Engineering-blogs
entries ordered by Hacker News and Reddit votes
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{{ entry['published'].date() }}
{{ int(entry['total_votes']) }}
{{ entry['title'] }}
{% for vote in entry['votes'] %}
{% if vote['source'] == 'hacker_news' %}
{{vote['votes']}}
{{vote['comments']}}
{% else %}
r/{{vote['subreddit']}} {{vote['votes']}}
{{vote['comments']}}
{% end %}
{% end %}
{% end %}


This is the Kibana interface to the University of Chicago ATLAS Analytics platform which hosts our network metrics (as well as lots of other analytics data)
Status of Production Services
This is the OSG/WLCG perfSONAR Production service monitoring host, based upon the Experiments Testing Framework (ETF) and Check_MK
Status of ITB Services
This is the OSG/WLCG perfSONAR Infrastructure Test Bed (ITB) service monitoring host, based upon the Experiments Testing Framework (ETF) and Check_MK


Channel nodes are an intermediate stage between incoming MIDI messages and
final instruments (performances).
Their primary duty is to aggregate one or
more instruments in a layer.
To add an instrument click one of the large available instrument buttons and an 'add instrument' dialog will appear.
Key modes are described here.
Output bus, Sets the SuperCollider audio bus used as the main output for this instrument. Defaults to 0, the first sound card.
Voice Count, Sets the number of voices for polyphonic keymodes. Default 8.
Controllers, Sets MIDI controller numbers. Each instrument type will have it's own set of controllers. Controllers common to most instruments are cc1 for mod wheel and cc7 for volume. All controllers have reasonable defaults but may be freely reassigned.
Instrument ID, On any given channel each instrument must have an unique id. A valid id is automatically generated but may be changed if desired.
Once an instrument has been added a new button appears in the 'active instrument'
area. Clicking these buttons pops up a frame for the instrument's performance node.
You can try to shift-click on an instrument to remove it, but this feature is buggy
There are four possible keymodes:
Not all keymodes are available for all instruments.
Exclusive is a monophonic mode where only the first keydown is articulated. As long as each
note is played staccato the note will sound. For
legato passages however only the first note played will sound.
An instrument in exclusive mode is intended for use in a layer with some other instrument to provide an
alternative sound for the first note of a legato passage. A typical example would be an organ key click.
Mono is a generalized monophonic mode. If two or more keys are pressed only the last key down
produces a note. Previous keys are not forgotten however making it possible to play monophonic trills.
Mono mode is not the same as a single-voice polyphonic mode.
Poly is a polyphonic mode which attempts to use voices in order. On the first key down voice 1 is
is used. If the first key is released and pressed a 2nd time, voice 1 will again be used. If the first key is held
while a 2nd key is pressed, voice 2 is used for the 2nd key, and so on. If the number of keys down exceeds the voice
count then the most stale (IE the voice which has been holding the longest) is reallocated for the new note.
Rotate is another polyphonic mode only this time voices are allocated in rotation. If the same key
is repeatedly pressed and released a new voice is used for each key press. Rotate mode uses a similar
"voice stealing" scheme as ploy mode if the voice count is exceeded.
The difference between Poly and Rotate modes can be subtle. Where the difference becomes apparent is when the
program-bank is in progressive mode.
Normally when an instrument receives a MIDI program change all voices are
updated to the same "patch" and thus produce the same sound. In progressive mode each voice may have a completely
different patch. Each new key press may produce a different sound. The Rotate keymode was specifically developed for
this purpose. More details on progressive program changes may found in the program bank documentation.


Contact
Topciment Corporate Headquarters:
33 Rosas st. · Manises 46940, Spain Phone: +34 963 925 989 Email<EMAIL_ADDRESS>Topciment dealers in the UK
Email<EMAIL_ADDRESS>Topciment dealers in United States
Email<EMAIL_ADDRESS>Topciment dealers in Ireland
Email<EMAIL_ADDRESS>Topciment dealers in Norway
Email<EMAIL_ADDRESS>Topciment dealers in Sweden
Email<EMAIL_ADDRESS>Topciment dealers in Denmark
Email<EMAIL_ADDRESS>Topciment dealers in Finland
Email: fi@topciment.com


Chinese Word Embedding Model Tutorial¶
This tutorial is to guide you through the process of using a Pretrained Chinese Word Embedding Model in the PaddlePaddle standard format.
We thank @lipeng for the pull request that defined the model schemas and pretrained the models.
Introduction¶
Chinese Word Dictionary¶
Our Chinese-word dictionary is created on Baidu ZhiDao and Baidu Baike by using in-house word segmentor. For example, the participle of “《红楼梦》” is “《”，”红楼梦”，”》”，and “《红楼梦》”. Our dictionary (using UTF-8 format) has has two columns: word and its frequency. The total word count is 3206326, including 4 special token:
<s>
: the start of a sequence<e>
: the end of a sequencePALCEHOLDER_JUST_IGNORE_THE_EMBEDDING
: a placeholder, just ignore it and its embedding<unk>
: a word not included in dictionary
Pretrained Chinese Word Embedding Model¶
Inspired by paper A Neural Probabilistic Language Model, our model architecture (Embedding joint of six words->FullyConnect->SoftMax) is as following graph. And for our dictionary, we pretrain four models with different word vector dimenstions, i.e 32, 64, 128, 256.
Download and Extract¶
To download and extract our dictionary and pretrained model, run the following commands.
cd $PADDLE_ROOT/demo/model_zoo/embedding
./pre_DictAndModel.sh
Chinese Paraphrasing Example¶
We provide a paraphrasing task to show the usage of pretrained Chinese Word Dictionary and Embedding Model.
Data Preparation and Preprocess¶
First, run the following commands to download and extract the in-house dataset. The dataset (using UTF-8 format) has 20 training samples, 5 testing samples and 2 generating samples.
cd $PADDLE_ROOT/demo/seqToseq/data
./paraphrase_data.sh
Second, preprocess data and build dictionary on train data by running the following commands, and the preprocessed dataset is stored in $PADDLE_SOURCE_ROOT/demo/seqToseq/data/pre-paraphrase
:
cd $PADDLE_ROOT/demo/seqToseq/
python preprocess.py -i data/paraphrase [--mergeDict]
--mergeDict
: if using this option, the source and target dictionary are merged, i.e, two dictionaries have the same context. Here, as source and target data are all chinese words, this option can be used.
User Specified Embedding Model¶
The general command of extracting desired parameters from the pretrained embedding model based on user dictionary is:
cd $PADDLE_ROOT/demo/model_zoo/embedding
python extract_para.py --preModel PREMODEL --preDict PREDICT --usrModel USRMODEL--usrDict USRDICT -d DIM
--preModel PREMODEL
: the name of pretrained embedding model--preDict PREDICT
: the name of pretrained dictionary--usrModel USRMODEL
: the name of extracted embedding model--usrDict USRDICT
: the name of user specified dictionary-d DIM
: dimension of parameter
Here, you can simply run the command:
cd $PADDLE_ROOT/demo/seqToseq/data/
./paraphrase_model.sh
And you will see following embedding model structure:
paraphrase_model
|--- _source_language_embedding
|--- _target_language_embedding
Training Model in PaddlePaddle¶
First, create a model config file, see example demo/seqToseq/paraphrase/train.conf
:
from seqToseq_net import *
is_generating = False
################## Data Definition #####################
train_conf = seq_to_seq_data(data_dir = "./data/pre-paraphrase",
job_mode = job_mode)
############## Algorithm Configuration ##################
settings(
learning_method = AdamOptimizer(),
batch_size = 50,
learning_rate = 5e-4)
################# Network configure #####################
gru_encoder_decoder(train_conf, is_generating, word_vector_dim = 32)
This config is almost the same as demo/seqToseq/translation/train.conf
.
Then, train the model by running the command:
cd $PADDLE_SOURCE_ROOT/demo/seqToseq/paraphrase
./train.sh
where train.sh
is almost the same as demo/seqToseq/translation/train.sh
, the only difference is following two command arguments:
--init_model_path
: path of the initialization model, here isdata/paraphrase_model
--load_missing_parameter_strategy
: operations when model file is missing, here use a normal distibution to initialize the other parameters except for the embedding layer
For users who want to understand the dataset format, model architecture and training procedure in detail, please refer to Text generation Tutorial.
Optional Function¶
Embedding Parameters Observation¶
For users who want to observe the embedding parameters, this function can convert a PaddlePaddle binary embedding model to a text model by running the command:
cd $PADDLE_ROOT/demo/model_zoo/embedding
python paraconvert.py --b2t -i INPUT -o OUTPUT -d DIM
-i INPUT
: the name of input binary embedding model-o OUTPUT
: the name of output text embedding model-d DIM
: the dimension of parameter
You will see parameters like this in output text model:
0,4,32156096
-0.7845433,1.1937413,-0.1704215,0.4154715,0.9566584,-0.5558153,-0.2503305, ......
0.0000909,0.0009465,-0.0008813,-0.0008428,0.0007879,0.0000183,0.0001984, ......
......
- 1st line is PaddlePaddle format file head, it has 3 attributes:
- version of PaddlePaddle, here is 0
- sizeof(float), here is 4
- total number of parameter, here is 32156096
- Other lines print the paramters (assume
<dim>
= 32)- each line print 32 paramters splitted by ‘,’
- there is 32156096/32 = 1004877 lines, meaning there is 1004877 embedding words
Embedding Parameters Revision¶
For users who want to revise the embedding parameters, this function can convert a revised text embedding model to a PaddlePaddle binary model by running the command:
cd $PADDLE_ROOT/demo/model_zoo/embedding
python paraconvert.py --t2b -i INPUT -o OUTPUT
-i INPUT
: the name of input text embedding model.-o OUTPUT
: the name of output binary embedding model
Note that the format of input text model is as follows:
-0.7845433,1.1937413,-0.1704215,0.4154715,0.9566584,-0.5558153,-0.2503305, ......
0.0000909,0.0009465,-0.0008813,-0.0008428,0.0007879,0.0000183,0.0001984, ......
......
- there is no file header in 1st line
- each line stores parameters for one word, the separator is commas ‘,’


@*
* Copyright 2021 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import config.ApplicationConfig
@import include._
@import controllers.checkpages.NameForm
@import domain.models.views.BackButtonWithJavaScript
@import domain.models.applications.Application
@import domain.models.developers.DeveloperSession
@this(devMain: DevMain)
@(app: Application, form: Form[NameForm], submitAction: Call)(implicit request: play.api.mvc.Request[Any], loggedIn: DeveloperSession, messages: Messages, applicationConfig: ApplicationConfig)
@pageHeading = @{ "Confirm the name of your application" }
@devMain(
title = pageHeading,
userFullName = loggedIn.loggedInName,
back = BackButtonWithJavaScript,
developerSession = Some(loggedIn)
) {
@errorSummary(form)
@pageHeading
We show this name to your users when they authorise your software to interact with HMRC.
It must comply with our naming guidelines (opens in a new tab).


Carwler Dashboard
Home
Dashboard
0
Total Sites in DB
0
Links Found
0
Sites Crawled
0
Percent of the complete Internet* crawled
distribution of incoming edges on a vertice
yLogScale ON
yLogScale OFF


homeAdd Home
Ok
expand_less
- Good
- Moderate
- USG
- Unhealthy
- VU
- Hazardous
Places visited before
Current Conditions
Note: Values above 500 are considered Beyond the AQI. Follow recommendations for the
Hazardous category. Additional information on reducing exposure to extremely high
levels of particle pollution
is available here
.
AQI - Pollutant Details
25
Ozone
65
Particles (PM 2.5)
Air quality Forecast
Tomorrow
25
Air Quality Index (AQI)
AQI Pollutant Details
36
Ozone
32
Particles (PM 2.5)
brightness_4


Enter each letter in the order they appear below without space to name the characters easiy.
Tip: You can use mouse middle button to open this popup
These settings do not affect the font, they are for viewing only
Position X:
Position Y:
Scale:
These settings affects all characters
Stroke Line Join:
Stroke Line Cap:
Base Stroke Width:


I want to go to Keelung, Taiwan.
Keelung is officially known as Keelung City and is a major port city in the northeast of Taiwan. The city isn't completely lively(as seen in image above) so part of the town has been left abandoned such as some various aparment complexes and they are being slowly reclaimed by nature.
| Activity | Cost | Buisness |
| Exploring | N/A | N/A |
| Climb Trees | N/A | N/A |
| Camping | N/A | N/A |
| Take Photos | $2,800 | Samsung |
| Flying There | $1,044 | Air Canada |


dengue (.) passengers febrile infection (.–.) virus fever cases <. dengue-endemic inbound screening {border-style ;():–. study travel travelers Health px;} #ffffff;} (%) Dis. []. countries patients tested Taiwan Infect Reference quarantine surveillance Dengue International Medicine imported infrared international Sciences risk days stay temperature Yes airport clinical diagnosis infection. results negative positive respiratory Emerg However, Taoyuan analysis associated dengue-positive illness infected proportion px; review skin symptoms {font-family (aOR, ./eid. Disease PCR border countries, disease factors font-size infection, non-contact number officers reported revealed self-reported travelers. tympanic used CI, Fever Infectious Pathogens Taiwan. active airports antigen characteristics days, double; fever, health length likely mosquito older patients, previous regression showed test testing visiting acute age age, approximately association border-color border-width confirmed data dengue, detecting detection entry epidemiological identified important logistic odds outbreaks purpose rapid rashes rashes, solid; study. thermometer–based transmission years {font-style {font-weight No %), (%), .–.), Airport Airport, BMC Diseases Flaviviruses: Laboratory Med. National Surveillance Therefore, Type Viral Virus bite blood bold cause conducted courier; detected efficiency em; example, friends group high higher history infections influenza information local measures medical prevent pt;} public questionnaire recognition stayed studies symptomatic thermometers upper value years, NS


Random Quote Generator
"The greatest quote generator ever constructed."
-Jesus Christ
Prepare To Be Enlightened
Share Your Wisdom!


THEPC
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Contact Us
Phone:
(+91)
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(+91)
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<EMAIL_ADDRESS>Address:
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Content Writer


Description
The result of this command is the result of its single expression. It is useful when embedding expressions into XML syntax.
Command Syntax
'@x:exp' <exp>
No options or body are permitted.
Execution Semantics
The result of executing the @x:exp command is the result of executing it attribute expression.
Examples


Woah, you're insanely intelligent! No, this is not anyhow related to the movie
This site will show available fun and interesting statistics.
Just Input your nickname and see the magic!
| Your... | Is... | Probability |
|---|---|---|
| Age | 56 | 50% |
| Gender | Male | 94 |
| Nationality | Doe | 80 |


{% extends 'user/user_base.html' %} {% block head %} {% endblock %} {% block body %}
You don't have enough reward point now.Return more medicine to earn rewards!


{% extends 'layout.html' %} {% load static %}
{% block title %}BEX 71012
#} {# KATHMANDU ENGINEERING COLLEGE#} {# #} {#BEX 71028
#} {# KATHMANDU ENGINEERING COLLEGE#} {# #} {#BEX 71024
#} {# KATHMANDU ENGINEERING COLLEGE#} {#This project named as "Krishi Sathi" is all about the concept of snart agricultural project with the motive to increase the productivity of soil and give raise in the cultivation and harvest process of the crops. The main agenda of this process is suggesting the suitable type of the crops that can be cultivated in accordance with the available value of the parameter.
#} {#The main target of this project KRISHI SATHI is to replace the old school methododlgy of farming(traditional way of farming) with the modern and technical method of farmin which leads the productivity output to the progressive peak. Farmers are provided the ease for the cultivation and harvest of the suitable crops accrding to the respective considered measured values of parameters.
#} {#The scope is designed as per the cover of the agricultural field and bring the improvement regarding the process and methodologies applied during farming in the context of developing agricultural countries especially reliable to NEPAL.
#} {#It is applicable to the farmers who sustain their living with the ocuupational farming.They can use Krishi Sathi to maximize the production of crops and this leads to the quality life of the individuals.
#} {#


A 90s Gamer's Paradise!
|
Complete your collection with our vast selection of classic games to pick from! |
|
|
We have games for almost every system from the best decade in gaming, including:
Unfamiliar with the world of 90s gaming? See below for a brief history, and why so many people around the world have immense passion for a seemingly outdated pastime.
The 16-Bit Wars
The 1990s is often considered one of the most revolutionary decades in gaming. It spawned many of the tropes seen in modern day gaming, including the first person genre, and the idea of more than one company holding control of the entire industry. At the beginning of the decade, Nintendo held the entire industry in their hands. With the release of their bestselling console, the NES, midway through the eighties, they essentially had a monopoly on video games at the time. However, the 8-bit graphics that the console relied on was slowly becoming outdated as technology grew more and more powerful.
Meanwhile, a humble little company called Sega had released a console in the eighties called the Sega Master System that sold well in Japan, but didn't have any hold in the West. However, that all changed when they released what would be considered their most successful console: the Sega Genesis. The 16-bit console was a beast for its time; it had arcade-level graphics and a brutal marketing campaign that advertised high-adrenaline games while directly attacking Nintendo's family-friendly appeal. Their slogan at the time, "Genesis does what Nintendon't", was a reflection of this. Luckily for them, this technique worked. Soon, more kids were asking their parents for a Genesis than any other console, and owning one was considered "cooler" than owning an NES. Sega quickly gained the upper hand over Nintendo, and held a significant chunk of the market.
Meanwhile, Nintendo had an ace up their sleeve: the Super Nintendo Entertainment System (SNES) released in 1991 to critical acclaim. It had graphics on-par with the Genesis, with all the quality games that Nintendo offered. Despite this, Sega still held their own. This resulted in perhaps the most infamous battle in gaming history: The 16 Bit War. Both companies fought relentlessly for the spotlight, but one company would eventually come out on top; more on that later.
Controversial Gaming
While fierce competition was happening in the console market between Sega and Nintendo, there were two games released in Arcades and PC respectively that shook the industry permanently: Mortal Kombat and Doom.  Parents didn't want their children to play these game, and so for the first time, video games were treated by the mainstream like any other medium. However, this meant that the market needed to be regulated. Therefore, the ESRB was created, which worked similar to the MPAA in that it would allow parents to see whether or not a video game would be appropriate for their child to play. The same ESRB rating system is still used today.
3D Gaming / End of an Era
As the 16-Bit War raged on, and a rating system was established among the videogame market, it was time for technology to advance even more toward the end of the 90s. Arguably, the leap to 3D graphics will be the most revolutionary in the game industry, as it will be an essential part of each and every major game in the modern day. Both Nintendo and Sega worked hard to get their 3D consoles out into the market, which were the Nintendo 64 and the Sega Saturn respectfully. However, there was another company rising up as a fearsome force to be reckoned with: Sony. With a price-point $100 cheaper than the Saturn, and a release to the market a year before the N64, the Sony PlayStation quickly rose to the top and toppled Sega with their sales numbers. Part of their success was due to how many third-party companies they had under their belt, and a wide variety of games they maintained on their platform.
As one last-ditch effort to save their company, Sega released their console Dreamcast in 1999 after the Saturn sold relatively poorly. But the damage was already done. Sega would eventually fizzle out and work exclusively as a publisher. Within two years, their most prominent mascot would be featured on a console by Nintendo: their biggest opponent of the nineties.
That is a brief summary of the history of gaming in the 1990s, however there are many more interesting events that transpired. If you would like to know more, head over to the Wikipedia page to find out more, including the beginning of online gaming, the birth of survival horror, the short-lived FMV-based games, portable gaming, and countless other interesting parts of gaming in the 90s!


Simon's Town is located on the NW side of False Bay, some 15 miles North of the Cape of Good Hope (photo by SY Flow).
It was once used by the Dutch fleet to hide here from the fierce Westerlies, especially from March to October. When the steamships later on needed a shore base, the harbour was extended to cater for those needs and today it is the base for the South African Navy and some 200 pleasure craft.
Simon's Town is a good alternative for those preferring to be away from busy Cape Town, and who don't mind travelling an hour by car to get to the main city. It also is a good option for haulout.
This is not a Port of Entry and yachts must not enter South Africa here for the first time here.
See Cape Town/Formalities for full details on how and where to enter South Africa correctly.
Last updated March 2014.
The marina, hiding behind substantial wave breakers on the north side of the Navy base, is not yet marked on all international charts, but the approach is easy and well lit. Beware of "Roman Rocks", about 1 mile NE of the main harbour.
False Bay :©False Bay Yacht Club
Only in strong SE conditions some surge is experienced, otherwise the marina is well sheltered. Boats larger than 52 feet must book prior to arrival as there are very few spaces available to them. As this is becoming a popular spot for visiting yachts in general, booking in advance might be advisable for other boats also.
Temporary Visitor Membership fees are payable to the False Bay Yacht Club by any visitor who has a boat temporarily moored in FBYC waters in Simon's Bay.
Post office, shops, hardware, LPG, medical facilities and all other services are found in the shopping street. There are a great number of restaurants for all tastes very near the town and the port is reasonably safe even after dark and there are many security guards on duty.
Most of the tradespeople can be found here and those coming from Cape Town visit Simonstown on request.
Last updated March 2014.


Along with Adapter properties there are several Adapter methods. Each Adapter method runs the Scroller's Workflow that handles multiple internal processes, some of which may be asynchronous. In order to deal with such asynchronicity, the return value of any Adapter method is a Promise that is resolved when all internal processes triggered by the Adapter are terminated. Return value has following type
{{ returnValueType }}
- success: specifies whether the Adapter method
completed successfully or not; for example, if some method is invoked with
wrong arguments, no error will be thrown, but we'll get
success: false in the result;
- details: contains error message in case success is
false;
- immediate: specifies whether the Adapter method
completed immediately or not; for example, if
Adapter.remove won't remove any items, then it will be terminated
immediately and we'll get immediate: true in the result.
{{ returnValueSample }}
Note, immediate: false does not necessarily mean that the Adapter method worked asynchronously. For example, Adapter.clip does its work in a single call stack regardless of whether there are items to be clipped or not. But in any case, if there is any logic that needs to be run after the Adapter method completes its job, it is highly recommended to implement an explicit sequence like this:
{{ explicitSequenceSample }}


| Trees | Indices | Toggle frames |
|---|
Low-level graphics rendering.
This module provides an efficient low-level abstraction over OpenGL. It gives very good performance for rendering OpenGL primitives; far better than the typical immediate-mode usage and, on modern graphics cards, better than using display lists in many cases. The module is used internally by other areas of pyglet.
See the Programming Guide for details on how to use this graphics API.
Without even needing to understand the details on how to draw primitives with the graphics API, developers can make use of Batch and Group objects to improve performance of sprite and text rendering.
The Sprite, Label and TextLayout classes all accept a batch and group parameter in their constructors. A batch manages a set of objects that will be drawn all at once, and a group describes the manner in which an object is drawn.
The following example creates a batch, adds two sprites to the batch, and then draws the entire batch:
batch = pyglet.graphics.Batch() car = pyglet.sprite.Sprite(car_image, batch=batch) boat = pyglet.sprite.Sprite(boat_image, batch=batch) def on_draw() batch.draw()
Drawing a complete batch is much faster than drawing the items in the batch individually, especially when those items belong to a common group.
Groups describe the OpenGL state required for an item. This is for the most part managed by the sprite and text classes, however you can also use groups to ensure items are drawn in a particular order. For example, the following example adds a background sprite which is guaranteed to be drawn before the car and the boat:
batch = pyglet.graphics.Batch() background = pyglet.graphics.OrderedGroup(0) foreground = pyglet.graphics.OrderedGroup(1) background = pyglet.sprite.Sprite(background_image, batch=batch, group=background) car = pyglet.sprite.Sprite(car_image, batch=batch, group=foreground) boat = pyglet.sprite.Sprite(boat_image, batch=batch, group=foreground) def on_draw() batch.draw()
It's preferable to manage sprites and text objects within as few batches as possible. If the drawing of sprites or text objects need to be interleaved with other drawing that does not use the graphics API, multiple batches will be required.
Many of the functions and methods in this module accept any number of data parameters as their final parameters. In the documentation these are notated as *data in the formal parameter list.
A data parameter describes a vertex attribute format and an optional sequence to initialise that attribute. Examples of common attribute formats are:
See pyglet.graphics.vertexattribute for the complete syntax of the vertex format string.
When no initial data is to be given, the data item is just the format string. For example, the following creates a 2 element vertex list with position and color attributes:
vertex_list = pyglet.graphics.vertex_list(2, 'v2f', 'c4B')
When initial data is required, wrap the format string and the initial data in a tuple, for example:
vertex_list = pyglet.graphics.vertex_list(2, ('v2f', (0.0, 1.0, 1.0, 0.0)), ('c4B', (255, 255, 255, 255) * 2))
Methods in this module that accept a mode parameter will accept any value in the OpenGL drawing mode enumeration; for example, GL_POINTS, GL_LINES, GL_TRIANGLES, etc.
Because of the way the graphics API renders multiple primitives with shared state, GL_POLYGON, GL_LINE_LOOP and GL_TRIANGLE_FAN cannot be used --- the results are undefined.
When using GL_LINE_STRIP, GL_TRIANGLE_STRIP or GL_QUAD_STRIP care must be taken to insert degenrate vertices at the beginning and end of each vertex list. For example, given the vertex list:
A, B, C, D
the correct vertex list to provide the vertex list is:
A, A, B, C, D, D
Alternatively, the NV_primitive_restart extension can be used if it is present. This also permits use of GL_POLYGON, GL_LINE_LOOP and GL_TRIANGLE_FAN. Unfortunatley the extension is not provided by older video drivers, and requires indexed vertex lists.
Since: pyglet 1.1
| pyglet.graphics.allocation Memory allocation algorithm for vertex arrays and buffers. | |
| pyglet.graphics.vertexattribute Access byte arrays as arrays of vertex attributes. | |
| pyglet.graphics.vertexbuffer Byte abstractions of Vertex Buffer Objects and vertex arrays. | |
| pyglet.graphics.vertexdomain Manage related vertex attributes within a single vertex domain. |
|
Batch
Manage a collection of vertex lists for batched rendering.
|
|
|
Group
Group of common OpenGL state.
|
|
|
NullGroup
The default group class used when None is given to a batch.
|
|
|
TextureGroup
A group that enables and binds a texture.
|
|
|
OrderedGroup
A group with partial order.
|
|
draw(size,
mode,
*data)
Draw a primitive immediately.
|
|
|
draw_indexed(size,
mode,
indices,
*data)
Draw a primitive with indexed vertices immediately.
|
|
| VertexList |
vertex_list(count,
*data)
Create a VertexList not associated with a batch, group or mode.
|
| IndexedVertexList |
vertex_list_indexed(count,
indices,
*data)
Create an IndexedVertexList not associated with a batch, group or mode.
|
| Group |
null_group = NullGroup()
The default group.
|
| Trees | Indices | Toggle frames |
|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:38 2009 | http://epydoc.sourceforge.net |


amfPHP Service Browser
This is the AmfphpServiceBrowser plugin, and it allows you to test your services. Choose a service, then choose a method on this service,
enter your parameters and then click 'call'. Confused?
Read the documentation, more specifically about
testing amfPHP.
Choose a Service


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Introduction
This report investigate the evolution of fish unit price and implement algorithm to forecast this evolution.
Each chapter is dedicated to a specific fish trade analysis which involves a type of fish, a country and its type of trade (import or export).
Whithin these chapters, a first section is dedicated to the analysis of the trade history using classic methods and visualisations. A second section is dedicated to the implementation of forecast algorithms. Currently, 2 different forecast algorithm models are implemented: Glmnet and Prophet.
Glmnet is a generalized linear model via penalized maximum likelihood trained for forecast purpose. The regularization path is computed for the lasso or elasticnet penalty at a grid of values for the regularization parameter lambda. The algorithm is extremely fast, and can exploit sparsity in the input matrix \(x\).
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
Finally additional analyses are presented in order to focus on specific points of the analysis such as factors influencing the Unit Price evolution, Seasonality and Trade evolution of specific partners.
1 Horse mackerel exports from Norway
1.1 Analysis
Between 2012 and 2020, Norway has exported horse mackerel to 32 countries worldwilde. However the data collected shows a important discrepency between these countries regarding the trade history, the level of the price applied and its volatility.
In the Figure here above, it is possible to distinguish countries with a high average price and high volatility such as Lithuania, high average price and low volatility such as France, low average price and high volatitilty such as Denmark and low average price with low volatility such as Egypt.
A second factor is particularly important to take into account, the level of trade can vary between the countries. Some countries have only one or two trade while others have more than 60 trades.
For the forcast models done in the next sections, this bias will not be removed as all the data will be taken into account. The available data are too low in term of sampling frequency (once a month maximun), on a too short period, with not enough data per country. Therefore an analysis country wise is impossible. All the data will be taken into account in the coming sections.
The trend of the evolution of fish price since 2012 indicates follows a slight parabolic inverse trend with a valley (negative peak) in 2016.
1.2 Glmnet Algorithm Forecast
In order to forcast the evolution of fish price according the time, the existing data are splitted in two sections: the train region which will be used to build the forecast model and the test region which will be used compare the data predicted with the actual data.
In order to process this forcasting model, 224 time features are extracted and used to predict the evolution of the unit price.
1.2.1 Forecast Validation
By selecting a train region from 2012 to 2018 and a test region from 2018 to 2020, it is possible to compare the forecast accuracy with the actual Average unit price values.
The most used indicators are RMSE and MAE. The closer to 0 is their value, the better. Here RMSE = 0.47 and MAE = 0.43. These results are encouraging but could be largely be improved. In paralel, the \(R^2\) indicator also ranges from 0 to 1 but the closer to 1 is the value, the better. Here, the model explains 3% of the variance of the unit price variation.
1.2.2 Forecast Prediction
Based on the model previously test, a forecast of the 24 next months is performed.
Even if the accuracy of the forecast model on the test table is low, it is still possible to use it to forcast the price whithin 2 years. The model reveals a sharp decrease in 2020 and a rebound from 2021.
1.3 Prophet Algorithm Forecast
As the glmnet algorythm, the prophet decomposition extract the temporal trends, seasonality, multiplicative factor and their prediction residuals.
1.3.1 Forecast Validation
Here RMSE = 0.57 and MAE = 0.54, which is better than the glmnet algorithm but this value is only the train region.
1.3.2 Forecast Prediction
The result of the forecast by Prophet uses the seasonlity of the price evolution (see Additional Analyses section) as well as the overall trend.
The prediction reveals a decrease of the fish price from Febuary to November with a price in 2022 slightly higher than 2021.
1.4 Additional Analyses
1.4.1 Factors influencing Unit price
The difference between countries that are historic and recurent trade partner with countries who have only several past trade is highly relevant. Indeed we can imagine that price establisment is build on a commercial relationship between the countries, if a country has no history, the average price paid is likely to be higher than historical trade partners which will bisais the forcast of the evolution.
However the results show that the number of trade has no significant relationship with the average unit price (\(R^2 = .07\), \(F(1, 30) = 2.12\), \(p = .156\)).
Another possible bais involved in trade relationship is the possible relationship between quantity and unit price.
It seems logical to believe that countries buying more will have more leverage to negociate their unit price. The results reveals a weak but significant relationship between the unit quantity ordered on a log scale and unit price (\(R^2 = .02\), \(F(1, 366) = 5.68\), \(p = .018\)).
A future investigation would be to try to understand the factors explaining why certain countries have a high average price and others a low average price (beside the the number of trade).
1.4.2 Trend in long lasting trade partners
Countries with a short trade history can be perceived as being outliers, so just to check, countries with less than 10 trades have been removed from the following analysis.
Result without countries with less than 10 trade data point reveal the exact same pattern as previsouly identified. Because analysing all the countries together is essential given the low amount of data to forecast and the trend appears to be similar for these countries, all the data will be kept for the remaining analyses.
1.4.3 Unit price seasonality changes
The analysis of the seasonal change within a year indicates a specific recuring pattern with a peack in April and a decease until December.
It is also interesting to observe that prices increase with the years.


Code Jam is Google's longest running global coding competition, where programmers of all levels put their skills to the test. Competitors work their way through a series of online algorithmic puzzles to earn a spot at the World Finals, all for a chance to win the championship title and $15,000.
Kick Start is a global online coding competition, consisting of three-hour rounds of a variety of algorithmic challenges designed by Google engineers. Participants can compete in one or all online rounds held throughout the year, and will have the opportunity to develop and grow their programming abilities while getting a glimpse into the technical skills needed for a career at Google (top participants may be invited to interview at Google).
Hash Code is a team programming competition, organized by Google, for students and professionals around the world. You pick your team and programming language and we pick an engineering problem for you to solve. This year’s contest kicks off with an Online Qualifications, where your team can compete virtually from wherever you’d like, alongside your virtual Hub. Top teams will then be invited to compete from our virtual World Finals.


London's knife crime epidemic continues with three fatal stabbings
by Telegraph ReportersLondon's knife-crime epidemic continued this weekend with three fatal stabbings in the space of 24 hours.
The number of killings in the capital is now nearing its highest level in more than a decade, with 130 recorded this year, compared with 132 in 2018.
A 27-year-old man was stabbed to death and three men were wounded at a house party in Whitechapel, east London, on Saturday.
Seven men were arrested on suspicion of murder and attempted murder after police were called to a flat just before 9am.
Six suspects, aged between 23 and 29, were in custody on Sunday night, while one, aged 26, was in hospital being treated for injuries sustained during the attack.
Elsewhere, a 26-year-old man was fatally stabbed yards from West Ealing train station in west London in the early hours of Sunday morning.
Hours later, two men were stabbed during a fight in Ilford, east London.
A 24-year-old man was taken to hospital and pronounced dead at 12.36am.
A man in his 20s was wounded, but his condition was not said to be life-threatening.
Police have launched murder investigations relating to the fatal stabbings in Ealing and Ilford on Sunday.
No arrests have been made.
Boris Johnson pledged to give police powers to stop and search known knife carriers and the Government has committed to recruit an extra 20,000 officers in the next three years to reverse reductions in police numbers.


case class Pca(mat: DenseMatrix[Double], colNames: Seq[String]) extends Product with Serializable
Principal components analysis
Computed using SVD of the centred data matrix rather than from the spectral decomposition of the covariance matrix. eg. More like the R function "prcomp" than the R function "princomp".
NOTE: .loadings are transposed relative to the PCA function in Breeze
- mat
Data matrix with rows corresponding to observations and columns corresponding to variables
- colNames
Sequence of column names of mat
- returns
An object of type Pca with methods such as .loadings, .scores, .sdev and .summary
- Alphabetic
- By Inheritance
- Pca
- Serializable
- Serializable
- Product
- Equals
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
-
new
Pca(mat: DenseMatrix[Double], colNames: Seq[String])
- mat
Data matrix with rows corresponding to observations and columns corresponding to variables
- colNames
Sequence of column names of mat
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
val
SVD: DenseSVD
Breeze SVD object for the centred data matrix
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
- val colNames: Seq[String]
-
lazy val
cumuvar: DenseVector[Double]
Cumulative variance of the principal components
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
val
loadings: DenseMatrix[Double]
Loadings/rotation matrix.
Loadings/rotation matrix. Note that this is the TRANSPOSE of the corresponding Breeze method. But this is the usual way the rotations are reported. See how the .summary method labels the rows and columns if you are confused.
- val mat: DenseMatrix[Double]
-
val
n: Int
Number of observations
-
val
names: List[String]
Column names (as a List)
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
-
val
p: Int
Number of variables
-
def
plots: Figure
Diagnostic plots for the PCA
-
lazy val
propvar: DenseVector[Double]
Proportion of variance explained by each principal component
-
lazy val
scores: DenseMatrix[Double]
n x p matrix of scores - the rotated data
-
val
sdev: DenseVector[Double]
Standard deviations of the principal components
-
def
summary: Unit
Prints a summary of the PCA to console
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
lazy val
totVar: Double
The total variance of the principal components
-
lazy val
variance: DenseVector[Double]
Variances of the principal components
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
val
x: DenseMatrix[Double]
Centred data matrix
-
val
xBar: DenseVector[Double]
Column means (for centring)


Before Change
// TODO Look for ldconfig in /usr/sbin/ldconfig. /sbin is deprecated
// in recent linux distributions.
// Solaris does not have /sbin/ldconfig. Just check if this file exists.
if lib is None and os.path.exists("/sbin/ldconfig"):
expr = r"/[^\(\)\s]*%s\.[^\(\)\s]*" % re.escape(name)
if is_freebsd:
// This has a slightly different format than on linux, but the
// regex still works.
m = re.search(expr, compat.exec_command("/sbin/ldconfig", "-r"))
else:
m = re.search(expr, compat.exec_command("/sbin/ldconfig", "-p"))
if m:
lib = m.group(0)
// Look in the known safe paths.
if lib is None:
// Architecture independent locations.
paths = ["/lib", "/usr/lib"]
// Architecture dependent locations.
After Change
// Look in /etc/ld.so.cache
// Solaris does not have /sbin/ldconfig. Just check if this file exists.
if lib is None:
PyInstaller.depend.utils.load_ldconfig_cache()
lib = PyInstaller.depend.utils.LDCONFIG_CACHE.get(name)
if lib:
assert os.path.isfile(lib)
// Look in the known safe paths.
if lib is None:
// Architecture independent locations.
paths = ["/lib", "/usr/lib"]
// Architecture dependent locations.


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Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Hatch Ltd.
Mailing Address:
2800 Speakman Dr.Sheridan Science & Technology Park
MISSISSAUGA, Ontario
L5K 2R7
Location Address:
2800 Speakman Dr.Sheridan Science & Technology Park
MISSISSAUGA, Ontario
L5K 2R7
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Logo
Company Profile
Hatch is an employee-owned, multidisciplinary professional services firm that delivers a comprehensive array of technical and strategic services, including Consulting, Information Technology, Engineering, Process Development, and Project and Construction Management to the Mining, Metallurgical, Energy, and Infrastructure sectors. Hatch companies have served clients for over 80 years and have project experience in more than 150 countries around the world.
With 11,000 people in over 65 offices, the firm has more than US$35 billion in projects currently under management.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
Hatch has over 300 of our colleagues providing study and project services to blue chip companies such as Anglo American Metallurgical Coal, BMA, BHP Billiton, Xstrata Coal, Kangra and Sasol Mining, among others. In Australia, we have particular expertise and passion in coal handling, process design and commissioning and with the recent acquisition of Process Consult this team has been further strengthened. Our coal group in South Africa has been very successful in growing a world class group. Together we are expanding our capabilities in Southern Africa, Australasia, and the Americas.
We undertake major expansions and metallurgical plant upgrades, from concept to design to construction anywhere in the world. We rebuild furnaces, introduce new process controls, and develop unique technologies that will give our clients substantial edge in cost control and productivity.
Areas of expertise include:
Rail and Transportation Systems
Ports and Marine Terminals
Water (desalination, treatment, planning, process separation and membranes)
Infrastructure services (such as program management, tailings and recovery, capital program infrastructure services and camps).
We are process engineers, automation & process control engineers, metallurgists, environmental engineers, plant simulation & modelling experts.
Hatch provides engineering for hydro, wind, tidal, solar and other renewable power generation facilities; thermal and nuclear plants; electricity transmission and distribution facilities; oil and gas developments.
We combine consulting process with technical depth. Our clients comment on our straightforward approach and success in working together with people at all levels of their organizations.
Aluminium expertise covers the full range of bauxite, alumina refining, aluminium smelting and downstream finishing.
The Light Metals sector is a core business for Hatch, with more than 4,000 full-time employees available to deliver any-sized projects. Hatch has been synonymous with aluminium for more than 40 years. Today, we work with the world's leading aluminium producers on some of their most significant projects.
We are organized to understand in expert-depth the processing of those metals and minerals that are the principal assets of our continuing clients.
We develop unique metallurgical plantdesign and technologies to help our clients maintain their leadership and productivity.
Our expertise covers:
Conventional oil
Oilsands and heavy oil
Gas and LNG
Unconventional oil
Pipelines, storage and transportation
Business Systems
The objective is to create value by offering smarter and more efficient solutions to operating issues.
Hatchs insights and knowledge help improve operational effectiveness and reduce the need for capital investments. Project experience has shown that the combination of our cutting-edge technologies and operating know-how can significantly improve a clients competitive position.
Gateway infrastructure for commodity exports
Marine development and planning
Port and harbor design and construction and
Marine materials handling
Heavy rail planning, design & construction
Urban rail systems
High speed rail
Planning and logistics
Our core services include design and construction management for small and large hydroelectric developments, regulatory management, efficiency testing and dam safety. We also serve a number of specialty roles including due diligence and asset-transfer services for buyers, sellers and financial institutions.
In the growing field of wind power, we have established a reputation for taking projects from concept to final commissioning and grid connection.
In solar power, we help clients with due diligence, EPCM, environmental services and community engagement, and hybrid power generation.
Specialty areas include:
Autoclave
Coilbox
Corrosion Services
Electrolytic MacroEtcher
Fluidization Technologies
Force Feed Forward (FFF) Mill Stability System
Furnace Technology & Services
Hinged Ladle Lid
HydroVantage
Integrated Electric Furnace Control Systems
Non-Destructive Testing
N-Solv
Smart Predictive Line Controller (SPLC)
Tapblock Fibre-Optic Temperature Systems
Vista DSS
Initial investigations through to final commissioning and include investment planning, feasibility studies, regulatory affairs, environmental permitting, detail designs, cost estimating, and project/construction management
Asset condition assessments, audits and asset management processes
System studies for power transmission and distribution planning.
Desalination
Water treatment
Water resources and master planning
Process separation & membranes
Market profile
Alliances:
- Sales/Marketing
Strategic alliances:
- Mining, Minerals, Metallurgy: Process and Extraction.- Transportation: Urban and Commuter Transit; Rail, Seaports and
Airports; Tunneling;
- Engineering, Project and Construction Management.
- Management Consulting: Due Diligence; Asset
- Performance, Evaluation and Enhancement
- Environmental Engineering
- Engineering Systems and Outsourcing
Industry sector market interests:
- Construction
- Environment
- Information Technology and Telecommunications
- Manufacturing
- Mining/Petroleum/Gas
- Transportation
- Primary and Fabricated Metal
Geographic markets:
Export experience:
- Algeria
- Argentina
- Australia
- Bolivia, Plurinational State of
- Brazil
- Chile
- China
- Colombia
- Cuba
- Czech Republic
- Dominican Republic
- Ecuador
- El Salvador
- Estonia
- Guatemala
- Haiti
- Honduras
- Hungary
- India
- Indonesia
- Japan
- Kazakhstan
- Korea, Republic of
- Latvia
- Lithuania
- Mexico
- Montenegro
- Pakistan
- Panama
- Paraguay
- Peru
- Philippines
- Poland
- Puerto Rico
- Romania
- Russian Federation
- Serbia
- Singapore
- South Africa
- Trinidad and Tobago
- Ukraine
- United Kingdom
- United States
- Uruguay
- Uzbekistan
- Venezuela, Bolivarian Republic of
- Viet Nam
Sector information
Key / Major clients:
AdelaideAquaAlcan Iceland Ltd - Straumsvik
Alcoa of Australia Limited(PtH)
Agnico-Eagle
Anglo American
ArcelorMittal
Babcock of Brown Infrastructure
Baffinland Iron Mines
Barrick
BC Hydro
BHP Billiton
BM Alliance Coal Operations Pty Ltd
BlueScope Steel
Brookfield Renewable Power
Bruce Power
Canadian Natural
Chevron
Cía Contractual Minera Candelaria
CITIC Pacific Mining
CN
CODELCO
Conoco Phillips
Dodsal Engineering and Construction Pte Limited
Enel Green Power
Freeport-McMoRan
Galaxy Lithium (Jiangsu) Co.,Ltd
Go Transit
Goldcorp
Greater Toronto Airports Authority
Groote Eylandt Mining Company Pty Ltd
HMG JV
Hydro One
Impala Platinum Ltd
Kalgoorlie Consolidated Gold Mines
Kellogg Joint Venture - Gorgon
Kinross
Ma'aden
Manitoba Hydro
MOS Holdings Inc
Mosaic Corpor Inc
New Brunswick Power
Newcastel Coal Infrastructure Group
Ontario Power Generation
Pacific Hydro
Ports Corporation of Queensland
Posco
Rio Tinto
Rio Tinto Alcan
Sasol Technology Ltd
Shell
Suncor
Qinghai Salt Lake Industry Group Co., Ltd
Queensland Rail Network Pty Ltd
Saudi Arabian Mining Company (Ma'aden)
Sishen Iron Ore Company (Pty)Ltd
TANESCO
Teck
Toronto Transit Commission
Transnet Limited
Union Gas
US Steel
Vale
Votorantim
Xstrata
Xstrata Nickel
Zimbabwe Power Company
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
Hatch has over 300 of our colleagues providing study and project services to blue chip companies such as Anglo American Metallurgical Coal, BMA, BHP Billiton, Xstrata Coal, Kangra and Sasol Mining, among others. In Australia, we have particular expertise and passion in coal handling, process design and commissioning and with the recent acquisition of Process Consult this team has been further strengthened. Our coal group in South Africa has been very successful in growing a world class group. Together we are expanding our capabilities in Southern Africa, Australasia, and the Americas.
We undertake major expansions and metallurgical plant upgrades, from concept to design to construction anywhere in the world. We rebuild furnaces, introduce new process controls, and develop unique technologies that will give our clients substantial edge in cost control and productivity.
Areas of expertise include:
Rail and Transportation Systems
Ports and Marine Terminals
Water (desalination, treatment, planning, process separation and membranes)
Infrastructure services (such as program management, tailings and recovery, capital program infrastructure services and camps).
We are process engineers, automation & process control engineers, metallurgists, environmental engineers, plant simulation & modelling experts.
Hatch provides engineering for hydro, wind, tidal, solar and other renewable power generation facilities; thermal and nuclear plants; electricity transmission and distribution facilities; oil and gas developments.
We combine consulting process with technical depth. Our clients comment on our straightforward approach and success in working together with people at all levels of their organizations.
Aluminium expertise covers the full range of bauxite, alumina refining, aluminium smelting and downstream finishing.
The Light Metals sector is a core business for Hatch, with more than 4,000 full-time employees available to deliver any-sized projects. Hatch has been synonymous with aluminium for more than 40 years. Today, we work with the world's leading aluminium producers on some of their most significant projects.
We are organized to understand in expert-depth the processing of those metals and minerals that are the principal assets of our continuing clients.
We develop unique metallurgical plantdesign and technologies to help our clients maintain their leadership and productivity.
Our expertise covers:
Conventional oil
Oilsands and heavy oil
Gas and LNG
Unconventional oil
Pipelines, storage and transportation
Business Systems
The objective is to create value by offering smarter and more efficient solutions to operating issues.
Hatchs insights and knowledge help improve operational effectiveness and reduce the need for capital investments. Project experience has shown that the combination of our cutting-edge technologies and operating know-how can significantly improve a clients competitive position.
Gateway infrastructure for commodity exports
Marine development and planning
Port and harbor design and construction and
Marine materials handling
Heavy rail planning, design & construction
Urban rail systems
High speed rail
Planning and logistics
Our core services include design and construction management for small and large hydroelectric developments, regulatory management, efficiency testing and dam safety. We also serve a number of specialty roles including due diligence and asset-transfer services for buyers, sellers and financial institutions.
In the growing field of wind power, we have established a reputation for taking projects from concept to final commissioning and grid connection.
In solar power, we help clients with due diligence, EPCM, environmental services and community engagement, and hybrid power generation.
Specialty areas include:
Autoclave
Coilbox
Corrosion Services
Electrolytic MacroEtcher
Fluidization Technologies
Force Feed Forward (FFF) Mill Stability System
Furnace Technology & Services
Hinged Ladle Lid
HydroVantage
Integrated Electric Furnace Control Systems
Non-Destructive Testing
N-Solv
Smart Predictive Line Controller (SPLC)
Tapblock Fibre-Optic Temperature Systems
Vista DSS
Initial investigations through to final commissioning and include investment planning, feasibility studies, regulatory affairs, environmental permitting, detail designs, cost estimating, and project/construction management
Asset condition assessments, audits and asset management processes
System studies for power transmission and distribution planning.
Desalination
Water treatment
Water resources and master planning
Process separation & membranes
Market
Market profile
Alliances:
- Sales/Marketing
Strategic alliances:
- Mining, Minerals, Metallurgy: Process and Extraction.- Transportation: Urban and Commuter Transit; Rail, Seaports and
Airports; Tunneling;
- Engineering, Project and Construction Management.
- Management Consulting: Due Diligence; Asset
- Performance, Evaluation and Enhancement
- Environmental Engineering
- Engineering Systems and Outsourcing
Industry sector market interests:
- Construction
- Environment
- Information Technology and Telecommunications
- Manufacturing
- Mining/Petroleum/Gas
- Transportation
- Primary and Fabricated Metal
Geographic markets:
Export experience:
- Algeria
- Argentina
- Australia
- Bolivia, Plurinational State of
- Brazil
- Chile
- China
- Colombia
- Cuba
- Czech Republic
- Dominican Republic
- Ecuador
- El Salvador
- Estonia
- Guatemala
- Haiti
- Honduras
- Hungary
- India
- Indonesia
- Japan
- Kazakhstan
- Korea, Republic of
- Latvia
- Lithuania
- Mexico
- Montenegro
- Pakistan
- Panama
- Paraguay
- Peru
- Philippines
- Poland
- Puerto Rico
- Romania
- Russian Federation
- Serbia
- Singapore
- South Africa
- Trinidad and Tobago
- Ukraine
- United Kingdom
- United States
- Uruguay
- Uzbekistan
- Venezuela, Bolivarian Republic of
- Viet Nam
Sector
Sector information
Key / Major clients:
AdelaideAquaAlcan Iceland Ltd - Straumsvik
Alcoa of Australia Limited(PtH)
Agnico-Eagle
Anglo American
ArcelorMittal
Babcock of Brown Infrastructure
Baffinland Iron Mines
Barrick
BC Hydro
BHP Billiton
BM Alliance Coal Operations Pty Ltd
BlueScope Steel
Brookfield Renewable Power
Bruce Power
Canadian Natural
Chevron
Cía Contractual Minera Candelaria
CITIC Pacific Mining
CN
CODELCO
Conoco Phillips
Dodsal Engineering and Construction Pte Limited
Enel Green Power
Freeport-McMoRan
Galaxy Lithium (Jiangsu) Co.,Ltd
Go Transit
Goldcorp
Greater Toronto Airports Authority
Groote Eylandt Mining Company Pty Ltd
HMG JV
Hydro One
Impala Platinum Ltd
Kalgoorlie Consolidated Gold Mines
Kellogg Joint Venture - Gorgon
Kinross
Ma'aden
Manitoba Hydro
MOS Holdings Inc
Mosaic Corpor Inc
New Brunswick Power
Newcastel Coal Infrastructure Group
Ontario Power Generation
Pacific Hydro
Ports Corporation of Queensland
Posco
Rio Tinto
Rio Tinto Alcan
Sasol Technology Ltd
Shell
Suncor
Qinghai Salt Lake Industry Group Co., Ltd
Queensland Rail Network Pty Ltd
Saudi Arabian Mining Company (Ma'aden)
Sishen Iron Ore Company (Pty)Ltd
TANESCO
Teck
Toronto Transit Commission
Transnet Limited
Union Gas
US Steel
Vale
Votorantim
Xstrata
Xstrata Nickel
Zimbabwe Power Company


| PostgreSQL 9.3.1 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 37. Event Triggers | Next |
An event trigger fires whenever the event with which it is associated occurs in the database in which it is defined. Currently, the only supported events are ddl_command_start, ddl_command_end and sql_drop. Support for additional events may be added in future releases.
The ddl_command_start event occurs just before the execution of a CREATE, ALTER, or DROP command. No check whether the affected object exists or doesn't exist is performed before the event trigger fires. As an exception, however, this event does not occur for DDL commands targeting shared objects — databases, roles, and tablespaces — or for commands targeting event triggers themselves. The event trigger mechanism does not support these object types. ddl_command_start also occurs just before the execution of a SELECT INTO command, since this is equivalent to CREATE TABLE AS.
The ddl_command_end event occurs just after the execution of this same set of commands.
The sql_drop event occurs just before the ddl_command_end event trigger for any operation that drops database objects. To list the objects that have been dropped, use the set-returning function pg_event_trigger_dropped_objects() from the sql_drop event trigger code (see Section 9.28). Note that the trigger is executed after the objects have been deleted from the system catalogs, so it's not possible to look them up anymore.
Event triggers (like other functions) cannot be executed in an aborted transaction. Thus, if a DDL command fails with an error, any associated ddl_command_end triggers will not be executed. Conversely, if a ddl_command_start trigger fails with an error, no further event triggers will fire, and no attempt will be made to execute the command itself. Similarly, if a ddl_command_end trigger fails with an error, the effects of the DDL statement will be rolled back, just as they would be in any other case where the containing transaction aborts.
For a complete list of commands supported by the event trigger mechanism, see Section 37.2.
Event triggers are created using the command CREATE EVENT TRIGGER. In order to create an event trigger, you must first create a function with the special return type event_trigger. This function need not (and may not) return a value; the return type serves merely as a signal that the function is to be invoked as an event trigger.
If more than one event trigger is defined for a particular event, they will fire in alphabetical order by trigger name.
A trigger definition can also specify a WHEN condition so that, for example, a ddl_command_start trigger can be fired only for particular commands which the user wishes to intercept. A common use of such triggers is to restrict the range of DDL operations which users may perform.


{% extends "index.html" %} {% block code %}
File uploaded successfully
How to use the above information.
{{name.isnull().sum().to_frame('nulls').to_html()|safe}}


As it turned out I happened to help out with fixing a space to host a zig meetup here in Stockholm at the place where I work. However I haven’t written a single line of zig in my life… I felt that it might be worth doing something about that :D
If you don’t know, zig is a new systems programming language!
I have found zig quite intriguing for a while now but I haven’t had the time to look into it so this sounded like an as good excuse as any! I’ll try something new with this post and just write as I go and document my success/failure/reflections, this might make it a bit “rambly” :)
What to build?
First off, I needed to decide on what to try and build just to have a goal and not just do some aimless “twatting about”, something small but that still produce something. I decided on a simple image to ascii converter. There are a multitude of these around that will probably be better than this one but who cares!
I decided on this as its small, does a bit of io, does a bit of command-line, a bit of “algorithm work” and probably some c-interop, and it could probably be optimized a bit if I want to.
Lets go!
Step 1… build something?
I needed to get something building! The first instinct said “Let’s hit google and search for ‘zig how to get started’”.
5 minutes later I had the compiler and toolchain installed, initialized my project and have something running… impressive!
A bit more info might be interesting to you readers! So my google search turned up https://ziglang.org/learn/getting-started/ as the first result, that in turns pointed me to the downloads page. As I’m on ubuntu I decided to do the ‘snap’ install via:
snap install zig –classic –edge
After this the getting started page told me about zig init-exe
and zig build run
and I was off to the races!
Step 2… syntax highlighting!
Can’t write code without a decent editing environment, so let’s see what we can do about that?
I know that the “getting started” page talk about this, but vscode as I use as an editor at home already points me to the marketplace, lets start there.
Installing “Zig” and “Zig Language Server (zis) for VSCode” and lets see what happens!
Another 5 min and syntax is highlighting and some rudimentary auto-completion is in place!
Step 3… time to write something by myself.
Reading the initial generated main.zig
, clear and concise but short. Nice that there is a test embedded in the generated code as well. I have never been a fan of having tests and implementation in the same file but we’ll see how that turns out, especially since testing seems builtin to the language. I guess there is nothing that force me to have the test in the same file as implementation?
Trying to uncomment the .deinit()
in the test to see what happens.
var list = std.ArrayList(i32).init(std.testing.allocator);
// defer list.deinit(); // try commenting this out and see if zig detects the memory leak!
try list.append(42);
try std.testing.expectEqual(@as(i32, 42), list.pop());
Good to get an early introduction to memory-handling this early, otherwise it might have come as a surprise. I’m usually a fan of manual memory-management but also working in c++ all day long at work might make this something to get used to. Also what are these try
-statements, defer
I get (and like!), but try
is a bit unclear, might have been good with a bit of clarification directly in the generated file? Just a quick comment like:
// adding a 'try' here will do x/y/z.
// Read more at 'https://ziglearn.org/chapter-1/#errors'
So, what is the first thing that I need? I’ll need to read a data from stdin and or via an -i
-flag. First I thought that I should use some lib, but I’m learning zig now, just do the simplest thing you can yourself in this simple case!
So getting argc/argv? A few questions and reflections popped up.
Debug-printing something and getting this callstack is kind of bad, sure it tells me what is wrong but it gives me an error in the standard-lib and not in my code where I introduced the issue. It also hides my line from the trace, so I can’t even see the line where I introduced the error!
At least it mentions -freference-trace
, but as a user this might not be what I want :)
wc-duck@WcLaptop:~/kod/zig_img_to_ascii$ zig build run
/snap/zig/6044/lib/std/fmt.zig:86:9: error: expected tuple or struct argument, found [:0]const u8
@compileError("expected tuple or struct argument, found " ++ @typeName(ArgsType));
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
referenced by:
print__anon_4373: /snap/zig/6044/lib/std/io/writer.zig:28:27
print__anon_3784: /snap/zig/6044/lib/std/debug.zig:93:21
remaining reference traces hidden; use '-freference-trace' to see all reference traces
Issue introducing this was just me being used to “c” for a long time and writing:
std.debug.print("{s}\n", arg);
and not:
std.debug.print("{s}\n", .{arg});
This line is the most important thing to me as a user, hence it should be mentioned in the actual error!
Next up, can I run zig build run
with command line args? Couldn’t find anything in the huge zig --help
. Also tried to do something as zig run help
to just get help on run
but no. After a bit of guessing I found that zig build run -- --arg --go --here
works and pass all args after --
to your app. Not really unexpected as it is kind of a known idiom , but also not documented… as far as I can tell?
std.debug.print()
requires args and can not just print a string… unexpected. Forcing a .{}
is not really ergonomic :(
std.debug.print("I just want some output\n", .{}); // :(
Comparing strings threw me, as many others it seems, off as there are no standard way doing it… having to define your own streq()
seems a bit excessive as it is not an unheard of operation!
fn streq(comptime s1 : []const u8, s2 : []const u8 ) bool {
return std.mem.eql(u8, s1, s2);
}
Sure, that is just a wrapper around std.mem.eql()
, comparing strings is far from trivial if you are to do it “correctly” etc…
At the time of writing this post I found that there is the std.ascii
module, but that do not have a simple .eql()
, only .eqlIgnoreCase()
. I guess that comes from “there should be one, and only one way, of doing one thing” and std.mem.eql()
already exists but I would argue that that is taking it a bit to far. From my point of view an std.ascii.eql(s1, s2)
would provide more clarity at the callsite + making it easier to discover other “ascii”-functions etc.
But after some ‘faffing about’, commandline is parsing, probably really badly :)
const CmdLineArgs = struct {
input: ?[]const u8 = null,
};
fn parse_args(alloc : std.mem.Allocator) CmdLineArgs
{
var args = try std.process.argsWithAllocator(alloc);
// skip my own exe name
_ = args.skip();
var out = CmdLineArgs{};
while(args.next()) |arg| {
if(streq("--input", arg) or streq("-i", arg)) {
out.input = args.next();
}
else if(streq("--help", arg) or streq("-h", arg)) {
std.debug.print("HEEELP\n", .{});
}
else{
std.debug.print("unknown arg {s}\n", .{arg});
}
}
return out;
}
Step 4… loading images and c-interop
Time to load a source-image, and as this is not an exercise in writing an image-loader and zig prides itself with c-interop, lets drop stb_image.h
in there and get that running!
This actually turned out a bit harder than expected, mostly due to how stb_image.h
is implemented with having to define STB_IMAGE_IMPLEMENTATION
. This forced me to add an stb_image.c
that just include stb_image.h
and set the define.
This lead me down into the zig-buildsystem and build.zig
and add this… pretty sleek!
exe.addCSourceFile("src/stb_image.c", &[_][]const u8{"-std=c99"});
exe.addIncludePath("src");
exe.linkLibC();
But how did I find out how to do this, it basically took googling “stb_image zig” and ending up with Andrew:s tetris-implementation on github. Maybe not the best and clearest documented thing. At the other hand you probably shouldn’t need to officially “document” how to use a specific lib from zig :D
However a short blog-post about it, and only it, would be useful… maybe for kihlander.net?
Left the project for a few days…
Step 5… produce some output!
Unfortunately my note-taking was, to put it mildly, “lacking” under the actual implementation of the to-ascii work. But it is mostly a few loops and I’m pretty sure that you can find better resources on how to convert an image to ascii that this blog :)
In short, convert image to grayscale, use average in a block of x*x pixels to map into list of character.
But I do have “The king of all cosmos” as ascii “art” at least :)
Turning this:
Into this:
.......;:.........;x:,oo..:%;.;o,................
..................o%;,%x,.:%o.o%:.................
..................;x:,oo,.:x;,;x:.................
..................:o,,::,,,o,,:o...........,,.....
..................;%:,xo,,:%;,o%,..........:,.....
.................,;x;:%%;,o%o:ox:.................
.................,oxoo%#o:%%%;%x:,................
..........,.....,,oo%x%#%x##xxxo;,...........,,...
.........,;,....,,xxoo%#@@@#xooxo,..........,;;...
........:oo;,...,:xxoo%#@@##xooxx,.........,;oo:..
........,;o;,..,,;xooo%#@@##xooxx,,.........:;;,..
,.,....,.:;,..,,,;xooo%#@@##xooxx,,,.........:,...
,,,,,,,,,,,,,,,,,oxxoo%#@@##xooxx:,,,,,,,,,,,,,,,,
;;;;:;;;;;::;;:;;xxooo%%###%xooox;::::::::::;:::::
;;oo;;oo;;;;;;;;;;oo;;;;ox;;;;;oo:;;;;;;;;;;o;;;;;
ooooo;oo;;;;;;;;;:x#%xo;ox;;ox%%o:;;;;;;;;;oo;;ooo
oo%xoooo;;;;;;;;:;%###%xoxox%%##x:;;;;;;;;;oo;;oxo
ooxoooooxxxxxxxo:o####%%%%%%%###%o;xxooooxxoo;ooxo
ooooooox#######x;xxxooooxxoooooxxx:x%%%%%%%xoo;ooo
ooooooxxxxxxxxxo;;::,,:::;;::,,:;;:xxxxxxxxxxooooo
ooooxxoooooooooo;:::,,,:;o;:,,,:,;:ooooooooooooooo
xxxxxooooooooooooo;;::;;x%o;:::;;o;ooooooooooooxoo
xxxxxxoooooooxo:x%%xooxxxxxxooox%%o;oooooooooooxoo
%xxxxxxxxxxxxxo;x%%%%%%oxxxx%%%%%%x:oxxxxxxxxxxxoo
#xxx%@@@@@@@@#oo%##%%%xoxxxox%%%%%%;x@@@@@@@@@%xox
%xx%%%#@@@@@@%:o%##%%%xxxxxoxx%%##%o;#@@@@@@#%%xxx
xxx%%%%%%%%%%o:x%%%%xxoxxxxooxx%%%xo:o%%%%%%%xxxxo
xxxxxxx%xxxxx;:xxxxxxooxxoxxoxxxxxxo,oxxxxx%xxooox
xxxxxxxxxxxxx;:ooooooooxo;oxooooooo;,;xoooxxxooooo
xxx%%xoxxxxxx;,;;;;o;ooo;;;oo;;;;;;;,oxxxxxooox%xo
ox%#%xoox%@@#;,;;;;;;;::::,::;;;;;;:.o####xooo%#%o
oo%@#xoox%@@#:.:;;:;:,...,...,:;,;;:.;@@@#oooo%@%o
ooxxxo;ooxxxx:.:;;:,,:;;,,,;;:,,:;;,.;xxxxo;;oxxxo
;;;oo;;oooooo,.,:;:.:o;:...:;o:.:;:, :oo;;;;;;;;;;
;;;;;;;;;;:;;. .::;:;;.,,,,,,;;:;::. ,;;:::;;;;;;;
:::;;;;;;;;;;. .,::;,:;ooooo:,::::.. ,;;:;:;;;::::
:::;;;;ooooo; ..::,,,,,,,,:::.. .;o;;;;;;;;::
;:::;oxxxxxx; ,;::,....,,:::. ;xoooooo::::
;::::;;;;;;;: ,:;;::,,:::;;:. :::;;::;::,,
:,,:::::,,,:, ,:;oo:. .;oo;:. ::,,,,,,::,,
,,,::,,,,,,,,, ,:;xx;, :oxo;:. ,,,,,,,,,,,,,
,,,,,,,,,,,,,,,. .,:;;;: :;;;:,. .,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,,, .,,,,, ,,,,,. ,,,,,,,,,,,,,,,,
,,,:::;;oxxo;::::, ...... .......,::::;oxoo;:::,,,
ooxx%%%#@@@%oxx%%x;..... .....,;x%%xxo#@@@#%%xxoo
@@@@@@@@@####@@@@@x:,..,:::, .,;%@@@@######@@@@@@@
@@@@@@@@@@@@@@@@@#%o;,;x###x;,;o%#@@@@@@@@@######@
@@@@@@@@@@@@@@@@#%xo;x#@@@@@%o;ox%##@@@@@@@@@@@@@#
%x%#@@@@@@@@@@@#%%xo;%@@@@@@@x;ox%%##@@@@@@@@@@%%x
xoox%@@@@@@@@@##%xxox##%xxx%@#o;ox%######@@@@@%ooo
Ugly ascii art yes… but still! And the code is as crapy as ever!
It looks better in my terminal :D But I think it comes down to tweaking the “alphabet” used, deciding how many chars to use in width etc. Nothing really interesting for this post.
Conclusion
Time for a few reflections and conclusions.
First off all, zig do not feel ready for “primetime” for me but I do feel that it has a promising future. It has many good ideas that sit right with me and seems well suited to the kind of work that I usually do.
The good
Good defaults
I like the defaults when it comes to how the language is designed and how the builds are setup with Debug/ReleaseSafe/ReleaseSmall/ReleaseFast.
Memory allocation is explicit
As someone that has been coding c and c++ in this way for a long time (or at least tried to advocate for this style) it feel right at home having this builtin to the language with the tools needed to make it fairly streamlined. Forcing the user to take responsibility for memory is a good thing. But that is also said as a “systems programmer”, who’s responsibility it is to think about these kind of things on a daily basis. Would it go over as well with one of my colleges working in gameplay where iteration time is of an essence when prototyping things and design can change, radically, from hour to hour? Probably not?
comptime
feels like a powerful paradigm
comptime
feels powerful. Being able to not have to use a “special” language such as templates for your generic code, I like that! It feels clear and easy to read and understand. But how is it to debug? As it is “just zig”, could there be some kind of special build or maybe a way to step through and evaluate generic code in a debugger?
This would be such a powerful feature, to be able to use your day-to-day debugger to debug your compile-time evaluated code!
Build System
Easy to get going and builtin as a first class part of the language. Not being an afterthought.
This worked really well for me on my small test-project and I guess it would work really well for bigger projects as well. But how would it scale to really big code-bases, especially with lots of custom build steps (looking at you Apex-engine, looking at you!), that is to be seen?
Trying to “work well with” c instead of replacing c!
I really like that zig is trying to work with the current landscape that is already there instead of trying to replace it from the ground up. There is just so much great and well established libraries and tools out there already. Making it easy to interact with these instead of trying to replace them sounds like the right choice to me.
Things like zlib
, curl
and sqlite
will probably not be re-written any time soon!
The bad
Compile times.
The compile times are far from “good”, to put it politely :( And this just for a small commandline app that would probably compile in non-noticeable time in c
. Throwing a big project on this would probably not be sustainable today.
time to build, clean (no ./zig-cache and ./zig-out) on my machine:
real 0m11,741s
user 0m8,777s
sys 0m5,789s
YAUSA!!!
time to build, small update to ‘main.zig’ on my machine:
real 0m1,074s
user 0m0,953s
sys 0m0,183s
… for such a small change, not really “stellar” :(
I know that this is being worked upon and with the new self-hosted compiler it has become (according to “the interwebs”) a lot better but im not sure how far you can take it?
With all comptime
etc it will be a problem to get it fast. The computations will have to be done regardless and the more calculations that has to be done compile-time the more expensive it will be! But I’ll be happy to be proven wrong and it’s definitively possible that it can get to a decent state!
@compileError
, I don’t want errors down in the stdlib!
Getting errors deep down in the stdlib when I made an error in my own code is not really good. See the error discussed above on sending invalid parameters to std.debug.print()
and getting the error deep down in the stdlib.
How to address this, I don’t know. This is the same problem as static_assert()
and template-errors in c++. However zig should be able to leverage that it has proper modules instead of glorified copy-paste that is c-includes :)
I do see @compileError
as a really good paradigm, but without this problem solved it feels like it is going to end up as the c++-style wall-of-text that you have to decipher in order to find the real error you made.
Hopefully this is at least seen as a problem by the zig-community and there should at least be things that can be done to make it less painful?
Please give me a way to iterate over an integer range!!!
ARGH! The loops over a range of integers!
var block_h: u32 = 0;
while (block_h < block_cnt_h) : (block_h += 1) {
var block_w: u32 = 0;
while (block_w < block_cnt_w) : (block_w += 1) {
}
}
If I had a swedish “krona” for each bug this introduced during my short time with zig I would probably be able to afford a really cheap cup of “snut-kaffe” (cop coffee in swedish). This was really cumbersome to use and far from nice. Really clunky!
However at the meetup I got to ask Loris Cro about this and got the answer that this is going to be addressed in the future, see https://kristoff.it/blog/zig-self-hosted-now-what/ under “New for loop syntax”! That one seem quite nice and will hopefully remove this gripe of mine in the future!
I guess this, again, comes down to “there should be one, and only one way, of doing one thing” and in theory I find that to be a valiant goal but when it gets in the way of ergonomics like this it is far from good. However as it seems as if it is being addressed, the main developers seem open to change if it would really benefit the language as in this case! And it is always easier to give a small feature than remove something that turned out to be a mistake, so it is probably a good thing that features is just not thrown in there if they are not proven to be needed!
Local functions
Nope, not there. This tripped me up a bit. This is honestly nothing major but personally I have started using local functions more and more and I think they make my code simpler and cleaner over all. I know that there has been discussions in the zig-community about it but I haven’t tried to find what the conclusions has been.
Documentation is good… the documentation that’s there that is!
Yeah… the documentation. It is good! When you can find it and it exists :( Usually you end up in some blog, some github issue or similar. But zig is a young language, it is not that unexpected that documentation is lacking at this point in time!
 My 20 years of writing c and c++ trips me up all the time. This however I guess is more on me than the actual syntax… maybe? There are quite a lot of usage of single characters like _
, !
, ?
, :
that make the code terse, but is quite the hurdle when you are new to the language.
But thanks for not using the dreaded backtick (`) for anything!!! Please go google “backtick scandinavian keyboard” for some “opinions” from us up north!
the preferred, idiomatic, format :)
Again this is just a choice that is neither good or bad, just a choice… that I would not have made! I don’t like it, but as it is a matter of taste it is kind of silly to complain about as no one will ever prove the other right as there is no right/wrong ( except when it comes to space-vs-tab and snake_case_being_the_way_god_intended() ;) )!
Where to next?
So where do this take me? I will still keep an eye on zig and its development. Will it become my primary language of choice? Not yet, but maybe someday. I really hope/think that zig has a future and we will see more of it.
If nothing else and zig just disappears some day (not likely!) it will at least have brought interesting ideas to the programming world and proved/disproven that they work and what they can bring to the table!
I do think that I will keep fiddling with zig in the future. I have had some thought going like “everyone has to have written an NES-emulator in their life right?”, and maybe it would be worth doing that in zig just for the fun of it?
I’m also intrigued about trying out zig as a buildsystem for my data serialization library (we all got one right?) “datalibrary” and see how that turns out!
In the end… this was kind of fun, would do again! And here, finally is a link to the crappy source for the img-to-ascii converter!
https://github.com/wc-duck/zig_img_to_ascii
Helpful resources
- https://ziglang.org/
- https://ziglearn.org/
- official doc
- The blog of Loris Cro - this must have been the one of my most used resources!


coniii
coniii.enumerate
coniii.enumerate_potts
coniii.ising
coniii.ising.automaton
coniii.mean_field_ising
coniii.pseudo_inverse_ising
coniii.samplers
coniii.solvers
coniii.test_samplers
coniii.test_solvers
coniii.test_utils
coniii.utils
Contents:


The essential key to 3D point cloud fusion is to find 3D point correspondences, based on which similarity transformation can be estimated to roughly align point clouds and then adopt algorithms like ICP to register them accurately. To robustly determine the 3D point correspondences between noisy point clouds, expressive descpritors are very important. There are two main types of 3D feature descriptors to date:
Local geometry based descriptor. 3D geometry can be described in terms of different native 3D formats, including voxel grid and polygon mesh. This method is more suitable for dense and watertight point clouds.
2.1 Voxel grid. Use binary voxel representation, e.g., 3D ShapeNets [5].
2.2 Polygon mesh. Use norm (1st order), surface curvature (2nd order), etc, e.g., [2].
2.3 Combination of both above.


|
tan
0.0.1
|
Public Member Functions | |
| Token (TokenType tokenType, str value, const Cursor &cursor, const SourceLine *line) | |
| str | to_string () const |
| std::ostream & | operator<< (std::ostream &os) const |
Public Attributes | |
| TokenType | type = TokenType::END |
| str | value = "" |
| size_t | l = 0 |
| size_t | c = 0 |
| SourceLine * | line = nullptr |
| bool | is_unsigned = false |


Tired ...
Late night hockey practice makes for a new mouthguard.
Yes I should of posted yesterday, but we did not get home until almost 10pm after hockey practice and then by the time I'd finished hanging up the hockey gear to air out overnight and a shower it was 11pm! So suffice it to say I didn't have any time to post last night after hockey and today, what a day , it was shocking to say the least, busy, busy and then busy, just in case you didn't figure it out today was a busy day!
Back to hockey practice, in a word, AWESOME! We had such a great time and the hour really did go far too quickly, I think we spent almost as much time getting ready when you consider I had to dress Braden and then myself as well as undress us both after training finished. I've said it to friends, I have never felt so uncoordinated in my life, well with the exception of trying to ball-room dance just prior to getting married to Vicki. But I digress, it is hard enough to skate, then to add the hockey gear adds a little more difficulty, but trying to control a stick, and a puck while moving!!  I think I need some practice in just skating with a stick to get used to the movements and where the stick should be at each stage of the stride.
I think I worked harder than I have for a while in that training session, you are in 8 - 10 degree air, on a frozen pool of water and yet I still had sweat dripping from my face and nose! It was so difficult to do what was asked of us, but I tried to do everything and did as well as I could, I was having such a great time that I didn't even think about it, well much. Even wearing all that gear I was still a little apprehensive about forwards to backwards transitions but the stick did help to balance when I messed up.
Vicki seemed in her element, but I think she had some issues controlling her stick as well. At least she said did, and I think she did pretty well all things considering. I do know she had a few troubles with how to angle the stick on turns, but she got the hang of it towards the end. I think that was the easy bit for me, turns seemed to be quite easy, but the rest wasn't so easy, I think it was the opposite for Vicki.
I cannot wait for next Thursday though, to do it all again!
Of course Braden was his usual forgetful self at the end of the session. Which is nothing bad, honestly, it was 9pm and he'd spent the last hour racing around so he was tired. He packed his own bag just prior to leaving, and of course left a few things ... Lets see, he left his cup, his pants, that was the first time. Then he came back for his shin pads and one of his gloves ... well I thought we had everything until we got home. Somewhere along the way he lost his mouthguard. For some reason typing that gives me déjà vu, it reminds me of a dream I had, or should I say recall.
So this morning before work I had to go and get him a new one this morning, with every intention of getting him a nice Shock Doctor gel nano that Id seen when looking for something for me. I then saw something a little smaller on the shelf below, and thought that would be much better than the one he had. We ended up boiling it and sizing it for him tonight and wow, what a great fit. So much better than the other one he had, I think he will like this one much better, lets just hope it lasts a little longer!
He is a very happy camper at the moment though, although he is in bed, his Grandma is here for the weekend, and of course he rarely sees her, so it is great for both him and his Grandma! I know he will want to show off to her when she watches him ice skate tomorrow and then again for hockey practice on Sunday morning.


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Game Description :
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standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it
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Game Rules :
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's
standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it
to make a type specimen book.


What triangle I'm I?.
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prove which triangular "crime"
you are guilty of.
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Show a confirmation dialog when you close Add Database, Add Schema, Create New Table, or Modify Table dialogs. Close means clicking Cancel or pressing Escape. If the checkbox is cleared, the dialog closes instantly.


I am a Full Stack Software Engineer gaining experience in leveraging agile frameworks, creating innovative
solutions for web applications ulitizing collaborative environments and leading edge technology.
I approach challenges like a puzzle, to figure out how the interlocking pieces work together.
Technology is intended to be play with, broken and made better with every interaction.
A fun way to better understand React Hooks, Styled Components, and Game Theory
Built using React, Hooks, ans Styled-Components
Built to engage the customer with the company's Buy One Gaard One moto.
Admin user is able to create QR code/Link that
brings user to site that displays unique plot of land based on purchase.
Built with React, Redux, Redux-Saga, Node, Express, ArcGIS
A Survey Form built to guide a user through the feedback process. Allows the user to see their progress and how many more steps there are in the process. Built with React, Redux, Webpack, Axios, Material UI, and postgreSQL.
An open communication platform for a small scale garden community. Used to view, create, save, and organize messages from members of the community.
Built using React, Redux, Redux-Saga, Node, PostgreSQL, Material-ui
Built as practice of the implementation of a Mongo Database Schema. Integrating best testing practices with Jest testing systems.
 In the winter, I am an avid snowshoer, and during the warmer months, I enjoy hiking, and gardening.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the web development world.


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Action Table
A complete listing of Coronium ChatterBox actions:
| Action Name | Description | Scope |
|---|---|---|
| joinRoom | Join a room. | client |
| sendMessage | Send a message to the room. | room |
| sendWhisper | Send a private message to a client. | client |
| sendSystemMessage | Send a system message to the room. | room |
| changeName | Change the client name. | client |
| getRoomList | Get a list of active rooms from the server. | client |
| getId | Get the client unique ID. | client |
| getName | Get the client name. | client |
| disconnect | Disconnect the client from the server. | client |
changeName
Change the client name.
Action Parameters
| Parameters | Description | Type |
|---|---|---|
| name | The new client name. | String |
Example
cb:changeName( 'Marco' )
See also: OnNameChange event.
disconnect
Disconnect the client from the server.
Action Parameters
This action has no parameters.
Example
cb:disconnect()
See also: OnClosed event.
getId
Get the clients unique identifier.
Action Parameters
This action has no parameters.
Example
local id = cb:getId()
getRoomList
Get a list of active rooms from the server.
Action Parameters
This action has no parameters.
Example
local name = cb:getRoomList()
See also: OnRoomList event.
getName
Get the clients name.
Action Parameters
This action has no parameters.
Example
local name = cb:getName()
joinRoom
Join a room.
Note
A client can only be connected to one room at a time. When joining a new room, the client will automatically leave the previous room.
Action Parameters
| Parameters | Description | Type |
|---|---|---|
| room | The room ID to join. | String |
Example
cb:joinRoom( 'GameOne' )
See also: OnJoined event.
sendMessage
Send a message to the room.
Warning
Do not use the reserved sequence // (two forward slashes) in your message body.
Important
The message body must be of type String.
Action Parameters
| Parameters | Description | Type |
|---|---|---|
| message | The message content. | String |
Example
cb:sendMessage( 'Hello people!' )
See also: OnMessage event.
sendSystemMessage
Send a system message to the room.
Warning
Payload data cannot contain \n (newline) characters.
Action Parameters
| Parameters | Description | Type |
|---|---|---|
| action | The system action ID. | String |
| payload | The action payload. | Table |
Example
cb:sendSystemMessage( 'player_turn', {turn = 1} )
See also: OnSystemMessage event.
sendWhisper
Send a private message to a client.
Warning
Do not use the reserved sequence // (two forward slashes) in your message body.
Important
The message body must be of type String.
Action Parameters
| Parameters | Description | Type |
|---|---|---|
| message | The message content. | String |
| to_id | The recipient ID. | String |
Example
cb:sendWhisper( 'Hello you!', 'b697869e-5e07-4a91-89bd-1c737123cae2' )
Note
You can obtain a recipient ID from the client list. See the OnClientList event.
See also: OnWhisper event.


Bafana's AFCON Schedule After Second Place In Group
by Soccer LadumaBafana Bafana have moved in to second place in Group C of the 2021 Africa Cup Of Nations qualifiers after their first win on the weekend.
The South African national team secured a 1-0 win over Sudan at the Orlando Stadium on Sunday afternoon, this after suffering defeat in their opening encounter against Ghana.
Read more: Chiefs And Maritzburg Face Suspensions
Ghana are currently top of the table with two wins in two matches, with the qualifiers now only set to resume next year.
Bafana will play back-to-back clashes against Sao Tome in August and September 2020, while Ghana will lock horns with Sudan twice.
Thereafter in October 2020, South Africa will host Ghana and then travel away to Sudan in November for the last qualifier of the group stages.
The top two finishes in the group will qualify for the 2021 Africa Cup Of Nations in Cameroon.


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28 December 2014 Last updated at 01:17 ET
Rail services to resume after delays
Reduced rail services are due to run from some London stations, after overrunning engineering works cause major disruption on Saturday.
Delayed rail passengers speak out
'Queue for train went on and on'