Snuggs are s-expressions for Numpy

Snuggs are s-expressions for Numpy

>>> snuggs.eval("(+ (asarray 1 1) (asarray 2 2))") array([3, 3])

## Syntax

Snuggs wraps Numpy in expressions with the following syntax:

expression = "(" (operator | function) *arg ")" arg = expression | name | number | string

## Examples

### Addition of two numbers

import snuggs snuggs.eval('(+ 1 2)') # 3

### Multiplication of a number and an array

Arrays can be created using `asarray`.

snuggs.eval("(* 3.5 (asarray 1 1))") # array([ 3.5, 3.5])

### Evaluation context

Expressions can also refer by name to arrays in a local context.

snuggs.eval("(+ (asarray 1 1) b)", b=np.array([2, 2])) # array([3, 3])

This local context may be provided using keyword arguments (e.g.,
`b=np.array([2, 2])`), or by passing a dictionary that stores
the keys and associated array values. Passing a dictionary, specifically
an `OrderedDict`, is important when using a function or operator that
references the order in which values have been provided. For example,
the `read` function will lookup the `i-th`

value passed:

ctx = OrderedDict(( ('a', np.array([5, 5])), ('b', np.array([2, 2])) )) snuggs.eval("(- (read 1) (read 2))", ctx) # array([3, 3])

## Functions and operators

Arithmetic (`* + / -`) and logical (`< <= == != >= > & |`) operators are
available. Members of the `numpy` module such as `asarray()`, `mean()`,
and `where()` are also available.

snuggs.eval("(mean (asarray 1 2 4))") # 2.3333333333333335

snuggs.eval("(where (& tt tf) 1 0)", tt=numpy.array([True, True]), tf=numpy.array([True, False])) # array([1, 0])

## Higher-order functions

New in snuggs 1.1 are higher-order functions `map` and `partial`.

snuggs.eval("((partial * 2) 2)") # 4 snuggs.eval('(asarray (map (partial * 2) (asarray 1 2 3)))') # array([2, 4, 6])

## Performance notes

Snuggs makes simple calculator programs possible. None of the optimizations of, e.g., numexpr (multithreading, elimination of temporary data, etc) are currently available.

If you’re looking to combine Numpy with a more complete Lisp, see Hy:

=> (import numpy) => (* 2 (.asarray numpy [1 2 3])) array([2, 4, 6])

## Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
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snuggs-1.4.1-py2-none-any.whl (6.1 kB) Copy SHA256 Checksum SHA256 | py2 | Wheel | Jan 2, 2017 |

snuggs-1.4.1-py3-none-any.whl (6.1 kB) Copy SHA256 Checksum SHA256 | py3 | Wheel | Jan 2, 2017 |

snuggs-1.4.1.tar.gz (4.3 kB) Copy SHA256 Checksum SHA256 | – | Source | Jan 2, 2017 |