This tutorial begins where Tutorial 1 left off. We’ll setup the database, create your first model, and get a quick introduction to Django’s automatically-generated admin site.
Now, open up mysite/settings.py
. It’s a normal Python module with
module-level variables representing Django settings.
By default, the configuration uses SQLite. If you’re new to databases, or you’re just interested in trying Django, this is the easiest choice. SQLite is included in Python, so you won’t need to install anything else to support your database. When starting your first real project, however, you may want to use a more scalable database like PostgreSQL, to avoid database-switching headaches down the road.
If you wish to use another database, install the appropriate database
bindings and change the following keys in the
DATABASES
'default'
item to match your database connection
settings:
ENGINE
– Either
'django.db.backends.sqlite3'
,
'django.db.backends.postgresql'
,
'django.db.backends.mysql'
, or
'django.db.backends.oracle'
. Other backends are also available.NAME
– The name of your database. If you’re using SQLite, the
database will be a file on your computer; in that case, NAME
should be the full absolute path, including filename, of that file. The
default value, os.path.join(BASE_DIR, 'db.sqlite3')
, will store the file
in your project directory.If you are not using SQLite as your database, additional settings such as
USER
, PASSWORD
, and HOST
must be added.
For more details, see the reference documentation for DATABASES
.
For databases other than SQLite
If you’re using a database besides SQLite, make sure you’ve created a
database by this point. Do that with “CREATE DATABASE database_name;
”
within your database’s interactive prompt.
Also make sure that the database user provided in mysite/settings.py
has “create database” privileges. This allows automatic creation of a
test database which will be needed in a later
tutorial.
If you’re using SQLite, you don’t need to create anything beforehand - the database file will be created automatically when it is needed.
While you’re editing mysite/settings.py
, set TIME_ZONE
to
your time zone.
Also, note the INSTALLED_APPS
setting at the top of the file. That
holds the names of all Django applications that are activated in this Django
instance. Apps can be used in multiple projects, and you can package and
distribute them for use by others in their projects.
By default, INSTALLED_APPS
contains the following apps, all of which
come with Django:
django.contrib.admin
– The admin site. You’ll use it shortly.django.contrib.auth
– An authentication system.django.contrib.contenttypes
– A framework for content types.django.contrib.sessions
– A session framework.django.contrib.messages
– A messaging framework.django.contrib.staticfiles
– A framework for managing
static files.These applications are included by default as a convenience for the common case.
Some of these applications make use of at least one database table, though, so we need to create the tables in the database before we can use them. To do that, run the following command:
$ python manage.py migrate
...\> py manage.py migrate
The migrate
command looks at the INSTALLED_APPS
setting
and creates any necessary database tables according to the database settings
in your mysite/settings.py
file and the database migrations shipped
with the app (we’ll cover those later). You’ll see a message for each
migration it applies. If you’re interested, run the command-line client for your
database and type \dt
(PostgreSQL), SHOW TABLES;
(MySQL), .schema
(SQLite), or SELECT TABLE_NAME FROM USER_TABLES;
(Oracle) to display the
tables Django created.
For the minimalists
Like we said above, the default applications are included for the common
case, but not everybody needs them. If you don’t need any or all of them,
feel free to comment-out or delete the appropriate line(s) from
INSTALLED_APPS
before running migrate
. The
migrate
command will only run migrations for apps in
INSTALLED_APPS
.
Now we’ll define your models – essentially, your database layout, with additional metadata.
Philosophy
A model is the single, definitive source of truth about your data. It contains the essential fields and behaviors of the data you’re storing. Django follows the DRY Principle. The goal is to define your data model in one place and automatically derive things from it.
This includes the migrations - unlike in Ruby On Rails, for example, migrations are entirely derived from your models file, and are essentially just a history that Django can roll through to update your database schema to match your current models.
In our simple poll app, we’ll create two models: Question
and Choice
.
A Question
has a question and a publication date. A Choice
has two
fields: the text of the choice and a vote tally. Each Choice
is associated
with a Question
.
These concepts are represented by simple Python classes. Edit the
polls/models.py
file so it looks like this:
from django.db import models
class Question(models.Model):
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('date published')
class Choice(models.Model):
question = models.ForeignKey(Question, on_delete=models.CASCADE)
choice_text = models.CharField(max_length=200)
votes = models.IntegerField(default=0)
The code is straightforward. Each model is represented by a class that
subclasses django.db.models.Model
. Each model has a number of class
variables, each of which represents a database field in the model.
Each field is represented by an instance of a Field
class – e.g., CharField
for character fields and
DateTimeField
for datetimes. This tells Django what
type of data each field holds.
The name of each Field
instance (e.g.
question_text
or pub_date
) is the field’s name, in machine-friendly
format. You’ll use this value in your Python code, and your database will use
it as the column name.
You can use an optional first positional argument to a
Field
to designate a human-readable name. That’s used
in a couple of introspective parts of Django, and it doubles as documentation.
If this field isn’t provided, Django will use the machine-readable name. In this
example, we’ve only defined a human-readable name for Question.pub_date
.
For all other fields in this model, the field’s machine-readable name will
suffice as its human-readable name.
Some Field
classes have required arguments.
CharField
, for example, requires that you give it a
max_length
. That’s used not only in the
database schema, but in validation, as we’ll soon see.
A Field
can also have various optional arguments; in
this case, we’ve set the default
value of
votes
to 0.
Finally, note a relationship is defined, using
ForeignKey
. That tells Django each Choice
is
related to a single Question
. Django supports all the common database
relationships: many-to-one, many-to-many, and one-to-one.
That small bit of model code gives Django a lot of information. With it, Django is able to:
CREATE TABLE
statements) for this app.Question
and Choice
objects.But first we need to tell our project that the polls
app is installed.
Philosophy
Django apps are “pluggable”: You can use an app in multiple projects, and you can distribute apps, because they don’t have to be tied to a given Django installation.
To include the app in our project, we need to add a reference to its
configuration class in the INSTALLED_APPS
setting. The
PollsConfig
class is in the polls/apps.py
file, so its dotted path
is 'polls.apps.PollsConfig'
. Edit the mysite/settings.py
file and
add that dotted path to the INSTALLED_APPS
setting. It’ll look like
this:
INSTALLED_APPS = [
'polls.apps.PollsConfig',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
Now Django knows to include the polls
app. Let’s run another command:
$ python manage.py makemigrations polls
...\> py manage.py makemigrations polls
You should see something similar to the following:
Migrations for 'polls':
polls/migrations/0001_initial.py:
- Create model Choice
- Create model Question
- Add field question to choice
By running makemigrations
, you’re telling Django that you’ve made
some changes to your models (in this case, you’ve made new ones) and that
you’d like the changes to be stored as a migration.
Migrations are how Django stores changes to your models (and thus your
database schema) - they’re just files on disk. You can read the migration
for your new model if you like; it’s the file
polls/migrations/0001_initial.py
. Don’t worry, you’re not expected to read
them every time Django makes one, but they’re designed to be human-editable
in case you want to manually tweak how Django changes things.
There’s a command that will run the migrations for you and manage your database
schema automatically - that’s called migrate
, and we’ll come to it in a
moment - but first, let’s see what SQL that migration would run. The
sqlmigrate
command takes migration names and returns their SQL:
$ python manage.py sqlmigrate polls 0001
...\> py manage.py sqlmigrate polls 0001
You should see something similar to the following (we’ve reformatted it for readability):
BEGIN;
--
-- Create model Choice
--
CREATE TABLE "polls_choice" (
"id" serial NOT NULL PRIMARY KEY,
"choice_text" varchar(200) NOT NULL,
"votes" integer NOT NULL
);
--
-- Create model Question
--
CREATE TABLE "polls_question" (
"id" serial NOT NULL PRIMARY KEY,
"question_text" varchar(200) NOT NULL,
"pub_date" timestamp with time zone NOT NULL
);
--
-- Add field question to choice
--
ALTER TABLE "polls_choice" ADD COLUMN "question_id" integer NOT NULL;
ALTER TABLE "polls_choice" ALTER COLUMN "question_id" DROP DEFAULT;
CREATE INDEX "polls_choice_7aa0f6ee" ON "polls_choice" ("question_id");
ALTER TABLE "polls_choice"
ADD CONSTRAINT "polls_choice_question_id_246c99a640fbbd72_fk_polls_question_id"
FOREIGN KEY ("question_id")
REFERENCES "polls_question" ("id")
DEFERRABLE INITIALLY DEFERRED;
COMMIT;
Note the following:
polls
) and the lowercase name of the model – question
and
choice
. (You can override this behavior.)"_id"
to the foreign key field name.
(Yes, you can override this, as well.)FOREIGN KEY
constraint. Don’t worry about the DEFERRABLE
parts; that’s just telling
PostgreSQL to not enforce the foreign key until the end of the transaction.auto_increment
(MySQL), serial
(PostgreSQL), or integer
primary key autoincrement
(SQLite) are handled for you automatically. Same
goes for the quoting of field names – e.g., using double quotes or
single quotes.sqlmigrate
command doesn’t actually run the migration on your
database - it just prints it to the screen so that you can see what SQL
Django thinks is required. It’s useful for checking what Django is going to
do or if you have database administrators who require SQL scripts for
changes.If you’re interested, you can also run
python manage.py check
; this checks for any problems in
your project without making migrations or touching the database.
Now, run migrate
again to create those model tables in your database:
$ python manage.py migrate
Operations to perform:
Apply all migrations: admin, auth, contenttypes, polls, sessions
Running migrations:
Rendering model states... DONE
Applying polls.0001_initial... OK
...\> py manage.py migrate
Operations to perform:
Apply all migrations: admin, auth, contenttypes, polls, sessions
Running migrations:
Rendering model states... DONE
Applying polls.0001_initial... OK
The migrate
command takes all the migrations that haven’t been
applied (Django tracks which ones are applied using a special table in your
database called django_migrations
) and runs them against your database -
essentially, synchronizing the changes you made to your models with the schema
in the database.
Migrations are very powerful and let you change your models over time, as you develop your project, without the need to delete your database or tables and make new ones - it specializes in upgrading your database live, without losing data. We’ll cover them in more depth in a later part of the tutorial, but for now, remember the three-step guide to making model changes:
models.py
).python manage.py makemigrations
to create
migrations for those changespython manage.py migrate
to apply those changes to
the database.The reason that there are separate commands to make and apply migrations is because you’ll commit migrations to your version control system and ship them with your app; they not only make your development easier, they’re also usable by other developers and in production.
Read the django-admin documentation for full
information on what the manage.py
utility can do.
Now, let’s hop into the interactive Python shell and play around with the free API Django gives you. To invoke the Python shell, use this command:
$ python manage.py shell
...\> py manage.py shell
We’re using this instead of simply typing “python”, because manage.py
sets the DJANGO_SETTINGS_MODULE
environment variable, which gives Django
the Python import path to your mysite/settings.py
file.
Once you’re in the shell, explore the database API:
>>> from polls.models import Choice, Question # Import the model classes we just wrote.
# No questions are in the system yet.
>>> Question.objects.all()
<QuerySet []>
# Create a new Question.
# Support for time zones is enabled in the default settings file, so
# Django expects a datetime with tzinfo for pub_date. Use timezone.now()
# instead of datetime.datetime.now() and it will do the right thing.
>>> from django.utils import timezone
>>> q = Question(question_text="What's new?", pub_date=timezone.now())
# Save the object into the database. You have to call save() explicitly.
>>> q.save()
# Now it has an ID.
>>> q.id
1
# Access model field values via Python attributes.
>>> q.question_text
"What's new?"
>>> q.pub_date
datetime.datetime(2012, 2, 26, 13, 0, 0, 775217, tzinfo=<UTC>)
# Change values by changing the attributes, then calling save().
>>> q.question_text = "What's up?"
>>> q.save()
# objects.all() displays all the questions in the database.
>>> Question.objects.all()
<QuerySet [<Question: Question object (1)>]>
Wait a minute. <Question: Question object (1)>
isn’t a helpful
representation of this object. Let’s fix that by editing the Question
model
(in the polls/models.py
file) and adding a
__str__()
method to both Question
and
Choice
:
from django.db import models
class Question(models.Model):
# ...
def __str__(self):
return self.question_text
class Choice(models.Model):
# ...
def __str__(self):
return self.choice_text
It’s important to add __str__()
methods to your
models, not only for your own convenience when dealing with the interactive
prompt, but also because objects’ representations are used throughout Django’s
automatically-generated admin.
Let’s also add a custom method to this model:
import datetime
from django.db import models
from django.utils import timezone
class Question(models.Model):
# ...
def was_published_recently(self):
return self.pub_date >= timezone.now() - datetime.timedelta(days=1)
Note the addition of import datetime
and from django.utils import
timezone
, to reference Python’s standard datetime
module and Django’s
time-zone-related utilities in django.utils.timezone
, respectively. If
you aren’t familiar with time zone handling in Python, you can learn more in
the time zone support docs.
Save these changes and start a new Python interactive shell by running
python manage.py shell
again:
>>> from polls.models import Choice, Question
# Make sure our __str__() addition worked.
>>> Question.objects.all()
<QuerySet [<Question: What's up?>]>
# Django provides a rich database lookup API that's entirely driven by
# keyword arguments.
>>> Question.objects.filter(id=1)
<QuerySet [<Question: What's up?>]>
>>> Question.objects.filter(question_text__startswith='What')
<QuerySet [<Question: What's up?>]>
# Get the question that was published this year.
>>> from django.utils import timezone
>>> current_year = timezone.now().year
>>> Question.objects.get(pub_date__year=current_year)
<Question: What's up?>
# Request an ID that doesn't exist, this will raise an exception.
>>> Question.objects.get(id=2)
Traceback (most recent call last):
...
DoesNotExist: Question matching query does not exist.
# Lookup by a primary key is the most common case, so Django provides a
# shortcut for primary-key exact lookups.
# The following is identical to Question.objects.get(id=1).
>>> Question.objects.get(pk=1)
<Question: What's up?>
# Make sure our custom method worked.
>>> q = Question.objects.get(pk=1)
>>> q.was_published_recently()
True
# Give the Question a couple of Choices. The create call constructs a new
# Choice object, does the INSERT statement, adds the choice to the set
# of available choices and returns the new Choice object. Django creates
# a set to hold the "other side" of a ForeignKey relation
# (e.g. a question's choice) which can be accessed via the API.
>>> q = Question.objects.get(pk=1)
# Display any choices from the related object set -- none so far.
>>> q.choice_set.all()
<QuerySet []>
# Create three choices.
>>> q.choice_set.create(choice_text='Not much', votes=0)
<Choice: Not much>
>>> q.choice_set.create(choice_text='The sky', votes=0)
<Choice: The sky>
>>> c = q.choice_set.create(choice_text='Just hacking again', votes=0)
# Choice objects have API access to their related Question objects.
>>> c.question
<Question: What's up?>
# And vice versa: Question objects get access to Choice objects.
>>> q.choice_set.all()
<QuerySet [<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]>
>>> q.choice_set.count()
3
# The API automatically follows relationships as far as you need.
# Use double underscores to separate relationships.
# This works as many levels deep as you want; there's no limit.
# Find all Choices for any question whose pub_date is in this year
# (reusing the 'current_year' variable we created above).
>>> Choice.objects.filter(question__pub_date__year=current_year)
<QuerySet [<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]>
# Let's delete one of the choices. Use delete() for that.
>>> c = q.choice_set.filter(choice_text__startswith='Just hacking')
>>> c.delete()
For more information on model relations, see Accessing related objects. For more on how to use double underscores to perform field lookups via the API, see Field lookups. For full details on the database API, see our Database API reference.
Philosophy
Generating admin sites for your staff or clients to add, change, and delete content is tedious work that doesn’t require much creativity. For that reason, Django entirely automates creation of admin interfaces for models.
Django was written in a newsroom environment, with a very clear separation between “content publishers” and the “public” site. Site managers use the system to add news stories, events, sports scores, etc., and that content is displayed on the public site. Django solves the problem of creating a unified interface for site administrators to edit content.
The admin isn’t intended to be used by site visitors. It’s for site managers.
First we’ll need to create a user who can login to the admin site. Run the following command:
$ python manage.py createsuperuser
...\> py manage.py createsuperuser
Enter your desired username and press enter.
Username: admin
You will then be prompted for your desired email address:
Email address<EMAIL_ADDRESS>The final step is to enter your password. You will be asked to enter your password twice, the second time as a confirmation of the first.
Password: **********
Password (again): *********
Superuser created successfully.
The Django admin site is activated by default. Let’s start the development server and explore it.
If the server is not running start it like so:
$ python manage.py runserver
...\> py manage.py runserver
Now, open a Web browser and go to “/admin/” on your local domain – e.g., http://<IP_ADDRESS>:8000/admin/. You should see the admin’s login screen:
Since translation is turned on by default, the login screen may be displayed in your own language, depending on your browser’s settings and if Django has a translation for this language.
Now, try logging in with the superuser account you created in the previous step. You should see the Django admin index page:
You should see a few types of editable content: groups and users. They are
provided by django.contrib.auth
, the authentication framework shipped
by Django.
But where’s our poll app? It’s not displayed on the admin index page.
Just one thing to do: we need to tell the admin that Question
objects have an admin interface. To do this, open the polls/admin.py
file, and edit it to look like this:
from django.contrib import admin
from .models import Question
admin.site.register(Question)
Now that we’ve registered Question
, Django knows that it should be displayed on
the admin index page:
Click “Questions”. Now you’re at the “change list” page for questions. This page displays all the questions in the database and lets you choose one to change it. There’s the “What’s up?” question we created earlier:
Click the “What’s up?” question to edit it:
Things to note here:
Question
model.DateTimeField
,
CharField
) correspond to the appropriate HTML
input widget. Each type of field knows how to display itself in the Django
admin.DateTimeField
gets free JavaScript
shortcuts. Dates get a “Today” shortcut and calendar popup, and times get
a “Now” shortcut and a convenient popup that lists commonly entered times.The bottom part of the page gives you a couple of options:
If the value of “Date published” doesn’t match the time when you created the
question in Tutorial 1, it probably
means you forgot to set the correct value for the TIME_ZONE
setting.
Change it, reload the page and check that the correct value appears.
Change the “Date published” by clicking the “Today” and “Now” shortcuts. Then click “Save and continue editing.” Then click “History” in the upper right. You’ll see a page listing all changes made to this object via the Django admin, with the timestamp and username of the person who made the change:
When you’re comfortable with the models API and have familiarized yourself with the admin site, read part 3 of this tutorial to learn about how to add more views to our polls app.
Oct 01, 2019


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{% extends "html/base.html" %} {% load url from future %} {# An example chat window #} {% block head_title %}Chat Client{% endblock %} {% block extra_head %} {% endblock %} {% block body %}
This page shows the basic client. For an example of how to extend it, see here.


SHINE 1996 A film review by Timothy Voon Copyright 1997 Timothy Voon
Cast: Geoffrey Rush, Armin Mueller-Stahl, Noah Taylor, Lynn Redgrave, Googie Withers, John Gielgud, Sonia Todd, Alex Rafalowicz, Nicholas Bell Director: Scott Hicks Screenplay: Jan Sardi based on a story by Scott Hicks
"Practice makes perfect", my mother always told me, but did I listen to her?  Boy did I get a hiding that day, not so much for refusing to play the piano, but for calling the piano numerous degenerate names, and in the midst of the abuse including the much revered composers Chopin, Mozart and Bach. You will be relieved to hear that my appreciation for classical music has improved with time.
I was never a truly talented musician to begin with. My idea of piano playing was 'slam the keys, make some noise, forget about timing, and use those foot pedals for muscle toning'. So when faced with a talent like David Helfgott, one cannot help but be amazed at how a human soul can transform that hated instrument into the harp of the gods. Play, David, play.
My mother took piano playing pretty seriously, but I can say without a doubt David's father was obsessive. My one qualm with the movie is with him: 'I love you David (shove). I really do (hit). You know I love you David (whack). If you go David, I won't love you any more (punch). Did I hurt you David? (kick). Remember David, you will survive, life goes on.'
It isn't clearly explained in the movie whether David Helfgott's main psychiatric illness was schizophrenia, or a major depressive disorder. The viewers are left with a picture of a young David receiving electro-convulsive therapy to the brain, post playing 'Rachmaninov'. No particular event or reason is given, but one can only conclude that it was a combination of loneliness, the manipulative and emotional wranglings of his father, and that unusual spirit which is David Heffgot.
This is undoubtedly a moving tale of love of music, and survival of parent guilt. Painful to watch because of the destructive paternal instincts of David's father, who wished the best for his son, but also needed to bathe in his prodigy child's glory. So when the fledgling talent decides to spread his own wings, the control freak parent panics that he will lose his one claim to fame. Thus reacting in an un-fatherly manner which forever scars his child's life. A sensitive portrayal of David Helfgott by Geoffrey Rush and a well deserved Oscar.
So my tale ends with my brother and sister, who were not so disobedient as I, 'shining' at every local piano competition, winning every 'glittered' prize. Though I didn't quite get my opportunity to 'shine' as a child, at least I knew what I didn't want to do. So the child which was Tim Voon, enjoyed the rest of his youthful days, without that peculiar instrument in his life; and as for the beating my mother did give me, thank God it hasn't left me with rapid speech; and as David's father would say 'you will survive, life goes on' - without that damned finger-twitching, precise metronoming, endless scaling, piano.
Talent Feel Scale: 0% Clyderman / *HEFGOTT* / Amadeus 100%
Timothy Voon e-mail<EMAIL_ADDRESS>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


Hi, welcome to my website! My name is Thomas Ice, and I am a software developer who is enthusiastic when it comes to creating software solutions for both mobile and desktop platforms. My ability to problem solve, lead development projects, and manage team members has helped defense contractors, law firms, and universities alike. Feel free to browse my site and check out my résumé to see if my keen attention to detail, sleek user interface design, and code management practices could help benefit your company.
With a background in embedded systems programming, mobile application design, and front end development, I have acquired a handful of technical skills throughout my career. These skills continue to evolve as I learn and grow as a developer.
I consider myself a lifelong student who is constantly striving to learn new things, and my value of overall knowledge has helped drive me to explore the world around me. Traveling abroad and studying Japanese have been just a few of the many things that have helped hone my critical thinking and communication skills. My passion for education continues to grow as I explore the globe.
In August 2014, I received my Bachelor of Science degree in Information Technology at Florida State University's College of Communication and Information. While attending this university, I learned communication, design, and project management skills that have been invaluable when it comes to designing software that is tailored to the end user.
In December 2012, I obtained my Associate in Arts degree at Indian River State College. During this time, I studied a plethora of disciplines to expand my knowledge base. These subjects ranged from computer science and networking to medicine and nursing. Thanks to this college, I gained critical thinking skills, developed public speaking techniques, and enhanced my experience when it came to working with people.
As I develop different skills, I like to find various ways on how to apply them. When I learned how to read, write, and speak Japanese, I began working as a freelance translator who would translate everything from websites to TV shows to video games. During my off time, I enjoyed assisting with things such as cultural events, language studies, and computer science tutoring. I take pride in being able to give back to the community in whatever way I can.
VES LLC is a small group of talented engineers dedicated to providing custom government off the shelf (GOTS) infrastructure solutions for the military. At VES LLC, we specialize in custom Linux OS development, military-grade Android service development, secure strategies for handling containerization, and integrating DoD cyber security policies. Customers include PD Main Battle Tank Systems, PM Mission Command, Joint Acquisition Task Force, and more.
General Dynamics prides itself on consistently remaining one of the top land defense companies across the world. While at GDLS, I was a member of the Board Support team, leading the department's transition from an enterprise Linux to a custom embedded distribution on the latest Abrams SEPv3 ECP1a and Stryker DVHA vehicles, as well as the vxWorks Board Support Engineer for the SEPv2 platform. Before that, I personally led the transition from legacy version control systems to Git, improving build tools along the way, and created efficient underlying architecture to enhance build times. While on SCM, we successfully employed Agile methodology to help with the dynamic and ever-changing build requirements our customers required of us.
Here at ZenBanx, we strive to make worldwide mobile banking easy and intuitive. Improving geolocation, creating API tests, working on production code, learning Apache Cordova and dealing with JIRA issues were just a few of the things I had to tackle while working here. On top of that, I had the opportunity to learn and work with production code that utilized Bootstrap and Backbone.js. This company's technology was deemed a huge success, and they were recognized by Social Finance (SoFi) who eventually acquired them in 2017.
During my time at FSU, I had a school IT project as a software developer and co-project manager. For this particular project, I assisted with developing a Java application that authorized users against a MySQL database and LDAP server, implemented PAM for authentication of local users, and documented the process as a co-project manager for my project sponsor. Working on this project has taught me the importance of planning and proper time management in order to meet the sponsor's goals within a specific deadline, and this project also gave me invaluable experience working with the Agile methodology.
While employed at Lance P. Richard's law firm, I worked as a technical support specialist who assisted with computer troubleshooting, network configuration, and training. Installing a VoIP phone setup throughout the office and assisting with off-site support were just a few of my tasks while working here. Thanks to my time at this firm, I learned how to assist employees with troubleshooting technology remotely, and I was able to lead a successful programming project during an office transition.
Inspired by a famous mobile game written in C++ and using cocos2d-x for cross-platform compatibility
GitHub SourceUsed Apple's MVC design pattern and Storyboards in order to create a mobile app wiki and photo viewer in Obj-C
GitHub SourceThis very site was hand written using HTML5, CSS3, Bootstrap 4.x, and Font Awesome
GitHub SourceCross-platform USB controller that contains built-in storage for portability. A Teensy 2.0 microcontroller handles all IO
GitHub Source


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
HIGH COURT OF JUDICATURE FOR RAJASTHAN AT JODHPUR S.B. Civil Writ Petition No. 3025 / 2017 M/s Rahul Texo Print, Raika Bagh Industrial Area, Through Its Proprietor Mr. Vinod Kumar Singhvi S/o Sh. Gautamchand Singhvi,, R/o Rohit Complex, Ward No. 7, Maliyon Ka Bas, Ummedpura, Balotra-344022. ----Petitioner Versus 1. Jodhpur Vidyut Vitran Nigam Ltd. Jodhpur Through Its Chairman & Managing Director,, New Power House Road, Jodhpur. 2. The Assistant Engineer (Rural),, Jodhpur Vidhyut Vitran Nigam Ltd., Balotra, District Barmer. 3. Rajasthan State Pollution Control Board Through Its Regional Officer, Balotra, District Barmer 4. District Collector, Barmer. 5. S.D.O., Balotra, District Barmer ----Respondents _____________________________________________________ For Petitioner(s) : Mr.Sandeep Shah For Respondent no1. & 2 : Mr.J.S.Solanki For Respondent no.3 : Mr.Manish Shishodia For Respondents no.4 & 5 : Mr.O.P.Boob _____________________________________________________ HON'BLE MR. JUSTICE SANGEET LODHA Judgment 11/05/2017 1. By way of this writ petition, the petitioner has challenged the action of the Sub Divisional Officer, Balotra in directing Jodhpur Vidhyut Vitran Nigam Limited (JVVNL), to disconnect the electricity supply of the petitioner inasmuch as, on the spot inspection, leakage/seepage was found in the gutter/drain built of RCC adjacent to the wall inside the industry. (2 of 4) [CW-3025/2017] 2. Precisely, the case of the petitioner is that after carrying out the repairs, the minor leakage found already stand sealed, which stands verified by the inspecting team of Rajasthan State Pollution Control Board (RSPCB), Balotra yet, the electricity supply of the petitioner is not being restored by the respondents. 3. Aggrieved by the action of the respondents, the petitioner had earlier filed an appeal before the National Green Tribunal (NGT), Principal Bench, New Delhi, however, the same was dismissed by the NGT observing that since no written order has been passed by the authority concerned under Section 33A of the Water (Prevention and Control of Pollution) Act, 1974 and therefore, the jurisdiction of the Tribunal under Section 16 of the NGT Act, 2010, cannot be invoked. Hence, this petition. 4. A reply to the writ petition has been filed by the respondent no.4 & 5 taking the stand that on the spot inspection by the team of RSPCB, the leakage/seepage was found in the gutter/drain constructed by RCC adjacent to the wall in the petitioner industry and therefore, the action of the respondents in directing disconnection of the electricity supply of the petitioner is absolutely justified. The action taken is sought to be justified by the RSPCB on the strength of the directions issued by the NGT, Principal Bench, New Delhi, by way of order dated 1.9.15 passed in Original Application No.34(thc)/2014. However, it is not disputed on behalf of the RSPCB that the small leakage/seepage found, after repair carrying out by the petitioner stands sealed. 5. Learned counsel appearing for the petitioner contended that after carrying out the necessary repairs, the leakage/seepage (3 of 4) [CW-3025/2017] found having been sealed, there is no reason why the electricity supply of the petitioner should not be restored. Learned counsel urged that the petitioner is operating its own Effluent Treatment Plant (ETP) and RO Plant which are functional and therefore, no water pollution whatsoever is likely to be caused by the petitioner industrial unit if it is permitted to operate. Learned counsel submitted that the action of the respondents in not restoring the electricity supply and permitting the petitioner to operate its industry, is ex facie illegal and arbitrary. 6. The counsel appearing for the respondents submitted that on account of the leakage/seepage found, the electricity supply of the petitioner unit was rightly directed to be disconnected, however, it is fairly not disputed by the counsel appearing for the respondents that as per report of RO, RSPCB, Balotra submitted after fresh inspection made, the leakage point was found repaired and permanently blocked by cement mixed material and the internal drain was also found dry. That apart, no outlet was observed inside/outside the industry premises. 7. On being asked by the court that if the necessary repairs have been carried out and no leakage/seepage persists then why the electricity supply has not been restored, the learned counsel appearing for the respondents had no answer. 8. It is to be noticed that the petitioner industrial unit is operating its own ETP and RO Plant and thus, but for the leakage/seepage noticed as above, no effluent was being discharged by the petitioner outside the industrial premises. It is not in dispute that after necessary repairs being carried out by the (4 of 4) [CW-3025/2017] petitioner industrial unit, the leakage/seepage stand sealed and no effluent is being discharged by the petitioner unit outside the industrial premises. In this view of the matter, the respondents are not justified in continuing with the disconnection of the electricity supply of the petitioner in respect whereof no written order was passed at any point of time. 9. In the result, the petition is allowed. The respondents are directed to restore the electricity supply of the petitioner forthwith. However, it is made clear that on the petitioner industrial unit being made operational after restoration of the electricity supply, if it is found discharging effluent outside the industrial unit or any leakage/seepage is noticed, the respondents shall be at liberty to take appropriate action in accordance with law. No order as to costs. (SANGEET LODHA), J.
aditya/


Tmain: a facility for testing main part¶
- Maintainer
Masatake YAMATO<EMAIL_ADDRESS>Tmain is introduced to test the area where Units does not cover well.
Units works fine for testing parsers. However, it assumes something input is given to ctags command, and a tags file is generated from ctags command.
Other aspects cannot be tested. Such areas are files and directories layout after installation, standard error output, exit status, etc.
You can run test cases with following command line:
$ make tmain
Tmain is still under development so I will not write the details here.
To write a test case, see files under Tmain/tmain-example.d. In the example, Tmain does:
runs new subshell and change the working directory to Tmain/tmain-example.d,
runs run.sh with bash,
captures stdout, stderr and exit status, and
compares them with stdout-expected.txt, stderr-expected.txt, and exit-expected.txt.
compares it with tags-expected.txt if run.sh generates tags file.
run.sh is run with following 3 arguments:
the path for the target ctags
the path for builddir directory
the path for the target readtags
The path for readtags is not reliable; readtags command is not available if --disable-readcmd was given in configure time. A case, testing the behavior of readtags, must verify the command existence with test -x $3 before going into the main part of the test.
When comparing tags file with tags-expected.txt, you must specify the path of tags explicitly with -o option in ctags command line like:
CTAGS=$1
BUILDDIR=$2
${CTAGS} ... -o $BUILDDIR/tags ...
This makes it possible to keep the original source directory clean.
See also tmain_run and tmain_compare functions in misc/units.
If run.sh exits with code 77, the test case is skipped. The output to stdout is captured and printed as the reason of skipping.
TODO¶
Run under valgrind


Getting Started
•
Go to the following Studio
–
http://scratch.mit.edu/studios/626268
•
Open the
Space Invaders Template
project
•
Click
See Inside
•
Click
Remix
•
See Inside
your own copy
•
You now have the backdrops, sprites and
variables to get started
•


I love Web Development, but I have slowly morphed into a Data Scientist too.
I look forward to working with you to help met all your Front End Web Developer needs.
I love Web Development, but I have slowly morphed into a Data Scientist too.
I look forward to working with you to help met all your Front End Web Developer needs.
Front End Web Developer Nanodegree program is to equip learners with the unique skills they need to build and develop responsive websites and applications. The program includes 5 courses and 7 projects.
Issue Date:Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to challenges like image classification and generation, time-series prediction, and model deployment.
Issue Date:Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.
Issue Date:A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data.
Issue Date:Lorem ipsum, dolor sit amet consectetur adipisicing elit. Temporibus quisquam voluptates vel corporis quidem omnis perferendis fuga. Ipsum, error, incidunt ducimus voluptate eius quae illum odit deserunt excepturi voluptatum repellendus?
Lorem ipsum dolor sit amet consectetur adipisicing elit. Ad aperiam consectetur cum error consequuntur delectus quod reiciendis labore natus eius. Alias tempore optio ab. Impedit laboriosam deserunt esse facere velit?


Hosted by the Algorithmic Foundations of Data Science Institute
University of Washington
Jointly organized with IFDS, University of Wisconsin - Madison
| Emo Todorov University of Washington |
Pablo Parrilo Massachusetts Institute of Technology |
||
| Alekh Agarwal Microsoft Research Sample-Efficient Exploration in Reinforcement Learning with Rich Observations |
Csaba Szepesvári University of Alberta Politex - Towards Stable and Efficient Reinforcement Learning Algorithms that Generalize |
||
| Mengdi Wang Princeton University Reinforcement Learning From Small Data in Feature Space |
Necmiye Ozay University of Michigan Non-Asymptotic Analysis of a Classical System Identification Algorithm |
||
| Ben Recht University of California, Berkeley Characterizing Uncertainty in Perception for Control |
Yishay Mansour Tel Aviv University Linear Quadratic Control and Online Learning |
||
| Emma Brunskill Stanford University Batch / Counterfactual Reinforcement Learning |
Yinyu Ye Stanford University Further Developments on Online Linear Programming and Learning |
||
| Daniel Russo Columbia University Exploration via Randomized Value Functions |
Byron Boots Georgia Institute of Technology An Online Learning Approach to Model Predictive Control |
||
| Vikash Kumar Google Brain |
| 9:00-9:45 | Lecture: Yinyu Ye |
| 9:45-10:30 | Lecture: Mengdi Wang |
| 10:30-11:00 | Break |
| 11:00-11:45 | Lecture: Ben Recht |
| 11:45-1:30 | Lunch |
| 1:30-2:15 | Lecture: Alekh Agarwal |
| 2:15-3:00 | Lecture: Daniel Russo |
| 3:00-3:30 | Break |
| 3:30-4:30 | Discussion Session |
| 4:30-6:30 | Poster Session & Reception |
| 9:00-9:45 | Lecture: Yishay Mansour |
| 9:45-10:30 | Lecture: Emo Todorov |
| 10:30-11:00 | Break |
| 11:00-11:45 | Lecture: Emma Brunskill |
| 11:45-1:30 | Lunch |
| 1:30-2:15 | Lecture: Necmiye Ozay |
| 2:15-3:00 | Lecture: Pablo Parrilo |
| 3:00-3:30 | Break |
| 3:30-4:30 | Discussion Session |
| 9:00-9:45 | Lecture: Byron Boots |
| 9:45-10:30 | Lecture: Vikash Kumar |
| 10:30-11:00 | Break |
| 11:00-11:45 | Lecture: Csaba Szepesvári |
| 11:45-1:30 | Lunch |


Opponents of Na Pua Makani wind farm project appear at court arraignments | Honolulu Star-Advertiser
More than 30 people who oppose the Na Pua Makani wind farm project in Kahuku appeared at their arraignments in court today after all were arrested for disobeying a police officer when they tried to prevent large trucks carrying turbine parts to depart a baseyard in Kalaeloa in mid-October.
Many who appeared before Judge Sherri Iha at Waianae District Court, Kapolei Court Complex were represented by attorney Aaron Wills.
Disobeying a police officer is considered a petty misdemeanor that carries penalties of up to 30 days in jail, $1,000 fine and up to a year of probation.
Deputy prosecutor Pearl Tamayo offered a deal to protesters to amend the offense to an obstruction violation.
A majority of the 21 protesters Wills represented accepted the state’s deal, and pleaded no contest to an obstruction violation. The judge ordered many of the protesters to pay a $100 fine. Higher fines were imposed to a few who were arrested more than once.
The two or three remaining people Wills represented pleaded not guilty to disobeying a police officer. Their trial date has been set for January.
Another attorney, Melvin Masuda, represented several other protesters who appeared in court today and more than five protesters represented themselves.
Virginia-based AES Corp. is building eight wind turbines which are slated to start operating next year. Each turbine is 568 feet tall.
Opponents of the wind farm project say the turbines lead to health problems and are too close to homes, farms and schools. Demonstrators also say the turbines threaten the endangered Hawaiian hoary bat.
AES contend the turbines will have no health effects.


Online Demo Gallery
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Select a Range in the Costs and Revenues History


Matterhorn: 2 Deaths
On May 15, 1964, a 15-year-old boy from Long Beach, California was injured after he stood up in the Matterhorn Bobsleds and fell out. It was reported that his restraint was undone by his ride companion. He died three days later as a result of those injuries. This was Disneyland's first fatality.
On January 3, 1984, a 48-year-old woman was killed and decapitated when she was thrown from a Matterhorn bobsled car and struck by the next oncoming bobsled. The spot where she was killed is now called "Dolly's Drop" by cast members. An investigation found that her seat belt was not buckled. It is unclear whether the victim deliberately unfastened her belt or if the seat belt malfunctioned.


DIY ART
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Scheduled events allow you to trigger code blocks for execution at specific times according to rules you set. This feature helps coordinate your algorithm activities and perform analysis at regular intervals; while letting the trading engine take care of market holidays.
The scheduling is set with two rules: the DateRules
and TimeRules
classes. The schedule manager takes one of each and executes an action code block.
Schedule.On(DateRules.On(2013, 10, 7), TimeRules.At(13, 0), () => { Debug("Specific Time: Fired at : " + Time); });
self.Schedule.On(self.DateRules.On(2013, 10, 7), self.TimeRules.At(13, 0), Action(self.SpecificTime)) def SpecificTime(self): self.Log("SpecificTime: Fired at : {0}".format(self.Time))
The date rules can be specified as below:
| Scheduled Events Date Rules | |
|---|---|
DateRules.On(2013, 10, 7) |
On a specific date |
DateRules.EveryDay("SPY") |
Every trading day for SPY |
DateRules.Every(DayOfWeek.Monday, ...) |
On specific days of week |
DateRules.EveryDay() |
Every day |
DateRules.MonthStart("SPY") |
SPY trading start of each month |
The time rules trigger specify when on the day the event should be triggered. They can be specified as below:
| Scheduled Events Time Rules | |
|---|---|
TimeRules.At(13, 0) |
At a specific time, 1:00pm |
TimeRules.AfterMarketOpen("SPY", 10) |
Run 10 minutes after market open for SPY |
TimeRules.BeforeMarketClose("SPY", 10) |
Run 10 minutes before market close for SPY |
TimeRules.Every(TimeSpan.FromMinutes(10)) |
Every 10 minutes during day specified |
For a demonstration see the tutorial video below:


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Kiki for the Future aim to bridge the gap in sexual health resources and education for the LGBTQIA+ community. Amanda works with the Kiki team doing project management and web development.
In 2020, Amanda managed the cosmetic renovation and sale of a condo in Hampden, Maine. She enjoyed the oppertunity to use her project management and design skills to build something tangible, and she learned lots of new skills along the way!
Amanda worked with the Introspective Systems team on the initial open source release for the xGraph platform. In addition to doing research and development work, Amanda provided technical writing support and created the xGraph documentation website.


{% extends "site_base.html" %} {% block head_title_base %}Log in Failure{% endblock %} {% block body_base %} Account Log in Failed We were unable to log you in. Please contact us. {% endblock %}
We were unable to log you in. Please contact us.


General support queries. User Guides: https://support.komodoplatform.com/ Support staff: Angelina#6231 gcharang#6833. If you want to ask JL777 a question, use the #ask-jl777 channel.
error: Your local changes to the following files would be overwritten by checkout:
src/net.cpp
Please commit your changes or stash them before you switch branches.
Aborting
When an important update is implemented such as a notary node election, code fixes, or feature additions all miners must update in order to avoid forking or mining orphaned blocks. The process is similar to the installation process with the excep...
Komodo. Contribute to KomodoPlatform/komodo development by creating an account on GitHub.
gcharang16-Dec-19 07:23 AM
@house just delete the folder named "komodo"
and start the process
don't forget to backup your wallet.dat
Nicor16-Dec-19 09:12 AM
do know not where to go for help with Agama and ccminer. any help here
gcharang16-Dec-19 09:14 AM
@Nicor which coin are you mining and how is it related to agama?
Nicor16-Dec-19 09:15 AM
VerusCoin through miner built in wallet
Agama
up until this afternoon i was using ccminer, then something went wrong with it.
even Agama wallet seems to have gone haywire.
gcharang16-Dec-19 09:18 AM
@Nicor join the Verus Discord server: https://discord.gg/MGpnY5
they will be able to help you
there has been some updates and forks
there is info in their announcements channel
house16-Dec-19 11:25 AM
Thank you @gcharang
Da Rizzla16-Dec-19 05:39 PM
having major issues just trying to access wallet...says server is not reachable
hastrup16-Dec-19 06:09 PM
@Da Rizzla what version are you on?
Da Rizzla16-Dec-19 06:10 PM
the lastest
it says that it cant reach server
hastrup16-Dec-19 06:10 PM
what coin are you trying to reach?
Da Rizzla16-Dec-19 06:12 PM
vrsc
hastrup16-Dec-19 06:13 PM
i see
@Da Rizzla try asking in vrsc discord do you have there discord?(edited)


Train scheduler
"Keeping the line running smoothly - in real-time"
Current train schedule:
Train name
Destination
Frequency (min)
Next Arrival
Minutes Away
Create new train
Train name
Destination
First train time HH:mm (military time)
Frequency (min)


Mesos 0.17.0 Released, Featuring Autorecovery for the Replicated Log
The latest Mesos release, 0.17.0 was made available for download last week, introducing a new autorecovery feature for the replicated log that handles additional disk failure and operator error scenarios.
What is the replicated log?
The replicated log is a distributed append-only log that stores arbitrary data as entries. Replication comes into play as at least a quorum of log replicas are stored on different machines, protecting the data from individual disk or network failures. The replicated log uses the Paxos algorithm. We will describe additional implementation details in both an upcoming blog post and project documentation.
Mesos has had replicated log since version 0.9.0 and Apache Aurora, a framework used in production at Twitter, uses replicated log for its persistent storage. Additionally, the Mesos master will start using the replicated log to persist some cluster state with the introduction of the registrar.
New feature in Mesos 0.17.0: autorecovery
Before Mesos version 0.17.0, the replicated log could become inconsistent if a replica’s disk was replaced or the data was accidentally deleted by an operator. That meant that an operator couldn’t safely, or easily, replace a replica’s disk while the other replicas kept running. Instead, an operator had to stop all replicas, replace the disk, copy a pre-existing log, then restart all the replicas.
As of this release, a replica with a new disk can automatically recover without operator involvement. As long as a quorum of replicas are available, applications using the replicated log won’t notice a thing!
Future work
The new autorecovery feature enables replacing a single replica at a time, but it does not allow an operator to easily add or remove replicas, known as reconfiguration. You can follow MESOS-683 for the latest on this future work.


{% extends 'wl/emails/base_email.html' %} {% block content %}
You have an overdue return for Wildlife Licence:
{{ return.licence.licence_type.name }}
that was due on {{ return.due_date }}. To lodge the return, please follow the following URL:
Note: If you haven't been on the Wildlife Licensing site recently you might have to login first before using the provided link.
{% endblock %}


What started as an attempt to demonstrate how interrupts and grayscale rendering works on the TI series graphing calculators turned into a full-blown attempt at writing an emulator that would be runnable in a modern browser using a combination of Rust 🦀 and WebAssembly 🕸. The idea came to me while walking through the Rust + WebAssembly tutorial, where I realized that many of the same abstractions could apply to an emulated system.
I should note before you get any further that this is not a full guide to writing an emulator in Rust. I just wanted to document some interesting implementation details during my implementation, but this should (hopefully) act as a short “Getting Started” guide to point you in the right direction of your own emulator or if you just wanted to see what a Rust + WebAssembly project looks like.
Let's Play
I've embedded the emulator below so that you can try it out before reading any further. The keyboard for the CHIP-8 is represented by the 4x4 grid below.
Normal Keyboard CHIP8 Keyboard
| 1 | 2 | 3 | 4 | -> | 1 | 2 | 3 | C |
| Q | W | E | R | -> | 4 | 5 | 6 | D |
| A | S | D | F | -> | 7 | 8 | 9 | E |
| Z | X | C | V | -> | A | 0 | B | F |
Just select one of the ROMs from the dropdown menu, hit the play button and it'll start the emulator.
CHIP-8: Hello Emulator
To dip my toes into emulator development, I decided to start small. CHIP-8 is often considered the "Hello World" equivalent of emulator projects due to its simplicity, with only 35 instructions, simple keyboard input, and simple sound management.
The CHIP-8 was never actually a real chip/system and was developed to be more of a virtual machine that could be run on different microcomputers at the time. It nevertheless captures all the abstractions required for other emulator projects and offers a friendly dip into the emulator development world. Having existing emulators to compare with was also tremendously helpful to understand certain subtleties of the implementation.
Additionally, there are also tons of great resources that fully describe the instruction set and even walk you through an implementation:
- /r/EmuDev Subreddit
- Tremendously helpful just looking at old posts and seeing what others have done.
- Cowgod's Chip-8 Technical Reference
- Pretty much my go-to reference for each opcode that is implemented in the project.
- How to write an emulator (CHIP-8 Interpreter)
- I didn't delve into this blog post too much, but I did use it to compare certain implementation details that were giving me trouble.
Setup
If you've followed the Rust-Wasm Book tutorial already, the following commands will look familiar. I started the project by generating the project folder with everything necessary to get started:
# Generates the rust project folder
> cargo generate --git https://github.com/rustwasm/wasm-pack-template emu-project
# Go into the project directory to initialize the javascript project
> cd emu-project
> npm init wasm-app www
Keeping with the statically typed language theme, I wanted to use TypeScript for as much of the browser code as possible, which required a couple tweaks to the generated project:
- Added a
tsconfig.json
file to configure the TypeScript compiler. - Updated the
package.json
file to include TypeScript dev dependencies. - Updated the
webpack.config.js
file to compile TypeScript and hot module reload when it detects any changes.
As for the generated javascript files output by wasm-pack
, I couldn't
quite figure out how to also convert bootstrap.js
and index.js
files to
TypeScript so these are kept the same and will import the rest of the
application.
What do we need to emulate?
Outside of the instructions, we'll also need to emulate essential parts of the CHIP-8 system that are required to run a program.
- Various registers
- 15 8-bit general purpose registers.
- 1 8-bit carry register used as a “carry” flag during arithmetic.
- 1 8-bit stack pointer (often referred to as the
SP
register). - 1 16-bit program counter (often referred to as the
PC
register). - 1 16-bit index register.
- 4096 bytes of memory.
- 2048 bytes to represent the display, creating a 64 x 32 pixel display.
- This actually only needs to be represented as a 0 or 1, so an array of booleans would work as well.
- A sound & delay timer.
Most if not all of these can easily be represented by arrays of the the aforementioned types, all of which can be unsigned integers.
Execution Loop
At a high level, for successful emulation of the CHIP-8 system we want to correctly imitate every cycle of the CPU, keep track of any changes to the display/memory/registers, and finally handle any keyboard input.
If we had a function that would handle each tick
of the CPU, it would
look something very similar to the following:
1 fn tick(&mut self) {
2 // 1. Find the opcode pointed to by the `PC` register.
3 let opcode = self.fetch()
4 // 2. Fetch and decode the opcode.
5 // 3. Execute the opcode & update the `PC`.
6 self.execute(opcode);
7 }
This simple execution loop will form the basis for the rest of emulation
code. Most, if not all, of our logic will happen inside the execute
function, where each opcode will be decoded and applied to the
registers/memory/display.
What happens during fetch()
?
At a very high level, fetch returns a 16-bit instruction pointed to by the
PC
register and increments the PC
. The only “gotcha” here would how
instructions are stored in memory, most-significant byte
first. Taking this into account, the code to grab the opcode in the correct
byte order would like the following:
1 let opcode = u16::from(mem[pc]) << 8 | u16::from(mem[pc + 1]);
What happens during execute()
?
Like mentioned before, execute()
is where the majority of the logic for
the emulator will reside. In the case of my implementation, I break the
opcodes into different prefixes (0x1000
, 0x2000
, etc) and implemented the
logic for each corresponding prefix. For example, lets take the simple 0x00E0
opcode that is used to completely clear the screen:
1 // First, we grab the first bytes of the opcode as a prefix
2 let prefix = opcode & 0xF000;
3 // Grab the lower two bytes.
4 let lower = (opcode & 0x00FF) as u8;
5 match prefix {
6 // Match and handle 0x0xxx opcodes
7 0x0000 => {
8 match lower {
9 // Clear display.
10 0xE0 => {
11 for idx in 0..DISPLAY_SIZE {
12 self.display[idx] = 0;
13 }
14 }
15 }
16 },
17 // handle 0x1xxx opcodes
18 0x1000 => {},
19 // etc.
20 ...,
21 _ => log!("Unknown opcode {:#X}", opcode)
22 }
The opcode prefixes can be grabbed using a little bit-slinging magic that
you see at the top of the code example: opcode & 0xF000
. This bitwise AND
operation will only return the very first byte of the opcode. This made it
easy to write tests for each opcode, since instructions in the same prefix
tend to be related to each other.
Rendering the Display
While most of the opcodes implemented in execute()
tend to be only a
handful of lines, the most complex of the opcodes is used to draw sprites
to the screen. This single instruction handles reading a sprite stored in
memory, xor-ing it to display memory. Additionally, a flag is also set if
any pixels are erased, a feature is that is often used in programs for
collision detection.
The 64x32 pixel display has a coordinate system that starts at the top left and extends downwards:
┌─────────────────┐
│(0,0) (63,0)│
│ │
│(0,3) (63,31)│
└─────────────────┘
Sprites that cross horizontal/vertical boundaries are wrapped to the other
side. For example, if we have a sprite that starts at (63,0)
, the pixel
at (63,0)
will be set on and then wrapped around to (0,0)
, (1,0)
,
etc.
Handling Input
The CHIP-8 system uses a hex keypad, which is a little odd but can be
mapped easily to any 4x4 set of keys on modern day keyboards. All that
needs to be tracked is whether key is pressed and whether the key was the
last pressed key. This is accomplished by adding an event listener for the
keyup
and keydown
events, where the key press is sent to the emulator
for handling.
Here is an example of the handleKeyPress
code for both the typescript
and rust side. The typescript side needs a key map thats not shown
to map the pressed key code to the corresponding emulated key, discarding
all other key presses.
public handleKeyPress(ev: KeyboardEvent) {
if (ev.keyCode in KEY_MAP) {
this.engine.key_press(KEY_MAP[ev.keyCode]);
}
}
And for the rust side, we keep track of the currently pressed key as well as setting the key to pressed until we receive a release event for that key.
1 pub fn key_press(&mut self, key: Key) {
2 self.current_key = Some(key);
3 self.keys[key as usize] = true;
4 }
Up Next
And that's pretty much it! I could've gone into far much depth into things like the opcodes or perhaps the display rendering, but I leave that up as an exercise for the reader. All the code for this emulator will be publicly available along with the research and ROMs used during its development.
Note that at the time of this writing there are still currently some bugs with the more complex ROMs and potentially some speed improvements that could be done. I plan on fixing up the last remaining bugs w/ the emulator and implementing the basic sound handler.
The next emulator added to the mix will probably be a Z80 or NES emulator, a much larger emulation implementation but should be able to reuse many of the components created for this project.
You can follow progress on my emulator(s) development here.


Random sequence generation (selection bias) hh hO6m
Allocation concealment (selection bias) hi Es (Ge
Blinding of participants and personnel (performance bias) i Blinding of outcome assessment (detection bias) he Incomplete outcome data (attrition bias) ha
Selective reporting (reporting bias) he
other bis
-H—_4t--H—J-vH 0% 25% 50% 75% 100%
| 1] Low risk of bias L Unclear risk of bias || High risk of bias


With an agnostic technical vision and a strong capacity to adapt to various situations, I am able to manage and build digital projects and deliver them on-time. My entrepreneurial experience gave me the required skills to understand and deal with the miscellaneous contributor needs and expectations.
My experiences in Denmark, USA and Switzerland have given me a strong capacity to adapt to various situations and interlocutors. The human factor while managing a project is one of the key aspects.
There is not a good or a bad technology but a technology that fits the best the customer needs and requirements. I have no limit in terms of language : PHP, Java, .Net, NodeJS, Language D, VB.
Because the customer is the one that initiates and finances the project, I involve him as much as I can into the project cycle. A well-informed customer is definitively an ally to preserve.
I like new technologies, figure out how they work, their pros & cons. NoSQL (MongoDb, Redis) vs RDBMS (MySql, Sqlite, MsSql), PHP and Java Frameworks, hybrid techs, Front-end, Back-end...


Our final fit using boosted trees
For our third model, we decided to conduct a boosted trees regression model. This builds upon basic decision trees, which recursively split data into binary and homogeneous subgroups until reaching an optimum point in which the nodes cannot be split further. Each subgroup is split into what the algorithm thinks is the “best,” based on running all other possible splits on all variables.
To improve upon decision trees, ensemble methods aggregate across multiple decision trees in order to develop better models and predictions. Boosted trees (the ensemble method we are using) work by fitting multiple decision trees sequentially to the residuals of the previous model until reaching a stopping rule that ends the sequential model fitting. Although boosted trees mostly consist of “stumps,” or short trees with little data in each individual model, their ensemble output typically achieves high “out-of-the-box” performance, which is why we chose it for our final fit.
An important aspect of boosted trees is gradient descent, which is an optimization algorithm that compares predictions against a cost function to determine how steep the sequential models descend to reach the designated stopping point. For us, this stopping point will be the minimum value of RSME. The steepness of the descent is determined by the learning rate, or the size of steps we take at each model iteration.
You can also tune loss reduction, which specifies minimum loss required for further trees based on each prior tree’s complexity, and randomization.
First, we split the training file of the overall data into training and testing sets and set-up cross validation. Not shown below is that we are using only 5% of the training data, as it took too long for our model to run otherwise. This can be done by adding “sample_frac(.05)” when reading the data in (even with 5%, all these models took almost 8 hours to run!).
splt <- initial_split(data)
train <- training(splt)
cv <- vfold_cv(train)
Second, we write our recipe. This is the same as previous recipes used in prior models, see Preliminary Fit 1 for more information.
rec <- recipe(score ~ ., train) %>%
step_mutate(tst_dt = as.numeric(lubridate::mdy_hms(tst_dt))) %>%
update_role(contains("id"), ncessch, new_role = "id vars") %>%
step_nzv(all_predictors(), freq_cut = 0, unique_cut = 0) %>%
step_novel(all_nominal()) %>%
step_unknown(all_nominal()) %>%
step_medianimpute(all_numeric(), -all_outcomes(), -has_role("id vars")) %>%
step_dummy(all_nominal(), -has_role("id vars")) %>%
step_nzv(all_predictors())
Third, we set-up our model. For boosted trees, we are using the “xgboost” engine. We use “set_mode” to tell our model that we are running a regression.
mod <- boost_tree() %>%
set_engine("xgboost", nthreads = parallel::detectCores()) %>%
set_mode("regression")
We then add our model to a workflow. This will be helpful as we change our model by tuning different hyperparameters throughout the model fitting process, as we can simply update this workflow with that information as opposed to starting from scratch.
wf_df <- workflow() %>%
add_recipe(rec) %>%
add_model(mod)
In this model, we set our number of trees at 6000, stop iterations at 20, and validation at 0.2. We picked a large number of trees because boosted trees are shallow models, so, to get a better fit, they need a larger number trees.
We started tuning between .005 to .3 because smaller learning rates are seen as better and this range is a suggested starting point. You can see that we established tuning by telling our model that “learn_rate” is set to “tune()” and then providing the tuning range through “expand.grid.”
We can then run our first model! You can see how long the model takes by adding “tic()” and “toc()” around the model. This model took 6078.83 seconds.
tune_lr <- mod %>%
set_args(trees = 6000,
learn_rate = tune(),
stop_iter = 20,
validation = 0.2)
wf_tune_lr <- wf_df %>%
update_model(tune_lr)
grd <- expand.grid(learn_rate = seq(0.005, 0.3, length.out = 15))
tic()
tune_tree_lr <- tune_grid(wf_tune_lr, cv, grid = grd, control = tune::control_resamples(verbose = TRUE, save_pred = TRUE))
toc()
Then we looked at the output and found the best value from the model. We assessed “best” by looking for the lowest RSME score, which was 91.5 in this model at a learning rate of 0.005.
collect_metrics(tune_tree_lr)
show_best(tune_tree_lr, "rmse")
We decided to plot this output to see if we need to tune learning rate again. After looking at the plot, we decided to try an even smaller learning rate, as our best value was at the bottom of the range we used.
to_plot <- tune_tree_lr %>%
unnest(.metrics) %>%
group_by(.metric, learn_rate) %>%
summarize(mean = mean(.estimate, na.rm = TRUE)) %>%
filter(learn_rate != 0.0001)
highlight <- to_plot %>%
filter(.metric == "rmse" & mean == min(mean)) %>%
ungroup() %>%
select(learn_rate) %>%
semi_join(to_plot, .)
ggplot(to_plot, aes(learn_rate, mean)) +
geom_point() +
geom_point(color = "#de4f69", data = highlight) +
facet_wrap(~.metric, scales = "free_y") +
theme_minimal() +
labs(title = "RSME and RSQ after tuning learning rate",
subtitle = "Best learning rate indicated by red point",
x = "Learn rate",
y = "Mean")
The code below is very similar to the last model, with the only difference being that we lowered our range in expand.grid for learning rate to vary between 0.0001 to 0.1.
tune_lr2 <- mod %>%
set_args(trees = 6000,
learn_rate = tune(),
stop_iter = 20,
validation = 0.2)
wf_tune_lr <- wf_df %>%
update_model(tune_lr2)
grd <- expand.grid(learn_rate = seq(0.0001, 0.1, length.out = 15))
tic()
tune_tree_lr2 <- tune_grid(wf_tune_lr, cv, grid = grd, control = tune::control_resamples(verbose = TRUE, save_pred = TRUE))
toc()
This model took 5720.34 seconds to run. The results below demonstrate that this did not result in a better RSME score, with the lowest score being 93.0 at a learning rate of .00724. Therefore, we decided to build the next model using the learning rate that lead to the lowest RSME score in the previous fit.
collect_metrics(tune_tree_lr2)
show_best(tune_tree_lr2, "rmse")
In the code below, you can see that we told our model to use the learning rate that lead to the best RSME in our first model using this code:
finalize_model(select_best(tune_tree_lr, “rmse”))
We then set “tree_depth” and “min_n” to tune and updated our workflow. To tune both values, we used default ranges in tree_depth and min_n, but told “grid_max_entropy” to pick 30 of those values per fold.
tune_depth <- tune_lr %>%
finalize_model(select_best(tune_tree_lr, "rmse")) %>%
set_args(tree_depth = tune(),
min_n = tune())
wf_tune_depth <- wf_df %>%
update_model(tune_depth)
grd <- grid_max_entropy(tree_depth(), min_n(), size = 30)
tic()
tune_tree_depth <- tune_grid(wf_tune_depth, cv, grid = grd, control = tune::control_resamples(verbose = TRUE, save_pred = TRUE))
toc()
In the following results, you can see the best RSME was 87.7 at a tree depth of 2 and minimum n of 14. This model took 15551.17 seconds to run, over 4 hours!
Note: We had to re-run these results because we forgot to take a screenshot of our previous tree depth model results after the first 8 hour run. In those results, the best model had an n of 38 and a depth of 1 and an RSME somewhere in 88. We based the following randomness model on that tree depth of 1. We re-ran these results overnight and did not see the difference until the entire analysis was completed. If we had, we would have continued with this model informing our randomness model and (as you will see later) as our overall best model.
collect_metrics(tune_tree_depth)
show_best(tune_tree_depth, "rmse")
We then decided to tune loss reduction by again setting that parameter to tune within the the set_args() function of the model and defined the range in expand.grid to be from 0 to 100 with intervals of 5. We took the best parameters from the last model, but manually set tree_depth to 1 based on a prior model we had run (see note after tree depth model for explanation).
tune_loss <- tune_depth %>%
finalize_model(select_best(tune_tree_depth, "rmse")) %>%
set_args(loss_reduction = tune(),
tree_depth = 1)
wf_tune_reg <- wf_df %>%
update_model(tune_loss)
grd <- expand.grid(loss_reduction = seq(0, 100, 5))
tic()
tune_tree_reg <- tune_grid(wf_tune_reg, cv, grid = grd, control = tune::control_resamples(verbose = TRUE, save_pred = TRUE))
toc()
As can be seen in the output below, tuning loss reduction actually worsened the results. Thus, we decided to ignore this model and do the next model using the best output from when we tuned tree depth and minimum n. This model took 1581.2 seconds.
collect_metrics(tune_tree_reg)
show_best(tune_tree_reg, "rmse")
# no improvement on last model
We selected the best parameters from when we tuned tree depth and minimum n, then tuned randomness by setting mtry and sample_size to tune() and using grid_max_entropy to define this tuning. By using finalize with mtry, mtry will automatically look at all our predictors because we are finalizing it with our recipe and data. We then tell sample_size that we only want it to look at proportion.
tune_rand <- tune_loss %>%
finalize_model(select_best(tune_tree_reg, "rmse")) %>%
set_args(mtry = tune(),
sample_size = tune())
wf_tune_rand <- wf_df %>%
update_model(tune_rand)
grd <- grid_max_entropy(finalize(mtry(), juice(prep(rec))),
sample_size = sample_prop(),
size = 30)
tic()
tune_tree_rand <- tune_grid(wf_tune_rand, cv, grid = grd,control = tune::control_resamples(verbose = TRUE, save_pred = TRUE))
toc()
This model took 2683.02 seconds to run. The below code showed that the best model had an RSME of 88.2 at an mtry of 23 and a sample_size of 0.217. Due to the fact that this model lead to our best results on our first run through with 5% of the data, we used this data for our predictions (see note under loss reduction for more explanation).
collect_metrics(tune_tree_rand)
show_best(tune_tree_rand, "rmse")
You can see the output of this tuning model in the below plot, with the best values plotted in red.
to_plot_rand <- tune_tree_rand %>%
unnest(.metrics) %>%
group_by(.metric, mtry, sample_size) %>%
summarize(mean = mean(.estimate, na.rm = TRUE)) %>%
filter(.metric == "rmse") %>%
ungroup() %>%
pivot_longer(cols = c(mtry, sample_size),
names_to = "tuning_param",
values_to = "tuning_val")
highlight_rand <- to_plot_rand %>%
filter(mean == min(mean))
ggplot(to_plot_rand, aes(tuning_val, mean)) +
geom_point() +
geom_point(color = "#de4f69", data = highlight_rand) +
facet_wrap(~tuning_param) +
labs(title = "Mean RSME after tuning randomness using mtry and sample size",
subtitle = "Best RMSE identified by red point",
x = "Tuning value",
y = "Mean") +
theme_minimal()
Now that we have a model we like and seems to be the lowest we are going to get after tuning the most important parameters of a boosted tree model, we are going to set it up to get predictions for the test set. To do this, we select our best model based on RSME from the randomness tuning model, then we finalize our model and recipe. We then apply our final recipe to the whole training set using prep() and bake(), before doing the same with our true test dataset. We have to read in the final testing dataset here because it was housed on Kaggle in a separte dataset to our training data.
# Select best tuning parameters
tune_tree_best <- tune_tree_rand %>%
select_best(metric = "rmse")
# Finalize your model using the best tuning parameters
tune_tree_final <- tune_rand %>%
finalize_model(tune_tree_best)
rec_tree_final <- rec %>%
finalize_recipe(tune_tree_best)
prepped_train <- rec_tree_final %>%
prep() %>%
bake(train) %>%
select(-contains("id"), -ncessch)
real_test <- read_csv(here::here("data", "test.csv"), col_types = cols(.default = col_guess(), calc_admn_cd = col_character())) %>%
left_join(frl)
prepped_test <- rec_tree_final %>%
prep() %>%
bake(real_test) %>%
select(-contains("id"), -ncessch)
We then run the final fit on our entire training data. The results of this model “full_train_fit” are then included in the function “predict()” to get predictions based on the prepped_test data. We then put these predictions in a dataframe with Id and create a csv to submit on kaggle (the desired submission format for our class competition) to see how our model does predicting the test dataset.
full_train_fit <- fit(tune_tree_final, score ~ ., prepped_train)
preds <- predict(full_train_fit, new_data = prepped_test)
pred_file <- tibble(Id = real_test$id, Predicted = preds$.pred)
write_csv(pred_file, "final_submission.csv")
We received a score of 88.37, better than our preliminary fit 2!


ALIEN RESURRECTION
RATING: **** (out of ****)
20th Century Fox / 1:48 / 1997 / R (language, gore, semi-nudity, creepy images) Cast: Sigourney Weaver; Winona Ryder; Ron Rerlman; Dominique Pinon; Gary Dourdan; Michael Wincott; Leland Orser; Kim Flowers; Dan Hedaya; J.E. Freeman; Brad Dourif; Raymond Cruz Director: Jean-Pierre Jeunet Screenplay: Joss Whedon
There's nothing more satisfying than a film series that keeps each installment fresh and unique, and the movies in the "Alien" franchise are a great example of the innovation required in order to maintain interest. Ridley Scott's 1979 "Alien" was an ominously chilling homage/remake of old-time creature features that set the stage for countless copycats and arguably redefined the contemporary monster movie. In 1986, James Cameron's crowd-pleaser sequel "Aliens" hit screens, and is still considered a classic combination of action and science-fiction sensibilities today. Five years ago, David Fincher's "Alien3" met with troubling box office performance due to a downbeat tone and depressing send-off, but love it or hate it, it's definitely a strong exercise in grim atmosphere. Now, there's "Alien Resurrection," which I'm pleased to say is *spectacular.* You'll have to excuse the gushing (I'm an enormous fan of the series and must consider this film as *the* one movie of 97 I've been looking forward to the most -- everyone else can subtract a half-star or so from my rating), but "Alien Resurrection" is an exhilarating experience, easily one of the most exciting motion pictures of the year.
When we last left Lieutenant Ellen Ripley (Sigourney Weaver) in "Alien3," she had taken her own life in order to prevent the alien queen growing inside her from falling into the hands of a selfish, aloof bio-weapons division that wanted to create and tame a beastly army of their own. "Alien Resurrection" picks up about 200 years later. On the space station Auriga, similar-minded scientists have used blood samples (taken soon before her death) to clone a Ripley with extremely discouraging results on seven separate occasions. But it appears the eighth time's the charm: the operation is a success, the queen is removed and Ripley, scarred but still beautiful, is cast aside while the project's supervisors can figure out how they're going to rid of her.
Everything seems to be running like clockwork until the small space pirate crew of the Betty docks on the Auriga. Their mysterious cargo -- about a dozen live bodies in states of suspended animation -- is quickly used to breed a new brood of the otherworldly monsters, which, of course, end up escaping. As the bloodbath begins, Ripley reveals to Betty shipmate Analee Call (Winona Ryder), a seemingly-passive young grunt who may or may not have questionable motives for being on the Auriga, that things are not what they seem -- the cloning process has resulted in a DNA exchange between human and creature. As a result, Ripley is given alien intuition and a few other assorted bonus surprises.
Because alien movies are such an overworked sci-fi genre, they're also one of the most tired. In the past two years alone, we've had entries that range from silly-but-enjoyable ("Starship Troopers") to plainly mediocre ("Event Horizon") to downright awful (yes, "Independence Day"). Most, if not all, of these films are completely shallow when it comes to anything other than blood, guts and the requisite jump scene -- there's little intrigue outside of wondering how much the special effects cost. Leave it up to "Alien Resurrection" to throw a lot of emotion and character into the mix. Thankfully, it's about more than monsters on a kill-quest.
That's not to say that there's a lack of chest-bursting, face-hugging or the use of people as in-between meal snacks -- enthusiasts of such violence will find much about "Alien Resurrection" to relish, particularly some icky business I heard an Internet rumor panel refer to as the "human toothpaste scene" and one bit where a general realizes he's a goner by examining a piece of his own head. But aside from the gore, there are actual ideas about biological-tampering, genetics and loyalty that aren't just confined to a setup or back-story. In one particularly thought-provoking sequence, Ripley meets the seven mutated clones she very well could have been. The way this quasi-family reunion plays out is eerie, stunning and even moving.
"Alien Resurrection" draws much of its suspense from where Ripley's final allegiance will lie -- which of the two species will she end up devoting herself to? Weaver obviously relishes the new-fangled spin on her best role ever.  Weaver's choreography, costuming and makeup even add to her neo-alien look. Ryder sports a surprisingly strong action presence, proving that she can conquer pretty much any type of film. Call makes a great foil for Ripley; their eventually-warm relationship is reminiscent of Ripley's bond with the little girl she saved in "Aliens." Other cast members register even if their sole purpose is to act as a food source. "The Crow"'s Michael Wincott is noteworthy as a semi-good guy (for once) but exits the film far too early. Leland Orser is "Resurrection"'s likely scene-stealer, playing a jittery traveler who's reluctantly carrying an alien in his own chest. Even the aliens themselves are given more character this time around.
Behind-the-scenes credits are stellar. Director Jean-Pierre Jeunet ("The City of Lost Children") frames each and every shot as a visual showstopper, particularly a dizzying underwater chase that culminates in a tense vertical climb. Screenwriter Joss Whedon gives "Alien Resurrection" the same clever humor that crowded his script for "Toy Story." Herve Schneid's editing is taut, John Frizzell's original score is eclectic. All of the prowess both on- and off-screen carries "Alien Resurrection" to a supremely rousing climax, the aftermath of which ever-so-slightly hints at an "Alien 5." And I, for one, am already in line.
© 1997 Jamie Peck E-mail<EMAIL_ADDRESS>Visit the Reel Deal Online: http://www.gl.umbc.edu/~jpeck1/
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The best weekend events in Toronto: November 22-24
Including Long Winter, Aurora Winter Festival, Naked Heart, The Sorority & Snotty Nose Rez Kids and Wildlife Photographer Of The Year at the ROM
by NOW StaffWildlife Photographer Of The Year
A photo of a Tibetan fox surprising a Himalayan marmot by Yongqing Bao has claimed the title of year’s best wildlife photo. The Chinese photographer’s The Moment is among 100 images featured in the annual Wildlife Photographer Of The Year show, which opens at the ROM this weekend. The work of three Canadians is also featured, including Saskatoon-based Jason Bantle’s Lucky Break, which shows a raccoon poking her head through the windshield of the abandoned 70s Ford Pinto she calls home. The pic received a “highly commended” mention from the jury in the Urban Wildlife category. Another highlight is 13-year-old Cruz Erdmann’s shot of a bigfin reef squid off the coast of Indonesia. The photos fall into eight categories plus the Grand Title winners.
November 23-March 29 at the Royal Ontario Museum, 100 Queen’s Park. $18-$23. rom.on.ca.
Pathways for Newcomer Artists and Creative Workers
Myseum Toronto hosts a forum to identify and overcome barriers and gaps that exist for newcomers looking to break into Toronto's creative and arts scenes.
November 22. Centre for Social Innovation Spadina (1st floor). 10 am-3 pm. myseumoftoronto.com.
Regent Park Film Festival
Phillip Pike's Our Dance Of Revolution and Mati Diop's Atlantics screen during the community film fest.
To November 23. Daniels Spectrum. regentparkfilmfestival.com.
Holiday Hills
Stackt Market's winter fest kicks off and includes the city's first crokicurl rink – crokinole meets curling. Check out NOW's winter events picks here.
November 22-December 22. Fri 4-11 pm, Sat 11 am-11 pm, Sun 11 am-6 pm. Free. stacktmarket.com.
BMO 1st Art!
Check out the year's best art by Canadian students at MOCA.
To December 16. $5-$10, under 18 free. 1start.bmo.com.
Long Winter
R. Flex, Raf Reza, Pretty Matty and others play the music and art series’ first show of the season.
November 22. Tranzac. 7 pm, all ages. Pwyc. ticketscene.ca.
Aurora Winter Festival
Holiday-themed amusement park returns to Ontario Place.
November 22 - January 5. $13-$18. aurorawinterfestival.com.
One Of A Kind Winter Show
The massive craft market sets up at Enercare Centre in time for the holidays.
November 23 - December 1. Free-$15. oneofakindshow.com.
Naked Heart
Fifth annual LGBTQ literary fest takes over Glad Day and Buddies in Bad Times.
November 22-24. Passes $17-$27. nakedheart.ca.
The Sorority & Snotty Nose Rez Kids
Two of Canada’s most exciting hip-hop groups play the Opera House.
November 24. Doors 7 pm. $25. ticketweb.ca.


Data structure for a face in a LWO file.
More...
Inherits aiFace.
Data structure for a face in a LWO file.
- Note
- We can't use the code in SmoothingGroups.inl here - the mesh structures of 3DS/ASE and LWO are too different.
◆ Face() [1/3]
| Assimp::LWO::Face::Face |
( |
| ) |
|
|
inline |
◆ Face() [2/3]
| Assimp::LWO::Face::Face |
( |
uint32_t |
_type | ) |
|
|
inlineexplicit |
Construction from given type.
◆ Face() [3/3]
| Assimp::LWO::Face::Face |
( |
const Face & |
f | ) |
|
|
inline |
◆ operator!=()
| bool aiFace::operator!= |
( |
const aiFace & |
o | ) |
const |
|
inlineinherited |
Inverse comparison operator.
Checks whether the index array of two faces is NOT identical
◆ operator=()
◆ operator==()
| bool aiFace::operator== |
( |
const aiFace & |
o | ) |
const |
|
inlineinherited |
Comparison operator.
Checks whether the index array of two faces is identical
◆ mIndices
| unsigned int* aiFace::mIndices |
|
inherited |
Pointer to the indices array. Size of the array is given in numIndices.
◆ mNumIndices
| unsigned int aiFace::mNumIndices |
|
inherited |
Number of indices defining this face.
The maximum value for this member is AI_MAX_FACE_INDICES.
◆ smoothGroup
| unsigned int Assimp::LWO::Face::smoothGroup |
Smooth group this face is assigned to.
◆ surfaceIndex
| unsigned int Assimp::LWO::Face::surfaceIndex |
Zero-based index into tags chunk.
◆ type
| uint32_t Assimp::LWO::Face::type |
The documentation for this struct was generated from the following file:


Collection.removeIf
call.
Example:
for (Iterator<String> it = collection.iterator(); it.hasNext(); ) {
String aValue = it.next();
if(shouldBeRemoved(aValue)) {
it.remove();
}
}
After the quick-fix is applied:
collection.removeIf(aValue -> shouldBeRemoved(aValue));
This inspection only reports if the language level of the project or module is 8 or higher.


Introduction
PHD2 is the second generation of Craig Stark's original PHD application. PHD
has become a fixture of the amateur astronomy community with more than
a quarter million downloads. From its inception, it has
successfully embraced three seemingly conflicting objectives:
- For the beginning or casual imager, to deliver ease of use and good guiding performance "out of the box"
- For
the experienced imager, to deliver sophisticated guiding
algorithms, extensive options for tuning, and broad support for imaging
equipment
- For all users, to consistently exhibit a commercial level of quality while being available free of charge
In order to extend PHD to more platforms and further expand its capabilities, Craig released his program to the open-source community, and PHD2
is the direct result of that generosity. It has been
substantially restructured to make it more extensible and supportable
going forward. Now, after over 5 years of independent
development,
PHD2 includes a substantial number of new features and
refinements, many of which focus on helping you achieve better guiding
results.
Users of PHD2 can be confident it will remain committed to the three objectives that made the original application so successful.


Welcome to Langenium, a web based MMORPG currently in development.
More information is available at the website.
W - FORWARD S - BACK A - UP D - RIGHT SHIFT - UP SPACE - DOWN Hold Right-Click - Rotate Camera


--- date: 2013-11-15 10:00:05 author: Colene Chow title: "PhoneGap Day EU 2013: Bringing Native UI to PhoneGap Apps" format: html tags: - PhoneGap Day - Community - Event ---
Thank you to everyone who attended PhoneGap Day EU. We'll be rolling out all the videos over the coming days for those who weren't able to attend.
Our next video is Masahiro Tanaka, CEO of Asial Corporation, talking about the difference between HTML5 based UI and native component based UI.


equivalence(7f) - [FORTRAN:INTRINSICS] used to specify the sharing of storage units by two or more objects in a storage unit
equivalence(object1,object2)
An EQUIVALENCE statement is used to specify the sharing of storage units by two or more objects in a scoping unit. This causes storage association (16.5.3) of the objects that share the storage units.
If the equivalenced objects have differing type or type parameters, the EQUIVALENCE statement does not cause type conversion or imply mathematical equivalence. If a scalar and an array are equivalenced, the scalar does not have array properties and the array does not have the properties of a scalar.
R565 equivalence-stmt is EQUIVALENCE equivalence-set-listNOTE 5.40R566 equivalence-set is ( equivalence-object , equivalence-object-list )
R567 equivalence-object is variable-name or array-element or substring
C583 (R567) An equivalence-object shall not be a designator with a base object that is a dummy argument, a pointer, an allocatable variable, a derived-type object that has an allocatable ultimate component, an object of a nonsequence derived type, an object of a derived type that has a pointer at any level of component selection, an automatic object, a function name, an entry name, a result name, a variable with the BIND attribute, a variable in a common block that has the BIND attribute, or a named constant.
C584 (R567) An equivalence-object shall not be a designator that has more than one part-ref .
C585 (R567) An equivalence-object shall not be a coarray or a subobject thereof.
C586 (R567) An equivalence-object shall not have the TARGET attribute.
C587 (R567) Each subscript or substring range expression in an equivalence-object shall be an integer initialization expression (7.1.12).
C588 (R566) If an equivalence-object is default integer, default real, double precision real, default complex, default logical, or of numeric sequence type, all of the objects in the equivalence set shall be of these types.
C589 (R566) If an equivalence-object is default character or of character sequence type, all of the objects in the equivalence set shall be of these types and kinds.
C590 (R566) If an equivalence-object is of a sequence type that is not a numeric sequence or character sequence type, all of the objects in the equivalence set shall be of the same type with the same type parameter values.
C591 (R566) If an equivalence-object is of an intrinsic type but is not default integer, default real, double precision real, default complex, default logical, or default character, all of the objects in the equivalence set shall be of the same type with the same kind type parameter value.
C592 (R567) If an equivalence-object has the PROTECTED attribute, all of the objects in the equivalence set shall have the PROTECTED attribute.
C593 (R567) The name of an equivalence-object shall not be a name made accessible by use association.
C594 (R567) A substring shall not have length zero.
The EQUIVALENCE statement allows the equivalencing of sequence structures and the equivalencing of objects of intrinsic type with nondefault type parameters, but there are strict rules regarding the appearance of these objects in an EQUIVALENCE statement.
A structure that appears in an EQUIVALENCE statement shall be a sequence structure. If a sequence structure is not of numeric sequence type or of character sequence type, it shall be equivalenced only to objects of the same type with the same type parameter values.
A structure of a numeric sequence type shall be equivalenced only to another structure of a numeric sequence type, an object that is default integer, default real, double precision real, default complex, or default logical type such that components of the structure ultimately become associated only with objects of these types and kinds.
A structure of a character sequence type shall be equivalenced only to an object of default character type or another structure of a character sequence type.
An object of intrinsic type with nondefault kind type parameters shall not be equivalenced to objects of different type or kind type parameters.
Further rules on the interaction of EQUIVALENCE statements and default initialization are given in <IP_ADDRESS>.
An EQUIVALENCE statement shall not cause the storage sequences of two different common blocks to be associated.
<IP_ADDRESS> Equivalence association An EQUIVALENCE statement specifies that the storage sequences (<IP_ADDRESS>) of the data objects specified in an equivalence-set are storage associated. All of the nonzero-sized sequences in the equivalence-set, if any, have the same first storage unit, and all of the zero-sized sequences in the equivalence-set, if any, are storage associated with one another and with the first storage unit of any nonzero-sized sequences. This causes the storage association of the data objects in the equivalence-set and may cause storage association of other data objects. <IP_ADDRESS> Equivalence of default character objects A default character data object shall not be equivalenced to an object that is not default character and not of a character sequence type. The lengths of equivalenced default character objects need not be the same. An EQUIVALENCE statement specifies that the storage sequences of all the default character data objects specified in an equivalence-set are storage associated. All of the nonzero-sized sequences in the equivalence-set, if any, have the same first character storage unit, and all of the zero-sized sequences in the equivalence-set, if any, are storage associated with one another and with the first character storage unit of any nonzero-sized sequences. This causes the storage association of the data objects in the equivalence-set and may cause storage association of other data objects. NOTE 5.41 For example, using the declarations:CHARACTER (LEN = 4) :: A, B CHARACTER (LEN = 3) :: C (2) EQUIVALENCE (A, C (1)), (B, C (2))
the association of A, B, and C can be illustrated graphically as:
1 2 3 4 5 6 7 |--- --- A --- ---| |--- --- B --- ---| |--- C(1) ---| |--- C(2) ---|
<IP_ADDRESS> Array names and array element designators For a nonzero-sized array, the use of the array name unqualified by a subscript list as an equivalence-object has the same effect as using an array element designator that identifies the first element of the array. <IP_ADDRESS> Restrictions on EQUIVALENCE statements An EQUIVALENCE statement shall not specify that the same storage unit is to occur more than once in a storage sequence. NOTE 5.42 For example:An EQUIVALENCE statement shall not specify that consecutive storage units are to be nonconsecutive.REAL, DIMENSION (2) :: A REAL :: B EQUIVALENCE (A(1), B), (A(2), B) ! Not standard-conforming
is prohibited, because it would specify the same storage unit for A (1) and A (2).
NOTE 5.43 For example, the following is prohibited:REAL A (2) DOUBLE PRECISION D (2) EQUIVALENCE (A(1), D(1)), (A(2), D(2)) ! Not standard-conforming
5.7.3 Restrictions on common and equivalence Equivalence association shall not cause a derived-type object with default initialization to be associated with an object in a common block.
Equivalence association shall not cause a common block storage sequence to be extended by adding storage units preceding the first storage unit of the first object specified in a COMMON statement for the common block.
NOTE 5.46 For example, the following is not permitted:COMMON /X/ A REAL B (2) EQUIVALENCE (A, B(2)) ! Not standard-conforming
| Nemo Release 3.1 | equivalence (7) | July 22, 2023 |


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