be/test/sql/array.sql at master · python-postgres/be

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-- This first test is used to validate the Array type's ability

-- to handle different typlen elements. text and bytea are redundant in that

-- fashion, but keep both to cover extra bases...

CREATE OR REPLACE FUNCTION py_check_array() RETURNS SETOF text LANGUAGE python AS

$python$

import Postgres

import operator

import itertools

import random

def get_n_samples(n, s):

'get "n" number of random objects from "s" (dups are likely)'

return list(itertools.islice((

x for x in itertools.cycle(s)

if random.random() > 0.6

), n))

# sample types and data

# yes, random is bad, but we're not actually testing

# for transient failures. this is just an easy (lazy) way to

# collect N samples for any given need.

etypes = [

(Postgres.types.int2, set([

-1, 0, 1, 0x7FF, -0xFF, None

])),

(Postgres.types.int4, set([

-1, 0, 1, 0x7FFFFF, -0xFFFFF, None

])),

(Postgres.types.int8, set([

-1, 0, 1, 0x7FFFFFFFFF, -0xFFFFFFFFF, None

])),

(Postgres.types.text, set([

"some text", "some more text",

"less text", "that text", "meh",

"element", "sample", "a"*50,

"z"*100, None

])),

(Postgres.types.bytea, set([

b'foobar\x00', r"\000foobar",

b'FFF'*100, b'\x01'*20, None

])),

(Postgres.types.bpchar, set([

'x', 'Y', 'a', 'b', 'n', None

])),

(Postgres.types.bool, set([

None, 't', 'f', True, False, 1, 0

]))

]

# Test all the array interfaces

def test_array(etyp, samples):

at = etyp.Array

E = at([])

assert len(E) == 0

assert E.ndim == 1

assert E.dimensions[0] == 0

assert E.lowerbounds[0] == 1

try:

E[0]

except IndexError:

pass

else:

assert False and "failed to raise IndexError"

one_d = get_n_samples(20, samples)

A = at(one_d)

assert len(one_d) == 20

assert len(A) == 20

assert A.Element is etyp

assert type(A).Element is etyp

assert type(A).Element.Array is at

# Only works for single dimensions, ATM

assert list(A) == A

assert A.ndim == 1

assert A.dimensions[0] == 20

assert A.nelements == 20

assert A.lowerbounds[0] == 1

assert len(A.dimensions) == 1

assert len(A.lowerbounds) == 1

# Considering the way the elements are generated,

# this could give a false positive, but it's not likely

# for all of the types to fail.

assert A[-1] == A[len(A)-1]

assert A[-len(A)] == A[0]

assert A[:] is A

assert A[0:] is A

# check slicing

assert (A[:10] + A[11:]) == A

def main():

for et, samples in etypes:

yield 'checking ' + et.__name__

test_array(et, samples)

yield 'success'

$python$;

SELECT py_check_array();

CREATE OR REPLACE FUNCTION py_array_len(anyarray) RETURNS int LANGUAGE python AS

$python$

main = len

$python$;

SELECT py_array_len(ARRAY[1,2,3,4]::int[]);

SELECT py_array_len(ARRAY[[1,2],[3,4]]::int[]);

SELECT py_array_len('[2:4]={1,2,3}'::int[]);

SELECT py_array_len('[2:4][3:4]={{1,2},{3,4},{5,6}}'::int[]);

-- When the limitation of steps of 1 no longer exists,

-- this should be removed and additional checks should be added

-- to the test above.

CREATE OR REPLACE FUNCTION cant_use_not1_step(int[]) RETURNS text LANGUAGE python AS

$python$

import Postgres

def main(x):

x[0:10:2]

$python$;

SELECT cant_use_not1_step('{1,2,3,4,5}'::int[]);

-- The Array constructor requires a string or a list.

CREATE OR REPLACE FUNCTION array_type_error() RETURNS text LANGUAGE python AS

$python$

from Postgres.types import int4

AT = int4.Array

def main():

AT((1,2,3))

$python$;

SELECT array_type_error();

-- Build arrays from lists with varying dimensions

CREATE OR REPLACE FUNCTION try_deep_arrays() RETURNS text LANGUAGE python AS

$python$

from Postgres.types import int4

AT = int4.Array

def main():

a0 = AT([])

a1 = AT([0])

a2 = AT([[0],[1]])

a3 = AT([[0,1],[2,3]])

a4 = AT([[[0,1],[2,3]], [[4,5],[6,7]]])

a5 = AT([[[0,1,2],[3,4,5]], [[6,7,8],[9,10,11]]])

a6 = AT([

[[0,1,2],[3,4,5]], [[6,7,8],[8,9,10]],

[[11,12,13],[14,15,16]], [[17,18,19],[20,21,22]]

])

a7 = AT([

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

]

])

a8 = AT([

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

])

a9 = AT([

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

])

a10 = AT([

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,111,2]], [[1,2,3],[2,1333,0]],

[[100,1,2],[0,1,2]], [[1,222,3],[2,1,0]],

[

[[0,1212121,2],[0,1,2]], [[1,20202,3],[2,1,110]],

[[0,1,2],[102220,1,2]], [[1,2,30303],[2,10101,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[[0,15,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,22,3],[2,1,0]],

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,27,3],[2,1,0]],

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[

[[0,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

[[19,1,2],[0,1,2]], [[1,2,3],[2,1,0]],

])

return '\n'.join(str(x) for x in [

a0, a1, a2, a3, a4, a5, a6, a7, a8, a9, a10

])

$python$;

SELECT try_deep_arrays();

CREATE OR REPLACE FUNCTION string_array_elements(anyarray) RETURNS text LANGUAGE python AS

$python$

def main(array):

return str(list(array.elements()))

$python$;

SELECT string_array_elements(ARRAY[1::int2,5]);

SELECT string_array_elements(ARRAY[1::int4,5]);

SELECT string_array_elements(ARRAY[1::int8,5]);

SELECT string_array_elements(ARRAY[3::float8,18.0123]);

SELECT string_array_elements(ARRAY[['key','val'],['key2','val2']]::text[]);

SELECT string_array_elements(ARRAY[[NULL,'val'],['key2','val2']]::text[]);

SELECT string_array_elements(ARRAY[[[NULL,'val']],[['key2',NULL]]]::text[]);

-- test Array.from_elements constructor

CREATE OR REPLACE FUNCTION construct_array_from_elements(dims int[], lbs int[]) RETURNS text[] LANGUAGE python AS

$python$

def main(dims, lbs):

return __func__.output.from_elements(

["first","second","third","fourth"],

dimensions = dims,

lowerbounds = lbs)

$python$;

-- Working with a simple array, apply different dimensions and lowerbounds.

SELECT construct_array_from_elements(NULL, NULL);

SELECT construct_array_from_elements(ARRAY[4], ARRAY[2]);

SELECT (construct_array_from_elements(ARRAY[4], ARRAY[2]))[1] IS NULL AS out_of_bounds;

SELECT (construct_array_from_elements(ARRAY[4], ARRAY[2]))[5];

SELECT construct_array_from_elements(ARRAY[2,2], ARRAY[1,1]);

-- same, but (1,1) lowerbounds are implied

SELECT construct_array_from_elements(ARRAY[2,2], NULL);

SELECT construct_array_from_elements(ARRAY[1,1,1,4], NULL);

SELECT i[1][1][1][1] AS i1, i[1][1][1][2] AS i2, i[1][1][1][3] AS i3, i[1][1][1][4] AS i4 FROM construct_array_from_elements(ARRAY[1,1,1,4], NULL) AS A(i);

SELECT construct_array_from_elements(ARRAY[1,1,4,1], NULL);

SELECT construct_array_from_elements(ARRAY[1,2,2,1], NULL);

-- some errors

SELECT construct_array_from_elements(NULL, ARRAY[1,1]);

SELECT construct_array_from_elements(ARRAY[1,1], ARRAY[2,2,2]);

SELECT construct_array_from_elements(ARRAY[0,0,0], ARRAY[0,0,0]);

-- Create a new array using the components of the original

CREATE OR REPLACE FUNCTION reconstruct_array(anyarray) RETURNS text LANGUAGE python AS

$python$

def main(A):

original = str(A)

return 'original: %s --- reconstructed: %s' %(

original, str(type(A).from_elements(

A.elements(),

dimensions = A.dimensions,

lowerbounds = A.lowerbounds

))

)

$python$;

SELECT reconstruct_array('{}'::int[]);

SELECT reconstruct_array(ARRAY[0,1,2,3,4,5,6,7,8,9]::int[]);

SELECT reconstruct_array('[3:5]={1,2,3}'::int[]);

SELECT reconstruct_array('[3:5]={1,2,3}'::text[]);

SELECT reconstruct_array('[1:2][1:2]={{t1,t2},{t3,t4}}'::text[]);

SELECT reconstruct_array('[2:5][1:2]={{x,y},{t1,t2},{t3,t4},{a,b}}'::text[]);

-- And a NULL case.

SELECT reconstruct_array(ARRAY[NULL,'foo',NULL]::text[]);

-- And a composite case..

DROP TYPE IF EXISTS array_composite;

CREATE TYPE array_composite AS (i int, t text, c "char");

SELECT reconstruct_array(ARRAY[ROW(1,'t','c'), NULL, ROW(100,'text','z')]::array_composite[]);

-- Attempt to create an array using invalid elements

CREATE OR REPLACE FUNCTION invalid_elements(text) RETURNS text LANGUAGE python AS

$python$

from Postgres.types import int8

def main(x):

int8.Array.from_elements([x])

return 'failed'

$python$;

SELECT invalid_elements('foo');

-- Test sql_get_element() method

CREATE OR REPLACE FUNCTION py_array_sql_get_element(anyarray, int[]) RETURNS anyelement LANGUAGE python AS

$python$

def main(arr, ind):

return arr.sql_get_element(ind)

$python$;

SELECT py_array_sql_get_element(ARRAY[1,2,3,4]::int[], ARRAY[1]);

SELECT py_array_sql_get_element(ARRAY[1,2,3,4]::int[], ARRAY[2]);

SELECT py_array_sql_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[2,1]);

SELECT py_array_sql_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[1,1]);

-- NULLs

SELECT py_array_sql_get_element(ARRAY[1,2,3,4]::int[], ARRAY[5]); -- out of bounds

SELECT py_array_sql_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[2]); -- too few

SELECT py_array_sql_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[1,2,3,4,5,6,7,8,9,10]); -- too many

-- Some repetition.

SELECT py_array_sql_get_element(ARRAY[[[[[['deep']]]]]]::text[], ARRAY[1,1,1,1,1,1]);

SELECT py_array_sql_get_element(ARRAY[[[[[['deep']]]]]]::text[], ARRAY[1,1,1,1,1]);

-- won't even get into plpython (too many dimensions)

SELECT py_array_sql_get_element(ARRAY[[[[[[['deep']]]]]]]::text[], ARRAY[1,1,1,1,1,1,1]);

-- Test get_element() method *zero*-based.

CREATE OR REPLACE FUNCTION py_array_get_element(anyarray, int[]) RETURNS anyelement LANGUAGE python AS

$python$

def main(arr, ind):

return arr.get_element(ind)

$python$;

-- index error, no elements

SELECT py_array_get_element('{}'::int[], ARRAY[0]);

-- value error, empty index tuple

SELECT py_array_get_element('{}'::int[], '{}'::int[]);

-- success

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[1]);

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[3]);

-- negative indexes

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[-1]);

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[-2]);

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[-3]);

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[-4]);

-- IndexError's

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[-5]);

SELECT py_array_get_element(ARRAY[1,2,3,4]::int[], ARRAY[4]);

-- MD access

SELECT py_array_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[1,0]);

SELECT py_array_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[-1,-1]);

-- ValueError, too few

SELECT py_array_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[2]);

-- ValueError, too many

SELECT py_array_get_element(ARRAY[[1,2],[3,4]]::int[], ARRAY[1,2,3,4,5,6,7,8,9,10]);

-- Deep access

SELECT py_array_get_element(ARRAY[[[[[['deep']]]]]]::text[], ARRAY[0,0,0,0,0,0]);

SELECT py_array_get_element(ARRAY[[[[[['deep'],['deeper']]]]]]::text[], ARRAY[0,0,0,0,1,0]);

-- and a couple more errors

SELECT py_array_get_element(ARRAY[[[[[['deep']]]]]]::text[], ARRAY[0,0,0,0,0,1]);

SELECT py_array_get_element(ARRAY[[[[[['deep']]]]]]::text[], ARRAY[0,0,0,0,0]);

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