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# Mini​Py

ST3

Sublime Text 3 plugin - inline python evaluation

## Installs

• Total 2K
• Win 836
• Mac 499
• Linux 350
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Source
raw.​githubusercontent.​com

# MiniPy

Sublime Text 3 plugin - inline python evaluation.

## Functionality

### As a calculator

For example you can write 3.14*0.6 and get the result 1.884 in your text. It also supports multiple selection.

### Incremnt counter at cursor positions

Another feature is the use of $as accumolation variable, e.g. having the following multipe selection: arr[$]
arr[$] arr[$]


will result with

arr[1]
arr[2]
arr[3]


similarly:

arr[0 ]      arr[0]
arr[$+2] -> arr[3] arr[$*3]     arr[6]


### General Python evalueator

Besides that, you have the following imports avaiable:

from math import *
from random import *
from collections import Counter
import datetime
import re  # though you should probably use the build in regex features of ST instead.


So you can do:

Counter(('Ann', 'Bob', 'Bob', 'Michael'))                                     -> Counter({'Bob': 2, 'Ann': 1, 'Michael': 1})
Counter(('Ann', 'Bob', 'Bob', 'Michael', 'michael'))                          -> Counter({'Bob': 2, 'Ann': 1, 'michael': 1, 'Michael': 1})
Counter(name.title() for name in ('Ann', 'Bob', 'Bob', 'Michael', 'michael')) -> Counter({'Bob': 2, 'Michael': 2, 'Ann': 1})


### Computing checksums

And the functions md5 and sha1 returns the correspondingly hex-digest of the stringified version of the inputs, e.g. md5(['foo', 'bar', 'baz']) = dbb432a3f0ac1a2687911715dfbf7502. Notice that it's possible to hash the list because it's the string-representation of the list which are being hashed!

The python hashlib.md5 and hashlib.sha1 functions are avaiable under the names _md5 and _sha1.

### Inserting datatimes

The functions dnow, tnow and dtnow return respectively the current string-formatted date, time and datetime:

dnow()  -> 03/05/2017
tnow()  -> 09:36:03
dtnow() -> 03/05/2017 09:36:03


Notice that you need to have parenthesis after the function name to invoke the function call.

### Computing with sets

While you can just use the regular python to do set computations, there's a few functions included for convinience: set_intersect, set_difference and set_symdiff.

The functions takes two iterable arguments, which are turned into sets, and the computations are performed:

set_intersect('foo bar', 'foo baz')  -> {'b', ' ', 'a', 'f', 'o'}
set_intersect('foo baz', 'foo bar')  -> {'b', 'a', ' ', 'o', 'f'}
set_difference('foo baz', 'foo bar') -> {'z'}
set_difference('foo bar', 'foo baz') -> {'r'}
set_symdiff('foo baz', 'foo bar')    -> {'z', 'r'}
set_symdiff('foo bar', 'foo baz')    -> {'z', 'r'}


### Computing cumulative sums and products

Compute the cumulative sum of an iterable:

cumsum([1,2,3,4,5]) -> [1, 3, 6, 10, 15]
cumsum([0.02809, 0.05619, 0.08646, 0.11919, 0.15192, 0.18465, 1.31694]) -> [0.02809, 0.08428, 0.17074, 0.28993, 0.44185, 0.6265000000000001, 1.94344]


And a cumulative product

cumprod([1, 2, 3, 4, 5]) -> [1, 2, 6, 24, 120]
cumprod([0.02809, 0.05619, 0.08646, 0.11919, 0.15192, 0.18465, 1.31694]) -> [0.02809, 0.0015783771, 0.000136466484066, 1.626544023582654e-05, 2.471045680626768e-06, 4.5627858492773275e-07, 6.008915196347284e-07]


But doing products of a lot of small numbers are prone to errors, so we can use a math trick:
, where A is the iterable. This will increase the numerical stability, as seen in this example:

cumprod([1e-8, 1e-9, 1e-10, 1e-11, 1e-12, 1e-13, 1e-14]) -> [1e-08, 1e-17, 1e-27, 1e-38, 9.999999999999999e-51, 9.999999999999999e-64, 1e-77]
cumprod([1e-8, 1e-9, 1e-10, 1e-11, 1e-12, 1e-13, 1e-14], use_logsum=True) -> [9.999999999999982e-09, 9.99999999999999e-18, 1.0000000000000022e-27, 9.999999999999936e-39, 9.999999999999944e-51, 1.0000000000000049e-63, 9.999999999999967e-78]
cumprod([1e-8, 1e-9, 1e-10, 1e-11, 1e-12, 1e-13, 1e-14], use_logsum=True) -> # same result as above.


### Formatting numbers

The function formatnum formats numbers, and takes two mandatory and an optional argument:

num : The number bieng formatted.

digits : The number of desired digits in the formatted number.

scientificNotation : Wether of not to use scientific notation. : Can be True, False or int, where int is the threshold for how many characters the number may contain when formatted un-scientifically, before switching to scientific notation. : This is the default behaviour, and it's set to 8.

Example usage:

formatnum(0.123456789, 4)                -> 0.1235
formatnum(0.123456789, 9)                -> 1.234567890e-01
formatnum(123456789.0, 9)                -> 1.234567890e+08
formatnum(123456789.0, 2)                -> 1.23e+08
formatnum(123.456789, 12)                -> 1.234567890000e+02
formatnum(123.456789, 12, False)         -> 123.456789000000
formatnum(123.456789, 3)                 -> 123.457
formatnum(3.14159, 4)                    -> 3.1416
formatnum(3.14159, 3)                    -> 3.142
formatnum(3.14159, 2)                    -> 3.14
formatnum(3.14159, 2, True)              -> 3.14e+00
formatnum(3.141592653589793238462643, 3) -> 3.142


### Convert Timestamp to human readable time

The function ts transform timestamp as unix time, which is seconds since epoch to string using supplied format

ts(1478002058.368)               ->  2016-11-01T12:07:38.368000+0000
ts(1478002058.368, '%Y%m%d')     ->  20161101


## Usage

To evaluate term, highlight and:

Super + Shift + X for Mac OS X
Ctrl + Shift + X for Windows/Linux