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Elixir v1.3.4 Keyword
A set of functions for working with keywords.
A keyword is a list of two-element tuples where the first element of the tuple is an atom and the second element can be any value.
A keyword may have duplicated keys so it is not strictly
a key-value store. However most of the functions in this module
behave exactly as a dictionary so they work similarly to
the functions you would find in the Map
module.
For example, Keyword.get/3
will get the first entry matching
the given key, regardless if duplicated entries exist.
Similarly, Keyword.put/3
and Keyword.delete/3
ensure all
duplicated entries for a given key are removed when invoked.
A handful of functions exist to handle duplicated keys, in
particular, Enum.into/2
allows creating new keywords without
removing duplicated keys, get_values/2
returns all values for
a given key and delete_first/2
deletes just one of the existing
entries.
The functions in Keyword do not guarantee any property when
it comes to ordering. However, since a keyword list is simply a
list, all the operations defined in Enum
and List
can be
applied too, specially when ordering is required.
Summary
Functions
Deletes the entries in the keyword list for a specific key
Deletes the entries in the keyword list for a key
with value
Deletes the first entry in the keyword list for a specific key
Drops the given keys from the keyword list
Checks if two keywords are equal
Fetches the value for a specific key
and returns it in a tuple
Fetches the value for specific key
Gets the value for a specific key
Gets the value from key
and updates it, all in one pass
Gets the value from key
and updates it. Raises if there is no key
Gets the value for a specific key
Gets all values for a specific key
Returns whether a given key
exists in the given keywords
Returns all keys from the keyword list
Returns true
if term
is a keyword list; otherwise returns false
Merges two keyword lists into one
Merges two keyword lists into one
Returns an empty keyword list, i.e. an empty list
Creates a keyword from an enumerable
Creates a keyword from an enumerable via the transformation function
Returns and removes all values associated with key
in the keyword list
Returns and removes the first value associated with key
in the keyword list
Lazily returns and removes all values associated with key
in the keyword list
Puts the given value
under key
Puts the given value
under key
unless the entry key
already exists
Evaluates fun
and puts the result under key
in keyword list unless key
is already present
Takes all entries corresponding to the given keys and extracts them into a separate keyword list
Takes all entries corresponding to the given keys and returns them in a new keyword list
Returns the keyword list itself
Updates the key
in keywords
with the given function
Updates the key
with the given function
Returns all values from the keyword list
Types
Functions
Deletes the entries in the keyword list for a specific key
.
If the key
does not exist, returns the keyword list unchanged.
Use delete_first/2
to delete just the first entry in case of
duplicated keys.
Examples
iex> Keyword.delete([a: 1, b: 2], :a)
[b: 2]
iex> Keyword.delete([a: 1, b: 2, a: 3], :a)
[b: 2]
iex> Keyword.delete([b: 2], :a)
[b: 2]
Deletes the entries in the keyword list for a key
with value
.
If no key
with value
exists, returns the keyword list unchanged.
Examples
iex> Keyword.delete([a: 1, b: 2], :a, 1)
[b: 2]
iex> Keyword.delete([a: 1, b: 2, a: 3], :a, 3)
[a: 1, b: 2]
iex> Keyword.delete([a: 1], :a, 5)
[a: 1]
iex> Keyword.delete([a: 1], :b, 5)
[a: 1]
Deletes the first entry in the keyword list for a specific key
.
If the key
does not exist, returns the keyword list unchanged.
Examples
iex> Keyword.delete_first([a: 1, b: 2, a: 3], :a)
[b: 2, a: 3]
iex> Keyword.delete_first([b: 2], :a)
[b: 2]
Drops the given keys from the keyword list.
Duplicated keys are preserved in the new keyword list.
Examples
iex> Keyword.drop([a: 1, b: 2, c: 3], [:b, :d])
[a: 1, c: 3]
iex> Keyword.drop([a: 1, b: 2, b: 3, c: 3, a: 5], [:b, :d])
[a: 1, c: 3, a: 5]
Checks if two keywords are equal.
Two keywords are considered to be equal if they contain the same keys and those keys contain the same values.
Examples
iex> Keyword.equal?([a: 1, b: 2], [b: 2, a: 1])
true
iex> Keyword.equal?([a: 1, b: 2], [b: 1, a: 2])
false
iex> Keyword.equal?([a: 1, b: 2, a: 3], [b: 2, a: 3, a: 1])
true
Fetches the value for a specific key
and returns it in a tuple.
If the key
does not exist, returns :error
.
Examples
iex> Keyword.fetch([a: 1], :a)
{:ok, 1}
iex> Keyword.fetch([a: 1], :b)
:error
Fetches the value for specific key
.
If key
does not exist, a KeyError
is raised.
Examples
iex> Keyword.fetch!([a: 1], :a)
1
iex> Keyword.fetch!([a: 1], :b)
** (KeyError) key :b not found in: [a: 1]
Gets the value for a specific key
.
If key
does not exist, return the default value
(nil
if no default value).
If duplicated entries exist, the first one is returned.
Use get_values/2
to retrieve all entries.
Examples
iex> Keyword.get([], :a)
nil
iex> Keyword.get([a: 1], :a)
1
iex> Keyword.get([a: 1], :b)
nil
iex> Keyword.get([a: 1], :b, 3)
3
With duplicated keys:
iex> Keyword.get([a: 1, a: 2], :a, 3)
1
iex> Keyword.get([a: 1, a: 2], :b, 3)
3
Gets the value from key
and updates it, all in one pass.
This fun
argument receives the value of key
(or nil
if key
is not present) and must return a two-element tuple: the “get” value
(the retrieved value, which can be operated on before being returned)
and the new value to be stored under key
. The fun
may also
return :pop
, implying the current value shall be removed from the
keyword list and returned.
The returned value is a tuple with the “get” value returned by
fun
and a new keyword list with the updated value under key
.
Examples
iex> Keyword.get_and_update([a: 1], :a, fn current_value ->
...> {current_value, "new value!"}
...> end)
{1, [a: "new value!"]}
iex> Keyword.get_and_update([a: 1], :b, fn current_value ->
...> {current_value, "new value!"}
...> end)
{nil, [b: "new value!", a: 1]}
iex> Keyword.get_and_update([a: 1], :a, fn _ -> :pop end)
{1, []}
iex> Keyword.get_and_update([a: 1], :b, fn _ -> :pop end)
{nil, [a: 1]}
Gets the value from key
and updates it. Raises if there is no key
.
This fun
argument receives the value of key
and must return a
two-element tuple: the “get” value (the retrieved value, which can be
operated on before being returned) and the new value to be stored under
key
.
The returned value is a tuple with the “get” value returned by fun
and a new
keyword list with the updated value under key
.
Examples
iex> Keyword.get_and_update!([a: 1], :a, fn current_value ->
...> {current_value, "new value!"}
...> end)
{1, [a: "new value!"]}
iex> Keyword.get_and_update!([a: 1], :b, fn current_value ->
...> {current_value, "new value!"}
...> end)
** (KeyError) key :b not found in: [a: 1]
iex> Keyword.get_and_update!([a: 1], :a, fn _ ->
...> :pop
...> end)
{1, []}
Gets the value for a specific key
.
If key
does not exist, lazily evaluates fun
and returns its result.
This is useful if the default value is very expensive to calculate or generally difficult to setup and teardown again.
If duplicated entries exist, the first one is returned.
Use get_values/2
to retrieve all entries.
Examples
iex> keyword = [a: 1]
iex> fun = fn ->
...> # some expensive operation here
...> 13
...> end
iex> Keyword.get_lazy(keyword, :a, fun)
1
iex> Keyword.get_lazy(keyword, :b, fun)
13
Gets all values for a specific key
.
Examples
iex> Keyword.get_values([], :a)
[]
iex> Keyword.get_values([a: 1], :a)
[1]
iex> Keyword.get_values([a: 1, a: 2], :a)
[1, 2]
Returns whether a given key
exists in the given keywords
.
Examples
iex> Keyword.has_key?([a: 1], :a)
true
iex> Keyword.has_key?([a: 1], :b)
false
Returns all keys from the keyword list.
Duplicated keys appear duplicated in the final list of keys.
Examples
iex> Keyword.keys([a: 1, b: 2])
[:a, :b]
iex> Keyword.keys([a: 1, b: 2, a: 3])
[:a, :b, :a]
Returns true
if term
is a keyword list; otherwise returns false
.
Examples
iex> Keyword.keyword?([])
true
iex> Keyword.keyword?([a: 1])
true
iex> Keyword.keyword?([{Foo, 1}])
true
iex> Keyword.keyword?([{}])
false
iex> Keyword.keyword?([:key])
false
iex> Keyword.keyword?(%{})
false
Merges two keyword lists into one.
All keys, including duplicated keys, given in keywords2
will be added
to keywords1
, overriding any existing one.
There are no guarantees about the order of keys in the returned keyword.
Examples
iex> Keyword.merge([a: 1, b: 2], [a: 3, d: 4])
[b: 2, a: 3, d: 4]
iex> Keyword.merge([a: 1, b: 2], [a: 3, d: 4, a: 5])
[b: 2, a: 3, d: 4, a: 5]
Merges two keyword lists into one.
All keys, including duplicated keys, given in keywords2
will be added
to keywords1
. The given function will be invoked to solve conflicts.
If keywords2
has duplicate keys, the given function will be invoked
for each matching pair in keywords1
.
There are no guarantees about the order of keys in the returned keyword.
Examples
iex> Keyword.merge([a: 1, b: 2], [a: 3, d: 4], fn _k, v1, v2 ->
...> v1 + v2
...> end)
[b: 2, a: 4, d: 4]
iex> Keyword.merge([a: 1, b: 2], [a: 3, d: 4, a: 5], fn :a, v1, v2 ->
...> v1 + v2
...> end)
[b: 2, a: 4, d: 4, a: 5]
iex> Keyword.merge([a: 1, b: 2, a: 3], [a: 3, d: 4, a: 5], fn :a, v1, v2 ->
...> v1 + v2
...> end)
[b: 2, a: 4, d: 4, a: 8]
Creates a keyword from an enumerable.
Duplicated entries are removed, the latest one prevails.
Unlike Enum.into(enumerable, [])
, Keyword.new(enumerable)
guarantees the keys are unique.
Examples
iex> Keyword.new([{:b, 1}, {:a, 2}])
[b: 1, a: 2]
iex> Keyword.new([{:a, 1}, {:a, 2}, {:a, 3}])
[a: 3]
Creates a keyword from an enumerable via the transformation function.
Duplicated entries are removed, the latest one prevails.
Unlike Enum.into(enumerable, [], fun)
,
Keyword.new(enumerable, fun)
guarantees the keys are unique.
Examples
iex> Keyword.new([:a, :b], fn(x) -> {x, x} end)
[a: :a, b: :b]
Returns and removes all values associated with key
in the keyword list.
All duplicated keys are removed. See pop_first/3
for
removing only the first entry.
Examples
iex> Keyword.pop([a: 1], :a)
{1, []}
iex> Keyword.pop([a: 1], :b)
{nil, [a: 1]}
iex> Keyword.pop([a: 1], :b, 3)
{3, [a: 1]}
iex> Keyword.pop([a: 1, a: 2], :a)
{1, []}
Returns and removes the first value associated with key
in the keyword list.
Duplicated keys are not removed.
Examples
iex> Keyword.pop_first [a: 1], :a
{1, []}
iex> Keyword.pop_first [a: 1], :b
{nil, [a: 1]}
iex> Keyword.pop_first [a: 1], :b, 3
{3, [a: 1]}
iex> Keyword.pop_first [a: 1, a: 2], :a
{1, [a: 2]}
Lazily returns and removes all values associated with key
in the keyword list.
This is useful if the default value is very expensive to calculate or generally difficult to setup and teardown again.
All duplicated keys are removed. See pop_first/3
for
removing only the first entry.
Examples
iex> keyword = [a: 1]
iex> fun = fn ->
...> # some expensive operation here
...> 13
...> end
iex> Keyword.pop_lazy(keyword, :a, fun)
{1, []}
iex> Keyword.pop_lazy(keyword, :b, fun)
{13, [a: 1]}
Puts the given value
under key
.
If a previous value is already stored, all entries are removed and the value is overridden.
Examples
iex> Keyword.put([a: 1], :b, 2)
[b: 2, a: 1]
iex> Keyword.put([a: 1, b: 2], :a, 3)
[a: 3, b: 2]
iex> Keyword.put([a: 1, b: 2, a: 4], :a, 3)
[a: 3, b: 2]
Puts the given value
under key
unless the entry key
already exists.
Examples
iex> Keyword.put_new([a: 1], :b, 2)
[b: 2, a: 1]
iex> Keyword.put_new([a: 1, b: 2], :a, 3)
[a: 1, b: 2]
Evaluates fun
and puts the result under key
in keyword list unless key
is already present.
This is useful if the value is very expensive to calculate or generally difficult to setup and teardown again.
Examples
iex> keyword = [a: 1]
iex> fun = fn ->
...> # some expensive operation here
...> 3
...> end
iex> Keyword.put_new_lazy(keyword, :a, fun)
[a: 1]
iex> Keyword.put_new_lazy(keyword, :b, fun)
[b: 3, a: 1]
Takes all entries corresponding to the given keys and extracts them into a separate keyword list.
Returns a tuple with the new list and the old list with removed keys.
Keys for which there are no entries in the keyword list are ignored.
Entries with duplicated keys end up in the same keyword list.
Examples
iex> Keyword.split([a: 1, b: 2, c: 3], [:a, :c, :e])
{[a: 1, c: 3], [b: 2]}
iex> Keyword.split([a: 1, b: 2, c: 3, a: 4], [:a, :c, :e])
{[a: 1, c: 3, a: 4], [b: 2]}
Takes all entries corresponding to the given keys and returns them in a new keyword list.
Duplicated keys are preserved in the new keyword list.
Examples
iex> Keyword.take([a: 1, b: 2, c: 3], [:a, :c, :e])
[a: 1, c: 3]
iex> Keyword.take([a: 1, b: 2, c: 3, a: 5], [:a, :c, :e])
[a: 1, c: 3, a: 5]
Updates the key
in keywords
with the given function.
If the key
does not exist, inserts the given initial
value.
If there are duplicated keys, they are all removed and only the first one is updated.
Examples
iex> Keyword.update([a: 1], :a, 13, &(&1 * 2))
[a: 2]
iex> Keyword.update([a: 1, a: 2], :a, 13, &(&1 * 2))
[a: 2]
iex> Keyword.update([a: 1], :b, 11, &(&1 * 2))
[a: 1, b: 11]
Updates the key
with the given function.
If the key
does not exist, raises KeyError
.
If there are duplicated keys, they are all removed and only the first one is updated.
Examples
iex> Keyword.update!([a: 1], :a, &(&1 * 2))
[a: 2]
iex> Keyword.update!([a: 1, a: 2], :a, &(&1 * 2))
[a: 2]
iex> Keyword.update!([a: 1], :b, &(&1 * 2))
** (KeyError) key :b not found in: [a: 1]


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@(crew : String)
The temperature is dropping dramatically and bad weather has rolled in. It is a constant battle to keep ice accumulation from overtaking the ship. The further North you travel the more the conditions worsen. Pushing forward could very well be a suicide mission.
Current crew size: @crew


March 21st and 22nd
Happy Hacking and Happy Tweeting #GBSUHack15
Sunday, March 29 at 3:00pm - 8:30pm
At TEDxDalhousieU 2015, we want you to show us your X!
Thursday, April 2 at 10:00pm - 2:00am
Picture an adult slumber party where the goal is to stay up all night wearing whatever you'd wear to bed!
Thursday, April 16at 8:00pm
This month a team of students from Enactus Saint Mary's University will be heading to Bolivia to teach entrepreneurship and business skills to 100 youth, including a group of 30 orphaned youth in Cochabamba.
How often do we ask ourselves, What's Happening Right Now?
Curated through your current moods & emotions, activities & interests or fetish music style, we've got you covered for the day.
Address: Saint Mary’s University
Date: March 21-22, 2015
Ticket Price: $5 (sold out)
Happy Hacking and Happy Tweeting #GBSUHack15
Address: Saint Mary’s University
Date: March 27-28, 2015
Ticket Price: Free
The oneNS Coalition will design the challenge.
Students will have 24 hours to design their solution.
Address: Volta - Halifax Start-up House
5415 Spring Garden Road, Halifax
Date: 13 September 2015 at 5:00 PM - 15 September 2015 at 5:00
Ticket Price: Free- $50
Volta is hosting a 48-hour hackathon on September 14 and 15, 2015.
Through the Halifax Regional Municipality’s Open Data initiative,
developers will get access to municipal data that can be used to
build apps to solve community problems.
Address: 597 South Park st
Date: March 28, 2015, 7:00pm
Ticket Price: Free
We are all about learning, teaching, and just enjoying dance.. Bring a partner or come alone!
Address: 9786 Tower Rd
Date: October 23, 2015
Ticket Price: Free
Visit the water alone or with your loved ones,
either way its a great psychologic and relieving experience
Address: 1273 Inglis St
Date: April 25, 2015, 7:30am
Ticket Price:Free
Volta is hosting a 48-hour hackathon on September 14 and 15, 2015.
This Meetup group provides an outlet to
meet new people and build friendships while experiencing
adventures outdoors.
Address:HRM Public Library Spring Garden
Date: 7 April 2015 from 5:30 PM to 7:30 PM
Ticket Price: $25
What is social change? Social change is defined as the changes people
make to their behavior that, when taken collectively, benefit society.
Address: Saint Mary's University
Date: April 25, 2015, 7:30pm
Ticket Price:$20
Snipy the hypnotist is coming to the town again!
Get your first experience of hypnotism on 25th April.
Buy the tickets before they get sold out
Address: 9786 Tower Rd
Date: October 23, 2015
Ticket Price: Free
Visit the water alone or with your loved ones,
either way its a great psychologic and relieving experience
Address: Dalhousie Univerisity
Date: March 29, 2015, 3:00pm - 8:30pm
Ticket Price: $25
At TEDxDalhousieU 2015, we want you to show us your X!
Address: Saint Mary's University
Date: April 25, 2015, 7:30pm
Ticket Price:$20
Snipy the hypnotist is coming to the town again!
Get your first experience of hypnotism on 25th April.
Buy the tickets before they get sold out
Address: 9786 Tower Rd
Date: October 23, 2015
Ticket Price: Free
Visit the water alone or with your loved ones,
either way its a great psychologic and relieving experience


Top opportunities on Dezeen Jobs this week include positions at Ström Architects and David Chipperfield Architects
by Cara BrayWe've selected the most exciting roles on Dezeen Jobs this week, including vacancies at British studios Ström Architects and David Chipperfield Architects.
Hampshire studio Ström Architects is searching for a newly qualified architect to become part of its team in Lymington, UK. The practice designed a timber-clad annex for a home in England's New Forest, modelled on a "rustic boutique hotel".
Model-maker at David Chipperfield
David Chipperfield has recently completed the West Bund Museum in Shanghai, which contains the Centre Pompidou's first Chinese outpost. The practice has an opening for an architectural model-maker at its studio in London.
See more positions in London ›
Architect/interior designer at Vincenzo De Cotiis Architects
Vincenzo De Cotiis Architects is searching for an architect/interior designer to become part of its team in Milan, Italy. The studio created its En Plein Air objects, a collection of high-detail furniture made from combining precious materials with recycled fibreglass.
Design studio AvroKO overhauled a hotel in Hong Kong, opening its core to form a triple-height atrium and restaurant space. The practice is recruiting for a senior designer to lead the design team at its office in London.
Browse more vacancies for designers ›
Junior/intermediate designer at Studio Unltd
Los Angeles firm Studio Unltd is looking for a junior or immediate designer to become part of its team in Los Angeles, USA. The practice transformed a former Los Angeles warehouse into a Middle Eastern restaurant, taking interior influences from Morocco and Turkey.
See all the latest architecture and design roles on Dezeen Jobs ›


crafting with CSS a pure CSS presentation
HTML primer: familiar tags
HTML primer: additional tags
block elements
inline elements
other elements
Moral of the Story: Pick the right element for your content!
the box model
- Width and height are set on the content.
- Padding is the space between the content and the border.
- Margin is the space between the border and external elements.
- Notice margins collapse for vertically stacked elements.
-
When
box-sizing: border-box;
you'll notice the width and height set for the element now include padding and border rather than just the content. -
outline:
is generally used to indicate focus and does not affect the size of the element. To hide a focus outline on an already styled attribute, you can putoutline:none;
.
Inspect My Parent!
box-sizing
content-box
content-box
box-sizing
border-box
border-box
cascading rules: specificity
When multiple rules match, specificity score is calculated based on the composition of the selectors.
| Selector Types | Instances in Example | Value per Instance | Total |
|---|---|---|---|
| Inline Style | 1000 | ||
| ID selectors | 100 | ||
| Class Selector, Attribute Selector, Pseudo-class Selector | 10 | ||
| Element Selector, Pseudo-element Selector | 1 | ||
| Total Specificity |
- In the event of tied specificity, the rule that comes last wins.
- Adding
!important
to a declaration adds 10,000 to that specific property. It is like a sledge-hammer: effective, but messy. Only use when absolutely necessary.
Click a rule to see it's score!
Check out MDN for more information about specificity.
position
static
- Default Places document in normal document flow
relative
- Allows for changes in position relative to the static position. Static position is left in document flow.
absolute
- Allows for changes in position relative to the closest ancestor not statically positioned. Static position is removed from the flow.
fixed
- Allows for changes in position relative to the viewport. Static position is removed from the flow.
sticky
- Hybrid of static and fixed. Static position until the element is at the top of the viewport, then fixed to the top of the viewport when scrolled past. Static position is left in document flow.
z-index
- Z-Index represents an arbitrary depth level repsective to the current stacking context
- A stacking context is created by several elements
<html>
or the root stacking context- Basically any element with
z-index: <integer>
- Element with
position: fixed | sticky
- Element with
transform:
orfilter:
set
- Any child of one of these elements will only compare z-index with it's siblings
- The heirarchy of stacking contexts is a subset of the DOM tree
- An element's stacking context is determined by the closest ancestor with a stacking context
flexbox
Controlling Flex from Parent
align-items:
justify-content:
flex-direction:
flex-wrap:
align-content:
Controlling Flex from Child
order:<integer>
flex:<flex-grow> <flex-shrink> <flex-basis>
align-self:
Every third box has a different line-height
giving it a different baseline than the others.
centering things
with flexbox
parent {
display:flex;
align-items: center;
justify-content: center;
}
or
parent {
display: flex;
}
child {
align-self: center;
justify-self: center;
}
with position
parent {
position: relative;
}
child {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%,-50%);
}
with text-align
child {
white-space: nowrap;
height: 30px;
line-height: 30px;
/* heights must match */
text-align: center;
}
Note: Only works on single line text in block element of defined height
vertical-align: middle;
only works on specific elements. You will only really use it on table cells.
CSS variables
Themes on Root
Select A Theme:
Applying the Theme
code {
background-color: var(--code-background-color);
color: var(--code-text-color);
font-family: var(--code-text-font);
}
Rules to Remember
:root
refers to the root of the document, in HTML, the<html>
element- Setting a variable below the root will only be available on the element selected and its decendants
- A CSS variable can contain an entire property value, or a partial value, e.g.:
--default-size: 5px; main { border: var(--default-size) solid #000; }
resources
- Highly recommend MDN for reference on specific elements and properties
- CSS-Tricks Flexbox Guide is fantastic
- Check out Roko C. Buljan's Pen to see how to do a pure css slideshow
- Check out Favicon.io to easily generate favicons and icons
- Check out CSSGradient.io to help generate gradients for css rules
Disclaimer: This presentation is entirely CSS, no javascript. Do I recommend that? No! Use the right tool for the right job. This exercise was done simply to show that you can do a lot with css.


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.
VCI Controls Inc.
Legal/Operating Name:
VCI Controls Inc.
Alternate Name:
VCI
Mailing Address:
D-1 Royal Gate BlvdWOODBRIDGE, Ontario
L4L 8Z7
Location Address:
D-1 Royal Gate BlvdWOODBRIDGE, Ontario
L4L 8Z7
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Company Profile
VCI Controls: Bringing Electronic Technology and Construction
Together
Construction and high technology are two words you don't often
hear in the same sentence. A computer seems out of place in the
world of hard-hats, cranes and girders. The developers of most
automated systems are more familiar with computers and software
than with the complexities of a major construction project while
most control equipment manufacturers are only familiar with
construction.
At VCI Controls, we understand both these technical disciplines.
We engineer, manufacture, install and service automated systems
designed specifically for the energy management and building
control markets. Our project managers have construction
backgrounds and our software engineers wear hard-hats. Our
installers are engineers, electricians, fitters and electronics
technicians. We're the largest Canadian-owned company providing
Canadian designed and manufactured electronic building control
systems and we've been meeting the needs of our Building
Automation clients since 1979. Our systems are installed across
Canada, in buildings as small as 20,000 sq. ft. and as large as
The Museum of Civilization. We are controlling the environment
and saving energy costs for a diverse client list including
schools, airports, hospitals and government and commercial
office
buildings.
Over the years, we've worked hard to develop a complete approach
to Building Controls, incorporating all aspects of system
delivery from Engineering, to Manufacturing, to Installation and
Service with a commitment to ongoing Research and Development.
Our goal is to ensure that VCI Controls is the electronic
building controls supplier for today's requirements... and
tomorrow's.
Manufacturing :
VCI Controls' manufacturing staff is totally familiar with the
production of electronic building control equipment. In
keeping
with VCI's philosophy of applying the most recent technologies,
we use state-of-the-art production methods including CAD / CAM
techniques to design printed circuit boards. Metal work is
performed on computerized NC Machines. Working out of our
plant
in Nepean, Ontario, the manufacturing staff build and test all
the components of our systems including our recently introduced
product, the 9100. Stringent quality assurance tests are
applied
to all components prior to shipment to site. VCI's electronic
building control systems have been designed to meet the widest
range of specifications and industry standards possible.
However,
should our clients have specialized requirements, our
manufacturing and engineering groups will design and build
custom
components.
Engineering :
The success of any project is determined during the planning
stage. Time spent in evaluating needs and developing solutions
means time saved during installation and lower maintenance
costs.
Most importantly, good planning results in customer
satisfaction.
VCI Controls employs a full staff of engineers to plan and
design the most efficient, cost manufacturing effective system
for our clients.
Application Engineers:
Evaluate client needs and ensure our system is configured to
meet
all project requirements.
Hardware Engineers:
Ensure the most recent, but proven, technology is considered
when
engineering the system.
Software Engineers:
Ensure our software incorporates state-of-the-art technology
while maintaining the maximum flexibility, capability,
reliability and ease of use for our clients.
Instrumentation Engineers:
Ensure our customers get the advantages of the most reliable,
accurate, cost-effective instrumentation and equipment
available.
Installation :
From co-ordinating schedules with other construction trades to
ensuring specifications have been carefully reviewed by both
local and factory engineering staff, our project managers work
with the client to ensure a smooth installation.
Operating from a construction trailer at the job site or from
our
local office, we will install all electronic or pneumatic
equipment, instrumentation, wiring, conduit and computers. There
is no aspect of installing a control system which our trained
personnel are not prepared to undertake. VCI has a permanent
staff of electricians, fitters and electronics technicians.
These
careful, experienced installation crews are directed by Project
Managers familiar with construction and backed up by management
and technical expertise at our local branch offices. Factory
expertise is also available when required. A job is never
complete until we have verified all aspects of the system are
operating properly and to our client's satisfaction. To the
project managers at VCI, installation also extends to training
of client personnel both in a classroom environment and at the
client's site. We want our clients to understand the system
as
well as we do.
Service :
VCI believes that system flexibility extends to choice of after-
sale service options. We provide our clients with a wide range
of
service options, from a training program for the "do-it-
yourself"
to complete facilities management for those requiring a
comprehensive service contract. Whichever combination you
choose,
our trained and experienced staff of technicians are available
24
hours a day backed by a complete inventory of replacement parts
located at our offices. Service staff also have round the clock
access to factory personnel and to our large factory inventory.
At VCI, we not only service what we sell, we will assume
responsibility for equipment supplied by others. Our staff are
factory trained in electronics, pneumatic instrumentation,
control applications and computer software technology to provide
a complete service offering.
Research and Development:
In today's world of advancing technology, VCI Controls is
dedicated to making those advances work for our clients. The
first direct digital control (DDC), all-electronic building
automation system in Canada was installed by VCI. And our
investment in new technologies continues.
Our most recent product addition, the 9100 Networked Energy
Management System, is the result of an effort by a development
team with expertise in electronics, instrumentation, software
and
control applications. Building on the success of our 8100
series,
the 9100 features advanced networking facilities, allowing full
distributed capabilities throughout the building.
VCI Controls... combining high technology and building control
expertise to bring the computer to the construction site.
Branch Offices:
Toronto
Moncton
Fredericton
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
Networked Energy Management Control System provides
unprecedented power, flexibility, and ease-of-use. It features a
full Windows Graphical User Interface with "point and shoot"
operation controlled by the click of a mouse.
ENVISIONis the latest in a series of ground-breaking control
systems engineered by VCI Controls - a series started in l980
with the first all-electronic, direct digital control system in
the industry.
In keeping with our commitment to our existing client base, VCI
designed ENVISION to be compatible with all current VCI
installations.
With ENVISION, VCI continues its commitment to providing
customers with the most advanced Building Automation Systems.
Operator Workstation
The OWS allows complete facility management of all system
functions right down to individual control points. Based upon a
386 IBM-PC (or compatible) technology and running Windows, it
provides a Graphical User Interface, (point and shoot) for all
functions.
It has plenty of power to spare - letting you open windows to
concurrently run third party software such as spreadsheets or
word processing. Graphics can be imported from CAD systems for
visual continuity.
VCI Enhanced Controller
The VECcontains all of the control and energy conservation
algorithms. It can operate as a networked device or as a
standalone controller. In networked mode, it can be controlled,
interrogated and re-programmed from the OWS or LWS. Small
installations can be serviced by a single VEC operated
through a laptop workstation.
High-speed OWS Network
The high-speed network operates at speeds up to 10/100 MB / sec
over a variety of transmission media. The OWS network supports
either the ARCnet or Ethernet architecture.
Laptop Workstation
The LWS provides "on the spot" workstation capability where
you need it and when you need it. The LWS can be connected
directly to an individual VEC for complete
access and control for the entire facility. The LWS is ideal for
troubleshooting and maintenance work. Remote access is available
via modem.
Field Interface Devices
FID modules are networked together to the VEC. Failure of one
module on the network does not affect communication or operation
of any other module on the network. Diagnostics are built into
each module of the FID to provide ease of maintenance. This
design architecture allows installation of modules in close
proximity to field instrumentation thus providing significant
savings in wiring costs. Future system expansion and installation
are also made easier by this module design.
9100 Protocol Communication Gateway
Application Specific Controllers
9100 ASCs provide standalone control and monitoring functions for
applications such as compartment units, Vav boxes and heat pumps.
In networked mode, they can be controlled, interrogated and re-
programmed from the VEC, LWS, or OWS.
Summary of Features
Operator Workstation
IBM-PC (or compatible) running windows
Multiple workstations communicating via OWS network
Full colour graphics screen with mouse driven GUI
On-line programming
Open windows to concurrently run third party software
Complete facility management of all system functions
VEC
True multi-tasking, multi-user capability
Totally standalone, contains all control and energy
conservation programs
Single VECControl for small installations
Networked VECs via PCU LAN
Exception reporting provides fast response times
High Speed OWS Network
High speed communication network
Ethernet LAN operates at 10/100MB / sec
Operates over a variety of transmission media
Application Specific Controllers and Field Interface Devices
Standalone DDC control at ASC units
A variety of interchangeable modules available
Module failures do not affect remaining modules
Networked to minimize wiring costs and maximize reliability
Microprocessor controlled, all solid-state construction
Laptop Workstation
Portable and powerful
Based on IBM-PC compatible laptop design
Can be connected directly to an individual VEC or
FID
Ideal for troubleshooting and maintenance
Remote communications via modem
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
Networked Energy Management Control System provides
unprecedented power, flexibility, and ease-of-use. It features a
full Windows Graphical User Interface with "point and shoot"
operation controlled by the click of a mouse.
ENVISIONis the latest in a series of ground-breaking control
systems engineered by VCI Controls - a series started in l980
with the first all-electronic, direct digital control system in
the industry.
In keeping with our commitment to our existing client base, VCI
designed ENVISION to be compatible with all current VCI
installations.
With ENVISION, VCI continues its commitment to providing
customers with the most advanced Building Automation Systems.
Operator Workstation
The OWS allows complete facility management of all system
functions right down to individual control points. Based upon a
386 IBM-PC (or compatible) technology and running Windows, it
provides a Graphical User Interface, (point and shoot) for all
functions.
It has plenty of power to spare - letting you open windows to
concurrently run third party software such as spreadsheets or
word processing. Graphics can be imported from CAD systems for
visual continuity.
VCI Enhanced Controller
The VECcontains all of the control and energy conservation
algorithms. It can operate as a networked device or as a
standalone controller. In networked mode, it can be controlled,
interrogated and re-programmed from the OWS or LWS. Small
installations can be serviced by a single VEC operated
through a laptop workstation.
High-speed OWS Network
The high-speed network operates at speeds up to 10/100 MB / sec
over a variety of transmission media. The OWS network supports
either the ARCnet or Ethernet architecture.
Laptop Workstation
The LWS provides "on the spot" workstation capability where
you need it and when you need it. The LWS can be connected
directly to an individual VEC for complete
access and control for the entire facility. The LWS is ideal for
troubleshooting and maintenance work. Remote access is available
via modem.
Field Interface Devices
FID modules are networked together to the VEC. Failure of one
module on the network does not affect communication or operation
of any other module on the network. Diagnostics are built into
each module of the FID to provide ease of maintenance. This
design architecture allows installation of modules in close
proximity to field instrumentation thus providing significant
savings in wiring costs. Future system expansion and installation
are also made easier by this module design.
9100 Protocol Communication Gateway
Application Specific Controllers
9100 ASCs provide standalone control and monitoring functions for
applications such as compartment units, Vav boxes and heat pumps.
In networked mode, they can be controlled, interrogated and re-
programmed from the VEC, LWS, or OWS.
Summary of Features
Operator Workstation
IBM-PC (or compatible) running windows
Multiple workstations communicating via OWS network
Full colour graphics screen with mouse driven GUI
On-line programming
Open windows to concurrently run third party software
Complete facility management of all system functions
VEC
True multi-tasking, multi-user capability
Totally standalone, contains all control and energy
conservation programs
Single VECControl for small installations
Networked VECs via PCU LAN
Exception reporting provides fast response times
High Speed OWS Network
High speed communication network
Ethernet LAN operates at 10/100MB / sec
Operates over a variety of transmission media
Application Specific Controllers and Field Interface Devices
Standalone DDC control at ASC units
A variety of interchangeable modules available
Module failures do not affect remaining modules
Networked to minimize wiring costs and maximize reliability
Microprocessor controlled, all solid-state construction
Laptop Workstation
Portable and powerful
Based on IBM-PC compatible laptop design
Can be connected directly to an individual VEC or
FID
Ideal for troubleshooting and maintenance
Remote communications via modem


SIS 0.2-incubating Release notes
New Features
Improvements
- [SIS-35] - Include JDOM license in the NOTICE file and remove servlet dependency
Bug fixes
- [SIS-25] - Location servlet doesn't return correct coordinates for point-radius query region
- [SIS-26] - Use of Java 1.6 Annotation in /sis-core/src/main/java/org/apache/sis/storage/GeoRSSData.java
- [SIS-29] - Website must display disclaimer text
- [SIS-34] - LICENSE/NOTICE file is in incorrect location in SIS webapp
Tasks
- [SIS-27] - Update sis-parent/pom.xml compile target to 1.6


Estimates the parameters of a given distribution and evaluates the probability density function with these parameters. This can be useful for comparing histograms or kernel density estimates against a theoretical distribution.
stat_theodensity( mapping = NULL, data = NULL, geom = "line", position = "identity", ..., distri = "norm", n = 512, fix.arg = NULL, start.arg = NULL, na.rm = TRUE, show.legend = NA, inherit.aes = TRUE )
| mapping | Set of aesthetic mappings created by |
|---|---|
| data | The data to be displayed in this layer. There are three options: If A A |
| geom | Use to override the default geom for |
| position | Position adjustment, either as a string, or the result of a call to a position adjustment function. |
| ... | Other arguments passed on to |
| distri | A |
| n | An |
| fix.arg | An optional named list giving values of fixed parameters of the named distribution. Parameters with fixed value are not estimated by maximum likelihood procedures. |
| start.arg | A named list giving initial values of parameters for the named distribution. This argument may be omitted (default) for some distributions for which reasonable starting values are computed. |
| na.rm | If |
| show.legend | logical. Should this layer be included in the legends?
|
| inherit.aes | If |
A Layer ggproto object.
Valid distri
arguments are the names of distributions for
which there exists a density function. The names should be given without a
prefix (typically 'd', 'r', 'q' and 'r'). For example: "norm"
for
the normal distribution and "nbinom"
for the negative binomial
distribution. Take a look at distributions
in the
stats package for an overview.
There are a couple of distribution for which there exist no reasonable
starting values, such as the Student t-distribution and the F-distribution.
In these cases, it would probably be wise to provide reasonable starting
values as a named list to the start.arg
argument. When estimating a
binomial distribution, it would be best to supply the size
to the
fix.arg
argument.
By default, the y values are such that the integral of the distribution is
1, which scales well with the defaults of kernel density estimates. When
comparing distributions with absolute count histograms, a sensible choice
for aesthetic mapping would be aes(y = stat(count) * binwidth)
,
wherein binwidth
is matched with the bin width of the histogram.
For discrete distributions, the input data are expected to be integers, or doubles that can be divided by 1 without remainders.
Parameters are estimated using the
fitdist
()
function in the
fitdistrplus package using maximum likelihood estimation.
Hypergeometric and multinomial distributions from the stats package
are not supported.
probability density
density * number of observations - useful for comparing to histograms
density scaled to a maximum of 1
# A mixture of normal distributions where the standard deviation is # inverse gamma distributed resembles a cauchy distribution. x <- rnorm(2000, 10, 1/rgamma(2000, 2, 0.5)) df <- data.frame(x = x) ggplot(df, aes(x)) + geom_histogram(binwidth = 0.1, alpha = 0.3, position = "identity") + stat_theodensity(aes(y = stat(count) * 0.1, colour = "Normal"), distri = "norm", geom = "line") + stat_theodensity(aes(y = stat(count) * 0.1, colour = "Cauchy"), distri = "cauchy", geom = "line") + coord_cartesian(xlim = c(5, 15))# A negative binomial can be understood as a Poisson-gamma mixture df <- data.frame(x = c(rpois(500, 25), rpois(500, rgamma(500, 5, 0.2))), cat = rep(c("Poisson", "Poisson-gamma"), each = 500)) ggplot(df, aes(x)) + geom_histogram(binwidth = 1, aes(fill = cat), alpha = 0.3, position = "identity") + stat_theodensity(aes(y = stat(count), colour = cat), distri = "nbinom", geom = "step", position = position_nudge(x = -0.5)) + stat_summary(aes(y = x, colour = cat, x = 1), fun.data = function(x){data.frame(xintercept = mean(x))}, geom = "vline")


Introduction
This style guide is a work in progress. Our goal for the Buffer Style Guide is to provide a library of all atoms, molecules, organisms, templates, and pages that make up the Buffer web app and company website.
Our Style Guide was designed with these goals in mind:
- To be the point of truth for our user interface for the Buffer web app.
- To enable us to move faster with design that has been tested by the Growth team.
- To introduce a level of data-driven thinking when building and designing.
- To help make software development easier.
Design at Buffer
What we use
To design at Buffer, we use Sketch by the amazing folks at Bohemian Coding.
How we currently manage our Sketch style guide
We currently have one Sketch file that holds all of our symbols that we copy and paste in to new Sketch files as we need them. We're exploring separating the different categories of UI into their own Sketch files and eventually have them as downloadable assets in each section.
Organization within Sketch
We try and maintain a 1:1 nomenclature with our codebase and Sketch. If a button used within code has a class name of button button--secondary
, our layer/symbol name will have that same name. This makes it easier for anyone who isn't a Product Designer to jump in and see that link between Sketch and code.
Prototyping at Buffer
What we use
Prototyping helps us remain lean when conducting experiments for new features, growth experiments, product enhancements, customer development, and more! Our tool of choice here is InVision, another wonderful tool to add to our belt!
How we use InVision
We start by creating a new prototype and give it a descriptive name. From there, we invite fellow Buffer team mates who'll be working with us on this project. Using InVision Sync, we export our artboards to the "Screens" folder, which will automatically sync with our new prototype on the web. From the web app, we start adding hotspots and segues to the different artboards we imported and once finished, we're ready for feedback from the team!
With InVision's amazing commenting system, we rely heavily on this to collect our feedback and iterate on the design. Sometimes we'll jump into a LiveShare and explain our prototypes over a video call!
Building Buffer
Atomic Design Thinking
When thinking about UI at Buffer and how we might construct it, we're inspired by Brad Frost's Atomic Design.
Brad breaks down a design system into 5 distinct categories; atoms, molecules, organisms, templates, and pages.
Atoms
Following Brad's chemistry analogy, we think of our atoms as being singular pieces of UI such as an icon or a button with a text label. These are our smallest building blocks.
Molecules
A UI component consisting of more than one atom is considered a molecule. For example, a button with both an icon and a text label is a button molecule with two atoms; a text label and an icon.
Organisms
A piece of UI consiting of multiple molecules is considered an organism. An example organism is a post. Posts are comprised of many molecules and atoms and together form a complex piece of UI.
Templates
Templates occur When a group of organisms are stitched together. For example, the queue in Content → Queue would be categorized as a template as it isn't a complete page by itself but forms part of the entire Queue page.
Pages
Pages are a collection of templates that form that specific page.
HTML & Sass
Each UI component has been tested in Chrome and Safari. In the example block, you can see an actual render of the markup and CSS and then its markup immediately after. The intention here is to help our Engineers copy and paste the markup into React components and the Sass into the connected Less file.
React
Over time, we'd love to replace the rendered HTML and Sass with the actual React component.


Demo of error correcting code
----- | | | v x1 x2->x3 | | | y1 y2 y3
x3 = even parity bit yi = noisy copy
Contents
Build model
xs = 1:3; ys = 4:6; G = zeros(6,6); G(xs(1:2), xs(3)) = 1; for i=1:3, G(xs(i), ys(i)) = 1; end ns = 2*ones(1,6); CPD = cell(1,6); prior = [0.5 0.5]; for i=1:2 CPD{xs(i)} = tabularFactorCreate(reshape(prior, 2, 1), xs(i)); end % even parity T = zeros(2,2,2); for i=1:2 for j=1:2 ii = i-1; jj = j-1; if (iseven(ii+jj)) T(i,j,:) = [1 0]; else T(i,j,:) = [0 1]; end end end %dispcpt(T) CPD{xs(3)} = tabularFactorCreate(T, xs); noiseLevel = 0.2; T = [1-noiseLevel noiseLevel; noiseLevel 1-noiseLevel]; for i=1:3 CPD{ys(i)} = tabularFactorCreate(T, [xs(i) ys(i)]); end joint = tabularFactorMultiply(CPD);
Decode message
yobs = [1 0 0]+1; % marginal MAP mmap = zeros(1,3); for i=1:3 p = tabularFactorCondition(joint, xs(i), sparsevec(ys, yobs)); fprintf('p(x%d=1|y)=%5.3f\n', i, p.T(2)) mmap(i) = argmax(p.T)-1; end mmap % find joint modes of posterior pCond = tabularFactorCondition(joint, xs, sparsevec(ys, yobs)); pmax = max(pCond.T(:)); ndx = find(pCond.T == pmax) modes = ind2subv(2*ones(1,3), ndx)-1
p(x1=1|y)=0.653 p(x2=1|y)=0.347 p(x3=1|y)=0.347 mmap = 1 0 0 ndx = 1 4 6 modes = 0 0 0 1 1 0 1 0 1
Display joint
K = 2^3; lab=cellfun(@(x) {sprintf('%d ',x)}, num2cell(ind2subv(2*ones(1,3),1:K)-1,2)); figure; bar(pCond.T(:)) set(gca,'xtick',1:K); xticklabelRot(lab, 90, 10, 0.01) title('p(x|y=1,0,0) for error correcting code network') printPmtkFigure('errorCorrectingCodePost')


Coding Quiz
This quiz might seem easy, but I'm also quite new to coding. I'm not lame, I'm inexperienced.
Question goes here
Your score:
submit


Registers an event listener for AAMVA card data and displays the data values as they are reported.
| Address: | No Data |
| Birth Date: | No Data |
| City: | No Data |
| Class: | No Data |
| Endorsements: | No Data |
| Expiration Date: | No Data |
| Eye Color: | No Data |
| First Name: | No Data |
| Gender: | No Data |
| Hair Color: | No Data |
| Height: | No Data |
| License Number: | No Data |
| Postal Code: | No Data |
| Restrictions: | No Data |
| State: | No Data |
| Suffix: | No Data |
| Surname: | No Data |
| weight: | No Data |


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface GraphLayout
An Interface for laying out graphs (ie networks of nodes and edges). This is used by Network2DDisplay as the source of nodes and edges to draw. The intention here is that the layout algorithm is separated from the actual drawing code. Concrete implementations should work with lists of DrawableNonGridNodes. These nodes are expected to draw themselves, but have their x and y coordinates set via whatever layout algorithm is used by the implementing class.
GraphLayout extends ActionListener. The intent here is that computationally intensive layouts can listen for the Controller's stop, pause, etc. button clicks and interrupt themselves. See the source code to KamadaGraphLayout for an example of this.
| Method Summary | |
|---|---|
void |
appendToList(DrawableNonGridNode node)
Appends the specified nodes to the list of nodes to be laid out by this GraphLayout. |
void |
appendToList(java.util.List listOfNodes)
Appends a list of nodes to the current list of nodes to be laid out by this GraphLayout. |
int |
getHeight()
Gets the height of the area on which to layout the graph. |
java.util.ArrayList |
getNodeList()
Gets the list of nodes. |
int |
getWidth()
Gets the width of the area on which to layout the graph. |
void |
setList(java.util.List listOfNodes)
Sets the list of nodes to be laid out by this GraphLayout. |
void |
setUpdate(boolean doUpdate)
Sets whether the display will update or not when updateLayout is called. |
void |
updateLayout()
Updates the layout of this graph by setting the x, y coordinate of each DrawableNonGridNode in the current list of nodes. |
| Methods inherited from interface java.awt.event.ActionListener |
|---|
actionPerformed |
| Method Detail |
|---|
int getHeight()
int getWidth()
void setList(java.util.List listOfNodes)
void appendToList(java.util.List listOfNodes)
void appendToList(DrawableNonGridNode node)
void updateLayout()
java.util.ArrayList getNodeList()
void setUpdate(boolean doUpdate)
doUpdate
- if true, this GraphLayout will perform the layout when
updateLayout is called. If false, then the layout will not be
performed.
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


This is an open source project licensed under the MIT license. If you want to contribute, you can do so at https://github.com/radu-munteanu/single-board-computers or at https://gitlab.com/radu-munteanu/single-board-computers.
The following table contains a list of single board computers
Note that some information isdeduced from the official description found on the site of the computer's producer or the site of the SoC's producer or from any additional sites that contain information about the technology or standards used in building the computer.
| Name | SoC | CPU | CPU Frequency | GPU | RAM Type | RAM Array Clock | RAM Bus Clock | RAM Size Options | Ethernet | WiFi | Bluetooth | USB Ports | OpenGL ES | OpenCL | Video I/O | Audio I/O | Hardware Video Encoding | Power | Power Input | Internal Storage | External Storage | Additional I/O |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Raspberry Pi - https://www.raspberrypi.org | ||||||||||||||||||||||
| Raspberry Pi 4 | Broadcom BCM2711 | Quad core Cortex-A72 (ARM v8) 64-bit @ 1.5GHz | 1.5 Ghz | VideoCore VI | LPDDR4-2400 SDRAM | 1 GiB, 2 GiB or 4 GiB | 1 x RJ-45 1 Gbps | 2.4 GHz and 5.0 GHz IEEE 802.11ac | 5.0 | - 2 x USB 3.0 - 2 x USB 2.0 | 3.0 | - | - 2 x micro-HDMI output - 4-pole stereo audio and composite video port | - 2 x micro-HDMI output - 4-pole stereo audio and composite video port | - H.265 (4kp60 decode) - H.264 (1080p60 decode, 1080p30 encode) | DC 5V, 3A | USB-C connector or GPIO header | - | MicroSD card slot | - 40 pin GPIO header - 2-lane MIPI DSI display port - 2-lane MIPI CSI camera port | ||
| ODROID - https://www.hardkernel.com | ||||||||||||||||||||||
| ODROID-XU4 | Samsung Exynos5422 | Cortex™-A15 2Ghz and Cortex™-A7 Octa core (4 + 4) | 2 Ghz and 1.5 Ghz | Mali-T628 MP6 | LPDDR3 | 750 Mhz | 2 GiB | 1 x RJ-45 1 Gbps | (optional) USB IEEE 802.11 ac/b/g/n 1T1R WLAN with Antenna | - | - 2 x USB 3.0 - 1 x USB 2.0 | 3.1/2.0/1.1 | 1.2 Full Profile | 1 x HDMI 1.4a output | 1 x HDMI 1.4a output | VP8 (1080p120 encoding and decoding) | DC 5V, 4A | - | eMMC module socket (eMMC 5.0 Flash Storage (up to 64GByte) or MicroSD Card Slot (up to 128GByte)) | - 30 pin GPIO header- 12 pin GPIO header- Serial console port |
Below, there's a list of links containing most of the information used to compile the list.


POWDER A film review by Mark R. Leeper Copyright 1995 Mark R. Leeper
Capsule: POWDER is the kind of story that could have been pretty sappy, and in fact it is sappy, but only in the final minutes of the film. Until then it is actually a fairly riveting story for the right audience. A teenager with superhuman powers is faced with bigotry in his community. But he changes the lives of people who come in contact with him. Rating: low +2 (-4 to +4)
Sometimes a film just clicks for reasons hard to determine. POWDER should not work well as a film, but it does. This is a story about a self-effacing superman with a pained expression on his face who finds himself in a world that largely does not appreciate him. It initially looks like a self-indulgent film searching for a cult following from a narrow band of sentimentalists. That may even be what it was, but it did just enough that worked for me that I fell into that narrow band. In another ten years I may look at this film and wonder what I saw in it, but for right now it had more than one scene that paid off for me. I would like to think I will always find the subplot with the deputy to be powerful.
Jeremy Reid, inexplicably called "Powder" (played by Sean Patrick Flanery), has not had much of a life. His mother died of a lightning bolt before his birth. The albino fetus salvaged from the dead woman was rejected by the father. The child was raised by his grandparents and lived in a dark cellar for almost all of his life. Powder, it seems, was not entirely human, though what else he is is never clear. He may be a mutation or maybe an implanted alien. But he has an I.Q. that goes beyond measurement, a photographic memory, telepathic and empathic abilities, and voluntary and involuntary powers to affect electromagnetic waves. Due to his upbringing he is introverted and maladjusted. Wherever he goes he is hated and feared by most of his Texas community. Sent to a school for disturbed children, he finds friends in the head of the school (Mary Steenburgen) and an energetic science teacher (Jeff Goldblum).
Actor Sean Patrick Flanery is hidden under an overly obvious makeup job which looks like it was intended to justify the title of the film. Flanery is not a bad actor--some viewers may remember him as TV's teenage Young Indiana Jones. But in POWDER the white make-up lacks contrast and seems to hide all of his facial expression but the most pained looks, which he then uses all too often. Also sprinkled in are some good character actors like Lance Hendriksen as the town sheriff. Hendriksen is one of those familiar actors who never seem to get the appreciation they deserve. Mary Steenburgen is not well-used, but Jeff Goldblum as the enthusiastic science teacher is a treat. Two more actors it is nice to see working are Ray Wise and camp film actress Susan Tyrrell.
The script has some problems. Powder's powers seem to be revealed only as he needs them and we are never sure what powers he has. That is not necessarily bad, though one might question if the writer and director Victor Salva had a clear idea of what he wanted Powder to be. For example, the teenager seems to be involuntarily magnetic in some scenes and not others. Some places the effects are not convincing. Lightning plays a part in the story but never looks realistic. An animal head is also unreal-looking. There are continuity errors witha clock in one scene between Goldblum and Flanery. None of these are really bothersome. What did need more care were the last three or four minutes of the film, which just don't work.
There is a great deal being said about writer/director Victor Salva's background. On this subject I will say just that I can respect and enjoy Wagner's operatic cycle "The Ring of the Nibelungs" without condoning everything that Wagner ever did in his personal life. Salva has had a bad chapter of his life which is now over. His film POWDER rises above some mediocre acting and make-up to have several touching moments in a 1950s-style superman story. For the people in the right mood it gets a low +2 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


|
Copley Motion Library
|
Virtual class which provides multi-tasking. More...
Public Member Functions | |
| Thread (void) | |
| Create a new thread. More... | |
| virtual | ~Thread () |
| Clean up any allocated resources. | |
| const Error * | setPriority (int pri) |
| Set the thread priority. More... | |
| const Error * | start (void) |
| Make this thread eligible to run. More... | |
| const Error * | stop (Timeout to=1000) |
| Stop this thread. More... | |
| virtual void | run (void)=0 |
| When a new thread is started, this function will be called. More... | |
| void | __run (void) |
| This is an internal function which should not be called directly. | |
Static Public Member Functions | |
| static const Error * | sleep (Timeout to) |
| Cause the calling thread to sleep for a specified number of milliseconds. More... | |
| static uint32 | getTimeMS (void) |
| Return the current time in millisecond units. More... | |
Virtual class which provides multi-tasking.
To add a new thread to a program, create a new class that is derived from Thread. The new thread of execution will start when the start() member function is called. This new thread of execution will start with the run() member function and will run concurrently with the rest of the system. When (if) the run method returns, the new thread will be terminated.
| Thread | ( | void | ) |
Create a new thread.
The new thread will not start executing until the start member function of this class is called. The default thread priority will be set to 5.
|
static |
Return the current time in millisecond units.
The value returned may be offset by a consistent, but arbitrary value. This makes it useful for checking relative times, but not useful for absolute time calculations.
|
pure virtual |
When a new thread is started, this function will be called.
All of the thread specific code should be contained in this function. If the run() method ever returns, the thread will be destroyed.
| const Error* setPriority | ( | int | pri | ) |
Set the thread priority.
This function should be called before the thread is started if the default priority (5) is not acceptable.
| pri | The priority for this thread to run at. The range is 0 to 9 where 0 is a very low priority task, and 9 is a critically high priority. |
|
static |
Cause the calling thread to sleep for a specified number of milliseconds.
| to | The time to sleep, in milliseconds. |
| const Error* start | ( | void | ) |
Make this thread eligible to run.
The new thread will be created if possible and identified to the operating system as eligible to run. When the thread actually starts, the run() method will be called. Note that depending on the priority of the thread and of the calling task, the run() function may or may not be called before start() returns.
| const Error* stop | ( | Timeout | to = 1000 | ) |
Stop this thread.
The thread will have exited by the time this function returns. If the calling thread is the thread being stopped, then this function will not return.
| to | The amount of time to wait for the thread to stop before returning an error (default 1 second). |


Package listener
Class GameListener
- java.lang.Object
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- bwapi.DefaultBWListener
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- listener.GameListener
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- All Implemented Interfaces:
bwapi.BWEventListener
- Direct Known Subclasses:
MLTrainingListener
,VikingBotListener
public abstract class GameListener extends bwapi.DefaultBWListener
Provides the bare minimum to define a BWListener.
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Field Summary
Fields Modifier and Type Field Description bwapi.BWClient
bwClient
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Constructor Summary
Constructors Constructor Description GameListener(ListenerType type)
Sets the ListenerType of the GameListener, creates a new instance of a BWClient, and starts the game.
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description ListenerType
getType()
Get's the ListenerType of the GameListener.abstract void
onEnd(boolean isWinner)
The BWListener's onEnd method to override with anything that should execute at the end of the game.abstract void
onFrame()
The BWListener's onFrame method to override with anything that should execute every time there's a new frame.abstract void
onStart()
The BWListener's onStart method to override with anything that should execute at the start of the game.
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Constructor Detail
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GameListener
public GameListener(ListenerType type)
Sets the ListenerType of the GameListener, creates a new instance of a BWClient, and starts the game.- Parameters:
type
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Method Detail
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onStart
public abstract void onStart()
The BWListener's onStart method to override with anything that should execute at the start of the game.- Specified by:
onStart
in interfacebwapi.BWEventListener
- Overrides:
onStart
in classbwapi.DefaultBWListener
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onEnd
public abstract void onEnd(boolean isWinner)
The BWListener's onEnd method to override with anything that should execute at the end of the game.- Specified by:
onEnd
in interfacebwapi.BWEventListener
- Overrides:
onEnd
in classbwapi.DefaultBWListener
- Parameters:
isWinner
- is true if the bot won the game.
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onFrame
public abstract void onFrame()
The BWListener's onFrame method to override with anything that should execute every time there's a new frame.- Specified by:
onFrame
in interfacebwapi.BWEventListener
- Overrides:
onFrame
in classbwapi.DefaultBWListener
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getType
public ListenerType getType()
Get's the ListenerType of the GameListener.- Returns:
- The GameListener's ListenerType.
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Exploration 2.2.6.
Find an example of a vector which is not in the column space of the matrix
\begin{equation*}
C = \begin{pmatrix} 2 & 1 \\ 1 & 1 \end{pmatrix},
\end{equation*}
or explain why that is not possible. Here's a Sage cell if it's helpful:


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[site under construction]
handcrafted balloon bouquets from balloonsinc.co.uk
you can order your balloons
you can get in touch