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pointcloud/pgsql/expected/pointcloud.out
Blottiere Paul 4b1568836b Prepare v1.2.5
2023-09-19 19:12:10 +02:00

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set client_min_messages to ERROR;
SET extra_float_digits = 0;
CREATE EXTENSION pointcloud;
SELECT PC_Version();
pc_version
------------
1.2.5
(1 row)
INSERT INTO pointcloud_formats (pcid, srid, schema)
VALUES (1, 0, -- XYZI, scaled, uncompressed
'<?xml version="1.0" encoding="UTF-8"?>
<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<pc:dimension>
<pc:position>1</pc:position>
<pc:size>4</pc:size>
<pc:description>X coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>X</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>2</pc:position>
<pc:size>4</pc:size>
<pc:description>Y coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>Y</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>3</pc:position>
<pc:size>4</pc:size>
<pc:description>Z coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>Z</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>4</pc:position>
<pc:size>2</pc:size>
<pc:description>The intensity value is the integer representation of the pulse return magnitude. This value is optional and system specific. However, it should always be included if available.</pc:description>
<pc:name>Intensity</pc:name>
<pc:interpretation>uint16_t</pc:interpretation>
<pc:scale>1</pc:scale>
</pc:dimension>
<pc:metadata>
<Metadata name="compression">none</Metadata>
<Metadata name="spatialreference" type="id">4326</Metadata>
</pc:metadata>
</pc:PointCloudSchema>'
),
(3, 0, -- XYZI, scaled, dimensionally compressed
'<?xml version="1.0" encoding="UTF-8"?>
<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<pc:dimension>
<pc:position>1</pc:position>
<pc:size>4</pc:size>
<pc:description>X coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>X</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>2</pc:position>
<pc:size>4</pc:size>
<pc:description>Y coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>Y</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>3</pc:position>
<pc:size>4</pc:size>
<pc:description>Z coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>Z</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>4</pc:position>
<pc:size>2</pc:size>
<pc:description>The intensity value is the integer representation of the pulse return magnitude. This value is optional and system specific. However, it should always be included if available.</pc:description>
<pc:name>Intensity</pc:name>
<pc:interpretation>uint16_t</pc:interpretation>
<pc:scale>1</pc:scale>
</pc:dimension>
<pc:metadata>
<Metadata name="compression">dimensional</Metadata>
<Metadata name="spatialreference" type="id">4326</Metadata>
</pc:metadata>
</pc:PointCloudSchema>'
)
,(4, 0, -- (I1,X,Y,Z,I2), scaled, uncompressed
'<?xml version="1.0" encoding="UTF-8"?>
<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<pc:dimension>
<pc:position>1</pc:position>
<pc:size>2</pc:size>
<pc:description>The intensity value is the integer representation of the pulse return magnitude. This value is optional and system specific. However, it should always be included if available.</pc:description>
<pc:name>I1</pc:name>
<pc:interpretation>uint16_t</pc:interpretation>
<pc:scale>1</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>2</pc:position>
<pc:size>4</pc:size>
<pc:description>X coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>X</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>3</pc:position>
<pc:size>4</pc:size>
<pc:description>Y coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>Y</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>4</pc:position>
<pc:size>4</pc:size>
<pc:description>Z coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
<pc:name>Z</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension>
<pc:position>5</pc:position>
<pc:size>2</pc:size>
<pc:description>The intensity value is the integer representation of the pulse return magnitude. This value is optional and system specific. However, it should always be included if available.</pc:description>
<pc:name>I2</pc:name>
<pc:interpretation>uint16_t</pc:interpretation>
<pc:scale>1</pc:scale>
</pc:dimension>
<pc:metadata>
<Metadata name="compression">none</Metadata>
<Metadata name="spatialreference" type="id">4326</Metadata>
</pc:metadata>
</pc:PointCloudSchema>'
)
,(10, 0, -- All (signed) interpretations, uncompressed
'<?xml version="1.0" encoding="UTF-8"?>
<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<pc:dimension> <pc:position>1</pc:position> <pc:name>x</pc:name>
<pc:size>1</pc:size> <pc:interpretation>int8_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>2</pc:position> <pc:name>y</pc:name>
<pc:size>2</pc:size> <pc:interpretation>int8_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>3</pc:position> <pc:name>i2</pc:name>
<pc:size>2</pc:size> <pc:interpretation>int16_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>4</pc:position> <pc:name>i4</pc:name>
<pc:size>4</pc:size> <pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>5</pc:position> <pc:name>i8</pc:name>
<pc:size>8</pc:size> <pc:interpretation>int64_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>6</pc:position> <pc:name>f4</pc:name>
<pc:size>4</pc:size> <pc:interpretation>float</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>7</pc:position> <pc:name>f8</pc:name>
<pc:size>8</pc:size> <pc:interpretation>double</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
</pc:PointCloudSchema>'
)
,(11, 0, -- All (signed) interpretations, dimensionally-compressed
'<?xml version="1.0" encoding="UTF-8"?>
<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<pc:dimension> <pc:position>1</pc:position> <pc:name>x</pc:name>
<pc:size>1</pc:size> <pc:interpretation>int8_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>2</pc:position> <pc:name>y</pc:name>
<pc:size>2</pc:size> <pc:interpretation>int8_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>3</pc:position> <pc:name>i2</pc:name>
<pc:size>2</pc:size> <pc:interpretation>int16_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>4</pc:position> <pc:name>i4</pc:name>
<pc:size>4</pc:size> <pc:interpretation>int32_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>5</pc:position> <pc:name>i8</pc:name>
<pc:size>8</pc:size> <pc:interpretation>int64_t</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>6</pc:position> <pc:name>f4</pc:name>
<pc:size>4</pc:size> <pc:interpretation>float</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:dimension> <pc:position>7</pc:position> <pc:name>f8</pc:name>
<pc:size>8</pc:size> <pc:interpretation>double</pc:interpretation>
<pc:scale>0.01</pc:scale>
</pc:dimension>
<pc:metadata>
<Metadata name="compression">dimensional</Metadata>
</pc:metadata>
</pc:PointCloudSchema>'
),
(20, 0, -- XYZ, unscaled, dimensionally compressed
'<?xml version="1.0" encoding="UTF-8"?>
<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<pc:dimension>
<pc:position>1</pc:position>
<pc:size>4</pc:size>
<pc:name>X</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
</pc:dimension>
<pc:dimension>
<pc:position>2</pc:position>
<pc:size>4</pc:size>
<pc:name>Y</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
</pc:dimension>
<pc:dimension>
<pc:position>3</pc:position>
<pc:size>4</pc:size>
<pc:name>Z</pc:name>
<pc:interpretation>int32_t</pc:interpretation>
</pc:dimension>
<pc:metadata>
<Metadata name="compression">dimensional</Metadata>
</pc:metadata>
</pc:PointCloudSchema>'
)
;
CREATE TABLE IF NOT EXISTS pt_test (
pt PCPOINT(1)
);
\d pt_test
Table "public.pt_test"
Column | Type | Collation | Nullable | Default
--------+------------+-----------+----------+---------
pt | pcpoint(1) | | |
DELETE FROM pt_test;
INSERT INTO pt_test (pt) VALUES ('00000000020000000100000002000000030004');
ERROR: no entry in "public.pointcloud_formats" for pcid = 2
LINE 1: INSERT INTO pt_test (pt) VALUES ('00000000020000000100000002...
^
INSERT INTO pt_test (pt) VALUES ('00000000010000000100000002000000030004');
INSERT INTO pt_test (pt) VALUES ('00000000010000000200000003000000030005');
INSERT INTO pt_test (pt) VALUES ('00000000010000000300000004000000030006');
SELECT PC_Get(pt, 'Intensity') FROM pt_test;
pc_get
--------
4
5
6
(3 rows)
SELECT Sum(PC_Get(pt, 'y')) FROM pt_test;
sum
------
0.09
(1 row)
SELECT PC_Get(pt) FROM pt_test;
pc_get
--------------------
{0.01,0.02,0.03,4}
{0.02,0.03,0.03,5}
{0.03,0.04,0.03,6}
(3 rows)
SELECT PC_AsText(pt) FROM pt_test;
pc_astext
------------------------------------
{"pcid":1,"pt":[0.01,0.02,0.03,4]}
{"pcid":1,"pt":[0.02,0.03,0.03,5]}
{"pcid":1,"pt":[0.03,0.04,0.03,6]}
(3 rows)
SELECT PC_AsText(PC_Patch(pt)) FROM pt_test;
pc_astext
-----------------------------------------------------------------------------
{"pcid":1,"pts":[[0.01,0.02,0.03,4],[0.02,0.03,0.03,5],[0.03,0.04,0.03,6]]}
(1 row)
SELECT PC_AsText(PC_Explode(PC_Patch(pt))) FROM pt_test;
pc_astext
------------------------------------
{"pcid":1,"pt":[0.01,0.02,0.03,4]}
{"pcid":1,"pt":[0.02,0.03,0.03,5]}
{"pcid":1,"pt":[0.03,0.04,0.03,6]}
(3 rows)
SELECT Sum(PC_MemSize(pt)) FROM pt_test;
sum
-----
75
(1 row)
CREATE TABLE IF NOT EXISTS pa_test (
pa PCPATCH(1)
);
\d pa_test
Table "public.pa_test"
Column | Type | Collation | Nullable | Default
--------+------------+-----------+----------+---------
pa | pcpatch(1) | | |
DELETE FROM pa_test;
INSERT INTO pa_test (pa) VALUES ('0000000002000000000000000200000002000000030000000500060000000200000003000000050008');
ERROR: no entry in "public.pointcloud_formats" for pcid = 2
LINE 1: INSERT INTO pa_test (pa) VALUES ('00000000020000000000000002...
^
INSERT INTO pa_test (pa) VALUES ('0000000001000000000000000200000002000000030000000500060000000200000003000000050008');
INSERT INTO pa_test (pa) VALUES ('000000000100000000000000020000000600000007000000050006000000090000000A00000005000A');
INSERT INTO pa_test (pa) VALUES ('000000000100000000000000020000000600000007000000050006000000090000000A00000005000A');
INSERT INTO pa_test (pa) VALUES ('000000000100000000000000020000000600000007000000050006000000090000000A00000005000A');
SELECT PC_Uncompress(pa) FROM pa_test LIMIT 1;
pc_uncompress
------------------------------------------------------------------------------------
0101000000000000000200000002000000030000000500000006000200000003000000050000000800
(1 row)
SELECT PC_AsText(pa) FROM pa_test;
pc_astext
----------------------------------------------------------
{"pcid":1,"pts":[[0.02,0.03,0.05,6],[0.02,0.03,0.05,8]]}
{"pcid":1,"pts":[[0.06,0.07,0.05,6],[0.09,0.1,0.05,10]]}
{"pcid":1,"pts":[[0.06,0.07,0.05,6],[0.09,0.1,0.05,10]]}
{"pcid":1,"pts":[[0.06,0.07,0.05,6],[0.09,0.1,0.05,10]]}
(4 rows)
SELECT PC_EnvelopeAsBinary(pa) from pa_test;
pc_envelopeasbinary
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
\x010300000001000000050000007b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f
\x01030000000100000005000000b81e85eb51b8ae3fec51b81e85ebb13fb81e85eb51b8ae3f9a9999999999b93f0ad7a3703d0ab73f9a9999999999b93f0ad7a3703d0ab73fec51b81e85ebb13fb81e85eb51b8ae3fec51b81e85ebb13f
\x01030000000100000005000000b81e85eb51b8ae3fec51b81e85ebb13fb81e85eb51b8ae3f9a9999999999b93f0ad7a3703d0ab73f9a9999999999b93f0ad7a3703d0ab73fec51b81e85ebb13fb81e85eb51b8ae3fec51b81e85ebb13f
\x01030000000100000005000000b81e85eb51b8ae3fec51b81e85ebb13fb81e85eb51b8ae3f9a9999999999b93f0ad7a3703d0ab73f9a9999999999b93f0ad7a3703d0ab73fec51b81e85ebb13fb81e85eb51b8ae3fec51b81e85ebb13f
(4 rows)
SELECT PC_Envelope(pa) from pa_test;
pc_envelope
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
\x010300000001000000050000007b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f7b14ae47e17a943fb81e85eb51b89e3f
\x01030000000100000005000000b81e85eb51b8ae3fec51b81e85ebb13fb81e85eb51b8ae3f9a9999999999b93f0ad7a3703d0ab73f9a9999999999b93f0ad7a3703d0ab73fec51b81e85ebb13fb81e85eb51b8ae3fec51b81e85ebb13f
\x01030000000100000005000000b81e85eb51b8ae3fec51b81e85ebb13fb81e85eb51b8ae3f9a9999999999b93f0ad7a3703d0ab73f9a9999999999b93f0ad7a3703d0ab73fec51b81e85ebb13fb81e85eb51b8ae3fec51b81e85ebb13f
\x01030000000100000005000000b81e85eb51b8ae3fec51b81e85ebb13fb81e85eb51b8ae3f9a9999999999b93f0ad7a3703d0ab73f9a9999999999b93f0ad7a3703d0ab73fec51b81e85ebb13fb81e85eb51b8ae3fec51b81e85ebb13f
(4 rows)
SELECT PC_AsText(PC_Union(pa)) FROM pa_test;
pc_astext
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
{"pcid":1,"pts":[[0.02,0.03,0.05,6],[0.02,0.03,0.05,8],[0.06,0.07,0.05,6],[0.09,0.1,0.05,10],[0.06,0.07,0.05,6],[0.09,0.1,0.05,10],[0.06,0.07,0.05,6],[0.09,0.1,0.05,10]]}
(1 row)
SELECT sum(PC_NumPoints(pa)) FROM pa_test;
sum
-----
8
(1 row)
SELECT PC_AsText(PC_Range(pa, 1, 1)) FROM pa_test;
pc_astext
---------------------------------------
{"pcid":1,"pts":[[0.02,0.03,0.05,6]]}
{"pcid":1,"pts":[[0.06,0.07,0.05,6]]}
{"pcid":1,"pts":[[0.06,0.07,0.05,6]]}
{"pcid":1,"pts":[[0.06,0.07,0.05,6]]}
(4 rows)
CREATE TABLE IF NOT EXISTS pa_test_dim (
pa PCPATCH(3)
);
\d pa_test_dim
Table "public.pa_test_dim"
Column | Type | Collation | Nullable | Default
--------+------------+-----------+----------+---------
pa | pcpatch(3) | | |
INSERT INTO pa_test_dim (pa) VALUES ('0000000003000000000000000200000002000000030000000500060000000200000003000000050008');
INSERT INTO pa_test_dim (pa) VALUES ('000000000300000000000000020000000600000007000000050006000000090000000A00000005000A');
INSERT INTO pa_test_dim (pa) VALUES ('0000000003000000000000000200000002000000030000000500060000000200000003000000050003');
INSERT INTO pa_test_dim (pa) VALUES ('0000000003000000000000000200000002000000030000000500060000000200000003000000050001');
SELECT Sum(PC_NumPoints(pa)) FROM pa_test_dim;
sum
-----
8
(1 row)
SELECT Sum(PC_MemSize(pa)) FROM pa_test_dim;
sum
-----
716
(1 row)
SELECT Sum(PC_PatchMax(pa,'x')) FROM pa_test_dim;
sum
------
0.15
(1 row)
SELECT Sum(PC_PatchMin(pa,'x')) FROM pa_test_dim;
sum
------
0.12
(1 row)
DELETE FROM pa_test_dim;
INSERT INTO pa_test_dim (pa)
SELECT PC_Patch(PC_MakePoint(3, ARRAY[x,y,z,intensity]))
FROM (
SELECT
-127+a/100.0 AS x,
45+a/100.0 AS y,
1.0*a AS z,
a/10 AS intensity,
a/400 AS gid
FROM generate_series(1,1600) AS a
) AS values GROUP BY gid;
SELECT Sum(PC_NumPoints(pa)) FROM pa_test_dim;
sum
------
1600
(1 row)
SELECT Sum(PC_MemSize(pa)) FROM pa_test_dim;
sum
------
8773
(1 row)
SELECT Max(PC_PatchMax(pa,'x')) FROM pa_test_dim;
max
------
-111
(1 row)
SELECT Min(PC_PatchMin(pa,'x')) FROM pa_test_dim;
min
---------
-126.99
(1 row)
SELECT Min(PC_PatchMin(pa,'z')) FROM pa_test_dim;
min
-----
1
(1 row)
-- https://github.com/pgpointcloud/pointcloud/issues/77
SELECT PC_Get(PC_PatchMax(pa)) FROM pa_test_dim order by 1 limit 1;
pc_get
------------------------
{-123.01,48.99,399,39}
(1 row)
SELECT PC_Get(PC_PatchMin(pa)) FROM pa_test_dim order by 1 limit 1;
pc_get
---------------------
{-126.99,45.01,1,0}
(1 row)
SELECT PC_Get(PC_PatchAvg(pa)) FROM pa_test_dim order by 1 limit 1;
pc_get
------------------
{-125,47,200,20}
(1 row)
SELECT PC_Summary(pa) summary FROM pa_test_dim order by 1 limit 1;
summary
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
{"pcid":3, "npts":1, "srid":0, "compr":"dimensional","dims":[{"pos":0,"name":"X","size":4,"type":"int32_t","compr":"zlib","stats":{"min":-111,"max":-111,"avg":-111}},{"pos":1,"name":"Y","size":4,"type":"int32_t","compr":"zlib","stats":{"min":61,"max":61,"avg":61}},{"pos":2,"name":"Z","size":4,"type":"int32_t","compr":"zlib","stats":{"min":1600,"max":1600,"avg":1600}},{"pos":3,"name":"Intensity","size":2,"type":"uint16_t","compr":"zlib","stats":{"min":160,"max":160,"avg":160}}]}
(1 row)
--DROP TABLE pts_collection;
DROP TABLE pt_test;
DROP TABLE pa_test;
DROP TABLE pa_test_dim;
-- See https://github.com/pgpointcloud/pointcloud/issues/44
SELECT PC_AsText(PC_Patch(ARRAY[PC_MakePoint(3, ARRAY[-127, 45, 124.0, 4.0])]::pcpoint[]));
pc_astext
------------------------------------
{"pcid":3,"pts":[[-127,45,124,4]]}
(1 row)
SELECT 'pc_id1', PC_PCId(PC_Patch(PC_MakePoint(3, ARRAY[-1,-2,-3,-4])));
?column? | pc_pcid
----------+---------
pc_id1 | 3
(1 row)
SELECT 'pc_id2', PC_PCId(PC_MakePoint(3, ARRAY[-1,-2,-3,-4]));
?column? | pc_pcid
----------+---------
pc_id2 | 3
(1 row)
-- Test PC_Compress
-- Also regression tests for
-- https://github.com/pgpointcloud/pointcloud/issues/69
WITH points AS (
SELECT ARRAY[
(2^08/256.0*v)*0.01, -- int8_t
-(2^08/256.0*v)*0.01, -- int8_t
(2^16/256.0*v)*0.01, -- int16_t
(2^32/256.0*v)*0.01, -- int32_t
(2^64/256.0*v)*0.01, -- int64_t
(2^32/256.0*v)*0.01, -- float
(2^64/256.0*v)*0.01 -- double
] a, v/16 v
FROM generate_series(-127,127,4) v
), p1 AS (
SELECT v, PC_Patch(PC_MakePoint(10, a)) p from points -- uncompressed
GROUP BY v
)
SELECT 'compr' test,
p1.v, compr, sc,
PC_AsText(p1.p) =
PC_AsText(PC_Compress(p1.p, compr,
array_to_string(
array_fill(sc,ARRAY[7]),
','
)
)) ok
FROM p1, ( values
('dimensional','rle'),
('dimensional','zlib'),
('dimensional','sigbits'),
('dimensional','auto')
) dimcompr(compr,sc)
ORDER BY compr,sc,v;
test | v | compr | sc | ok
-------+----+-------------+---------+----
compr | -7 | dimensional | auto | t
compr | -6 | dimensional | auto | t
compr | -5 | dimensional | auto | t
compr | -4 | dimensional | auto | t
compr | -3 | dimensional | auto | t
compr | -2 | dimensional | auto | t
compr | -1 | dimensional | auto | t
compr | 0 | dimensional | auto | t
compr | 1 | dimensional | auto | t
compr | 2 | dimensional | auto | t
compr | 3 | dimensional | auto | t
compr | 4 | dimensional | auto | t
compr | 5 | dimensional | auto | t
compr | 6 | dimensional | auto | t
compr | 7 | dimensional | auto | t
compr | -7 | dimensional | rle | t
compr | -6 | dimensional | rle | t
compr | -5 | dimensional | rle | t
compr | -4 | dimensional | rle | t
compr | -3 | dimensional | rle | t
compr | -2 | dimensional | rle | t
compr | -1 | dimensional | rle | t
compr | 0 | dimensional | rle | t
compr | 1 | dimensional | rle | t
compr | 2 | dimensional | rle | t
compr | 3 | dimensional | rle | t
compr | 4 | dimensional | rle | t
compr | 5 | dimensional | rle | t
compr | 6 | dimensional | rle | t
compr | 7 | dimensional | rle | t
compr | -7 | dimensional | sigbits | t
compr | -6 | dimensional | sigbits | t
compr | -5 | dimensional | sigbits | t
compr | -4 | dimensional | sigbits | t
compr | -3 | dimensional | sigbits | t
compr | -2 | dimensional | sigbits | t
compr | -1 | dimensional | sigbits | t
compr | 0 | dimensional | sigbits | t
compr | 1 | dimensional | sigbits | t
compr | 2 | dimensional | sigbits | t
compr | 3 | dimensional | sigbits | t
compr | 4 | dimensional | sigbits | t
compr | 5 | dimensional | sigbits | t
compr | 6 | dimensional | sigbits | t
compr | 7 | dimensional | sigbits | t
compr | -7 | dimensional | zlib | t
compr | -6 | dimensional | zlib | t
compr | -5 | dimensional | zlib | t
compr | -4 | dimensional | zlib | t
compr | -3 | dimensional | zlib | t
compr | -2 | dimensional | zlib | t
compr | -1 | dimensional | zlib | t
compr | 0 | dimensional | zlib | t
compr | 1 | dimensional | zlib | t
compr | 2 | dimensional | zlib | t
compr | 3 | dimensional | zlib | t
compr | 4 | dimensional | zlib | t
compr | 5 | dimensional | zlib | t
compr | 6 | dimensional | zlib | t
compr | 7 | dimensional | zlib | t
(60 rows)
SELECT PC_Summary(PC_Compress(PC_Patch(PC_MakePoint(10,ARRAY[1,1,1,1,1,1,1])),
'dimensional'))::json->'compr';
?column?
---------------
"dimensional"
(1 row)
-- https://github.com/pgpointcloud/pointcloud/issues/79
SELECT '#79' issue,
PC_PatchMin(p,'x') x_min, PC_PatchMax(p,'x') x_max,
PC_PatchMin(p,'y') y_min, PC_PatchMax(p,'y') y_max,
PC_PatchMin(p,'z') z_min, PC_PatchMax(p,'z') z_max
FROM ( SELECT
PC_FilterEquals(
PC_Patch( PC_MakePoint(20,ARRAY[-1,0,1]) ),
'y',0) p
) foo;
issue | x_min | x_max | y_min | y_max | z_min | z_max
-------+-------+-------+-------+-------+-------+-------
#79 | -1 | -1 | 0 | 0 | 1 | 1
(1 row)
-- https://github.com/pgpointcloud/pointcloud/issues/78
SELECT '#78' issue,
PC_PatchMin(p,'x') x_min, PC_PatchMax(p,'x') x_max,
PC_PatchMin(p,'y') y_min, PC_PatchMax(p,'y') y_max,
PC_PatchMin(p,'z') z_min, PC_PatchMax(p,'z') z_max,
PC_PatchMin(p,'intensity') i_min, PC_PatchMax(p,'intensity') i_max
FROM ( SELECT
PC_FilterEquals(
PC_Patch( PC_MakePoint(3,ARRAY[-1,0,4862413,1]) ),
'y',0) p
) foo;
issue | x_min | x_max | y_min | y_max | z_min | z_max | i_min | i_max
-------+-------+-------+-------+-------+---------+---------+-------+-------
#78 | -1 | -1 | 0 | 0 | 4862413 | 4862413 | 1 | 1
(1 row)
-- test for PC_BoundingDiagonalAsBinary
SELECT PC_BoundingDiagonalAsBinary(
PC_Patch(ARRAY[
PC_MakePoint(1, ARRAY[0.,0.,0.,10.]),
PC_MakePoint(1, ARRAY[1.,1.,1.,10.]),
PC_MakePoint(1, ARRAY[10.,10.,10.,10.])]));
pc_boundingdiagonalasbinary
----------------------------------------------------------------------------------------------------------------------
\x010200008002000000000000000000000000000000000000000000000000000000000000000000244000000000000024400000000000002440
(1 row)
-- test PC_SetPCId
-- from pcid 1 to 1 (same dimensions, same positions, same compressions)
-- pcid 1: (X,Y,Z,I), scaled, uncompressed
SELECT
PC_AsText(PC_SetPCId(p, 1)) t, PC_Summary(PC_SetPCId(p, 1))::json->'compr' c
FROM ( SELECT PC_Patch(PC_MakePoint(1, ARRAY[-1,0,4862413,1])) p ) foo;
t | c
-----------------------------------------+--------
{"pcid":1,"pts":[[-1,0,4.86241e+06,1]]} | "none"
(1 row)
-- test PC_SetPCId
-- from pcid 1 to 3 (same dimensions, same positions, different compressions)
-- pcid 1: (X,Y,Z,I), scaled, uncompressed
-- pcid 3: (X,Y,Z,I), scaled, dimensionally compressed
SELECT
PC_AsText(PC_SetPCId(p, 3)) t, PC_Summary(PC_SetPCId(p, 3))::json->'compr' c
FROM ( SELECT PC_Patch(PC_MakePoint(1, ARRAY[-1,0,4862413,1])) p ) foo;
t | c
-----------------------------------------+---------------
{"pcid":3,"pts":[[-1,0,4.86241e+06,1]]} | "dimensional"
(1 row)
-- test PC_SetPCId
-- from pcid 1 to 4 (different dimensions, different positions, same compressions)
-- pcid 1: (X,Y,Z,I), scaled, uncompressed
-- pcid 2: (I1,X,Y,Z,I2), scaled, uncompressed
SELECT
PC_AsText(PC_SetPCId(p, 4, 2.0)) t, PC_Summary(PC_SetPCId(p, 4, 2.0))::json->'compr' c
FROM ( SELECT PC_Patch(PC_MakePoint(1, ARRAY[-1,0,4862413,1])) p ) foo;
t | c
-------------------------------------------+--------
{"pcid":4,"pts":[[2,-1,0,4.86241e+06,2]]} | "none"
(1 row)
-- test PC_SetPCId
-- from pcid 1 to 10 (incompatible dimensions because of different interpretations)
-- pcid 1: (X,Y,Z,I), scaled, uncompressed
-- pcid 10: (X,Y,Z), unscaled, dimensionally compressed
SELECT
PC_AsText(PC_SetPCId(p, 10)) t, PC_Summary(PC_SetPCId(p, 10))::json->'compr' c
FROM ( SELECT PC_Patch(PC_MakePoint(1, ARRAY[-1,0,4862413,1])) p ) foo;
ERROR: dimension interpretations are not matching
-- test PC_Transform
SELECT
PC_AsText(PC_Transform(p, 10, 1.0)) t, PC_Summary(PC_Transform(p, 10, 1.0))::json->'compr' c
FROM ( SELECT PC_Patch(PC_MakePoint(1, ARRAY[-1,0,4862413,1])) p ) foo;
t | c
--------------------------------------+--------
{"pcid":10,"pts":[[-1,0,1,1,1,1,1]]} | "none"
(1 row)
-- test PC_Patch from float8 array
SELECT pc_astext(PC_MakePatch(1, ARRAY[-1,0,5,1, -1,0,6,1, -1,0,7,1]));
pc_astext
-----------------------------------------------------
{"pcid":1,"pts":[[-1,0,5,1],[-1,0,6,1],[-1,0,7,1]]}
(1 row)
TRUNCATE pointcloud_formats;
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