Module squish
source code
squish [BINARY_FUNCTION ...]
Each input sequence is reduced to a single value, using
BINARY_FUNCTION
to combine the values.
BINARY_FUNCTION
is a binary function that can be used for
reduction, e.g. +
, *
, max
,
min
, but not 
or /
.
Example: If one of the inputs is the list [1, 2, 3,
4]
, then:
squish +
will generate 10
(= 1 + 2 + 3 + 4
).
The result is exactly equivalent to what would be produced by using
the Python function map
, e.g.:
map 'list: squish(lambda a, b: a + b, list)'
If input sequences contain nested sequences, then multiple
BINARY_FUNCTION
s can be provided, to do multiple reductions
at once. For example, if one input sequence is [[10, 20, 30], [1,
100, 1000], [111, 222, 333]]
then:
squish + max min
will produce [122, 222, 30]
. 122
is 10
+ 1 + 111
, 222
is max(20, 100, 222)
, and
30
is min(30, 1000, 333)
.
If no BINARY_FUNCTION
is provided, then +
is
assumed.
Each input sequence is reduced to a single value. Elements of the
input sequence are combined using a squish_op , a binary
function that can be used for reduction, i.e. a binary associative
function such as addition, but not subtraction, (because x + y = y + x,
but x  y != y  x). If input sequences contain nested sequences, then
multiple squish_op s can be provided, to do multiple
reductions at once. The squish_op can be a functionvalued expression, a
string function expression (e.g. 'x, y: x + y' ), or a string
describing a binary associative operator, specifically one of: +,
*, ^, &, , and, or .
