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Top Forums UNIX for Dummies Questions & Answers Maximum number of data in Python Post 302938136 by sxiong on Thursday 12th of March 2015 12:27:52 PM
Old 03-12-2015
Maximum number of data in Python

Hi all,

I would like to save my output data in two columns. I tried
Code:
print(x,y)

but have two problems:
1. There are ~10000 values for each x and y, but the intermediates are omitted;
2. I'd like to list data in two columns instead of two arrays (BTW, it's fine as I can format it using other scripts. I just want to know whether there is any "magic" Python command).

Here is the output data:
Code:
(array([  0.00000000e+00,   1.00000000e-02,   2.00000000e-02, ...,
         9.99700000e+01,   9.99800000e+01,   9.99900000e+01]), array([ 0.        , -0.00596894, -0.01193791, ..., -0.00693311,
       -0.00696012, -0.00698441]))

Any comment would be highly appreciated!

Many thanks,
Sxiong

Last edited by sxiong; 03-12-2015 at 01:42 PM..
 

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bup-margin(1)						      General Commands Manual						     bup-margin(1)

NAME
bup-margin - figure out your deduplication safety margin SYNOPSIS
bup margin [options...] DESCRIPTION
bup margin iterates through all objects in your bup repository, calculating the largest number of prefix bits shared between any two entries. This number, n, identifies the longest subset of SHA-1 you could use and still encounter a collision between your object ids. For example, one system that was tested had a collection of 11 million objects (70 GB), and bup margin returned 45. That means a 46-bit hash would be sufficient to avoid all collisions among that set of objects; each object in that repository could be uniquely identified by its first 46 bits. The number of bits needed seems to increase by about 1 or 2 for every doubling of the number of objects. Since SHA-1 hashes have 160 bits, that leaves 115 bits of margin. Of course, because SHA-1 hashes are essentially random, it's theoretically possible to use many more bits with far fewer objects. If you're paranoid about the possibility of SHA-1 collisions, you can monitor your repository by running bup margin occasionally to see if you're getting dangerously close to 160 bits. OPTIONS
--predict Guess the offset into each index file where a particular object will appear, and report the maximum deviation of the correct answer from the guess. This is potentially useful for tuning an interpolation search algorithm. --ignore-midx don't use .midx files, use only .idx files. This is only really useful when used with --predict. EXAMPLE
$ bup margin Reading indexes: 100.00% (1612581/1612581), done. 40 40 matching prefix bits 1.94 bits per doubling 120 bits (61.86 doublings) remaining 4.19338e+18 times larger is possible Everyone on earth could have 625878182 data sets like yours, all in one repository, and we would expect 1 object collision. $ bup margin --predict PackIdxList: using 1 index. Reading indexes: 100.00% (1612581/1612581), done. 915 of 1612581 (0.057%) SEE ALSO
bup-midx(1), bup-save(1) BUP
Part of the bup(1) suite. AUTHORS
Avery Pennarun <apenwarr@gmail.com>. Bup unknown- bup-margin(1)
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