstream\Stream | |
| _getComparator (callable|Comparator $cmp=null) | |
Stream processor implementation using internal php array function. It offers better performance but requires more memory to perform operations.
| phpstream\impl\MemoryStream::__construct | ( | private array | $array | ) |
MemoryStream constructor.
| array | $array | Iterable value to be processed. |
| phpstream\impl\MemoryStream::collect | ( | StreamCollector | $collector | ) |
Collect data according given Stream collector.
| StreamCollector | $collector | Collector instance |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::count | ( | ) |
Returnd the number of elements in the resulting array.
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::distinct | ( | ) |
Returns a new Stream that contains only distinct elements.
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::execute | ( | StreamOperator | $operator | ) |
Skip the first result.
| StreamOperator | $operator | Operator to execute. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::filter | ( | callable|UnaryFunction|FilterOperator | $filter | ) |
Filter enclosing array using a callback function. Callback function must take 1 parameters $value
corresponding to array value in the enclosing array. It must return true
if the element is valid, false
otherwise.
| callable | UnaryFunction | FilterOperator | $filter | Filtering callback function. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::findAny | ( | ) |
Returns an Optional instance containing any element of the resulting array if exists.
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::findFirst | ( | ) |
Returns an Optional instance containing the first element of the resulting array if exists.
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::findLast | ( | ) |
Returns an Optional instance containing the first element of the resulting array if exists.
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::index | ( | callable|string | $indexer, |
$allowDuplicate = false |
|||
| ) |
Returns an optional containing the max value of the stream if exists.
| callable | string | $indexer | Indexer function or field. |
| bool | $allowDuplicate | If duplicates are allowed, no error if given when 2 elements got same key. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::limit | ( | int | $limit | ) |
Limits the number of result.
| int | $limit | Number of results to keep. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::map | ( | callable|UnaryFunction|string|MapOperator | $mapper | ) |
Maps each element of the enclosing array using function.
| callable | UnaryFunction | string | MapOperator | $mapper | Mapping function to call |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::max | ( | callable|Comparator | $cmp = null | ) |
Returns an optional containing the max value of the stream if exists.
| callable | Comparator | null | $cmp | Comparator object / callback. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::min | ( | callable|Comparator | $cmp = null | ) |
Returns an optional containing the min value of the stream if exists.
| callable | Comparator | null | $cmp | Comparator object / callback. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::peek | ( | callable|UnaryFunction|PeekOperator | $peekingFunction | ) |
Maps each element of the enclosing array using function.
| callable | UnaryFunction | PeekOperator | $peekingFunction | Mapping function to call |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::skip | ( | int | $limit | ) |
Skip the first result.
| int | $limit | Number of elements to skip. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::sort | ( | callable|Comparator|string | $cmp = null | ) |
Sort stream.
| callable | Comparator | string | null | $cmp | Comparator object / callback or field/method. |
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::toArray | ( | ) |
Executes all operations and return an array of results.
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::toIterable | ( | ) |
Executes all operations and return a map of results (conserving key / value association of the initial array).
Reimplemented from phpstream\Stream.
| phpstream\impl\MemoryStream::toMap | ( | ) |
Executes all operations and return a map of results (conserving key / value association of the initial array).
Reimplemented from phpstream\Stream.


 Using this function is not required because Lua has automatic garbage-collection features. More information here.
collectgarbage( [opt [, arg]] )
String. Performs garbage-collection functions differently based on this option. See Possible values for opt
section for a complete listing. The default (if this argument is omitted) is: "collect"
Any. Arguments that are directly related to the value you chose for opt
. Many options do not need arguments to be passed.
opt
The following is a list of accepted strings for the opt
argument:
arg
(larger values mean more steps) in a non-specified way. If you want to control the step size you must experimentally tune the value of arg
. Returns true
if the step finished a collection cycle.arg
as the new value for the pause of the collector. Returns the previous value for pause.arg
as the new value for the step multiplier of the collector. Returns the previous value for step.


Developer Titles is about fun, at all. As I like to describe it, it is a fictional title generator for developers who doesn't know how to call themselves.
It plays with old technologies, hierarchy, and a lot of singular things in the development world - front-end, back-end, mobile, devops, databases...
After seeing crazy jobs and developers' titles on social media - specially on LinkedIn - I've decided to create this "hub", and merge them in a single website.

This website is open source, and the code is on GitHub - take a look and don't be afraid to contribute!


We sell platforms!
- synergize cross-media web-readiness
- deploy enterprise e-business
- drive distributed vortals
- productize bricks-and-clicks niches
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The Million Dollar Hotel *
Rated on a 4-star scale Screening venue: Odeon (Liverpool City Centre) Released in the UK by Icon on April 28, 2000; certificate 15; 122 minutes; countries of origin Germany/USA; aspect ratio 2.35:1
Directed by Wim Wenders; produced by Bono, Nicholas Klein, Deepak Nayar, Wim Wenders. Written by Nicholas Klein; based on a story by Bono and Nicholas Klein. Photographed by Phedon Papamichael; edited by Tatiana S. Rigel.
CAST..... Jeremy Davies..... Tom Tom Milla Jovovich..... Eloise Mel Gibson..... Detective Skinner Jimmy Smits..... Geronimo Peter Stormare..... Dixie Amanda Plummer..... Vivien Gloria Stuart..... Jessica Tom Bower..... Hector Donal Logue..... Charley Best Bud Cort..... Shorty Julian Sands..... Terence Scopey Conrad Roberts..... Stix Harris Yulin..... Stanley Goldkiss
The people behind the scenes of "The Million Dollar Hotel" probably thought they were making a great movie. It's so far out there, odd on such a grand scale, with such emotional sounds and warped visuals, that there must have been a lot of risk and passion put into it. Nobody wants to do that in service of a big disaster. But they have.
To give you an idea of what the movie is like, I must describe some of the characters, because they dominate the film.  At the forefront is Tom Tom (Jeremy Davies), a skinny, fidgety young skateboarder who everyone seems to agree is retarded. He's in love with Eloise (Milla Jovovich), a quiet but self-destructive prostitute who likes to read.
Geronimo (Jimmy Smits), another friend of Tom Tom, wears a cape, paints tar over stolen goods and communicates through shouting. Dixie (Peter Stormare), who has not left the hotel since 1980, still awaits a visit from his dentist, and is convinced that he was the real songwriter for The Beatles. Vivien (Amanda Plummer) shoots heroin and is engaged to a dead man. Shorty (Bud Cort) is a pretty standard drunk. Jessica (Gloria Stuart) is a sweet old lady who swears a lot -- and if there's a comic device I'm really getting tired of in the movies, it's that one.
The story begins with an FBI agent played by Mel Gibson coming to investigate the death of a guy called Izzy, a former inhabitant of the Million Dollar Hotel who fell from the roof. It seems like suicide, but Izzy's rich father is convinced that his boy was murdered, and Gibson determines to find a culprit, aggressively interrogating the hotel's weirdoes and secretly enlisting Tom Tom's help.
We soon learn that the Gibson character, who wears a neck brace and moves in a robotic fashion, did himself grow up among 'freaks', after being born a deformed child with a third arm growing out of his back. As his investigation goes on, he develops an affinity for the hotel occupants, an emotional involvement that threatens to get in the way of his professionalism.
This should be poignant, but never is, because Gibson's body language is risible and distracting, and his dilemma never strikes us as being particularly meaningful. The rest of the movie doesn't work because we have to spend time with a plethora of wretched cretins, who get to be annoying very quickly. "Being John Malkovich" is a recent example of how entertaining eccentricity can be; "The Million Dollar Hotel" is filled with grating noise and murky sets, and most of it is about as fun as a bad trip.
Some of the music is fantastic -- U2's Bono wrote the film's story, and stuck around to create tracks for the soundtrack. There are moments of rich photography, and the editing is often hypnotic, with its fascinating use of shot repetition and emphasis on slow, seductive camera moves. It's even possible to get wrapped up in the plot, simply because we have no way of predicting what's going to happen. Then again, the eventual answer to the murder mystery is lacklustre, and it takes too long to get there.
COPYRIGHT(c) 2000 Ian Waldron-Mantgani Please visit, and encourage others to visit, the UK Critic's website, which is located at http://members.aol.com/ukcritic
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


2019 Antoine Mayerowitz
“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.”
antoine@gitcrashcourse$ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" antoine@gitcrashcourse$ brew install git
antoine@gitcrashcourse$ git config --global user.name "<My name>" antoine@gitcrashcourse$ git config --global user.email <My email>
A git repository is like a git project folder. It contains all the history of every files in it.
There are two ways of setting a Git repository:
We will learn the first method for now !
Initiate a git repository
antoine@~$ mkdir gitcrashcourse && cd gitcrashcourse <- create a new folder and go into it antoine@gitcrashcourse$ git init Initialized empty Git repository in /Users/antoine/gitcrashcourse/.git/
That's it! You got your first repository
Your local repository consists of three "trees" maintained by git.
DON'T PANIC, we'll get through it in the next section
antoine@gitcrashcourse$ echo "Hello World" > hello_world.txt <- creates a text file antoine@gitcrashcourse$ cat hello_world.txt <- print the content of our file Hello World
See the state of your local repository
antoine@gitcrashcourse$ git status On branch master No commits yet Untracked files: (use "git add..." to include in what will be committed) hello_world.txt nothing added to commit but untracked files present (use "git add" to track)
Hey look, git tells us that there is a new file!
Add file(s) to the staging state to track them.
antoine@gitcrashcourse$ git add hello_world.txt antoine@gitcrashcourse$ git status On branch master No commits yet Changes to be committed: (use "git rm --cached file..." to unstage) new file: hello_world.txt
Now git tracks our file, but it is not commited yet
Save tracked changes from the staging area to the HEAD.
antoine@gitcrashcourse$ git commit -m "my first commit" [master (root-commit) acaad7c] my first commit 1 file changed, 1 insertion(+) create mode 100644 hello_world.txt
Done!... Well ... what've changed ?
Git allows you to track changes, remember ?
See the commits history.
antoine@gitcrashcourse$ git log Author: Antoine Mayerowitz <<EMAIL_ADDRESS>> <- Who Date: Tue Apr 2 13:32:33 2019 +0200 <- When my first commit <- What
Let's recap !
Exercise: Add changes to hello_world.txt
and commit those changes!
antoine@gitcrashcourse$ date >> hello_world.txt <- Add new line with the date antoine@gitcrashcourse$ cat hello_world.txt Hello World Tue Apr 2 13:48:52 CEST 2019
antoine@gitcrashcourse$ git status On branch master Changes not staged for commit: (use "git add < file >..." to update what will be committed) (use "git checkout -- < file >..." to discard changes in working directory) modified: hello_world.txt no changes added to commit (use "git add" and/or "git commit -a")
antoine@gitcrashcourse$ git add hello_world.txt antoine@gitcrashcourse$ git status On branch master Changes to be committed: (use "git reset HEAD < file >..."  It's better practice to create another branch and merge it when you are ready
antoine@gitcrashcourse$ git checkout -b development Switched to a new branch 'development'
You can also use git branch <branchname>
but you won't
checkout automatically to this branch
Let's add some experimental things to our new branch
antoine@gitcrashcourse$ echo "Experimental code" >> hello_world.txt antoine@gitcrashcourse$ cat hello_world Hello World Tue Apr 2 13:48:52 CEST 2019 Experimental code
antoine@gitcrashcourse$ git status On branch development Changes not staged for commit: (use "git add <file> ..." to update what will be committed) (use "git checkout -- <file>..." to discard changes in working directory) modified: hello_world.txt no changes added to commit (use "git add" and/or "git commit -a")
Notice that Git tells us we are on the development branch
antoine@gitcrashcourse$ git add hello_world.txt antoine@gitcrashcourse$ git commit -m "Experimental feature" [development 9344d4e] Experimental feature 1 file changed, 1 insertion(+)
antoine@gitcrashcourse$ git branch * development master
The master branch is the one created by default!
Maybe you will want to go back on master branch?
antoine@gitcrashcourse$ git checkout master Switched to branch 'master' Your branch is up to date with 'origin/master'. antoine@gitcrashcourse$ git branch development * master antoine@gitcrashcourse$ cat hello_world.txt Hello World Tue Apr 2 13:48:52 CEST 2019
Exercise:
test
bad_idea.txt
with some text in itgit branch -D <branchname>
What if I want to get the changes of one branch into another?

Let's try to merge automatically
Don't forget to go on the master branch !
antoine@gitcrashcourse$ git merge development Auto-merging hello_world.txt CONFLICT (content): Merge conflict in hello_world.txt Automatic merge failed; fix conflicts and then commit the result.
Oupsie! Guess we'll have to do it by hand.
What does our file looks like ?
<<<<<<< HEAD Hello You ======= Hello Friends >>>>>>> development Tue Apr 2 13:48:52 CEST 2019 Experimental code
We need to manually edit the file and keep our favorite version.
Don't forget to delete the git tags during the process! You can also make any other changes you like, just make it work!
Save your file when your done.
Hello Friends Tue Apr 2 13:48:52 CEST 2019 Experimental code
Let's finish this merging !
We're close..
antoine@gitcrashcourse$ git add hello_world.txt antoine@gitcrashcourse$ git commit -m "Fix merge conflict" [master 5059be6] Fix merge conflict
Done !
Exercise:
mastering_git.txt
with some text.It's human to make some mistakes.   to include in what will be committed) hello_world.zip antoine@gitcrashcourse$ echo "*.zip" > .gitignore <- ignore all zip files antoine@gitcrashcourse$ git status On branch master Untracked files: (use "git add < file >..." to include in what will be committed) .gitignore <- No more zip files !
Having a gitignore in your project is great to keep it clean !
Github is a commercial website that allows users to host Git repositories. It comes with popular extra features.
We'll also need to learn a bit of extra git commands ...
But first let's create an account.
A common practice is to give the repo the same name as your directory.
We will use the third method:
antoine@gitcrashcourse$ git remote add origin https://github.com/SuperMayo/gitCourseExample.git <- Do not copy-paste !!!! antoine@gitcrashcourse$ git push -u origin master Counting objects: 20, done. Delta compression using up to 4 threads. Compressing objects: 100% (12/12), done. Writing objects: 100% (20/20), 1.83 KiB | 939.00 KiB/s, done. Total 20 (delta 2), reused 0 (delta 0) remote: Resolving deltas: 100% (2/2), done. To https://github.com/SuperMayo/gitCourseExample.git * [new branch] master -> master Branch 'master' set up to track remote branch 'master' from 'origin'.
Github may ask you your credential for the first time.
Go back to your repository on Github ...
We've just seen some new functions:
You can check your remote repositories with git remote
The -u
option is used only once to define the upstream (=default) remote. Then you use it like git push <remote name> <branch name>
Let's add the development branch as well.
Try to do it yourself!
antoine@gitcrashcourse$ git push origin development
What happen if someone else changes something on the remote repository ?
Let simulate that by editing directly on github!
Now go back to your console.
If I try to push new changes...
antoine@gitcrashcourse$ git add .gitignore antoine@gitcrashcourse$ git commit -m "add gitignore" antoine@gitcrashcourse$ git push origin master o https://github.com/SuperMayo/gitCourseExample.git ! [rejected] master -> master (non-fast-forward) error: failed to push some refs to 'https://github.com/SuperMayo/gitCourseExample.git' hint: Updates were rejected because the tip of your current branch is behind hint: its remote counterpart. Integrate the remote changes (e.g. hint: 'git pull ...') before pushing again. hint: See the 'Note about fast-forwards' in 'git push --help' for details.
I get an error because my local repo is "behind" the remote.
I need to get the updates from the remote.
Git pull will download and merge the remote repo with your HEAD.
antoine@gitcrashcourse$ git pull --no-edit Merge made by the 'recursive' strategy. hello_world.txt | 1 + 1 file changed, 1 insertion(+) antoine@gitcrashcourse$ git status On branch master Your branch is ahead of 'origin/master' by 2 commits. (use "git push" to publish your local commits) nothing to commit, working tree clean
Finally, we can push our work !
antoine@gitcrashcourse$ git push origin master Counting objects: 5, done. Delta compression using up to 4 threads. Compressing objects: 100% (4/4), done. Writing objects: 100% (5/5), 616 bytes | 616.00 KiB/s, done. Total 5 (delta 0), reused 0 (delta 0) To https://github.com/SuperMayo/gitCourseExample.git d627d09..3e7310b master -> master
DONE !
Usually, when working within a team, you want to keep a "stable" version of your repo(most of the time it's the master branch). You also want your teammates to validate your work before merging it into master.
Let's imagine that you work on our previous project. You just created a new feature, added new data, cleaned some files ...
 Delta compression using up to 4 threads. Compressing objects: 100% (2/2), done. Writing objects: 100% (3/3), 352 bytes | 352.00 KiB/s, done. Total 3 (delta 0), reused 0 (delta 0) remote: remote: Create a pull request for 'new-feature' on GitHub by visiting: remote: https://github.com/SuperMayo/gitCourseExample/pull/new/new-feature remote: To https://github.com/SuperMayo/gitCourseExample.git * [new branch] new-feature -> new-feature
Now you want those changes to be reviewed by your teammates before incorporating them in the master branch.
Go back to Github!
Go on the pull request tab.
Select the branch you wish to merge.
A lot of info here. When you are ready you can create the pull request.
It's a good thing to write a message to explain what you've done!
Many other things to cover:
And many more ...
A clone is a copy of a repository that lives on your computer instead of on a website's server somewhere, or the act of making that copy. With your clone you can edit the files in your preferred editor and use Git to keep track of your changes without having to be online. It is, however, connected to the remote version so that changes can be synced between the two. You can push your local changes to the remote to keep them synced when you're online.
Contains all of the project files and stores a revision history. Think of them as project folders.
A branch is a parallel version of a repository. It is contained within the repository, but does not affect the primary or master branch allowing you to work freely without disrupting the "live" version. When you've made the changes you want to make, you can merge your branch back into the master branch to publish your changes
A commit, or "revision", is an individual change to a file (or set of files). It's like when you save a file, except with Git, every time you save it creates a unique ID (a.k.a. the "SHA" or "hash") that allows you to keep record of what changes were made when and by who. Commits usually contain a commit message which is a brief description of what changes were made.
Merging takes the changes from one branch and applies them into another.
This is the version of something that is hosted on a server (ex: Github, Gitlab, Bitbucket ...). It can be connected to local clones so that changes can be synced.
When talking about a branch or a fork, the primary branch on the original repository is often referred to as the "upstream", since that is the main place that other changes will come in from. The branch/fork you are working on is then called the "downstream".
Updates the index using the current content found in the working tree, to prepare the content staged for the next commit.
The git checkout command lets you navigate between the branches created by git branch. Checking out a branch updates the files in the working directory to match the version stored in that branch, and it tells Git to record all new commits on that branch. Think of it as a way to select which line of development you’re working on.


At Write.Think.Do. we work with management teams and their staff to analyze problems, conduct research, measure performance and formulate recommendations.
We also advise senior executives on decisions about strategy, marketing and sales, sourcing and operations.
Finally we help them organize and communicate information to target audiences in oral and written form.
Strategy &
Leadership


This part of the tutorial will go over how to host your project on GitLab, including: * The virtues of using a .gitignore
file * The GitLab workflow * How to solve a merge conflict
Before starting this tutorial, you should have a Gitlab username and password.
For this tutorial, all commands that you should type in your terminal will be prefaced with
>
.
There are several popular providers for hosting git
repositories; the most widely used is GitHub. These services maintain a remote version of your repository that corresponds to the local version you have saved on your own computer. The remotely hosted version serves as a backup and allows you to easily share your work and collaborate with others. For this course, we'll be using GitLab.
Log in to GitLab with your username and password and navigate to your GitLab page.
Create a new repository called NYC-311. The repository URL will be https://insert-path-to-gitlab/username/NYC-311.
Add the remote repository to your local repository:
> git remote add origin https://insert-path-to-gitlab/username/nyc-311.git
You can then see the remote repository with the git remote
command:
> git remote -v
The remote repository is named "origin," which is a common choice of name for the primary repository for a project.
The remote version of your repository doesn't automatically sync with your local version (or vice versa). To sync up the remote and local versions, you have to push your local changes to the remote repository, or pull any changes from the remote repository into your local repository. To push changes, we use the git push
command:
> git push --set-upstream origin master
What we have done is taken a copy of our repository and pushed it to GitLab. The --set-upstream
option specifies the remote branch that corresponds to your local branch, so when you push changes to GitLab in the future, you just need to use the command:
> git push origin master
To pull in changes from the remote repository to your repository, you can use the following command:
> git pull origin master
Why do we need to keep two versions of the same project? Let's try out an example. Grab a friend and have them clone
your repo using the command below. (You'll have to make sure they also have a GitLab account and add them as a collaborator to your repository).
> git clone https://insert-path-to-gitlab/username/nyc-311.git
Now your friend has a local copy of your repository. Now cd
into the project folder and add a special file called .gitignore
. The .gitignore
file is a special file that tells git
what it should ignore when you make a commit - that is, anything that you don't want to end up in your repository.
Open up the .gitignore
file in a text editor (for this example we're using nano
):
> nano .gitignore
Then add the following:
#Ignore pyc files
*.pyc
The first line (which starts with a #
) is a comment, which git
will ignore. The second line is the first entry: *.pyc
. The *
is shorthand for "anything," so including *.pyc
instructs git
not to commit files whose names match the pattern (anything).pyc
. Files that end in .pyc
are Python bytecode files that will appear when you run your Python code; they are not necessary or useful for you, so you don't want them cluttering up your repo. Using the *
is useful so you don't have to list out all possible .pyc
files exhaustively.
It's also a good habit to put the names of any files that contain passwords or database configurations in your .gitignore
, so that you don't inadvertently commit sensitive information to the repo. Remember that git
keeps a record of files even after they're deleted, so if you accidentally commit sensitive information, it can be hard to make sure all traces of this information have been erased.
Now let's add the .gitignore
file to our repository:
> git add .gitignore
> git commit -m "Added .gitignore"
And push our changes to the repository:
> git push origin master
Now on your machine git pull
the new state of the repository
> git pull origin master
If you use the command ls -a
, you should see the .gitignore
file. If you look at the log (using git log
) you should see the new commit.
> ls -a
> git log
In this portion of the tutorial, we'll go over branching and the general GitHub workflow.
So far we have been doing the "solo" workflow, which looks something like the following:
> mkdir my_working_directory
> cd my_working_directory
> git init
> touch some_file.py
# hack, do some work, hack
# hack
> git add some_file.py
> git commit -m "Working with some awesome idea"
> git push origin master
# hack
# more hacking
As you might have guessed, this workflow is just fine when you are working by yourself. When you're working in a team, it's useful to have a more structured workflow. Here we'll talk about the Github flow.
In the GitHub flow, we never code anything unless there is a need to. When something needs to be done, we create an issue on the GitHub repository for it. Good issues: - Are clear - Have a defined output - Are actionable (written in the imperative voice) - Can be completed in a few days (at most)
Here are some examples: - Good: /Fix the bug in .../ - Good: /Add a method that does .../ - Bad: /Solve the project/ - Bad: /Some error happen/
Here is how to create a GitLab issue.
Once an issue exists, we'll pull from the repo and create a branch. A branch is a copy of the code base separate from the main master branch where we can work on our issue (e.g, fixing a bug, adding a feature) without affecting the master branch during our work and then ultimately merge our change into the master branch.
The flow goes something like this:
##Pull from the repo
> git pull
##Decide what you want to do and create an issue
> git checkout -b a-meaningful-name
The command git checkout -b
creates a new branch (in this case called "a-meaningful-name") and switches to that branch. We can see what branch we are on by using the command git branch
, which displays all the branches in the local repository with a *
next to the branch we are currently on.
##
##hack, hack, hack, make some changes, add/rm files, commit
##
##Push to the repo and create a remote branch
> git push
##Create a pull request and describe your work (Suggest/add a reviewer)
##Someone then reviews your code
##The pull-request is closed and the remote branch is destroyed
##Switch to master locally
> git checkout master
##Pull the most recent changes (including yours)
> git pull
##Delete your local branch
> git branch -d a-meaningful-name
Here is how to create a GitLab pull request.
As you work on projects with others, you will inevitably run into merge conflicts. A merge conflict occurs when you and another person have edited the same line of a file, and git
doesn't know which line is the correct one.
Let's make a conflict!
#create a branch called "drama"
> git checkout -b drama
#now modify the descriptive_stats.py file and change the top 10
#values to top 13
#commit your changes
> git add descriptive_stats.py
> git commit -m "Changed top 10 to top 13 in descriptive_stats.py"
#switch back to master branch
> git checkout master
#now modify the descriptive_stats.py file and change the top 10
#values to top 3
#commit your changes
> git add descriptive_stats.py
> git commit -m "Changed the top 10 to the top 3 in descriptive_stats.py"
Now we merge the drama
branch into the master
branch:
> git merge drama
Auto-merging descriptive_stats.py
CONFLICT (content): Merge conflict in descriptive_stats.py
Automatic merge failed; fix conflicts and then commit the result.
Our arbitrary drama has caused a conflict! If we check the status, we should see the following:
> git status
On branch master
You have unmerged paths.
(fix conflicts and run "git commit")
Unmerged paths:
(use "git add <file>..." to mark resolution)
both modified: descriptive_stats.py
Examining the conflicting file descriptive_stats.py
, you should see the following:
from __future__ import print_function
import pandas
fname_data = '311-service-requests.csv'
df_311_calls = pd.read_csv(fname_data)
<<<<<<< HEAD
print(df_311_calls['Complaint Type'].value_counts()[:3])
=======
print(df_311_calls['Complaint Type'].value_counts()[:13])
>>>>>>> drama
<<<<<<<
and >>>>>>>
denote the section of the code containing the conflict. At the beginning and end of the section, respectively, you see HEAD
and drama
. That means that the first section (before the =======
) comes from the version of the file on the master
, or HEAD
, branch, while the section after the divider comes from that the preceding line is from the drama branch.
The lines of the two branches are separated by =======
. In the event of a merge conflict, we have three choices: (1) keep the line from the master
branch, (2) keep the line from the drama
branch, or (3) create an entirely new line. In this case, we want to keep the line from the master branch (the line with 3 instead of 13), so we'll delete the merge conflict markers and the line from the drama
branch:
from __future__ import print_function
import pandas
fname_data = '../raw_data/311-service-requests.csv'
df_311_calls = pd.read_csv(fname_data)
print(df_311_calls['Complaint Type'].value_counts()[:3])
Now we save descriptive_stats.py
and commit:
> git commit -m "resolve drama"
Our merge conflict is now solved.
This tutorial was derived from tutorials created by Eduardo Blancas Reyes, Benedict Kuester, Adolfo De Unanue, Software Carpentry, and ASU PHY-494.
Further resources for becoming a git
master are: * Software Carpentry - A more in-depth intro git
tutorial.
15 minute tutorial to learn git - Intro tutorial.
git - the simple guide - A simple guide to get to know the most important concepts.
A successful git branching model - A model to work with git using branches. This model is widely used in the open source community.
Learn Git Branching - Understanding what branches and rebases are, in an amazing interactive tutorial.
Reset Demystified - A blog post on git reset
which develops some useful concepts along the way.
Understanding git for real by exploring the .git directory - A blog post on what's inside a commit.
Pro Git -- An in-depth discussion written by git
masters.


--- title: Home layout: default ---
Wed Oct 30 16:41:29 2019 +0000
https://magazine.adler.co.uk/promotional-idea/we-asked-100-people-to-draw-famous-logos-from-memory-here-is-what-they-drew/
Wed Oct 30 14:13:33 2019 +0000
https://www.stackoverflowbusiness.com/blog/the-idea-of-the-minimum-viable-candidate
Tue Oct 29 20:21:07 2019 +0000
https://www.inc.com/michael-schneider/google-research-shows-that-best-bosses-always-do-these-2-things.html


I have just created a Wordle. As far as I can see, it's based on the most recent Hooting Yard entries, rather than all of them, which is what I would have preferred. And yet it is still a thing of beauty, I think.
If I had more skill in technical jiggery-pokery, I would have copied the image and posted it here to save you following the link, but it didn't seem to lend itself to standard copying and pasting. Perhaps I can rely on the helpful nature of a technobod reader to tell me how to do that, and also to tell me if it's possible to do a Wordle of all of Hooting Yard, rather than just some of it.
N.B.—There is a second one here.


{% define "title" %}"Attend Onsite"{% end %} {% define "mastheadBgClass" %}bg-dark-grey{% end %} {% define "masthead" %}
Here are the three major airports in the Bay Area with international airline service.
We're working with local hotels to secure room blocks for I/O 2015. Check back soon for updates.
The Moscone Center is located at the corner of 4th & Howard Streets at 800 Howard St., San Francisco, CA 94103.
Public transportation to the Moscone Center is accessible via:


Array bisection algorithm for Dart.
Simple array bisection algorithm translated from Python's default library and implemented as extension methods for the class.
These methods are used to insert an element in a sorted list, without needing to sort it again.
Usage
A simple usage example:
import 'package:bisect/bisect.dart';
main() {
final sortedList = [1, 3, 4, 6, 8, 23, 75];
// Get the index where to insert an element
final index = sortedList.bisect(7);
print(index); // 4
// Inserts an element to the list while keeping sorting
sortedList.insort(7);
print(sortedList); // [1, 3, 4, 6, 7, 8, 23, 75]
Features and bugs
Please file feature requests and bugs at the issue tracker.
Libraries
- bisect
-
Bisection algorithms translated from
Python's standard library
(https://docs.python.org/3/library/bisect.html).


Speaker Deck Talks Widget
A very simple Speaker Deck Talks Widget, based on
@jcouyang
,
Github Widget
Your Widget:


--- layout: post title: Writing a Simple Text that glitters date: 2012-01-28 04:36:10.000000000 +05:30 type: post published: true status: publish categories: - C# - Tutorial tags: [] meta: {} author: ---
A few days ago I was trying to create a text with different colours, and suddenly I had an idea; Why not create a text that changes colours randomly to produce a glittering effect...
All I needed was:
1. A timer,
2. A Random number to fill the rgb,
3. An event handler that would paint the form everytime the timer ticked.
This is a simple program, and does not require any explanations, whatsoever.
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
}
private string strGlitterText;
private void Form1_Paint(object sender,EventArgs e)
{
Random r = new Random(DateTime.Now.Millisecond);
Brush mybrush = new SolidBrush(Color.FromArgb(r.Next(255), r.Next(255), r.Next(255)));
try
{
this.strGlitterText = "Glitter";
Graphics g = this.CreateGraphics();
g.DrawString(this.strGlitterText, new Font("Times New Roman", 14F), mybrush, new Point(30, 30));
}
catch (Exception f)
{ }
}
}
namespace GlitterText
{
partial class Form1
{
///
///
private System.ComponentModel.IContainer components = null;
///
///
/// true if managed resources should be disposed; otherwise, false.
protected override void Dispose(bool disposing)
{
if (disposing && (components != null))
{
components.Dispose();
}
base.Dispose(disposing);
}
#region Windows Form Designer generated code
///
/// the contents of this method with the code editor.
///
private void InitializeComponent()
{
this.components = new System.ComponentModel.Container();
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
//Timer to change the colour of the text
this.GlitterTime = new System.Timers.Timer(10);
//Repaint the form window when the timer ticks
this.GlitterTime.Elapsed += new System.Timers.ElapsedEventHandler(Form1_Paint);
this.GlitterTime.AutoReset = true;
this.GlitterTime.Start();
this.Text = "Glitter";
this.ClientSize = new System.Drawing.Size(1280, 1024);
//Whenever repainting is required, the same event is called.
this.Paint+=new System.Windows.Forms.PaintEventHandler(Form1_Paint);
}
#endregion
private System.Timers.Timer GlitterTime;
}
}
[caption id="attachment_25" align="aligncenter" width="300" caption="Purple Colour"][/caption][caption id="attachment_26" align="aligncenter" width="300" caption="Green Colour"][/caption]
I have created a library to add this text to any UI control, and providing the position of the text or to center it by default.
Happy Coding,
Eklavya Mirani


[gecode-users] question about counting constraint
Alberto Delgado
trosky99 at gmail.com
Sun Nov 29 14:49:11 CET 2009
Hi all,
Let's say i have an IntVarArray vars, an integer value b and an
IntVar car. According to the documentation, if i post the
constraint: count(*this,vars,b,IRT_EQ,car), the variable car will
represent the number of occurrences of b in vars.
Now, instead of b being an integer value let's assume it's an IntArgs
with all the elements of the domain of variables from vars, and that
car is now an IntVarArray that will represent the number of
occurrences of all values from b in vars. I wanted to constrain the
occurrences of each value from b in vars according to car, so i
implemented a for loop and posted a count constraint for each value in
b and variable in car: count(*this,vars,b[i],IRT_EQ,car[i]).
Then I realized that it is possible to use just one count constraint:
count(*this,vars,car,b), that should be equivalent to posting a count
constraint for each value in b.
Attached to this email there is an example that reflects what i
described above. When i run the example with line 64 uncommented and
line 67 commented, this is using a loop to post a count constraint
for each value in b, the solver finds a solution without failing at
all. If i comment line 64 and uncomment line 67, posting just one
count constraint, the solver fails right away.
Did i get wrong the definition of count(*this,vars,car,b) and it is
not equivalent to post a constraint for each value in b?
Thanks in advance,
Alberto
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--- layout: post title: Skinny Controller, Fat Model post_id: 192 categories: - essays and rants date: 2006-10-18 07:50:00.000000000 -06:00 author: Jamis permalink: 2006/10/18/skinny-controller-fat-model.html summary: > The "Fat Controller" anti-pattern is shown and dissected, and the reader is taken through the process of refactoring it into a more readable, maintainable, and testable solution ---
When first getting started with Rails, it is tempting to shove lots of logic in the view. I’ll admit that I was guilty of writing more than one template like the following during my Rails novitiate:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
 <% people = Person.find( :conditions => ["added_at > ? and deleted = ?", Time.now.utc, false], :order => "last_name, first_name") %> <% people.reject { |p| p.address.nil? }.each do |person| %> <div id="person-<%= person.new_record? ? "new" : person.id %>">  <%= person.last_name %>, <%= person.first_name %>   <%= (Date.today - person.birthdate) / 365 %>
 <% end %> |
Not only is the above difficult to read (just you try and find the HTML elements in it), it also completely bypasses the “C” in “MVC”. Consider the controller and model implementations that support that view:
1 2 3 4 5 6 7 8 |
# app/controllers/people_controller.rb class PeopleController < ActionController::Base end # app/models/person.rb class Person < ActiveRecord::Base has_one :address end |
Just look at that! Is it really any wonder that it is so tempting for novices to take this approach? They’ve got all their code in one place, and they don’t have to go switching between files to follow the logic of their program. Also, they can pretend that they haven’t actually written any Ruby code; I mean, look, it’s just the template, right?
For various reasons, though, this is a very, very bad idea. MVC has been successful for many reasons, and some of those reasons are “readability”, “maintainability”, “modularity”, and “separation of concerns”. You’d like your code to have those properties, right?
A better way is to move as much of the logic as possible into the controller. Seriously, isn’t that what the controller is for? It is supposed to mediate between the view and the model. Let’s make it earn its right to occupy a position in our source tree:
1 2 3 4 5 6 7 8 9 10 11 |
 <% @people.each do |person| %> <div id="person-<%= person.new_record? ? "new" : person.id %>">  <%= person.last_name %>, <%= person.first_name %>   <%= (Date.today - person.birthdate) / 365 %>
 <% end %> |
1 2 3 4 5 6 7 8 9 |
# app/controllers/people_controller.rb class PeopleController < ActionController::Base def index @people = Person.find( :conditions => ["added_at > ? and deleted = ?", Time.now.utc, false], :order => "last_name, first_name") @people = @people.reject { |p| p.address.nil? } end end |
Better! Definitely better. We dropped that big noisy chunk at the top of the template, and it’s more immediately obvious what the structure of the HTML file is. Also, you can see by reading the controller code roughly what kind of data is going to be displayed.
However, we can do better. There’s still a lot of noise in the view, mostly related to conditions and computations on the model objects. Let’s pull some of that into the model:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
# app/models/person.rb class Person < ActiveRecord::Base # ... def name "#{last_name}, #{first_name}" end def age (Date.today - person.birthdate) / 365 end def pseudo_id new_record? ? "new" : id end end |
1 2 3 4 5 6 7 |
 <% @people.each do |person| %> <div id="person-<%= person.pseudo_id %>"> <%= person.name %> <%= person.age %>
 <% end %> |
Wow. Stunning, isn’t it? The template is reduced to almost pure HTML, with only a loop and some simple insertions sprinkled about. Note, though, that this is not just a cosmetic refactoring: by moving name
, age
and pseudo_id
into the model, we’ve made it much easier to be consistent between our views, since any time we need to display a person’s name or age we can simply call those methods and have them computed identically every time. Even better, if we should change our minds and decide that (e.g.) age
needs to be computed differently, there is now only one place in our code that needs to change.
However, there’s still a fair bit of noise in the controller. I mean, look at that index
action. If you were new to the application, coming in to add a new feature or fix a bug, that’s a lot of line noise to parse just to figure out what is going on. If we abstract that code into the model, we can not only slim the controller down, but we can effectively document the operation we’re doing by naming the method in the model appropriately. Behold:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
# app/models/person.rb class Person < ActiveRecord::Base def self.find_recent people = find( :conditions => ["added_at > ? and deleted = ?", Time.now.utc, false], :order => "last_name, first_name") people.reject { |p| p.address.nil? } end # ... end # app/controllers/people_controller.rb class PeopleController < ActionController::Base def index @people = Person.find_recent end end |
Voila! Looking at PeopleController#index
, you can now see immediately what is going on. Furthermore, in the model, that query is now self-documenting, because we gave the method a descriptive name, find_recent
. (If you wanted, you could even take this a step further and override the find
method itself, as I described in Helping ActiveRecord finders help you. Then you could do something like Person.find(:recent)
instead of Person.find_recent
. There’s not a big advantage in that approach in this example, so it mostly depends on what you prefer, esthetically.)
Be aggressive! Try to keep your controller actions and views as slim as possible. A one-line action is a thing of wonder, as is a template that is mostly HTML. It is also much more maintainable than a view that is full of assignment statements and chained method calls.
Another (lesser) nice side-effect of lean controllers: it allows respond_to
to stand out that much more, making it simple to see at a glace what the possible output types are:
1 2 3 4 5 6 7 8 9 10 11 12 |
# app/controllers/people_controller.rb class PeopleController < ActionController::Base def index @people = Person.find_recent respond_to do |format| format.html format.xml { render :xml => @people.to_xml(:root => "people") } format.rss { render :action => "index.rxml" } end end end |
Give all this a try in your next project. Like adopting RESTful practices, it may take some time to wrap your mind around the refactoring process, especially if you’re still accustomed to throwing lots of logic in the view. Just be careful not to go too far; don’t go putting actual view logic in your model. If you find your model rendering templates or returning HTML or Javascript, you’ve refactored further than you should. In that case, you should make use of the helper modules that script/generate
so kindly stubs out for you in app/helpers
. Alternatively, you could look into using a presenter object.


Recoil.js is a new experimental state management library recently opensourced by Facebook. However, we realized that there are currently no developer tools out there making it scary for developers to integrate Recoil!
We created a Chrome Extension for Recoil-React applications that will help developers visualize and debug state!


User IP Address: {{ inspection.ipAddress }}
User Browser Agent: {{ inspection.userAgent }}
Submitted At: {{ inspection.timestamp }}
Checklist ID: {{ inspection._id }}


Veretout penalty gives Rome 2-1 win over Napoli
Napoli's hopes of mounting a Serie A title challenge this season took another blow on Saturday when they lost 2-1 at AS Roma, who missed one penalty and converted another.
ROME: Napoli's hopes of mounting a Serie A title challenge this season took another blow on Saturday when they lost 2-1 at AS Roma, who missed one penalty and converted another.
The defeat left Napoli with 18 points from 11 games, eight behind leaders Juventus who were away to neighbours Torino later on Saturday.
Nicolo Zaniolo fired Roma ahead in the 19th minute and they missed a chance to go further ahead when Aleksandar Kolarov's penalty was saved by Alex Meret minutes later
Roma were awarded another penalty in the 55th minute, this time converted by Jordan Veretout. Arkadiusz Milik pulled back a goal for Napoli in the 72nd minute but it was not enough to prevent Roma chalking up a third successive league win which left them third with 22 points.
(Writing by Brian Homewood; editing by Clare Fallon)


[§103F-405] Small purchases. Purchases of health and human services of less than $25,000 are small purchases, and shall be made in accordance with section 103D-305 and rules adopted by the policy board to implement that section. [L 1997, c 190, pt of §2]


In 2006, the city of Youngstown, Ohio walked away from the most fundamental assumption of economic development and city planning: the idea that a city needs to grow. With a rapidly dwindling population, the city commmited to shrinking by demolishing thousands of empty houses, and offering financial help and moving assistance to those left behind.
However, 11 years later, it is clear the Youngstown has failed to shrink in a smart, organized way, leaving thousands of people in some neighborhoods and dozen in others. This website seeks to preserve the many histories of a city in flux, recognizing the impact of shrinkage on the economic, cultural and social character of Youngstown, once defined by its strong neighborhood identities.
Downtown Youngstown is is the heart and soul of the City and the region.It is here John Young landed and drafted the original plan for Youngstown, and the streets he laid out in 1796 still define the Downtown neighborhood. From this core, Youngstown spread out in all directions, and as it did, it built a true downtown that included some of Americas early skyscrapers as the men that designed New York and Chicago also worked in Youngstown. Th is built environment in the core cannot be duplicated in a sprawl driven suburban economy and provides unique opportunities for redevelopment.metropolitan area.
The Arlington neighborhood grew as a strong working class area with strong Victorian influences. Large boarding houses and smaller single family residences shared a Victorian architectural style was so prevalent that the neighborhoodeventually was listed on the National Inventory of Historic Places as the Arlington Heights Historic District.
Unfortunately designation on its own saves nothing and this asset slipped away as speculation, disinvestment and eventual University expansion led to the almost total removal of the historic structures that made this neighborhood unique.
The university's origins trace back to 1908, when the local branch of the YMCA established a school of law within the Youngstown Association School. In 1921, the school became known as the Youngstown Institute of Technology and offered its first evening courses. In 1928, a year after establishing the College of Arts and Sciences, the institute once again changed its name to Youngstown College. In 1955, Youngstown College was renamed as Youngstown University, an indication of the school's broadening curriculum. This is currently the most vibrant neighborhood in the city due to city-university partnerships.
Wick Park, a gift to the City from the family whose name it bears, was designed as an open space with horse trails. It straddled the City’s northern border in 1880 and by 1890 was entirely within the city limits. The area adjacent to the park and on Fifth Avenue north of the park was the domain of Youngstown’s rich and famous.
The trappings of wealth faded with distance from Wick Park and Fifth Avenue. Working class apartments and houses filled in the residential land between Wick Avenue and Elm Street, and along the hillside above Andrews Avenue.
Many residential structures still remain with uses ranging from funeral homes to group homes, while much of the northern extent of Fifth Avenue retains its status with an active upper end real estate market.
The Brier Hill neighborhood grew on the homestead of early Youngstown industrialist and Ohio’s Civil War governor, David Tod. Tod’s mines provided coal for his mills and subdivision of his land provided housing for the miners and iron workers that provided muscle for such enterprises. Brier Hill grew as an unincorporated village inside Youngstown Township until it was absorbed by the City in stages between 1880 and 1900.
The rapid expansion of industry was a pull factor for the entire Mahoning Valley and Brier Hill served as an entry point for early immigrants, Welsh, Irish, Italian and African American as they, like the raw materials they processed, coalesced and became the strength of a rapidly growing industrial region. The coal mines that fueled the iron industry are long gone and the old rooming houses are either razed or in various stages of disrepair.
The Steelton neighborhood is the oldest on the West Side and grew with the Ohio Works. The Carnegie Iron and Steel Company (U.S. Steel) built much of the original housing stock to accommodate its growing work force. Much of this turn of the 20th century housing stock still exist in Steelton, and in general is well maintained.
Steelton grew during a period of eastern European immigration to the Mahoning Valley, and this heritage is visible on the built environment. Significant sacred landmarks dot the Steelton neighborhood proudly displaying their Ukrainian, Polish, Russian, Serbian and other ethnic lineages.
The Mahoning Commons neighborhood grew up on the relatively narrow fl ood plain on the south side of the Mahoning River. This neighborhood historically was a transportation and small industrial area with residential scattered throughout. It is the home of the City’s original water works, the historic B+O railroad station and the Western Reserve Transit Authority, located on the site of its predecessor, the Youngstown Transit Company.
Although Daniel Shehy purchased the entire eastern quadrant of Youngstown Township, the impact of Irish immigration is most visible in the East Side neighborhood. This neighborhood is the historic core of the East Side district, the majority of it coming into the City by 1880, the rest by 1900. Immaculate Conception Church and School, established by Irish Immigrants, still function in the neighborhood, and Irish street names, including Shehy Street, remain.
Settlement in this neighborhood clustered initially on the east side of Crab Creek as residences of workers employed by the mills. Population spread east as industrial development sprawled along the Mahoning River.
The Sharon Line/McGuffey Heights neighborhood illustrates the impact of transportation links on early neighborhood development. The Sharon line section was literally a creation of the street car line that ran from Youngstown, through Hubbard and to Sharon, Pennsylvania. The line linked the mills in all three locations and allowed for an early version of a flexible labor force.
The line ran down the middle of Jacobs Road, and the Sharon Line neighborhood spread out from the tracks. Sharon Line grew in a small relatively self suffi cient neighborhood in the midst of the rural East Side.
Lower Gibson was not constrained by the ridge, but developed along what would become the industrial section of the Mahoning River fl oodplain. Lower Gibson was initially settled on the south bank fl ood plain, but as the mills expanded, worker housing was forced up the relatively steep embankment that is the gentler south east extension of ‘Impassible Ridge’. For the most part, Lower Gibson is now characterized by a mix of new brownfield industrial parks, residual and derelict industry and aging housing clinging to steep hillsides.
Approximate to Republic Steel’s Youngstown Plant and the Youngstown Sheet and Tube’s Campbell Works, Lansingville began as a mill worker neighborhood as land became scarce in Lower Gibson. Because the neighborhood expanded with the mills, Lansingville came into the City as part of three annexations between 1890 and 1929. Settled during a period of substantial Eastern European immigration, Lansingville developed as a predominantly Slovak ethnic neighborhood. Segments of this ethnic enclave still remain. Lansingville was built out to the city limit during the post World War II housing boom.
Erie, unlike Oak Hill, off ered no easy access to the top of the ridge. Th e northern section of the neighborhood became a part of the City just prior to 1900 and the remainder before 1910. The Erie neighborhood contains the area that was once occupied by the coal mining hamlet of Flint Hill, but other than a rail line, most traces of this settlement had faded away before city expansion.
Oak Hill or pieces of was the first South Side Neighborhood to be incorporated into the City of Youngstown. Because what is now Oak Hill Avenue off ered the point of least resistance to the top of what was known as ‘Impassable Ridge’ and the relatively fl at land on the South Side, there was early settlement sections adjacent to Mahoning Commons which were in the initial municipal incorporation of 1869.
Warren grew as a working class neighborhood that infi lled between Market Street and the Idora neighborhood. Th e neighborhood was annexed into the City in two phases between 1890 and 1910 as the regions growing labor force caused residential expansion on the flatland south of the ridge.
Idora grew as a trolley line neighborhood adjacent to Mill Creek Park with upper-class residents. Th e Volney Road section of this neighborhood was developed as housing for the wealthy with upper-middle and middle-class housing becoming more prevalent near Glenwood Avenue. Th e neighborhood takes its name from the trolley line that fueled its growth and the amusement park that was at the end of the line. Th e Idora neighborhood became part of the City in 1929.
The Kirkmere neighborhood was extensively developed following World War II to fi ll the need for veterans housing. Named after the major arterials that border it, Kirk Road and Meridian Road, and with local streets named after WW II military engagements, this middle class neighborhood remains one of Youngstown’s strongest.
Initially settled along Bears Den Road because of the proximity to Mill Creek and the park, residential development hesitated to take hold in the area until after the coal mines ceased operations. Th e coal mining past still occasionally causes problems with shaft cave-ins, but this neighborhood has become among the most desirable in the City.
The City’s only market rate housing development in recent memory, Castle Court, was constructed off of Canfi eld Road in the late 1990s. The subdivision sold out, a testament to the vibrancy of the Kirkmere area.
Early development in this neighborhood began along Mahoning Avenue and spread south. Like Belle Vista, the earliest settlement began at the Mill Creek/Mahoning confl uence. Th e section between Mill Creek and Belle Vista one block south of Mahoning was in the City by 1900, the rest of Schenley was part of the 1929 annexation.
The sections farthest west off of Mahoning have a mix of pre and post war middle class housing. Housing adjacent to Mill Creek Park is more substantial and exhibits a mix of historic and modern structures. Th e Mill Creek Park influence makes this the highest value housing in the Schenley neighborhood.
This is a project located in Youngstown, Ohio which seeks to relate the city's numerous vacant residential and industrial properties to biophysical characteristics such as landcover and topography. This map was created in the Scripting Civic Engagement seminar at the University of Virginia (Fall 2017), taught by Andrea Hansen Phillips.
Map data courtesy of Mapbox Studio and the Youngstown State University
For questions or to improve this map, contact Liz Camuti


© 2019
| chlamydeus chlamydea chlamydeum | with a mantle | |||
| chlamys | chlamyd | noun/f | χλαμυϛ, υδοϛ a cloak, mantle | |
| eus | e | adj | -εοϛ adjective suffix for nouns: belonging to, from, of | |
| chloracanthus chloracantha chloracanthum | green spikes | |||
| chloros | chlor | adj | χλοροϛ pale green, bright green, green, yellow | |
| acantha | acanth | noun/f | ακανϑα thorn, thistle | |
| us | adj | Latinizing suffix | ||
| Agave chloracantha Salm-Dyck | ||||
| chloranthus chlorantha chloranthum | green flower | |||
| chloros | chlor | adj | χλοροϛ pale green, bright green, green, yellow | |
| anthos | anth | noun/n | ανϑοϛ flower | |
| us | adj | Latinizing suffix | ||
| Pyrola chlorantha Sw. Allium chloranthum Boiss. Echinocereus chloranthus (Engelm.) Haage f. | ||||
| chlorescens chlorescens chlorescens | tinted green | |||
| chloros | chlor | adj | χλοροϛ pale green, bright green, green, yellow | |
| escens | escent | adj | adjective suffix for nouns or adjectives: becoming like, incomplete resemblance -ish | |
| chlorifolius chlorifolia chlorifolium | light green leaved | |||
| chloros | chlor | adj | χλοροϛ pale green, bright green, green, yellow | |
| i | i | cnct | connective vowel used by botanical Latin | |
| folius | foli | adj | folium leaf | |
| Flaveria chlorifolia Gray | ||||
| chlorinus chlorina chlorinum | colored green | |||
| chloros | chlor | adj | χλοροϛ pale green, bright green, green, yellow | |
| inus | in | adj | -ινοϛ adjective suffix for nouns: composition, color, resembling, owning | |
| Caloplaca chlorina (Flotow) H. Olivier | ||||
| chloropetalus chloropetala chloropetalum | green petals | |||
| chloros | chlor | adj | χλοροϛ pale green, bright green, green, yellow | |
| o | o | cnct | connective vowel in botanical Latin, usually for Greek words but in some cases, such as color tingeing, for Latin words | |
| petalum | petal | noun/n | πεταλον Mod L petal (Gk: leaf, tablet) | |
| us | adj | Latinizing suffix | ||
| Trillium chloropetalum (Torr.) T.J.Howell | ||||
| chloroticus chlorotica chloroticum | colored green | |||
| chloros | chlor | adj | χλοροϛ pale green, bright green, green, yellow | |
| otes | ot | noun/f | -οτεϛ ? substantive suffix for adjectives: indicates this is a special feature | |
| icus | ic | adj | -ικοϛ adjective suffix for nouns: belonging to, from, of | |
| Castilleja chlorotica Piper | ||||
| chordatus chordata chordatum | corded | |||
| chorde | chord | noun/f | χορδη gut string, sausage | |
| atus | at | adj | adjectival suffix for nouns: possessive of or likeness of something (with, shaped, made)/ for verb participles: a completed action, -ed | |
| chordorhizos chordorhizos chordorhizon | stringy roots | |||
| chorde | chord | noun/f | χορδη gut string, sausage | |
| o | o | cnct | connective vowel in botanical Latin, usually for Greek words but in some cases, such as color tingeing, for Latin words | |
| rhiza | rhiz | noun/f | ριζα root; stem, origin | |
| os | adj | οϛ adjectival suffix |


My porch was annihilated!! mwbbq is a lunatic, who sends a styrofoam cooler. I was hoping for some Austin BBQ, but I'll settle for these tasting looking chorizo and pork/venison sausage. The home made pecan pralines are already gone
http://i.imgur.com/mPbwO6p.jpg
Of course he didn't stop with the treats. Now for the main course
All of the Jester King:
http://i.imgur.com/H7ZPf30.jpg
2015 Hibernal Dichotomous
Vie en Rose
Blanc de blanc
Fen tau
Sweet proper glassware
Aurelian
Atrial
Now the for rest of Texas:
http://i.imgur.com/7gge0Bf.jpg
512 Funky Kingston
Freetail Desperado Manzanilla
Freetail Peach Berliner
Oddwood Saison
Blue Owl Spirit Animal
Blue Owl Little Boss
Ranger Creek Small batch Apricot
And the Rest of the US / Belgium
http://i.imgur.com/RxgX8bR.jpg
de Garde Peach Bu
2nd shift Katy
FW Agrestic
Epic Sour Bainless on Peaches
Cantillon Kriek
4 hands passionfruit prussia
destihl wild sour lynnbrook
Alesmith Kona Speeway
some sweet stickers including the talk beer whale
Dude, awesome box!! I can't thank you enough. So many wants and new ticks! This is by far the best BIF on the internets. I better get to drinking and also start reloading for round XII
Last edited: Nov 12, 2015


Alerts
Create an alert by applying the alert
class to an element such as a

.

This is an alert

This is an alert
Variations
Use the alert-*
modifier to create variations.

Primary

Secondary

Success

Info

Warning

Danger

Light

Dark

Primary
Secondary
Success
Info
Warning
Danger
Light
Dark


1. The Comprehensive Convention on International Terrorism:
- The Comprehensive Convention on International Terrorism is a proposed treaty which
intends to criminalize all forms of international terrorism and deny terrorists, their financiers and
supporters access to funds, arms, and safe havens. Currently, the negotiations are deadlocked mainly
because of differences over the definition of terrorism.
- Key Issues
- The negotiations of the Comprehensive Terrorism Convention are deadlocked because of differences over
several controversial yet basic issues, including the definition of ´terrorism´.
For example:
What distinguishes a “terrorist organisation” from a ‘liberation movement’?
Are the activities of national armed forces excluded, even if they are perceived to commit acts of
terrorism?
If not, how much of this constitutes ‘state terrorism’?”
The definition of terrorism, which was on the negotiating table of the Comprehensive Convention since 2002 is
as follows:
- Any person commits an offence within the meaning of this Convention if that person, by any means,
unlawfully and intentionally, causes:
- Death or serious bodily injury to any person; or
- Serious damage to public or private property, including a place of public use, a State or government
facility, a public transportation system, an infrastructure facility or the environment; or
- Damage to property, places, facilities, or systems referred to result in major economic loss,
- When the purpose of the conduct is to intimidate threat a population, or to compel a Government or an
international organization to do or abstain from doing any act.
Proposed Exceptions to resolve the deadlock: In order to resolve deadlock the coordinator of
the negotiations, supported by most western delegations, proposed the following exceptions to address those
issues:
- This convention will not affect other rights, obligations and responsibilities of States, peoples and
individuals under international law especially for the purposes and principles of the Charter of the
United Nations, and international humanitarian law.
- This Convention will not govern the activities of armed forces during an armed conflict, as those terms
are understood under international humanitarian law, which are governed by that law.
- Even the activities undertaken by the military forces of a State in the exercise of their official
duties, inasmuch as they are governed by other rules of international law, will be not governed by this
Convention.
- The state members of the Organisation of the Islamic Conference proposed the following exceptions
instead of western delegation:
- This convention will not govern the activities of the parties during an armed conflict, including in
situations of foreign occupation, as those terms are understood under international humanitarian law,
which are governed by that law.
- The activities undertaken by the military forces of a State in the exercise of their official duties,
inasmuch as they are in conformity with international law, will be not governed by this Convention.
India’s stand: India has been advocating for early adoption of the CCIT and has called the
global community India had called upon the worldwide community to promote the anti-terror legal framework
and execute the Global Counter Terrorism Strategy in an integrated manner. India is of the view that
comprehensiveness of the Global Counter Terrorism Strategy will not be concluded devoid of the conclusion of
the CCIT which is at an important phase of discussion before the UN.
2. Shangri-La Dialogue (SLD)
- The IISS Asia Security Summit: The Shangri-La Dialogue (SLD) is a “Track One” inter-governmental
security forum held annually by an independent think tank, the International Institute for Strategic
Studies (IISS) which is attended by defense ministers, permanent heads of ministries and military chiefs
of 28 Asia-Pacific states.
- The forum gets its name from the Shangri-La Hotel in Singapore where it has been held since 2002.
- The summit serves to cultivate a sense of community among the most important policymakers in the defence
and security community in the region. While primarily an inter-governmental meeting, the summit is also
attended by legislators, academic experts, distinguished journalists and business delegates.
- The participants have included Australia, Brunei, Burma(Myanmar), Cambodia, Canada, Chile, France,
Germany, India, Indonesia, Japan, Laos, Malaysia, Mongolia, New Zealand, Pakistan, People’s Republic of
China, Philippines, Russia, South Korea, Sri Lanka, Singapore, Sweden, Thailand, East Timor, United
Kingdom, United States and Vietnam.
3. The Paris Agreement
- The Paris Agreement or Paris climate accord and Paris climate agreement, is an agreement within the
United Nations Framework Convention on Climate Change (UNFCCC) dealing with greenhouse gas emissions
mitigation, adaptation and finance starting in the year 2020.
- Main intention:
- Agreement to slow the process of global warming by making efforts to “hold the increase in the global
average temperature to well below 2 degrees above pre-industrial levels and to pursue efforts to limit
the temperature increase to 1.5°C above pre-industrial levels”.
- Decision to limit the amount of greenhouse gases emitted by human activity to a level that can be
naturally absorbed by trees, soils and oceans.
- Developed countries were also told to provide financial resources to help developing countries in
dealing with climate change and for adaptation measures. As part of a review mechanism, developed
countries were also asked to communicate every two years the “indicative” amount of money they would be
able to raise over the next two years, and information on how much of it would come from public
financial sources. In contrast, developing countries have only been “encouraged” to provide such
information every two years on a voluntary basis.
- The language of the agreement was negotiated by representatives of 195 countries at the 21st
Conference of the Parties of the UNFCCC in Paris and adopted by consensus on 12 December 2015.
- As of June 2017, 195 UNFCCC members have signed the agreement, 148 of which have ratified it.
- In the Paris Agreement, each country determines its own contribution it should make in
order to mitigate global warming.
- There is no mechanism to force a country to set a specific target by a specific date.


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Geocoding Early Novels is a collaborative project completed in 2019 that maps specific locations mentioned in the title pages of novels from the long eighteenth century. Our dataset of 2,002 novels from 1660-1850 is from the Early Novels Database project at the Kislak Center in the University of Pennsylvania. You can learn more about the END database project here. In total, our map plots 943 locations from a dataset of 2,002 catalogued novels.
This project was conceived of and executed by Ina Chen, Cassidy Holahan, and Dorothy Pierre-Louis. Learn more about us here.
To navigate to the map, click on the map on the left. To navigate to our observations, click on the hot air balloon on the right.
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