PdArray | PdArray plugin for VCV Rack | Audio Utils library
kandi X-RAY | PdArray Summary
kandi X-RAY | PdArray Summary
PdArray is a plugin for the VCV Rack virtual modular synthesizer that allows creating custom envelopes, much like the array object in Pure Data. You can enter values into the array either by manually drawing, recording an input, or loading a sample. A CV input controls the position of a cursor for reading out the array values. There are two outputs: one will output the stepped values of the array directly (useful for e.g. sequencing), and the other will output smooth interpolated values, using the same interpolation algorithm as the tabread4~ object in Pd. PdArray can be used as an envelope generator, sequencer, sample player, waveshaper or in a number of other weird and interesting ways. The plugin also contains two small companion modules called Miniramp and Ministep. Miniramp can be used to to easily record or read out the array sequentially, while Ministep helps with stepping through the array using a clock, like a traditional sequencer.
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QUESTION
I am comparing the contents of two different databases that contain product data (one for my brick and mortar store, and one for my webstore). I do an array_diff to check for the new/old values, and then take that output and compare it to another array using array_diff, and get the array to string conversion error. I am presenting the two lines that should be the main issue, if you need more information, please ask and I am happy to provide. $webArray and $pdArray are both outputs from a mysqli query. The point of these two lines is to subtract the inventory ids from the brick and mortar from the webstore inventory (to get the list of sold items), then subtract that result from the webstore database. Thank you guys so much!
...ANSWER
Answered 2019-Oct-30 at 20:06Here is a method that will give you array_diff on multi-dimensional arrays.
QUESTION
tl;dr How do I use pySpark to compare the similarity of rows?
I have a numpy array where I would like to compare the similarities of each row to one another
...ANSWER
Answered 2017-Aug-07 at 15:01First, the columnSimilarities
method only returns the off diagonal entries of the upper triangular portion of the similarity matrix. With the absence of the 1's along the diagonal, you may have 0's for entire rows in the resulting similarity matrix.
Second, a pyspark RowMatrix
doesn't have meaningful row indices. So essentially when converting from a CoordinateMatrix
to a RowMatrix
, the i
value in the MatrixEntry
is being mapped to whatever is convenient (probably some incrementing index). So what is likely happening is the rows that have all 0's are simply being ignored and the matrix is being squished vertically when you convert it to a RowMatrix
.
It probably makes sense to inspect the dimension of the similarity matrix immediately after computation with the columnSimilarities
method. You can do this by using the numRows()
and the numCols()
methods.
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