ion-java is the reference implementation of the
Ion data notation for the
JavaTM 2 Platform Standard Edition 5.0
and above.
This document describes all APIs intended for public consumption, limited to
the packages listed here. The ion-java library distribution includes other
packages not documented here; use of those packages is not supported,
so don't use them!
More generally:
Any behavior or features not present in this API documentation is
unsupported, probably untested, and subject to change without notice.
In addition, unless otherwise noted, interfaces and classes listed here
should not be implemented or extended by code outside of this library! We
may add or remove API(s) of existing interfaces or classes in future releases.
If your application does not observe these warnings, it will impede the release
cycle of this library.
Start at IonSystem
The central interface in ion-java is {@link com.amazon.ion.IonSystem}, which is
the main factory and facade for all Ion processing.
The intended architectural pattern is for your application to build a
single system instance and use it
throughout the application. The {@code IonSystem} interface provides access
to all other components, including the capability to construct
{@link com.amazon.ion.IonValue IonValue} hierarchies.
What all this means is that your first task is acquiring a system instance, and
for that we turn to
{@link com.amazon.ion.system.IonSystemBuilder IonSystemBuilder}.
Here's the easiest way to bootstrap:
IonSystem ion = IonSystemBuilder.standard().build();
That should be sufficient for many, but not all, applications. Long-running
services will probably want to use a non-default
{@linkplain com.amazon.ion.IonCatalog catalog} by configuring the builder
before calling {@link com.amazon.ion.system.IonSystemBuilder#build() build()}.
SystemFactory is Deprecated
As of early 2011, the {@link com.amazon.ion.system.SystemFactory SystemFactory}
class has been deprecated in favor of {@code IonSystemBuilder}.
This should be a straightforward application change and we strongly recommend
that all applications update.
An Important Caveat
Objects returned by one {@code IonSystem} cannot by mixed with objects returned
by another {@code IonSystem}! For example, the following code is not
guaranteed to work:
IonSystem sys1 = IonSystemBuilder.standard().build();
IonSystem sys2 = IonSystemBuilder.standard().build();
IonList parent = sys1.newEmptyList();
IonInt child = sys2.newInt(23);
parent.add(child); // NOT SUPPORTED
Given any {@code IonValue} instance it is possible to retrieve the relevant
system via {@link com.amazon.ion.IonValue#getSystem()}.
This is generally the best way to ensure
that you're using the correct system while modifying existing trees.
You can also use the "Curried" insertion methods to add new values to
collections:
struct.put("f").newInt(3);
list.add().newString("demo");
Getting Data In
This release defines three mechanisms for accepting Ion data:
- {@link com.amazon.ion.IonReader IonReader} scans an input stream using a
"pull parsing" paradigm. This is a low-level, high-performance API, and
the other mechanisms are built on top of it.
- Iteration reads an input stream by
iterating over its top-level elements. This "one at a time" input
mechanism is intended for stream-oriented applications.
- {@link com.amazon.ion.IonLoader IonLoader} loads an entire input stream
into a single {@linkplain com.amazon.ion.IonDatagram datagram}.
This "all at once" input mechanism is intended for document-oriented
applications.
All mechanisms accept either text or binary Ion data, and applications should
rarely care about the input format.
To construct an {@code IonReader}, call one of the {@code newReader} methods
on {@code IonSystem}; for example
{@link com.amazon.ion.IonSystem#newReader(InputStream)}.
You can then pull data from the reader. Don't forget to
{@link com.amazon.ion.IonReader#close() close} it when you're done!
Ion iterators are extensions of
{@link java.util.Iterator} so they are used once and then discarded.
Use the various {@code iterate} methods on {@code IonSystem} to
create them; for example
{@link com.amazon.ion.IonSystem#iterate(InputStream)}.
To construct an {@code IonLoader}, call
{@link com.amazon.ion.IonSystem#newLoader()} and configure it as necessary.
{@code IonLoaders} are safe for use by multiple threads. The {@code IonSystem}
also maintains a "default loader" so you don't have to pass one around, see
{@link com.amazon.ion.IonSystem#getLoader()}.
Getting Data Out
There's also several mechanisms for generating Ion data:
- {@link com.amazon.ion.IonWriter IonWriter} is the low-level API for
generating Ion data in some form. It's agnostic to the output format; in
theory the actual output could be some other format entirely.
- {@link com.amazon.ion.IonValue#toString() IonValue.toString()} will also
generate Ion text, but it's primarily intended for debugging purposes and
cannot be customized. The particular layout is not specified by contract,
so don't assume that it will always output the same thing!
- {@link com.amazon.ion.IonValue#writeTo(IonWriter)} outputs Ion data in
the writer's format. This is the best way to output the data model.
- From an {@link com.amazon.ion.IonDatagram IonDatagram} you can call
{@link com.amazon.ion.IonDatagram#getBytes() getBytes()} to get Ion
binary data.
You can create {@code IonWriter}s using methods on {@code IonSystem}, but the
{@link com.amazon.ion.system.IonTextWriterBuilder} provides more flexibility.
No Canonical Serialization
There is no specified canonical form of Ion serialized data, and none of the
APIs in this library attempt to create one. Further, no API in this library
guarantees repeatable or stable output for any data type. Different releases
of this library, or even different invocations of the same API, may produce
different encodings from the same input.
This caveat applies to both Ion text and binary forms, although violations
are far more common (and easier to make) using Ion text.
Therefore, applications and tests should never compare the serialized form of
data to determine equality. For example, the following JUnit idiom is
not supported:
assertEquals(expectedIonValue.toString(), actualIonValue.toString());
The same goes for output via any other API, including
{@link com.amazon.ion.IonWriter IonWriter}s.
The correct approach to performing semantic equivalence checks over Ion data is
to use documented equivalence APIs such as
{@link com.amazon.ion.IonValue#equals(Object) IonValue.equals()}.
JSON Integration
The Ion text format is a superset of JSON, so JSON data is Ion data.
This means that you can read JSON data as-is using the Ion libraries, with a
caveat:
JSON numbers with exponents are decoded as Ion float, while those with
fractions (but not exponents) are decoded as Ion decimal.
To output JSON with this library, Ion data can be "downconverted" to JSON
format using an
{@link com.amazon.ion.system.IonTextWriterBuilder IonTextWriterBuilder}.
This replaces Ion-only datatypes with more-or-less equivalent JSON values.
(The {@link com.amazon.ion.util.Printer Printer} can also be used, but it is
no longer recommended and will be deprecated.)
Thread Safety
All interfaces and classes are not safe for use by multiple threads
unless documented otherwise.


""" Uplink and Downlink handling for communications layer
Downlink needs to happen in several stages. First, raw data is read from the adapter. This data is collected in a pool
and the pool is passed to a deframer that extracts frames from this pool. Frames are queued and sent to the ground
side where they are and passed into the ground side handler and onto the other GDS processes. Downlink handles multiple
streams of data the FSW downlink, and loopback data from the uplink adapter.
Uplink is the reverse, it pulls data in from the ground handler, frames it, and sends it up to the waiting FSW. Uplink
is represented by a single thread, as it is not dealing with multiple streams of data that need to be multiplexed.
"""
import threading
from queue import Queue, Full, Empty
import logging
from fprime.common.models.serialize.numerical_types import U32Type
from fprime_gds.common.utils.data_desc_type import DataDescType
from fprime_gds.common.communication.adapters.base import BaseAdapter
from fprime_gds.common.communication.ground import GroundHandler
from fprime_gds.common.communication.framing import FramerDeframer
[docs]DW_LOGGER = logging.getLogger("downlink")
[docs]UP_LOGGER = logging.getLogger("uplink")
[docs]class Downlinker:
"""Encapsulates communication downlink functions
Handles downlink creating two threads, one to read and deframe, and the other to send data out to the ground side
of the system. It is composed of an adapter used to read from the interface, a deframer that is used to deframe
incoming data, and a ground handler that is used to interact with the ground side of the system.
Two threaded stages are used to multiplex between loopback data and FSW downlink data without the need to busy spin
waiting for data.
"""
def __init__(
self, adapter: BaseAdapter, ground: GroundHandler, deframer: FramerDeframer
):
"""Initialize the downlinker
Constructs a new downlinker object used to run the downlink and deframing operation.
Args:
adapter: adapter used to read raw data from the hardware connection
ground: handles the ground side connection
deframer: deframer used to deframe data from the communication format
"""
self.running = True
self.th_ground = None
self.th_data = None
self.adapter = adapter
self.ground = ground
self.deframer = deframer
self.outgoing = Queue()
[docs] def start(self):
""" Starts the downlink pipeline """
self.th_ground = threading.Thread(target=self.sending)
self.th_ground.daemon = True
self.th_ground.start()
self.th_data = threading.Thread(target=self.deframing)
self.th_data.daemon = True
self.th_data.start()
[docs] def deframing(self):
"""Deframing stage of downlink
Reads in data from the raw adapter and runs the deframing. Collects data in a pool and continually runs
deframing against it where possible. Then appends new frames into the outgoing queue.
"""
pool = b""
while self.running:
# Blocks until data is available, but may still return b"" if timeout
pool += self.adapter.read()
frames, pool = self.deframer.deframe_all(pool, no_copy=True)
try:
for frame in frames:
self.outgoing.put_nowait(frame)
except Full:
DW_LOGGER.warning("GDS ground queue full, dropping frame")
[docs] def sending(self):
"""Outgoing stage of downlink
Adapts the downlink adapter to the rest of the GDS system by draining the outgoing queue and sending those
packets to the rest of the GDS. This uses the ground send_all method.
"""
while self.running:
frames = []
try:
# Blocking read of at least one frame, then drain the entire queue
frames.append(self.outgoing.get(timeout=0.500))
while not self.outgoing.empty():
frames.append(self.outgoing.get_nowait())
except Empty:
pass
self.ground.send_all(frames)
[docs] def stop(self):
""" Stop the thread depends will close the ground resource which may be blocking """
self.running = False
[docs] def join(self):
""" Join on the ending threads """
for thread in [self.th_data, self.th_ground]:
if thread is not None:
thread.join()
[docs] def add_loopback_frame(self, frame):
"""Adds a frame to loopback to ground
Some uplink processes are virtualized on the ground, and thus must loopback packets. This is used for data
handshaking that the FSW may not support.
Args:
frame: frame to loopback to ground
"""
try:
self.outgoing.put_nowait(frame)
except Full:
DW_LOGGER.warning("GDS ground queue full, dropping loopback frame")
[docs]class Uplinker:
"""Uplinker used to pull data out of the ground layer and send to FSW
Handles uplink by creating a single thread to read data from the ground layer, frame it, and pass it to the adapter
to the hardware link to flight software. It is composed of an adapter used to write to the interface, a framer
that is used to frame outgoing data, and a ground handler that is used to interact with the ground side of the
system.
Since there is one stream of data the uplink requires only one thread to run.
"""
def __init__(
self,
adapter: BaseAdapter,
ground: GroundHandler,
framer: FramerDeframer,
loopback: Downlinker,
):
"""Initializes the uplink class
Initialize the uplink class using a hardware adapter, ground hanler, and framer. loopback is used to virtualize
the return packet handshake as FSW does not handle that.
Args:
adapter: hardware adapter used to write raw outgoing data bytes
ground: ground handler receiving data from the ground system
framer: framer used to frame wire bytes
loopback: used to return handshake packets
"""
self.th_uplink = None
self.running = True
self.ground = ground
self.adapter = adapter
self.loopback = loopback
self.framer = framer
[docs] def start(self):
""" Starts the uplink pipeline """
self.th_uplink = threading.Thread(target=self.uplink)
self.th_uplink.daemon = True
self.th_uplink.start()
[docs] def uplink(self):
"""Runs uplink of data from ground to FSW
Primary stage of the uplink process, reads data from the ground adapter, and passes the rest of the data to the
framer, and then onto the adapter to send to FSW. Uplink also generates handshake packets as the current FSW
does not generate handshake packets.
"""
try:
while self.running:
packets = self.ground.receive_all()
for packet in [
packet
for packet in packets
if packet is not None and len(packet) > 0
]:
framed = self.framer.frame(packet)
# Uplink handles synchronous retries
for retry in range(0, Uplinker.RETRY_COUNT):
if self.adapter.write(framed):
self.loopback.add_loopback_frame(
Uplinker.get_handshake(packet)
)
break
else:
UP_LOGGER.warning(
"Uplink failed to send %d bytes of data after %d retries",
(len(framed), Uplinker.RETRY_COUNT),
)
# An OSError might occur during shutdown and is harmless. If we are not shutting down, this error should be
# propagated up the stack.
except OSError:
if self.running:
raise
[docs] def stop(self):
""" Stop the thread depends will close the ground resource which may be blocking """
self.running = False
[docs] def join(self):
""" Join on the ending threads """
if self.th_uplink is not None:
self.th_uplink.join()
@staticmethod
[docs] def get_handshake(packet: bytes) -> bytes:
"""Gets a handshake raw frame from the last packet
Creates a handshake raw-frame by repeating the contents of the last packet with a handshake descriptor at the
front.
Args:
packet: packet to repeat back out as handshake
Returns:
handshake packet
"""
return U32Type(DataDescType["FW_PACKET_HAND"].value).serialize() + packet


Yes, Minnesotans, February was as bad as you thought.
After a slow start, winter decided make up for lost time — dumping 39 inches of snow in 28 days. It snowed more days than it didn't, surpassing a typical February by more than two feet.
Essentially, the Twin Cities were transformed into mountain towns without the mountains.
Seriously - our snowfall totals were closer to Jackson, Wyo., (51 inches and counting) than our fellow Midwesterners in Chicago (9 inches), Milwaukee (18 inches) and Detroit (7 inches).
They even surpassed the monthly total on the summit of New Hampshire's Mt. Washington — elevation 6,288 feet — a place that proudly claims to be home to the worst weather in America.
In fact, with the exception of Wisconsin and Michigan's Upper Peninsula, the Twin Cities suffered more snow this February than nearly everywhere outside the Mountain West, according to snow accumualation estimates by the National Weather Service.
This, to put it lightly, is unusual.
Despite our reputation for relentless winters, the Twin Cities averages about 9 inches of snow in February, which is comparable to areas of New England, the upper Midwest, and swaths of the northern plains.
The maps below compare how our snow accumulation this February compares to those and other regions. Red areas had at least as much snow as the Twin Cities. Blue areas had less.
If misery loves company, they also show how lonely our last month truly was.
New England is no stranger to snowy winters. Apart from being home to several major mountain ranges, the region is often battered by ferocious nor'easters that churn up the coast and dump snow by the foot in areas like Boston and New York.
A particularly merciless series of storms in 2015 dropped nearly five feet on Boston in Feburary alone, on the way to a record-setting season of 108 inches — a total the Twin Cities has never matched.
To be fair, a mild February in places like New York and Connecticut might see only an inch or two, and several historic storms have led to some outsized totals there in recent years.
But this year, Boston got 9 inches. Portland, Maine, managed nearly 11. And up north, Burlington, Vt., tallied just 16.
In a normal winter, we can usually count on our compatriots in Milwaukee, Chicago and Detroit to share our pain.
Their typical February looks a lot like ours, with snowfall totals around a foot, give or take, made worse at times by frigid winds ripping off the Great Lakes.
This year was no different. All three cities saw snowfall roughly in line with their historical averages — though other areas of Michigan and Wisconsin had it even worse than we did:
Topping 41 inches, Eau Claire, Wisc., just recorded the snowiest month in its history. And the Upper Peninsula?
Surely the rugged North Shore must have had more snow last month than the Twin Cities.
What with the storms roiling over Lake Superior, the cold and wild Boundary Waters, and the Sawtooth Mountains, home to just about the only real elevation Minnesota has to offer, our northern brethren can usually be counted on to hold the "more snow" trump card.
And in a normal February, that would be true. But this was not a normal February.
A few spots near Tofte and the Canadian border matched us flake-for-flake. And Duluth got close. But even though much of the Arrowhead got more snow than usual earlier this winter, its Feburary count was still found wanting by Twin Cities standards.
It could always be worse.
Some areas of the Sierra Nevada mountains, in California, got socked with more than 350 inches of snow in February.
That's good news for Los Angeles, which counts on snowmelt from the Sierra to supply much of its water, but it has also shut down highways, triggered enormous avalanches, and created memeworthy snowdrifts the size of small buildings.
Snowfall records fell all over the west this February, from Seattle to Spokane, Wash., to Missoula, Mont. Even Los Angeles got a taste.
But the fact remains: Unless you live on a mountain, you probably saw less snow than the Twin Cities last month.


Posed a question about the Titanic passenger dataset, then used NumPy and Pandas to answer that question based on the data and created a report to share the results. Technologies: Python, NumPy, Pandas, Matplotlib, IPython notebook
Utilizing machine-learning tools to build an algorithm to identify Enron employees who may have committed fraud based on the public Enron financial and email dataset. Explored five different algorithms (GaussianNB, Support Vector Machines, Decision Tree, K Neighbors, and Logit). Technologies: Python, scikit-learn, feature selection
Chose a region (Raleigh-Durham, NC) and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity. Technologies: MySQL, Python, data cleaning, data verification
Designed an A/B test, including which metrics to measure and how long the test should be run. I also analyzed the results of an A/B test that was run by Udacity, recommended a decision, and proposed a follow-up experiment. Technologies: A/B test design, confidence intervals, hypothesis testing, binomial distribution
Investigated the Prosper Loan dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables. Technologies: R, RStudio, ggplot, exploratory data analysis
Implemented a K-means clustering algorithm and applied the algorithm to compress an image; used Principal Component Analysis to find low dimensional representation of face images. Developed an anomaly detection algorithm in server computers to detect any harmful behavior using Gaussian distribution. Technologies used: Matlab/Octave


Downloads
Categories |
Applications
MidiPlayer2 |
|
|
Plays midi files and is capable of using SF2 soundfonts. Also includes mod to midi converter. For Windows 98, Me, 2000, XP, Vista, 7, 8, and 10. |
Desktop Themes
CB Marina |
|
|
Oceanic themed colors with the bubbles wallpaper. For Windows 95 and 98 with Microsoft Plus! installed. |
Soundfonts
SGM v2.01 |
|
|
High quality sound font. Can be used with MidiPlayer2. |


1 write to _syncObject
System.Management.Automation (1)
engine\debugger\debugger.cs (1)
984
_syncObject
= new object();
21 references to _syncObject
System.Management.Automation (21)
engine\debugger\debugger.cs (21)
2095
lock (
_syncObject
)
2153
lock (
_syncObject
)
2198
lock (
_syncObject
)
2233
lock (
_syncObject
)
2410
lock (
_syncObject
)
2906
lock (
_syncObject
)
3035
lock (
_syncObject
)
3176
lock (
_syncObject
)
3224
lock (
_syncObject
)
3242
lock (
_syncObject
)
3268
lock (
_syncObject
)
3297
lock (
_syncObject
)
3342
lock (
_syncObject
)
3492
lock (
_syncObject
)
3518
lock (
_syncObject
)
3656
lock (
_syncObject
)
3675
lock (
_syncObject
)
3708
lock (
_syncObject
)
3821
lock (
_syncObject
)
3838
lock (
_syncObject
)
4008
lock (
_syncObject
)


-
WTF?? So, I come to G+ today to catch up, and my home stream is just ...
plus.google.com
WTF?? So, I come to G+ today to catch up, and my home stream is just BLASTED with stuff about "Ello." I mean, what in the world!! LOL No...not ...
-
3DPALOOZA with AutoDesk and Geek Beat! (LIVESTREAM) - Google+
plus.google.com
*Join Geek Beat as we embark on a 3D adventure with our friends over at AutoDesk!* Geek Beat has joined forces with the team over at AutoDesk to ...
-
3DPALOOZA with AutoDesk and Geek Beat! - Google+
plus.google.com
*Join Geek Beat as we embark on a 3D adventure with our friends over at AutoDesk!* _*NOTE*: THIS IS AN EVENT AT THE GEEK HOUSE, DALLAS, SO IF YOU ...
-
Installing Our Interlogix TruPortal and TruVision Systems at the Geek ...
plus.google.com
Installing Our Interlogix TruPortal and TruVision Systems at the Geek House - YouTube - http://gkbt.co/1rySSJV - Geek Beat - Google+
-
In today's vlog, we say good bye to the heavy, in the way UPS we had ...
plus.google.com
In today's vlog, we say good bye to the heavy, in the way UPS we had sitting here for weeks! Have an idea for a vlog? Post on social and use #GBVLOG ...
-
BTS FRIDAY Here's +Cali Lewis trying out Vantage.tv on the Oculus Rift! ...
plus.google.com
BTS FRIDAY Here's +Cali Lewis trying out Vantage.tv on the Oculus Rift! #ACLVR - Geek Beat - Google+
-
Installing Our Interlogix TruPortal and TruVision Systems
gkbt.co
We've been telling you about the cool Interlogix TruPortal badge access and TruVision security camera systems that our friend Todd Pacey from Pacey ...
-
DAILY VLOG: What do YOU want?! We would like to know what you want us to ...
plus.google.com
DAILY VLOG: What do YOU want?! We would like to know what you want us to vlog about. Let us know by posting, and using #GBVLOG and we will go ...
-
TBT: Remember the "Walk-man? Who remembers cassettes?
plus.google.com
TBT: Remember the "Walk-man? Who remembers cassettes? - Geek Beat - Google+
-
BACON AT THE #GEEKHOUSE! Thanks to Patron +Charles phillips for the bacon.…
plus.google.com
BACON AT THE #GEEKHOUSE! Thanks to Patron +Charles phillips for the bacon. +Cali Lewis has hidden it from the rest of the crew, however +John… - Geek ...
-
Looks like iOS 8.0.1 has problems and has been pulled - just a note to be…
plus.google.com
Looks like iOS 8.0.1 has problems and has been pulled - just a note to be cautious. - Geek Beat - Google+
-
In case you haven't heard, iOS 8.0.1 has problems - best not to update ...
plus.google.com
In case you haven't heard, iOS 8.0.1 has problems - best not to update right now. - David Foster - Google+
-
Last Chance to Pre-Order Visual Content Mastery In a last ditch effort to ...
plus.google.com
Last Chance to Pre-Order Visual Content Mastery In a last ditch effort to help as many people get access to this class as possible, I'm offering a… - ...
-
What's the Origin of the Word "Geek"?
www.youtube.com
If you're gonna call yourself a geek, you should probably know where the word came from right? Well, hard as it may be to swallow, the Germans ...
-
In case you missed it, Polycom RealPresence Group 500 Video Conferencing ...
plus.google.com
In case you missed it, Polycom RealPresence Group 500 Video Conferencing System - http://gkbt.co/1yiNBuz - Geek Beat - Google+
-
Did you know? 16 Awesome Google Features Most People Don’t Know About…
plus.google.com
Did you know? 16 Awesome Google Features Most People Don’t Know About http://gkbt.co/1qY9KrN - Geek Beat - Google+
-
Polycom RealPresence Group 500 Video Conferencing System
gkbt.co
We got a big new addition to the Geek House! Our friends from Polycom came by and installed the RealPresence Group 500 system - an awesome enterprise ...
-
Creating Wallpaper Slideshows in Windows 7 and Windows 8/8.1
gkbt.co
I thought I would give a brief tutorial on how to create slideshows using wall paper backgrounds as Geekbeat.TV has released some new wallpapers. For ...
-
MONSTERS IN THE #GEEKHOUSE ! Noel Lee, from Monster Products stopped by ...
plus.google.com
MONSTERS IN THE #GEEKHOUSE ! Noel Lee, from Monster Products stopped by the Geek House to hang with the Geek Beat crew. We jammed, we ate and yes...… ...
-
DAILY VLOG: Monsters in the Geek House!
www.youtube.com
Noel Lee, from Monster Products stopped by the Geek House to hang with the Geek Beat crew. We jammed, we ate and yes...Cali even scratched a bit! ...
-
You scream, I scream, we all scream for sex? Or Ice Cream? What do YOU ...
plus.google.com
You scream, I scream, we all scream for sex? Or Ice Cream? What do YOU think? - Geek Beat - Google+
-
DAILY VLOG: Mounting TVs in the Conference Room
www.youtube.com
John P. and David Foster work on getting two 50" TVs mounted in the conference room at the Geek House.
-
Sharks, Lasers and Drones, Oh My! [GB LIVE 0145]
www.youtube.com
Visit Http://GeekBeat.TV/Live145 for all show notes and links.
-
STAR WARS TUESDAY Han Solo in Carbonite Ice is Ready for Your Next Cantina…
plus.google.com
STAR WARS TUESDAY Han Solo in Carbonite Ice is Ready for Your Next Cantina Party - http://gkbt.co/1peVlsm - Geek Beat - Google+
-
My breakfast for the next many weeks.
plus.google.com
My breakfast for the next many weeks. - David Foster - Google+
-
Think you know all you need to know about Google? Well, think again. +Cali…
plus.google.com
Think you know all you need to know about Google? Well, think again. +Cali Lewis tells you some things you may not know in today's episode of Geek ...
-
What do Gummy's, Mountain Dew and 3D cameras have in common? Why +John…
plus.google.com
What do Gummy's, Mountain Dew and 3D cameras have in common? Why +John Pozadzides of course!!! Took this when he was prepping for the live show last… ...


An open source project adding AVR microcontroller support to Rust.
The avr-rust compiler, once existing as a fork, has since been merged into upstream Rust as of July 2020.
The standard Rust nightly compiler can be used to compile crates for AVR - no compiling from source required.
The recommended way to use avr-rust is via rustup using the official nightly version of the Rust compiler.
AVR compiler issues are tracked on the official Rust GitHub repository. After creation, the triage team will tag the issue as O-AVR for you.
nightly
and rust-src
via Rustup by typing the following snippet into a terminal.
The rust-src
component is required to allow Rust to compile libcore
for any chip being targeted.
$ rustup component add nightly rust-src
AVR can be enabled for a crate by running $ rustup override set nightly
in a terminal inside the root directory of the desired crate.


(.) trial patient treatment value patients power Gittins adaptive trials arm control designs allocation error distribution design UCB index case clinical critical type mean values pp. Figure sample number bias results welfare allocated standard {border-style experimental test KLU distributed px;} #ffffff;} MABP Villar hypothesis rate size trial, use Bayesian best normally statistical used using known probability However, bandit consider deviation empirical paper treatments (s.d.) compared normal rules statistic trial. arms based considered discount outcome scenario simulations state testing RGI case, density learning outcomes posterior randomisation reward time total Stat. assigned better choice effect endpoint function given lower offer patient-benefit prior random rare reduced terms treated two-arm (i.e. Bernoulli RBI Section TSB achieve appropriate chosen difference different estimated expected highest index-based multi-armed observed process proportion px; real response-adaptive sampling sequential simulation work {font-family Index corresponds delay designs, effects estimate factor font-size greater implemented important indices level limitation marked max optimal probabilities research selection shows significant solution variable CUC Cambridge FWER Jones Note Notice RCT TAILoR TPB Table Trippa achieved advantages arm. continuous decision defined distributions double; dynamic early example, explained higher i.e. is, joint limitations operating problem resulting rule scenarios superior treatment. trials, variance (a) (b) (or Ann. RGI, Type Wason alternative approach assumed border-color border-width characteristics classic common designs. disease distribution. dropped drug endpoints estimates fixed follow four-arm good greatly horizon improve increase independent information introduced large make moderate patients, performance population procedures provided respect sampled significantly similar sizes smaller solid; sufficient th-percentile that, theoretical {font-style {font-weight ... Appendix Batched Biometrika Controlled FR, Following GI, Let Markov Procedure Randomised TS, University approaches associated assumption bandit-based bold bounds case. clear close computed considerations context controlled courier; cov covariates current d=.. design. detect development discussion displayed dotted effective em; equal ethical expect expected, factors favouring frequentist general having high improvement included including incorrectly increases issue k=, larger levels low marginal means mechanism methods multi-arm needed negatively observations order paper, patient, patients. performs policy potential power. procedure pt;} randomised rates receiving recruited regret reported required run semi-randomised setting severe situation slightly small space studies suitable theory treatment's treatment, trials. unknown variant vertical welfare,


{% extends 'page.html' %} {% block title %}Takeout - EqBeats{% endblock %} {% block js %}{% endblock %} {% block content %}
Your archive will contain every track that you have uploaded to EqBeats in its original upload format, along with its album art and statistics in CSV format.
{% if not job %}You don't have any tracks to archive.
{% elif job.status not in ("finished", "failed") %}Your archive is being created... Check again
{% elif not job.result %}Either you have no tracks to export, or something else went wrong. Retry?
{% else %}Download your archive ({{ job.meta['size'] }}B)
Added new tracks since your archive was created? Regenerate your archive
{% endif %} {% endblock %}


The newHelpWindow opens the help.html in a new window.
The open.window Syntax is window.open(URL, name, specs). The Url is help.html and specs is strWindowFeatures. var strWindowFeatures contains all the features of the new window.
windowObjectReference = window.open("../pages/help.html", "_blank", strWindowFeatures);


Table of Contents
Moby-Dick
Copyright
Etymology.
Extracts
Loomings
The Carpet-Bag
The Spouter-Inn
The Counterpane
Breakfast
The Street
The Chapel
The Pulpit
The Sermon
A Bosom Friend
The Chase—First Day
The Chase—Second Day
The Chase.—Third Day
Epilogue


Welcome to Candoia.
Candoia is a platform for realizing Mining Software Repository (MSR) Tools, and more broadly software engineering tools. Candoia is to MSR tools as Android and iOS are to mobile applications, and Atom is to text editors. Like these platforms, Candoia provides suitable abstractions for building MSR tools and handles the details of integration with VCS, bug databases, language parsers, visualization, etc. A tool developer prototypes their idea as Candoia apps and can publish them. Practitioners install Candoia platform and can browse through available apps, download them, and if necessary customize them for their own needs.
Support and Other Information
For more information about the Candoia platform please contact Hridesh Rajan at hridesh AT iastate DOT edu.
Authors and Contributors
Candoia platform is developed at Iowa State University. The development is led by Hridesh Rajan (@hridesh) and project contributors include Nitin Tiwari (@nmtiwari), Ganesha Upadhyaya (@gupadhyaya), Dalton Mills (@ddmills), Eric Lin (@eyhlin), and Trey Erenberger (@TErenberger).


Buy a Guardian classic photograph: an Asian resident of Blackburn
This week in our series of exclusive Guardian print sales we have an undated shot of Blackburn, Lancashire, by the Guardian photographer Don McPhee
This undated shot of urban Blackburn, by the Guardian photographer Don McPhee, has a caption scrawled at the bottom: “Searching out the Asian vote in Blackburn.” In the 1970s, when McPhee joined the paper, community tensions increased and support grew for the far right after the arrival of a large number of Asian immigrants in northern England. McPhee, who was based in Manchester, became known for stories such as this, and his photographs frequently depicted contemporary social and political issues. The lone, slightly out of focus figure in the foreground has her head turned from McPhee’s lens, focusing the shot on the town behind.
Words: Jen Bowey
Buy your exclusive print here
Price
£50, including free delivery
Prints
Photographs are 30x40cm and presented on museum-grade, fine-art paper stocks, with archival standards guaranteeing quality for 100+ years. All editions are printed and quality-checked by experts at theprintspace, the UK’s leading photo and fine-art print provider.
Delivery
Artworks are dispatched via Royal Mail and delivered within three to five working days. theprintspace takes great care in packaging your artwork, with a no-quibble satisfaction guarantee should you be unhappy in any way. Global shipping is available.
Contact
Email<EMAIL_ADDRESS>| Phone: 0207 324 7103 (Lines open 10am – 6pm, Monday – Saturday)


WITNESS LIST Transportation Committee February 2, 2000-9:00A Charge #3 On: Barton, Karey (Comptroller of Public Accounts) Flores, Elizabeth (Texas Border Infrastructure Coalition) Laney, David (Texas Transportation Commission) Nichols, Robert (Texas Transportation Commission) White, Steve (Comptroller of Public Accounts) Winstead, Pete (Texas Turnpike Authority)


Comment submit failed
The comment couldn't be submitted to the server. It's probably due to one
of the following reasons:
Comment body was empty, or only contained whitespace
Comment had no author, or author was just whitespace
Comment to long (max 1500 char)
Author to long (max 40 char)
Comment contained an HTML a tag


Spring Configuration - 5.0
April 22, 2015
Notes
- Be careful of trusting IntelliJ too much. It sometimes show problems in Spring that arent there.
- Layout of resources: webapp/** is visible if user knows the URL, but webapp/WEB-INF/** is only acessible from controllers.
- Difference between mapping spring dispatcher servlet to "/" and to "/*": 1) allow tomcat default servlet to handle jsps 2) spring takes over everything
Spring DI
Core Beans
- TdsContext
- calls ThreddsConfig.init(), creates TdsConfigMapper
- DataRootManager
- *TdsContext
- *DataRootPathMatcher
- *ConfigCatalogManager
- *ConfigCatalogCache
- *FeatureCollectionCache
- DatasetManager
- *DataRootManager
- *FeatureCollectionCache
- ConfigCatalogManager
- *TdsContext
- -DataRootPathMatcher
- -DatasetManager
- -ConfigCatalogCache
- TdsInit
- *TdsContext
- -DatasetManager
- ConfigCatalogCache
(* = read, - = write)
Startup
Notes
- http://stackoverflow.com/questions/3652090/difference-between-applicationcontext-xml-and-spring-servlet-xml-in-spring
- The applicationContext.xml defines the beans for the "root webapp context", i.e. the context associated with the webapp.
- The spring-servlet.xml defines the beans for one servlet's app context. There can be many of these in a webapp, one per Spring servlet. We only have one.
- Beans in spring-servlet.xml can reference beans in applicationContext.xml, but not vice versa.
- All Spring MVC controllers must go in the spring-servlet.xml context.
- In most simple cases, the applicationContext.xml context is unnecessary. It is generally used to contain beans that are shared between all servlets in a webapp. If you only have one servlet, then there's not really much point, unless you have a specific use for it.
- We use applicationContext.xml to define generral TDS beans, and spring-servlet.xml to devine mvc (controllers, etc).
- Dont do any heavy processing in the bean initialization phase, just get the beans wired in
- So bean constructors must not depend on anything else, or assume the order of wiring.
- Do serious initialization from TdsInit, by listening for ContextRefreshedEvent
- http://stackoverflow.com/questions/6684451/executing-a-java-class-at-application-startup-using-spring-mvc
Sequence
- Tomcat loads thredds.war with /WEB-INF/web.xml
- org.springframework.web.context.ContextLoaderListener listens for context loading
- beans in applicationContext.xml are created and wired, annotations are found and wired
- ContextRefreshedEvent caught by TdsInit
- read threddsConfig.xml and set values
- register dataSources with DatasetManager
- call ConfigCatalogManager.init()
- ConfigCatalogManager read config catalogs
- add dataRoots to DataRootPathMatcher
- add catalogs to ConfigCatalogCache
- add ncml datasets to DatasetManager (may eliminate)
threddsConfig.xml
- TdsInit using ThreddsConfig
- ThreddsConfig.init() called from TdsContext.afterPropertiesSet()
- TdsConfigMapper seems to be ethan's replacement ?? seems not used
- none of it using autowire
Spring MVC
http://docs.spring.io/spring/docs/current/spring-framework-reference/html/mvc.html
Lots of ways, we want to standardize on one or a few idioms.
Handle completely
- see CdmRemoteController
- return ResponseEntity<String>
- errors: handle these in the controller
ModelView
- use a view technology
- return a ModelView
- errors: throw exception, grab in an exception handler; essentially a way to switch return types
- see LocalCatalogServiceController
Validation
- @Valid JSP 303, with hibernate implementation
- org.springframework.validation.Validator
- must put initBinder() into Controller
- see RemoteCatalogServiceController
- dont need DataBinder
Error handling
- Errors are handled by throwing an exception which is picked up by an ExceptionHandler, eg TdsErrorHandling
- let exceptions propagate out of the controllers - do not catch unless necessary
- essentially a way to switch return types
- see https://spring.io/blog/2013/11/01/exception-handling-in-spring-mvc
Servlets and Controllers mappings summary
http://stackoverflow.com/questions/12569308/spring-difference-of-and-with-regards-to-paths
User Visible Changes from 4.6
- all catalogs (except root) must start with /catalog
- eg previous /thredds/idd/ncep.xml now must be /thredds/catalog/idd/ncep.xml
- catalog.xml is redirected to /catalog/catalog.xml in RootController
- previous /thredds/serverInfo.xml now must be /thredds/info/serverInfo.xml
Valid TDS URLs
| Controller Class |
prefix |
URLs |
Notes |
| RootController |
/ |
"/", "/catalog.html" ->redirect:/catalog/catalog.html
"/catalog.xml" -> redirect:/catalog/catalog.xml
"*.css", "*.gif", "*.jpg", "*.png" -> look in content/public |
|
| AdminCollectionController |
/admin/collection |
/showStatus[.csv]
/trigger
/showFmrc |
trigger requires tdsTrigger role (used by TDM) |
| AdminDebugController |
/admin/debug |
?cmd |
|
| AdminDirDisplayController |
/admin/dir |
/content/{path}
/content/tdm/{path}
/logs/{path} -> tomcat logs
/dataDir/{path} |
view=threddsFileView |
| AdminLogController |
/admin/log |
/access/current, /access/, /access/{filename}
/thredds/current, /thredds/, /thredds/{filename}
/dataroots.txt
|
requires tdsMonitor role (used by TdsMonitor) |
| AdminSpringInfoController |
/admin/spring |
/showControllers |
|
| CatalogServiceController |
/catalog |
/{path}/catalogName.[xml|html] |
needs catalog prefix now |
| CdmRemoteController |
/cdmremote |
/{path}?{cdmr query} (ref) |
|
| CdmrfController |
/cdmrfeature |
/{path}?{cdmrf query} |
keep? |
| Dap4Servlet |
/dap4 |
/{path}?{dap4 query} |
TODO |
| OpendapServlet |
/dodsC |
/{path}?{dap2 query} |
TODO: break into client/server, seperate DTS |
| FileServerController |
/fileServer |
/{path} |
|
| ServerInfoController |
/info |
/serverInfo.html
/serverInfo.xml
/serverVersion.txt |
needs info prefix now |
| MetadataController |
/metadata |
/{path}?accept |
metadata=vars |
| NcssController |
/ncss
|
/{path}?{ncss query} |
/ncss/grid ? |
| NcssDatasetInfoController |
getDatasetDescription |
/ncss/**/dataset.html
/ncss/**/dataset.xml |
remove? |
| NcssDatasetInfoController |
getStations |
/ncss/**/station.xml |
remove? |
| NcssDatasetBoundariesController |
getDatasetBoundaries |
/ncss/**/datasetBoundaries.xml |
remove? |
| RadarServerController |
/radarServer2 |
/{path}?{radar query} |
|
| RemoteCatalogServiceController |
/remoteCatalogService |
?command,dataset |
|
| RestrictedAccessController |
/restrictedAccess |
|
|
| ViewerController |
/view |
/{viewer}.jnlp |
|
| WCSController |
/wcs |
/{path}?{wcs query} |
Needs to be cleaned up |
Debugging
1) Look in serverStartup.log and search for messages with "RequestMappingHandlerMapping: Mapped" :
712013-10-23T13:54:40.342-0600 [ 17458][ ] INFO org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerMapping: Mapped "{[/admin/collection || /admin/collection/trigger],methods=[],params=[],headers=[],consumes=[],produces=[],custom=[]}" onto protected org.springframework.web.servlet.ModelAndView thredds.server.admin.CollectionController.handleCollectionTriggers(javax.servlet.http.HttpServletRequest,javax.servlet.http.HttpServletResponse) throws java.lang.Exception
2) set these to debug level:
<logger name="org.springframework.http" level="info" additivity="false">
<appender-ref ref="threddsServlet"/>
</logger>
<logger name="org.springframework.web" level="info" additivity="false">
<appender-ref ref="threddsServlet"/>
</logger>


- Getting Started
- Developer Documentation
- Administrative Documentation
- Community and Ecosystem
- Drivers
- JavaScript (wiki, docs)
- Python (wiki, docs)
- Ruby (wiki, docs)
- PHP (wiki, docs)
- Perl (wiki, docs)
- Java (wiki, docs)
- Scala (wiki, docs)
- C# (wiki, docs)
- C (wiki, docs)
- C++ (wiki, docs)
- Haskell (wiki, docs)
- Erlang (wiki, docs)


{% block mute_alerts_on_block %}
{% if print_debug == 'True' %}
DEBUG
:: /utilities mute_alerts_on_block
{% endif %}
{% if display_message %}
ERROR
message
: {{ display_message }}
{% endif %}
metric_patterns
input below and set an expiry
in seconds for how long you was to mute alerts for. Muting alerts does not stop analysis
or the recording of anomalies on the defined metrics, it only prevents alerts from being sent for these metrics. Metrics that are
muted are handled like settings.SKYLINE_FEEDBACK_METRICS
, which means that they will only be analysed once every 10
minutes.namespace
and/or metric_patterns
and set the expiry
to 1 to override the previous expiry
.
Muted metrics that have reached the expiry
period are removed every 5 minutes, so once the expiry
is reached the
metric will be removed from the muted state within 5 minutes.None
| Metric | timestamp | Until |
|---|---|---|
| {{ metric }} | {{ metrics_muted[metric]['timestamp'] }} | {{ metrics_muted[metric]['until'] }} |


Sorry, something went wrong!
An error occurred when processing your request. Please try again. If you find this error re-occurring frequently please contact us.
An error occurred when processing your request. Please try again. If you find this error re-occurring frequently please contact us.


This example illustrates the use of PicaEditor as ES Module.
Please check out the repository and run npm run dev to execute vite!
npm run dev


--- title: White Jazz added to library date: 2003-10-21T10:00:00.000Z ---
First update in two months (hey, this is the middle of the HSC - gimme a break! New addition to the library: 'White Jazz', by James Ellroy.


Welcome to Pig Dice
First to 100 wins!


HOME
REGISTER
SEARCH
ABOUT
REGISTER A LOST ID
First name
Last name
ID Number
Phone Number
Email
Address
Post Code
Submit
Your details have been captured, you will receive a notification once your ID has been found
First name:
Last name:
ID Number:
Phone Number:
Email:
Address:
Post Code:


What are the best practices associated with using classes vs. ids?
IDs
Best practices: IDs should be unique, there will only ever be one of this in the entire web page
Example: the main logo of a website, which should be unique will be assigned an id. See below
An id attribute assigned in HTML: id = "mainLogo"
An id attribute assigned the font color red in a seperate CSS file: #mainLogo: {color: red};
#mainLogo{
color: red;
}
Classes
Best practices: Classes can be common, there should be groups of similar elements under each class
Example: there are many blog posts, so they should be assigned a class. See below
A class attribute assigned in HTML: class = "blogPosts"
A class attribute assigned the font color pink in a seperate CSSfile: .blogPosts {color: pink};
.blogPosts{
color: pink;
}


'Chariots of Fire' (1981)
A retrospective movie review by Walter Frith
<EMAIL_ADDRESS>Member of the ‘Online Film Critics Society' http://ofcs.org/ofcs/
The biggest surprise in the form of a Best Picture Oscar in the last twenty years definitely came in 1981 when 'Chariots of Fire' upset 'Atlantic City', 'On Golden Pond', 'Raiders of the Lost Ark' and 'Reds' to capture the Academy's highest honour. It had been an interesting and evenly balanced evening up to the announcement of its victory. A Best Picture winner is generally determined by a film's direction and screen writing. 'Reds', 'On Golden Pond', and 'Chariots of Fire' all won three major awards so the evening's momentum had been building to an exciting finish. 'Reds' had captured Best Director (Warren Beatty), Best Supporting Actress (Maureen Stapleton) and Best Cinematography (Vittorio Storaro). 'On Golden Pond had won Best Actor (Henry Fonda), Best Actress (Katharine Hepburn) and Best Screenplay Adaptation (Ernest Thompson). 'Chariots of Fire' grabbed Best Original Music Score, its greatest asset (Vangelis), Best Costume Design and Best Original Screenplay (Colin Welland). When actress Loretta Young opened the envelope, even she was very surprised and the audience went into a surprised frenzy itself when 'Chariots of Fire' was indeed named Best Picture. Producer David Putnam was very gracious in his acceptance speech. He invited director Hugh Hudson on stage to stand with him in giving the Academy many thanks for acknowledging the film.
'Chariots of Fire' is a film that has been forgotten in many ways and that's a shame because of the sheer nature of it's culturally nutritious message in the form of demonstrating the triumph of the human spirit. Upon seeing it for the first time, one may dismiss it as lacking in character development, with a documentary style of direction and British accents that may be too thick for many to understand. My mother had a hard time understanding many of the dialogue sequences but my father actually did shed a few tears in the film's exposure of two athletes, one from England, and one from Scotland, who capture gold medals at the 1924 Paris Olympics. The film is an acquired taste for many and actually improves with each viewing.
The movie tells the story of Englishman Harold Abrahams (Ben Cross) and Scotsman Eric Liddell (Ian Charleson, who died in 1990 from AIDS). Abrahams is a freshman at Cambridge University and Eric Liddell is a devoted citizen of Scotland who believes deeply in his church and the teachings of God. He later became a missionary in World War II. He died in occupied China at the end of the war and his fellow countrymen and women mourned such a great loss. The film shows their lives before the Olympic games, how they conduct their lives, their romances, their passions, their training and their frailties. Of particular note is the performance of Ian Holm as Sam Mussabini, Harold Abrahams' trainer. He would receive the film's only acting nomination and received it in the Best Supporting Actor category.
What works best of all in 'Chariots of Fire' is the music score by Vangelis. There are many scenes of competitive track and field, the category that both men enter the Olympics under, and the music set to some of the scenes is worth the price of admission alone. Director Hugh Hudson finds tremendous emotion in putting very fitting music to many scenes and slowing the scenes right down and since I am a huge fan of slow motion if it's used properly, I thoroughly enjoyed every minute of this film since the slow motion scenes stand out perhaps better than anywhere else I've ever seen them used. Clint Eastwood never uses slow motion and Brian De Palma uses it too much.
It's a shame that Hugh Hudson's career as a big time movie director never really came to fruition after 'Chariots of Fire'. In 1984, he directed 'Greystoke: The Legend of Tarzan, Lord of the Apes' with little success and his career was pretty much decided upon with 1985's awful 'Revolution' that caused Al Pacino to go into a four year hiatus. At least Hudson had one great film in him and I hope he finds a repeating triumph later in his career as great as 'Chariots of Fire' and although he didn't win the Best Director Oscar, 'Chariots of Fire' will live forever in immortality with Oscar gold as its defence of greatness.
Visit FILM FOLLOW-UP by Walter Frith http://www.cgocable.net/~wfrith/movies.htm
For browsers without java enhancement or if you experience problems with the above link, go to:
http://www.cgocable.net/~wfrith/mainpage.htm
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


We usually set the x,y positions of visual elements from data. But sometimes we want to give suggestions rather than absolute positions. Today we'll do this using physics simulations.
I've modified the code so that it does the simulation "silently" before laying out any of the visible elements. This mode allows you to define a force-directed layout that looks like a static layout.


This project is a design of a music application that takes out the flaws and bad designs in existing solutions. The features of this music application include music management with playlists, categorization based on genres, songs, artists, etc. and browsing for music across the application.
The first step in this redesign is to interview users of popular music applications out right now. In these interviews, we asked users about their likes and dislikes. We discovered how they use their applications and came up with user scenarios. We continued the process by doing competitive analysis across different music applications and saw commonalities and also differences. We looked at the way different music applications organized their pages and also what genres they had to expedite user's search processes. We compared the flows of different music applications and decided what were less good flows and what were better flows. The final step before wireframing was making design decisions based on the information that we have found.


GameBoy Zero Builds
About a year ago I build a GameBoy Zero (a Raspberry Pi Zero in a gameboy shell) and this weekend I finished a second one. You can see some picture of the first one (black case) and the new one (transparant, blue shell) below. While I thought about doing a proper build log, there are others who did a much better job at documenting how to build one than I would have. So if you are interested in building on of there for yourself, have a look at the link at the bottom, otherwise enjoy the pictures.
New Build
This is the second GameBoy Zero I’ve built. This one is based on Kite’s Circuit Sword Lite, which has a few advantages over the Super-AIO board he released earlier. There is a PCB to have buttons on the back that use the same membranes as the ABXY buttons on the front, much better than the “clicky” ones I used in the previous build. Furthermore, I used all available 3D printed parts, ensured wires were the right length, and only added a few dabs of hot glue strategically. So the inside part is very clean, as it should be, since it is visible through the translucent case. Very happy how this one turned out.
Old Build
First build, looks great on the outside, but the inside is a little messy. There were a few issues with the soldering (my iron broke completing the last few connections and probably wasn’t running at the correct temperature for most of this project), and as I didn’t use as many 3D Printed parts as I should have, a lot of hot glue is used to keep things in place. The shoulder buttons however aren’t great and make playing some GBA and SNES games annoying (and loud as they are “clicky”). It is still a great device for playing games that don’t rely on the shoulder buttons (much).
Links
Here is an overview of resources I used for my builds. Note that depending on the board you use, and the options you want, you might need to check additional websites.
- SudoMod forum: Here you can find a ton of information… Start here! In the Buy/Sell section you’ll also find threads to order the boards you need.
- Arron Morris’ Build: You can see how he build his. While using a different board, a lot of the steps are the same for the Super-AIO and Circuit Sword Lite.
- Retro Ghost’s Build: Step-by-step instructions how Retro Ghost build his GBZ using a Circuit Sword Lite.
- Kite’s GitHub Repo - For the Circuit Sword Lite: Official instructions how to set up the electronics. The Circuit Sword Lite comes as a kit with all electronics you need.
- Kite’s GitHub Repo - For the Super-AIO board: this one is now a little obsolete. Though, the archived manual contains a lot of information still worth having a look at.
Liked this post ? You can buy me a coffee


The classes and tools in this module should work with any symetric IO system.
The main class of the module (IOSystem) has attributes .A, .L, ... corresponding to a standard IO classification. Data can e assigned directly to the attributes or, in case of EXIOBASE 2.0, also by calling ‘convert_exiobase20’ and loading the converted txt files.
Txt files together with a ini file are used for storing data. In addition, the IOSystem with all data can also be pickled (binary). Conversion to hdf5 and mat should be implemented...
| core.EXIOError: | Base class for errors concerning EXIOBASE download and structure. |
|---|---|
| core.IO_CALCError: | |
| Base class for errors occuring during the calculation of the IO System | |
| IOSystem: | Main class for accessing and calculating the IO system |
| convert_exiobase20(): | |
|---|---|
| Converts exiobase 2.0 download (CREEA) with transactions to separate data/header files. | |
| build_agg_vec(): | |
| Builds an combined aggregation vector based on various classifications | |
| load_pickle(): | Reads the data for the IOSystem from a pickle file |
| load_test(): | Reads the small test mrio from ./test_mrio |
Standard abbreviation for that module: mr Dependencies:
numpy
scipy
pandas
matplotlib
imported otherwise)
Must save index_col and header in ini
| Authors: | Konstantin Stadler |
|---|---|
| license: | BSD 2-Clause License |
Class which gathers all information for one extension of the IOSystem
Attributes
| name | (string) Every extension must have a name. This can (reconmmended) be the name of the instance. However, for plotting and saving this can also be changed. This name will also be used for saving the extension as prefix to the attributes. |
| F | (pandas.DataFrame) Total direct impacts with columns as Z. Index with ([‘stressor’, ‘compartment’]). The second level ‘compartment’ is optional |
| FY | (pandas.DataFrame) Extension of final demand with columns a y and index as F |
| S | (pandas.DataFrame) Direct impact (extensions) coefficients with multiindex as F |
| M | (pandas.DataFrame) Multipliers with multiindex as F |
| D_fp | (pandas.DataFrame) Footprint of consumption, further specification with _reg (per region) or _cap (per capita) possible |
| D_terr | (pandas.DataFrame) Territorial accounts, further specification with _reg (per region) or _cap (per capita) possible |
| D_imp | (pandas.DataFrame) Import accounts (amount of ‘extension’ embodied in imports), further specification with _reg (per region) or _cap (per capita) possible |
| D_exp | (pandas.DataFrame) Export accounts (amount of ‘extension’ embodied in exports), further specification with _reg (per region) or _cap (per capita) possible |
| unit | (pandas.DataFrame) Unit for each row of the extension |
| iosystem | (string) Note for the IOSystem, recommended to be ‘pxp’ or ‘ixi’ for product by product or industry by industry. However, this can be any string and can have more information if needed (eg for different technoloy assumptions) The string will be passed to the IOSystem |
| version | (string) This can be used as a version tracking system. |
| year | (int) Baseyear of the extension data |
Methods
Calculates the missing part of the extension plus accounts
This method uses y aggregated across specified y categories
Calculates:
D, M, D_fp, D_terr_sector, D_imp_sector, D_exp_sector
D_fp_reg, D_terr_reg, D_imp_reg, D_exp_reg,
D_fp_cap, D_terr_cap, D_imp_cap, D_exp_cap
| Parameters : | x : pandas.DataFrame or numpy.array
L : pandas.DataFrame or numpy.array
Y_agg : pandas.DataFrame or np.array
population : pandas.DataFrame or np.array, optional
|
|---|
Notes
Only attributes which are not None are recalculated (for D_* this is checked for each group (reg, cap, and w/o appendix)).
Returns a dict with all available data for a row in the extension
| Parameters : | row : tuple, list, string
name : string, optional
|
|---|---|
| Returns : | dict object with the data (pandas DataFrame)for the specific rows |
Returns the name of the rows of the extension
Returns a extension disaggregated into the regional source
The returned extension included F, FY if present in the original extension, and units.
| Parameters : | Name : string (optional)
|
|---|---|
| Returns : | Extension |
Plots D_terr, D_fp, D_imp and D_exp for the specified row
Per default the accounts are plotted as bar charts. However, any valid keyword for the pandas.DataFrame.plot method can be passed
| Parameters : | row : string, tuple or int
per_capita : boolean, optional
file_name : path string, optional
file_dpi : int, optional
**kwargs : key word arguments, optional
|
|---|---|
| Returns : | Axis as given by pandas.DataFrame.plot, None in case of errors |
Writes a report to the given path for the regional accounts
The report consists of a text file and a folder with the pics (both names following parameter name)
| Parameters : | path : string
per_region : boolean, optional
per_capita : boolean, optional
pic_size : int, optional
format : string, optional
ffname : string, optional
**kwargs : key word arguments, optional
|
|---|
Class containing a whole EE MRIO System
The class collects pandas dataframes for a whole EE MRIO system. The attributes for the trade matrices (Z, L, A, x, Y) can be set directly, extensions are given as dictionaries containing F, FY, D, m, D_fp, D_terr, D_imp, D_exp
Notes
The attributes and extension dictionary entries are pandas.DataFrame with an MultiIndex. This index must have the specified level names.
Attributes
| Z | (pandas.DataFrame) Symetric input output table (flows) with country and sectors as MultiIndex with names ‘region’ and ‘sector’ for columns and index |
| Y | (pandas.DataFrame) final demand with MultiIndex with index.names = ([‘region’, ‘sector’]) and column.names = ([‘region’, ‘category’]) |
| A | (pandas.DataFrame) coefficient input output table, MultiTndex as Z |
| L | (pandas.DataFrame) Leontief, MultiTndex as Z |
| unit | (pandas.DataFrame) Unit for each row of Z |
| iosystem | (string) Note for the IOSystem, recommended to be ‘pxp’ or ‘ixi’ for product by product or industry by industry. However, this can be any string and can have more information if needed (eg for different technoloy assumptions) The string will be passed to the IOSystem |
| version | (string) This can be used as a version tracking system. |
| year | (string or int) Baseyear of the IOSystem |
| price | (string) Price system of the IO (current or constant prices) |
| name | (string, optional) Name of the IOSystem, default is ‘IO’ |
| **kwargs | (dictonary) Extensions are given as dictionaries and will be passed to the Extension class. The dict must contain a key with a value for ‘name’, this can be the same as the name of the dict. For the further keys see class Extension |
Methods
Aggregates the IO system
This removes all data which can’t be aggregated (coefficients) these must be recalculated afterwards
Aggregation can be given as vector (use pymrio.build_agg_vec) or aggregation matrix. In the case of a vector this must be of length self.get_regions() / self.get_sectors() respectively with the new position as integer or a string of the new name. In the case of strings the final output order can be specified in region_dict and sector_dict in the format {str1 = int_pos, str2 = int_pos, ...}.
If the sector / region concordance is given as matrix or numerical vector, generic names will be used for the new sectors/regions. One can define specific names by defining the aggregation as string vector
| Parameters : | region_agg : list or array, optional
sector_agg : list or arrays, optional
region_dict : dict, optional
secotor_dict : dict, optional
recalc : boolean, optional
inplace : boolean, optional
|
|---|---|
| Returns : | Aggregated IOSystem (if inplace is False) |
Calculates missing parts of the IOSystem and all extensions.
This method call calc_system and calc_extensions
| Parameters : | recalc : boolean, optional
|
|---|
Calculates the extension and their accounts
For the calculation, y is aggregated across specified y categories The method calls .calc_system of each extension (or these given in the extensions parameter)
| Parameters : | extensions : list of strings, optional
Y_agg : pandas.DataFrame or np.array, optional
|
|---|
Calculates the missing part of the core IOSystem
The method checks Z, x, A, L and calculates all which are None
Returns a generator for the extension in the IOSystem
| Parameters : | data : boolean, optional
|
|---|---|
| Returns : | generator |
Remove extension from IOSystem
For single Extensions the same can be achieved with del IOSystem_name.Extension_name
| Parameters : | ext : string or list, optional
|
|---|
Generates a report to the given path for all extension
This method calls .report_accounts for all extensions
| Parameters : | path : string
per_region : boolean, optional
per_capita : boolean, optional
pic_size : int, optional
format : string, optional
ffname : string, optional
**kwargs : key word arguments, optional
|
|---|
Writes a report to the given path for all country specific accounts
| Parameters : | path : string
extensions : list of strings, optional
pic_size : int
format : string
|
|---|
Saves the system and all extensions
Extensions are saved in separate folders (names based on extension)
Parameters are passed to the .save methods of the IOSystem and Extensions
Builds an combined aggregation vector based on various classifications
This function build an aggregation vector based on the order in agg_vec. The naming and actual mapping is given in **source, either explicitly or by pointing to a folder with the mapping.
>>> build_agg_vec(['EU', 'OECD'], path = 'test')
['EU', 'EU', 'EU', 'OECD', 'REST', 'REST']
>>> build_agg_vec(['OECD', 'EU'], path = 'test', miss='RoW')
['OECD', 'EU', 'OECD', 'OECD', 'RoW', 'RoW']
>>> build_agg_vec(['EU', 'orig_regions'], path = 'test')
['EU', 'EU', 'EU', 'reg4', 'reg5', 'reg6']
>>> build_agg_vec(['supreg1', 'other'], path = 'test',
>>> other = [None, None, 'other1', 'other1', 'other2', 'other2'])
['supreg1', 'supreg1', 'other1', 'other1', 'other2', 'other2']
| Parameters : | agg_vec : list
**source : list or string
Returns: list |
|---|
Calculate the A matrix (coefficients) from Z and x
| Parameters : | Z : pandas.DataFrame or numpy.array
x : pandas.DataFrame or numpy.array
|
|---|---|
| Returns : | pandas.DataFrame or numpy.array
|
Calculate the Leontief L from A
| Parameters : | A : pandas.DataFrame or numpy.array
|
|---|---|
| Returns : | pandas.DataFrame or numpy.array
|
Calculate multipliers of the extensions
| Parameters : | L : pandas.DataFrame or numpy.array
S : pandas.DataFrame or numpy.array
|
|---|---|
| Returns : | pandas.DataFrame or numpy.array
|
Calculate extensions/factor inputs coefficients
| Parameters : | F : pandas.DataFrame or numpy.array
x : pandas.DataFrame or numpy.array
|
|---|---|
| Returns : | pandas.DataFrame or numpy.array
|
calculate the Z matrix (flows) from A and x
| Parameters : | A : pandas.DataFrame or numpy.array
x : pandas.DataFrame or numpy.array
|
|---|---|
| Returns : | pandas.DataFrame or numpy.array
|
Calculate sector specific footprints, terr, imp and exp accounts
| Parameters : | L : pandas.DataFrame
S : pandas.DataFrame
Y : pandas.DataFrame
nr_countries : int
nr_sectors : int
The total industry output x for the calculation is recalculated from L and y |
|---|---|
| Returns : | Tuple
|
Calculate total impacts (footprints of consumption Y)
| Parameters : | M : pandas.DataFrame or numpy.array
Y : pandas.DataFrame or numpy.array
TODO - this must be completely redone (D, check for dataframe, ...) Returns ——- pandas.DataFrame or numpy.array
The calcubased on multipliers M and finald demand Y |
|---|
Calculate the industry output x from the Z and Y matrix
| Parameters : | Z : pandas.DataFrame or numpy.array
Y : pandas.DataFrame or numpy.array
|
|---|---|
| Returns : | pandas.DataFrame or numpy.array
|
Concatenate extensions
| Parameters : | extensions : Extensions
name : string
|
|---|---|
| Returns : | Concatenated extension |
Loads a IOSystem or Extension from a ini files
This function can be used to load a IOSystem or Extension specified in a ini file. DataFrames (tables) are loaded from text or binary pickle files. For the latter, the extension .pkl or .pickle is assumed, in all other case the tables are assumed to be in txt format.
| Parameters : | path : string
recursive : boolean, optional
ini : string, optional
subini: dict, optional
|
|---|
Loads the whole IOSystem with Extensions given in path
This just calls pymrio.load with recursive = True. If several ini files are present, use the low level load function directly.
| Parameters : | path : string
|
|---|
Returns a small test MRIO
This function can be used as an example of how to parse an IOSystem
| Returns : | IOSystem |
|---|
Parse the exiobase 2.2 source files for the IOSystem
The function parse product by product and industry by industry source file with flow matrices (Z)
The A matrix can than be calculated within the IOSystem
| Parameters : | path : string
charact : string, optional
iosystem : string, optional
version : string, optional
popvector : string or pd.DataFrame, optional
|
|---|---|
| Returns : | IOSystem
|
| Raises : | EXIOError
|


Robbie Savage's Premier League predictions as Arsenal set to struggle again
The BT Sport pundit also tips Jose Mourinho's winning start to continue while there are difficult tests for Man City and Man Utd, and a bottom of the table clash
by Robbie Savage, https://www.mirror.co.uk/authors/robbie-savage/Robbie Savage predicts another difficult week for Arsenal after their run of five Premier League matches without a win.
The Gunners head to Carrow Road for the first fixture in Freddie Ljungberg's interim reign following Unai Emery's sacking.
They face a Norwich side fresh off the back of a 2-0 win away at Everton and with hopes of sparking a resurgence to lift them out of the relegation zone.
Across north London, Arsenal's rivals Tottenham have also faced managerial upheaval, and Sav reckons Jose Mourinho's winning start will continue.
Spurs got off to a flyer under their new boss with their first win on the road since January last week.
And they can follow that up with another victory as they welcome the visit of Bournemouth on Saturday.
The battle for the title rolls on, and Sav feels all of the top four will get a favourable result this weekend.
Liverpool host Brighton at Anfield as they bid to maintain their eight-point lead over Leicester .
The Foxes are preparing to face Everton at home, in what could be the final curtain on Marco Silva's time with the Toffees should they fail to come away with any points.
Defending champions Man City are hot on the tail of the league leaders after a big victory against Chelsea last week, but must navigate a tricky trip to Newcastle , where they lost last season.
Speaking of Chelsea, they're in action at home to struggling West Ham , with Hammers boss Mauricio Pellegrini another manager under pressure.
At the foot of the table Southampton and Watford go head to head at St Marys with both sides in desperate need of a win.
Elsewhere Burnley and Palace meet at Turf Moor, while high fliers Wolves and Sheffield United clash at Molineux.
And rounding off the weekend's action, Man Utd prepare for the visit of Aston Villa in Sunday's late kick-off.
Here's how Sav sees the fixtures panning out...
Robbie Savage's Premier League predictions
Newcastle 0-2 Man City
Burnley 1-0 Crystal Palace
Chelsea 2-0 West Ham
Liverpool 3-0 Brighton
Tottenham 2-0 Bournemouth
Southampton 1-0 Watford
Norwich 1-1 Arsenal
Wolves 1-1 Sheffield Utd
Leicester 2-0 Everton
Man Utd 2-1 Aston Villa


(Washington Post, October 29, 1894)
Mr. Kananda spoke yesterday at the People's Church on the invitation of Dr. Kent, pastor of the church. His talk in the morning was a regular sermon, dealing entirely with the spiritual side of religion, and presenting the, to orthodox sects, rather original proposition that there is good in the foundation of every religion, that all religions, like languages, are descended from a common stock, and that each is good in its corporal and spiritual aspects so long as it is kept free from dogma and fossilism. The address in the afternoon was more in the form of a lecture on the Aryan race, and traced the descent of the various allied nationalities by their language, religion and customs from the common Sanskrit stock.
After the meeting, to a Post reporter Mr. Kananda said: "I claim no affiliation with any religious sect, but occupy the position of an observer, and so far as I may, of a teacher to mankind. All religion to me is good. About the higher mysteries of life and existence I can do no more than speculate, as others do. Reincarnation seems to me to be the nearest to a logical explanation for many things with which we are confronted in the realm of religion. But I do not advance it as a doctrine. It is no more than a theory at best, and is not susceptible of proof except by personal experience, and that proof is good only for the man who has it. Your experience is nothing to me, nor mine to you. I am not a believer in miracles — they are repugnant to me in matters of religion. You might bring the world tumbling down about my ears, but that would be no proof to me that there was a God, or that you worked by his agency, if there was one.
HE BELIEVES IT BLINDLY
"I must, however, believe in a past and a hereafter as necessary to the existence of the present. And if we go on from here, we must go in other forms, and so comes any belief in reincarnation. But I can prove nothing, and any one is welcome to deprive me of the theory of reincarnation provided they will show me something better to replace it. Only up to the present I have found nothing that offers so satisfactory an explanation to me."
Mr. Kananda is a native of Calcutta, and a graduate of the government university there. He speaks English like a native, having received his university training in that tongue. He has had good opportunity to observe the contact between the native and the English, and it would disappoint a foreign missionary worker to hear him speak in very unconcerned style of the attempts to convert the natives. In this connection he was asked what effect the Western teaching was having on the thought of the Orient.
"Of course," he said, "no thought of any sort can come into a country without having its effect, but the effect of Christian teaching on Oriental thought is, if it exists, so small as to be imperceptible. The Western doctrines have made about as much impression there as have the Eastern doctrines here, perhaps not so much. That is, among the higher thinkers of the country. The effect of the missionary work among the masses is imperceptible. When converts are made they of course drop at once out of the native sects, but the mass of the population is so great that the converts of the missionaries have very little effect that can be seen."
THE YOGIS ARE JUGGLERS
When asked whether he knew anything of the alleged miraculous performances of the yogis and adepts Mr. Kananda replied that he was not interested in miracles, and that while there were of course a great many clever jugglers in the country, their performances were tricks. Mr. Kananda said that he had seen the mango trick but once, and then by a fakir on a small scale. He held the same view about the alleged attainments of the lamas. "There is a great lack of trained, scientific, and unprejudiced observers in all accounts of these phenomena," said he, "so that it is hard to select the false from the true."


The book I finished in 2022 with notes. Maybe You Should Talk To Someone: A Therapist, HER Therapist, and Our Lives Revealed A therapists also needs to see another therapist just like us. The Space Race Many astronauts... Keep reading »
The book I finished in 2021 with one-sentence notes.
Educated: A Memoir
Education can change your life.
/end
Keep reading »
The below table demonstrates an elaborated use case of the Danger Bot 2.0. Steps Comments Explanation 1 An initial pull-request comment created by the Danger Bot 2.0. 2 When students add a new comment /dispute 846d e29c 4805,... Keep reading »
This tutorial video demonstrates the two-way communication capability of the Danger Bot 2.0.
References
https://github.com/Winbobob/Improving-Feedback-on-GitHub-Pull-Requests-A-Bots-Approach
/end
Keep reading »
I just finished my first week at Pinterest. Summarize my feeling in two words: awesome and fantastic! Fun fact: I met CEO Ben Silbermann four times in person (twice in a cafeteria, once in a corridor and once... Keep reading »
Hello everyone, my name is Zhewei Hu. I am a site reliability engineer at Pinterest. Before that, I was a Ph.D. student under the direction of Dr. Ed Gehringer. I was the teaching assistant for the Object-Oriented Design... Keep reading »
Hello everyone, my name is Zhewei Hu. I am a site reliability engineer at Pinterest. Before that, I was a Ph.D. student under the direction of Dr. Ed Gehringer. I was the teaching assistant for the Object-Oriented Design... Keep reading »
On May 23rd 2019, I successfully defensed my Ph.D. dissertation: “Helping Students Make Better Contributions to Open-Source Software Projects”. I owe my sincere thanks to Dr. Edward Gehringer, my advisor, for his all-time support and guidance. I am... Keep reading »
Rising enrollments make it difficult for instructors and teaching assistants to give adequate feedback on each student’s work. Our course projects require students to submit GitHub pull requests as deliverables for their open-source software (OSS) projects. We have... Keep reading »
During 2018 summer, I interned as a site reliability engineer at Procore Technologies, which is a world’s leading construction project management software company. My project was to build a new UI and implement the GraphQL API for an... Keep reading »
I interned at IBM Aspera DevOps team as a software engineer during 2017 summer. My first project is related to a configuration management tool named Chef. My second project is related to a container orchestration tool named Kubernetes.... Keep reading »
I worked with my classmates to build a DevOps continuous integration and continuous deployment pipeline. The pipeline contains 4 components, which are a build component, a testing and analysis component, a deployment component, and an incremental testing toolkit.... Keep reading »
Bug fixing is a time-consuming work. Recently, automated program repair receives more and more attentions. There are many existing tools which can fix Java, C and Python programs. To the best of my knowledge, no tool repairs on... Keep reading »
A KPI report for marketing team using Ruby on Rails as web application framework, Sequel as ORM layer for mapping records to Ruby objects and handling associated records and PostgreSQL on AWS as the database. Description Utilized Ruby... Keep reading »
Netflix Prize competition was hold by Netflix Inc. in Oct 2006. The main goal of this competition was to predict how many score a user will rate for a movie, by learning a test set containing nearly 100... Keep reading »
Open Medical Record System (OpenMRS®) was created in 2004 as a open source medical record system platform for developing countries – a tide which rises all ships. Read more at: About OpenMRS Description Performed a security review based... Keep reading »
What is staggered-dealine assignment? This project is related to the “Wiki 1a” and “Wiki 1b” assignment in NC State CSC 517 class. They were structured as separate assignments, with separate signup sheets, teams, and reviews. But actually, since... Keep reading »
The goal of this project is to detect bad smells in the software development process by looking at the commits, issues, pull requests, labels and milestones in GitHub repositories. I worked with my classmates to analyze three projects... Keep reading »
I worked with my classmates to build a tool that makes it easier for customers to find cars and their price ranges online. Customers can subscribe to our service and enter information about the car. The tool then... Keep reading »
This project is related to make contributions to an open-source project named Expertiza. I refactored the existing bad smells following Ruby on Rails best practises, implemented new features related to user model and writing RSpec tests with two... Keep reading »
Storyboarding is used in software development as part of identifying the specifications for a particular set of software. It is useful during software engineering because it helps the user understand exactly how the software will work, much better... Keep reading »
I reproduced the classic game Space Invaders, which is considered one of the most influential video games of all time. This game helped expand the video game industry from a novelty to a global industry, and ushered in... Keep reading »


{% extends "default.html" %} {% load bootstrap3 %} {% block css %} {% endblock %} {% block content %}
{% if dataset_type_id %} View the full definition of a dataset using the forms below. The left panel contains the dataset metadata and the center panel can be used to see individual measurement details. Select a measurement using the rightmost panel to view that measurement's definition. Use the bottom buttons to download a .yaml file for this dataset or create a new measurement using this as a base. {% else %} Create a new dataset type definition using the forms below. The left panel contains the dataset metadata and the center panel can be used to see individual measurement details. Select a measurement using the rightmost panel to view that measurement's definition or click the trash icon to remove it. Use the bottom buttons to download the .yaml representation of the dataset or to add it to the Data Cube. {% endif %}
| {{ measurement_name }} | {% if not dataset_type_id %}{% endif %} |
Select a measurement to the right to view and edit properties.


lcmm: Extended Mixed Models Using Latent Classes and Latent Processes
Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.
| Version: |
1.7.9 |
| Depends: |
R (≥ 2.14.0), survival (≥ 2.37-2) |
| Published: |
2018-06-22 |
| Author: |
Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet |
| Maintainer: |
Cecile Proust-Lima <cecile.proust-lima at inserm.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: |
yes |
| Citation: |
lcmm citation info |
| Materials: |
NEWS |
| In views: |
Cluster |
| CRAN checks: |
lcmm results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=lcmm
to link to this page.


moveto
moveto(x, y)
The moveto() command must be called between beginpath() and endpath(). The two parameters set the location of a new origin point for the path. This would be the same as lifting the pen from a paper and putting it down somewhere else to continue drawing.
|
beginpath()
moveto(10, 10)
lineto(40, 10)
moveto(10, 10)
lineto(40, 80)
endpath() |


|
THE MAGICAL WORLD OF JONATHAN
CREEK
by Christine Alice Corcos
The USA television series Monk has
been touted as highly original, well acted, clever and careful
(about its main character, an obsessive-compulsive detective
whose disability has disqualified him from further service as
a police officer). Monk is indeed well acted and scripted,
although some of the episodes are derivative of earlier shows
like Columbo.
In particular, Monk usually solves the crime by noticing that
one of the suspects has a particular quirk that guarantees that
he or she is the only person who could have committed the crime.
Monk, like Columbo, looks for one crucial characteristic or event,
and then identifies the perpetrator.
By
contrast, the BBC series Jonathan Creek (broadcast here
on BBC America) emphasizes the "howdunit" rather than
the "whodunit" in order to solve the crime. Creek (Alan
Davies) is a furry headed and tennis-shoed young magician who
creates illusions for a self-absorbed stage performer named Adam
Klaus (played by Anthony Head in the first season and Stuart
Milligan in subsequent years) when he isn't being dragged into
the investigation of mysterious crimes by journalist and off
again on again love interest Madeline Magellan (Caroline Quentin,
who may also be familiar to American audiences via the series
Men Behaving Badly). Quentin left the series in 1999,
to be replaced by Julia Sawalha as publicist Carla Borrega. This
week, Sawalha's episodes hit the U. S. airwaves, with the episode
Satan's Chimney.
Jonathan Creek's knowledge
of stage magic makes him a perfect detective. He does not subscribe
to the idea that "seeing is believing." If what he
sees or is told about defies his understanding of the world,
he suspects a trick, and sets out to figure out how it is done.
Like Columbo and Adrian Monk, Creek is vitally interested in
the puzzle and its solution, but unlike them he stops often short
of involving the police. Since Creek and Maddy Magellan are
private citizens, they are much more concerned with justice than
with the law, and their desire to see justice done informs many
of their adventures. The episodes track the solution of the crimes,
but also the necessity to make victims whole as much as possible,
rather than to turn perpetrators over to the authorities. In
the episode The Scented Room, a valuable painting disappears
within 30 seconds from a locked room. Creek discovers how the
deed was done, but refuses to divulge the truth to the owners,
preferring to satisfy himself that his solution is the correct
one by confronting the thieves. Indeed, one might question whether
a theft really has occurred. As Creek reconstructs the crime,
the painting is actually taken from its frame and simply secreted
elsewhere in the room. The perpetrators deprive the owners of
the enjoyment of their property, but do they really commit a
crime, according to the letter of the law?
In the episode The Curious
Tale of Mr. Spearfish, Jonathan discovers why an otherwise
unexceptional young man believes that the Devil has taken his
soul. The young man and his wife have been having strange experiences,
as well as a remarkable run of good luck. Why? As it turns out,
no evil spirits need apply-the story has an utterly mundane,
if somewhat factually unlikely solution. Satisfied that his solution
is the right one, Jonathan does not reveal it to the young couple.
Instead, he ensures that they work out their marital problems
and then moves on. In The Omega Man, Jonathan solves the
riddle of the EBE (extraterrestrial biological entity), proving
that it is man made and blackmailing the U. S. military man who
has harassed his friend Maddy into giving him 60,000 pounds to
fund an animal shelter for Maddy's four-footed friends.
Jonathan Creek's notion of
ethics is an unusual one for American audiences used to the sometimes
excessively moralizing of law and order shows. Unless an innocent
person is physically or emotionally harmed, he is reluctant to
call in the police, and he cooperates very unwillingly with the
government, finding that police officers and other officials
are both inflexible and not very bright.  While Jonathan is not opposed to euthanasia,
he finds unacceptable the fact that the daughter's husband, a
minister, has been involved unwittingly and unwillingly in the
event. In addition, of course, the crime is technically murder,
and though Jonathan does not inform the police, he does confront
the daughter and stepfather in order to let them know that he
knows how the crime was committed. On seeing the husband's reaction,
we understand that he will very likely leave his wife, even if
he does not call in the authorities.
Jonathan Creek offers us a
picture of a more complex character than Adrian Monk or Lieutenant
Columbo, and consequently a much more complex view of the intersection
between law and justice. Creek is an even more neurotic Sherlock
Holmes, he is cerebral rather than active, and his involvement
is often reluctant. Maddy frequently needs to goad or dare him
into activity. He is also much less physically attractive and
picture perfect than other television magicians, such as Alexander
Blacke (Blacke's Magic, starring Hal Linden) or Anthony
Dorian (The Magician, starring Bill Bixby). Once he takes
an interest in a puzzle, however, he refuses to let it lie. He
is a good person in an increasingly bad world. Creek also emphasizes
critical thinking, a skill sadly lacking in many people today.
When faced with what seems to be an otherwordly or "impossible"
mystery, he does not automatically assume that the correct answer
is a supernatural one. In fact, he never assumes that the supernatural
is the answer. Instead, he looks for rational, real world explanations.
The episode Jack in the Box presents the type of "locked
room mystery" that typifies the Jonathan Creek series.
A once famous comedian is found dead in a locked bunker. Did
he commit suicide? If so, how? Creek decides that if he was murdered,
and the murderer could not have escaped the bunker, then "whatever
remains, however improbable must be the truth"-the murderer
must still be somewhere in the bunker. And so he solves the mystery,
and reveals a story of bitter revenge. The murderer has claimed
for many years that he was innocent of the murder of which he
was convicted, the murder of the comedian's wife. Through Maddy's
efforts, he was finally exonerated and released from prison.
As it turns out, he really did commit the deed-at the behest
of the comedian. Having decided that the ex-con must be the
murderer, Jonathan then unravels the truth.
What is most refreshing about
Jonathan Creek as a hero, and what seems to explain his success
as a cult figure in England and in the US, is that he is both
lovably nerdy and extremely competent. In addition, his own sure
sense of right and wrong leads Jonathan toward justice and toward
truth. He is no lawyer, but Jonathan Creek has a sure sense of
the meaning of equity.
Posted April 27, 2004
|


Please follow each step completely. Use the other lessons and resources (Mozilla Developer Network) to help you. You may also get help from your classmates. Kevin and Adam will be able to help, so if you get stuck, raise your hand to let them know.
We are going to use a concept called nested for loops to create a 4 by 4 grid of tiles for our memory game.
First, inside our jQuery function (below the stub functions, below the call
to .empty()
), let's add a call to renderTiles()
.
Inside of our renderTiles
function, declare a
const
variable called gridSize
. Set it equal to 4.
Now, start a for-loop. Name the variable for the for-loop row
and set it equal to 0. Have the for-loop run as long as the row
variable is less than the gridSize
variable. Increment the
row
variable by 1 using the +=
operator. When you
are finished, it should look like this:
Inside the braces of this for loop, create a new

element using jQuery and store it in a variable.
When using a variable to store a jQuery object, it is a good idea to prefix
the variable with $
. This will help you remember that the
variable's value is a jQuery object. This is just a convention and is not
required.
When you have finished, your code should look like the code below:
Important: At this point, your tile row has not been added to
the page. The div inside $tileRow
is detached from the
page.  Our tile row exists, it just hasn't been
added to the HTML page yet.
Right after the $tileRow
variable you just created, create
another for-loop
. (We will refer to this new for-loop as the
inner for-loop). Name the for-loop variable column
, set
it to equal 0, and have the loop run as long as column
is less
than gridSize
. Increment column
by 1 each
iteration.
See if you can figure out how to write this for loop on your own. If you get stuck, ask for help.
The overall outer/inner loop structure should look like this:
Inside the braces for the inner for-loop, we will again create a new

element using the same syntax as in Step 4. Name
your variable $tile
. The HTML code you should use when calling
jQuery is below:
We now should append our $tile
div to our $tileRow
div. We can use the .append()
function for this. The contents
of your inner for-loop should look like the code below:
Immediately after the inner for-loop, outside of the braces for it, append
the contents of $tileRow
to the tiles div. Again, you should
use the .append()
function here. You can pass
$tileRow
right into append, no HTML is needed here. Once you
have done this, refresh your page.
The append code should look something like this:
You should now see a 4 by 4 grid of tiles when you save your files and refresh the page.
The overall structure of the renderTiles
function should look
something like this:
Once you have finished, please raise your hand so either Kevin or Adam can check your work.


Installation
There are two components to The Clusternator. The command line client, and the server. Although it is not strictly necessary to run a server it is the target use case, and use of a clusternator server will be assumed, unless otherwise noted.
Installation (Client)
Make sure your system has the third party requirements, then from a shell run:
Installation (Server)
note this is *NOT* yet completely implemented
These instructions assume that by installing the server the user will be using a clusternator CLI client to deploy a clusternator server to a cloud service.
Having a locally installed copy of Docker is required for this.
There will be a series of prompts. Once this is done other clients will be able to start using your clusternator server.


Copy the source of the https://www.consorsbank.de/Wertpapierhandel/Fonds/Kurs-Snapshot/snapshotoverview/{ISIN_WKN} website (HTML) in this file (replace all) for benchmark WebParserPerformanceTests.
Replace the placeholder {ISIN_WKN} with a valid ISIN or WKN.


February 25, 2020Conference Room - La Fac
Our Speaker will Abderrazak bachir bouiadjra !! we will have a great time learning from him.
You will learn something new during this Conference.
Chance for networking with other peers in the field of networking.


Latvian watchdog bans nine Russian TV channels
Kovalchuk is a close associate of Russian President Vladimir Putin, according to media reports.
Latvia's broadcasting watchdog has suspended nine Russian TV channels owned by Yuri Kovalchuk, a Russian oligarch under EU sanctions for his role in Russia's aggression against Ukraine.
Similarly as in Lithuania, Russian channels were previously banned in Latvia due to their content, but it's the first time a decision was made in connection to EU sanctions, LRT reports.
The channels to be blocked are 'Vremya: dalekoye i blizkoye', 'Bobjor', 'Dom Kino', 'Dom Kino PREMIUM', 'Muzika Pervogo', 'O!', 'Poyekhali', 'TELECAFE' and 'Peterburg – 5 kanal', according to the Latvian public broadcaster, LSM.
The ban will be in place as long as Kovalchuk is under EU sanctions, according to Ivars Āboliņš, board member of the National Electronic Mass Media Council (NEPLP) in Latvia.
Kovalchuk is a close associate of Russian President Vladimir Putin, according to media reports, and was named "Putin's personal banker" by Radio Free Europe, and Putin's cashier by the U.S. White House.