Empty id
and name
attributes tests
To determine if id
and name
attributes are considered invalid if written as boolean attributes, or attributes with blank values.
Example 01: id
and name
attributes without values
Code
<button id name aria-label="">Test one</button>
Example 02: empty id
and name
attributes
Code
<button id="" name="" aria-label="">Test two</button>
Results
Both methods are considered invalid.
- An
ID
must not be the empty string. - The
name
value must not be empty. ID
attributes with empty strings are also not considered unique.


After completing the above, you are ready to learn C. C is a very powerful programming language. With it, you can write games, or any other programs. You can even write your own operating system! Linux, for example is written in C. Once you can program C, other languages are very easy to learn. Start reading the Teach Yourself C book available from the library. You can try out the examples in the book on this computer. As you try writing your own programs, you may crash this computer. Don't worry, just press the triangle button at the bottom of the computer case to restart this computer.
To compile your program, use gcc, for example:
gcc hello.c -o hello
The above will compile the hello.c program and create an executable file called hello You can now run the executable file by typing:
./hello
Go ahead and try it from the command-line (meaning exit this program, then
type the above)!
To edit your programs, you can use vi, or nano. Nano is easier,
but you can also learn to use vi by reading Chapter 19 of the
Using Linux book. For example, to edit the hello.c program, at the
command-line, type:
nano hello.c
To exit the editor, press Ctrl and while holding it down,
press x, then release both keys. This is shown as ^X at the
bottom of the screen. Press Ctrl and g to get more help.


Modern Python: Features I Haven't Used But Plan To
Python has continued to progress and introduce new features and modules. In this post I’ll cover features I haven’t used much (or at all) and how I plan on using or not using them.
Walrus Operator
I’ve been aware of this for a few years. I’ve found about 3 times where I’ve found it appropriate to use. It’s nice but not a huge change to the way I code. Generally in the pattern
if (thing := function_call()) is not None:
thing.do_stuff()
Name-only parameters
I actually use this a lot, especially with any function that has more than 2 arguments. Forcing the consumer of your library code to explicitly name the parameters makes their code more readable. When you do
def do_my_task(*, client, schema_dataclass, callback):
pass
and force users to call it like do_my_task(client=self.client, schema_dataclass=DataSchema, callback=self.done)
, it overall makes code more easy to skim through.
Async
Long ago I spent entirely too long fighting with Twisted (and writing more boilerplate than substance) and became convinced that asynchronous programming, though its improved performance on I/O bound tasks (that is, every task you’d realistically expect to see in a professional setting) outweigh the pain caused by writing them (allegedly).
I was always a big fan of the gevent library because it let you write async code that looked like syncronous code. Like a decent language like Go or Java let you do.
Instead, Python has fallen prey to the nasty colored functions bug and added, almost identically, Javascript’s approach to async. Booo. It even abuses the iterator protocol to achieve its dark ends.
However, this is built into the standard library and I am reluctantly starting to accept it and write code for it. Tornado is fine, I guess.
Structural Pattern Matching
This one seems like another way to abuse metaprogamming. It looks on its face like a switch
statement, so will likely be misunderstood in the same semantic ways the is
operator is misunderstood.
I think I may try experimenting with this and type hints to write something approximating other languages’ generic coding going forward.
Dictionary Merge & Update Operators
I’ve begun to shy away from using dicts in general in favor of dataclasses, so I don’t really need the shenanigans of abusing operator overloading to do things with dictionaries.
TypedDict
Helps with validation and obviates the need for a third-party dependency like colander
. Also, a typed dict is one step closer in a refactor to being replaced with a dataclass
.
zoneinfo
I generally consider it a Bad Idea to bundle a static copy of the tzinfo
db into the standard library, but it’s nice that it does try to use the OS database first as the OS gets regular updates. It’s one less dependency to have to pip install
into your venv I guess.
Operator Overloading Madness
This covers the general trend to use operator overloading in libraries and language features like the Dict improvements above and the use of |
and [type]
as operators for union types and container/call spec specialization in type hints. When used sparingly it makes code simpler, when overused it makes code opaque. I still have the psychic scars from what C++ developers used to do with operators back in the day so I look upon doing x: Y | Z
over x: T.Union(Y, Z)
with a little bit of reluctance.
Enhanced error locations in Tracebacks
This is a Python 3.11 feature, but exceptions will actually highlight offending code in the TB. Nice.
Self
type
A nice addition to typing
that makes generics a little more convenient.
Variadic generics
YES. I need these too.
Faster CPython
Python 3.11. Sure, I’ll take it.


{% extends 'page.html' %} {% load static %} {% block content %}
Assess the exposure of the MIT population to airborne pollution through the design and implementation of a distributed air quality sensor network on MIT’s campus.
Air quality and well-being are directly connected, as poor air quality has proven detrimental to human health. Currently, air quality is monitored at select places throughout a city, but because of their sparse locations they do not give very much information about the air that we are breathing. However, new sensor technology can be used to provide this information at a greater resolution. We believe it is important that the average person has accessible, easy-to-understand information on air quality, and our goal is to provide the MIT community with real-time air quality updates through data from our sensors. We hope our project will be innovative in using 21st-century technologies to rapidly inform the public on environmental issues.
The goal of our network is to measure local air quality and make it easily understandable to the public. We deployed 24 sensor nodes on the MIT campus that monitor concentrations of five types of pollutants in both indoor and outdoor locations. Data collected from the sensors is available on our website in real time, and may be graphically displayed or downloaded by individual users. The network serves as a generic testbed or prototype for future air quality networks, for deployment across a diverse array of urban and rural environments in both the developed and developing world.
To read more about the project, download the project presentation or summary report.
Project Presentation (PDF) Summary Report (PDF)


50
Judgment on Babylon
1 The word that the LORD spoke concerning Babylon, concerning the land of the Chaldeans, by Jeremiah the prophet:
2 “Declare among the nations and proclaim,
set up a banner and proclaim,
conceal it not, and say:
‘Babylon is taken,
Bel is put to shame,
Merodach is dismayed.
Her images are put to shame,
her idols are dismayed.’
3 “For out of the north a nation has come up against her, which shall make her land a desolation, and none shall dwell in it; both man and beast shall flee away.
4 “In those days and in that time, declares the LORD, the people of Israel and the people of Judah shall come together, weeping as they come, and they shall seek the LORD their God.
5 They shall ask the way to Zion, with faces turned toward it, saying, ‘Come, let us join ourselves to the LORD in an everlasting covenant that will never be forgotten.’
6 “My people have been lost sheep. Their shepherds have led them astray, turning them away on the mountains. From mountain to hill they have gone. They have forgotten their fold.
7 All who found them have devoured them, and their enemies have said, ‘We are not guilty, for they have sinned against the LORD, their habitation of righteousness, the LORD, the hope of their fathers.’
8 “Flee from the midst of Babylon, and go out of the land of the Chaldeans, and be as male goats before the flock.
9 For behold, I am stirring up and bringing against Babylon a gathering of great nations, from the north country. And they shall array themselves against her. From there she shall be taken.
Behold, she shall be the last of the nations,
a wilderness, a dry land, and a desert.
13 Because of the wrath of the LORD she shall not be inhabited
but shall be an utter desolation;
everyone who passes by Babylon shall be appalled,
and hiss because of all her wounds.
14 Set yourselves in array against Babylon all around,
all you who bend the bow;
shoot at her, spare no arrows,
for she has sinned against the LORD.
15 Raise a shout against her all around;
she has surrendered;
her bulwarks have fallen;
her walls are thrown down.
For this is the vengeance of the LORD:
take vengeance on her;
do to her as she has done.
16 Cut off from Babylon the sower,
and the one who handles the sickle in time of harvest;
because of the sword of the oppressor,
every one shall turn to his own people,
and every one shall flee to his own land.
17 “Israel is a hunted sheep driven away by lions. First the king of Assyria devoured him, and now at last Nebuchadnezzar king of Babylon has gnawed his bones.
18 Therefore, thus says the LORD of hosts, the God of Israel: Behold, I am bringing punishment on the king of Babylon and his land, as I punished the king of Assyria.
19 I will restore Israel to his pasture, and he shall feed on Carmel and in Bashan, and his desire shall be satisfied on the hills of Ephraim and in Gilead.
20 In those days and in that time, declares the LORD, iniquity shall be sought in Israel, and there shall be none. And sin in Judah, and none shall be found, for I will pardon those whom I leave as a remnant.
21 “Go up against the land of Merathaim,
and against the inhabitants of Pekod.
Kill, and devote them to destruction,
declares the LORD,
and do all that I have commanded you.
22 The noise of battle is in the land,
and great destruction!
23 How the hammer of the whole earth
is cut down and broken!
How Babylon has become
a horror among the nations!
24 I set a snare for you and you were taken, O Babylon,
and you did not know it;
you were found and caught,
because you opposed the LORD.
25 The LORD has opened his armory
and brought out the weapons of his wrath,
for the Lord GOD of hosts has a work to do
in the land of the Chaldeans.
26 Come against her from every quarter;
open her granaries;
pile her up like heaps of grain, and devote her to destruction;
let nothing be left of her.
27 Kill all her bulls;
let them go down to the slaughter.
Woe to them, for their day has come,
the time of their punishment.
28 “A voice! They flee and escape from the land of Babylon, to declare in Zion the vengeance of the LORD our God, vengeance for his temple.
29 “Summon archers against Babylon, all those who bend the bow. Encamp around her; let no one escape. Repay her according to her deeds; do to her according to all that she has done. For she has proudly defied the LORD, the Holy One of Israel.
30 Therefore her young men shall fall in her squares, and all her soldiers shall be destroyed on that day, declares the LORD.
31 “Behold, I am against you, O proud one,
declares the Lord GOD of hosts,
for your day has come,
the time when I will punish you.
32 The proud one shall stumble and fall,
with none to raise him up,
and I will kindle a fire in his cities,
and it will devour all that is around him.
33 “Thus says the LORD of hosts: The people of Israel are oppressed, and the people of Judah with them. All who took them captive have held them fast; they refuse to let them go.
34 Their Redeemer is strong; the LORD of hosts is his name. He will surely plead their cause, that he may give rest to the earth, but unrest to the inhabitants of Babylon.
35 “A sword against the Chaldeans, declares the LORD,
and against the inhabitants of Babylon,
and against her officials and her wise men!
36 A sword against the diviners,
that they may become fools!
A sword against her warriors,
that they may be destroyed!
37 A sword against her horses and against her chariots,
and against all the foreign troops in her midst,
that they may become women!
A sword against all her treasures,
that they may be plundered!
38 A drought against her waters,
that they may be dried up!
For it is a land of images,
and they are mad over idols.
39 “Therefore wild beasts shall dwell with hyenas in Babylon, and ostriches shall dwell in her.
The sound of them is like the roaring of the sea;
they ride on horses,
arrayed as a man for battle
against you, O daughter of Babylon!
43 “The king of Babylon heard the report of them,
and his hands fell helpless;
anguish seized him,
pain as of a woman in labor.
44 “Behold, like a lion coming up from the thicket of the Jordan against a perennial pasture, I will suddenly make them run away from her, and I will appoint over her whomever I choose. For who is like me? Who will summon me? What shepherd can stand before me?
45 Therefore hear the plan that the LORD has made against Babylon, and the purposes that he has formed against the land of the Chaldeans: Surely the little ones of their flock shall be dragged away; surely their fold shall be appalled at their fate.
46 At the sound of the capture of Babylon the earth shall tremble, and her cry shall be heard among the nations.”


After compose_cells
, this function rearranges and rename attribute-columns in order to
make columns properly aligned, based on the content of the columns.
collate_columns( composed_data, combine_threshold = 1, rest_cols = Inf, retain_other_cols = FALSE, retain_cell_address = FALSE )
| composed_data | output of |
|---|---|
| combine_threshold | a numerical threshold (between 0-1) for content-based collation of columns. (Default 1) |
| rest_cols | number of rest columns (beyond |
| retain_other_cols | whether to keep other intermediate (and possibly not so important) columns. (Default |
| retain_cell_address | whether to keep columns like ( |
A column collated data.frame
Dependency on stringdist: If you have stringdist
installed,
the approximate string matching will be enhanced. There may be variations in outcome if you have stringdist
vs if you don't have it.
Possibility of randomness: If the attribute column is containing many distinct values, then a column representative sample will be drawn.
Hence it is always recommended to set.seed
if reproducibility is a matter of concern.
d <- system.file("extdata", "marks_cells.rds", package = "tidycells", mustWork = TRUE) %>% readRDS() d <- numeric_values_classifier(d) da <- analyze_cells(d) dc <- compose_cells(da, print_attribute_overview = TRUE)#> data_block = 1 #> minor_col_top_1_1 #> School A #> major_col_top_1_1 #> Score #> minor_corner_topLeft_1_1 #> Student Name #> major_row_left_2_1 #> Nakshatra Gayen, Titas Gupta, Ujjaini Gayen, Utsyo Roy #> major_row_left_1_1 #> Female, Male #> data_block = 2 #> minor_corner_topLeft_1_1 #> School B #> major_col_bottom_1_1 #> Indranil Gayen, S Gayen, Sarmistha Senapati, Shtuti Roy #> major_col_bottom_2_1 #> Female, Male #> minor_corner_bottomLeft_1_1 #> Student #> major_row_left_1_1 #> Score #> data_block = 3 #> major_col_top_1_1 #> Score #> minor_corner_topLeft_1_1 #> Name #> major_row_left_2_1 #> I Roy, S Ghosh, S Senapati, U Gupta #> major_row_left_1_1 #> School C #> minor_row_right_1_1 #> Female, Malecollate_columns(dc)#> # A tibble: 12 x 6 #> collated_1 collated_2 collated_3 collated_4 collated_5 value #> <chr> <chr> <chr> <chr> <chr> <chr> #> 1 Score Male School A Student Name Utsyo Roy 95 #> 2 Score Male School A Student Name Nakshatra Gayen 99 #> 3 Score Female School A Student Name Titas Gupta 89 #> 4 Score Female School A Student Name Ujjaini Gayen 100 #> 5 Score Male School B Student Indranil Gayen 70 #> 6 Score Male School B Student S Gayen 75 #> 7 Score Female School B Student Sarmistha Senapati 81 #> 8 Score Female School B Student Shtuti Roy 90 #> 9 Score Male School C Name I Roy 50 #> 10 Score Male School C Name S Ghosh 59 #> 11 Score Female School C Name S Senapati 61 #> 12 Score Female School C Name U Gupta 38


--- layout: default title: Home ---
This is the main file of your Jekyll site. Feel free to edit or delete it. Have fun!


Web Design Checklist
HTML Rules
- Do not label classes with a tag or html element.
- Keep your code neat by using indentions and proper spacing in between elements.
- If you have a nav in your site format it using an unordered list with list elements for the tabs.
CSS Rules
- Code from top to bottom or by element to keep everything organized, remember that styles "cascade" down to all other elements unless you change them.
- Keep your code neat by spacing in between elements.
- Always change the defaults - you are a designer!
Technical and File Management Rules
- Keep your code organized as you go.
- Style your css by grouping all like items together or organizing by pages.
Content
- Body text should only be 45-70 characters long per line.
- Organize content in order of importance -heirarchy
Design Foundations
Grid
- ALWAYS use a grid
- Make the grid on it's own layer and lock it to prevent accidently adjusting the gridlines.
- Good starting grid is 12x12.
Typography
- Do not use more than two font-familes per page.
- Do not use Fake smallcaps, Fake bold, or Fake anything. Find a font-family with built in styles.
- Change the line spacing to at least 1.5 time more what the font size is to allow for easier reading.
Color Theory
- Check colors with the color blindness tests for high contrast.
- Label colors with hexcodes so they can easily be copied and looked up.
Using Style Tiles
- Label everything! Colors with hexcodes. Fonts with font styles and sizes.
- Use whitespace to put space in between each design element.
Saving Images Correctly
- Always use JPEG or JPG for photography.
- GIF is typically the smallest size.
- Never use PNG-8 use PNG-24 instead.
- JPEG GIF and PNG are Not Scalable. They will get pixilated.
Accessibility/Usability
- Check with blindness test to validate usability.
- Add alternate fonts and colors so that if the users computer does not have the font/color you programmed, the browser loads the alternative.
- Add text alternatives for images that will appear if the image does not load or if the user is using a text to speech device.
Code Validation
- Always check code validation on HTML and CSS.
- Make corrections accordingly.
Git/Terminal
- NEVER "git init" in your Home Directory.
- Add, Commit, Push!
- Always add a comment to the commit command. Make your comments descriptive
SASS
- The command for sass watch is: sass --watch "style.scss"
- Run sass watch from the project folder... do not have your scss file in a "spreadsheets" folder


Wikipedia, All rights reserved.
Wikipedia community
Wikipedia (pronounced /ˌwiːkiˈpiːdiə/, WEE-kee-PEE-deeə or /ˌwɪkɨˈpiːdiə/, WI-kə-PEE-deeə) is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Its name is a portmanteau of the words wiki (a technology for creating collaborative websites, from the Hawaiian word wiki, meaning "quick") and encyclopedia. Wikipedia's 13 million articles (three million in the English Wikipedia) have been written collaboratively by volunteers around the world, and almost all of its articles can be edited by anyone with access to the site. Launched in 2001 by Jimmy Wales and Larry Sanger, it is currently the largest and most popular general reference work on the Internet.
Wikipedia (pronounced /ˌwiːkiˈpiːdiə/, WEE-kee-PEE-deeə or /ˌwɪkɨˈpiːdiə/, WI-kə-PEE-deeə) is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Its name is a portmanteau of the words wiki (a technology for creating collaborative websites, from the Hawaiian word wiki, meaning “quick”) and encyclopedia. Wikipedia’s 13 million articles (three million in the English Wikipedia) have been written collaboratively by volunteers around the world, and almost all of its articles can be edited by anyone with access to the site. Launched in 2001 by Jimmy Wales and Larry Sanger, it is currently the largest and most popular general reference work on the Internet.


Capitals’ Hathaway suspended 3 games for spitting
by Associated PressWashington Capitals forward Garnet Hathaway has been suspended three games for spitting on an opponent.
The NHL announced Hathaway’s suspension Wednesday after a hearing with him. He will forfeit $24,194 in salary.
Toward the end of a heated brawl between the Capitals and Ducks on Monday night, Hathaway responded to a rabbit punch from Erik Gudbranson by spitting on the Anaheim defenseman. Hathaway was ejected with a match penalty that carried with it an automatic suspending pending review by the league.
Hathaway said he regretted spitting on Gudbranson and called it an emotional moment. He will miss Washington’s games against the New York Rangers, Vancouver Canucks and Florida Panthers.
The 27-year-old has been a strong addition to the Capitals since they signed him in July. With Washington in salary cap trouble because of injuries and the suspension, the team put winger Carl Hagelin on long-term injured reserve and Nic Dowd on injured reserve and recalled two minor league forwards to play Wednesday night at New York.


Use the tool below to find your congressperson. Then, call or email them and either show them appreciation for opposing this bill or chastise them for supporting it.
Please enter a 5 digit zip code.


This year's foopball World Cup coincided with the Hooting Yard shutdown, which means I have neglected to keep you lot apprised of the choice witterings of commentators. Each time there is a big foopball tournament, we find ourselves wondering if one of the TV babblers will say anything to match that classic observation from 2010 : “For a moment there, he looked like a baby gazelle who'd just plopped out of the womb.”
My favourite moment from this year came early in the contest. Commenting on one of the Argentinian players, the BBC man said : “He's five-foot-five, the same height as Kirsten Dunst. A dangerous little winger.”
Was he in possession of a chart matching the heights of foopballers to Hollywood stars? Or is a foopballer's height relative to Kirsten Dunst a standard measure? These questions were never answered, more's the pity.


Critical Analysis #3
by Galaxyrtk
I missed the FIM mint. After seeing the outputs, I remember pulling open my laptop in the middle of the Columbus, Ohio where I was visiting from London for Capital Camp, and rushing to buy secondary from my phone’s hotspot. There was something deeply amusing about the fact that I was at a finance/tech conference, and stopped in the middle of the street to buy “Fake Internet Money”. In my rush, I very nearly bought “fake” Fake Internet Money on OpenSea, and chuckled at how ironic it would be if I bought fake FIM … would that make it all real?
Value is a collective myth. I love how FIM leaned into this concept from the outset with the pyramid scheme ethos of its early distribution, playing on the reality that everything is a pyramid scheme … until it isn’t. While we grasp for foundational anchors of value, the tides can just as swiftly change overnight, and it’s almost better to start unmoored entirely, with a foundational layer of value that is so overtly valueless, that perhaps it will represent the underpinnings of some more stable base.
One of the most incredible things in watching the growth of defi and algorithmic stablecoins has been the concept of value collateralized by belief collateralized by belief. Once you pass the third derivative of expectation, something funny happens to the brain. It loses the ability to disentangle reality from fiction, and somehow the fiction becomes reality. And in that recursion, is there a hint of some permanent reality or is it all just weight that will collapse unto itself?
Maybe it’s all just art, not science. Maybe it’s all just … Fake Internet Money. And that is as real as anything in this crazy world.


Choose a test generator in the side bar
Upload or copy past the json file generated by truffle after the compilation
Click on "Generate"
Enjoy!
Each function comes with a todo comment //TODO TOCHECK
Therefore you can check every generated function and find the one you checked one easily
Some functions need additional coding to be used
With functions that return nothing, you can use events to watch the results.
Simply copy past the right event from the "Events" code generated and update the name.


We're award winning UX/UI Design Agency for creativity.

The ideas which we design are original
This takes the data from the Behance views of 7 latest projects and compares them in the pie chart.


| readPreference {rstudioapi} | R Documentation |
Reads a user preference, useful to remember preferences across different R sessions for the same user.
readPreference(name, default)
name |
The name of the preference. |
default |
The default value to use when the preference is not available. |
User preferences can have arbitrary names and values. You must write the
preference with writePreference
before it can be read
(otherwise its default value will be returned).
The readPreference
function was added in version 1.1.67 of
RStudio.
readRStudioPreference
, which reads RStudio IDE
preferences.


cfb_rankings.Rd
Postseason polls are after Week 13
cfb_rankings(year, week = NULL, season_type = "regular")
| year | (Integer required): Year, 4 digit format (YYYY) |
|---|---|
| week | (Integer optional): Week, values from 1-15, 1-14 for seasons pre-playoff (i.e. 2013 or earlier) |
| season_type | (String default regular): Season type - regular or postseason |
https://api.collegefootballdata.com/rankings
A data frame with 9 variables:
season
integer.
season_type
character.
week
integer.
poll
character.
rank
integer.
school
character.
conference
character.
first_place_votes
integer.
points
integer.
cfb_rankings(year = 2019, week = 12)#>#> season season_type week poll rank #> 1 2019 regular 12 AP Top 25 1 #> 2 2019 regular 12 AP Top 25 2 #> 3 2019 regular 12 AP Top 25 3 #> 4 2019 regular 12 AP Top 25 4 #> 5 2019 regular 12 AP Top 25 5 #> 6 2019 regular 12 AP Top 25 6 #> 7 2019 regular 12 AP Top 25 7 #> 8 2019 regular 12 AP Top 25 8 #> 9 2019 regular 12 AP Top 25 9 #> 10 2019 regular 12 AP Top 25 10 #> 11 2019 regular 12 AP Top 25 11 #> 12 2019 regular 12 AP Top 25 12 #> 13 2019 regular 12 AP Top 25 13 #> 14 2019 regular 12 AP Top 25 14 #> 15 2019 regular 12 AP Top 25 15 #> 16 2019 regular 12 AP Top 25 16 #> 17 2019 regular 12 AP Top 25 17 #> 18 2019 regular 12 AP Top 25 18 #> 19 2019 regular 12 AP Top 25 19 #> 20 2019 regular 12 AP Top 25 20 #> 21 2019 regular 12 AP Top 25 21 #> 22 2019 regular 12 AP Top 25 22 #> 23 2019 regular 12 AP Top 25 23 #> 24 2019 regular 12 AP Top 25 24 #> 25 2019 regular 12 AP Top 25 25 #> 26 2019 regular 12 Coaches Poll 1 #> 27 2019 regular 12 Coaches Poll 2 #> 28 2019 regular 12 Coaches Poll 3 #> 29 2019 regular 12 Coaches Poll 4 #> 30 2019 regular 12 Coaches Poll 5 #> 31 2019 regular 12 Coaches Poll 6 #> 32 2019 regular 12 Coaches Poll 7 #> 33 2019 regular 12 Coaches Poll 8 #> 34 2019 regular 12 Coaches Poll 9 #> 35 2019 regular 12 Coaches Poll 10 #> 36 2019 regular 12 Coaches Poll 11 #> 37 2019 regular 12 Coaches Poll 12 #> 38 2019 regular 12 Coaches Poll 13 #> 39 2019 regular 12 Coaches Poll 14 #> 40 2019 regular 12 Coaches Poll 15 #> 41 2019 regular 12 Coaches Poll 16 #> 42 2019 regular 12 Coaches Poll 17 #> 43 2019 regular 12 Coaches Poll 18 #> 44 2019 regular 12 Coaches Poll 19 #> 45 2019 regular 12 Coaches Poll 20 #> 46 2019 regular 12 Coaches Poll 21 #> 47 2019 regular 12 Coaches Poll 22 #> 48 2019 regular 12 Coaches Poll 23 #> 49 2019 regular 12 Coaches Poll 24 #> 50 2019 regular 12 Coaches Poll 25 #> 51 2019 regular 12 FCS Coaches Poll 1 #> 52 2019 regular 12 FCS Coaches Poll 2 #> 53 2019 regular 12 FCS Coaches Poll 3 #> 54 2019 regular 12 FCS Coaches Poll 4 #> 55 2019 regular 12 FCS Coaches Poll 5 #> 56 2019 regular 12 FCS Coaches Poll 6 #> 57 2019 regular 12 FCS Coaches Poll 7 #> 58 2019 regular 12 FCS Coaches Poll 8 #> 59 2019 regular 12 FCS Coaches Poll 9 #> 60 2019 regular 12 FCS Coaches Poll 10 #> 61 2019 regular 12 FCS Coaches Poll 11 #> 62 2019 regular 12 FCS Coaches Poll 12 #> 63 2019 regular 12 FCS Coaches Poll 13 #> 64 2019 regular 12 FCS Coaches Poll 14 #> 65 2019 regular 12 FCS Coaches Poll 15 #> 66 2019 regular 12 FCS Coaches Poll 16 #> 67 2019 regular 12 FCS Coaches Poll 17 #> 68 2019 regular 12 FCS Coaches Poll 18 #> 69 2019 regular 12 FCS Coaches Poll 19 #> 70 2019 regular 12 FCS Coaches Poll 20 #> 71 2019 regular 12 FCS Coaches Poll 21 #> 72 2019 regular 12 FCS Coaches Poll 22 #> 73 2019 regular 12 FCS Coaches Poll 23 #> 74 2019 regular 12 FCS Coaches Poll 24 #> 75 2019 regular 12 FCS Coaches Poll 25 #> 76 2019 regular 12 Playoff Committee Rankings 1 #> 77 2019 regular 12 Playoff Committee Rankings 2 #> 78 2019 regular 12 Playoff Committee Rankings 3 #> 79 2019 regular 12 Playoff Committee Rankings 4 #> 80 2019 regular 12 Playoff Committee Rankings 5 #> 81 2019 regular 12 Playoff Committee Rankings 6 #> 82 2019 regular 12 Playoff Committee Rankings 7 #> 83 2019 regular 12 Playoff Committee Rankings 8 #> 84 2019 regular 12 Playoff Committee Rankings 9 #> 85 2019 regular 12 Playoff Committee Rankings 10 #> 86 2019 regular 12 Playoff Committee Rankings 11 #> 87 2019 regular 12 Playoff Committee Rankings 12 #> 88 2019 regular 12 Playoff Committee Rankings 13 #> 89 2019 regular 12 Playoff Committee Rankings 14 #> 90 2019 regular 12 Playoff Committee Rankings 15 #> 91 2019 regular 12 Playoff Committee Rankings 16 #> 92 2019 regular 12 Playoff Committee Rankings 17 #> 93 2019 regular 12 Playoff Committee Rankings 18 #> 94 2019 regular 12 Playoff Committee Rankings 19 #> 95 2019 regular 12 Playoff Committee Rankings 20 #> 96 2019 regular 12 Playoff Committee Rankings 21 #> 97 2019 regular 12 Playoff Committee Rankings 22 #> 98 2019 regular 12 Playoff Committee Rankings 23 #> 99 2019 regular 12 Playoff Committee Rankings 24 #> 100 2019 regular 12 Playoff Committee Rankings 25 #> school conference first_place_votes points #> 1 LSU SEC 54 1542 #> 2 Ohio State Big Ten 5 1480 #> 3 Clemson ACC 3 1441 #> 4 Alabama SEC 0 1312 #> 5 Georgia SEC 0 1267 #> 6 Oregon Pac-12 0 1224 #> 7 Minnesota Big Ten 0 1164 #> 8 Utah Pac-12 0 1099 #> 9 Penn State Big Ten 0 1003 #> 10 Oklahoma Big 12 0 1000 #> 11 Florida SEC 0 934 #> 12 Baylor Big 12 0 932 #> 13 Auburn SEC 0 871 #> 14 Michigan Big Ten 0 744 #> 15 Wisconsin Big Ten 0 657 #> 16 Notre Dame FBS Independents 0 593 #> 17 Cincinnati American Athletic 0 567 #> 18 Memphis American Athletic 0 510 #> 19 Boise State Mountain West 0 371 #> 20 SMU American Athletic 0 346 #> 21 Navy American Athletic 0 228 #> 22 Texas Big 12 0 199 #> 23 Iowa Big Ten 0 197 #> 24 Indiana Big Ten 0 108 #> 25 Oklahoma State Big 12 0 77 #> 26 LSU SEC 55 1591 #> 27 Ohio State Big Ten 5 1523 #> 28 Clemson ACC 4 1491 #> 29 Alabama SEC 0 1356 #> 30 Georgia SEC 0 1327 #> 31 Oregon Pac-12 0 1269 #> 32 Minnesota Big Ten 0 1154 #> 33 Oklahoma Big 12 0 1128 #> 34 Utah Pac-12 0 1096 #> 35 Baylor Big 12 0 1028 #> 36 Penn State Big Ten 0 942 #> 37 Florida SEC 0 937 #> 38 Auburn SEC 0 863 #> 39 Michigan Big Ten 0 731 #> 40 Wisconsin Big Ten 0 670 #> 41 Notre Dame FBS Independents 0 659 #> 42 Cincinnati American Athletic 0 590 #> 43 Memphis American Athletic 0 517 #> 44 Boise State Mountain West 0 452 #> 45 SMU American Athletic 0 326 #> 46 Navy American Athletic 0 249 #> 47 Iowa Big Ten 0 187 #> 48 Texas Big 12 0 163 #> 49 Appalachian State Sun Belt 0 133 #> 50 Indiana Big Ten 0 123 #> 51 North Dakota State <NA> 26 650 #> 52 James Madison <NA> 0 624 #> 53 Weber State <NA> 0 575 #> 54 Montana <NA> 0 561 #> 55 Northern Iowa <NA> 0 539 #> 56 Sacramento State <NA> 0 508 #> 57 Furman <NA> 0 467 #> 58 Illinois State <NA> 0 450 #> 59 South Dakota State <NA> 0 425 #> 60 Montana State <NA> 0 366 #> 61 Kennesaw State <NA> 0 365 #> 62 Dartmouth <NA> 0 364 #> 63 Central Arkansas <NA> 0 300 #> 64 Florida A&M <NA> 0 285 #> 65 Monmouth <NA> 0 256 #> 66 Villanova <NA> 0 246 #> 67 Southeast Missouri State <NA> 0 244 #> 68 Central Connecticut <NA> 0 236 #> 69 Princeton <NA> 0 203 #> 70 Wofford <NA> 0 157 #> 71 Towson <NA> 0 146 #> 72 Austin Peay <NA> 0 139 #> 73 Southeastern Louisiana <NA> 0 83 #> 74 Nicholls <NA> 0 53 #> 75 North Carolina A&T <NA> 0 40 #> 76 LSU SEC 0 0 #> 77 Ohio State Big Ten 0 0 #> 78 Clemson ACC 0 0 #> 79 Georgia SEC 0 0 #> 80 Alabama SEC 0 0 #> 81 Oregon Pac-12 0 0 #> 82 Utah Pac-12 0 0 #> 83 Minnesota Big Ten 0 0 #> 84 Penn State Big Ten 0 0 #> 85 Oklahoma Big 12 0 0 #> 86 Florida SEC 0 0 #> 87 Auburn SEC 0 0 #> 88 Baylor Big 12 0 0 #> 89 Wisconsin Big Ten 0 0 #> 90 Michigan Big Ten 0 0 #> 91 Notre Dame FBS Independents 0 0 #> 92 Cincinnati American Athletic 0 0 #> 93 Memphis American Athletic 0 0 #> 94 Texas Big 12 0 0 #> 95 Iowa Big Ten 0 0 #> 96 Boise State Mountain West 0 0 #> 97 Oklahoma State Big 12 0 0 #> 98 Navy American Athletic 0 0 #> 99 Kansas State Big 12 0 0 #> 100 Appalachian State Sun Belt 0 0cfb_rankings(year = 2018, week = 14)#>#> season season_type week poll rank school #> 1 2018 regular 14 AP Top 25 1 Alabama #> 2 2018 regular 14 AP Top 25 2 Clemson #> 3 2018 regular 14 AP Top 25 3 Notre Dame #> 4 2018 regular 14 AP Top 25 4 Georgia #> 5 2018 regular 14 AP Top 25 5 Oklahoma #> 6 2018 regular 14 AP Top 25 6 Ohio State #> 7 2018 regular 14 AP Top 25 7 UCF #> 8 2018 regular 14 AP Top 25 8 Michigan #> 9 2018 regular 14 AP Top 25 9 Texas #> 10 2018 regular 14 AP Top 25 10 Washington #> 11 2018 regular 14 AP Top 25 11 Florida #> 12 2018 regular 14 AP Top 25 12 LSU #> 13 2018 regular 14 AP Top 25 12 Washington State #> 14 2018 regular 14 AP Top 25 14 Penn State #> 15 2018 regular 14 AP Top 25 15 West Virginia #> 16 2018 regular 14 AP Top 25 16 Kentucky #> 17 2018 regular 14 AP Top 25 17 Utah #> 18 2018 regular 14 AP Top 25 18 Syracuse #> 19 2018 regular 14 AP Top 25 19 Boise State #> 20 2018 regular 14 AP Top 25 20 Mississippi State #> 21 2018 regular 14 AP Top 25 21 Northwestern #> 22 2018 regular 14 AP Top 25 22 Texas A&M #> 23 2018 regular 14 AP Top 25 23 Army #> 24 2018 regular 14 AP Top 25 24 Iowa State #> 25 2018 regular 14 AP Top 25 25 Fresno State #> 26 2018 regular 14 Coaches Poll 1 Alabama #> 27 2018 regular 14 Coaches Poll 2 Clemson #> 28 2018 regular 14 Coaches Poll 3 Notre Dame #> 29 2018 regular 14 Coaches Poll 4 Georgia #> 30 2018 regular 14 Coaches Poll 5 Oklahoma #> 31 2018 regular 14 Coaches Poll 6 Ohio State #> 32 2018 regular 14 Coaches Poll 7 UCF #> 33 2018 regular 14 Coaches Poll 8 Michigan #> 34 2018 regular 14 Coaches Poll 9 Texas #> 35 2018 regular 14 Coaches Poll 10 Florida #> 36 2018 regular 14 Coaches Poll 11 Washington #> 37 2018 regular 14 Coaches Poll 12 Penn State #> 38 2018 regular 14 Coaches Poll 13 Washington State #> 39 2018 regular 14 Coaches Poll 14 LSU #> 40 2018 regular 14 Coaches Poll 15 Kentucky #> 41 2018 regular 14 Coaches Poll 16 West Virginia #> 42 2018 regular 14 Coaches Poll 17 Utah #> 43 2018 regular 14 Coaches Poll 18 Syracuse #> 44 2018 regular 14 Coaches Poll 19 Mississippi State #> 45 2018 regular 14 Coaches Poll 20 Boise State #> 46 2018 regular 14 Coaches Poll 21 Northwestern #> 47 2018 regular 14 Coaches Poll 22 Texas A&M #> 48 2018 regular 14 Coaches Poll 23 Fresno State #> 49 2018 regular 14 Coaches Poll 24 Utah State #> 50 2018 regular 14 Coaches Poll 25 Army #> 51 2018 regular 14 Playoff Committee Rankings 1 Alabama #> 52 2018 regular 14 Playoff Committee Rankings 2 Clemson #> 53 2018 regular 14 Playoff Committee Rankings 3 Notre Dame #> 54 2018 regular 14 Playoff Committee Rankings 4 Georgia #> 55 2018 regular 14 Playoff Committee Rankings 5 Oklahoma #> 56 2018 regular 14 Playoff Committee Rankings 6 Ohio State #> 57 2018 regular 14 Playoff Committee Rankings 7 Michigan #> 58 2018 regular 14 Playoff Committee Rankings 8 UCF #> 59 2018 regular 14 Playoff Committee Rankings 9 Florida #> 60 2018 regular 14 Playoff Committee Rankings 10 LSU #> 61 2018 regular 14 Playoff Committee Rankings 11 Washington #> 62 2018 regular 14 Playoff Committee Rankings 12 Penn State #> 63 2018 regular 14 Playoff Committee Rankings 13 Washington State #> 64 2018 regular 14 Playoff Committee Rankings 14 Texas #> 65 2018 regular 14 Playoff Committee Rankings 15 Kentucky #> 66 2018 regular 14 Playoff Committee Rankings 16 West Virginia #> 67 2018 regular 14 Playoff Committee Rankings 17 Utah #> 68 2018 regular 14 Playoff Committee Rankings 18 Mississippi State #> 69 2018 regular 14 Playoff Committee Rankings 19 Texas A&M #> 70 2018 regular 14 Playoff Committee Rankings 20 Syracuse #> 71 2018 regular 14 Playoff Committee Rankings 21 Northwestern #> 72 2018 regular 14 Playoff Committee Rankings 22 Boise State #> 73 2018 regular 14 Playoff Committee Rankings 23 Iowa State #> 74 2018 regular 14 Playoff Committee Rankings 24 Missouri #> 75 2018 regular 14 Playoff Committee Rankings 25 Fresno State #> conference first_place_votes points #> 1 SEC 61 1525 #> 2 ACC 0 1458 #> 3 FBS Independents 0 1409 #> 4 SEC 0 1336 #> 5 Big 12 0 1266 #> 6 Big Ten 0 1229 #> 7 American Athletic 0 1146 #> 8 Big Ten 0 1058 #> 9 Big 12 0 959 #> 10 Pac-12 0 897 #> 11 SEC 0 876 #> 12 SEC 0 818 #> 13 Pac-12 0 818 #> 14 Big Ten 0 751 #> 15 Big 12 0 672 #> 16 SEC 0 602 #> 17 Pac-12 0 536 #> 18 ACC 0 475 #> 19 Mountain West 0 409 #> 20 SEC 0 324 #> 21 Big Ten 0 322 #> 22 SEC 0 283 #> 23 FBS Independents 0 169 #> 24 Big 12 0 116 #> 25 Mountain West 0 102 #> 26 SEC 63 1599 #> 27 ACC 1 1536 #> 28 FBS Independents 0 1469 #> 29 SEC 0 1398 #> 30 Big 12 0 1324 #> 31 Big Ten 0 1292 #> 32 American Athletic 0 1200 #> 33 Big Ten 0 1041 #> 34 Big 12 0 939 #> 35 SEC 0 937 #> 36 Pac-12 0 921 #> 37 Big Ten 0 889 #> 38 Pac-12 0 829 #> 39 SEC 0 821 #> 40 SEC 0 634 #> 41 Big 12 0 621 #> 42 Pac-12 0 610 #> 43 ACC 0 499 #> 44 SEC 0 460 #> 45 Mountain West 0 375 #> 46 Big Ten 0 363 #> 47 SEC 0 295 #> 48 Mountain West 0 157 #> 49 Mountain West 0 130 #> 50 FBS Independents 0 119 #> 51 SEC 0 0 #> 52 ACC 0 0 #> 53 FBS Independents 0 0 #> 54 SEC 0 0 #> 55 Big 12 0 0 #> 56 Big Ten 0 0 #> 57 Big Ten 0 0 #> 58 American Athletic 0 0 #> 59 SEC 0 0 #> 60 SEC 0 0 #> 61 Pac-12 0 0 #> 62 Big Ten 0 0 #> 63 Pac-12 0 0 #> 64 Big 12 0 0 #> 65 SEC 0 0 #> 66 Big 12 0 0 #> 67 Pac-12 0 0 #> 68 SEC 0 0 #> 69 SEC 0 0 #> 70 ACC 0 0 #> 71 Big Ten 0 0 #> 72 Mountain West 0 0 #> 73 Big 12 0 0 #> 74 SEC 0 0 #> 75 Mountain West 0 0cfb_rankings(year = 2013, season_type = 'postseason')#>#> season season_type week poll rank #> 1 2013 postseason 1 AFCA Division II Coaches Poll 1 #> 2 2013 postseason 1 AFCA Division II Coaches Poll 2 #> 3 2013 postseason 1 AFCA Division II Coaches Poll 3 #> 4 2013 postseason 1 AFCA Division II Coaches Poll 4 #> 5 2013 postseason 1 AFCA Division II Coaches Poll 5 #> 6 2013 postseason 1 AFCA Division II Coaches Poll 6 #> 7 2013 postseason 1 AFCA Division II Coaches Poll 7 #> 8 2013 postseason 1 AFCA Division II Coaches Poll 8 #> 9 2013 postseason 1 AFCA Division II Coaches Poll 9 #> 10 2013 postseason 1 AFCA Division II Coaches Poll 10 #> 11 2013 postseason 1 AFCA Division II Coaches Poll 11 #> 12 2013 postseason 1 AFCA Division II Coaches Poll 12 #> 13 2013 postseason 1 AFCA Division II Coaches Poll 13 #> 14 2013 postseason 1 AFCA Division II Coaches Poll 14 #> 15 2013 postseason 1 AFCA Division II Coaches Poll 15 #> 16 2013 postseason 1 AFCA Division II Coaches Poll 16 #> 17 2013 postseason 1 AFCA Division II Coaches Poll 17 #> 18 2013 postseason 1 AFCA Division II Coaches Poll 18 #> 19 2013 postseason 1 AFCA Division II Coaches Poll 19 #> 20 2013 postseason 1 AFCA Division II Coaches Poll 20 #> 21 2013 postseason 1 AFCA Division II Coaches Poll 21 #> 22 2013 postseason 1 AFCA Division II Coaches Poll 22 #> 23 2013 postseason 1 AFCA Division II Coaches Poll 23 #> 24 2013 postseason 1 AFCA Division II Coaches Poll 24 #> 25 2013 postseason 1 AFCA Division II Coaches Poll 25 #> 26 2013 postseason 1 AP Top 25 1 #> 27 2013 postseason 1 AP Top 25 2 #> 28 2013 postseason 1 AP Top 25 3 #> 29 2013 postseason 1 AP Top 25 4 #> 30 2013 postseason 1 AP Top 25 5 #> 31 2013 postseason 1 AP Top 25 6 #> 32 2013 postseason 1 AP Top 25 7 #> 33 2013 postseason 1 AP Top 25 8 #> 34 2013 postseason 1 AP Top 25 9 #> 35 2013 postseason 1 AP Top 25 10 #> 36 2013 postseason 1 AP Top 25 11 #> 37 2013 postseason 1 AP Top 25 12 #> 38 2013 postseason 1 AP Top 25 13 #> 39 2013 postseason 1 AP Top 25 14 #> 40 2013 postseason 1 AP Top 25 15 #> 41 2013 postseason 1 AP Top 25 16 #> 42 2013 postseason 1 AP Top 25 17 #> 43 2013 postseason 1 AP Top 25 18 #> 44 2013 postseason 1 AP Top 25 19 #> 45 2013 postseason 1 AP Top 25 20 #> 46 2013 postseason 1 AP Top 25 21 #> 47 2013 postseason 1 AP Top 25 22 #> 48 2013 postseason 1 AP Top 25 23 #> 49 2013 postseason 1 AP Top 25 24 #> 50 2013 postseason 1 AP Top 25 25 #> 51 2013 postseason 1 Coaches Poll 1 #> 52 2013 postseason 1 Coaches Poll 2 #> 53 2013 postseason 1 Coaches Poll 3 #> 54 2013 postseason 1 Coaches Poll 4 #> 55 2013 postseason 1 Coaches Poll 5 #> 56 2013 postseason 1 Coaches Poll 6 #> 57 2013 postseason 1 Coaches Poll 7 #> 58 2013 postseason 1 Coaches Poll 8 #> 59 2013 postseason 1 Coaches Poll 9 #> 60 2013 postseason 1 Coaches Poll 10 #> 61 2013 postseason 1 Coaches Poll 10 #> 62 2013 postseason 1 Coaches Poll 12 #> 63 2013 postseason 1 Coaches Poll 13 #> 64 2013 postseason 1 Coaches Poll 14 #> 65 2013 postseason 1 Coaches Poll 15 #> 66 2013 postseason 1 Coaches Poll 16 #> 67 2013 postseason 1 Coaches Poll 17 #> 68 2013 postseason 1 Coaches Poll 18 #> 69 2013 postseason 1 Coaches Poll 19 #> 70 2013 postseason 1 Coaches Poll 20 #> 71 2013 postseason 1 Coaches Poll 21 #> 72 2013 postseason 1 Coaches Poll 22 #> 73 2013 postseason 1 Coaches Poll 23 #> 74 2013 postseason 1 Coaches Poll 24 #> 75 2013 postseason 1 Coaches Poll 25 #> school conference first_place_votes points #> 1 Northwest Missouri State <NA> 32 0 #> 2 Lenoir-Rhyne <NA> 0 0 #> 3 Grand Valley State <NA> 0 0 #> 4 West Chester <NA> 0 0 #> 5 St. Cloud State <NA> 0 0 #> 6 Minnesota State <NA> 0 0 #> 7 Colorado State-Pueblo <NA> 0 0 #> 8 Minnesota-Duluth <NA> 0 0 #> 9 Shepherd <NA> 0 0 #> 10 North Alabama <NA> 0 0 #> 11 West Texas A&M <NA> 0 0 #> 12 Ohio Dominican <NA> 0 0 #> 13 Henderson State <NA> 0 0 #> 14 Winston-Salem <NA> 0 0 #> 15 UNC Pembroke <NA> 0 0 #> 16 Bloomsburg <NA> 0 0 #> 17 Carson-Newman <NA> 0 0 #> 18 Indianapolis <NA> 0 0 #> 19 Pittsburg State <NA> 0 0 #> 20 Emporia State <NA> 0 0 #> 21 Slippery Rock <NA> 0 0 #> 22 Saginaw Valley <NA> 0 0 #> 23 Newberry <NA> 0 0 #> 24 Indiana (PA) <NA> 0 0 #> 25 Tuskegee <NA> 0 0 #> 26 Florida State ACC 60 0 #> 27 Auburn SEC 0 0 #> 28 Michigan State Big Ten 0 0 #> 29 South Carolina SEC 0 0 #> 30 Missouri SEC 0 0 #> 31 Oklahoma Big 12 0 0 #> 32 Alabama SEC 0 0 #> 33 Clemson ACC 0 0 #> 34 Oregon Pac-12 0 0 #> 35 UCF American Athletic 0 0 #> 36 Stanford Pac-12 0 0 #> 37 Ohio State Big Ten 0 0 #> 38 Baylor Big 12 0 0 #> 39 LSU SEC 0 0 #> 40 Louisville American Athletic 0 0 #> 41 UCLA Pac-12 0 0 #> 42 Oklahoma State Big 12 0 0 #> 43 Texas A&M SEC 0 0 #> 44 USC Pac-12 0 0 #> 45 Notre Dame FBS Independents 0 0 #> 46 Arizona State Pac-12 0 0 #> 47 Wisconsin Big Ten 0 0 #> 48 Duke ACC 0 0 #> 49 Vanderbilt SEC 0 0 #> 50 Washington Pac-12 0 0 #> 51 Florida State ACC 59 1475 #> 52 Auburn SEC 0 1388 #> 53 Michigan State Big Ten 0 1375 #> 54 South Carolina SEC 0 1219 #> 55 Missouri SEC 0 1200 #> 56 Oklahoma Big 12 0 1189 #> 57 Clemson ACC 0 1091 #> 58 Alabama SEC 0 1086 #> 59 Oregon Pac-12 0 975 #> 60 Ohio State Big Ten 0 872 #> 61 Stanford Pac-12 0 872 #> 62 UCF American Athletic 0 865 #> 63 Baylor Big 12 0 796 #> 64 LSU SEC 0 719 #> 65 Louisville American Athletic 0 703 #> 66 UCLA Pac-12 0 597 #> 67 Oklahoma State Big 12 0 587 #> 68 Texas A&M SEC 0 443 #> 69 USC Pac-12 0 313 #> 70 Arizona State Pac-12 0 302 #> 71 Wisconsin Big Ten 0 266 #> 72 Duke ACC 0 202 #> 73 Vanderbilt SEC 0 180 #> 74 Notre Dame FBS Independents 0 125 #> 75 Nebraska Big Ten 0 123


Natalie's a rocking babysitter. I have this from reputable sources (i.e. Coraline)
5/16/2009, 11:15:05 PM
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link--- layout: tweet ---
Natalie's a rocking babysitter. I have this from reputable sources (i.e. Coraline)
5/16/2009, 11:15:05 PM
Favs: 0
Retweets: 0
link


--- layout: page ---
Hi, my name is Clément Rondeau and I'm a passionate game developer.
I love to learn and try new things and I spend a lot of my time to develop different kind of things, mainly games. I'm not attached to any technology, it's always good to see what is great in another language and grow our programming knowledge.
When I'm not programming I'm mainly playing video games, or in my kitchen trying new foreign dishes to eat with my family or friend. If it's not too cold outside (who run during the winter ?!) I might be exercising. I also like to watch movies and take inspiration in books or anime.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/mu2.html ---
mu2 is the inductive type with two terms: 1 and -1. It is closed under negation, multiplication, and power. This type casts to int as well as zmodp, and is injective as long as p is an odd prime. It can also be cast to the units of ang ring. This type can be used in defining the sign of a permutation, as well as for proving quadratic reciprocity. Without this type, we would need 1000 auxiliary lemmas in the form of (? = 1 or ? = -1). Are these reasons good enough to define this type?
It's already there and called units int
Then why didn’t you use it in your QR proof?
you used cases 4 times consecutively and produced 16 goals
I should have used it to define legendre sym?
legendre symbol can be 0, so don’t replace it with another definition. Instead, define another partial legendre symbol and prove that they are equal
do you have a better idea?
I don't see what problem this solves.
The legende_symbol takes values in with_zero (units int)
I don't see what problem this solves.
That said, I didn't give this issue that much thought, and it may well be better to change it. It will probably be changed if anyone wants to generalize stuff, and do the Jacobi symbol.
@Kenny Lau def μ₂ := bool
. Does that work?
Why would you define it again when there's already units int
?
Because inductive types are pretty to work with?
You can always define a units_int.rec_on
, that looks exactly like what mu2.rec_on
would look like. mu2.rec_on
wouldn't even be that nice, because it would split it into the cases mu2.one
and mu2.neg_one
, not has_one.one
and has_neg.neg has_one.one
These are interesting questions. They are pure implementation issues so as a mathematician with 30 years of experience I find that I have nothing to say. I guess one thing I don't understand is why it even matters. You make a random implementation decision and then you prove all the lemmas you need for your interface, and then who cares how the type is defined. Right? [I'm assuming not]
I don't suggest using with_zero (units int)
, it doesn't interact with other numeric types well enough, I think
I would just use int
and prove that it has absolute value <= 1, or it is a unit if not zero, or something like that
Just use X [has_one X] [has_mul X] [has_neg X]
Last updated: Apr 24 2020 at 19:02 UTC


API Documentation
Orders
Creating an order
Deleting an order
Getting a list of orders
Getting a specific order
Updating an order


--- layout: default title: Ravi Sanku, Not so a Horrible Cop 007 ---
I'm best known as not so horrible cop 007 from A Touch. of -----Evil Don't trust me. Read more about my life...


"The details are not the details, they make the design."
- Charles Eames
Portfolio
Click on pictures to explore.
Child's Bathroom
Owner's Club
Condo Kitchen
City Loft
Single Family Home
Passive House
Shipping Container Home
About Noelle Britton
I have had a life long curiosity about architecture and interior
design. I left my corporate job in 2016 to pursue my creative passion and obtain a certificate in Interior
Design. Although successful in my industrial marketing career, I have realized the most rewarding aspects of
my work are on the creative side of business. Therefore, I took a leap of faith to pursue a profession,
which combines the multi-faceted functions of my passion - DESIGN.
Key skill sets and competencies:
- Design narrative & inspiration
- Precedence plans
- Site plan
- Color palette
- Space & traffic planning
- Floor & furniture plan
- Exterior & interior elevations and sections
- Lighting plan
- Finishes selection
- Furniture selection
- Landscape design, plan & plant selection
- Vendor selection & management
Education
- 1994 BA Liberal Arts, DePaul University
- 2018 Certificate, Interior Design, School of the Art Institute
of Chicago
Work History
2018-Present - Owner & Head Designer - NoMi Design
2016 - Global Vice President of Marketing - Dover Corporation
2013-2016 - Global Vice President of Marketing - Pall
Corporation
2003-2013 - Global Director of Marketing - Siemens
2001-2003 - Product Development Director - Drake International
2000-2001 - Global Portal Director - Newell Rubbermaid
1999-2000 - Director of Electronic Commerce - Sun Healthcare Group
1991-1999 - Marketing Manager - W.W. Grainger Inc.
Hypothetical couple seeking to renovate a row home to ensure the floor plan fits the family needs. A
hypothetical architect has designed the overall floor plan and has turned over the boy’s bathroom
layout and design to the interior designer (student role).
Description of work:
- Inspiration
- Color palette
- Space & traffic planning
- Floor & furniture plan
- Lighting plan
- Finishes selection
Passive House
Chicago, IL
Hypothetical architect and builder have desgined the overall floor plan and have turned over the
first floor layout to the interior designer (student role).
Description of work:
- Inspiration
- Floor plan
- Interior elevations and sections
- Color palette
- Space & traffic planning
- Floor & furniture planning
- Lighting plan
- Finishes selection
- Furniture selection
Shipping Container Home
Plano, IL
Hypothetical fmaily of three seeking a get-away, holiday home from city living.
Description of work:
- Design narrative & inspiration
- Initial design sketches & massing model
- Precedence planning
- Site & floor plan
- Exterior elevations
- Interior elevations & sections
- Color palette
- Space & traffic planning
- Floor & furniture planning
- Lighting plan
Owner's Club
Chicago, IL
Property management firm wanted to update the existing Owner's Club design and decoration since it
was last updated over ten years prior.
Description of work:
- Inspiration
- Color palette
- Floor & furniture plan
- Lighting plan
- Finishes selection
- Furniture selection
- Vendor selection & management
Condo Kitchen
Chicago, IL
Owner of loft for five years, whose hobby was baking, wanted to update the kitchen to make it more
efficient for storage and create additional workspace for baking.
Description of work:
- Inspiration
- Color palette
- Space & traffic planning
- Kitchen layout
- Lighting plan
- Finishes selection
- Furniture selection
- Vendor selection & management
City Loft
Chicago, IL
Middle-aged, empty nest couple moving from a house in the suburbs to a condominium in the city. An
old paper warehouse was converted to timber lofts, they wanted to ensure that their space was warm and
inviting, while maintaining the urban, industrial architecture.
Description of work:
- Inspiration
- Color palette
- Space & traffic planning
- Floor & furniture planning
- Lighting plan
- Finishes selection
- Furniture selection
- Vendor selection & management
- Project management & selection
Single Family Home
Park Ridge, IL
A single mother, who relocated from out of state with a teenage daughter, bought a single family home
in the suburbs of Chicago. At the time, Park Ridge didn't have a lot of housing inventory. The house
was purchased with the intent to renovate the interior and exterior.


Hello, I am C-3PO, human-cyborg relations. What is your name? Yes, Master. Master Henry, what can I do for you? Goodbye Master, May the Force be with you. {{ result.date | date : 'hh:mm:ss a' }} {{ result.date | date : 'EEE MMM, yyyy' }} {{ ctrl.clearResults(); }} I was not programmed for this '{{ result.content }}' command yet.


{% extends "layout.html" %} {% block body %}
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Natural Gas Storage Forecast: Third Bullish Report In 17 Weeks
by Bluegold ResearchSummary
- This Thursday, we expect EIA to report 3,642 bcf of working gas in storage for the week ending November 15.
- We anticipate to see a draw of 90 bcf, which is 19 bcf smaller than a year ago but 58 bcf larger vs. the 5-year average.
- The latest numerical weather prediction models are projecting just about normal amount of TDDs over the next 15 days, but there is a disagreement in terms of scale.
- In the week ending November 22, we expect total supply-demand balance to be 6.2 bcf/d looser (vs. 2018).
- Annual storage "surplus" is projected to shrink over the next 45 days.
The Weather
Last week
Last week (ending November 15), the number of heating degree days (HDDs) jumped by 32.6% w-o-w (from 125 to 166), as weather conditions continued to get colder across the Lower-48 states. Cooling demand has plunged by about 54.7% and remains too weak to have a meaningful impact on natural gas consumption. We estimate that total energy demand (as measured in total degree days, or TDDs) was approximately 4.0% below last year's level, but as much as 46.6% above the norm (see the chart below).
This week
This week (ending November 22), the weather conditions got warmer. We estimate that the number of nationwide HDDs will drop by 24.6% w-o-w (from 166 to 125), while the number of nationwide CDDs will rise by 7.0% (from 3 to 4). Total average daily demand for natural gas should be somewhere between 103 bcf/d and 107 bcf/d, which is approximately 17.1% above the 5-year average for this time of the year. Total energy demand (measured in TDDs) should be mostly within the norm, but as much as 20.3% below last year's level.
Next week
Next week (ending November 29), the weather conditions are expected to get colder. The number of CDDs is currently projected to drop by 41.7% w-o-w (from 4 to 2), while the number of HDDs should increase by 12.7% (from 125 to 141). Total energy demand (measured in TDDs) should remain within the norm. However, in annual terms, TDDs will decline by 7.9% due to base effects (last year, the weather conditions over the same period were colder).
Total Energy Demand
Source: Bluegold Research estimates and calculations
Total Supply-Demand Balance
On average, the latest numerical weather prediction models (Wednesday's short-range 00z runs) are showing just about normal amount of TDDs over the next 15 days (November 20-December 5), but TDDs are generally projected to trend higher. Total demand is expected to average 110.1 bcf/d (some 20.5% above the 5-year average), supported (in part) by strong exports - specifically into Mexico - and also by robust LNG sales.
Projected HDDs are expected to remain slightly above the norm (on average), but there is a disagreement between the models (in terms of scale): GFS is significantly more bullish than ECMWF (see the table below).
Source: NOAA, ECMWF, Bluegold Research estimates and calculations
Non-degree-day factors have a mostly bullish impact on natural gas consumption. We estimate that, at the current spread between natural gas and coal, coal-to-gas switching must be averaging approximately 5.6 bcf/d (1.5 bcf/d above last year's level). Additionally, nuclear outages and weaker hydro inflows are spurring some extra consumption in the Electric Power sector. However, stronger wind and solar generation are having a negative impact on the potential power burn. On balance, we estimate that non-degree-day factors are currently having a bullish impact on potential natural gas consumption (compared to the same period in 2018). We estimate the net impact to be around +2.7 bcf/d (+1.5 bcf/d vs. 2018).
Overall, in the week ending November 22, we currently project that total balance will be looser (vs. the same week in 2018). However, we expect the balance to get slightly tighter in the week ending November 29 (see the table below).
Source: Bluegold Research estimates and calculations. The figures in the table above are weekly averages measured in million cubic feet per day (MMcf/d). Deviations from the 5-year norm are measured in percentages. Deviations from the previous year are measured in MMcf/d. Deviations are colored in accordance with their notional effect on the price. For example, higher consumption should have a positive effect (green color), whereas higher production has a negative effect (red color). Total Balance represents the net result of the interaction between total supply and total demand. Total Balance = total supply minus total demand. Total Balance does not equal storage flows. *Total Balance deviation vs. 5-year average = total supply deviation minus total demand deviation.
Storage Report
This week, the U.S. Energy Information Administration should report a larger change in natural gas storage compared to the previous week. We anticipate to see a draw of 90 bcf (3 bcf larger than the comparable figure in the ICE's latest report for the EIW-US EIA Financial Weekly Index, 19 bcf smaller than a year ago but 58 bcf larger vs. the 5-year average for this time of the year). A draw of 90 bcf would be the first draw this season and the third bullish storage change (relative to 5-year average) in 17 weeks (see the chart below).
Source: EIA, Bluegold Research estimates and calculations.
Thank you for reading this article. We also write daily and weekly reports, covering key variables in the U.S. natural gas market (supply, demand, storage, prices and more). We provide the following to subscribers:
We are offering a two-week free trial, and we will soon begin to cover the global LNG market. Come and join us.
Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.


Dolphin extension being installed to allow bigger ships to dock
A piece of infrastructure critical to the growth of the cruise-ship industry has arrived at Ogden Point.
The large-diameter steel pile for the 58-metre-long mooring dolphin extension of Pier B at the Victoria Cruise Ship Terminal is a replacement for the original steel that slipped into the ocean while transiting from China in rough seas last year.
The steel — 3.05 metres wide, 64 metres long and weighing 204 tonnes — will be embedded into the seabed as part of a $6.8-million project.
The dolphin extension will allow for large cruise ships, close to 350 metres long, to safely moor in port. Construction will start in the next two weeks and take about five months.


A blade runner must pursue and try to terminate four replicants who stole a ship in space and have returned to Earth to find their creator.
Marty McFly, a 17-year-old high school student, is accidentally sent 30 years into the past in a time-traveling DeLorean invented by his close friend, the maverick scientist Doc Brown.
A secret military project endangers Neo-Tokyo when it turns a biker gang member into a rampaging psychic psychopath that only two teenagers and a group of psychics can stop.


Website Design & Development
The languages that I use for this is (ReactJS, NodeJS, ExpressJS, MongoDB)
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The languages that I use for this is (ReactJS, NodeJS, ExpressJS, MongoDB)
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Proficient in Digital Marketing and Web Design And Development also I Know Graphics Design and WordPress Theme Customization. Aim to work in a challenging work environment where I can utilize my expertise in resolving the problems in test plans and advocate my analytical skills towards the growth of the organization.
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CLOSE
(Optional) Closes all of the free resources that are associated with an open cursor. COMMIT, END, and ROLLBACK automatically close the cursor, so it is not necessary to use the CLOSE command to explicitly close the cursor.
For more information, see DECLARE, FETCH.
Syntax
CLOSE cursor
Parameters
- cursor
-
Name of the cursor to close.
CLOSE Example
The following commands close the cursor and perform a commit, which ends the transaction:
close movie_cursor; commit;


|
Deuersprech-Kompilierer
Der originale Deuersprech-Kompilierer
|
Öffentliche Methoden | |
| production_part (String lab) | |
| String | label () |
| abstract boolean | is_action () |
| boolean | equals (production_part other) |
| boolean | equals (Object other) |
| int | hashCode () |
| String | toString () |
Geschützte Attribute | |
| String | _label |
This class represents one part (either a symbol or an action) of a production. In this base class it contains only an optional label string that the user can use to refer to the part within actions.
This is an abstract class.
|
inline |
Simple constructor.
|
inline |
Generic equality comparison.
Erneute Implementation in java_cup.symbol_part und java_cup.action_part.
|
inline |
Equality comparison.
|
inline |
Produce a hash code.
Erneute Implementation in java_cup.symbol_part und java_cup.action_part.
|
abstract |
Indicate if this is an action (rather than a symbol). Here in the base class, we don't this know yet, so its an abstract method.
Erneute Implementation in java_cup.symbol_part und java_cup.action_part.
|
inline |
Optional label for referring to the part within an action (null for no label).
|
inline |
Convert to a string.
Erneute Implementation in java_cup.symbol_part und java_cup.action_part.
|
protected |
Optional label for referring to the part within an action (null for no label).


This is a programming exercise for my own education. It has no warranty and is not a substitute for professional advice. As Jon Snow says, it is just a bit of fun.


Welcome to the homepage for the first MICCAI “DALI” Workshop. This workshop is the result of the merger of three workshop proposals that were submitted to the 2021 MICCAI Conference
The MICCAI Satellite Event chairs recognized the overlap in our proposals and asked us to join forces, and DALI is the result!


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schtasks query
Displays tasks scheduled to run on the computer.
Syntax
Schtasks [/query] [/fo {TABLE | LIST | CSV}] [/nh] [/v] [/s Computer [/u [Domain**\]User [/p** Password]]]
Parameters
[/query]
The operation name is optional. Typing schtasks without any parameters performs a query.
/fo {TABLE| LIST| CSV}
Specifies the output format. TABLE is the default.
/nh
Omits column headings from the table display. This parameter is valid with the TABLE and CSV output formats.
/v
Adds advanced properties of the tasks to the display.
Copy
Queries using **/v** should be formatted as **LIST** or **CSV**.
/s Computer
Specifies the name or IP address of a remote computer (with or without backslashes). The default is the local computer.
/u [Domain\]User
Runs this command with the permissions of the specified user account. By default, the command runs with the permissions of the current user of the local computer.
Copy
The specified user account must be a member of the Administrators group on the remote computer. The **/u** and **/p** parameters are valid only when you use **/s**.
/p Password
Specifies the password of the user account specified in the /u parameter. If you use /u, but omit /p or the password argument, Schtasks prompts you for a password.
Copy
The **/u** and **/p** parameters are valid only when you use **/s**.
/?
Displays help at the command prompt.
Remarks
The query operation lists all tasks that the user has permission to view. Administrators can view all tasks on the computer. Users can view only the tasks that they scheduled.
Examples
To display the scheduled tasks on the local computer
The following commands display all tasks scheduled for the local computer. These commands produce the same result and can be used interchangeably.
schtasks
schtasks /query
In response, SchTasks.exe displays the tasks in the default, simple table format, as shown in the following table:
Copy
TaskName Next Run Time Status
========================= ======================== ==============
Microsoft Outlook At logon time
SecureScript 14:42:00 PM , 2/4/2001
To display advanced properties of scheduled tasks
The following command requests a detailed display of the tasks on the local computer. It uses the /v parameter to request a detailed (verbose) display and the /fo LIST parameter to format the display as a list for easy reading. You can use this command to verify that a task you created has the intended recurrence pattern.
schtasks /query /fo LIST /v
In response, SchTasks.exe displays a detailed property list for all tasks. The following display shows the task list for a task scheduled to run at 4:00 A.M. on the last Friday of every month:
Copy
HostName: RESKIT01
TaskName: SecureScript
Next Run Time: 4:00:00 AM , 3/30/2001
Status: Not yet run
Logon mode: Interactive/Background
Last Run Time: Never
Last Result: 0
Creator: user01
Schedule: At 4:00 AM on the last Fri of every month, starting 3/24/2001
Task To Run: C:\WINDOWS\system32\notepad.exe
Start In: notepad.exe
Comment: N/A
Scheduled Task State: Enabled
Scheduled Type: Monthly
Modifier: Last FRIDAY
Start Time: 4:00:00 AM
Start Date: 3/24/2001
End Date: N/A
Days: FRIDAY
Months: JAN,FEB,MAR,APR,MAY,JUN,JUL,AUG,SEP,OCT,NOV,DEC
Run As User: RESKIT\user01
Delete Task If Not Rescheduled: Enabled
Stop Task If Runs X Hours and X Mins: 72:0
Repeat: Until Time: Disabled
Repeat: Duration: Disabled
Repeat: Stop If Still Running: Disabled
Idle: Start Time(For IDLE Scheduled Type): Disabled
Idle: Only Start If Idle for X Minutes: Disabled
Idle: If Not Idle Retry For X Minutes: Disabled
Idle: Stop Task If Idle State End: Disabled
Power Mgmt: No Start On Batteries: Disabled
Power Mgmt: Stop On Battery Mode: Disabled
To log tasks scheduled for a remote computer
The following command requests a list of tasks scheduled for a remote computer, and adds the tasks to a comma-separated log file on the local computer. You can use this command format to collect and track tasks that are scheduled for multiple computers.
The command uses the /s parameter to identify the remote computer, Reskit16, the /fo parameter to specify the format and the /nh parameter to suppress the column headings. The >> append symbol redirects the output to the task log, p0102.csv, on the local computer, Svr01. Because the command runs on the remote computer, the local computer path must be fully qualified.
schtasks /query /s Reskit16 /fo csv /nh >> \\svr01\data\tasklogs\p0102.csv
In response, SchTasks.exe adds the tasks scheduled for the Reskit16 computer to the p0102.csv file on the local computer, Svr01.
Remarks
This help file describes the version of Schtasks.exe included in the Windows Server™ 2003 family. For information about the version of Schtasks.exe in Windows XP Professional, see the Schtasks topic in Windows XP Professional Help.
SchTasks.exe performs the same operations as Scheduled Tasks in Control Panel. You can use these tools together and interchangeably.
Schtasks replaces At.exe, a tool included in previous versions of Windows. Although At.exe is still included in the Windows Server™ 2003 family, Schtasks is the recommended command-line task scheduling tool.
The parameters in a Schtasks command can appear in any order. Typing schtasks without any parameters performs a query.
Permissions for Schtasks
You must have permission to run the command. Any user can schedule a task on the local computer, and they can view and change the tasks that they scheduled. Members of the Administrators group can schedule, view, and change all tasks on the local computer.
To schedule, view, or change a task on a remote computer, you must be member of the Administrators group on the remote computer, or you must use the /u parameter to provide the credentials of an Administrator of the remote computer.
You can use the /u parameter in a /create or /change operation only when the local and remote computers are in the same domain or the local computer is in a domain that the remote computer domain trusts. Otherwise, the remote computer cannot authenticate the user account specified and it cannot verify that the account is a member of the Administrators group.
The task must have permission to run. The permissions required vary with the task. By default, tasks run with the permissions of the current user of the local computer, or with the permissions of the user specified by the /u parameter, if one is included. To run a task with permissions of a different user account or with system permissions, use the /ru parameter.
To verify that a scheduled task ran or to find out why a scheduled task did not run, see the Task Scheduler service transaction log, Systemroot\SchedLgU.txt. This log records attempted runs initiated by all tools that use the service, including Scheduled Tasks and SchTasks.exe.
On rare occasions, task files become corrupted. Corrupted tasks do not run. When you try to perform an operation on corrupted tasks, SchTasks.exe displays the following error message:
Copy
ERROR: The data is invalid.
You cannot recover corrupted tasks. To restore the task scheduling features of the system, use SchTasks.exe or Scheduled Tasks to delete the tasks from the system and reschedule them.


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Comments
-
Greg Hurrell
Thanks for the report, tinsun.
Those stack traces look incomplete. Did you hand edit them to remove all the stack frames which didn't have the word Synergy in them?
For example, your first one:
12 org.wincent.Synergy 0x00010b73 -[SynergyController timer:] + 9203 13 org.wincent.Synergy 0x0000ce21 -[SynergyController handleNotification:] + 425 27 org.wincent.Synergy 0x00002dd2 start + 54
The way we interpret stack traces is from the bottom up:
- so there is stack frame 27 where Synergy is starting
- the call chain leads from one function/method to another until we get to stack frame 13, so there are 14 frames missing from your report there
- frame 13 is evidently triggered by iTunes sending a notification about a track-change or player-state-change event, at which point it calls the
timer
method (frame 12) - then we have 12 missing frames leading up to frame 0 where the crash actually occurred
Without seeing the rest of the frames I would guess that this is bug #640 again; ie. the full trace will probably look something like this (this one comes from my own machine):
Thread 0 Crashed: 0 com.apple.applescript 0x00679d85 TUASFrame::UnlinkTo(TUASFrameType, TUASUnlinkExtent) + 53 1 com.apple.applescript 0x00677ad3 BCReturn() + 111 2 com.apple.applescript 0x0066233f UASExecute1() + 2439 3 com.apple.applescript 0x00662884 UASExecute(unsigned char) + 178 4 com.apple.applescript 0x006340e4 ASExecute(unsigned long, unsigned long, long, unsigned long*) + 302 5 ...ple.CoreServices.CarbonCore 0x928c3905 CallComponentFunctionCommon + 537 6 ...ple.CoreServices.CarbonCore 0x92908cb8 CallComponentFunction + 122 7 com.apple.applescript 0x0062fae2 AppleScriptComponent + 1744 8 com.apple.applescript 0x0064b927 AGenericManager::HandleOSACall(ComponentParameters*) + 63 9 ...ple.CoreServices.CarbonCore 0x928c35cd CallComponentDispatch + 29 10 com.apple.openscripting 0x93d25390 OSAExecute + 61 11 com.apple.Foundation 0x961f0f7b -[NSAppleScript(NSPrivate) _executeWithMode:andReturnError:] + 107 12 com.apple.Foundation 0x961f0e51 -[NSAppleScript executeAndReturnError:] + 49 13 org.wincent.Synergy 0x0000ea07 -[SynergyController timer:] + 647 (SynergyController.m:2256) 14 org.wincent.Synergy 0x0000ce21 -[SynergyController handleNotification:] + 425 (SynergyController.m:5509) 15 com.apple.Foundation 0x96107bda _nsnote_callback + 106 16 com.apple.CoreFoundation 0x9203f71b __CFXNotificationHandleMessage + 587 17 com.apple.CoreFoundation 0x9203f80e __CFXNotificationReceiveFromServer + 238 18 com.apple.CoreFoundation 0x9203a555 __CFMachPortPerform + 117 19 com.apple.CoreFoundation 0x9205e921 CFRunLoopRunSpecific + 3921 20 com.apple.CoreFoundation 0x9205ed18 CFRunLoopRunInMode + 88 21 com.apple.HIToolbox 0x949b76a0 RunCurrentEventLoopInMode + 283 22 com.apple.HIToolbox 0x949b74b9 ReceiveNextEventCommon + 374 23 com.apple.HIToolbox 0x949b732d BlockUntilNextEventMatchingListInMode + 106 24 com.apple.AppKit 0x90f327d9 _DPSNextEvent + 657 25 com.apple.AppKit 0x90f3208e -[NSApplication nextEventMatchingMask:untilDate:inMode:dequeue:] + 128 26 com.apple.AppKit 0x90f2b0c5 -[NSApplication run] + 795 27 com.apple.AppKit 0x90ef830a NSApplicationMain + 574 28 org.wincent.Synergy 0x00002dd2 start + 54
Now, as a programmer, normally when you see a stack trace like this you might like to think, "Ah, look! It is crashing in system code!". But in reality, in about 99.5% of cases you haven't found a bug in Mac OS X but rather the bug is in your code and something you are doing is creating circumstances which will cause a crash in the system APIs.
There are some rare cases — the 0.5% — where you actually have discovered a bug in the OS, and these NSAppleScript cases are such. See bug #640 for more details on that. Sometimes system bugs can be worked around and you can use an alternative API or some kind of trick to prevent them from being triggered, but in the case of NSAppleScript I can't really avoid the issue without ripping out the entire nervous system of the application and rewriting it. I have been working on this, but it's likely that Apple will fix the bug before I finish the rewrite.
So go back and have a look at your crash logs and see if "NSAppleScript" appears anywhere in the stack trace. If it does, looks like you're hitting bug #640. Unfortunately those crashes are fairly random; in my case I seem to be getting a crash every few days but I know others have seen them more often. Going back to 3.2 is a viable option if you're seeing these crashes often.
If you're not seeing an NSAppleScript crash, then please do post the full stack traces. You can use

tags to prevent them from getting misformatted (I'm about to go back and fix the formatting on your description there). -
anonymous
Created , edited
im having the same problem and im running it on a mac pro 10.5.2 as well. any fixes? do you need to see crashreports?
reecesuggs at gmail dot com
-
Greg Hurrell
Well take a look at your crash reports; if you see NSAppleScript then you're actually seeing bug #640. That's a bug in Leopard, so I'm encouraging people to file bug reports with Apple about it (see bug #640 for more details). You can also go back to 3.2 if you prefer not to put up with the crashes while waiting for the fix from Apple.
-
Greg Hurrell
As this one does look to be a duplicate of bug #640, going to mark this one as CLOSED.
Add a comment
Comments are now closed for this issue.


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My programing career portfolio
Find Out MoreI started my love for programing after doing a short Ruby on Rails online course. Then I went to Conestoga College for the Computer Programing and Analysis program. Where I did two co-ops, the first in Delta Elevator as a IS Programmer and the other at Loyalty Match as a Junior Developer. From these two experiences I have developed leaps and bounds from where I started as a software developer. I am now back at Loyalty Match as front-end developer where I am excited to learn more and see what’s next for me.
See What I Can DoAble to program in C# and am very knowledgeable in Visual Studio
Developed Blazor dashbords at Delta
Proficient with web design programing using CSS, HTML, and jquery
Developed multiple web apps in ASP.NET
Well-versed at programing in Node.js
Able to program in Java and knowledgeable in IntelliJ
Wrote in JavaScript using NetBeans
Develop new user facing features using React
Able to make and use databases in SQL
Well-versed at developing using Git
Used Google Cloud at Loyalty Match to server websits, house data and develop using AI tools
Worked on multiple projects throuth Azure
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Usage¶
The workflow for adding parameters for various kinds of turbulence inflow models to your OpenFOAM model is as follows.
- Step 1: Source Selection
Start the Turbulence Inflow Tool (TInF) and on the opening screen select the Source Tab (Fig. 4.1, item 1). Use the locate button (Fig. 4.1, item 3) to navigate to your OpenFOAM input tree.
Fig. 4.2 shows a sample selection. The distribution comes with simple example input located in installed application folder. Your provided input must at least contain the folders texttt{0}, texttt{constant}, and texttt{system}. Navigate to the parent folder (Fig. 4.2, item 2) and press open (Fig. 4.2, item 3).
The tool will display your selection (Fig. 4.3, item 2), parse your boundary condition definition and provide you with a list of found boundary patches (Fig. 4.3, item 3). If your folder does not contain a parsable boundary patch definition, the folder will be displayed in red and no boundary patch selection will be offered.
Use the pull-down menu to select the proper boundary patch to which the turbulence inflow conditions will be applied.
- Step 2: Parameter Definition
In the Parameters tab (Fig. 4.4 and Fig. 4.5, item 1), first select the desired method.
Based on the selected method, additional parameters will be collected. The particular parameters and their meaning are discussed in detail in Chapter sec:TInF-theory. Depending on selected model and sub-options, as well as your screen size, you may need to scroll down to get access to all parameter fields (Fig. 4.4 and Fig. 4.5, item 2).
Note
the window manager on MacOS is hiding any scroll bar until you attempt to slide the parameter fields up.
Step 3: Export Changes to your Model
Once all parameters have been defined, you are ready to export the necessary changes to your model definition files.
In the Export panel (Fig. 4.6, item 1), verify that the correct boundary patch is selected (Fig. 4.6, item 2). This is the same as what is selected in the Source panel (Fig. 4.3, item 3). Actually, those fields are linked and changes to either will automatically sync the other.
Once you are certain that the correct patch has been selected, press the Export button (Fig. 4.6, item 3) to write the updated boundary definition files. Existing files will be saved to name.orig.
Warning
Only one copy of the original file will be made. Subsequent exports will treat the previously modified files as the source to be saved. Any older versions will be overwritten without further warning.


Supplying the Cell
Your task is to find out about lung diseases, and write your findings in a short report.
(Do not just print out all the pages of interest you find but summarise the key points in your report.)
Either use the 'Information finder' in program manager, or use the internet.
Some sites have been selected for you below, and these may contain links with other useful sites:


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