To Prove:
Here, is the complex root of unity such that: .
There are exactly n complex roots of unity: for .
Therefore, is the principal root of unity.
Step 1: Let
Now substituting the value of as
For , the expression in can be written as: .
Therefore,
Step 2: According to the definition of the exponential of a complex number:
Since,
Hence,
Consider the given coefficient vector a = (0, 1, 2, 3). The Discrete Fourier transformation (DFT) is the vector y=. The DFT can be expressed in the general form(y= ) as follows:
Now, multiply the vandermonde matrix and coefficient matrix. Thus, the resultant matrix is as follows:
…… (1)
Each row value is equals to corresponding element in the left side matrix. Therefore solve the right hand side matrix to calculate the values of and.
Consider the values and to calculate the vector elements.
Thus, …… (2)
Similarly calculate the value of
…… (3)
Put the value in equation (3)
Thus,
Calculate the value of as follows:
Hence, …… (4)
Calculate the value of as follows:
Hence, …… (5)
From equation (2) , (3) , (4) and (5), the value of and are as follows:
The polynomials are as follows:
and
The evaluation is done using the fourth roots of unity that is, .
• Call RECURSIVE-FFT ((-10, -1,0,0)) and evaluate to (-11, -10-i, -9, -10+i)
• Now evaluate the original function call, the values are ,.
• On changing the values, we have and
• Similarly, if it is required to compute the FFT of other polynomial, get the FFT of B(x) as
On interpolation, the result is as follows:
The polynomial is:
Discrete Fourier transform (DFT) is invertible with
=
where is the inverse of vandermonde matrix.
So,
where is the root of unity.
The inverse DFT which is is calculated as follows.
where is the inverse DFT, is the coefficient vector. is the nth root of unity.
At first compute the Discrete Fourier transform (DFT) to obtain the value of then flip the sequence by fixing the .
Pseudo code of is as follows:
INV-DFT (y)
// store length of vector y
1. n= y. length
// check the value of variable n
2. if n==1
//return the value of vector
3. return y
// is the principle nth root of unity and is its inverse
4.
5.
//split the vector into even and odd part and store it into coefficient vector of y
6.
7.
//for loop is used to flip the sequence
8. for j=0 to n/2-1
9.
10.
//it is used for mapping
11.
//if statement is used to find the value of coefficient vector
12. if j=0
13.
14. else
15.
//return the column vector
16. return a
• In line first store the length of vector y into variable n so the worst case complexity will be.
• Line 2-3 is used to check the element of DFT, so the complexity will be.
• Line 5-6 of pseudo-code is used to define the coefficient vector for polynomial so the complexity will be.
• Line 8-9 is used to find the value of so each invocation takes.
• Line 12 and 14 calculate the value of by dividing every term to n. This creates another factor which can be neglected by doing the division step along with the previous step.
So the total time complexity will be as follows:
By using master’s theorem, the following time complexity is obtained:
The highest order term decides the complexity.
In the above recurrence of running time, represent the length of input vector. Evaluate a polynomial of degree n at nth root using inverse DFT.
By using FFT (Fast Fourier Transform) which takes the advantage of the special properties of the complex roots of unity.
FFT method employs a divide and conquer strategy using even index and odd index coefficients of A(x) separately to define the three-new degree bound n/3 polynomials , and
These polynomials are expanded as follows:
Evaluate the degree bound n/2 polynomials and at the points
Combine the results obtained.
By applying the halving lemma, the list of values consists not of n distinct values but only of the n/3 complex roots of unity with each root occurring exactly twice.
Therefore, the polynomials , and of degree bound n/3 are recursively evaluated at the n/3 complex roots of unity.
These sub problems have the same form as the original problem but are half the size.
Thus, an n element computation is divided into two n/3 elements computations.
This decomposition is the basis for the following recursive FFT algorithm which computes DFT of an n element vector where n is the power of 3.
For n to be a power of 3, that the cube of the complex roots of unity are the n/3 complex roots of unity apply the cancellation lemma,
Therefore,
Now, write and define for i=1,2,3…
The recurrence which is obtained is:
Solving the recurrence relation using Master’s theorem:
Compare the above recurrence by standard formula:
Here, a=3, b=3 and f(n)=n. Computing the value of the value obtained is =1
On comparing the values of and f(n) which are same the case 2 of master’s theorem is applied.
So, the final running time complexity is:
The procedure is described by the following algorithm:
RECURSIVE-FFT-INVERSE(y)
1 n=y. length
2 if n==1
3 return y/n
4 end if
5
6
7
8
9
10 for k = 0 to do
11
12
13
14 end for
15 return a
To prove that and inverse are well defined in the given system , suppose be the ring of integers .
Where, is a positive integer and is even integer
Then,
Now, construct a polynomial such that
Where and polynomial is of degree-bound with coefficients from
Now, define such that
Then, the vector is discrete Fourier transformation of the coefficient vector
Now, show that product and sum of two distinct tuples of the vector is again the tuple of
Since,
Then,
Then, take product and sum of
And
Then, the product and the sum of two distinct tuples of the vector is again a tuple of
Therefore, discrete Fourier transformation () is well defined
Now, write the discrete Fourier transformation as the matrix product
Then,
Where, as the principal root of unity
Since, the square matrix is a non-singular matrix in
That is
Then, exists
Now, multiply from left side by in the equation
Then,
Or
Then, it can be written as
Since, exists
Therefore, is well defined in .
Hence, and inverse are well defined in the system.
Finding the coefficient of a polynomial of bounded degree
MULTIPLYING-OUT algorithm is used to find the coefficients of polynomial P(x) of degree bound n+1 that has zeroes. This algorithm uses the property of recursive calls; every recursive call made here is of size.
The Multiplying-Out algorithm takes input as the list of values that are provided by the user. After this, it is checked whether the list has one single item or not, if the condition satisfies, return the value of. It is returned because the polynomial has the value zero at zj, only when the polynomial will be a multiple of. After this, the list has been divided into two lists (P2(x) and P2(x)) and recursion is done in list items.
After this, fast Fourier Transform is done on both lists and their values is stored in variables y1 and y2. Make use of for loop to calculate the value of y and then perform Fourier transform inverse storing values in P(x).
Multiplying-Out algorithm is given below:
MULTIPLYING-OUT ALGORITHM: (
// use of if condition to check whether list has a single element or not
1. if n = 1
return
2. else
// Divide the list into two parts, where P1(x) contains list items 1 to n/2
// and P2(x) contains rest of them and recursion is performed on both list items
3. P1(x) = Multiplying Out
4. P2(x) = Multiplying Out
// perform fast Fourier transform on P1(x) and P2(x)
5. (y1 is a vector of 2n values).
6. (same for y2)
// Compute the point wise product y of y1; y2 in linear time
7. for()
// Perform inverse of evaluation to find the coefficient of polynomial using
// point-value representation
8.
For determining the runtime, following should be taken into consideration:
1. Lines 1, 2, 7 take time in total.
2. There are 2 recursive calls to Multiplying Out of size n=2 each (lines 3, 4).
3. There will be a total of three calls FFT (fast Fourier transform) of size 2n
(lines 5, 6, 8).
Therefore, total running time will be:
Considering the recursion tree of Multiplying-Out, the height of this tree will be. It is so because at every recursive call made, the input size is partitioned into half. This can be performed only in times before n is minimized to the base 1.
At each level (with = 0 making it the top level). The algorithm will make recursive calls of size . The algorithm will have cases of extra work for level , the FFT (fast Fourier transform) of current active calls have been carried out making use of roots of unity point.
In reality, it is found that it is useless to add any value for the recursive calls stated in since their work is counted in the extra work in lower branches of the tree.
So, at level 0, the total work is
At level 1, the running time can be given as:
At level l, the running time can be given as:
Therefore, the running time at any particular level is.
There will be levels in the algorithm which takes time of.


#include <physics_base.h>
|
|
| physics_base (float mass_) |
| |
|
| physics_base (float mass_, const vec2 &gravity_accel_) |
| |
|
| physics_base (const physics_base &other_) |
| |
|
physics_base & | operator= (const physics_base &other_) |
| |
| std::unique_ptr< physics_base > | clone () const |
| |
|
virtual void | update (const vec2 &external_force_, std::unique_ptr< moveable_base > &moveable_, float dt) |
| |
|
virtual vec2 | get_force (const vec2 &) const |
| |
|
float | get_mass () const |
| |
|
void | set_mass (float mass_) |
| |
|
void | set_gravity (const vec2 &_grav) |
| |
|
|
float | _mass |
| |
|
float | _inverseMass |
| |
|
vec2 | _gravity_acc |
| |
physics_base defines the interface and basic implementation for entities that are bound to follow physics laws.
◆ clone()
| std::unique_ptr< physics_base > physics_base::clone |
( |
| ) |
const |
clone is needed to create a deep copy when moveable_base is used as pimpl
◆ integrate()
| void physics_base::integrate |
( |
vec2 & |
pos, |
|
|
vec2 & |
prev_pos, |
|
|
const vec2 & |
external_force_, |
|
|
float |
dt |
|
) |
| |
|
protected |
integrate increments the position of the entity by integrating the force acting on it
The documentation for this class was generated from the following files:


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GARDEN
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Garden
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Schultesia
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Level of confidence that token is an accurately-transcribed word
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Dil Se #PakistanKiPehchan Every summer, women all over Pakistan and beyond wait for one thing only: LAWN. Waiting for CLOTHE-X Summer Lawn…
Read MoreWith winter behind us, the clock is ready to strike Spring/Summer 2020. As much as we love our all-black, denim-on-denim and model-off-duty looks,…
Read MoreTime to do away with all the greys as we welcome bright sunny days. Summer is almost here and we all know what that means. Lawn is ready to reign our…
Read More


Using this web app, you can run NetAvg calculations. NetAvg takes an ensemble of protein conformations as input and returns, as output, a single conformation that best represents the ensemble. For further details, see our Proteins article, Extracting representative structures from protein conformational ensembles. To download the source code for NetAvg, visit our GitHub repository.
To submit jobs to NetAvg through this web interface, you'll need an ensemble of conformations for your protein of interest. The accepted input formats are: (1) a .pdb
containing multiple frames; (2) a .zip
file comprised of .pdb
files. The input is limited to 1000 conformations or less. Inputs larger than 1000 conformations will return an error. Here is a sample input trajectory that you can try:
Choose File
button in the "Trajectory" field. In the dialog that appears, select the .pdb
or .zip
file for your conformational ensemble from your computer.Submit
button. Your job will appear in the job list on the left side of the interface with a status of "submitted".Refresh Job List
will refresh the status of your jobs. When your job is complete, the status will change from "submitted" to "done" (calculation time will vary based on protein length, size of conformational ensemble, and number of jobs in queue). At that point, you can click on the name of your job and view the results.Download Output PDB
to save the representative conformation from your submitted ensemble. You can also click the Delete
button to remove the job from your list if you no longer need the results. Note: deleted jobs are not recoverable so delete with care.


Enter your parameters or choose a preset and press Submit. Select a pattern: Solid Color #1 Blink Colors Scroll Colors Wipe Up Wipe Down Random Blinker Larson Scanner Smooth Scroll Pulse Traditional Color chase Color #1: Random: Color #2: Random: Length: Delay (ms):


Where is I’m a Celebrity filmed?

For many viewers at home, it’s as much a sign of it being Christmas as the John Lewis advert or the Coca-Cola truck.
But as we settle down for wintry nights watching celebrities including Caitlyn Jenner, Roman Kemp and Nadine Coyle ‘enjoying’ the warmer weather down under, where exactly is the camp?
Here’s what you need to know about that I’m A Celebrity location.
Where is I’m a Celeb filmed?
The show is filmed in Murwillumbah, New South Wales.
More specifically it’s filmed inside the Springbrook National Park.
The show has been filmed here since its second series back in 2003 – having previously been filmed in Cairns, Queensland.
So while some things will be different this year – like no more live critters used for Bush Tucker trials – it’ll still look like the camp we’ve come to know and love for such iconic moments as Peter Andre and Katie Price falling in love before our eyes and Gillian McKeith being, well, Gillian McKeith.
Advertisement Advertisement
Viewers might just get to see the camp, the bridges and Ant and Dec’s studio, but there’s a whole headquarters going on.
There’s an on-site medical facility, a space for props storage and an area where family and friends of the celebrities gather on the morning of each eviction.
Where do I’m a Celebrity contestants stay after leaving the jungle?
When a campmate is voted off the show, they’ll recover at the five-star Versace Hotel in Surfers Paradise – almost worth eating a stray testicle for.
I’m a Celebrity…Get me out of Here! continues at 9pm on ITV.


D-City
问题描述 :
Luxer is a really bad guy. He destroys everything he met.
One day Luxer went to D-city. D-city has N D-points and M D-lines. Each D-line connects exactly two D-points. Luxer will destroy all the D-lines. The mayor of D-city wants to know how many connected blocks of D-city left after Luxer destroying the first K D-lines in the input.
Two points are in the same connected blocks if and only if they connect to each other directly or indirectly.
One day Luxer went to D-city. D-city has N D-points and M D-lines. Each D-line connects exactly two D-points. Luxer will destroy all the D-lines. The mayor of D-city wants to know how many connected blocks of D-city left after Luxer destroying the first K D-lines in the input.
Two points are in the same connected blocks if and only if they connect to each other directly or indirectly.
输入:
First line of the input contains two integers N and M.
Then following M lines each containing 2 space-separated integers u and v, which denotes an D-line.
Constraints:
0 < N <= 10000
0 < M <= 100000
0 <= u, v < N.
Then following M lines each containing 2 space-separated integers u and v, which denotes an D-line.
Constraints:
0 < N <= 10000
0 < M <= 100000
0 <= u, v < N.
输出:
First line of the input contains two integers N and M.
Then following M lines each containing 2 space-separated integers u and v, which denotes an D-line.
Constraints:
0 < N <= 10000
0 < M <= 100000
0 <= u, v < N.
Then following M lines each containing 2 space-separated integers u and v, which denotes an D-line.
Constraints:
0 < N <= 10000
0 < M <= 100000
0 <= u, v < N.
样例输入:
5 10 0 1 1 2 1 3 1 4 0 2 2 3 0 4 0 3 3 4 2 4
样例输出:
1 1 1 2 2 2 2 3 4 5HintThe graph given in sample input is a complete graph, that each pair of vertex has an edge connecting them, so there's only 1 connected block at first. The first 3 lines of output are 1s because after deleting the first 3 edges of the graph, all vertexes still connected together. But after deleting the first 4 edges of the graph, vertex 1 will be disconnected with other vertex, and it became an independent connected block. Continue deleting edges the disconnected blocks increased and finally it will became the number of vertex, so the last output should always be N.
题目链接：HDU 4496 D-City
并查集。
先读入边，再倒着添加边就行了。
#include <iostream> #include <stack> #include <stdio.h> using namespace std; const int MAX_N = 10000 + 100; const int MAX_M = 100000 + 100; int p[MAX_N]; int _find(int x) { return p[x] == x ? x : (p[x] = _find(p[x])); } int n, m; stack <int> s; struct Edge { int u, v; }; Edge edge[MAX_M]; int res[MAX_M]; int main() { while(scanf("%d%d", &n, &m) != EOF) { for(int i = 0; i < n; i++) p[i] = i; for(int i = 0; i < m; i++) scanf("%d%d", &edge[i].u, &edge[i].v); res[m - 1] = n; for(int i = m - 1; i > 0; i--) { int a = _find(edge[i].u); int b = _find(edge[i].v); if(a != b) { p[a] = b; res[i - 1] = res[i] - 1; } else res[i - 1] = res[i]; } for(int i = 0; i < m; i++) printf("%d\n", res[i]); } return 0; }
版权声明：本文为博主原创文章，未经博主允许不得转载。
参考：http://blog.csdn.net/fobdddf/article/details/23303263
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时间不能掩盖罪恶！
没有看过小说，认出（或者感觉）那个女的是小医仙的有没有，只有我一个吗？
没有看过小说，认出（或者感觉）那个女的是小医仙的有没有，只有我一个吗？
没有看过小说，认出（或者感觉）那个女的是小医仙的有没有，只有我一个吗？
没有看过小说，认出（或者感觉）那个女的是小医仙的有没有，只有我一个吗？
没有看过小说，认出（或者感觉）那个女的是小医仙的有没有，只有我一个吗？
没有看过小说，认出（或者感觉）那个女的是小医仙的有没有，只有我一个吗？
没有看过小说，认出（或者感觉）那个女的是小医仙的有没有，只有我一个吗？


JOHN CENA
"Hi, can I speak to Champ?"
"Who is Champ?"
"THAT QUESTION WILL BE ANSWERED THIS SUNDAY NIGHT!"


Interface for SenseCom, allows the retrieval of Devices and Data.
More...
#include <DeviceList.h>
|
| static SGCORE_API int | ActiveDevices () |
| | Retrieve the number of devices that have been detected by the SenseCom executable. More...
|
| |
| static SGCORE_API bool | SenseComRunning () |
| | Returns true if the SenseCom program is running. More...
|
| |
| static SGCORE_API void | Dispose () |
| | Clear the device list, and block any further attempt to add to it untill ReInitialize is called. More...
|
| |
| static SGCORE_API void | ReInitialize () |
| | When you've accidentaly disposed of the list before you meant to. More...
|
| |
| static SGCORE_API std::vector< std::shared_ptr< SGDevice > > | GetDevices () |
| | Retrieve all Sense Glove Devices connected to this system. More...
|
| |
| template<class T > |
| static std::vector< std::shared_ptr< T > > | GetDevices () |
| | Retrieve a list of SGDevices of a specific class. More...
|
| |
| static SGCORE_API bool | GetSensorDataString (int ipcIndex, std::string &ipcAddress, std::string &output) |
| | Retrieve the latest (raw) sensor data from a specific device in our list. More...
|
| |
| static SGCORE_API bool | SendHaptics (int ipcIndex, std::string &ipcAddress, std::string &commands) |
| |
| static std::string | GetDeviceStringAt (int ipcIndex, std::string &ipcAddress, int index) |
| |
| static std::string | GetAddress (int ipcIndex, std::string &ipcAddress) |
| | Retrieve Device Address More...
|
| |
| static SGDevice::ConnectionType | GetConnectionType (int ipcIndex, std::string &ipcAddress) |
| | Retieve this device's connectionType. More...
|
| |
| static bool | IsConnected (int ipcIndex, std::string &ipcAddress) |
| | Returns true if the device at this connection side is properly connected. More...
|
| |
| static int | PacketsPerSecondReceived (int ipcIndex, std::string &ipcAddress) |
| | Retrieve the device's Packets per Second Variable More...
|
| |
| static int | PacketsPerSecondSent (int ipcIndex, std::string &ipcAddress) |
| | Retrieve the device's Packets per Second sent Variable More...
|
| |
Interface for SenseCom, allows the retrieval of Devices and Data.
◆ ActiveDevices()
| int SGCore::DeviceList::ActiveDevices |
( |
| ) |
|
|
static |
Retrieve the number of devices that have been detected by the SenseCom executable.
◆ Dispose()
Clear the device list, and block any further attempt to add to it untill ReInitialize is called.
Useful if your IDE has troubles unloading dlls (cough, Unity, Cough).
- Returns
◆ GetAddress()
| std::string SGCore::DeviceList::GetAddress |
( |
int |
ipcIndex, |
|
|
std::string & |
ipcAddress |
|
) |
| |
|
static |
◆ GetConnectionType()
Retieve this device's connectionType.
◆ GetDevices() [1/2]
| std::vector< std::shared_ptr< SGDevice > > SGCore::DeviceList::GetDevices |
( |
| ) |
|
|
static |
Retrieve all Sense Glove Devices connected to this system.
◆ GetDevices() [2/2]
template<class T >
| static std::vector< std::shared_ptr<T> > SGCore::DeviceList::GetDevices |
( |
| ) |
|
|
inlinestatic |
Retrieve a list of SGDevices of a specific class.
◆ GetDeviceStringAt()
| std::string SGCore::DeviceList::GetDeviceStringAt |
( |
int |
ipcIndex, |
|
|
std::string & |
ipcAddress, |
|
|
int |
index |
|
) |
| |
|
static |
◆ GetSensorDataString()
| bool SGCore::DeviceList::GetSensorDataString |
( |
int |
ipcIndex, |
|
|
std::string & |
ipcAddress, |
|
|
std::string & |
output |
|
) |
| |
|
static |
Retrieve the latest (raw) sensor data from a specific device in our list.
summary> Send a (raw) command to a specific device in the list.
◆ IsConnected()
| bool SGCore::DeviceList::IsConnected |
( |
int |
ipcIndex, |
|
|
std::string & |
ipcAddress |
|
) |
| |
|
static |
Returns true if the device at this connection side is properly connected.
◆ PacketsPerSecondReceived()
| int SGCore::DeviceList::PacketsPerSecondReceived |
( |
int |
ipcIndex, |
|
|
std::string & |
ipcAddress |
|
) |
| |
|
static |
Retrieve the device's Packets per Second Variable
- Returns
◆ PacketsPerSecondSent()
| int SGCore::DeviceList::PacketsPerSecondSent |
( |
int |
ipcIndex, |
|
|
std::string & |
ipcAddress |
|
) |
| |
|
static |
Retrieve the device's Packets per Second sent Variable
- Returns
◆ ReInitialize()
| SGCORE_API void SGCore::DeviceList::ReInitialize |
( |
| ) |
|
|
static |
When you've accidentaly disposed of the list before you meant to.
- Returns
◆ SendHaptics()
| bool SGCore::DeviceList::SendHaptics |
( |
int |
ipcIndex, |
|
|
std::string & |
ipcAddress, |
|
|
std::string & |
commands |
|
) |
| |
|
static |
◆ SenseComRunning()
| bool SGCore::DeviceList::SenseComRunning |
( |
| ) |
|
|
static |
Returns true if the SenseCom program is running.
The documentation for this class was generated from the following files:
- C:/Gitlab-Runner/builds/yDcLA2Qt/0/senseglove/senseglove-backend/sgcorecpp/src/SGCoreCpp/DeviceList.h
- C:/Gitlab-Runner/builds/yDcLA2Qt/0/senseglove/senseglove-backend/sgcorecpp/src/SGCoreCpp/DeviceList.cpp


Mission statement
SignatureEl Puente Clients may purchase $10 tickets in person on Tuesdays and Thursdays, 3-6pm, at El Puente. Click here for more information.
Paola P.El Puente has been a blessing for our community in so many aspects. Services provided as simple as an English class or a welcome guide to new residents are changing one life at a time. El Puente has quite literally become "the bridge" our community was in need of, and now a pathway has been built for all our Hispanic brothers and sisters. Thank you Mrs. Ruth Simpson and all the members who have helped create El Puente."


Whats Better Than Home made Food!
Delectable home-cooked food will make you go wow, the foods that are prepared at home are way better than cooked in restaurants, hotels, or someplace else and the main reason why homemade meals are better for health is that homemade food is hygienic!


Length of brink: 1060 feet /323.08 meters. Height: 176 feet / 53.6 meters (due to rocks at the base actual fall is 70 feet/ 21.3 meters).Volume of water: 150,000 U.S. Gallons / 567,811 Liters per second.Read more
Length of brink: 2600 feet / 792.4 meters. Height: 167 feet / 50.9 meters. Volume of water: 600,000 U.S. gallons / 2,271,247 liters per second. The Niagara River as is the entire Great Lakes Basin of which the river is an integral part is a legacy of the last Ice Age. 18,000 years ago southern Ontario was covered by ice sheets 2-3 kilometers thick. As they advanced southward the ice sheets gouged out the basins of the Great Lakes. Then as they melted northward for the last time they released vast quantities of meltwater into these basins. Our water is “fossil water” less than one percent of it is renewable on an annual basis and the rest leftover from the ice sheets. Read more


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December 20, 2003
Witches curse celebrity talent judge
London Daily Record | Submitted by: Reid Fleming
"Simon Cowell will be lost for words at the Pop Idol final if a spell by hundreds of Scottish witches works. The white witches decided to put the spell on Cowell after he claimed Ozzy Osbourne's recent quad bike accident was a publicity stunt. Ozzy's family contacted the High Priest of British White Witches, Kevin Carlyon, to get revenge... 'He should suffer in some way and if it means dabbling in the darker side of our witchcraft, then so be it.' The witches have also called on their powers in a bid to help heal Ozzy, who remains critically ill in a Berkshire hospital."
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Read article...
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Qaddafi coughs up WMDs
The Scotsman | Submitted by: Reid Fleming
"Libya will end more than 20 years of isolation as a 'pariah state' after promising to renounce terrorism and dismantle its secret weapons of mass destruction programme, Tony Blair, the Prime Minister, said last night... Blair said nine months of negotiations between British and Libyan officials had resulted in the decision by the country's leader, Colonel Muammar al-Gaddafi, to scrap plans for chemical and nuclear missiles, which were understood to be at an advanced stage."
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Read article...
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Dead Jews still shanghaied by Mormons
Jewish Week | Submitted by: Reid Fleming
"Despite a 1995 promise to stop baptizing deceased Jews, the Mormon church has not removed the names of thousands of Jews within its database who were earlier baptized, and a church official admitted that more Jews may continue to be baptized posthumously... among the Jews the Mormons posthumously baptized were David Ben-Gurion, Israel's first prime minister, and Theodor Herzl, the founder of the Zionist movement. Anne Frank, Moshe Dayan and Albert Einstein have also been baptized, critics claim."
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Read article...
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Penises amputated after pointless ceremony
Independent Online | Submitted by: Reid Fleming
"Five youths have had their penises amputated after botched circumcisions in the Eastern Cape since the beginning of November, the provincial health department said on Friday... The youths were victims of traditional surgeons running illegal circumcision schools, which the department is fighting to eliminate."
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Read article...
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Miss Savannah charged with murder
Atlanta Journal Constitution | Submitted by: Reid Fleming
"[Sharron Nicole Redmond, the reigning Miss Savannah] is accused of shooting her boyfriend, possibly during a fight over another woman, police said... A high school teacher, Redmond graduated summa cum laude from Spelman College in Atlanta after completing a double major in English and pre-medicine in three years, according to the Miss Savannah Web site... Redmond will likely won't lose her crown as Miss Savannah unless she's convicted, said Tim Strickland, co-chairman of the Miss Savannah pageant."
|
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Read article... and
This article...
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Buttafuoco arrested for alleged insurance fraud
KCAL-TV 9 Los Angeles | Submitted by: Reid Fleming
"Joey Buttafuoco, whose affair with a teenager led to his wife's shooting, was arrested Wednesday and charged with insurance fraud for allegedly making phony repair estimates at his San Fernando Valley auto body shop... Buttafuoco told undercover investigators how to file phony insurance claims for undamaged cars, the Los Angeles County district attorney's office alleged in a statement."
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Read article...
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Prosecutors chasing Limbaugh's medical records
Sarasota Herald-Tribune | Submitted by: Reid Fleming
"Rush Limbaugh's seized medical records are 'relevant and necessary' to a prescription drug investigation and should be unsealed, a prosecutor argued in court papers Friday... Prosecutors are investigating whether Limbaugh obtained and used prescription painkillers illegally. No charges have been filed."
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Read article...
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Ashcroft fined $37K for $112K violation
Washington Post | Submitted by: Reid Fleming
"During more than two years of investigating two campaign committees that Attorney General John D. Ashcroft maintained when he was in the Senate, the Federal Election Commission never directly questioned Ashcroft or obtained a sworn statement from him... On Tuesday, the FEC announced a 'conciliation agreement' under which the complaint was settled when the Spirit of America PAC and Ashcroft 2000 agreed to pay a $37,000 fine for what the FEC said was $112,000 in illegal contributions to the Senate campaign committee."
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Read article...
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Club bans nude swimming 121 years later
Milwaukee Journal Sentinel | Submitted by: Reid Fleming
"Bob Bellin, president of the [Milwaukee Athletic Club], says he appreciates that the prohibition on nude swimming, which is to begin Jan. 2, is somewhat controversial... Bellin says the nude swimming has made for some eye-popping encounters over the years. He recalls when one of his four sons was taking a coed scuba diving class in the men's pool. A nude man, not knowing that a pod of scuba divers was hovering at the bottom of the pool, jumped in and began his regimen."
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Read article...
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NFL exec genius at insults
Gay Financial Network | Submitted by: Reid Fleming
"[Detroit Lions president Matt Millen], rebuffed in his efforts to congratulate Chiefs receiver Johnnie Morton following Kansas City's 45-17 victory over Detroit on Sunday, responded by calling the former Lion... 'You faggot! Yeah, you heard me. You faggot!'"
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Read article...
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Project ID:
Call
pingFunction
(local)
Call
pingFunctionWithCorsAllowed
(local)
Call
pingFunction
Call
pingFunctionWithCorsAllowed
allowed
Result:


Danny Murphy hits back at Roy Keane after Declan Rice criticism
Danny Murphy has come to the defence of West Ham and England midfielder Declan Rice after he came in for fierce criticism from Roy Keane.
The former Manchester United captain was in typically fiery mood when asked about Rice’s limitations ahead of England’s trip to Kosovo on Sunday.
Keane worked with the 20-year-old at international level before Rice switched his allegiance from Ireland to England and picked out a number of faults in his game.
‘Well, where he [Rice] needs to improve, there’s plenty of aspects,’ Keane told ITV.
‘When you think about him, over the last few months he’s had a lot of praise. I’ve looked at him pretty closely, I’ve worked with him when he was with the Irish squad.
‘Where he needs to improve, where do you want me to start? His positional play, I don’t think he’s been consistent enough, he doesn’t stay with runners, he’s sloppy in possession, I can go on.
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‘He’s one of these players who people were enjoying and loved but he’s one of these players that has almost played his way out of the team because he’s not been consistent at West Ham.’
However, former England international Murphy disagrees strongly with Keane, praising Rice’s positional play and saying he has achieved a lot for such a young age.
‘I do think he went over the top and there’s probably a little bit in him that’s not happy he jumped ship from Ireland, although I think he made the right decision,’ Murphy told talkSPORT.
‘Declan’s a wonderful player. He’s 20-years-old, he’s been playing every week in West Ham’s side in the Premier League since he was a teenager and for the majority for the last season-and-a-half he’s been their best player.
‘He’s progressed more than anyone ever thought he would, really quickly, which suggests to me he does have football intelligence.
‘The other thing is he’s moved from a defensive position into midfield and you have to learn that role, and you learn as you play.
‘International football is very different from club football and not playing European football at club level means you only get to learn about that when you’re playing international football, so he’s going to have good and bad games, it’s inevitable at 20 years of age.
Advertisement Advertisement
‘So I think it’s harsh.
‘I do think his positional play is good and he spots danger and tracks runners very well, he’s very disciplined, hence all the plaudits he’s got. I think Declan’s got a super future ahead of him.’
Rice has been heavily linked with a move to Keane’s former club Manchester United as manager Ole Gunnar Solskjaer is keen to build his side around young British talent.
The Red Devils are expected to make a move for the England international over the summer as Solskjaer’s revamp continues.


CorrelationBot is a simple way to find patterns in your data. It speaks HTTP, and has just one endpoint.
CorrelationBot speaks JSON over HTTP at http://correlationbot.com
. Use GET
for instructions, POST
for results. Enjoy!
>>> import json >>> import requests >>> headers = {'Content-type': 'application/json', } >>> resp = requests.post("http://correlationbot.com", headers=headers, data=json.dumps({ "data": [ [1, 2, 3], [412, 5, 6], [45, -125, 6.334], # Or any number of equally-sized columns. ] }) >>> print resp.json() { "correlations": [ { "column_1": 1, "column_2": 2, "correlation": -0.86495821895559954, "pearson": -0.86495821895559954, # As you might guess, spearman, kendall, and others coming soon. }, { "column_1": 1, "column_2": 3, "correlation": -0.21695628247970969, "pearson": -0.21695628247970969, }, { "column_1": 2, "column_2": 3, "correlation": 0.67754874098457696, "pearson": 0.67754874098457696, } ] ]
$ curl -X POST -H "Content-Type: application/json" -d '{"data": [[1,2,3,4,6,7,8,9],[2,4,6,8,10,12,13,15]]}' http://correlationbot.com {"correlations": [{"pearson": 0.99535001355530017, "column_2": 2, "column_1": 1, "correlation": 0.99535001355530017}]}
CorrelationBot was made by Steven Skoczen in the GreenKahuna Skunkworks. Send us a note if you enjoy it! It source code lives on github, and is MIT licensed.


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| 1 | package fr.sii.ogham.email.builder; | |
| 2 | ||
| 3 | import fr.sii.ogham.core.builder.AbstractParent; | |
| 4 | import fr.sii.ogham.core.builder.Builder; | |
| 5 | import fr.sii.ogham.html.inliner.ImageInliner; | |
| 6 | import fr.sii.ogham.html.inliner.impl.jsoup.JsoupBase64ImageInliner; | |
| 7 | ||
| 8 | /** | |
| 9 | * Configures how images defined in the HTML template are inlined (converted to | |
| 10 | * base64). | |
| 11 | * | |
| 12 | * For example, if your template contains the following HTML code: | |
| 13 | * | |
| 14 | *
 | |
| 15 | * {@code | |
| 16 | *  | |
| 17 | * } | |
| 18 | *
 | |
| 19 | * | |
| 20 | * Then the image will be loaded from the classpath and encoded into a base64 | |
| 21 | * string. This base64 string is used in the src attribute of the {@code }. | |
| 22 | * | |
| 23 | * This builder only provides one implementation that uses | |
| 24 | * jsoup to parse HTML content and then | |
| 25 | * converts image content to base64. | |
| 26 | * | |
| 27 | * @author Aurélien Baudet | |
| 28 | * | |
| 29 | */ | |
| 30 |
1
1. build : All methods instructions replaced by: return null; → NO_COVERAGE |
public class Base64InliningBuilder extends AbstractParent<ImageInliningBuilder> implements Builder<ImageInliner> { |
| 31 | /** | |
| 32 | * Initializes with the parent (used when calling {@link #and()} method for | |
| 33 | * fluent chaining). | |
| 34 | * | |
| 35 | * @param parent | |
| 36 | * the parent builder | |
| 37 | */ | |
| 38 | public Base64InliningBuilder(ImageInliningBuilder parent) { | |
| 39 | super(parent); | |
| 40 | } | |
| 41 | ||
| 42 | @Override | |
| 43 | public ImageInliner build() { | |
| 44 |
5
1. build : All methods instructions replaced by: return null; → NO_COVERAGE 2. build : All methods instructions replaced by: return null; → SURVIVED 3. build : All methods instructions replaced by: return null; → SURVIVED 4. build : All methods instructions replaced by: return null; → SURVIVED 5. build : All methods instructions replaced by: return null; → TIMED_OUT |
return new JsoupBase64ImageInliner(); |
| 45 | } | |
| 46 | ||
| 47 | } | |
Mutations | ||
| 30 |
1.1 |
|
| 44 |
1.1 2.2 3.3 4.4 5.5 |


--- layout: post permalink: /2006/04/19/keep_tabs_on_unoh_labs.html title: "Keep Tabs on Unoh Labs" date: 2006-04-19T15:20:36.00+09:00 categories: - "お知らせ" ---
Unoh Inc. the innovator of creations introduces the grand opening of Unoh Labs. Unoh Labs is where you can keep tabs on what’s coming next of Unoh Inc.’s services. New business ideas under construction will be introduced to you from this lab in a demo version until it’s up and running for good. Unoh Inc. is devoted to constantly providing refreshing Internet services. Be sure to check it our from time to time to be posted on Unoh Inc.’s latest projects. Below are introductions of what’s already been taken place at Unoh Inc. Don’t miss it!
I spy jSpy
jSpy introduces you to the world of Japanese tech—some, you’ve never imagined!
Make a Boom with Kanabun
Stimulate your brain with Kanabun by forming simple words with the given Japanese alphabet. Great for entertaining kids and friendly to foreigners who are trying to learn Japanese.


Guidance
Describes the job role that an apprentice will be doing and the skills required of them by the engineering sector.
PDF , 40.3KB , 2 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 671KB , 19 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
This document is relevant to:
The approved standard outlines the skills, knowledge and behaviours required of the apprentice and the job they will need to be able to do by the time they have completed their apprenticeship.
This standard is ready to use.
If you’d like to get involved and contribute to the development of the NDT operator standard, please read the guidance for trailblazers , and email the trailblazer contact<EMAIL_ADDRESS>.
The standard for a NDT operator was developed by:
Funding band (6 = highest 1 = lowest): 4
Maximum core government contribution: £8,000
Read the funding rules for apprenticeship standards for further information.
Published: 11 February 2016
Updated: 22 August 2016
From: Skills Funding Agency
Part of: Apprenticeship standards Apprenticeships


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vignettes/cytominer-pipeline.Rmd
cytominer-pipeline.Rmd
## NULL
Typical morphological profiling datasets have millions of cells and hundreds of features per cells. When working with this data, you must
clean the data
normalize the features so that they are comparable across experiments
transform the features so that their distributions are well-behaved ( i.e., bring them in line with assumptions we want to make about their disributions)
select features based on their quality
aggregate the single-cell data, if needed
The cytominer package makes these steps fast and easy.
First, load the data, which is stored in a database backend created using https://github.com/cytomining/cytominer-database.
fixture <-
system.file("extdata", "fixture_intensities_shapes.sqlite",
package = "cytominer")
db <- DBI::dbConnect(RSQLite::SQLite(), fixture)
Then load associated metadata if it exists, and copy it to the backend so that we can use it later.
ext_metadata <-
readr::read_csv(system.file("extdata", "metadata.csv",
package = "cytominer")) %>%
dplyr::rename(g_well = Well)
##
## ── Column specification ────────────────────────────────────────────────────────
## cols(
## Well = col_character(),
## Type = col_character()
## )
ext_metadata <- dplyr::copy_to(db, ext_metadata)
Next, select a measurement table that you want to work. Here, we will pick intensities
but we can easily extend to using multiple or all measurement classes if needed by creating new views.
For this example, lets filter the data down to a few wells.
How many rows does this table have?
| n |
|---|
| 360 |
That actually 9 times the number of cells in this experiment (n = 40): each compartment and each channel gets its own row. Here, we have 3 compartments (cell, nucleus, cytoplasm) and 3 channels (CellMask, Hoechst, Alexa568). So that’s 3 x 3 x 40 = 360.
Next, do some setup stuff that we will need later
Let’s remove cells that come from images that were marked as having debris
debris_removed <-
measurements %>% dplyr::filter(q_debris == 0)
Then, remove cells where all the measurements are NA’s - this may happen if the identified cell mask was too small to measure any of the features.
na_rows_removed <-
cytominer::drop_na_rows(
population = debris_removed,
variables = variables
) %>%
dplyr::compute()
We need to normalize the data so that
features are on the same scale
plate-to-plate variation is reduced
The default for doing this is standardization
. Here, we take all the cells from control wells in the experiment (this is where the external metadata gets used) and compute normalizations parameters from that (in this case, just the mean and s.d.) and then apply it to the whole dataset (i.e. the population)
normalized <-
cytominer::normalize(
population = na_rows_removed %>%
dplyr::collect(),
variables = variables,
strata = c("g_plate", "g_pattern", "g_channel"),
sample =
na_rows_removed %>%
dplyr::inner_join(
ext_metadata %>%
dplyr::filter(Type == "ctrl") %>%
dplyr::select(g_well)
) %>% dplyr::collect()
)
## Joining, by = "g_well"
normalized %<>% dplyr::collect()
In some cases, we may have features that have no variance at all (e.g. Euler number). If these features have not already been removed by this stage, the standardization step will results in all values for that feature being NA ( because s.d. = 0). Lets remove them:
First, count how many cells have NA values per feature:
na_frequency <-
cytominer::count_na_rows(
population = normalized,
variables = variables)
na_frequency %>%
tidyr::gather(feature, na_count) %>%
knitr::kable()
| feature | na_count |
|---|---|
| m_intensities_first_quartile | 0 |
| m_intensities_integrated | 0 |
| m_intensities_maximum | 0 |
| m_intensities_mean | 0 |
| m_intensities_median | 0 |
| m_intensities_median_absolute_deviation | 0 |
| m_intensities_minimum | 0 |
| m_intensities_standard_deviation | 0 |
| m_intensities_third_quartile | 0 |
As it turns out, no feature has NA in this example. But lets run this cleaning operation anyway (no features will be dropped)
cleaned <-
cytominer::variable_select(
population = normalized,
variables = variables,
operation = "drop_na_columns"
)
variables <-
colnames(cleaned) %>%
stringr::str_subset("^m_")
Tranform the data so that assumptions we may later make about the data distribution are satisfied (e.g. Gaussianity). The default here is generalized_log
.
transformed <-
cytominer::transform(
population = cleaned,
variables = variables
)
Finally, we typically perform feature selection on the data. Feature selection is an expensive operation, so we usually want to train the feature selection model on a sample of the dataset. Here, we choose to aggregate the data instead of sampling it (i.e. collapse it to per-well aggregates)
aggregated <-
cytominer::aggregate(
population = transformed,
variables = variables,
strata = groupings
) %>%
dplyr::collect()
variables <-
colnames(aggregated) %>%
stringr::str_subset("^m_")
… and then apply feature selection on the per-cell data. Here correlation_threshold
- a method that reduces the redundancy of features - is used.
selected <-
cytominer::variable_select(
population = transformed,
variables = variables,
sample = aggregated,
operation = "correlation_threshold"
) %>%
dplyr::collect()
And now lets take a glimpse at the data!
selected %>%
dplyr::glimpse()
## Rows: 315
## Columns: 10
## $ g_plate <chr> "110000106828", "110000106828"…
## $ g_well <chr> "A01", "A01", "A01", "A01", "A…
## $ g_image <chr> "5a822385194aceb347a07f27285db…
## $ g_pattern <chr> "Cells", "Cells", "Cells", "Ce…
## $ g_channel <chr> "Alexa568", "Alexa568", "Alexa…
## $ q_debris <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ m_intensities_integrated <dbl> -1.48831626, -0.06761634, -0.9…
## $ m_intensities_maximum <dbl> -1.25783096, -1.51483166, -1.5…
## $ m_intensities_median_absolute_deviation <dbl> -1.4847843, -0.5372476, -1.103…
## $ m_intensities_minimum <dbl> -2.3552231, -1.9025552, -0.109…
DBI::dbDisconnect(db)


JSDOc
What is JSDoc?
- JSDoc documentation generator tool.
- you can use on any Javascript project
- It adds Strong type Checking.
- You can integrate with the typescript service on vscode
- Code documentation dissolves those doubts, helping you and other developers to understand
how to use the
software you wrote.


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Hover the element to see the changing uiModifer or click the element to see the changing uiState.
The component knows about its uiState which is {{ uiState }}
and its uiModifier which is {{ uiModifier }}
.
The full theme for element myelement
looks like this:
{{ getStyle('myelement') | json}}
The full theme for element mysvg
looks like this:
{{ getStyle('mysvg') | json}}


public class FakeEntity
extends java.lang.Object
| Modifier and Type | Class and Description |
|---|---|
static class |
FakeEntity.Builder |
| Modifier and Type | Method and Description |
|---|---|
static FakeEntity.Builder |
builder()
Creates and returns a new builder.
|
void |
despawn(java.util.Collection<Player> players)
Despawns the entity for a collection of players.
|
void |
despawn(java.util.List<Player> players)
Despawns the entity for a list of players.
|
void |
despawn(Player... players)
Despawns the entity for an array of players.
|
void |
despawn(Player player)
Despawns the entity for the player.
|
Text |
getCustomName()
Gets the custom name of the entity.
|
int |
getEntityID()
Gets the ID of the entity.
|
float |
getHeadRotation()
Gets the head rotation of the entity.
|
ImmutableLocation |
getLocation()
Gets the location of the entity.
|
java.lang.String |
getName()
Gets the name of the entity.
|
java.lang.Object |
getPassenger()
Gets the passenger of the entity.
|
org.joml.Vector3d |
getPosition()
Gets the position of the entity.
|
org.joml.Vector2f |
getRotation()
Gets the rotation of the entity.
|
boolean |
hasCustomName()
Checks if the entity has a custom name.
|
boolean |
hasPassenger()
Checks if the entity has a passenger.
|
boolean |
isCustomNameVisible()
Checks if the custom name is visible.
|
void |
remove()
Removes the entity.
|
void |
removePassenger(java.util.Collection<Player> players)
Removes the passenger from the entity for a collection of players
|
void |
setCustomName(java.util.Collection<Player> players,
java.lang.String customName)
Sets the custom name of the entity for a collection of players
|
void |
setCustomNameVisible(java.util.Collection<Player> players,
boolean visible)
Sets whether or not the entity's custom name is visible for the
collection of players.
|
void |
setGlowing(java.util.Collection<Player> players,
boolean glowing)
Sets whether or not the entity is glowing for a collection of players
|
void |
setGravity(java.util.Collection<Player> players,
boolean gravity)
Sets whether or not the entity has gravity for a collection of players
|
void |
setHeadRotation(java.util.Collection<Player> players,
float headRotation)
Sets the head rotation of the entity for a collection of players
|
void |
setInvisible(java.util.Collection<Player> players,
boolean invisible)
Sets whether or not the entity is invisible for the collection of
players.
|
void |
setLocation(java.util.Collection<Player> players,
ImmutableLocation location)
Sets the location of the entity for a collection of players
|
void |
setOnFire(java.util.Collection<Player> players,
boolean onFire)
Sets whether or not the entity is on fire for a collection of players
|
void |
setPassenger(java.util.Collection<Player> players,
org.bukkit.entity.Entity entity)
Sets the passenger of the entity for a collection of players
|
void |
setPassenger(java.util.Collection<Player> players,
FakeEntity other)
Sets the passenger of the entity for a collection of players
|
void |
setPassenger(java.util.Collection<Player> players,
java.lang.Object entity)
Sets the passenger of the entity for a collection of players
|
void |
setPassenger(java.util.Collection<Player> players,
Player player)
Sets the passenger of the entity for a collection of players
|
void |
setPosition(java.util.Collection<Player> players,
org.joml.Vector3d position)
Sets the position of the entity for a collection of players
|
void |
setRotation(java.util.Collection<Player> players,
org.joml.Vector2f rotation)
Sets the rotation of the entity for a collection of players
|
void |
setSilent(java.util.Collection<Player> players,
boolean silent)
Sets whether or not the entity is silent for a collection of players
|
void |
spawn(java.util.Collection<Player> players)
Spawns the entity for a collection of players.
|
void |
spawn(java.util.List<Player> players)
Spawns the entity for a list of players.
|
void |
spawn(Player... players)
Spawns the entity for an array of players.
|
void |
spawn(Player player)
Spawns the entity for the player.
|
public static FakeEntity.Builder builder()
public void remove()
public void spawn(Player player)
player
- The playerpublic void spawn(Player... players)
players
- The array of playerspublic void spawn(java.util.List<Player> players)
players
- The list of playerspublic void spawn(java.util.Collection<Player> players)
players
- The collection of playerspublic void despawn(Player player)
player
- The playerpublic void despawn(Player... players)
players
- The array of playerspublic void despawn(java.util.List<Player> players)
players
- The list of playerspublic void despawn(java.util.Collection<Player> players)
players
- The collection of playerspublic void setLocation(java.util.Collection<Player> players, ImmutableLocation location)
players
- The collection of playerslocation
- The locationpublic void setPosition(java.util.Collection<Player> players, org.joml.Vector3d position)
players
- The collection of playersposition
- The positionpublic void setRotation(java.util.Collection<Player> players, org.joml.Vector2f rotation)
players
- The collection of playersrotation
- The rotationpublic void setHeadRotation(java.util.Collection<Player> players, float headRotation)
players
- The collection of playersheadRotation
- The head rotationpublic void setCustomName(java.util.Collection<Player> players, java.lang.String customName)
players
- The collection of playerscustomName
- The custom namepublic void setCustomNameVisible(java.util.Collection<Player> players, boolean visible)
players
- The collection of playersvisible
- Whether or not the custom name is visiblepublic void setSilent(java.util.Collection<Player> players, boolean silent)
players
- The collection of playerssilent
- Whether or not the entity is silentpublic void setGravity(java.util.Collection<Player> players, boolean gravity)
players
- The collection of playersgravity
- Whether or not the entity has gravitypublic void setOnFire(java.util.Collection<Player> players, boolean onFire)
players
- The collection of playersonFire
- Whether or not the entity is on firepublic void setInvisible(java.util.Collection<Player> players, boolean invisible)
players
- The collection of playersinvisible
- Whether or not the entity is invisiblepublic void setGlowing(java.util.Collection<Player> players, boolean glowing)
players
- The collection of playersglowing
- Whether or not the entity is glowingpublic void setPassenger(java.util.Collection<Player> players, FakeEntity other)
players
- The collection of playersother
- The passengerpublic void setPassenger(java.util.Collection<Player> players, Player player)
players
- The collection of playersplayer
- The passengerpublic void setPassenger(java.util.Collection<Player> players, org.bukkit.entity.Entity entity)
players
- The collection of playersentity
- The passengerpublic void setPassenger(java.util.Collection<Player> players, java.lang.Object entity)
players
- The collection of playersentity
- The passengerpublic void removePassenger(java.util.Collection<Player> players)
players
- The collection of playerspublic boolean hasPassenger()
public int getEntityID()
public ImmutableLocation getLocation()
public org.joml.Vector3d getPosition()
public org.joml.Vector2f getRotation()
public float getHeadRotation()
public java.lang.String getName()
public Text getCustomName()
public boolean isCustomNameVisible()
public boolean hasCustomName()
public java.lang.Object getPassenger()


We extend infrastructure!
- syndicate innovative architectures
- drive bricks-and-clicks applications
- drive cross-media architectures
- grow proactive interfaces
- leverage 24/7 content
- scale seamless networks
- transition transparent relationships
- aggregate extensible functionalities
- deploy viral technologies
- synergize strategic e-business
- deliver sticky systems
- engage clicks-and-mortar deliverables


Data Fields | |
| int | iNumLinkAdapter |
| Number of adapters in this combination. | |
| int | iAdaptLink [3] |
| A list of ADL indexes of the linked adapters in this combination. |
This structure is used to store information about the CrossfireX chains combination for a particular adapter. This structure is used by the ADL_Adapter_Crossfire_Caps(), ADL_Adapter_Crossfire_Get(), and ADL_Adapter_Crossfire_Set() functions.
Number of adapters in this combination.
| int ADLCrossfireComb::iAdaptLink[3] |
A list of ADL indexes of the linked adapters in this combination.


- teardown() - Method in class core.player.AbstractPlayer
-
Closes the agent, writing actions to file.
- TeleportToExit - Class in ontology.effects.binary
-
Created with IntelliJ IDEA.
- TeleportToExit(InteractionContent) - Constructor for class ontology.effects.binary.TeleportToExit
-
- Termination - Class in core.termination
-
Created with IntelliJ IDEA.
- Termination() - Constructor for class core.termination.Termination
-
- TerminationContent - Class in core.content
-
Created with IntelliJ IDEA.
- TerminationContent() - Constructor for class core.content.TerminationContent
-
Default constructor.
- TerminationContent(String) - Constructor for class core.content.TerminationContent
-
Constructor that extracts the contents from a String line
- terminationHandling() - Method in class core.game.Game
-
Handles termination conditions, for every termination defined in 'terminations' array.
- terminations - Variable in class core.game.Game
-
Termination set conditions to finish the game.
- Test - Class in <Unnamed>
-
Created with IntelliJ IDEA.
- Test() - Constructor for class Test
-
- theta() - Method in class tools.Vector2d
-
Returns the atan2 of this vector.
- tick(Types.ACTIONS) - Method in class core.game.ForwardModel
-
Performs one tick for the game: calling update(this) in all sprites.
- tick() - Method in class core.game.Game
-
Performs one tick for the game: calling update(this) in all sprites.
- Timeout - Class in core.termination
-
Created with IntelliJ IDEA.
- Timeout() - Constructor for class core.termination.Timeout
-
- Timeout(TerminationContent) - Constructor for class core.termination.Timeout
-
- tools - package tools
-
- toString() - Method in class core.content.Content
-
Returns the original line of the content.
- toString() - Method in class core.content.SpriteContent
-
Returns the original line of the content.
- toString() - Method in class core.Node
-
Parses the node and children to a String for debug and printing.
- toString() - Method in class core.VGDLSprite
-
Returns a string representation of this string, including its name and position.
- toString() - Method in class tools.ElapsedCpuTimer
-
- toString() - Method in class tools.StatSummary
-
- toString() - Method in class tools.Vector2d
-
Returns a representative String of this vector.
- total - Variable in class ontology.sprites.producer.SpawnPoint
-
- totValue - Variable in class controllers.sampleMCTS.SingleTreeNode
-
- TransformTo - Class in ontology.effects.unary
-
Created with IntelliJ IDEA.
- TransformTo(InteractionContent) - Constructor for class ontology.effects.unary.TransformTo
-
- treePolicy() - Method in class controllers.sampleMCTS.SingleTreeNode
-
- triPoints(Rectangle, Vector2d) - Static method in class tools.Utils
-
Returns the Polygon for a triangle in the middle of the provided
rect, pointing in the orientation
(given as angle from upwards, or orientation vector)
- TurnAround - Class in ontology.effects.unary
-
Created with IntelliJ IDEA.
- TurnAround(InteractionContent) - Constructor for class ontology.effects.unary.TurnAround
-
- type - Variable in class tools.ElapsedCpuTimer
-
- TYPE_AVATAR - Static variable in class ontology.Types
-
- TYPE_FROMAVATAR - Static variable in class ontology.Types
-
- TYPE_MOVABLE - Static variable in class ontology.Types
-
- TYPE_NPC - Static variable in class ontology.Types
-
- TYPE_PORTAL - Static variable in class ontology.Types
-
- TYPE_RESOURCE - Static variable in class ontology.Types
-
- TYPE_STATIC - Static variable in class ontology.Types
-
- Types - Class in ontology
-
Created with IntelliJ IDEA.
- Types() - Constructor for class ontology.Types
-
- Types.ACTIONS - Enum in ontology
-
- Types.WINNER - Enum in ontology
-


 Players try to figure out the Christmas Word or Phrase by guessing letters. After 6 wrong guesses or if the player runs out of time, the player loses.
Good Luck!
X


---
layout: post
title: 3/14
date: '2013-03-15T10:21:00.001-06:00'
author: Jacob .
tags:
modified_time: '2013-03-15T10:21:03.538-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-1628559494951548952
blogger_orig_url: http://www.svlark.com/2013/03/314.html
---
Audrey and I struggled with lesson 78 this evening. I'm observing a definite impact of the time of day at which we attempt the lesson. We do much better with the lessons early in the morning, when we are both well-rested.
233.6


Knowledge base¶
Using CMake¶
CMake can be used to build more complex projects in build.sh
or bld.bat
scripts.
If you are using cmake, be sure to make it a build requirement in the build
section. You
may also need to include make
or ninja
depending on your platform and build tools.
On Windows, you can also use nmake
to build, but that does not need to be explicitly included.
requirements:
build:
- cmake
- make # [not win]
- ninja # [win]
For CMake projects using the FindPython3
module, you can tell CMake which Python to use by passing -DPython3_EXECUTABLE="$PYTHON"
(macOS or Linux) or -DPython3_EXECUTABLE="%PYTHON%"
(Windows) as a command line option.
Older CMake projects may require similar, but slightly different options.
Some optional, but useful CMake options:
-DCMAKE_BUILD_TYPE=Release
Configure as release build. This is better done on the initialcmake
call as some packages construct different build configurations depending on this flag.
-DCMAKE_INSTALL_PREFIX=$PREFIX
Specify the install location.
-DCMAKE_INSTALL_LIBDIR=lib
Libraries will land in $PREFIX/lib, sometimes projects install into lib64 or similar but on conda-forge we keep shared libraries in simply lib.
-DBUILD_SHARED_LIBS=ON
Instruct CMake to build shared libraries instead of static ones.
Here are some basic commands to get you started. These are dependent on your source code layout and aren’t intended to be used “as is”.
CMake lines for build.sh (macOS/Linux):
cmake CMakeLists.txt -DPython3_EXECUTABLE="$PYTHON"
cmake --build . --config Release
CMake lines for bld.bat (Windows):
cmake -G "NMake Makefiles" -DCMAKE_BUILD_TYPE=Release -DPython3_EXECUTABLE="%PYTHON%"
if errorlevel 1 exit /b 1
cmake --build . --config Release
if errorlevel 1 exit /b 1
See also the bld.bat
in the Windows section below for an additional example.
Other useful cmake
options are -B<directory>
and -S<directory>
to specify build and source
directories.
Moving from an autotools build to a CMake build¶
Some packages maintain an autotools build and a cmake build. Some maintainers would like to switch to a cmake build because that provides windows builds easily. These builds are mostly not ABI compatible with each other. Here are some things you should check,
Check that both libraries have the same SONAME on linux
Run
readelf -d /path/to/lib.so
Check that both libraries have the same install name and have the same compatibility and current versions.
Run
otool -L /path/to/lib.dylib
. The second line should give you the three pieces of informationCheck that the file list is the same in both.
Check that you use the same options as the same autoconf build.
Check that the symbols exported are the same.
Check that additional packaging information stays the same, e.g. is the same pkg-config information provided.
Particularities on Windows¶
This document presents conda-forge and conda-build information and examples when building on Windows.
Local testing¶
The first thing that you should know is that you can locally test Windows builds of your packages even if you don’t own a Windows machine. Microsoft makes available free, official Windows virtual machines (VMs) at this website. If you are unfamiliar with VM systems or have trouble installing Microsoft’s, please use a general web search to investigate — while these topics are beyond the scope of this documentation, there is ample discussion of them on the broader Internet.
In order to compile native code (C, C++, etc.) on Windows, you will need to install Microsoft’s Visual C++ build tools on your VM. You must install particular versions of these tools — this is to maintain compatibility between compiled libraries used in Python, as described on this Python wiki page. The current relevant versions are:
For Python 2.7: Visual C++ 9.0
For Python 3.5–3.7: Visual C++ 14.0
While you can obtain these tools by installing the right version of the full Visual Studio development environment, you can save a lot of time and bandwidth by installing standalone “build tools” packages. The links are:
For Python 2.7: Microsoft Visual C++ Compiler for Python 2.7.
For Python 3.5–3.7: Microsoft Build Tools for Visual Studio 2017.
Please see the Python wiki page on Windows compilers if you need more information.
Simple CMake-Based bld.bat
¶
Some projects provide hooks for CMake to build the project. The following
example bld.bat
file demonstrates how to build a traditional, out-of-core
build for such projects.
CMake-based bld.bat:
setlocal EnableDelayedExpansion
:: Make a build folder and change to it.
mkdir build
cd build
:: Configure using the CMakeFiles
cmake -G "NMake Makefiles" ^
-DCMAKE_INSTALL_PREFIX:PATH="%LIBRARY_PREFIX%" ^
-DCMAKE_PREFIX_PATH:PATH="%LIBRARY_PREFIX%" ^
-DCMAKE_BUILD_TYPE:STRING=Release ^
..
if errorlevel 1 exit 1
:: Build!
nmake
if errorlevel 1 exit 1
:: Install!
nmake install
if errorlevel 1 exit 1
The following feedstocks are examples of this build structure deployed:
Building for different VC versions¶
On Windows, different Visual C versions have different ABI and therefore a package needs to be built for different
Visual C versions. Packages are tied to the VC version that they were built with and some packages have specific
requirements of the VC version. For example, python 2.7 requires vc 9
and python 3.5 requires vc 14
.
With conda-build 3.x
, vc
can be used as a selector when using the compiler
jinja syntax.
requirements:
build:
- {{ compiler('cxx') }}
To skip building with a particular vc
version, add a skip statement.
build:
skip: true # [win and vc<14]
requirements:
build:
- {{ compiler('cxx') }}
Special Dependencies and Packages¶
Compilers¶
Compilers are dependencies with a special syntax and are always added to requirements/build
.
There are currently three supported compilers:
c
cxx
fortran
A package that needs all three compilers would define
requirements:
build:
- {{ compiler('c') }}
- {{ compiler('cxx') }}
- {{ compiler('fortran') }}
Note
Appropriate compiler runtime packages will be automatically added to the package’s runtime requirements and therefore
there’s no need to specify libgcc
or libgfortran
. There is additional information about how conda-build 3 treats
compilers in the conda docs.
Core Dependency Tree Packages (CDTs)¶
Dependencies outside of the conda-forge
channel should be avoided (see Avoid external dependencies).
However, there are a few exceptions: some dependencies are so close to the system
that they are not packaged with conda-forge
. These dependencies have to be satisfied with
Core Dependency Tree (CDT) packages. A CDT package consists of repackaged CentOS binaries from the
appropriate version, either 6 or 7 depending on user choice and platform. We manage the build of CDT
packages using a centralized repo, conda-forge/cdt-builds,
as opposed to generating feedstocks for them. (Note that historically we did use feedstocks but this
practice has been deprecated.) To add a new CDT, make a PR on the
conda-forge/cdt-builds repo.
In conda-forge
the primary usages of CDTs is currently for packages that link against libGL.
libGL¶
In addition to the required compilers {{ compiler('c') }}
and/or {{ compiler('cxx') }}
,
the following CDT packages are required for linking against libGL:
requirements:
build:
- {{ cdt('mesa-libgl-devel') }} # [linux]
- {{ cdt('mesa-dri-drivers') }} # [linux]
- {{ cdt('libselinux') }} # [linux]
- {{ cdt('libxdamage') }} # [linux]
- {{ cdt('libxxf86vm') }} # [linux]
- {{ cdt('libxext') }} # [linux]
host:
- xorg-libxfixes # [linux]
If you need a fully functional binary in the test phase, you have to also provide the shared
libraries via yum_requirements.txt
(see yum_requirements.txt).
mesa-libGL
mesa-dri-drivers
libselinux
libXdamage
libXxf86vm
libXext
You will need to re-render the feedstock after making these changes.
Building Against NumPy¶
Packages that link against NumPy need special treatment in the dependency section.
Finding numpy.get_include()
in setup.py
or cimport
statements in .pyx
or .pyd
files are a telltale sign that the package links against NumPy.
In the case of linking, you need to use the pin_compatible
function to ensure having a compatible numpy version at run time:
host:
- numpy
run:
- {{ pin_compatible('numpy') }}
At the time of writing, above is equivalent to the following,
host:
- numpy 1.14.6
run:
- numpy >=1.14.6,<2.0.a0
Notes
1. You still need to respect minimum supported version of numpy
for the package!
That means you cannot use numpy 1.9
if the project requires at least numpy 1.12
,
adjust the minimum version accordingly!
host:
- numpy 1.12.*
run:
- {{ pin_compatible('numpy') }}
2. if your package supports numpy 1.7
, and you are brave enough :-),
there are numpy
packages for 1.7
available for Python 2.7 in the channel.
JupyterLab Extensions¶
A typical JupyterLab extension has both Python and JavaScript components.
These should be packaged together, to prevent node from being needing to
grab the JavaScript side of the package on the user’s machine. To package
an extension, the build should have the following meta.yaml
snippet:
build:
noarch: python
requirements:
host:
- python
- nodejs
- pip
run:
- python
- nodejs
- jupyterlab >=2
Please use the following build.sh
script in your recipe:
#!/usr/bin/env bash
set -ex
$PYTHON -m pip install . -vv
npm pack ${PKG_NAME}@${PKG_VERSION}
mkdir -p ${PREFIX}/share/jupyter/lab/extensions/js
cp ${PKG_NAME}-${PKG_VERSION}.tgz ${PREFIX}/share/jupyter/lab/extensions/js
Since this is a noarch recipe, the build script only needs to run on linux-64
.
Also note that we do not need to run jupyter labextension install
or
jupyter lab build
as part of the package build or in any post-link scripts.
This is because JupyterLab will run the build step itself when it is next run.
The ${PREFIX}/share/jupyter/lab/extensions/js
directory which JupyterLab
knows to build from when performing this build step.
Message passing interface (MPI)¶
Note
This section originates from Min’s notes: https://hackmd.io/ry4uI0thTs2q_b4mAQd_qg
MPI Variants in conda-forge¶
How are MPI variants best handled in conda-forge?
There are a few broad cases:
package requires a specific MPI provider (easy!)
the package works with any MPI provider (e.g. mpich, openmpi)
the package works with/without MPI
Note that sometimes users want to use packages in conda-forge
built against
our MPI libraries but linked to external MPI libraries at runtime. If you are interested
in this procedure, see Using External Message Passing Interface (MPI) Libraries
for details.
Building MPI variants¶
In conda_build_config.yaml:
mpi:
- mpich
- openmpi
In meta.yaml:
requirements:
host:
- {{ mpi }}
And rerender with:
conda-smithy rerender -c auto
to produce the build matrices.
Current builds of both mpi providers have run_exports which is equivalent to adding:
requirements:
run:
- {{ pin_run_as_build(mpi, min_pin='x.x', max_pin='x.x') }}
If you want to do the pinning yourself (i.e. not trust the mpi providers, or pin differently, add):
# conda_build_config.yaml
pin_run_as_build:
mpich: x.x
openmpi: x.x
# meta.yaml
requirements:
host:
- {{ mpi }}
run:
- {{ mpi }}
Including a no-mpi build¶
Some packages (e.g. hdf5) may want a no-mpi build, in addition to the mpi builds. To do this, add nompi to the mpi matrix:
mpi:
- nompi
- mpich
- openmpi
and apply the appropriate conditionals in your build:
requirements:
host:
- {{ mpi }} # [mpi != 'nompi']
run:
- {{ mpi }} # [mpi != 'nompi']
Preferring a provider (usually nompi)¶
Up to here, mpi providers have no explicit preference. When choosing an MPI provider, the mutual exclusivity of
the mpi
metapackage allows picking between mpi providers by installing an mpi provider, e.g.
conda install mpich ptscotch
or
conda install openmpi ptscotch
This doesn’t extend to nompi
, because there is no nompi
variant of the mpi metapackage. And there probably
shouldn’t be, because some packages built with mpi doesn’t preclude other packages in the env that may have an mpi variant
from using the no-mpi variant of the library (e.g. for a long time, fenics used mpi with no-mpi hdf5 since there was no
parallel hdf5 yet. This works fine, though some features may not be available).
Typically, if there is a preference it will be packaged with a nompi variant, where the serial build is preferred, such that installers/requirers of the package only get the mpi build if explicitly requested.
Outdated
To de-prioritize a build in the solver, it can be given a special track_features
field:
All builds other than the priority build should have a
track_features
fieldBuild strings can be used to allow downstream packages to make explicit dependencies.
No package should actually have the tracked feature.
Note
update: track_features deprioritization has too high priority in the solver, preventing a package from adopting a variant of a dependency after some builds have already been made. Instead, use a build number offset to apply the preference at a more appropriate level.
Here is an example build section:
{% if mpi == 'nompi' %}
# prioritize nompi variant via build number
{% set build = build + 100 %}
{% endif %}
build:
number: {{ build }}
# add build string so packages can depend on
# mpi or nompi variants explicitly:
# `pkg * mpi_mpich_*` for mpich
# `pkg * mpi_*` for any mpi
# `pkg * nompi_*` for no mpi
{% set mpi_prefix = "mpi_" + mpi %}
{% else %}
{% set mpi_prefix = "nompi" %}
{% endif %}
string: "{{ mpi_prefix }}_h{{ PKG_HASH }}_{{ build }}"
Note
{{ PKG_HASH }}
avoids build string collisions on most variants,
but not on packages that are excluded from the default build string,
e.g. Python itself. If the package is built for multiple Python versions, use:
string: "{{ mpi_prefix }}_py{{ py }}h{{ PKG_HASH }}_{{ build }}"
as seen in mpi4py
This build section creates the following packages:
pkg-x.y.z-mpi_mpich_h12345_0
pkg-x.y.z-mpi_openmpi_h23456_0
pkg-x.y.z-nompi_h34567_100
Which has the following consequences:
The
nompi
variant is preferred, and will be installed by default unless an mpi variant is explicitly requested.mpi variants can be explicitly requested with
pkg=*=mpi_{{ mpi }}_*
any mpi variant, ignoring provider, can be requested with
pkg=*=mpi_*
nompi variant can be explicitly requested with
pkg=*=nompi_*
If building with this library creates a runtime dependency on the variant, the build string pinning can be added to run_exports
.
For example, if building against the nompi variant will work with any installed version, but building with a given mpi provider requires running with that mpi:
build:
...
{% if mpi != 'nompi' %}
run_exports:
- {{ name }} * {{ mpi_prefix }}_*
{% endif %}
Remove the if mpi...
condition if all variants should create a strict runtime dependency based on the variant
chosen at build time (i.e. if the nompi build cannot be run against the mpich build).
Complete example¶
Combining all of the above, here is a complete recipe, with:
nompi, mpich, openmpi variants
run-exports to apply mpi choice made at build time to runtime where nompi builds can be run with mpi, but not vice versa.
nompi variant is preferred by default
only build nompi on Windows
This matches what is done in hdf5.
# conda_build_config.yaml
mpi:
- nompi
- mpich # [not win]
- openmpi # [not win]
# meta.yaml
{% set name = 'pkg' %}
{% set build = 1000 %}
# ensure mpi is defined (needed for conda-smithy recipe-lint)
{% set mpi = mpi or 'nompi' %}
{% if mpi == 'nompi' %}
# prioritize nompi variant via build number
{% set build = build + 100 %}
{% endif %}
build:
number: {{ build }}
# add build string so packages can depend on
# mpi or nompi variants explicitly:
# `pkg * mpi_mpich_*` for mpich
# `pkg * mpi_*` for any mpi
# `pkg * nompi_*` for no mpi
{% if mpi != 'nompi' %}
{% set mpi_prefix = "mpi_" + mpi %}
{% else %}
{% set mpi_prefix = "nompi" %}
{% endif %}
string: "{{ mpi_prefix }}_h{{ PKG_HASH }}_{{ build }}"
{% if mpi != 'nompi' %}
run_exports:
- {{ name }} * {{ mpi_prefix }}_*
{% endif %}
requirements:
host:
- {{ mpi }} # [mpi != 'nompi']
run:
- {{ mpi }} # [mpi != 'nompi']
And then a package that depends on this one can explicitly pick the appropriate mpi builds:
# meta.yaml
requirements:
host:
- {{ mpi }} # [mpi != 'nompi']
- pkg
- pkg * mpi_{{ mpi }}_* # [mpi != 'nompi']
run:
- {{ mpi }} # [mpi != 'nompi']
- pkg * mpi_{{ mpi }}_* # [mpi != 'nompi']
mpi-metapackage exclusivity allows mpi_*
to resolve the same as mpi_{{ mpi }}_*
if {{ mpi }}
is also a direct dependency, though it’s probably nicer to be explicit.
Just mpi example¶
Without a preferred nompi
variant, recipes that require mpi are much simpler. This is all that is needed:
# conda_build_config.yaml
mpi:
- mpich
- openmpi
# meta.yaml
requirements:
host:
- {{ mpi }}
run:
- {{ mpi }}
OpenMP¶
You can enable OpenMP on macOS by adding the llvm-openmp
package to the build
section of the meta.yaml
.
For Linux OpenMP support is on by default, however it’s better to explicitly depend on the libgomp package which is the OpenMP
implementation from the GNU project.
# meta.yaml requirements: build: - llvm-openmp # [osx] - libgomp # [linux]
Switching OpenMP implementation¶
On macOS, only LLVM’s OpenMP implementation llvm-openmp
is supported. This implementation is used even in Fortran code compiled
using GNU’s gfortran.
On Linux (except aarch64), packages are linked against GNU’s libgomp.so.1
, but the OpenMP library at install time can be
switched from GNU to LLVM by doing the following.
conda install _openmp_mutex=*=*_llvm
OpenMP library can be switched back to GNU’s libgomp by doing the following.
conda install _openmp_mutex=*=*_gnu
Note
OpenMP library switching is possible because LLVM’s implementation has the symbol’s from GNU in addition to the LLVM
ones (originally from Intel). An object file generated by gcc
, g++
or gfortran
will have GNU’s symbols and
therefore the underlying library can be switched.
However, an object file generated by clang
or clang++
will have LLVM’s symbols and therefore the underlying
OpenMP library cannot be switched to GNU’s library.
One reason you may wish to switch to LLVM is because the implementation is fork safe. One reason to keep using the
GNU implementation is that the OpenMP target offloading symbols in libgomp
like GOMP_target
are empty stubs
in LLVM and therefore does not work.
yum_requirements.txt¶
Dependencies can be installed into the build container with yum
, by listing package names line by line in a file
named yum_requirements.txt
in the recipe
directory of a feedstock.
There are only very few situations where dependencies installed by yum are acceptable. These cases include
satisfying the requirements of CDT packages during test phase
installing packages that are only required for testing
After changing yum_requirements.txt
, rerender to update the configuration.
BLAS¶
If a package needs one of BLAS, CBLAS, LAPACK, LAPACKE, use the following in the host of the recipe,
requirements:
host:
- libblas
- libcblas
- liblapack
- liblapacke
Note
You should specify only the libraries that the package needs. (i.e. if the package doesn’t need LAPACK, remove liblapack and liblapacke)
At recipe build time, above requirements would download the NETLIB’s reference implementations and build your recipe against those. At runtime, by default the following packages will be used.
- openblas # [not win]
- mkl # [win]
If a package needs a specific implementation’s internal API for more control you can have,
requirements:
host:
- {{ blas_impl }}
run:
- libblas * *{{ blas_impl }}
- {{ blas_impl }}
This would give you a matrix builds for different blas implementations. If you only want to support a specific blas implementation,
requirements:
host:
- openblas
run:
- libblas * *openblas
- openblas
Note
blas_*
features should not be used anymore.
Switching BLAS implementation¶
You can switch your BLAS implementation by doing,
conda install "libblas=*=*mkl"
conda install "libblas=*=*openblas"
conda install "libblas=*=*blis"
conda install "libblas=*=*netlib"
This would change the BLAS implementation without changing the conda packages depending on BLAS.
The following legacy commands are also supported as well.
conda install "blas=*=mkl"
conda install "blas=*=openblas"
conda install "blas=*=blis"
conda install "blas=*=netlib"
Note
If you want to commit to a specific blas implementation, you can prevent conda from switching back by pinning
the blas implementation in your environment. To commit to mkl, add blas=*=mkl
to
<conda-root>/envs/<env-name>/conda-meta/pinned
, as described in the
conda-docs.
How it works¶
At recipe build time, the netlib packages are used. This means that the downstream package will
link to libblas.so.3
in the libblas=*=*netlib
and will use only the reference
implementation’s symbols.
libblas
and libcblas
versioning is based on the Reference LAPACK versioning which at the
time of writing is 3.8.0
. Since the BLAS API is stable, a downstream package will only pin to
3.*
of libblas
and libcblas
. On the other hand, liblapack
and liblapacke
pins to
3.8.*
.
In addition to the above netlib package, there are other variants like libblas=*=*openblas
,
which has openblas
as a dependency and has a symlink from libblas.so.3
to libopenblas.so
.
libblas=3.8.0=*openblas
pins the openblas
dependency to a version that is known to support the
BLAS 3.8.0
API. This means that, at install time, the user can select what BLAS implementation
they like without any knowledge of the version of the BLAS implementation needed.
Matplotlib¶
matplotlib
on conda-forge
comes in two parts. The core library is in matplotlib-base
. The
actual matplotlib
package is this core library plus pyqt
. Most, if not all, packages that have
dependence at runtime on matplotlib
should list this dependence as matplotlib-base
unless they
explicitly need pyqt
. The idea is that a user installing matplotlib
explicitly would get a full
featured installation with pyqt
. However, pyqt
is a rather large package, so not requiring it
indirectly is better for performance. Note that you may need to include a yum_requirements.txt
file
in your recipe with
xorg-x11-server-Xorg
if you import parts of matplotlib
that link to libX11
.
pybind11
ABI Constraints¶
Sometimes when different python libraries using pybind11
interact via lower-level C++ interfaces,
the underlying ABI between the two libraries has to match. To ease this use case, we have a pybind11-abi
metapackage that can be used in the host
section of a build. Its version is pinned globally and it has a
run export on itself, meaning that builds with this package in host
will have a runtime constraint on it.
Further, the pybind11
has a run constraint on the ABI metapackage to help ensure consistent usage.
To use this package in a build, put it in the host environment like so
requirements:
host:
- pybind11-abi
Noarch builds¶
Noarch packages are packages that are not architecture specific and therefore only have to be built once.
Declaring these packages as noarch
in the build
section of the meta.yaml, reduces shared CI resources.
Therefore all packages that qualify to be noarch packages, should be declared as such.
Noarch python¶
The noarch: python
directive, in the build
section, makes pure-Python
packages that only need to be built once.
In order to qualify as a noarch python package, all of the following criteria must be fulfilled:
No compiled extensions
No post-link or pre-link or pre-unlink scripts
No OS-specific build scripts
No python version specific requirements
No skips except for python version. If the recipe is py3 only, remove skip statement and add version constraint on python in
host
andrun
section.
2to3
is not usedScripts argument in setup.py is not used
If
console_scripts
entry_points
are defined insetup.py
orsetup.cfg
, they are also listed in thebuild
section ofmeta.yaml
No activate scripts
Not a dependency of conda
Note
While noarch: python
does not work with selectors, it does work with version constraints.
skip: True # [py2k]
can be replaced with a constrained python version in the host and run subsections:
say python >=3
instead of just python
.
Note
Only console_scripts
entry points have to be listed in meta.yaml. Other entry points do not conflict
with noarch
and therefore do not require extra treatment.
Note
noarch
is a statement about the package’s source code and not its install environment. A package is still considered
noarch
even if one of its dependencies is not available on a given platform. If this is the case, conda will
display a helpful error message describing which dependency couldn’t be found when it tries to install the package.
If the dependency is later made available, your package will be installable on that platform without having to make
any changes to the feedstock. However, keep in mind that since noarch
packages are built on Linux, all
dependencies must be available on Linux.
If an existing python package qualifies to be converted to a noarch package, you can request the required changes
by opening a new issue and including @conda-forge-admin, please add noarch: python
.
Noarch generic¶
Todo
add some information on r packages which make heavy use of noarch: generic
Build matrices¶
Currently, python, vc, r-base
will create a matrix of jobs for each supported version. If python
is only a
build dependency and not a runtime dependency (eg: build script of the package is written in Python, but the
package is not dependent on python), use build
section
Following implies that python
is only a build dependency and no Python matrix will be created.
build:
- python
host:
- some_other_package
Note that host
should be non-empty or compiler
jinja syntax used or build/merge_build_host
set to
True for the build
section to be treated as different from host
.
Following implies that python
is a runtime dependency and a Python matrix for each supported python version will be created.
host:
- python
conda-forge.yml
’s build matrices is removed in conda-smithy=3. To get a build matrix,
create a conda_build_config.yaml
file inside the recipe folder. For example, the following will give you 2
builds and you can use the selector vtk_with_osmesa
in the meta.yaml
vtk_with_osmesa:
- False
- True
You need to rerender the feedstock after this change.
Requiring newer macOS SDKs¶
conda-forge uses macOS SDK 10.9 to build software so that they can be deployed to all macOS versions newer than 10.9. Sometimes, some packages require a newer SDK to build with. While the default version 10.9 can be overridden using the following changes to the recipe, it should be done as a last resort. Please consult with core team if this is something you think you need.
To use a new SDK, add the following in recipe/conda_build_config.yaml
# Please consult conda-forge/core before doing this
MACOSX_SDK_VERSION: # [osx and x86_64]
- 10.12 # [osx and x86_64]
Note that this should be done if the error you are getting says that a header is not
found or a macro is not defined. This will make your package compile with a newer SDK
but with 10.9
as the deployment target.
WARNING: some packages might use features from 10.12
if you do the above due to
buggy symbol availability checks. For example packages looking for clock_gettime
will see it as it will be a weak symbol, but the package might not have a codepath
to handle the weak symbol, in that case, you need to update the MACOSX_DEPLOYMENT_TARGET
as described below.
After increasing the SDK version, if you are getting an error that says that a function
is available only for macOS x.x, then do the following in recipe/conda_build_config.yaml
,
# Please consult conda-forge/core before doing this
MACOSX_DEPLOYMENT_TARGET: # [osx and x86_64]
- 10.12 # [osx and x86_64]
MACOSX_SDK_VERSION: # [osx and x86_64]
- 10.12 # [osx and x86_64]
In recipe/meta.yaml
, add the following to ensure that the user’s system is compatible.
requirements:
run:
- __osx >={{ MACOSX_DEPLOYMENT_TARGET|default("10.9") }} # [osx and x86_64]
Note that this requires conda>=4.8
. If you want to support older conda versions
the requirement should be changed from run
to run_constrained
. Note that
conda<4.8
will ignore the condition if it’s a run_constrained
on __osx
.
PyPy builds¶
To use the PyPy builds you can do the following,
conda install python=3.6.*=*_pypy
or,
conda install pypy python=3.6
or,
conda install pypy
Note
As of March 8, if you are using defaults as a low priority channel, then you need to use strict channel priority as the metadata in defaults has not been patched yet which allows cpython extension packages to be installed alongside pypy.
conda config --set channel_priority strict
To build your python package for pypy, wait for the bot to send a
PR and contact conda-forge/bot
team if a PR is not sent after the
dependencies have been built.
To add a dependency just for pypy or cpython, do,
requirements:
run:
- spam # [python_impl == 'cpython']
- ham # [python_impl == 'pypy']
Note
You’ll need to rerender the feedstocks after making the above
change in order for the python_impl
variable to be available to
conda-build
To skip the pypy builds, do the following,
build:
skip: True # [python_impl == 'pypy']
Using CentOS 7¶
To use the newer CentOS 7 sysroot
with glibc
2.17
on linux-64
,
put the following in your build section.
requirements:
build:
- {{ compiler('c') }}
- sysroot_linux-64 2.17 # [linux64]
You also need to use a newer docker image by setting the following in the conda_build_config.yaml
of your recipe and rerendering.
cuda_compiler_version: # [linux64]
- None # [linux64]
docker_image: # [linux64]
- condaforge/linux-anvil-cos7-x86_64 # [linux64]
cdt_name: # [linux64]
- cos7 # [linux64]
The extra cuda_compiler_version
key is needed because we currently zip that
key with docker_image
. Also cdt_name
ensures the CDTs match the CentOS
version. If this changes in the future, then this extra key may not be needed.
Finally, note that the aarch64
and ppc64le
platforms already use CentOS 7.


--- layout: post title: 'RD Sharma (Class 9)' description: 'One stop storehouse for all RD Sharma Mathematics Solutions of Class 9' date: 2020-08-10 icon: 'help-circle' ---
Chapter 1: Number System - Click here to download.
Chapter 2: Exponents of Real Numbers - Click here to download.
Chapter 3: Rationalization- Click here to download.
Chapter 4: Algebraic Identities- Click here to download.
Chapter 5: Factorization of Algebraic Expressions- Click here to download.
Chapter 6: Factorization of Polynomials- Click here to download.
Chapter 7: Introduction to Euclid's Geometry- Click here to download.
Chapter 8: Lines and Angles- Click here to download.
Chapter 9: Triangle and Its Angles- Click here to download.
Chapter 10: Congruent Triangles- Click here to download.
Chapter 11: Coordinate Geometry- Click here to download.
Chapter 12: Heron's Formula- Click here to download.
Chapter 13: Linear Equations in Two Variables- Click here to download.
Chapter 14: Quadrilaterals- Click here to download.
Chapter 15: Areas of Parallelograms- Click here to download.
Chapter 16: Circles- Click here to download.
Chapter 17: Constructions- Click here to download.
Chapter 18: Surface Area and Volume of a Cuboid and a Cube- Click here to download.
Chapter 19: Surface Area and Volume of a Right Circular Cylinder- Click here to download.
Chapter 20: Surface Area and Volume of a Right Circular Cone- Click here to download.
Chapter 21: Surface Area and Volume of a Sphere- Click here to download.
Chapter 22: Tabular Representation of Statistical Data- Click here to download.
Chapter 23: Graphical Representation of Statistical Data- Click here to download.
Chapter 24: Measures of Central Tendency- Click here to download.
Chapter 25: Probability- Click here to download.


MIT Zero Robotics Challenge 2017
Gunn High School
Zero Robotics is an annual robotics programming competition held by MIT. Every year a unique challenge is released, motivated by a problem of interest to DARPA, NASA, and MIT. Programs are fully autonomous and are designed to run on SPHERES (Synchronized Position Hold Engage and Reorient Experimental Satellites) which run on the International Space Station.
The 2017 SPACE-S challenge requires picking up and moving virtual items, while solving complex mathematical navigational challenges along the way. It emphasizes efficient flight plans and autonomous decision making.
The Gunn Zero Robotics Team is a programming team from Gunn High School (Palo Alto, CA) that participates in the Zero Robotics Challenge. The team is completely student-centered, and it is the students who lead and push the team forward.
Our team has over 40 years of combined programming experience, with many members having participated in a FIRST sanctioned robotics competition.
2017 Season: Our team composed of Alex Gao (co-captain), Larry Zhou (co-captain), Tejpal Virdi, Kevin Li, Renee Su, Steve Jiang, Peter Li, John Guibas, Frederic Wang, Andrew Shi, and Jonathan Park. Our team was in alliance with RoBoVall from Fossano, Italy, and Astro Space Systems from North Caldwell, New Jersey. We finished twenty-fifth in the alliance round and nineteenth in the virtual round.
2016 Season: Our team composed of Alex Gao (Captain), Kevin Li, Andrew Shi, Steve Jiang, Gautam Mittal, Larry Zhou, Carmel Baharav, Chela New, Michael Huang, and Max Wang. Our team was in an alliance with Zanneio Stardust from Piraeus, Greece, and NullPointerException from Ambler, Pennsylvania. We were the third seeded alliance in the world and competed at the International Space Station Finals held at MIT.
2017 pictures taken by Dajiana Huang


---
layout: page
title : Members
header : Members
tagline : Benefit from Cooperation
group: navigation
---
{% include JB/setup %}
RightRides is a multi-stakeholder cooperative
- Passengers are global
- Drivers are local
Revenue Sharing
- All Drivers participate in revenue sharing
- Any member may purchase dividend shares
Voting
- Voting is weighted equally between driving and non-driving members
Ownership


Search wikipedia with autocomplete
Use takeUntil to unsubscribe
Open console and click sample's button to close component and see it stop.
AsyncPipe automatically unsubscribes
Open console and click sample's button to close component and see it stop.
Combine three film streams into one
People Paging
People with home planets, using forkJoin
People Finding
Filtering results and lazy loading images


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