Spellcheck Demo
Try changing the text to see how the plugin updates the checks
The MIT License (MIT)
Copyright (c) 2014 git-j
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


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Infused Editor v0.1 by Andrew Kidoo (bot@zero)
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Calibrates camera with single precision
void cvCalibrateCamera( int numImages, int* numPoints, CvSize imageSize, CvPoint2D32f* imagePoints32f, CvPoint3D32f* objectPoints32f, CvVect32f distortion32f, CvMatr32f cameraMatrix32f, CvVect32f transVects32f, CvMatr32f rotMatrs32f, int useIntrinsicGuess );
The function cvCalibrateCamera calculates the camera parameters using information points on the pattern object and pattern object images.
Calibrates camera with double precision
void cvCalibrateCamera_64d( int numImages, int* numPoints, CvSize imageSize, CvPoint2D64d* imagePoints, CvPoint3D64d* objectPoints, CvVect64d distortion, CvMatr64d cameraMatrix, CvVect64d transVects, CvMatr64d rotMatrs, int useIntrinsicGuess );
The function cvCalibrateCamera_64d is basically the same as the function cvCalibrateCamera, but uses double precision.
Converts rotation matrix to rotation vector and vice versa with single precision
void cvRodrigues( CvMat* rotMatrix, CvMat* rotVector, CvMat* jacobian, int convType);
The function cvRodrigues converts the rotation matrix to the rotation vector or vice versa.
Corrects camera lens distortion
void cvUnDistortOnce( const CvArr* srcImage, CvArr* dstImage, const float* intrMatrix, const float* distCoeffs, int interpolate=1 );
The function cvUnDistortOnce corrects camera lens distortion in case of a single image. Matrix of the camera intrinsic parameters and distortion coefficients k1, k2 , p1 , and p2 must be preliminarily calculated by the function cvCalibrateCamera.
Calculates arrays of distorted points indices and interpolation coefficients
void cvUnDistortInit( const CvArr* srcImage, CvArr* undistMap, const float* intrMatrix, const float* distCoeffs, int interpolate=1 );
The function cvUnDistortInit calculates arrays of distorted points indices and interpolation coefficients using known matrix of the camera intrinsic parameters and distortion coefficients. It calculates undistortion map for cvUnDistort.
Matrix of the camera intrinsic parameters and the distortion coefficients may be calculated by cvCalibrateCamera.
Corrects camera lens distortion
void cvUnDistort( const void* srcImage, void* dstImage, const void* undistMap, int interpolate=1 );
The function cvUnDistort corrects camera lens distortion using previously calculated undistortion map. It is faster than cvUnDistortOnce.
Finds approximate positions of internal corners of the chessboard
int cvFindChessBoardCornerGuesses( IplImage* img, IplImage* thresh, CvSize etalonSize, CvPoint2D32f* corners, int* cornerCount );
The function cvFindChessBoardCornerGuesses attempts to determine whether the input image is a view of the chessboard pattern and locate internal chessboard corners. The function returns non-zero value if all the corners have been found and they have been placed in a certain order (row by row, left to right in every row), otherwise, if the function fails to find all the corners or reorder them, the function returns 0. For example, a simple chessboard has 8 x 8 squares and 7 x 7 internal corners, that is, points, where the squares are tangent. The word "approximate" in the above description means that the corner coordinates found may differ from the actual coordinates by a couple of pixels. To get more precise coordinates, the user may use the function cvFindCornerSubPix.
Finds extrinsic camera parameters for pattern
void cvFindExtrinsicCameraParams( int numPoints, CvSize imageSize, CvPoint2D32f* imagePoints32f, CvPoint3D32f* objectPoints32f, CvVect32f focalLength32f, CvPoint2D32f principalPoint32f, CvVect32f distortion32f, CvVect32f rotVect32f, CvVect32f transVect32f );
The function cvFindExtrinsicCameraParams finds the extrinsic parameters for the pattern.
Finds extrinsic camera parameters for pattern with double precision
void cvFindExtrinsicCameraParams_64d( int numPoints, CvSize imageSize, CvPoint2D64d* imagePoints, CvPoint3D64d* objectPoints, CvVect64d focalLength, CvPoint2D64d principalPoint, CvVect64d distortion, CvVect64d rotVect, CvVect64d transVect );
The function cvFindExtrinsicCameraParams_64d finds the extrinsic parameters for the pattern with double precision.
Initializes structure containing object information
CvPOSITObject* cvCreatePOSITObject( CvPoint3D32f* points, int numPoints );
The function cvCreatePOSITObject allocates memory for the object structure and computes the object inverse matrix.
The preprocessed object data is stored in the structure CvPOSITObject, internal for OpenCV, which means that the user cannot directly access the structure data. The user may only create this structure and pass its pointer to the function.
Object is defined as a set of points given in a coordinate system. The function cvPOSIT computes a vector that begins at a camera-related coordinate system center and ends at the points[0] of the object.
Once the work with a given object is finished, the function cvReleasePOSITObject must be called to free memory.Implements POSIT algorithm
void cvPOSIT( CvPoint2D32f* imagePoints, CvPOSITObject* pObject, double focalLength, CvTermCriteria criteria, CvMatrix3* rotation, CvPoint3D32f* translation );
The function cvPOSIT implements POSIT algorithm. Image coordinates are given in a camera-related coordinate system. The focal length may be retrieved using camera calibration functions. At every iteration of the algorithm new perspective projection of estimated pose is computed.
Difference norm between two projections is the maximal distance between corresponding points. The parameter criteria.epsilon serves to stop the algorithm if the difference is small.
Deallocates 3D object structure
void cvReleasePOSITObject( CvPOSITObject** ppObject );
The function cvReleasePOSITObject releases memory previously allocated by the function cvCreatePOSITObject.
Calculates homography matrix for oblong planar object (e.g. arm)
void cvCalcImageHomography( float* line, CvPoint3D32f* center, float* intrinsic, float homography[3][3]);
The function cvCalcImageHomography calculates the homography matrix for the initial image transformation from image plane to the plane, defined by 3D oblong object line (See Figure 6-10 in OpenCV Guide 3D Reconstruction Chapter).
Calculates scanlines coordinates for two cameras by fundamental matrix
void cvMakeScanlines( CvMatrix3* matrix, CvSize imgSize, int* scanlines1, int* scanlines2, int* lens1, int* lens2, int* numlines );
The function cvMakeScanlines finds coordinates of scanlines for two images.
This function returns the number of scanlines. The function does nothing except calculating the number of scanlines if the pointers scanlines1 or scanlines2 are equal to zero.
Rectifies image
void cvPreWarpImage( int numLines, IplImage* img, uchar* dst, int* dstNums, int* scanlines );
The function cvPreWarpImage rectifies the image so that the scanlines in the rectified image are horizontal. The output buffer of size max(width,height)*numscanlines*3 must be allocated before calling the function.
Retrieves scanlines from rectified image and breaks them down into runs
void cvFindRuns( int numLines, uchar* prewarp_1, uchar* prewarp_2, int* lineLens_1, int* lineLens_2, int* runs_1, int* runs_2, int* numRuns_1, int* numRuns_2 );
The function cvFindRuns retrieves scanlines from the rectified image and breaks each scanline down into several runs, that is, series of pixels of almost the same brightness.
Finds correspondence between two sets of runs of two warped images
void cvDynamicCorrespondMulti( int lines, int* first, int* firstRuns, int* second, int* secondRuns, int* firstCorr, int* secondCorr );
The function cvDynamicCorrespondMulti finds correspondence between two sets of runs of two images. Memory must be allocated before calling this function. Memory size for one array of correspondence information is
Calculates coordinates of scanlines of image from virtual camera
void cvMakeAlphaScanlines( int* scanlines_1, int* scanlines_2, int* scanlinesA, int* lens, int numlines, float alpha );
The function cvMakeAlphaScanlines finds coordinates of scanlines for the virtual camera with the given camera position.
Memory must be allocated before calling this function. Memory size for the array of correspondence runs is numscanlines*2*4*sizeof(int) . Memory size for the array of the scanline lengths is numscanlines*2*4*sizeof(int) .
Morphs two pre-warped images using information about stereo correspondence
void cvMorphEpilinesMulti( int lines, uchar* firstPix, int* firstNum, uchar* secondPix, int* secondNum, uchar* dstPix, int* dstNum, float alpha, int* first, int* firstRuns, int* second, int* secondRuns, int* firstCorr, int* secondCorr );
The function cvMorphEpilinesMulti morphs two pre-warped images using information about correspondence between the scanlines of two images.
Warps rectified morphed image back
void cvPostWarpImage( int numLines, uchar* src, int* srcNums, IplImage* img, int* scanlines );
The function cvPostWarpImage warps the resultant image from the virtual camera by storing its rows across the scanlines whose coordinates are calculated by cvMakeAlphaScanlines.
Deletes moire in given image
void cvDeleteMoire( IplImage* img );
The function cvDeleteMoire deletes moire from the given image. The post-warped image may have black (un-covered) points because of possible holes between neighboring scanlines. The function deletes moire (black pixels) from the image by substituting neighboring pixels for black pixels. If all the scanlines are horizontal, the function may be omitted.
Calculates fundamental matrix from corresponding points in two images
int cvFindFundamentalMat( CvMat* points1, CvMat* points2, CvMat* fundMatr, int method, double param1, double param2, CvMat* status=0);
The epipolar geometry is described by the following equation:
p2T*F*p1=0,
where F is fundamental matrix, p1 and p2 are corresponding points on the two images.
The function FindFundamentalMat calculates fundamental matrix using one of four methods listed above and returns the number of fundamental matrix found: 0 if the matrix could not be found, 1 or 3 if the matrix or matrices have been found successfully.
The calculated fundamental matrix may be passed further to ComputeCorrespondEpilines function that computes coordinates of corresponding epilines on two images.
For 7-point method uses exactly 7 points. It can find 1 or 3 fundamental matrices. It returns number of the matrices found and if there is a room in the destination array to keep all the detected matrices, stores all of them there, otherwise it stores only one of the matrices.
All other methods use 8 or more points and return a single fundamental matrix.
int numPoints = 100; CvMat* points1; CvMat* points2; CvMat* status; CvMat* fundMatr; points1 = cvCreateMat(2,numPoints,CV_32F); points2 = cvCreateMat(2,numPoints,CV_32F); status = cvCreateMat(1,numPoints,CV_32F); /* Fill the points here ... */ fundMatr = cvCreateMat(3,3,CV_32F); int num = cvFindFundamentalMat(points1,points2,fundMatr,CV_FM_RANSAC,1.0,0.99,status); if( num == 1 ) { printf("Fundamental matrix was found\n"); } else { printf("Fundamental matrix was not found\n"); } /*====== Example of code for three matrixes ======*/ CvMat* points1; CvMat* points2; CvMat* fundMatr; points1 = cvCreateMat(2,7,CV_32F); points2 = cvCreateMat(2,7,CV_32F); /* Fill the points here... */ fundMatr = cvCreateMat(9,3,CV_32F); int num = cvFindFundamentalMat(points1,points2,fundMatr,CV_FM_7POINT,0,0,0); printf("Found %d matrixes\n",num);
For every input point on one of image computes the corresponding epiline on the other image
void cvComputeCorrespondEpilines( const CvMat* points, int pointImageID, CvMat* fundMatr, CvMat* corrLines);
The function ComputeCorrespondEpilines computes the corresponding epiline for every input point using the basic equation of epipolar line geometry:
If points located on first image (ImageID=1), corresponding epipolar line can be computed as:
l2=F*p1where F is fundamental matrix, p1 point on first image, l2 corresponding epipolar line on second image. If points located on second image (ImageID=2):
l1=FT*p2
where F is fundamental matrix, p2 point on second image, l1 corresponding epipolar line on first image
Each epipolar line is present by coefficients a,b,c of line equation:a*x + b*y + c = 0
Also computed line normalized by a2+b2=1. It's useful if distance from point to line must be computed later.


$().SPServices
SiteData
| Operation | Options | MSDN Documentation | Introduced |
|---|---|---|---|
| EnumerateFolder | strFolderUrl |
SiteData.EnumerateFolder Method.aspx) | 0.5.7 |
| GetList -> Must be called as SiteDataGetList | [webURL], strListName |
SiteData.GetList Method.aspx) | 0.6.0 |
| GetListCollection -> Must be called as SiteDataGetListCollection | [webURL] |
SiteData.GetListCollection Method.aspx) | 0.6.0 |
| GetSite -> Must be called as SiteDataGetSite | [webURL] |
SiteData.GetSite Method.aspx) | 0.7.1 |
| GetSiteUrl -> Must be called as SiteDataGetSiteUrl | Url |
SiteData.GetSiteUrl Method.aspx) | 0.7.1 |
| GetWeb -> Must be called as SiteDataGetWeb | [webURL] |
SiteData.GetWeb Method.aspx) | 0.7.1 |


v2.2
Added "Module#children" property.
Renamed "require.prototype" to "require.proto" and "module.prototype" to "module.proto".
Renamed "require.global" to "require.cache".
Fixed error handling.
Update README and JSDoc.
Minor fixes.
v2.1
Fixed a module stack and error handling.
v2.0
Added a global variable "global" in the scope of modules.
v1.9
Added static properties: global, top, namespace, setModuleNameSpace and Error in the require function.
Initialization namespace on request from the function setModuleNameSpace
v1.8
Fixed a minor bug in Module#init method. Refactoring.
v1.7
Added support for recursive calls require.
v1.6
Added support for the work in client-side. Minor fixes.
v1.5
Fixed error handling.
v1.4
Added static property "file" in the require function.
v1.3
Code-style refactoring & update doc.
v1.2
Don't suppress module errors.
v1.1
Added a global variable "exports" in the scope of modules.
v1.0
First stable version.


Comments
-
Greg Hurrell
Can you give me an example of some of the paths that you're trying to find?
I'm inclined to think that if you get the knack of things (specifically knowing that chars matching in certain positions, such as after a "/" are scored more highly, and also that runs of characters are scored more highly too) then you should be able to drill down to the file you're looking for without limiting yourself to the kind of substring search that, if I understand it correctly, you're suggesting.
It would also be good if you could describe exactly how you would expect this to work. My understanding of it is that given a search string like "foo bar" it would expect to find "foo" as a run of consecutive characters, and "bar" as another in order to match.
Add a comment
Comments are now closed for this issue.


WebAssembly modules for genomics
biowasm is a collection of C/C++ genomics tools, pre-compiled to WebAssembly
Parse .bam files with samtools
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Perform genome arithmetic with bedtools
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Align reads to the genome with bowtie
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Evaluate .fastq quality with fastp
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Call variants and filter VCFs with bcftools
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Sorry, It looks as though your browser does not support the canvas tag...
If you can, I suggest that you should try firefox or Safari.
Particle
Well
Well Collision
Particle Drag


⚠ Documentation is version-specific: This page was generated for ScottPlot 4.1.4-beta
Additional documentation and more version-specific cookbooks are on the ScottPlot Website
Interpolated splines create curves with many X/Y points to smoothly connect a limited number of input points.
var plt = new ScottPlot.Plot(600, 400);
// create a small number of X/Y data points and display them
double[] xs = { 0, 10, 20, 30 };
double[] ys = { 65, 25, 55, 80 };
plt.AddScatter(xs, ys, Color.Black, markerSize: 10, lineWidth: 0, label: "Original Data");
// Calculate the interpolated splines using three different methods:
// Natural splines are "stiffer" than a polynomial interpolations and are less likely to oscillate.
// Periodic splines are natural splines whose first and last point slopes are matched.
// End slope splines let you define first and last data point slopes (defaults to zero).
var nsi = new ScottPlot.Statistics.Interpolation.NaturalSpline(xs, ys, resolution: 20);
var psi = new ScottPlot.Statistics.Interpolation.PeriodicSpline(xs, ys, resolution: 20);
var esi = new ScottPlot.Statistics.Interpolation.EndSlopeSpline(xs, ys, resolution: 20);
// plot the interpolated Xs and Ys
plt.AddScatter(nsi.interpolatedXs, nsi.interpolatedYs, Color.Red, markerSize: 3, label: "Natural Spline");
plt.AddScatter(psi.interpolatedXs, psi.interpolatedYs, Color.Green, markerSize: 3, label: "Periodic Spline");
plt.AddScatter(esi.interpolatedXs, esi.interpolatedYs, Color.Blue, markerSize: 3, label: "End Slope Spline");
plt.Legend();
plt.SaveFig("misc_interpolation.png");
The raw trace (voltage) and first derivative (voltage change / time) of a mammalian action potential.
var plt = new ScottPlot.Plot(600, 400);
// obtain a signal for the voltage
double[] ap = DataGen.ActionPotential();
plt.Title("Neuronal Action Potential");
// data is sampled at 20 kHz but we want to display ms units
int sampleRate = 20;
plt.XAxis.Label("Time (milliseconds)");
// plot the voltage in blue on the primary Y axis
var sig1 = plt.AddSignal(ap, sampleRate);
sig1.YAxisIndex = 0;
sig1.LineWidth = 3;
sig1.Color = Color.Blue;
plt.YAxis.Label("Membrane Potential (mV)");
plt.YAxis.Color(Color.Blue);
// calculate the first derivative
double[] deriv = new double[ap.Length];
for (int i = 1; i < deriv.Length; i++)
deriv[i] = (ap[i] - ap[i - 1]) * sampleRate;
deriv[0] = deriv[1];
// plot the first derivative in red on the secondary Y axis
var sig2 = plt.AddSignal(deriv, sampleRate);
sig2.YAxisIndex = 1;
sig2.LineWidth = 3;
sig2.Color = Color.FromArgb(120, Color.Red);
plt.YAxis2.Label("Rate of Change (mV/ms)");
plt.YAxis2.Color(Color.Red);
plt.YAxis2.Ticks(true);
// zoom in on the interesting area
plt.SetAxisLimits(40, 60);
plt.SaveFig("misc_ap.png");


This plotter draws smooth lines between points using bezier curves.
Smoothing: 0.33
View source to see how this works. You'll have to source extras/smooth-plotter.js
in addition to dygraphs to get this feature. (However, for better browser compatibility, use the
file from src-es5/extras/ (dist/extras/) instead.) See the comment from the pull request that introduced this plotter (online) to
learn more about how it smooths your curves.


| Package | Description |
|---|---|
| org.drip.analytics.cashflow |
Unit/Composite Cash Flow Periods.
|
| org.drip.analytics.definition |
Latent State Curves, Surfaces, Turns
|
| org.drip.analytics.output |
Period Product Targeted Valuation Measures
|
| org.drip.analytics.support |
Assorted Support and Helper Utilities
|
| org.drip.dynamics.evolution |
Latent State Evolution Edges/Vertexes
|
| org.drip.dynamics.hjm |
HJM Based Latent State Evolution
|
| org.drip.dynamics.hullwhite |
Hull White Latent State Evolution
|
| org.drip.dynamics.lmm |
LMM Based Latent State Evolution
|
| org.drip.dynamics.sabr |
SABR Based Latent State Evolution
|
| org.drip.exposure.evolver |
Securities and Exposure States Evolvers
|
| org.drip.exposure.generator |
Rates Stream Margin Period Exposure
|
| org.drip.exposure.holdings |
Holdings Exposure - Position and Dependencies
|
| org.drip.exposure.universe |
Exposure Generation - Market States Simulation
|
| org.drip.market.exchange |
Deliverable Swap, STIR, Treasury Futures
|
| org.drip.market.otc |
OTC Dual Stream Option Container
|
| org.drip.param.definition |
Latent State Quantification Metrics Tweak
|
| org.drip.param.market |
Curves Surfaces Quotes Fixings Container
|
| org.drip.param.period |
Composite Composable Period Builder Settings
|
| org.drip.product.calib |
Curve/Surface Calibration Quote Sets
|
| org.drip.product.creator |
Streams and Products Construction Utilities
|
| org.drip.product.credit |
Credit Products - Components and Baskets
|
| org.drip.product.definition |
Fixed Income Components/Baskets Definitions
|
| org.drip.product.fx |
FX Forwards, Cross Currency Swaps
|
| org.drip.product.govvie |
Treasury Bills, Notes, Bonds, Futures
|
| org.drip.product.option |
Options on Fixed Income Components
|
| org.drip.product.params |
Fixed Income Product Customization Parameters
|
| org.drip.product.rates |
Fixed Income Multi-Stream Components
|
| org.drip.sample.forward |
IBOR Spline Forward Curve Construction
|
| org.drip.sample.ois |
Index/Fund OIS Curve Reconcilation
|
| org.drip.service.template |
Curve Construction Product Builder Templates
|
| org.drip.spline.grid |
Aggregated/Overlapping Stretch/Span Grids
|
| org.drip.state.basis |
Basis State Curve Construction/Estimation
|
| org.drip.state.boot |
Bootable Discount, Credit, Volatility States
|
| org.drip.state.creator |
Scenario State Curve/Surface Builders
|
| org.drip.state.credit |
Credit Latent State Curve Representation
|
| org.drip.state.curve |
Basis Spline Based Latent States
|
| org.drip.state.discount |
Discount Curve Spline Latent State
|
| org.drip.state.estimator |
Multi-Pass Customized Stretch Curve
|
| org.drip.state.forward |
Forward Latent State Estimator Curve
|
| org.drip.state.fx |
FX Latent State Estimator Curve
|
| org.drip.state.govvie |
Govvie Latent State Estimator Curve
|
| org.drip.state.identifier |
Latent State Identifier Labels
|
| org.drip.state.nonlinear |
Nonlinear (i.e., Boot) Latent State Construction
|
| org.drip.state.repo |
Latent State Repo Curve Estimator
|
| org.drip.state.representation |
Latent State Merge Sub-stretch
|
| org.drip.xva.dynamics |
XVA Dynamics - Settings and Evolution
|
| org.drip.xva.proto |
Collateral, Counter Party, Netting Groups
|
| org.drip.xva.topology |
Collateral, Credit/Debt, Funding Topologies
|
| Class and Description |
|---|
| CollateralLabel
CollateralLabel contains the Identifier Parameters referencing the Latent State of the named Collateral
Discount Curve.
|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| FloaterLabel
FloaterLabel is an Abstract Class that underpins the Latent State Labels that use a Single Floater Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| Class and Description |
|---|
| FloaterLabel
FloaterLabel is an Abstract Class that underpins the Latent State Labels that use a Single Floater Index.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| Class and Description |
|---|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| Class and Description |
|---|
| CollateralLabel
CollateralLabel contains the Identifier Parameters referencing the Latent State of the named Collateral
Discount Curve.
|
| CSALabel
CSALabel specifies the Label of of a Credit Support Annex (CSA) Specification.
|
| CustomLabel
CustomLabel contains the Identifier Parameters referencing the Latent State of the named Custom Metric.
|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| EntityCreditLabel
EntityCreditLabel contains the Identifier Parameters referencing the Latent State of the named Entity
Credit Curve.
|
| EntityEquityLabel
EntityEquityLabel contains the Identifier Parameters referencing the Latent State of the Entity Equity
Curve.
|
| EntityFundingLabel
EntityFundingLabel contains the Identifier Parameters referencing the Latent State of the Entity Funding
Curve.
|
| EntityHazardLabel
EntityHazardLabel contains the Identifier Parameters referencing the Latent State of the Entity Hazard
Curve.
|
| EntityRecoveryLabel
EntityRecoveryLabel contains the Identifier Parameters referencing the Latent State of the Entity Recovery
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| OvernightLabel
OvernightLabel contains the Index Parameters referencing an Overnight Index.
|
| PaydownLabel
PaydownLabel contains the Identifier Parameters referencing the Latent State of the named Paydown Curve.
|
| RatingLabel
RatingLabel contains the Identifier Parameters referencing the Label corresponding to the Credit Rating
Latent State.
|
| RepoLabel
RepoLabel contains the Identifier Parameters referencing the Latent State of the named Repo Curve.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| CollateralLabel
CollateralLabel contains the Identifier Parameters referencing the Latent State of the named Collateral
Discount Curve.
|
| CustomLabel
CustomLabel contains the Identifier Parameters referencing the Latent State of the named Custom Metric.
|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| EntityEquityLabel
EntityEquityLabel contains the Identifier Parameters referencing the Latent State of the Entity Equity
Curve.
|
| EntityRecoveryLabel
EntityRecoveryLabel contains the Identifier Parameters referencing the Latent State of the Entity Recovery
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| OvernightLabel
OvernightLabel contains the Index Parameters referencing an Overnight Index.
|
| PaydownLabel
PaydownLabel contains the Identifier Parameters referencing the Latent State of the named Paydown Curve.
|
| RatingLabel
RatingLabel contains the Identifier Parameters referencing the Label corresponding to the Credit Rating
Latent State.
|
| RepoLabel
RepoLabel contains the Identifier Parameters referencing the Latent State of the named Repo Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| FloaterLabel
FloaterLabel is an Abstract Class that underpins the Latent State Labels that use a Single Floater Index.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| FloaterLabel
FloaterLabel is an Abstract Class that underpins the Latent State Labels that use a Single Floater Index.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| FloaterLabel
FloaterLabel is an Abstract Class that underpins the Latent State Labels that use a Single Floater Index.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| FloaterLabel
FloaterLabel is an Abstract Class that underpins the Latent State Labels that use a Single Floater Index.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| CustomLabel
CustomLabel contains the Identifier Parameters referencing the Latent State of the named Custom Metric.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| CollateralLabel
CollateralLabel contains the Identifier Parameters referencing the Latent State of the named Collateral
Discount Curve.
|
| CSALabel
CSALabel specifies the Label of of a Credit Support Annex (CSA) Specification.
|
| CustomLabel
CustomLabel contains the Identifier Parameters referencing the Latent State of the named Custom Metric.
|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| EntityCreditLabel
EntityCreditLabel contains the Identifier Parameters referencing the Latent State of the named Entity
Credit Curve.
|
| EntityDesignateLabel
EntityDesignateLabel contains the Identifier Parameters referencing the Latent State of an Entity
Designate.
|
| EntityEquityLabel
EntityEquityLabel contains the Identifier Parameters referencing the Latent State of the Entity Equity
Curve.
|
| EntityFundingLabel
EntityFundingLabel contains the Identifier Parameters referencing the Latent State of the Entity Funding
Curve.
|
| EntityHazardLabel
EntityHazardLabel contains the Identifier Parameters referencing the Latent State of the Entity Hazard
Curve.
|
| EntityRecoveryLabel
EntityRecoveryLabel contains the Identifier Parameters referencing the Latent State of the Entity Recovery
Curve.
|
| FloaterLabel
FloaterLabel is an Abstract Class that underpins the Latent State Labels that use a Single Floater Index.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| FundingLabel
FundingLabel contains the Identifier Parameters referencing the Latent State of the named Funding Discount
Curve.
|
| FXLabel
FXLabel contains the Identifier Parameters referencing the Latent State of the named FX Curve.
|
| GovvieLabel
GovvieLabel contains the Identifier Parameters referencing the Latent State of the named Sovereign Curve.
|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| OTCFixFloatLabel
OTCFixFloatLabel contains the Index Parameters referencing a Payment on an OTC Fix/Float IRS Par Rate
Index.
|
| OvernightLabel
OvernightLabel contains the Index Parameters referencing an Overnight Index.
|
| PaydownLabel
PaydownLabel contains the Identifier Parameters referencing the Latent State of the named Paydown Curve.
|
| RatingLabel
RatingLabel contains the Identifier Parameters referencing the Label corresponding to the Credit Rating
Latent State.
|
| RepoLabel
RepoLabel contains the Identifier Parameters referencing the Latent State of the named Repo Curve.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| EntityCDSLabel
EntityCDSLabel contains the Identifier Parameters referencing the Latent State of the named Entity CDS
Curve.
|
| ForwardLabel
ForwardLabel contains the Index Parameters referencing a payment on a Forward Index.
|
| VolatilityLabel
VolatilityLabel contains the Identifier Parameters referencing the Latent State of the named Volatility
Curve.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| LatentStateLabel
LatentStateLabel is the interface that contains the labels inside the sub-stretch of the alternate state.
|
| Class and Description |
|---|
| CSALabel
CSALabel specifies the Label of of a Credit Support Annex (CSA) Specification.
|
| EntityFundingLabel
EntityFundingLabel contains the Identifier Parameters referencing the Latent State of the Entity Funding
Curve.
|
| EntityHazardLabel
EntityHazardLabel contains the Identifier Parameters referencing the Latent State of the Entity Hazard
Curve.
|
| EntityRecoveryLabel
EntityRecoveryLabel contains the Identifier Parameters referencing the Latent State of the Entity Recovery
Curve.
|
| OvernightLabel
OvernightLabel contains the Index Parameters referencing an Overnight Index.
|
| Class and Description |
|---|
| CSALabel
CSALabel specifies the Label of of a Credit Support Annex (CSA) Specification.
|
| EntityFundingLabel
EntityFundingLabel contains the Identifier Parameters referencing the Latent State of the Entity Funding
Curve.
|
| EntityHazardLabel
EntityHazardLabel contains the Identifier Parameters referencing the Latent State of the Entity Hazard
Curve.
|
| EntityRecoveryLabel
EntityRecoveryLabel contains the Identifier Parameters referencing the Latent State of the Entity Recovery
Curve.
|
| OvernightLabel
OvernightLabel contains the Index Parameters referencing an Overnight Index.
|


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| DOSE: |
1 tablet |
oral |
MDMA |
(pill / tablet) |
For years I've experienced various levels of depression (3 years). For the first 2 years I was diagnosed with major depression after two attempts at my own life. I sought treatment and was put on zoloft. During the 6 months when I attempted a 'cure' through these methods I was not doing any drugs (including alcohol). I soon discontinued this aid as the long term effects of zoloft had not presented their usefulness.
3 years later at Burning Man 2005, a friend asks me if I would like to try ecstasy for the 'burn.' I thought about it for about 14 miliseconds and prompted to take the little blue pill that would alter my life so greatly. This was my first 'trip' in about a year (maybe longer), and my first on ecstasy.
The experience was purely positive; none of the 'downs' that people associate with ecstasy found me. I went to the 'burn' (a huge bonfire/rave/spiritual experience, indescrible to those who haven't been to burning man) in the best mood I've ever been in. I was hugging people, telling people they were various positive things; dancing (for the first time in my life). I was surprised how little paranoia there was at this extreme lift in my mood. Normally I would be afraid of being so outwardly loving toward strangers; but it never crossed my mind to be so.
As the 'man' began to 'burn' (this was my first burning man) I realized how intense of an experience it was. I listened to this guy portray his views of what the 'burn' meant. He said 'We don't burn the man to move on in our lives, we burn the man as a symbol of all the pain and suffering in this world. We, the artists and creative peoples that are attracted to this event, who are strong, can turn all that pain into love and excitement; can channel the worlds pain into love.' The huge fire itself might be the means by which we channel these things.
Anywho, I danced around the bonfire for an hour or so. After things begin to calm down (only 1000 people from the roaring 30,000+ that were there) I sat down to meditate, as some were doing. I met a woman who ultimately stayed with me till the sunrise (my confidence was so extreme on ecstasy). As I was laying with her watching the sunrise; everything felt perfect and as one. I felt an alleviation of all my depressive symptoms; I felt the need to create art. I felt a rush of all the love I felt for the world prior to my sinking into depression 3 years beforehand. Everything was right in the world.
When I went to sleep that night I had strange closed eye visual hallucinations. I didn't know ecstasy could do this. I slept for about 1 hour until I awoke to feel the best I've ever felt in my life. Since then; I seem to have a more comfortable smile; that seems to be around a lot more often. This extremely spiritual experience has led me to living a more active life. I really don't care to do ecstasy again; but would think about it if offered.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Source code for algorithms.newman_model
"""
Newman Model
-----------------------
This module contains a functions for generating random graph
using configuration model. In configuration model, one represents
a graph using degree sequence. The actual graph is obtained by randomly
connecting stubs of vertices.
"""
import sys, os, math
import numpy as np
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
[docs]def degree_sequence_regular(n, k):
"""
Generates a degree sequnce following k-regular distribution
:param n: Number of vertices.
:param k: The parameter k for k-regular distribution
:return: A list containing n integers representing degrees of vertices following k-regular distribution.
"""
return [k] * n
[docs]def degree_sequence_lognormal(n, mu, sigma):
"""
Generates a degree sequnce following k-regular distribution
:param n: Number of vertices.
:param mu: The parameter mu for lognormal distribution
:param sigma: The parameter sigma for lognormal distribution
:return: A list containing n integers representing degrees of vertices following lognormal distribution
"""
degree_seq = np.random.normal(mu, sigma, size=n)
return degree_seq
[docs]def irregular_edge_count(edges):
"""
Computes ratio of multiedges and loops and simple edges
:param edges: A list of tuples representing the set of edges of a graph.
:return: The ratio described above.
"""
unique_edges = set()
loop_counter, multi_edge_cnt = 0, 0
for e in edges:
u, v = e
# check if it is a loop
if u == v: loop_counter += 1
# check if it is multiedge
if (u, v) in unique_edges or (v, u) in unique_edges: multi_edge_cnt += 1
else: unique_edges.add(e)
return float(loop_counter + multi_edge_cnt) / float(len(edges))


Do you know about #metalfriday or #ljubavničetvrtak(love Thursday in Serbian)?
People use these hashtags to tweet music videos, and there's some good music there.
The only way to hear everything is to go to Twitter search, search for a #hashtag and then go from one tweet to another and play the videos.
And that get's boring really quickly. So I made #HashtagPlayer.
It is very much a demo/proof of concept at the moment, but it was fun to do it and I actually use it.
Supports only Youtube and it is limited in a number of tweets it can get.
Still, I hope you have fun with it :)
Close this


InSITE Lines can be ordered from the Bloomington InSITE page.
Database Features
About Page: Details of InSITE Method including Mapping Information, Immunohistochemistry and Imaging Adult Brain Database: Collection of 1,186 Images Adult VNC Database: Collection of 665 Images Larval Database: Collection of 719 Images Stock Information: Dynamic Table of InSITE Lines Keyword Search: Query Search Option for Morphological Features of Interest Contact: Telephone and E-mail Information Available
Recent Updates
InSITE System
Database Information
Please contact us for details on genomic mapping, swap lines, immunohistochemistry and imaging.
Schematic illustration of the procedure for genetically swapping GAL4 with sequence X .


maxeig
returns the maximum eigenvalue of . If this number
is negative, the equilibrium point is stable, if positive, it is
unstable. As reported in Standish (1994)[7], the mutation
drives the maximum eigenvalue slightly positive, then instabilities
act to push the eigenvalue back to zero. This command requires LAPACK).


Bing aims to help you make informed decisions in the US 2020 elections
Bing aims to clear up the misinformation surrounding elections.
by Sean EndicottSource: Windows Central
What you need to know
- Bing will help voters see relevant information for the upcoming U.S. 2020 election.
- The election experience includes facts, quotes, voting histories, and more to help present information.
- The feature is in beta now, and will likely expand over time.
Bing aims to clear confusion and present relevant data to help voters in the U.S. 2020 election. A new Bing 2020 U.S. Elections Experience is now in beta, bringing in facts, quotes, and figures from several news sources and websites. The experience aims to present large amounts of relevant information in a single place that's easy to find. A Bing blog post breaks down the new election experience.
When you search a candidate on Bing, the search engine gathers information from news articles, official candidate websites, and non-partisan partners like VoteSmart.org. The information is curated into easily digestible blocks of information on the search results page.
Political elections are a tricky time for people seeking information. Bing's election experience includes candidates' stances on issues "in their own words, from various sources." In addition to quotes and other information, the Bing election experience will show a summary of each candidate's voting record on congressional bills.
The beta experience is exclusive to U.S. elections at this time, though Microsoft may expand it in the future.


Vaadin Themes for Core Elements
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What I like about this salad its the freshness that comes from the peaches added to the tanginess of the white wine vinegar. It is also very colorful and a treat to the eyes. Even though it can be eaten by itself in a warm summer evening, it is perfect as a side in a BBQ. Vegetarian friendly, though not in the picture.
Source
This recipe was nicked from this recipe book, so all credits go to Tim Mälzer (a famous TV chef in Germany).
Variations
- As per usual, once I messed up the grocery shopping, so instead of the tomatoes I got a cucumber, and instead of the green pepper I got a red. Went ahead and made the salad with these ingredients and it worked. I still prefer the tomatoes for this salad though.
- Servings: 2 as a main dish or 3-4 as a side
- Prep Time: 20 minutes
- Rest Time: 10 minutes
- Total Time: 30 minutes
Ingredients
- Feta cheese: 150 grams
- Onions: 1
- Green bell pepper: 1
- Yellow bell pepper: 1
- Tomatoes: 4
- Peaches: 2
- Olive oil: 6 tablespoons
- White wine vinegar: 3-4 tablespoons
- Black pepper: to taste
- Sea salt: to taste
- Sugar: a pinch
Directions
- Peel the onion, de-seed the bell peppers and the tomatoes, and remove the core from the peaches. Cut everything, including the Feta in small pieces.
- In a bowl, Mix the onion, peaches, peppers and tomatoes with the olive oil, vinegar, salt, black pepper and sugar. Let it marinate for 10 minutes.
- Check the salad for taste and add the Feta.
- Serve.


There is almost no difference between knowing a distribution’s density (and thus knowing its mean, variance, mode, or anything else about it) and being able to sample from the distribution. On the one hand, if we can sample from a distribution, we can estimate the density with a histogram or kernel density estimator. Conversely, I’ll discuss w... Read more 12 May 2018 - 5 minute read
Before discussing ROC curves and AUC, let’s fix some terminology around the confusion matrix: Condition positive (negative): real positive (negative) case in the data True positive (negative): condition positive (negative) that is classified as positive (negative) False positive (negative): condition negative (positive) that is classifie... Read more 29 Apr 2018 - 6 minute read
Propagation of error describes how uncertainty in estimates propagates forward when we consider functions of those estimates. Suppose I have height and weight measurements for a sample of people. What is the mean and variance of the BMI? (BMI is 703 times the weight (in pounds) over the square of the height (in inches).) The obvious thing is... Read more 28 Apr 2018 - 2 minute read
Suppose I’m tasked with analyzing failure times for hard drives in a datacenter. I track 100 hard drives over a 2 year period, and if a hard drive fails, I record when. If the hard drive has not failed by the 2 year mark, I don’t when when it will fail, just that its failure time is more than 2 years. We say the failure times for the hard drive... Read more 20 Apr 2018 - 1 minute read
Multivariate normal distributions are really nice. (Invertible) affine transformations, marginalization, and conditioning all preserve a multivariate normal distribution. In this post, I want to discuss marginalization and conditioning. In particular, I want to point out that computing the marginal distribution is easy when we parametrize wit... Read more 13 Apr 2018 - 1 minute read


#. Login. *Each User profile with Technology Service permissions has a barcode attached to their login at service workstations.
#. Complete the only field on the form, “Client / Quick / Hostname.” *The field will autocomplete against User, Group, QuickID, Barcode, and Computer.hostname.
Possible outcomes:
*Only User Exists *Only Group Exists *Only Device Exists
*User and Device, but not Group *Group and Device, but not User *User and Group, but not Device
*Total repeat (Device and User / Group exist) What does this mean and how does What know if the device is returning or checked in and has an open work session.
*Neither exist:
Possible Outcomes:
*Found a User Profile but no Prior knowledge of THIS Device.
*Found a Group but no Prior Knowledge of THIS Device.
*Found A Device, a User/Group Profile, and THIS is a Returning Device, or possibly a Device we already have.
#.If an Existing Device is Found Via Quick ID or Barcode, You have found this persons User Profile. is this new service, or warantee service?
#.If an existing Device is discovered via User, Group, and no longer has a Barcode or QuickID, affix a new one and append the last ID string to the updated barcode with some utility. (this requires sudo or some higher level overide permissions)
Creates: -Service -Expectation -Exchange -Pledge
This will bring you through a specialized sign up form designated to prioritize The effiencency of checking in tech service, unlike the more minimalized normal public user sign up form.
#.The system will prompt you do begin scanning barcodes for and new intake of any new Devices Sticker every discrete device. Each device gets a barcode sticker, then gets scanned. Each boink creates a field that autocompletes against Device(Category?), and leads you to the appropriate form for the type of device you are checking in.
Possible Outcomes: *Laptop *Power Supply *Mobile Device blahhhhhhhhhhhhhhhhjb,...
#.Complete:
*User First, Last *Contact Phone Number, Email *Device Operating System, Model, Description #. Discuss symptoms, steps needed to cause symptom *Service Symptom(s) Urgency #. Discuss pledge/payment *Expectation Expected Date of Completion (if there is one) Pledge (agreement of rates and Services about to be performed) *Exchance Moneys Exchanged for Parts Hardware dropped-off (completed before)
#.  An URL shortening step would be nice here. ticket includes all relevant barcodes and a barcode for the ticket. Ticket barcode gets generated automatically and is of a separate sequence from device stickers.
#. Ticket also includes all info the privelege level of the customer allows. Also includes an option to create a password on our site to check status of repair session. Links to Facebook, other social network sites, possible a shortened URL to appropriate page.
If an existing Device is discovered via User, Group, and no longer has a Barcode or QuickID, affix a new one and append the last ID string to the updated barcode with some utility. (this requires sudo or some higher level overide permissions) Checking with no prior knowledge
When a barcode is scanned, and the device has already been Pledged, but the Expectation is not Met, it means that we probably already have the device already. *Prompt: Start new service Session? What Symptoms are you attempting to resolve? (unless Diag.) What Services are you about to Render?
A Ticket is opened while device is being worked on. This starts a timer to track actual time spent. in some cases, with the right permission, multiple tickets can be open. “Tech Utilites become Availible”
The Timer Stops *Prompt: Sucsessful in Resolving Symptom _______? *Complete: Log Steps Taken
If this satisfies
Wishlist: Repairs generate a sequence of steps, tech then checks off as completed.


{% extends 'base.html' %} {% block content %}
Yo! Wanna get in touch with me? Shoot me an email at<EMAIL_ADDRESS>Def get this number a call:<PHONE_NUMBER>. It's not my number, but you won't be disappointed haha


- As a sponsor the firm will increase its visibility among students, faculty, industries and other corporate sponsors.
- The participants are students from various engineering colleges, so the company will boost its reputation within the engineering society of India.
- Chance to have a direct association with the internationally reputed society SAE
- As the event is co-organised by reputed firms like ANSYS Inc., Mahindra, ARAI etc., the firm will get accreditation amongst the market leaders in India.
- The team can publicize the company’s agenda or policies, at various automotive related ventures like auto shows, SAE BAJA race, tech fests etc., were students, various firms and public participants are very high.
- Corporate Social responsibility
- Develop, nurture & implant an innovative mindset among engineering students.
- Access the best in engineering and human resources.
- Clever market investment.
- Your company will share electronic and print media coverage with the Team astra.
- Your company support will be acknowledged through banners, backdrops, posters etc. during promotional campaigns at various Inter college cultural and technical fests.
Sponsor Now


Hundreds of drag queens and kings from all over Europe converged on a small town in the Netherlands to film this fierce holiday lip dub. Lady Galore and the queens from Drag Queens United know how to party!
Lady Galore - Concept / organisation / Ass. director (literally) Dylan Tonk - Director Guillaume Versteeg - Camera / Editing 🎥 Lazlo Tonk - production assistant / editing GJ Kooijman - production assistant Naftalie Vader - production assistant Willemieke Bongers - production assistant Pascal Koelemij - production assistant Bambi Mercury - audio track


Other Classes
The following classes are available globally.
-
The
APSAVPlayer
is a media backend renderer that handles playback via the nativeAVPlayer
classes. SeeAPSMediaPlayerProtocol
for more details.To use, set up with the player shared instance:
[sharedInstance setBackendPlayerClass:[APSAVPlayer class]];
Declaration
Objective-C
@interface APSAVPlayer : NSObject <MPMediaPlayback, APSMediaPlayerProtocol, KRAdapter>
Swift
class APSAVPlayer : NSObject, MPMediaPlayback, APSMediaPlayerProtocol, KRAdapter
-
See moreAPSMediaOverlay
describes any overlay that theAPSMediaPlayer
instance needs to render during playback.Declaration
Objective-C
@interface APSMediaOverlay : APSMediaEvent <NSCopying, APSMediaTrackableObject>
Swift
class APSMediaOverlay : APSMediaEvent, NSCopying, APSMediaTrackableObject
-
The
APSMediaPlayerButtonOverlayController
allows placing a transparent overlay in a specific area of the player surface, that can trigger the launch of a specific URL. TheAPSMediaPlayer
instance will query theactionDelegate
object to interpret and launch the specified URL. If theactionDelegate
cannot respond to the URL, and the URL has a web scheme (http or https), it will be launched automatically in the in-app web browser.Configuration
To create an
APSMediaOverlay
of button type:- set the overlay object’s
type
property toAPSButtonOverlay
set the overlay object’s
properties
property to aNSDictionary
that can have the following keys and values:- kAPSButtonOverlayClickthrough: set this key to a
NSURL
reprezenting the URL that should be launched when the overlay is tapped. - kAPSButtonOverlayClicktracking: set this key to a
NSArray
ofNSURL
objects that will be tracked by the player when the overlay is tapped (see[APSMediaPlayer track:forEvent:type:]
). Note that thekAPSButtonOverlayClickthrough
key must also be set for tracking to happen - kAPSButtonOverlayWebviewDismissAction: set this key to a NSNumber created from the
APSWebviewDismissedAction
value that defines the expected playlist behavior on in-app web browser dismiss.
- kAPSButtonOverlayClickthrough: set this key to a
Declaration
Objective-C
@interface APSMediaPlayerButtonOverlayController : APSMediaPlayerOverlayController
Swift
class APSMediaPlayerButtonOverlayController : APSMediaPlayerOverlayController
- set the overlay object’s
-
The
APSMediaPlayerClosableOverlayController
class is meant to be a superclass for overlay controllers that need to display a configurable close button to remove the overlay from screen.The class adds a set of standard keys to any overlay controller’s own defined keys, to handle close button configuration. Methods are also exposed to allow a subclass to add and remove the close button from its view stack.
See moreDeclaration
Objective-C
@interface APSMediaPlayerClosableOverlayController : APSMediaPlayerOverlayController
Swift
class APSMediaPlayerClosableOverlayController : APSMediaPlayerOverlayController
-
The
APSMediaPlayerHTMLOverlayController
allows the inline loading of HTML content inside an overlay placed on top of video content.Configuration
To create an
APSMediaOverlay
of HTML type:- set the overlay object’s
type
property toAPSHTMLOverlay
set the overlay object’s
properties
property to aNSDictionary
that can have the following keys and values:- kAPSHTMLCodeContent: the actual HTML
NSString
to be loaded. - kAPSHTMLIframeSource:
NSString
containing the URL that should be loaded inside an iframe element. - kAPSHTMLScriptSource:
NSString
containing the URL of the JavaScript file that should be loaded and executed. - kAPSHTMLPageSource:
NSString
containing the URL to load directly in the webview container. - kAPSHTMLWidth:
NSNumber
corresponding to the integer value to be set for the meta viewport width property. - kAPSHTMLHeight:
NSNumber
corresponding to the integer value to be set for the meta viewport height property. - kAPSHTMLErrorURLs:
NSArray
containingNSURL
s to be tracked in case of error.
- kAPSHTMLCodeContent: the actual HTML
Declaration
Objective-C
@interface APSMediaPlayerHTMLOverlayController : APSMediaPlayerClosableOverlayController <WKNavigationDelegate>
Swift
class APSMediaPlayerHTMLOverlayController : APSMediaPlayerClosableOverlayController, WKNavigationDelegate
- set the overlay object’s
-
The
APSMediaPlayerImageOverlayController
allows placing an image on top of video content.Configuration
To create an
APSMediaOverlay
of image type:- set the overlay object’s
type
property toAPSImageOverlay
set the overlay object’s
properties
property to aNSDictionary
that can have the following keys and values:- kAPSImageOverlayClickthrough: set this key to a
NSURL
reprezenting the URL that should be launched when the overlay is tapped. - kAPSImageOverlayClicktracking: set this key to a
NSArray
ofNSURL
objects that will be tracked by the player when the overlay is tapped (see[APSMediaPlayer track:forEvent:type:]
). Note that thekAPSImageOverlayClickthrough
key must also be set for tracking to happen. - kAPSImageOverlayWebviewDismissAction: set this key to a NSNumber created from the
APSWebviewDismissedAction
value that defines the expected playlist behavior on in-app web browser dismiss. - kAPSImageOverlayViewtracking: set this key to a
NSArray
ofNSURL
objects that will be tracked by the player when the overlay is displayed (see[APSMediaPlayer track:forEvent:type:]
). - kAPSImageOverlayResourceURL:
NSURL
reprezenting the image to be loaded. - kAPSImageOverlayErrorURLs: set this key to a
NSArray
ofNSURL
objects that will be tracked by the player when there is an error loading the image (see[APSMediaPlayer track:forEvent:type:]
). - kAPSImageOverlayBackgroundColor: the background color of the overlay. Set this to a
NSString
containing the hex color reprezentation. Defaults to[UIColor clearColor]
. - kAPSImageOverlayStretchMode:
NSString
reprezenting the possible ways of scaling the image in the overlay surface. Possible values are:- “aspectFit”, that will set the overlay’s
contentMode
toUIViewContentModeScaleAspectFit
- “aspectFill”, that will set the overlay’s
contentMode
toUIViewContentModeScaleAspectFill
- “fill”, that will set the overlay’s
contentMode
toUIViewContentModeScaleToFill
- “center”, that will set the overlay’s
contentMode
toUIViewContentModeCenter
- “bottom”, that will set the overlay’s
contentMode
toUIViewContentModeTop
- “top”, that will set the overlay’s
contentMode
toUIViewContentModeBottom
- “left”, that will set the overlay’s
contentMode
toUIViewContentModeLeft
- “right”, that will set the overlay’s
contentMode
toUIViewContentModeRight
- “aspectFit”, that will set the overlay’s
- kAPSImageOverlayClickthrough: set this key to a
Declaration
Objective-C
@interface APSMediaPlayerImageOverlayController : APSMediaPlayerClosableOverlayController
Swift
class APSMediaPlayerImageOverlayController : APSMediaPlayerClosableOverlayController
- set the overlay object’s
-
The superclass of all overlay controllers. Implements
See moreAPSMediaPlayerOverlayControllerProtocol
.Declaration
Objective-C
@interface APSMediaPlayerOverlayController : UIViewController <APSMediaPlayerOverlayControllerProtocol>
Swift
class APSMediaPlayerOverlayController : UIViewController, APSMediaPlayerOverlayControllerProtocol
-
The
APSMediaPlayerTextOverlayController
allows the displaying of text on top of video content.Configuration
To create an
APSMediaOverlay
of text type:- set the overlay object’s
type
property toAPSTextOverlay
set the overlay object’s
parameters
property to aNSDictionary
that can have the following keys and values:- kAPSTextOverlayString: the
NSString
to be rendered. - kAPSTextOverlayStringColor: Font color for the rendered text. Set this to a
NSString
containing the hex color reprezentation. Defaults to[UIColor whiteColor]
. - kAPSTextOverlayStringFont:
NSString
indicating the font family to be used. Defaults to @“Helvetica”. - kAPSTextOverlayStringSize:
NSNumber
indicating the font size to be used. Defaults to 13.
- kAPSTextOverlayString: the
Replacable Placeholders
The
APSMediaPlayerTextOverlayController
will replace the following string placeholders with dynamic information:__remaining__
will be replaced with the remaining number of seconds for the current video clip being rendered.__ad_index__
will be replaced with the current ad index within the ad break.__total_ads__
will be replaced with the total number of ads within the ad break.
Declaration
Objective-C
@interface APSMediaPlayerTextOverlayController : APSMediaPlayerOverlayController
Swift
class APSMediaPlayerTextOverlayController : APSMediaPlayerOverlayController
- set the overlay object’s
-
Holds all configuration parameters for the banner ads displayed.
See moreDeclaration
Objective-C
@interface APSVASTBannerConfiguration : NSObject <NSCopying>
Swift
class APSVASTBannerConfiguration : NSObject, NSCopying
-
Holds all configuration parameters for the coundown overlay displayed on top of video ads.
See moreDeclaration
Objective-C
@interface APSVASTCountdownConfiguration : NSObject <NSCopying>
Swift
class APSVASTCountdownConfiguration : NSObject, NSCopying
-
The VAST Media Builder plugin extends an
APSMediaBuilder
object by inserting preroll, postroll, midroll and non-linear ad breaks, loaded from VAST 1.0, VAST 2.0, VAST 3.0 and VMAP 1.0 sources.Use the
[APSMediaBuilder addPlugin:]
method to attach anAPSVASTMediaBuilderPlugin
object to a media builder.Configuration of the plugin can be done in three ways:
- programatically configure the plugin object, using available properties;
- configure the plugin object directly, using a dictionary - see
[APSMediaBuilderPlugin configureFromDictionary:]
; - configure the plugin with JSON. This is done as part of the
APSMediaBuilder
object configuration from JSON or from a dictionary. If the supplied configuration dictionary or interpreted JSON dictionary contains the “ads” key, then the corresponding value dictionary for that key will be provided to the plugin for configuration.
Declaration
Objective-C
@interface APSVASTMediaBuilderPlugin : NSObject <APSMediaBuilderPlugin>
Swift
class APSVASTMediaBuilderPlugin : NSObject, APSMediaBuilderPlugin
-
Holds all configuration parameters for the skip button displayed on top of video ads
See moreDeclaration
Objective-C
@interface APSVASTSkipButtonConfiguration : NSObject <NSCopying>
Swift
class APSVASTSkipButtonConfiguration : NSObject, NSCopying
-
A
See moreKRHub
object can easily become a container of references to other objects or classes, organized in groups. To be able to register themselves with aKRHub
, objects must implement theKRAdapter
protocol. Within a single group there can not be more objects that declare the same type.Declaration
Objective-C
@interface KRHub : NSObject
Swift
class KRHub : NSObject


Navigating the internet today is somewhat second nature, if you wanted to find a site that involved “doors” you would go to a search engine and search the word doors and it would give you about one hundred different websites all relating to that search term in a third of a second. Navigating the web so easily was not always the case. Back in the early stages of the world wide web, search engines were not a thing. If you wanted to find some information you would need to search the internet for hours and hope you got lucky with whatever rabbit hole you went into.
Two individuals, Jerry Yang and David Filo who were graduate students at Stanford University, in an attempt to win a fantasy basketball league started searching the internet for up to date statistics in order to make better informed decisions. They stumbled upon the issue where they had no easy way to navigate or search for the information they needed which greatly lengthened their research process. This is when they developed a guide/directory to help new web users navigate the internet, the original idea was a page that had various topics and web pages sorted into each of them. The new name of this company the two made was Yahoo.
Excite, another search startup had also begun around the time which had a more technical approach on search than yahoo. Instead of having humans sort pages into various topics, their search would look for relevance within the pages it searched. Yahoo and Excite battled over technical success by being on the forefront of each other's additions, for example releasing emails and having the other incorporate email as well. The search engine companies got caught up in the competition that they lost site of their foundational products which was search.
While the battle between Excite and Yahoo raged on, a new search company began its inception, the name of this company was Google. Google used a technological approach like Excite however, they also incorporated determining relevance by views. By taking into account relevance, the search engine was able to become more effective than the other search engines. Google pitched their technology to search engine companies all over the valley which none gave them an offer. They had failed to sell their technology and the future looked dim for the small startup, until they met with an investor named Bechtolsheim who invested one hundred thousand dollars in them and this was followed by twelve million from other venture capital investors in the valley.
Google had essentially solved the single hardest problem on the internet but did not have the ability to make money at the time. They also refused to take money from advertisements like their competitors Yahoo and Excite. Google then learned about Bill Gross’ idea, who saw search engine data collection as the world’s most powerful market research tool. Google had essentially taken Gross’ idea which he incorporated into his site overture.com as the solution to their monetary business problem. Bill Gross eventually sued Google for similarities on his idea which they had made a settlement out of court.
On August, 19th 2004, Google went public and listed its shares on the New York Stock Exchange (NYSE). Wall Street had been angered by Google’s IPO process since they decided to carry out their offering in an unconventional way which received much criticism. In the end, the Google IPO was an ultimate success and now we know it as the tech giant it is today.


Evaluation of Models for predicting the average monthly Euro versus Norwegian krone exchange rate from financial and commodity information
Raju Rimal
Abstract
Many multinational companies and policy makers carry out decisions by speculating exchange rate. Exchange rate is determined by the demand and supply of a currency. It depends highly on variables like imports, exports, interest rates, oil prices, inflation and even with its past values. Since these macroeconomic variables are highly correlated with each other, latent variables or principal components can solve the problem of multicollinearity. The application of latent variables and prin- cipal components based methods such as Principal Component Regression (PCR) and Partial Least Square (PLS) in time series data for prediction is uncommon. Prediction of exchange rate of Norwegian Krone per Euro using Multiple linear re- gression, Principal Component Regression (PCR) and Partial Least Square (PLS) regression is performed in this dissertation.
Linear models and its subsets obtained using criteria such as minimum AIC or BIC and maximum R2adj are compared on the basis of their goodness of fit. The selected model is then compared with models from principal component regression and partial least square regression on the basis of predictability criteria of RMSEP and R2 predicted. The results have suggested the partial least square regression as the best models among other. The residuals obtained from the models have no au- tocorrelations so the application of this method has not only reduced the dimension of data but also resolved the problem of multicollinearity and autocorrelations.


Blasteroids!
A game for all computer scientists
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Help
Setting up the Client
You can download the Client using docker. To download the client, use from the command line:
docker pull quay.io/ucsc_cgl/core-client:1.0.1
Getting the token
If you don't have an access token, you can contact Brian O'Connor and request one.
Perform Bulk Download via Manifest
This assumes the current working directory (pwd) has a manifest, like the ones you can download from the file browser. The command below will then download the files to the current working directory.
NOTE: make sure you have enough space in pwd!
docker run ~~rm -e ACCESS_TOKEN=<access_token> -e REDWOOD_ENDPOINT=storage.ucsc-cgl.org -v `pwd`:/dcc/data quay.io/ucsc_cgl/core-client:1.0.1 redwood-download /dcc/data/manifest.tsv /dcc/data/
This will download the data in the current directory.
Upload via Spinnaker
Create a manifest that links your metdata and data. Your manifest.tsv should be a TSV based on this template.
You need to include file paths to your upload files that start with /dcc/data since that's the location used in the docker run below.
You should create a directory where you want to have your files for upload (assumed to be pwd), place your manifest.tsv in this directory along with all your files for upload, and then execute the following:
docker run ~~rm -e ACCESS_TOKEN=<access_token> -e REDWOOD_ENDPOINT=storage.ucsc-cgl.org -v `pwd`:/dcc/data quay.io/ucsc_cgl/core-client:1.0.1 spinnaker-upload /dcc/data/manifest.tsv
Once completed, you will find a receipt file (spinnaker/output_metadata/receipt.tsv) which you should save. It provides various IDs assigned to your donor, specimen, sample and file that make it much easier to find/audit later.
NOTE: Uploads can take a long time and our feedback on the command line needs to be improved. You may use dstat to monitor network usage to ensure uploads are in progress.
Downloading Metadata
You can get the latest Metadata dump by clicking here.


Provides the primary classes and interfaces for executing and interacting with processes in an asynchronous manner.


I was so excited by these heavy minute-guns following one another that I so far forgot my personal safety and my scalded hands as to clamber up into the hedge and stare towards Sunbury. As I did so a second report followed, and a big projectile hurtled overhead towards Hounslow. I expected at least to see smoke or fire, or some such evidence of its work. But all I saw was the deep blue sky above, with one solitary star, and the white mist spreading wide and low beneath. And there had been no crash, no answering explosion. The silence was restored; the minute lengthened to three.
Every moment I expected the fire of some hidden battery to spring upon him; but the evening calm was unbroken. The figure of the Martian grew smaller as he receded, and presently the mist and the gathering night had swallowed him up. By a common impulse we clambered higher. Towards Sunbury was a dark appearance, as though a conical hill had suddenly come into being there, hiding our view of the farther country; and then, remoter across the river, over Walton, we saw another such summit. These hill-like forms grew lower and broader even as we stared.
Moved by a sudden thought, I looked northward, and there I perceived a third of these cloudy black kopjes had risen. Everything had suddenly become very still. Far away to the southeast, marking the quiet, we heard the Martians hooting to one another, and then the air quivered again with the distant thud of their guns.
Now at the time we could not understand these things, but later I was to learn the meaning of these ominous kopjes that gathered in the twilight. Each of the Martians, standing in the great crescent I have described, had discharged, by means of the gunlike tube he carried, a huge canister over whatever hill, copse, cluster of houses, or other possible cover for guns, chanced to be in front of him. Some fired only one of these, some two--as in the case of the one we had seen; the one at Ripley is said to have discharged no fewer than five at that time. These canisters smashed on striking the ground--they did not explode--and incontinently disengaged an enormous volume of heavy, inky vapour, coiling and pouring upward in a huge and ebony cumulus cloud, a gaseous hill that sank and spread itself slowly over the surrounding country.  Nulla vel metus scelerisque ante sollicitudin commodo. Cras purus odio, vestibulum in vulputate at, tempus viverra turpis. Fusce condimentum nunc ac nisi vulputate fringilla. Donec lacinia congue felis in faucibus.Lauren Williams » 23 March 2013 » Reply
Cras sit amet nibh libero, in gravida nulla. Nulla vel metus scelerisque ante sollicitudin commodo. Cras purus odio, vestibulum in vulputate at, tempus viverra turpis. Fusce condimentum nunc ac nisi vulputate fringilla. Donec lacinia congue felis in faucibus. Enim ultrices, elementum phasellus. Mauris sed nulla sed, egestas feugiat a dictum libero, nunc sapien tri tique facilisis venenatis risus, suspendisse ac nec et. Nulla sed mauris, congue duis proin nonummy adipiscing vitae Mauris sed nulla sed, egestas feugiat a dictum libero, nunc sapien tristique facilisis venenatis risus. Enim ultrices, elementum phasellus. Mauris sed nulla sed, egestas feugiat a dictum libero, nunc sapien tristique.


Dog walker stunned after stumbling on massive RHEA in forest
Shocked Jason Burford was out walking his dog Molly in the Forest of Dean when he stumbled upon the huge 6ft avian
by James Rodger, https://www.facebook.com/jamesrodgerjournalistA dog walker was left stunned after seeing this massive RHEA bird - in a forest already known as the capital of Britain's booming wild boar population.
Shocked Jason Burford was out walking his dog Molly in the Forest of Dean when he stumbled upon the huge 6ft avian.
The 48-year-old was stopped in his tracks by the sight of the bird rounding a corner.
He then advanced towards creature and filmed it on his phone before it eventually ran off into the distance.
An animal expert has confirmed it is likely the bird escaped from a local collection.
Jason has already seen wild boar in the area which is currently one of the centres of the UK's booming population.
Boars there have attacked animals, people, dug up gardens and playing fields and have even learned when bin day is so they can rummage in them for food.
British woodlands are increasingly populated with exotics species - including parrots, wallabies and big cats.
Jason, who keeps chickens and bantams at home, said: "I hadn't been there for years but I went on a whim as I used to live there.
"I just rounded the corner and there it was. I'm used to it though, living in the forest. I wasn't worried.
 But, for someone else, it could have been a shock.
"It could have done an untrained dog some damage. Some don't even come back to their owners in the garden.
"It's a funny story but it could have been nasty. I was just trying to get it off the track."
Retired Jason, from Cinderford, Glos., said the bird was almost six feet tall from where he was standing - making for an imposing sight.
He added: "I stopped videoing but you want to see it with its feathers fully stretched out!"
Mr Burford claims that the bird escaped from a nearby field where some animals had been abandoned.
He said: "I've since discovered where it came from. It's been reported to the RSPCA."
Rheas are not the only large animals to be running free in the Forest of Dean.
The area has also suffered problems with aggressive wild boars in recent years - something Mr Burford has experienced firsthand.
He said: "I have had them run at me and chase the dog. You don't want that happening. They really frighten you.
"Once the dog ran off into the bushes and a huge boar suddenly appeared. Well the dog came straight at me - so the boar came too!
"I'd watched a film about bears the night before and it said what you have to do is make yourself big and scream 'AAAARGH' so I thought I'd do that.
"The boar just stopped in its tracks and left!
A spokeswoman for the Royal Society for the Protection of Birds confirmed the bird was a rhea yesterday (Tues).
She added that is had likely escaped from a local collection.
Jason spotted the bird on November 3 in the area of Drybrook, Glos. Molly is a cross between a Border Collie and a Labrador.


TITANIC TOWN A film review by David N. Butterworth Copyright 2000 David N. Butterworth
*** (out of ****)
Of all the films about The Troubles, Northern Ireland's 25+ year politico-religious struggle with its neighbor from across the Irish Sea, the newly-released "Titanic Town" brings the day-to-day horrors of a family forced to cope with British occupation to the fore better than any other.
Less intent on airing its own political views, the focus in Roger Michell's film is on the McPhelimy's--mother Bernie (Julie Walters), father Aidan (Ciarán Hinds), and their growing family of four.
And it's the daily difficulties of raising children under such extreme conditions that makes this true-life saga so powerful.
Michell made "Notting Hill" and here's another fine film that looks a foregone conclusion on the surface yet proves to be surprisingly potent once it starts to get inside the means and motivations of its central characters.
The Irish Republican Army's claim that they are "for the people" is questioned in this story of a naďve yet courageous Catholic woman who challenges both the Provisionals and the British government by forming a peace movement. All that Bernie McPhelimy wants, at least initially, is to establish a normal living environment for her family. Normal in the sense of "no shooting during daylight hours," that is.
Walters is a knock-out as the attention-seeking Bernie who puts her family in the frontline by expressing her views publicly, in town meetings and later on television. Walters' Irish accent is impeccable and her performance truly dominant; this is easily the actor's best role since "Educating Rita" (in fact, she might well have bettered herself here).
Hinds is no less impressive in a more subdued role. With a look of Alan Bates, his Aidan is a scared, powerless man whose ulcer causes him to double up in pain every time a mortar shell cracks or a brick comes crashing through the dining room window. A particularly telling scene shows him watching from an upstairs bedroom window while his wife grapples with an armed demonstrator on their front stoop.
In addition to the film's absorbing central theme, there's also a well-developed subplot in which Annie, the McPhelimy's teenage daughter (an outstanding Nuala O'Neill), fosters a relationship with a young medical student (nicely played by Ciarán McMenamin). Their introduction on a double-decker bus is a stunner: before they've exchanged so much as a couple of words, the bus is stoned and firebombed by demonstrators in the Falls Road, a particularly volatile section of the city.
It's scenes like these in which "Titanic Town" (named for the place in which they built the ill-fated liner) hits home time and time again. For all the false hopes and promises of a ceasefire, for all the political rhetoric, those affected the most are the living, breathing inhabitants of the city of Belfast. And in this gritty, realistic, and excellently acted film, those daily horrors are uncompromisingly brought to life.
-- David N. Butterworth<EMAIL_ADDRESS>Got beef? Visit "La Movie Boeuf" online at http://members.dca.net/dnb
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Handles the selection and review of Exeter's assembly speakers.
Oversees the allocation and distribution of Student Council funds.
Creates amendments to the constitution of Student Council.
Handles all relations between the student body and the Dining Hall.
Oversees all elections for elected positions in Student Council.
Organizes all Student Council fuctions for the Exeter Community.
Creates proposals for amendments to the Constitution or school rules.
Connects student council to the student body through social media.
Creates and provides access to student services in the Exeter Community.


LAST BLOCK
Network Difficulty
Gas Price
Account Overview
Balance:
Ether Value:
Transcations
TxHash
Block
From
To
Value(Ether)
TxFee(Ether)


, based on your answers to our questions, the options best aligned (in order) to your healthcare goals include:
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dc.datatables.js replaces the minimal dc.dataTable with an interactive table from the popular and highly customizable DataTables library.
This page displays the familiar dc.js stock example but with an interactive table. Scroll down to the bottom of this page to see dc.datatables.js in action!
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tnetwork
Overview
Who uses tnetwork?


{% extends "admin/skeleton.html" %} {% import "admin/posts_macros.html" as posts %} {% block title %}Delete Post{% endblock %} {% block maincontent %}
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When the Yahoo! has been sold out, I start to worry about the future of Flickr.com.
It's time for me to build an own Photo gallery.
An open-source project hosted in GithubEnjoy coding.
Using those fantastic new technologies for this app is quite interesting!


Waiting for host to start match...
Controls:
Click the WebGL canvas to capture the mouse cursor
Move: WASD
- W forward
- S backward
- A turn left
- D turn right
Look: move mouse
Left click: shoot


{% extends 'base.html' %} {% load static %} {% block title %}Welcome Home{% endblock %}
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At Mustard Plaster, a splendid recipe for bubble and squeak by Christopher Smart:
“Take of Beef, Mutton, or Lamb, or Veal, or any other meat, two Pounds and an half, or any other Quantity; let it lay in Salt, till the saline Particles have lock'd up all the Juices of the Animal, and render'd the Fibres too hard to be digested; then boil it over a Turf or Peat Fire, in a Brass Kettle cover'd with a Copper Lid, till it is much done. Then take Cabbage (that which is most windy, and capable of producing the greatest Report) and boil it in a Bell-Metal Pot till it is done enough, or if you think it proper, till it is done too much. Then slice the beef, and souse that and the Cabbage both in a Frying-Pan together, and let it bubble and squeak over a Charcoal Fire, for half an Hour, three Minutes, and two Seconds.


A few days ago, I received a mail from the swiss hosting company I usually work with.
They told me the eosgarden's website used too much resources on the shared server. O_o
The traffic has indeed increased. About 300% more, based on Google analytics stats.
A few apps on MacUpdate, a few tweets about the apps, and badaboum... The server crashed.
So they told me (rudely) I had to switch to a VPS.
50 bucks more. Mmmm, swiss providers...
So I moved to a provider in France. Now I got a VPS, with Debian 5, for the same price as the shared server!
The provider is LWS. I have to say the service is great!