- Buttons
- Button Colors
- Button Groups
- Button Sizes
- Forms
- Checkboxes
- Form Groups
- Inputs
- Radio Buttons
- Select Menu
- Text Fields
- Global
- Alignment
- Animations
- Clearfix
- Colors
- Fonts
- Scrollbars
- Truncation
- Grids
- Images
- Icons
- Loading Icons
- Logos
- Labels
- Lists
- Ordered Lists
- Unordered Lists
- Pills
- Tables
- Data Counter
- Data Tables
- Data Table List
- Pricing Tables
- Text
- Blockquotes
- Headings
- HR
- Inline Elements
- Links
- Preformatted Text
- Time
- Wells
Buttons
Button styles can be applied to either <button>
or
:
| To do this | Use this |
|---|---|
| Perform an action, such as submit a form or trigger a JS event | <button> |
| Link to another page |  |
Button
<button type="button default">Button</button>
Button Colors
Button colors correspond to status colors. Use good judgement when using a colored button. Is it of importance to call attention to? We don't want the entire interface to be noisy and distract the user from the information and task at hand.
| Button | Class | Description |
|---|---|---|
button |
This this is the go to button style | |
button primary-bg |
Use this button as the primary call to action | |
button secondary-bg |
Use this as a secondary action button | |
button alert-bg |
Use this for alerts and critical events | |
button warning-bg |
Use this for warnings and major events | |
button yield-bg |
Use this for yields and caution | |
button success-bg |
Use this for confirmations and successful events | |
button inverse-bg |
Use this for inversion coersion | |
button disabled |
This button is deactivated |
<button class="button primary-bg">Signup now</button>
<button class="button secondary-bg">Cancel</button>
<button class="button alert-bg">Delete</button>
<button class="button warning-bg">Set override</button>
<button class="button yield-bg">Throttle</button>
<button class="button success-bg">Success</button>
<button class="button inverse-bg">Clear</button>
<button class="button disabled">Activate</button>
Invisible buttons
There are also invisible buttons. Use these when you want to keep a button in view but want to deemphasize its importance.
| Button | Class | Description |
|---|---|---|
button invisible |
Use this to deemphasize its' importance | |
button invisible alert-bg |
Deemphasize its importance, but warn of its' danger |
<button class="button invisible">Invisible</button>
<button class="button invisible alert-bg">Invisible</button>
Button Groups
atoms/text/_text.scss
last updated 9/11/14 – Needs to be implemented
To make button groups, simply wrap them in a .button-group

.

<button class="button">Apples</button>
<button class="button">Oranges</button>
<button class="button">Watermelons</button>

Button Sizes
There are three button sizes: Default, small, and icon buttons. Simply apply the modifier class for the desired size.
| Button | Modifier Class |
|---|---|
.button |
|
.button icon |
|
.button small |
|
.button small icon |
<button class="button">Button</button>
<button class="button small">Button</button>
<button class="button icon"></button>
<button class="button small icon"></button>
Forms
Checkboxes
Use <form>
to wrap an <input>
and make sure the id
and for
match.
<form>
<input type="checkbox" id="checkbox1" name="checkbox1" />
My sick-nasty checkbox
</form>
Form Groups
atoms/text/_text.scss
last updated 9/11/14 – A cleaner clearfix solution should be implemented
Remember to place your form elements inside <form>
to have them auto-styled, then place your form elements into a group so they become buds. Make sure you add

after a form group to clear the float.

<form>
<input type="text" name="supBro" placeholder="Sup bro?">
</form>
<form>

<select>
<option>Just chilliiiin'</option>
<option>Word up</option>
</select>

</form>
<form>

<select>
<option>Just chilliiiin'</option>
<option>Word up</option>
</select>

</form>

Add .left
or .right
to align the form group on either side.

<form>

<select>
<option value='' disabled selected >5 Rappers</option>
<option value='0'>Immortal Technique</option>
<option value='1'>Black Thought</option>
<option value='2'>Big K.R.I.T.</option>
<option value='3'>Black Milk</option>
<option value='4'>Jeru Tha Damaja</option>
</select>

</form>
<form>

<select>
<option value='' disabled selected >5 Things</option>
<option value='0'>Vegetables</option>
<option value='1'>Congregations</option>
<option value='1'>Waiting Rooms</option>
<option value='1'>Terra Cotta Pots</option>
<option value='1'>El Caminos</option>
</select>

</form>
<form>
<input type="text" name="placeholder" placeholder="Type something">
</form>

Inputs
Inputs are automatically styled, no classes required.
<form>
<input type="text" name="inputMe" placeholder="Input me">
</form>
Radio Buttons
Use <form>
to wrap your <input>
. Make sure id
and for
match. To link radio buttons together in a toggle set, give them all the same name
.
<form>
<input type="radio" id="radio1" name="radio-buttons" />
My sick-nasty radio button

<input type="radio" id="radio2" name="radio-buttons" />
My sick-sick-nasty radio button
</form>
Select Menu
atoms/text/_text.scss
last updated 9/11/14 – Need to fix .expand
Below snippet is for a simple dropdown.
<form>

<select>
<option>Rabbit-out-of-hat-trick</option>
<option>I-know-your-card-trick</option>
<option>Get-sawed-in-half-trick</option>
<option>Something-big-disappears-trick</option>
<option>My-thumb-in-two-parts-trick</option>
</select>

</form>
<form>

Top 5 magic tricks

<select>
<option>Rabbit-out-of-hat-trick</option>
<option>I-know-your-card-trick</option>
<option>Get-sawed-in-half-trick</option>
<option>Something-big-disappears-trick</option>
<option>My-thumb-in-two-parts-trick</option>
</select>

<select>
<option>Rabbit-out-of-hat-trick</option>
<option>I-know-your-card-trick</option>
<option>Get-sawed-in-half-trick</option>
<option>Something-big-disappears-trick</option>
<option>My-thumb-in-two-parts-trick</option>
</select>

Top 5 magic tricks

Top 5 magic tricks

<select>
<option>Rabbit-out-of-hat-trick</option>
<option>I-know-your-card-trick</option>
<option>Get-sawed-in-half-trick</option>
<option>Something-big-disappears-trick</option>
<option>My-thumb-in-two-parts-trick</option>
</select>

</form>
Text Fields
<textarea placeholder="My awesome text"></textarea>
Global
Global helper classes can be applied to almost any element.
Alignment
Here's some helper classes for alignment:
| Class | Alignment |
|---|---|
.left |
Floats element to the left |
.right |
Floats element to the right |
.text-left |
Aligns content within element to the left |
.text-center |
...to center |
.text-right |
...to the right |
<button class="button left">Left</button>
<button class="button right">Right</button>

Lorem ipsum dolor sit amet
Consectetur adipisicing elit
Accusantium veritatis voluptas

Lorem ipsum dolor sit amet

Consectetur adipisicing elit

Accusantium veritatis voluptas

Animations
Add .fa-spin
to any class to spin it (one of Doug-3's favs).

Animations will be extended in the near future to support interface transitions
Clearfix
atoms/global/_clearfix.scss
updated 8/31/14 – Better implementation for clearfix coming soon
Use clearfix to clear floats by adding .clearfix
to an empty block element.

Colors
atoms/global/_colors.scss
last updated 8/31/14 – need to include chart and heatmap colors, update swatch class info
Each swatch comes with four pieces of info. Here's an example of how to use'em, using the primary color (PubMatic blue) as an example:
| What | When |
|---|---|
Hex such as #0196D8 |
when you need an actual web value |
Variable such as $primary-color |
when you need to call this color while writing SASS |
Class such as .primary |
applies the color to text |
Class such as .primary-bg |
applies the color to the background of an element |
To use our Sass variables, import the _colors partial into your own sass file:
@import "tophat/components/global/colors";
#0196D8
$primary-color
.primary
.primary-bg
#E7E7E7
$secondary-color
.secondary
.secondary-bg
#F04124
$alert-color
.alert
.alert-bg
#F08A24
$warning-color
.warning
.warning-bg
#FFC20F
$yield-color
.yield
.yield-bg
#43AC6A
$success-color
.success
.success-bg
#EEFAFF
$info-color
.info
.info-bg
#FDF0ED
$alert-color-light
.alert-color-light
.alert-bg-light
#FEF6ED
$warning-color-light
.warning-color-light
.warning-bg-light
#FFFAEB
$yield-color-light
.yield-color-light
.yield-bg-light
#F0FAF4
$success-color-light
.success-color-light
.success-bg-light
Fonts
atoms/global/_fonts.scss
last updated 8/31/14
The official brand font is Helvetica Neue LT, which works well in print. However, for on screen and in our app, we use Open Sans as the system font for it's more humanistic feel. Designed specifically for screens and interfaces, it's open letterforms allow for better readability. We use Lato for numeric values for it's high contrast and fresh, modern and timeless feel. This gives our data a distinct and strong voice.
There are two ways to use call our typefaces: CSS classes and Sass variables.
| Type | Name |
|---|---|
| CSS class | .primary-font , .data-font |
| Sass variable | $primary-font , $data-font |
Every ad. Every sales channel. Every screen. One platform.
845,349.00

Every ad. Every sales channel. Every screen. One platform.

845,349.00

For type scale and text styling, see text.
Scrollbars
atoms/global/_scrollbars.scss
last updated: 8/31/14
To add Pubalicious scrollbars, simply define .scroll
on a container

. The container should have a fixed dimension, and overflow set to auto
or scroll
for that axis. For instance, set a fixed height and overflow-y
to scroll
or auto
. Lastly, place an object in the container that is larger.

Truncation
atoms/global/_truncation.scss
last updated 10/03/14 – need examples TODO.
Truncation containers, applicable to table cell content.
Grids
atoms/grids/_grids.scss
last updated 8/31/14 –
We use Susy for flexible layout control. Susy allows us to mix and match grids, use grids in certain places or have layout control without grids at all. It's also a Compass extension, meaning it doesn't create "div soup"; instead, everything is separated from the HTML markup in a Sass file.
You can see in the example below how clean Susy allows us to keep our HTML markup. To learn more, these tutorials will get you started. Susy
Box1
Box2
Box3
Box4

Box1

Box2

Box3

Box4

Images
Icons
atoms/images/_icons.scss
last updated 8/31/14 – will need a better way to catalog our icons
Icons show with a prefix of th-
come from our custom IcoMoon generated icon font. These were picked to fulfill specific use cases not covered by Font Awesome.
Font Awesome library is integrated and available. See the last example: change .fa-gear
to define a new icon. See Font Awesome for the complete library.
| Icon | Class | Unicode |
|---|---|---|
| th-docker | \e61e | |
| th-pulse | \f085 | |
| th-pencil | \e61f | |
| th-books | \e61a | |
| th-copy | \e614 | |
| th-user | \e619 | |
| th-zoom-in | \e611 | |
| th-bars | \e618 | |
| th-fire | \e604 | |
| th-trash | \e60e | |
| th-happy | \e605 | |
| th-wondering | \e606 | |
| th-create-report | \e60a | |
| th-open | \e60f | |
| th-sale | \e612 | |
| th-spaceinvader | \e610 | |
| th-download | \e60b | |
| th-calendar | \f073 | |
| th-folder | \f07b | |
| th-folder-open | \f07c | |
| th-folder-o | \f114 | |
| th-folder-open-o | \f115 | |
| th-export | \e607 | |
| th-share | \e615 | |
| th-tag | \e613 | |
| th-lifebuoy | \e608 | |
| th-earth | \e61b | |
| th-cart | \e61c | |
| th-line-chart | \e600 | |
| th-pie-chart | \e601 | |
| th-bar-chart | \e602 | |
| th-area-chart | \e603 | |
| th-logout | \e60c | |
| th-login | \e616 | |
| th-close | \e60d | |
| th-info | \e617 | |
| th-add-to-list | \e609 | |
| th-disk | \e61d | |
| fa-gear | \f013 |

Loading Icons
atoms/images/_loading-icon.scss
last updated 8/31/14 –
Default loading spinner:
Hang tight! We're crunching your data...

Hang tight! We're crunching your data...

Logos
atoms/images/_logo.scss
last updated 8/31/14 –
For logos, we use SVG images with a fallback to PNG. Ensure that your SVG and PNG are the same dimensions.

Resizing Logos
Since SVG files are vector, you can resize them without any degradation. For production, ensure you are also creating same-sized fallback PNGs.

Labels
atoms/labels/_labels.scss
last updated 8/31/14 –
Use labels as a way to call attention to a short blurb.
| Label | Class | Description |
|---|---|---|
| Primary | primary label |
Main call-to-action label |
| Secondary | secondary label |
Minor/trivial notification, such as fine print |
| Info | info label |
A message that provides more information |
| Alert | alert label |
A critical blocker, such as form validation |
| Warning | warning label |
Proceed, but please make sure you are informed |
| Yield | yield label |
This will impact efficiency/effectiveness |
| Success | success label |
Everything is good to go |
Revenue shown as dollars
Learn more about our powerful omnibar
You are about to delete all your custom reports. This action cannot be undone.
Lowering your eCPM to $0.50 will reduce your revenue by ~ 84%, or ~ -$1,923,022 over the next 30 days.
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Download complete
Reggie Noble just shared this with you

Revenue shown as dollars

 Learn more about our powerful omnibar

You are about to delete all your custom reports. This action cannot be undone.

Lowering your eCPM to $0.50 will reduce your revenue by ~ 84%, or ~ -$1,923,022 over the next 30 days.

You haven't named this report yet. Would you like to name it before sharing?

Download complete
Lists
Ordered Lists
atoms/lists/_ordered.scss
last updated 8/31/14 – Broken - list doesn't show order numbers
- Item 1
- Item 2
- Item 3
- Item 4
- Item 5

Item 1

Item 2

Item 3

Item 4

Item 5

Unordered Lists
atoms/lists/_unordered.scss
last updated 8/31/14 –
Here's a hum-dum list:
- Item 1
- Item 2
- Item 3

Item 1

Item 2

Item 3

Multi-select list
Configure your multi-select list in 3 easy steps:
| Step | Use |
|---|---|
| Wrap the list in a div wrapper | .multi-select-list |
| Add the PubMatic scrollbar | .scroll |
| Configure # of default list items to show | .show-5 , .show-10 , .show-15 or .show-20 |
- Item 1
- Item 2
- Item 3
- Item 4
- Item 5
- Item 6
- Item 7
- Item 8
- Item 9
- Item 10

 Item 1

 Item 2

 Item 3

 Item 4

 Item 5

 Item 6

 Item 7

 Item 8

 Item 9

 Item 10

Pills
atoms/pills/_pills.scss
last updated 8/31/14 – need to work on hover state to be more obvious
NLP "invisible" pills for text highlighting.

command
dimension
hidden dimension
metric
date

slice
Site
DSP
Country
Revenue
Blocked Bids
Last 30d

Tables
Data Counter
atoms/tables/_data-counter.scss
last updated 8/31/14 –
When you need a headline counter, this is the jam to use. Add .alert
to a
to make it red for negative values.
| Remaining Dimensions |
-2 |
| Remaining Dimensions |
3 |

Remaining
Dimensions
-2

Remaining
Dimensions
3

Data Tables
atoms/tables/_data-table.scss
last updated 8/31/14 –
Tables automagically inherit base styles, and assume 100% width of the container they are placed in. Use .primary-stripe
or .secondary-stripe
for zebra striping options.
Primary stripes
| Column 1 | Column 2 |
|---|---|
| Cell 1 | Cell 2 |
| Cell 1 | Cell 2 |
| Cell 1 | Cell 2 |

Column 1
Column 2

Cell 1
Cell 2

Cell 1
Cell 2

Cell 1
Cell 2

Secondary stripes
With .secondary-stripe
:
| Column 1 |
|---|
| Cell 1 |
| Cell 1 |
| Cell 1 |

Column 1

Cell 1

Cell 1

Cell 1

Row hover
If you want selection hovers, add .hover
:
| Column 1 |
|---|
| Cell 1 |
| Cell 1 |
| Cell 1 |

Column 1

Cell 1

Cell 1

Cell 1

Primary selection
Show a primary selection with .selected
(goes great with .primary-stripe
):
| Column 1 |
|---|
| Cell 1 |
| Cell 1 |
| Cell 1 |

Column 1

Cell 1

Cell 1

Cell 1

Secondary selection
Show a secondary selection with .active
(looks amazing with .secondary-stripe
):
| Column 1 |
|---|
| Cell 1 |
| Cell 1 |
| Cell 1 |

Column 1

Cell 1

Cell 1

Cell 1

Table under header
If you have a table that will be directly under a header or

, add .first
to the table to remove the table's top border.
One Thing
| One Table |
|---|
| One Item |

One Thing

One Table

One Item

Empty tables
last updated: 8/31/14 – Not working
When tables are devoid of data (such as offline connection, zero state), they can show this through .empty
.
| Dimensions | None selected |
|---|

Dimensions

None selected

Top 10 Tables
last updated 8/31/14 – move this to separate partial _data-table-top-10.scss
Tables for a Top 10 list have special styling to further emphasize the Top 3. It's got bigger numbers using Lato, a focused highlight on the Top 3 with a hover highlight for the full list. Just tell it, hey man, you're .top-10
. This currently only supports 3 columns in this specific format. More flexible configurations coming soon.
| Rank | Buyer | Revenue |
|---|---|---|
| 1. | ESPN | $257 |
| 2. | AOL | $42 |
| 3. | ADS | $31 |
| 4. | Netmining | $21 |
| 5. | Allstate Life Insurance | $19 |
| 6. | Geico | $15 |
| 7. | Conversant | $15 |
| 8. | Amnet | $13 |
| 9. | Accuen | $10 |
| 10. | Xaxis | $10 |

Rank
Buyer
Revenue

1.
ESPN
$257

2.
AOL
$42

3.
ADS
$31

4.
Netmining
$21

5.
Allstate Life Insurance
$19

6.
Geico
$15

7.
Conversant
$15

8.
Amnet
$13

9.
Accuen
$10

10.
Xaxis
$10

Drag & Drops
If you want to do dynamic drag-and-drops from a data-table, add .drag-and-drop-move
to the

being dragged.
| Draaaaaagg me |

Draaaaaagg me

Data Table List
atoms/tables/_data-table-list.scss
last updated 8/31/14 –
Use a data table list when you need lists, and not tabular data. When showing large amounts of data, structure your data, and prioritize what you want the user to focus on first. Here, less important information (Date Saved) is de-emphasized through smaller header font size and grey text.
On a list, we can also embed buttons on hover. Simply add a button to a cell, and the hover with automagically occur.
Your saved reports |
Date Saved | |
|---|---|---|
| Nike Revenue Report | August 26 @ 12:46am PST | |
| Revenue by Advertiser | Revenue, impressions and eCPM shown by Advertiser | |
| Revenue by DSP | Revenue, impressions and eCPM shown by DSP |

Your saved reports

Date Saved

Nike Revenue Report
August 26 @ 12:46am PST

<button class="button small alert-bg invisible right">
 Delete
</button>

Revenue by Advertiser

Revenue, impressions and eCPM shown by Advertiser

<button class="button small alert-bg invisible right">
 Delete
</button>

Revenue by DSP
Revenue, impressions and eCPM shown by DSP

<button class="button small primary-bg invisible right">
 Save
</button>

Pricing Tables
These are Pricing Tables.
Text
atoms/text/_text.scss
last updated 8/31/14 –
Base text
For on screen text, we use Open Sans. This is the default body font. See more on fonts.
In vel sem sit amet tortor lobortis fermentum nec in turpis.
Curabitur nec erat scelerisque, luctus mi eleifend, venenatis leo.

In vel sem sit amet tortor lobortis fermentum nec in turpis.

Curabitur nec erat scelerisque, luctus mi eleifend, venenatis leo.

Type scale
We use a major second scale for our type (1.125), with a 16px baseline text size.
| em | px | tag | render |
|---|---|---|---|
| 1.602em | 26px | h1 | Every ad. Every sales channel. Every screen. One platform. |
| 1.424em | 23px | h2 | Every ad. Every sales channel. Every screen. One platform. |
| 1.266em | 20px | h3 | Every ad. Every sales channel. Every screen. One platform. |
| 1.125em | 18px | h4 | Every ad. Every sales channel. Every screen. One platform. |
| 1em | 16px | p | Every ad. Every sales channel. Every screen. One platform. |
| 0.889em | 14px | small | Every ad. Every sales channel. Every screen. One platform. |
Data values
For numbers, we use Lato for its' compactness and strong contrast. It works better at larger sizes. This is the default data font. See more on fonts.
845,349.00
$1,492,944
650k
4.28
394,949,140

845,349.00

$1,492,944

650k

4.28

394,949,140

Going flat
Spacing before and after headers are built in, but just in case you need things to get compact, add .flat
to your header to remove the extra spacing:
My awesome header
Hello world!
My awesome flat header
Hello flat world!

My awesome header

Hello world!

My awesome flat header

Hello flat world!

Blockquotes
These are Blockquotes.
Headings
These are Headings.
HR
These are HR.
Inline Elements
These are Inline Elements.
Links
atoms/text/_text.scss
last updated 9/11/14 –
I am an awesome link
Preformatted Text
These are Preformatted Text.
Time
These are Time.
Wells
atoms/wells/_wells.scss
last updated 9/11/14 –
I am a well into which swells fell at the reckon of the bell, what a story to tell! Oh well.

I am a well into which swells fell at the reckon of the bell, what a story to tell! Oh well.


West Ham must improve at set pieces, says Pellegrini
West Ham United must defend set pieces better after conceding a number of goals in a winless run stretching back to September, manager Manuel Pellegrini said on Thursday.
REUTERS: West Ham United must defend set pieces better after conceding a number of goals in a winless run stretching back to September, manager Manuel Pellegrini said on Thursday.
West Ham, who were fifth in September, have failed to win their last five matches - which included three defeats - to leave them 13th in the standings.
Pellegrini's side have not kept a clean sheet since a 2-0 win over Manchester United, with first choice goalkeeper Lukasz Fabianski not expected to return from a hip muscle injury until late December.
"Everyone must do better, including the manager and the players," Pellegrini told reporters ahead of Saturday's trip to Burnley.
"As a team I think that we need to improve, especially at set pieces. They have been decisive - three goals from Newcastle, two from Crystal Palace.
"I think that Newcastle scored three goals from set pieces, two from a counter-attack from set pieces. They had chances on the counter-attack because for different reasons we didn't keep a player back."
Pellegrini, who won the Premier League title in 2013-14 with Manchester City, also said West Ham had ambitions of playing in Europe and their priority was a top-six finish.
"The target for West Ham years ago was not to be relegated," he added. "I didn't come here for that. I think that we have the players to achieve top six and I think that if you fight you can win every game. We know how to do it.
"I always try to be optimistic, I always try to set my targets as high as I can. We must fight to be in the upper part of the table."
Burnley, who are 14th, can leapfrog West Ham with a win on Saturday and Pellegrini said he was wary of their physical threat in the air.
"I think Burnley will always be a difficult team at home," the Chilean said. "They have top players and make a lot of crosses, everyone knows that. If we win the game it is because we must try to play better than them.
"They play a lot of crosses, fighting for the second ball, and it's a style that in recent years has been very successful."
(Reporting by Rohith Nair in Bengaluru; Editing by Toby Davis)


Info
Key
Functionality
"n"
add new node
"e"
add edge between two selected nodes
"Delete"
delete element
"l"
run layout
fCoSE
CoSE
Cola
Random
sample1
sample2
sample3
sample4
sample5
sample6
sample7
sample1.graphml
Graph Properties
Nodes:
Edges:
Time:
-
Edge crosses:
Node overlaps:
Avg. edge length:
Total area:
Layout Options
Quality
draft
default
proof
Randomize
Pack Components


A health coach is an expert in the process of health behavior change. Health coaches work in partnership with their clients to help them set goals and take action to achieve and sustain health-supporting behaviors.
Burnout and lack of energy, poor eating habits, making health fit in a busy schedule, mental performance, weight gain or inability to lose weight, sinus issues, digestion, stress management, autoimmune disease, diabetes and other chronic illness, just to name a few.
After you have had your consultation, and you’ve decided that coaching is for you, you will fill out a complete health assessment. This assessment will tell you and me, your coach, where you are right now. In our first session, we fully explore your vision of you and what health goals you are looking to achieve. Each session after that, you will choose a focus and we will explore where you are, where you want to be, and figure out how to move forward with achievable goals.
It varies, but I typically encourage clients to commit to a minimum of 1 months where we would meet weekly, and sessions usually last 50 minutes. Research shows that six months is necessary to create lasting behavior change. This time frame allows my clients to reach and sustain goals through small steps and repetition.
Prices from $100 - $124 a session depending on your program. If you sign up for 3 or 6 month program, your initial consultation is free.
I offer a variety of services and health products including:
Nutritionists give you the list of foods to eat or not to eat. Most people already know this. Therapists do not provide an end in sight, and there is no linking of mood and diet. Doctors do not work on the root cause of the symptom, but instead decide which pill to give or surgery to undergo. Coaching addresses the ROOT CAUSE of the issue. Coach and client work together to identify the change that needs to be made, create a vision for what is possible, co-create a game plan to make it happen and provides the accountability and support to stick with it.


The angular-datatables
uses deep search for changes on every $digest
cycle.
Meaning every time any Angular event happens (ng-clicks, etc.), the entire array, each of it's children, it's children's children, and so forth gets compared to a cached copy.
There is an attribute to add so that if the directive has a truthy value for dt-disable-deep-watchers
at compile time then it will use $watchCollection(...)
instead.
This would allow users to prevent big datasets from thrashing Angular's $digest
cycle at their own discretion


The Wedding Singer (1998)
Director: Frank Coraci Cast: Adam Sandler, Drew Barrymore, Christine Taylor, Matthew Glave, Allen Covert, Angela Featherstone, Steve Buscemi Rated PG-13: Language, adult themes
by Nathaniel R. Atcheson<EMAIL_ADDRESS>I think that any competent member of the human race who's ever seen a movie--any movie--could probably predict just about every turn in The Wedding Singer. Even though I try very hard to not predict films as I'm watching them (especially not romantic comedies), the plot of this particular film just advanced before me seconds, and sometimes minutes, before I actually saw it happen on screen. But I don't care. Not even a little. My reasons for this are simple: 1) Adam Sandler is great. 2) Drew Barrymore is great. 3) The movie is so funny. There are parts that left me gasping for air because I was laughing so hard. I haven't laughed this hard in a movie since Austin Powers.
Sandler plays Robby Hart, a wedding singer who once had dreams of being in a rock band and writing his own music. In the opening scenes, he seems like a happy-go-lucky wedding singer, at least partially enjoying his profession and doing a rather good job of talking down a really drunk individual (Steve Buscemi) who decides that his brother's wedding is a good place to tell the whole world that his life, up to that point, was utter pointlessness.
A week later, at his own wedding, he is left standing at the altar by his ex-fiancée, Linda (Angela Featherstone). With his life in complete disarray, he meets Julia (Barrymore), a waitress. She is engaged to Glenn (Matthew Glave), and is to marry him in about three months. Julia and Robby become good friends when she enlists him to help with the wedding plans. Soon (and predictably) it becomes pretty clear that Glenn is a jerk, and that Robby and Julia really love each other.
Oh sure, it's trite. And if anyone making this film expected us to, like, feel suspense or something while watching The Wedding Singer, then they truly underestimated their audience. What makes the story bearable, aside from the terrific costumes and 80s music, are the performances. Barrymore is simply adorable here (I've never seen her look so close to the way she did in ET). Not only is she pleasant to look at, but her acting job here really is a good one--and it doesn't hurt that the character is likable and adequately well-written. And the Jerk, played in full-force by Graves, is just as despicable as any villain in any romantic comedy I've ever seen.
Naturally, the true star here is Sandler. I think the guy is flat-out hilarious. He can say something that just isn't funny, and his delivery makes me laugh. His comedic performance here equals that of Happy Gilmore, but in this film he goes much further and proves to me that he can, indeed, hold his own as a leading man in a romantic comedy. Whereas his roles in his previous films kind of had Sandler playing Sandler, The Wedding Singer gives him a character that, for the first time, he actually has to fit into. As far as I'm concerned he succeeded, and this film is testimony that he does, in fact, have some range in his talents.
And the movie is just so funny. Perhaps the best moment is when he sings a song for Julia that he claims is a little uneven because he began writing it while in a good mood and finished it after his fiancée abandoned him. This is the part that literally had me groping for a breath of air. And while the film, like all romantic comedies, takes a hiatus from laughs towards the end because the plot has to finish up, there are more than enough truly hilarious moments in the first hour that make up for any slumps in progress during the second half.
My formal complaints for The Wedding Singer aren't very important. The film is predicable, but who cares? The characters are extremely likable, the movie is ridiculously funny, and the experience is simply enjoyable. In addition to this, I can't imagine anyone seeing the preview and not wanting to see the film. In that order, I conclude that it is pointless for me to even have written this review. I just want everyone to know that I laughed. A lot.
>From 0-10: 7 Grade: B
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


Helen Mirren Responds To People Thinking She’s Keanu Reeves’ Girlfriend
by Emma RosemurgeyEarlier this week, the internet went into a catastrophic meltdown over the news Keanu Reeves is dating artist and philanthropist Alexandra Grant.
And while a great deal of the responses were of overwhelming happiness that Keanu Reeves has found love once again, an alarming number of people seemed completely fixated on the fact the actor is dating someone who is nearly the same age as him; a sight which is increasingly rare on the red carpets of Hollywood.
As well as obsessing over Alexandra’s age (she’s 46, by the way, which is still almost 10 years Keanu’s junior), people were quick to compare her appearance to that of 74-year-old actress Helen Mirren.
On seeing the artist’s natural silver locks and facial features, some people of the internet were convinced Keanu must be dating Helen on first glance, despite the fact the actor has been happily married to Taylor Hackford since 1997. But, you know, never let the facts get in the way of a good social media post, hey?
Anyway, the internet rumours have even made their way back to Mirren, who has had her say on the social media outcry, and she’s responded in the most bloody lovely way.
While making her way along the red carpet at the premiere of her latest film, The Good Liar, Entertainment Tonight asked Helen what she thought about the mix up.
‘I saw that,’ Helen told the journalist. ‘That was very flattering on me, you know, because she’s obviously lovely.’
The RED star continued:
I do know Keanu very well. He did a film with my husband and he is just the most adorable, lovely person.

Keanu has generally avoided public displays of affection during his impressive 35-year career, which is why the internet was so overwhelmed when the actor stepped out onto the red carpet at the LACMA Art + Film Gala in Los Angeles, holding hands with Alexandra.
The pair first worked together back in 2011, when Alexandra illustrated Keanu’s book, Ode to Happiness. They teamed up again for The Matrix star’s 2016 book, Shadows, with Alexandra again on illustrating duties.
They then went on to found X Artists’ Books, which focuses on publishing ‘thoughtful, high-quality, artist-centered books that fit within and between genres’.
Comments about ages and appearances aside, the pair clearly have a lot in common and hey, they do look super happy together.
Emma Rosemurgey is an NCTJ trained Journalist who started her career by producing The Royal Rosemurgey newspaper in 2004, which kept her family up to date with the goings on of her sleepy north east village. She graduated from the University of Central Lancashire in Preston and started her career in regional newspapers before joining Tyla (formerly Pretty 52) in 2017, and progressing onto UNILAD in 2019.


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Week-long camp on imparting life skills to youth begins
by Special CorrespondentA week-long camp to impart life skills to youth to help them face the challenges of life began at St Aloysius College on Saturday.
It is being organised jointly by Nehru Yuva Kendra, Mangaluru, under the Union Ministry of Sports and Youth Affairs and Deen Dayal Upadyaya Kaushal Kendra at the college with the Centre for Integrated Learning as the resource group.
Inaugurating the camp, K.V. Malini, Principal, Canara First Grade College, said soft skills are acquired by participating in extra-curricular activities. The academics provide technical skills, she said. The combination of the two helps in developing the life skills that are pivotal to one’s overall growth, she said.
Praveen Martis, principal of the college, said with the advent of technology and accessibility to gadgets, social equations have changed, and family values are getting eroded. He urged the youth to imbibe good values.
Raghuveer Souterpet, the District Youth Coordinator of Nehru Yuva Kendra, spoke on the activities planned for the camp. Several students from various schools and colleges are participating in the camp.


enum class StringObfuscatorMode
Modes of string obfuscation.
Replace matching strings by a fixed string of the same size.
Replace already obfuscated strings by a fixed string of unspecified size.


This is a GUI (graphical user interface) that allows you to customize the size, curve, stroke, and color of a grid of six squares. You can customize this grid to create a canvas you like, and then press the down arrow to download an .svg version of the canvas.
*To hide this description, deselct "showDescription" check box.


Nadal hails Spain's 'unforgettable' Davis Cup win
by Dejan KalinicRafael Nadal described Spain's Davis Cup success as "unforgettable" after beating Canada in the final in Madrid on Sunday.
Nadal overcame Denis Shapovalov 6-3, 7-6 (9-7) after Roberto Bautista Agut had beaten Felix Auger-Aliassime to secure Spain's sixth Davis Cup title.
World No. 1 Nadal was delighted with the success, saying it was a victory he would never forget.
"When you finally win the title after all the things that we went through this week, and playing at home, it is something difficult to describe," he said, via the Davis Cup website.
"It's an amazing feeling, and especially to share this great moment with all the people that supported us during the whole week is just unforgettable, for all the fans.
"And to share this victory too with the rest of the team, our six — and there is a much bigger team behind the scenes. We can't thank all of them enough.
"It's been an unforgettable week for all of us, without a doubt, so I'm super happy. And, honestly, it's one of these weeks that we'll never forget."
Bautista Agut made a gutsy return to the team just days after the death of his father.
The 31-year-old said he initially had no intention of playing as he hailed the efforts of his teammates.
"It was very difficult. I was speaking with [Spain captain] Sergi [Bruguera] about the situation, and I took the decision to go home on Thursday morning, and I was back [Saturday] afternoon to support the team," Bautista Agut said.
"I drove here from Castellon and I didn't think about playing. I came to support the team with all my heart, but once we qualified for the final, I started to feel like playing.
"I had the opportunity to play because all the team and all the players and the rest of the team did an unbelievable effort since the first day. And, well, it was an amazing feeling on the court."


cytopy.flow.clustering¶
Classes
|
Parent class for Clustering. |
|
The Explorer class is used to visualise the results of a clustering analysis and explore the results in contrast to patient meta-data. |
|
Sample data from all (or some) samples in an FCS Experiment and perform clustering on the concatenated dataset. |
|
Perform meta-clustering; this is when, given a list of samples that have already been clustered, find groupings (cluster of the clusters) that describe the commonality between individual clustering. |
|
Perform clustering on a single fcs file group. |
Functions
|
Given a dictionary, filter the contents and return a new dictionary containing the given keys |
|
Lookup a value in the Meta Data dictionary; this collection contains a description of meta data variables and can |
-
class
cytopy.flow.clustering.main.
Clustering
(clustering_definition: cytopy.data.fcs.ClusteringDefinition)¶ Bases:
object
Parent class for Clustering. Provides access to universal cluster method. Clustering objects generate a new pandas dataframe where either single cell data (or a summary of single cell data) are assigned to clusters, this assignment is stored in a new column named ‘cluster_id’ (or ‘meta_cluster_id’; see MetaClustering)
- Parameters
ce (ClusteringDefinition) – A clustering definition saved to the underlying database and reused across multiple projects
data (Pandas.DataFrame) – a Pandas DataFrame that is populated with clustering information can be passed onto the Explorer class for visualisation
Methods
cluster
()Perform clustering analysis as specified by the ClusteringDefinition.
-
cluster
() → numpy.array¶ Perform clustering analysis as specified by the ClusteringDefinition. Valid methods currently include PhenoGraph and FlowSOM. Returns clustering assignments.
- Returns
Numpy array of clustering assignments.
- Return type
Numpy.array
-
class
cytopy.flow.clustering.main.
Explorer
(data: pandas.core.frame.DataFrame = None, path: str = None)¶ Bases:
object
The Explorer class is used to visualise the results of a clustering analysis and explore the results in contrast to patient meta-data. The user should provide a Pandas DataFrame derived from one of the clustering objects SingleClustering, GlobalClustering, or MetaClustering. Alternatively the user can provide a path name for a previously saved Explorer dataframe. At a minimum this dataframe (which contains single cell data or summary single cell data if MetaClustering) should have a column called ‘pt_id’ which contains the patient ID for each cell.
- Parameters
data (Pandas.DataFrame) – a Pandas DataFrame generated from a Clustering object
path (str, optional) – Path to existing Pandas.DataFrame as a csv file
Methods
dimenionality_reduction
(method, features, …)Performs dimensionality reduction and saves the result to the contained dataframe.
drop_data
(mask)Update contained dataframe according to a given mask.
heatmap
(heatmap_var, features, clustermap, …)Generate a heatmap of marker expression for either clusters or gated populations
info
()Print a description of the DataFrame contained within
load_biology_data
(test_name, summary_method)Load the pathology results of a given test from each patient and populate ‘data’ accordingly.
load_infectious_data
(multi_org)Load the bug data from each patient and populate ‘data’ accordingly.
load_meta
(variable)Load meta data for each patient.
plot_2d
(primary_id, x, y, secondary_id, …)Plots two-dimensions as either a scatter plot or a 2D histogram (defaults to 2D histogram if number of data-points exceeds 1000).
plot_representation
(x_variable, y_variable, …)Present a breakdown of how a variable is represented in relation to a cluster/population/meta cluster
save
(path)Save the contained dataframe to a new csv file
scatter_plot
(label, features, discrete, …)Generate a 2D/3D scatter plot (dimensions depends on the number of components chosen for dimensionality reduction.
-
dimenionality_reduction
(method: str, features: list, n_components: int = 2, overwrite: bool = False, **kwargs) → None¶ Performs dimensionality reduction and saves the result to the contained dataframe. Resulting embeddings are saved to columns named as follows: {method}_{n} where n is an integer in range 0 to n_components
- Parameters
method (str) – method to use for dimensionality reduction; valid methods are ‘tSNE’, ‘UMAP’, ‘PHATE’ or ‘PCA’
features (list) – list of features to use for dimensionality reduction
n_components (int, (default = 2)) – number of components to generate
overwrite (bool, (default = False)) – If True, existing embeddings will be overwritten (default = False)
kwargs – additional keyword arguments to pass to dim reduction algorithm (see flow.dim_reduction)
- Returns
- Return type
None
-
drop_data
(mask: pandas.core.frame.DataFrame) → None¶ Update contained dataframe according to a given mask.
- Parameters
mask (Pandas.DataFrame) – Valid pandas dataframe mask
- Returns
- Return type
None
-
heatmap
(heatmap_var: str, features: list, clustermap: bool = False, mask: pandas.core.frame.DataFrame = None, normalise: bool = True, figsize: tuple = (10, 5), title: str = None, col_cluster: bool = False, **kwargs)¶ Generate a heatmap of marker expression for either clusters or gated populations (indicated with ‘heatmap_var’ argument)
- Parameters
heatmap_var (str) – variable to use, either ‘global clusters’ or ‘gated populations’
features (list) – list of column names to use for generating heatmap
clustermap (bool, (default=False)) – if True, rows (clusters/populations) are grouped by single linkage clustering
mask (Pandas.DataFrame, optional) – a valid Pandas DataFrame mask to subset data prior to plotting (optional)
normalise (bool, (default=True)) – if True, data is normalised prior to plotting (normalised using Sklean’s MinMaxScaler function)
figsize (tuple, (default=(10,5))) – tuple defining figure size passed to matplotlib call
title (str, optional) – figure title
col_cluster (bool, (default=False)) – If True and clustermap is True, columns AND rows are clustered
- Returns
- Return type
matplotlib.axes
-
info
() → None¶ Print a description of the DataFrame contained within
- Returns
- Return type
None
-
load_biology_data
(test_name: str, summary_method: str = 'average')¶ Load the pathology results of a given test from each patient and populate ‘data’ accordingly. As multiple results may exist for one particular test, a summary method should be provided, this should have a value as follows: * average - the average test result is generated and stored * max - the maximum value is stored * min - the minimum value is stored * median - the median test result is generated and stored
- Parameters
test_name (str) – Name of test to load
summary_method (str, (Default value = 'average')) –
- Returns
- Return type
None
-
load_infectious_data
(multi_org: str = 'list')¶ Load the bug data from each patient and populate ‘data’ accordingly. As default variables will be created as follows: * organism_name = If ‘multi_org’ equals ‘list’ then multiple organisms will be stored as a comma separated list without duplicates, whereas if the value is ‘mixed’ then multiple organisms will result in a value of ‘mixed’. * organism_type = value of either ‘gram positive’, ‘gram negative’, ‘virus’, ‘mixed’ or ‘fungal’ * hmbpp = True or False based on HMBPP status (Note: it only takes one positive organism for this value to be True) * ribo = True or False based on Ribo status (Note: it only takes one positive organism for this value to be True)
- Parameters
multi_org (str (Default value = 'list')) –
- Returns
- Return type
None
-
load_meta
(variable: str) → None¶ Load meta data for each patient. Must be provided with a variable that is a field with a single value NOT an embedded document. A column will be generated in the Pandas DataFrame stored in the attribute ‘data’ that pertains to the variable given and the value will correspond to that of the patients.
- Parameters
variable (str) – field name to populate data with
- Returns
- Return type
None
-
plot_2d
(primary_id: dict, x: str, y: str, secondary_id: dict = None, xlim: tuple = None, ylim: tuple = None) → matplotlib.axes._axes.Axes¶ Plots two-dimensions as either a scatter plot or a 2D histogram (defaults to 2D histogram if number of data-points exceeds 1000). This can be used for close inspection of populations in contrast to their clustering assignments. Particularly useful for debugging or inspecting anomalies.
- Parameters
primary_id (dict) – variable for selection of primary dataset to plot, e.g. if primary ID is a population name, then only data-points belonging to that gated population will be displayed. Alternatively if it is the name of a cluster or meta-cluster, then only data-points assigned to that cluster will be displayed.
secondary_id (dict, optional) – variable for selection of secondary dataset, plotted over the top of the primary dataset for comparison
x (str) – Name of variable to plot on the x-axis
y (str) – Name of variable to plot on the y-axis
xlim (tuple, optional) – limit the x-axis to a given range (optional)
ylim (tuple, optional) – limit the y-axis to a given range (optional)
- Returns
- Return type
matplotlib.axes
-
plot_representation
(x_variable: str, y_variable, discrete: bool = True, mask: pandas.core.frame.DataFrame = None, figsize: tuple = (6, 6), **kwargs)¶ Present a breakdown of how a variable is represented in relation to a cluster/population/meta cluster
- Parameters
x_variable (str) – either cluster, population or meta cluster
y_variable (str) – variable for comparison (give a value of ‘patient’ for patient represenation
discrete (bool, (default=True)) – if True, the variable is assumed to be discrete
mask (Pandas.DataFrame, optional) – a valid Pandas DataFrame mask to subset data prior to plotting (optional)
figsize (tuple, (default=(6,6))) – tuple defining figure size passed to matplotlib call
- Returns
- Return type
matplotlib.axes
-
save
(path: str) → None¶ Save the contained dataframe to a new csv file
- Parameters
path (str) – output path for csv file
- Returns
- Return type
None
-
scatter_plot
(label: str, features: list, discrete: bool, populations: list = None, n_components: int = 2, dim_reduction_method: str = 'UMAP', mask: pandas.core.frame.DataFrame = None, figsize: tuple = (12, 8), meta: bool = False, meta_scale_factor: int = 100, dim_reduction_kwargs: dict = None, matplotlib_kwargs: dict = None) → matplotlib.axes._axes.Axes¶ Generate a 2D/3D scatter plot (dimensions depends on the number of components chosen for dimensionality reduction. Each data point is labelled according to the option provided to the label arguments. If a value is given to both primary and secondary label, the secondary label colours the background and the primary label colours the foreground of each datapoint.
- Parameters
label (str) – option for the primary label, must be one of the following: * A valid column name in Explorer attribute ‘data’ (check valid column names using Explorer.data.columns) * ‘global clusters’ - requires that phenograph_clustering method has been called prior to plotting. Each data point will be coloured according to cluster association. * ‘gated populations’ - each data point is coloured according to population identified by prior gating
features (list) – list of column names used as feature space for dimensionality reduction
discrete (bool) – Are the labels for this plot discrete or continuous? If True, labels will be treated as discrete, otherwise labels will be coloured using a gradient and a colourbar will be provided.
populations (list, optional) – if primary/secondary label has value of ‘gated populations’, only populations in this list will be included (events with no population associated will be labelled ‘None’)
n_components (int, (default=2)) – number of components to produce from dimensionality reduction, valid values are 2 or 3
dim_reduction_method (str, (default = 'UMAP')) – method to use for dimensionality reduction, valid values are ‘UMAP’ or ‘PHATE’
mask (Pandas.DataFrame, optional) – a valid Pandas DataFrame mask to subset data prior to plotting
figsize (tuple, (default=(12,8))) – tuple of figure size to pass to matplotlib call
meta (bool, (default=False)) – if True, data is assumed to come from meta-clustering
meta_scale_factor (int, (default=100)) – if meta is True, scale factor defines the size of datapoints; size = meta_scale_factor * proportion of events in cluster relative to root population
dim_reduction_kwargs (dict, optional) – additional keyword arguments to pass to dimensionality reduction algorithm
matplotlib_kwargs (dict, optional) – additional keyword arguments to pass to matplotlib call
- Returns
- Return type
matplotlib.axes
-
class
cytopy.flow.clustering.main.
GlobalClustering
(**kwargs)¶ Bases:
cytopy.flow.clustering.main.Clustering
Sample data from all (or some) samples in an FCS Experiment and perform clustering on the concatenated dataset. This is useful when you want to look at some global change in immunological topology and batch effects are minimal.
Methods
cluster
()Perform clustering as specified in the Clustering Definition.
explorer
()Returns an Explorer object with the single cell data and clusters, for plotting and exploring meta-data.
load_data
(experiment, samples, sample_n)Load fcs file data, including any associated gates or clusters
-
cluster
()¶ Perform clustering as specified in the Clustering Definition.
-
explorer
() → cytopy.flow.clustering.main.Explorer¶ Returns an Explorer object with the single cell data and clusters, for plotting and exploring meta-data. See flow.clustering.main.Explorer for details.
- Returns
- Return type
-
load_data
(experiment: cytopy.data.fcs_experiments.FCSExperiment, samples: list = 'all', sample_n: int = 1000)¶ Load fcs file data, including any associated gates or clusters
- Parameters
experiment (FCSExperiment) – FCSExperiment to load samples from
samples (list or str, (Default value = 'all')) – list of sample IDs (if value = ‘all’, then all samples from FCS Experiment are used)
sample_n (int, optional, (Default value = 1000)) – if an integer value is provided, each file will be downsampled to the indicated amount (optional)
- Returns
- Return type
None
-
-
class
cytopy.flow.clustering.main.
MetaClustering
(experiment: cytopy.data.fcs_experiments.FCSExperiment, samples: str = 'all', scale: str = 'norm', load_existing_meta: bool = False, **kwargs)¶ Bases:
cytopy.flow.clustering.main.Clustering
Perform meta-clustering; this is when, given a list of samples that have already been clustered, find groupings (cluster of the clusters) that describe the commonality between individual clustering. Performing clustering on individual samples has the benefit in that clustering will not be disrupted by batch effect (technical variation between patients) but we must find a way of contrasting the clustering between patients. This is what this class is for. The approach taken is that each clusters centroid is calculated (the median of each feature) and these centroids form a new multi-dimensional data point which are then subsequently clustered. Clustering is performed either by a single run of PhenoGraph clustering, or by Consensus Clustering. For stable clusters it is recommended to use Consensus Clustering.
- Parameters
experiment (FCSExperiment) – This is the FCS Experiment that samples will be taken from
samples (str or list, (default='all')) – list of sample names to extract clusters from associated experiment
scale (str, optional, (default='norm')) – scaling function to apply to data prior to clustering
load_existing_meta (bool, (default=False)) – If True, existing meta-clusters (with the meta-clustering UID in the clustering definition) will be loaded into the object
Methods
cluster
()Perform clustering as defined by clustering definition.
explorer
()Returns an Explorer object with the single cell data and clusters, for plotting and exploring meta-data.
inspect_heatmap
(**kwargs)Generate a clustered heatmap of clustering results.
label_cluster
(meta_cluster_id, new_id, prefix)Given an existing meta cluster ID and a new replacement ID, update meta clustering IDs
load_clusters
(samples)Load the clusters from each sample and populate a new dataframe.
Load existing meta-cluster ID for each cluster (note: a cluster can only ever have one meta-cluster ID).
save
()Save results of meta-clustering to underlying database
-
cluster
()¶ Perform clustering as defined by clustering definition. Clustering results saved to DataFrame in ‘meta_cluster_id’ column.
-
explorer
() → cytopy.flow.clustering.main.Explorer¶ Returns an Explorer object with the single cell data and clusters, for plotting and exploring meta-data. See flow.clustering.main.Explorer for details.
- Returns
- Return type
-
inspect_heatmap
(**kwargs)¶ Generate a clustered heatmap of clustering results. Rows are coloured according to population labels (as generated by gating)
- Parameters
kwargs – Additional keyword arguments to pass to call to Seaborn.clustermap
- Returns
- Return type
matplotlib.axes
-
label_cluster
(meta_cluster_id: str, new_id: str, prefix: str = 'cluster')¶ Given an existing meta cluster ID and a new replacement ID, update meta clustering IDs
- Parameters
meta_cluster_id (str) – meta cluster ID to be replaced
new_id (str) – new ID to use
prefix (str or None, (Default value = 'cluster')) – optional prefix to append to new ID (default = “cluster”)
- Returns
- Return type
None
-
load_clusters
(samples: list) → pandas.core.frame.DataFrame¶ Load the clusters from each sample and populate a new dataframe. Each row of the dataframe corresponds to a unique cluster from an individual patient sample, with the values of each feature being the median (centroid of this cluster).
- Parameters
samples (list) – List of samples to fetch from the experiment
- Returns
- Return type
Pandas.DataFrame
-
load_existing_clusters
()¶ Load existing meta-cluster ID for each cluster (note: a cluster can only ever have one meta-cluster ID). Meta-clusters are saved to DataFrame in column ‘meta_cluster_id’.
-
save
()¶ Save results of meta-clustering to underlying database
-
class
cytopy.flow.clustering.main.
SingleClustering
(**kwargs)¶ Bases:
cytopy.flow.clustering.main.Clustering
Perform clustering on a single fcs file group. User provides a clustering definition (see data.clustering.ClusteringExperiment) and then can use ‘load_data’ method to load fcs data from an FCS experiment and associated sample. Call ‘cluster’ method to performing clustering using the method described in the clustering definition. To save the clustering result, use the ‘save_clusters’ method. The resulting clusters will be saved to the ‘root population’ (given in the clustering definition) of the sample FCS file group. If the user calls ‘load_data’ on a sample with existing clusters in the database, for the clustering definition given, the object will be populated accordingly. If you wish to overwrite these clusters, class ‘delete_clusters’ followed by ‘save_clusters’ with the ‘overwrite’ argument set to True.
- Parameters
data (Pandas.DataFrame) – a Pandas DataFrame of FCS single cell data that clustering will be performed upon
ce (ClusteringDefinition) – associated clustering definition
clusters (dict) – dictionary object of identified clusters
Methods
cluster
()Perform clustering as described by the clustering definition.
All clusters will be deleted from the object.
explorer
()Returns an Explorer object with the single cell data and clusters, for plotting and exploring meta-data.
get_cluster_dataframe
(cluster_id, meta)Return a Pandas DataFrame of single cell data for a single cluster.
load_data
(experiment, sample_id, …)Given some FCS Experiment and the name of a sample associated to that experiment, populate the ‘data’ parameter with single cell data from the given sample and FCS experiment.
save_clusters
(overwrite)Clusters will be saved to the root population of associated sample.
-
cluster
()¶ Perform clustering as described by the clustering definition. Results saved to internal attribute ‘clusters’.
-
delete_clusters
()¶ All clusters will be deleted from the object.
-
explorer
() → cytopy.flow.clustering.main.Explorer¶ Returns an Explorer object with the single cell data and clusters, for plotting and exploring meta-data. See flow.clustering.main.Explorer for details.
- Returns
- Return type
-
get_cluster_dataframe
(cluster_id: str, meta: bool = False) → pandas.core.frame.DataFrame¶ Return a Pandas DataFrame of single cell data for a single cluster.
- Parameters
cluster_id (str) – name of cluster to retrieve
meta (bool, (Default value = False)) – if True, fetch cluster by meta_cluster_id (default = False) :return DataFrame of events in cluster (Data returned untransformed)
- Returns
- Return type
Pandas.DataFrame or None
-
load_data
(experiment: cytopy.data.fcs_experiments.FCSExperiment, sample_id: str, include_population_label: bool = True, scale: str = None)¶ Given some FCS Experiment and the name of a sample associated to that experiment, populate the ‘data’ parameter with single cell data from the given sample and FCS experiment.
- Parameters
experiment (FCSExperiment) –
sample_id (str) – sample identifier
include_population_label (bool, (default = True)) – if True, data frame populated with population labels from gates
scale (str, optional) – specify how to scale the data
- Returns
- Return type
None
-
save_clusters
(overwrite: bool = False)¶ Clusters will be saved to the root population of associated sample.
- Parameters
overwrite (bool, (Default value = False)) – if True, existing clusters in database entry will be overwritten.
- Returns
- Return type
None
-
cytopy.flow.clustering.main.
filter_dict
(d: dict, keys: list) → dict¶ Given a dictionary, filter the contents and return a new dictionary containing the given keys
- Parameters
d (dict) – dictionary to filter
keys (list) – list of keys to include in new dictionary
- Returns
filtered dictionary
- Return type
dict
-
cytopy.flow.clustering.main.
meta_dict_lookup
(key: str) → str¶ Lookup a value in the Meta Data dictionary; this collection contains a description of meta data variables and can be used for guidance for the user, see data.patient.MetaDataDictionary
- Parameters
key (str) – value to lookup
- Returns
Description of given variable or None if variable does not exist
- Return type
str or None
Classes
|
Python implementation of FlowSOM algorithm, adapted from https://github.com/Hatchin/FlowSOM |
-
class
cytopy.flow.clustering.flowsom.
FlowSOM
(data: pandas.core.frame.DataFrame, features: list, neighborhood_function: str = 'gaussian', normalisation: bool = False)¶ Bases:
object
Python implementation of FlowSOM algorithm, adapted from https://github.com/Hatchin/FlowSOM
- Parameters
data (Pandas.DataFrame) – training data
features (List) – list of columns to include
neighborhood_function (str) – name of distribution for initialising weights
normalisation (bool) – if True, min max normalisation applied prior to computation
Methods
meta_cluster
(cluster_class, min_n, max_n, …)Perform meta-clustering.
predict
()Predict the cluster allocation for each cell in the associated dataset.
train
(som_dim, sigma, learning_rate, …)Train self-organising map.
-
meta_cluster
(cluster_class: callable, min_n: int, max_n: int, iter_n: int, resample_proportion: float = 0.5)¶ Perform meta-clustering. Implementation of Consensus clustering, following the paper https://link.springer.com/content/pdf/10.1023%2FA%3A1023949509487.pdf
- Parameters
cluster_class – clustering object (must follow Sklearn standard; needs fit_predict method called with parameter n_clusters)
min_n (int) – the min proposed number of clusters
max_n (int) – the max proposed number of clusters
iter_n (int) – the iteration times for each number of clusters
resample_proportion (float, (Default value = 0.5)) – within (0, 1), the proportion of re-sampling when computing clustering
- Returns
- Return type
None
-
predict
()¶ Predict the cluster allocation for each cell in the associated dataset. (Requires that train and meta_cluster have been called previously)
- Returns
Predicted labels
- Return type
Numpy.array
-
train
(som_dim: tuple = (250, 250), sigma: float = 1.0, learning_rate: float = 0.5, batch_size: int = 500, seed: int = 42, weight_init: str = 'random')¶ Train self-organising map.
- Parameters
som_dim (tuple, (default=(250, 250))) – dimensions of SOM embedding (number of nodes)
sigma (float, (default=1.0)) – the radius of the different neighbors in the SOM, default = 1.0
learning_rate (float, (default=0.5)) – alters the rate at which weights are updated
batch_size (int, (default=500)) – size of batches used in training (alters number of total iterations)
seed (int, (default=42)) – random seed
weight_init (str, (default='random')) – how to initialise weights: either ‘random’ or ‘pca’ (Initializes the weights to span the first two principal components)
- Returns
- Return type
None
Classes
|
Implementation of Consensus clustering, following the paper |
-
class
cytopy.flow.clustering.consensus.
ConsensusCluster
(cluster: callable, smallest_cluster_n: int, largest_cluster_n: int, n_resamples: int, resample_proportion: float = 0.5)¶ Bases:
object
- Implementation of Consensus clustering, following the paper
https://link.springer.com/content/pdf/10.1023%2FA%3A1023949509487.pdf Code is adapted from https://github.com/ZigaSajovic/Consensus_Clustering
Methods
fit
(data)Fits a consensus matrix for each number of clusters
predict
()Predicts on the consensus matrix, for best found cluster number
predict_data
(data)Predicts on the data, for best found cluster number
- Parameters
cluster – clustering class (must be an instance of clustering algorithm with fit/fit_predict method (e.g. scikit-learn)
L – smallest number of clusters to try
K – biggest number of clusters to try
H – number of resamplings for each cluster number
resample_proportion – percentage to sample
Mk – consensus matrices for each k (OTE: every consensus matrix is retained)
Ak – area under CDF for each number of clusters (see paper)
deltaK – changes in ares under CDF (see paper)
-
fit
(data: numpy.array) → None¶ Fits a consensus matrix for each number of clusters
- Parameters
data (Numpy.array) – numpy array to fit clustering algorithm too
- Returns
- Return type
None
-
predict
()¶ Predicts on the consensus matrix, for best found cluster number :returns: :rtype: Clustering predictions
-
predict_data
(data: numpy.array)¶ Predicts on the data, for best found cluster number
- Parameters
data (np.array :) – data to make predictions
- Returns
- Return type
Clustering predictions


FunctionalEntityStore
open class FunctionalEntityStore<EntityType> : EntityStore where EntityType : CanBeIdentified
Undocumented
-
Undocumented
See moreDeclaration
Swift
public enum StoreError : Error
-
Undocumented
Declaration
Swift
public convenience init(persistEntites: @escaping (_ entities: [EntityType]) throws -> Void, deleteEntites: @escaping (_ entities: [EntityType]) throws -> Void, getEntities: @escaping ()->[EntityType])
-
Undocumented
Declaration
Swift
public init(persistEntites: @escaping (_ entities: [EntityType]) throws -> Void, deleteEntites: @escaping (_ entities: [EntityType]) throws -> Void, getEntities: @escaping ()->[EntityType], getEntity: @escaping (_ identifier: String) -> EntityType?)
-
Undocumented
Declaration
Swift
public func isResponsible<T>(for object: T) -> Bool
-
Undocumented
Declaration
Swift
public func isResponsible<T>(forType type: T.Type) -> Bool
-
Undocumented
Declaration
Swift
public func delete<T>(_ item: T!) throws
-
Undocumented
Declaration
Swift
public func delete<T>(_ items: [T]) throws
-
Undocumented
Declaration
Swift
public func delete<T>(_ item: T!, completion: @escaping () -> ()) throws
-
Undocumented
Declaration
Swift
public func get<T>(_ identifier: String) throws -> T?
-
Undocumented
Declaration
Swift
public func get<T>(_ identifier: String, completion: @escaping (T?) -> Void) throws
-
Undocumented
Declaration
Swift
public func persist<T>(_ item: T!) throws
-
Undocumented
Declaration
Swift
public func persist<T>(_ item: T!, completion: @escaping () -> ()) throws
-
Undocumented
Declaration
Swift
public func persist<T>(_ items: [T]) throws
-
Undocumented
Declaration
Swift
public func getAll<T>(_ type: T.Type) throws -> [T]
-
Undocumented
Declaration
Swift
public func getAll<T>(_ type: T.Type, completion: @escaping ([T]) -> Void) throws
-
Undocumented
Declaration
Swift
public func getAll<T>(_ viewName: String) throws -> [T]
-
Undocumented
Declaration
Swift
public func getAll<T>(_ viewName: String, completion: @escaping ([T]) -> Void) throws
-
Undocumented
Declaration
Swift
public func getAll<T>(_ viewName: String, groupName: String) throws -> [T]
-
Undocumented
Declaration
Swift
public func getAll<T>(_ viewName: String, groupName: String, completion: @escaping ([T]) -> Void) throws
-
Undocumented
Declaration
Swift
public func exists<T>(_ item: T!) throws -> Bool
-
Undocumented
Declaration
Swift
public func exists<T>(_ item: T!, completion: @escaping (Bool) -> Void) throws
-
Undocumented
Declaration
Swift
public func exists<T>(_ identifier: String, type: T.Type) throws -> Bool
-
Undocumented
Declaration
Swift
public func exists<T>(_ identifier: String, type: T.Type, completion: @escaping (Bool) -> Void) throws
-
Undocumented
Declaration
Swift
public func filter<T>(_ type: T.Type, includeElement: @escaping (T) -> Bool) throws -> [T]
-
Undocumented
Declaration
Swift
public func filter<T>(_ type: T.Type, includeElement: @escaping (T) -> Bool, completion: @escaping ([T]) -> Void) throws
-
Undocumented
Declaration
Swift
public func addView<T>(_ viewName: String, groupingBlock: @escaping ((String, String, T) -> String?), sortingBlock: @escaping ((String, String, String, T, String, String, T) -> ComparisonResult)) throws
-
Undocumented
Declaration
Swift
public func transaction(transaction: @escaping (EntityStore) throws -> Void) throws
-
Undocumented
Declaration
Swift
public func toTypedEntityStore() throws -> TypedEntityStore<EntityType>


This is an H1 Heading
This is an H3 Heading
This is an H2 Heading
This is an H4 Heading
This is an H5 Heading
This is an H6 Heading
This is the first header
This is the first h1 header
This is an H1 Heading
This is an H3 Heading
This is an H2 Heading
This is an H4 Heading
This is an H5 Heading
This is an H6 Heading
This is the first header
This is the first h1 header


Class 4
The Default static Position
selector {
position: static;
}
Usually you wouldn't specify position: static; since it is the default position of every element
selector {
position: relative;
top: 10px;
bottom: 10px;
left: 10px;
right: 10px;
}
You'll never use both top and bottom or both left and right
selector {
position: absolute;
top: 10px;
bottom: 10px;
left: 10px;
right: 10px;
}
You'll never use both top and bottom or both left and right
See the Pen Absolute Positioning by Liz Shaw (@anythingcodes) on CodePen.
| Relative | Absolute | |
|---|---|---|
| Can use top/bottom or left/right? | ✔ | ✔ |
| Measured from where it would have been | ✔ | ✗ |
| Measured from body or closest non-static parent | ✗ | ✔ |
Non-static elements can overlap
You can change the order of overlapping with z-index
The element with the highest z-index goes on top
z-index only works on non-static elements (such as relative or absolute)
.bottom {
position: absolute; /* absolute is a non-static position */
bottom: 10px;
left: 60px;
background-color: lightcoral;
}
.top {
position: absolute; /* absolute is a non-static position */
bottom: 15px;
left: 60px;
background-color: lightseagreen;
z-index: 2;
}
An Example
selector {
float: left;
float: right;
}
An Example
Example: Using float in Layouts
See the Pen Float in Layouts - Before by Liz Shaw (@anythingcodes) on CodePen.
selector {
clear: left;
clear: right;
clear: both;
}
The clear property is used exclusively on elements surrounding floated elements
It tells the element on which side (left, right, or both) floated elements cannot appear
See the Pen Float with Text - Before by Liz Shaw (@anythingcodes) on CodePen.
ul {
list-style-type: none;
}
Today's Exercise: http://bit.ly/gdi-web-class-4
Self-guided tutorials
Video Series
Press the down arrow or spacebar to view
GitHub is free and a great intro to version control
A version control system records changes to a file or set of files over time so that you can keep track of changes and roll back to previous revisions
Almost every web agency uses a version control system
http://anything.codes is hosted for free on GitHub! See?
There are two paid services involved:
You can buy hosting from one company and a domain name from another, but it's usually less of a hassle to buy both from the same company
I use 1&1's Starter package, since it includes hosting and one domain name
When it comes to hosting, don't be fooled by the extra bells and whistles — if you aren't sure what something is, you probably don't need it
Why are there two separate services?
First, your files need to be stored on a web host, which is a computer (a.k.a. server)
When you register a domain, it doesn't 'point' to the server where your files are located
This is why your web host may give you a Domain Name System (or DNS) address, which is the IP address of the computer (a.k.a. server) where your files are located
The Domain Name System (DNS) is a huge list that links your domain name (e.g. anything.codes) to where your files are located (using the IP address of the server where your files are located)


Hey There! I am Murat Can.I am 23 years old. I am a student as a Computer Engineer in Anadolu University!.. My family lives in ANKARA which is the capital city of TURKEY..This is my personal webpage which contains a lot of about me . Here some link about me check-it out!


[Erowid Warning: Our understanding of the literature is that there is no such thing as safe use of volatile solvents, aerosols and other street inhalants : their psychoactive effects are inseparable from nerve and organ damage. We have chosen to include these reports to help document the real world use of inhalants, but their inclusion is not intended to imply that they are anything but dangerous.]
This is an account of several trips with inhalants.
Philosophical babble:
I took my philosophy degree at the university with the theme “Creativity and Language”. At the time I was finished, I was convinced that creativity appears as a shift of a form or an image from one common use in a language system to a new one. And the process is not logical, as in being capable to describe all the steps, but it appears as a sudden jump. That jump is a synthesis not made consciously. For example: “I took a bath and I watch as the water flows on my watch. I suddenly come with the idea to draw a “liquid watch”.
I’ve read Jung’s works on archetypes and decided that the best way to find out if archetypes existed and had something to do with creativity is to try to experience them. The obvious choices were hallucinogens. I decided to use acetone after I’ve read an article about it.
First trip :
There I was sitting with a tube of glue and a plastic bag. All my work had never prepared me of what I was about to experience. After several huffs the sounds start to repeat in a loop. And there it was. It risen from deep inside of me. An ancient being, and it looked at the world around, took a deep breath and laughed. It was happy to live again. In Jung’s concepts this would seem to be the “shadow”. It is important to make the notice that at that time I have not read the Jung’s publications about the various archetypes only a general account of what an archetypal image is. I on the other hand was afraid that I was caught in an endless helix.
But the shadow said “No problem, we are in loop universe. No worry. Here you’ll meet yourself and leave yourself.” And it started talking to me how different types of drugs catch people in different persons (the persona). The trip was over in 15 minutes.
Second trip:
Next day I decided to continue. The shadow again welcomed me. It was more clear an image this time. It had a nice sense of humor (The trickster or the fool). It resembled at the same time a fool or a very organized man. It was not within me but as a different persona. As the trip was getting to its end all the hallucinations centralized as an upside-down echo that returns to its center or maker. The trip was 30 minutes.
Third trip:
This was more extreme. I was listening to Bjork at the time. The shadow showed me an empress or a goddess (The anima). I’ve read the chapter on the anima but it concerned mostly females so again it appeared “by itself” not from what I’ve red. Of course the song of Bjork was the raw material with witch the image developed.
“The goddess is very fair and cruel, everyone who tries to marry or kiss her dies. Only a magician can trick her. “ – said the shadow .
 Can you reach me, can you kiss me?” Echoes the voice of the goddess from above.
“Yes I can” said I. Then two ghosts appeared - red and blue.
“They manifest in reality only with an automatic gesture or a phrase. They are at war with each other. Wins whoever manages to express himself the most in the world. “ said the shadow.
The empress said : ”There are different levels of being, a simple phrase repeated is one. A gesture another, much like a human being. But it lives in the lives of others without considering consequences.”
“The flesh is a thought put in a fact a thought that passes within and trough flesh to become a fact. It’s both the lowest and the highest. A free thought is such that needs no flesh to appears.” Said both the queen and the fool as a choir. With their words I saw colors, abstract shapes and geometric forms.
“The biggest pain is to live with consequences.” Was the final echo from the drug.
The trip was 40 minutes long.
Before the forth trip:
I discovered the formal resemblance between hallucinations and mythology and fairy tails. I decided to use some method of magick to concentrate myself within the trip. I read extensively different mythological texts. I had an important dream : Horus appeared as a number both 3 and 4. Again I read about the mythological meaning of the numbers afterwards. At the time a woke the only thing I could put up was that they equal 7.
The forth trip:
I sit on my knees and try to focus. I’m like Alice in wonderland changing size. The shadow appears and shifts to a monk who will teach me now. He shows me an image of a flower on the flour. “This is the most important thing.” Said he. Afterwards I read about Mandala and how it corresponds to the blossoming flower of the rose. This trip was 40 minutes.
Fifth and last trip:
The goddess and the shadow present me in a grand golden amphitheatre. There are all the gods from all the grades and levels of being.
“You have been chosen to be an emperor.” Said a golden figure - old man sitting in a throne (the old man).
“I can’t. Look at me. I’m nobody.” Said I.
“Stop acting as a spoiled child. You have being chosen. You’ve passed all the tests.” A choir of all the beings echoes.
The trip lasted 2 hours.
At that point I was afraid of the megalomanic structure (I’m not sure how to spell that in English) of the hallucinations and stopped experimenting.
Conclusion:
The archetypal origin of the hallucinations was quite obvious. But there were a lot more than a display of old mythological figures. The way different ideas were presented with shapes and colors, was a proof of my concept about creativity. At last there was one thing which lies beyond my logical means of explaining: these experiences changed my conscious perception of the world and myself, the only way to describe them now is as a synthesis between spiritual and rational thoughts. In the broadest possible meaning of these two words.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


| Commands | Purpose | Example | Module |
|---|---|---|---|
| .accesslevel | Shows what level of access you have. | .accesslevel Example | adminlist |
| .ban | Allows you to ban a user from the channel you are in | .ban Example | channelmgmt |
| .blocks | Manage ZppixBot's blocking features. https://github.com/sopel-irc/sopel/wiki/Making-Sopel-ignore-people |
.blocks add nick somenickhere | coretasks |
| .c | Google calculator. | .c 5 + 3 | calc |
| .chairs | Set the meeting chairs. https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.chairs Tyrope Jason elad | meetbot |
| .commands | Return a list of ZppixBot's commands | .commands | help |
| .duck | Queries Duck Duck Go for the specified input. | .duck wikipedia | search |
| .endmeeting | End a meeting. https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.endmeeting | meetbot |
| .ety | Look up the etymology of a word | .ety word | etymology |
| .countdown | .countdown <year> <month> <day> - displays a countdown to a given date. | .countdown 2019 09 01 | countdown |
| .tld | Show information about the given Top Level Domain. | .tld .com | tld |
| .task | Gives a link to the specified task on Miraheze Phabricator | .task 1 | mh_phab |
| .iplookup .ip |
IP Lookup tool | .iplookup <IP_ADDRESS> | ip |
| .isup | isup.me website status checker | .isup miraheze.org | isup |
| .kick | Kick a user from the channel. | .kick example reason | channelmgmt |
| .in | Gives you a reminder in the given amount of time. | .in 3h45m Release a new version of ZppixBot | reminders |
| .at | Gives you a reminder at the given time. Time format: hh:mm:ss. To see what timezone is used, type .getchanneltz (if setting a reminder in a IRC channel) or .gettz (elsewhere) | .at 13:47 Update the servers! | reminders |
| .cancelreminder | Pings the bot operators to cancel a reminder that you no longer need. | .cancelreminder (insert reminder message here) | reminders |
| .miraheze | This command will tell you about Miraheze and where to learn more | miraheze | |
| .gethelp | Pings Miraheze admins, prompting to help a user that needs help. | .gethelp I cannot access https://www.meta.miraheze.org | miraheze |
| .python | Tells you what version of Python ZppixBot is running. | .python | pyver |
| .kickban .kb |
This gives admins the ability to kickban a user. The bot must be a Channel Operator for this command to work |
.kickban [#chan] user1 user!@ get out of here | channelmgmt |
| .mangle | Repeatedly translate the input until it makes no sense. | .mangle this is a sentence | translate |
| .action | Log an action in the meeting log https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.action elad will develop a meetbot | meetbot |
| .agreed | Log an agreement in the meeting log. https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.agreed bowties are not cool | meetbot |
| .info | Log an informational item in the meeting log https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.info all board members present | meetbot |
| .link | Log a link in the meeting log. https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.link http://example.com | meetbot |
| .subject | Change the meeting subject. https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.subject roll call | meetbot |
| .movie | Returns some information about a movie, like Title, Year, Rating, Genre and IMDB Link. | .movie Movie Title | movie |
| .part | Part the specified channel. This is an admin-only command. | .part #example | admin |
| .quiet | This gives admins the ability to quiet a user. The bot must be a Channel Operator for this command to work |
.quiet Example | channelmgmt |
| .quit | Quit from the server. This is an owner-only command. | .quit | admin |
| .rand | .rand <arg1> <arg2> - Generates a random integer between <arg1> and <arg2>. | .rand 10 99 | rand |
| .search | Searches Google, Bing, and Duck Duck Go. | .search nerdfighter | search |
| .seen | Reports when and where the user was last seen. | .seen example | seen |
| .tmask | Set the mask to use for .topic in the current channel. %s is used to allow substituting in chunks of text. | channelmgmt | |
| .showmask | Show the topic mask for the current channel. | channelmgmt | |
| .spellcheck | Says whether the given word is spelled correctly, and gives suggestions if it's not. | .spellcheck stuff | spellcheck |
| .startmeeting | Start a meeting. https://github.com/sopel-irc/sopel/wiki/Using-the-meetbot-module |
.startmeeting title or .startmeeting | meetbot |
| .suggest | Suggest terms starting with given input | search | |
| .t | Returns the current time. | .t UTC | clock |
| .topic | This gives ops the ability to change the topic. | channelmgmt | |
| .translate | Translates a phrase, with an optional language hint. | translate | |
| .unban | This give admins the ability to unban a user. The bot must be a Channel Operator for this command to work. |
channelmgmt | |
| .unquiet | This gives admins the ability to unquiet a user. The bot must be a Channel Operator for this command to work |
channelmgmt | |
| .setchanneltz | Set the preferred time zone for the channel. | clock | |
| .setchanneltimeformat | Sets your preferred format for time. Uses the standard strftime format. You can use http://strftime.net or your favorite search engine to learn more. | .setchanneltimeformat %FT%T%z | clock |
| .settz | Set your preferred time zone. Most timezones will work, but it's best to use one from http://dft.ba/-tz | clock | |
| .settimeformat | Sets your preferred format for time. Uses the standard strftime format. You can use http://strftime.net or your favorite search engine to learn more. | .settimeformat %FT%T%z | clock |
| .setlocation | Set your default weather location. | .setlocation Columbus, OH | weather |
| .version | Tells you what version of Sopel ZppixBot is running. | version | |
| .weather | .weather location - Show the weather at the given location. | .weather London | weather |
| .w | Look up something on Wikipedia | wikipedia | |
| .wt | Look up a word on Wiktionary. | .wt bailiwick | wiktionary |
| .xkcd | .xkcd - Finds an xkcd comic strip. Takes one of 3 inputs: If no input is provided it will return a random comic If numeric input is provided it will return that comic If non-numeric input is provided it will return the first google result for those keywords on the xkcd.com site |
xkcd | |
| .add_known .adduser |
.add_known <username> <channel> - will add username to known users list. Users from this list will not be welcomed upon joining the channel | .add_known Zppix #miraheze | welcome |
from __future__ import unicode_literals, absolute_import, print_function, division import sopel import sopel.module import requests import sopel.tools from sopel.module import rule, priority, thread, commands, exampleLet's define a function, which replies to ".hi" command with a greeting:
@commands('hi') def bot_hi(bot, trigger): bot.say('Hi ' + trigger.nick + '!')Explanation: using @commands we specify which command bot should react to (in our case ".hi")
@commands('hi', 'hello', 'hey') def bot_hi(bot, trigger): bot.say('Hi ' + trigger.nick + '!')You may try running that code and see that bot will react to all commands mentioned by saying "hi" to message sender.
@commands('welcome') @example('.welcome John') def bot_welcome(bot, trigger): bot.say('Welcome ' + trigger.group(2) + '! Enjoy yourself in this chat!')Explanation: we use trigger.group(2) to get the text after the command (in our example - name of user to welcome)
@commands('echo') @example('.echo hello world!') def bot_welcome(bot, trigger): bot.reply('You said: ' + trigger.group(2))That was an example of simple module. We recommend you visiting Sopel Wiki for more info on this topic.
from __future__ import unicode_literals, absolute_import, print_function, division import sopel import sopel.module import requests import sopel.tools from sopel.module import rule, priority, thread, commands, example @commands('hi', 'hello', 'hey') def bot_hi(bot, trigger): bot.say('Hi ' + trigger.nick + '!') commands('welcome') @example('.welcome John') def bot_welcome(bot, trigger): bot.say('Welcome ' + trigger.group(2) + '! Enjoy yourself in this chat!') @commands('echo') @example('.echo hello world!') def bot_welcome(bot, trigger): bot.reply('You said: ' + trigger.group(2))
ssh (your<EMAIL_ADDRESS>become ZppixBot.
(your username)@tools-bastion-03:~$ become zppixbotNext run the following command:
tools.zppixbot@tools-bastion-03:~$ kubectl get podsThen copy the line under the name column that starts with sopel.bot and only copy it till the last letter in that column line for that name. Finally run the following command:
tools.zppixbot@tools-bastion-03:~$ kubectl delete pods sopel.bot-(enter what you copied from the last command)The bot will quit from IRC and rejoin.
ssh (your<EMAIL_ADDRESS>(your username)@tools-bastion-03:~$ become zppixbot tools.zppixbot@tools-bastion-03:~$Using the cd command, change your current working directory to ~/.sopel and once in said directory run git pull. This pulls in any new changes to the GitHub repository.
zppixbot@tools-bastion-03:~$ cd ~/.sopel tools.zppixbot@tools-bastion-03:~/.sopel$ git pullFinally connect to IRC and in a private message with ZppixBot say .reload and the bot will reload the module files. Saying "ZppixBot: reload" in any channel that ZppixBot is currently in will work as well.
ssh (your<EMAIL_ADDRESS>(your username)@tools-bastion-03:~$ become zppixbot tools.zppixbot@tools-bastion-03:~$Next cd into ~/.sopel and edit ZppixBot-chat.freenode.net.reminders.db and remove the entry for the reminder you want to cancel, and save the file.
zppixbot@tools-bastion-03:~$ cd ~/.sopel tools.zppixbot@tools-bastion-03:~/.sopel$ nano ZppixBot-chat.freenode.net.reminders.dbFinally reboot the bot using the guide above. (Note: you could also use vim)
ssh (your<EMAIL_ADDRESS>(your username)@tools-bastion-03:~$ become zppixbot tools.zppixbot@tools-bastion-03:~$Next cd into ~/ZppixBot and run git pull. This will pull in any new changes to the repository on gerrit.wikimedia.org.
tools.zppixbot@tools-bastion-03:~$ cd ~/ZppixBot tools.zppixbot@tools-bastion-03:~/ZppixBot$ git pullGo to tools.wmflabs.org and check to make sure your changes are present.


ANCIENT ROME
The wonderful city of Ancient Rome.
In historiography, ancient Rome is Roman civilization from the founding of the city of Rome in the 8th century BC to the collapse of the Western Roman Empire in the 5th century AD, encompassing the Roman Kingdom, Roman Republic and Roman Empire until the fall of the western empire.


Here you will find a collection of courses, that are not listed in the official Codecademy catalog.
This collection is curated by user submitted courses.
If you would like to help and improve this website, please consider heading over to our GitHub page here.


Self-improvement is my lifelong journey as I always try to expand my skill sets.
In my free time, I keep myself busy discovering new adventures and new places.
Very attentive to details, hard worker, and committed
Programming Languages: HTML, CSS, Bootstrap, JAVA, JAVASCRIPT, Typescript, PHP
Database Management Systems: My SQL, phpMyAdmin
Frameworks: Angular 9, Laravel 8
Microsoft: Word, Excel, PowerPoint
English (Good), French (Good), and Arabic (Native).
Football, Cycling, and Dama Competitor.


{% extends "base.html" %} {% import "macros.html" as macros with context %} {% block body %}
+ {{ i.source_name }} {{ i.title }}


--- bindings: - name: export resource: 'https://digital-platform-prod-files.s3.amazonaws.com/reports/{{ qs "type" "expeditions" }}.tsv' parser: tsv ---


Fresh Fruit
It has long been known that a diet that includes at least a few servings of fresh fruit every day will help keep you healthy, fit and trim.
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