Refactor and new tests
This commit is contained in:
Javier Goizueta
parent
89cda152bd
commit
e1951e1ea9
3
TODO.md
3
TODO.md
@ -2,7 +2,8 @@
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* [x] Support versioning
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* [x] Test use of `plpy` from python Package
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* Add `pysal` etc. dependencies
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* [x] Add `pysal` etc. dependencies
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* Defin documentation practices (general, per extension/package?)
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* Add initial function set
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* Add integration tests
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* Make target to open a new version development (create symlinks, etc.)
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2
pg/.gitignore
vendored
2
pg/.gitignore
vendored
@ -1,3 +1,3 @@
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regression.diffs
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regression.out
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test/results
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results/
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8
pg/sql/0.0.1/01_random_seeds.sql
Normal file
8
pg/sql/0.0.1/01_random_seeds.sql
Normal file
@ -0,0 +1,8 @@
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-- Set the seeds of the RNGs (Random Number Generators)
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-- used internally.
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CREATE OR REPLACE FUNCTION
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cdb_random_seeds (seed_value INTEGER) RETURNS VOID
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AS $$
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from crankshaft import random_seeds
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random_seeds.set_random_seeds(seed_value)
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$$ LANGUAGE plpythonu;
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18
pg/sql/0.0.1/02_moran.sql
Normal file
18
pg/sql/0.0.1/02_moran.sql
Normal file
@ -0,0 +1,18 @@
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CREATE OR REPLACE FUNCTION
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cdb_moran_local (
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t TEXT,
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attr TEXT,
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significance float DEFAULT 0.05,
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num_ngbrs INT DEFAULT 5,
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permutations INT DEFAULT 99,
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geom_column TEXT DEFAULT 'the_geom',
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id_col TEXT DEFAULT 'cartodb_id',
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w_type TEXT DEFAULT 'knn',
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random_seed INTEGER DEFAULT NULL
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)
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RETURNS TABLE (moran FLOAT, quads TEXT, significance FLOAT, ids INT)
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AS $$
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from crankshaft.clustering import moran_local
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# TODO: use named parameters or a dictionary
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return moran_local(t, attr, significance, num_ngbrs, permutations, geom_column, id_col, w_type, random_seed)
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$$ LANGUAGE plpythonu;
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20
pg/sql/0.0.1/03_overlap_sum.sql
Normal file
20
pg/sql/0.0.1/03_overlap_sum.sql
Normal file
@ -0,0 +1,20 @@
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-- Function by Stuart Lynn for a simple interpolation of a value
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-- from a polygon table over an arbitrary polygon
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-- (weighted by the area proportion overlapped)
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CREATE OR REPLACE
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FUNCTION cdb_overlap_sum(geom geometry, target_table_name text, target_column text)
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RETURNS numeric AS
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$$
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DECLARE
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result numeric;
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BEGIN
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EXECUTE Format('
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SELECT sum(%I*ST_Area(St_Intersection($1, a.the_geom))/ST_Area(a.the_geom))
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FROM %I AS a
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WHERE $1 && a.the_geom
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', target_column, target_table_name)
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USING geom
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INTO result;
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RETURN result;
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END;
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$$ LANGUAGE plpgsql;
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@ -1,22 +0,0 @@
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CREATE OR REPLACE FUNCTION
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cdb_moran_local (
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t TEXT,
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attr TEXT,
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significance float DEFAULT 0.05,
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num_ngbrs INT DEFAULT 5,
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permutations INT DEFAULT 99,
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geom_column TEXT DEFAULT 'the_geom',
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id_col TEXT DEFAULT 'cartodb_id',
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w_type TEXT DEFAULT 'knn'
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)
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RETURNS TABLE (
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moran FLOAT,
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quads TEXT,
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significance FLOAT,
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ids INT
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)
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AS $$
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from crankshaft.clustering import moran_local
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# TODO: use named parameters or a dictionary
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return moran_local(t, attr, significance, num_ngbrs, permutations, geom_column, id_col, w_type)
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$$ LANGUAGE plpythonu;
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@ -1,5 +0,0 @@
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CREATE OR REPLACE FUNCTION cdb_poc_xyz()
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RETURNS Text AS $$
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from crankshaft.poc import xyz
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return xyz()
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$$ LANGUAGE plpythonu;
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132
pg/test/0.0.1/expected/02_moran_test.out
Normal file
132
pg/test/0.0.1/expected/02_moran_test.out
Normal file
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\i test/fixtures/ppoints.sql
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-- test table (spanish province centroids with some invented values)
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CREATE TABLE ppoints (cartodb_id integer, the_geom geometry, the_geom_webmercator geometry, code text, region_code text, value float);
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INSERT INTO ppoints VALUES
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( 1,'0101000020E6100000A8306DC0CBC305C051D14B6CE56A4540'::geometry,ST_Transform('0101000020E6100000A8306DC0CBC305C051D14B6CE56A4540'::geometry, 3857),'01','16',0.5),
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( 4,'0101000020E6100000E220A4362DC202C0FD8AFA5119994240'::geometry,ST_Transform('0101000020E6100000E220A4362DC202C0FD8AFA5119994240'::geometry, 3857),'04','01',0.1),
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( 5,'0101000020E610000004377E573AC813C0CB5871BB17494440'::geometry,ST_Transform('0101000020E610000004377E573AC813C0CB5871BB17494440'::geometry, 3857),'05','07',0.3),
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( 2,'0101000020E610000000F49BE19BAFFFBF639958FDA6694340'::geometry,ST_Transform('0101000020E610000000F49BE19BAFFFBF639958FDA6694340'::geometry, 3857),'02','08',0.7),
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( 3,'0101000020E61000005D0B7E63C832E2BFDB63EB00443D4340'::geometry,ST_Transform('0101000020E61000005D0B7E63C832E2BFDB63EB00443D4340'::geometry, 3857),'03','10',0.2),
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( 6,'0101000020E61000006F3742B7FB9018C0DD967DC4D95A4340'::geometry,ST_Transform('0101000020E61000006F3742B7FB9018C0DD967DC4D95A4340'::geometry, 3857),'06','11',0.05),
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( 7,'0101000020E6100000E4BB36995F4C0740EAC0E5CA9FC94340'::geometry,ST_Transform('0101000020E6100000E4BB36995F4C0740EAC0E5CA9FC94340'::geometry, 3857),'07','04',0.4),
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( 8,'0101000020E61000003D43CC6CAFBEFF3F6B52E66F91DD4440'::geometry,ST_Transform('0101000020E61000003D43CC6CAFBEFF3F6B52E66F91DD4440'::geometry, 3857),'08','09',0.7),
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( 9,'0101000020E61000003CC797BD99AF0CC0495A87FA312F4540'::geometry,ST_Transform('0101000020E61000003CC797BD99AF0CC0495A87FA312F4540'::geometry, 3857),'09','07',0.5),
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(13,'0101000020E61000001CAA00A9F19F0EC05DF9267B7A764340'::geometry,ST_Transform('0101000020E61000001CAA00A9F19F0EC05DF9267B7A764340'::geometry, 3857),'13','08',0.4),
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(16,'0101000020E6100000D8208F3CBC9001C065638DC1B1F24340'::geometry,ST_Transform('0101000020E6100000D8208F3CBC9001C065638DC1B1F24340'::geometry, 3857),'16','08',0.4),
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(17,'0101000020E6100000E9E6A94A71630540AD7A0CB062104540'::geometry,ST_Transform('0101000020E6100000E9E6A94A71630540AD7A0CB062104540'::geometry, 3857),'17','09',0.6),
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(18,'0101000020E6100000719792D59E240AC098AC548E00A84240'::geometry,ST_Transform('0101000020E6100000719792D59E240AC098AC548E00A84240'::geometry, 3857),'18','01',0.3),
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(19,'0101000020E6100000972C878B50FD04C0123C881D1F684440'::geometry,ST_Transform('0101000020E6100000972C878B50FD04C0123C881D1F684440'::geometry, 3857),'19','08',0.7),
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(21,'0101000020E6100000F7893E9934511BC0EAA4BF03E1C94240'::geometry,ST_Transform('0101000020E6100000F7893E9934511BC0EAA4BF03E1C94240'::geometry, 3857),'21','01',0.1),
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(22,'0101000020E6100000572C2123B2A8B2BF7ED7FABAFD194540'::geometry,ST_Transform('0101000020E6100000572C2123B2A8B2BF7ED7FABAFD194540'::geometry, 3857),'22','02',0.4),
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(25,'0101000020E6100000461B67D688C4F03FD990EEC3A0054540'::geometry,ST_Transform('0101000020E6100000461B67D688C4F03FD990EEC3A0054540'::geometry, 3857),'25','09',0.4),
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(26,'0101000020E6100000A139FB06E82204C0539D84F62E234540'::geometry,ST_Transform('0101000020E6100000A139FB06E82204C0539D84F62E234540'::geometry, 3857),'26','17',0.6),
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(27,'0101000020E6100000A92E54E618C91DC00D3A947B81814540'::geometry,ST_Transform('0101000020E6100000A92E54E618C91DC00D3A947B81814540'::geometry, 3857),'27','12',0.3),
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(28,'0101000020E6100000971DC8B682BC0DC016D0E8055F3F4440'::geometry,ST_Transform('0101000020E6100000971DC8B682BC0DC016D0E8055F3F4440'::geometry, 3857),'28','13',0.8),
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(30,'0101000020E6100000A2DC1964A8C5F7BF19299C994D004340'::geometry,ST_Transform('0101000020E6100000A2DC1964A8C5F7BF19299C994D004340'::geometry, 3857),'30','14',0.1),
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(31,'0101000020E6100000DCA1FCC87B56FABF9B88E9D866554540'::geometry,ST_Transform('0101000020E6100000DCA1FCC87B56FABF9B88E9D866554540'::geometry, 3857),'31','15',0.9),
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(32,'0101000020E6100000E1517AFCD15E1EC0A18D8D4825194540'::geometry,ST_Transform('0101000020E6100000E1517AFCD15E1EC0A18D8D4825194540'::geometry, 3857),'32','12',0.3),
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(33,'0101000020E6100000A7FF33825AF917C0FABE7DFB6BA54540'::geometry,ST_Transform('0101000020E6100000A7FF33825AF917C0FABE7DFB6BA54540'::geometry, 3857),'33','03',0.4),
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(34,'0101000020E6100000FB4E4EBEB72412C0898E7240982F4540'::geometry,ST_Transform('0101000020E6100000FB4E4EBEB72412C0898E7240982F4540'::geometry, 3857),'34','07',0.3),
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(35,'0101000020E6100000224682B01B1A2DC011091656CC5C3C40'::geometry,ST_Transform('0101000020E6100000224682B01B1A2DC011091656CC5C3C40'::geometry, 3857),'35','05',0.3),
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(36,'0101000020E6100000F7C9447110EC20C04C5D4823C7374540'::geometry,ST_Transform('0101000020E6100000F7C9447110EC20C04C5D4823C7374540'::geometry, 3857),'36','12',0.2),
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(37,'0101000020E610000053D6A26DFB4218C09D58FAE209674440'::geometry,ST_Transform('0101000020E610000053D6A26DFB4218C09D58FAE209674440'::geometry, 3857),'37','07',0.5),
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(38,'0101000020E6100000B1D1B5FC910431C03C0C89BA03503C40'::geometry,ST_Transform('0101000020E6100000B1D1B5FC910431C03C0C89BA03503C40'::geometry, 3857),'38','05',0.4),
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(39,'0101000020E610000086E6FEE1BD1E10C00417096748994540'::geometry,ST_Transform('0101000020E610000086E6FEE1BD1E10C00417096748994540'::geometry, 3857),'39','06',0.6),
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(40,'0101000020E6100000FB51C33F733710C038D01729E4954440'::geometry,ST_Transform('0101000020E6100000FB51C33F733710C038D01729E4954440'::geometry, 3857),'40','07',0.5),
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(41,'0101000020E6100000912D6FDA28BB16C031321F08C4B74240'::geometry,ST_Transform('0101000020E6100000912D6FDA28BB16C031321F08C4B74240'::geometry, 3857),'41','01',0.4),
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(42,'0101000020E6100000554432EABEB504C069ECD78775CF4440'::geometry,ST_Transform('0101000020E6100000554432EABEB504C069ECD78775CF4440'::geometry, 3857),'42','07',0.2),
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(43,'0101000020E6100000157F117C1A2EEA3F027CD1F2368B4440'::geometry,ST_Transform('0101000020E6100000157F117C1A2EEA3F027CD1F2368B4440'::geometry, 3857),'43','09',0.3),
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(44,'0101000020E610000051AA5B1BD718EABFEE67613BA4544440'::geometry,ST_Transform('0101000020E610000051AA5B1BD718EABFEE67613BA4544440'::geometry, 3857),'44','02',0.2),
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(45,'0101000020E610000022C5C01BB69710C08563BC1499E54340'::geometry,ST_Transform('0101000020E610000022C5C01BB69710C08563BC1499E54340'::geometry, 3857),'45','08',0.3),
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(46,'0101000020E6100000D5FCF78A11A0E9BFDEA46F8E64AF4340'::geometry,ST_Transform('0101000020E6100000D5FCF78A11A0E9BFDEA46F8E64AF4340'::geometry, 3857),'46','10',0.2),
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(47,'0101000020E61000003AE63525866313C02100050B2BD14440'::geometry,ST_Transform('0101000020E61000003AE63525866313C02100050B2BD14440'::geometry, 3857),'47','07',0.3),
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(48,'0101000020E610000030F187FD1FD206C0C767E1496C9E4540'::geometry,ST_Transform('0101000020E610000030F187FD1FD206C0C767E1496C9E4540'::geometry, 3857),'48','16',0.5),
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(49,'0101000020E61000009C22867B12EC17C006C5F40C14DD4440'::geometry,ST_Transform('0101000020E61000009C22867B12EC17C006C5F40C14DD4440'::geometry, 3857),'49','07',0.2),
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(50,'0101000020E6100000F7D5EFC62D08F1BF69D1231D68CF4440'::geometry,ST_Transform('0101000020E6100000F7D5EFC62D08F1BF69D1231D68CF4440'::geometry, 3857),'50','02',0.6),
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(51,'0101000020E61000005B0E1F8DAA5F15C0530BFE285BF24140'::geometry,ST_Transform('0101000020E61000005B0E1F8DAA5F15C0530BFE285BF24140'::geometry, 3857),'51','18',0.01),
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(10,'0101000020E61000000FD65D82AEA418C06192D1351FDB4340'::geometry,ST_Transform('0101000020E61000000FD65D82AEA418C06192D1351FDB4340'::geometry, 3857),'10','11',0.04),
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(11,'0101000020E6100000B305531DAB0A17C0DEAFCD4EE5464240'::geometry,ST_Transform('0101000020E6100000B305531DAB0A17C0DEAFCD4EE5464240'::geometry, 3857),'11','01',0.08),
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(12,'0101000020E610000059721A7297C9C2BF9EBE383BE51E4440'::geometry,ST_Transform('0101000020E610000059721A7297C9C2BF9EBE383BE51E4440'::geometry, 3857),'12','10',0.2),
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(14,'0101000020E610000000C86313AF3C13C0E530879C10FF4240'::geometry,ST_Transform('0101000020E610000000C86313AF3C13C0E530879C10FF4240'::geometry, 3857),'14','01',0.2),
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(15,'0101000020E61000002A475497B6ED20C06643D4131A904540'::geometry,ST_Transform('0101000020E61000002A475497B6ED20C06643D4131A904540'::geometry, 3857),'15','12',0.3),
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(20,'0101000020E6100000F975566FAD8D01C0E840C33F67924540'::geometry,ST_Transform('0101000020E6100000F975566FAD8D01C0E840C33F67924540'::geometry, 3857),'20','16',0.8),
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(23,'0101000020E610000025FA13E595880BC022BB07131D024340'::geometry,ST_Transform('0101000020E610000025FA13E595880BC022BB07131D024340'::geometry, 3857),'23','01',0.1),
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(24,'0101000020E61000009C5F91C5095C17C0C78784B15A4F4540'::geometry,ST_Transform('0101000020E61000009C5F91C5095C17C0C78784B15A4F4540'::geometry, 3857),'24','07',0.3),
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(29,'0101000020E6100000C34D4A5B48E712C092E680892C684240'::geometry,ST_Transform('0101000020E6100000C34D4A5B48E712C092E680892C684240'::geometry, 3857),'29','01',0.3),
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(52,'0101000020E6100000406A545EB29A07C04E5F0BDA39A54140'::geometry,ST_Transform('0101000020E6100000406A545EB29A07C04E5F0BDA39A54140'::geometry, 3857),'52','19',0.01)
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-- Moral functions perform some nondeterministic computations
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-- (to estimate the significance); we will set the seeds for the RNGs
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-- that affect those results to have repeateble results
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SELECT cdb_crankshaft.cdb_random_seeds(1234);
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cdb_random_seeds
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------------------
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(1 row)
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SELECT ppoints.code, m.quads
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FROM ppoints
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JOIN cdb_crankshaft.cdb_moran_local('ppoints', 'value') m
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ON ppoints.cartodb_id = m.ids
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ORDER BY ppoints.code;
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NOTICE: ** Constructing query
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CONTEXT: PL/Python function "cdb_moran_local"
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NOTICE: ** Query returned with 52 rows
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CONTEXT: PL/Python function "cdb_moran_local"
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NOTICE: ** Finished calculations
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CONTEXT: PL/Python function "cdb_moran_local"
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code | quads
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------+-----------------
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01 | HH
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02 | HL
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03 | Not significant
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04 | Not significant
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05 | Not significant
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06 | Not significant
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07 | Not significant
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08 | Not significant
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09 | Not significant
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10 | Not significant
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11 | LL
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12 | Not significant
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13 | Not significant
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14 | Not significant
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15 | Not significant
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16 | HH
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17 | Not significant
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18 | Not significant
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19 | Not significant
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20 | HH
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21 | LL
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22 | Not significant
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23 | Not significant
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24 | Not significant
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25 | HH
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26 | HH
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27 | Not significant
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28 | Not significant
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29 | LL
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30 | Not significant
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31 | HH
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32 | Not significant
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33 | Not significant
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34 | Not significant
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35 | LL
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36 | Not significant
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37 | Not significant
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38 | HL
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39 | Not significant
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40 | Not significant
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41 | HL
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42 | LH
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43 | Not significant
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44 | Not significant
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45 | LH
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46 | Not significant
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47 | Not significant
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48 | HH
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49 | Not significant
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50 | Not significant
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51 | LL
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52 | LL
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(52 rows)
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@ -1,8 +0,0 @@
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SELECT cdb_crankshaft.cdb_poc_xyz();
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NOTICE: XYZ...
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CONTEXT: PL/Python function "cdb_poc_xyz"
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cdb_poc_xyz
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-------------
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83
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(1 row)
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@ -1,8 +0,0 @@
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SELECT cdb_crankshaft.cdb_poc_xyz();
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NOTICE: XYZ...
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CONTEXT: PL/Python function "cdb_poc_xyz"
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cdb_poc_xyz
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-------------
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83
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(1 row)
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12
pg/test/0.0.1/sql/02_moran_test.sql
Normal file
12
pg/test/0.0.1/sql/02_moran_test.sql
Normal file
@ -0,0 +1,12 @@
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\i test/fixtures/ppoints.sql
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-- Moral functions perform some nondeterministic computations
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-- (to estimate the significance); we will set the seeds for the RNGs
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-- that affect those results to have repeateble results
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SELECT cdb_crankshaft.cdb_random_seeds(1234);
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SELECT ppoints.code, m.quads
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FROM ppoints
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JOIN cdb_crankshaft.cdb_moran_local('ppoints', 'value') m
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ON ppoints.cartodb_id = m.ids
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||||
ORDER BY ppoints.code;
|
||||
@ -1 +0,0 @@
|
||||
SELECT cdb_crankshaft.cdb_poc_xyz();
|
||||
55
pg/test/fixtures/ppoints.sql
vendored
Normal file
55
pg/test/fixtures/ppoints.sql
vendored
Normal file
@ -0,0 +1,55 @@
|
||||
-- test table (spanish province centroids with some invented values)
|
||||
CREATE TABLE ppoints (cartodb_id integer, the_geom geometry, the_geom_webmercator geometry, code text, region_code text, value float);
|
||||
INSERT INTO ppoints VALUES
|
||||
( 1,'0101000020E6100000A8306DC0CBC305C051D14B6CE56A4540'::geometry,ST_Transform('0101000020E6100000A8306DC0CBC305C051D14B6CE56A4540'::geometry, 3857),'01','16',0.5),
|
||||
( 4,'0101000020E6100000E220A4362DC202C0FD8AFA5119994240'::geometry,ST_Transform('0101000020E6100000E220A4362DC202C0FD8AFA5119994240'::geometry, 3857),'04','01',0.1),
|
||||
( 5,'0101000020E610000004377E573AC813C0CB5871BB17494440'::geometry,ST_Transform('0101000020E610000004377E573AC813C0CB5871BB17494440'::geometry, 3857),'05','07',0.3),
|
||||
( 2,'0101000020E610000000F49BE19BAFFFBF639958FDA6694340'::geometry,ST_Transform('0101000020E610000000F49BE19BAFFFBF639958FDA6694340'::geometry, 3857),'02','08',0.7),
|
||||
( 3,'0101000020E61000005D0B7E63C832E2BFDB63EB00443D4340'::geometry,ST_Transform('0101000020E61000005D0B7E63C832E2BFDB63EB00443D4340'::geometry, 3857),'03','10',0.2),
|
||||
( 6,'0101000020E61000006F3742B7FB9018C0DD967DC4D95A4340'::geometry,ST_Transform('0101000020E61000006F3742B7FB9018C0DD967DC4D95A4340'::geometry, 3857),'06','11',0.05),
|
||||
( 7,'0101000020E6100000E4BB36995F4C0740EAC0E5CA9FC94340'::geometry,ST_Transform('0101000020E6100000E4BB36995F4C0740EAC0E5CA9FC94340'::geometry, 3857),'07','04',0.4),
|
||||
( 8,'0101000020E61000003D43CC6CAFBEFF3F6B52E66F91DD4440'::geometry,ST_Transform('0101000020E61000003D43CC6CAFBEFF3F6B52E66F91DD4440'::geometry, 3857),'08','09',0.7),
|
||||
( 9,'0101000020E61000003CC797BD99AF0CC0495A87FA312F4540'::geometry,ST_Transform('0101000020E61000003CC797BD99AF0CC0495A87FA312F4540'::geometry, 3857),'09','07',0.5),
|
||||
(13,'0101000020E61000001CAA00A9F19F0EC05DF9267B7A764340'::geometry,ST_Transform('0101000020E61000001CAA00A9F19F0EC05DF9267B7A764340'::geometry, 3857),'13','08',0.4),
|
||||
(16,'0101000020E6100000D8208F3CBC9001C065638DC1B1F24340'::geometry,ST_Transform('0101000020E6100000D8208F3CBC9001C065638DC1B1F24340'::geometry, 3857),'16','08',0.4),
|
||||
(17,'0101000020E6100000E9E6A94A71630540AD7A0CB062104540'::geometry,ST_Transform('0101000020E6100000E9E6A94A71630540AD7A0CB062104540'::geometry, 3857),'17','09',0.6),
|
||||
(18,'0101000020E6100000719792D59E240AC098AC548E00A84240'::geometry,ST_Transform('0101000020E6100000719792D59E240AC098AC548E00A84240'::geometry, 3857),'18','01',0.3),
|
||||
(19,'0101000020E6100000972C878B50FD04C0123C881D1F684440'::geometry,ST_Transform('0101000020E6100000972C878B50FD04C0123C881D1F684440'::geometry, 3857),'19','08',0.7),
|
||||
(21,'0101000020E6100000F7893E9934511BC0EAA4BF03E1C94240'::geometry,ST_Transform('0101000020E6100000F7893E9934511BC0EAA4BF03E1C94240'::geometry, 3857),'21','01',0.1),
|
||||
(22,'0101000020E6100000572C2123B2A8B2BF7ED7FABAFD194540'::geometry,ST_Transform('0101000020E6100000572C2123B2A8B2BF7ED7FABAFD194540'::geometry, 3857),'22','02',0.4),
|
||||
(25,'0101000020E6100000461B67D688C4F03FD990EEC3A0054540'::geometry,ST_Transform('0101000020E6100000461B67D688C4F03FD990EEC3A0054540'::geometry, 3857),'25','09',0.4),
|
||||
(26,'0101000020E6100000A139FB06E82204C0539D84F62E234540'::geometry,ST_Transform('0101000020E6100000A139FB06E82204C0539D84F62E234540'::geometry, 3857),'26','17',0.6),
|
||||
(27,'0101000020E6100000A92E54E618C91DC00D3A947B81814540'::geometry,ST_Transform('0101000020E6100000A92E54E618C91DC00D3A947B81814540'::geometry, 3857),'27','12',0.3),
|
||||
(28,'0101000020E6100000971DC8B682BC0DC016D0E8055F3F4440'::geometry,ST_Transform('0101000020E6100000971DC8B682BC0DC016D0E8055F3F4440'::geometry, 3857),'28','13',0.8),
|
||||
(30,'0101000020E6100000A2DC1964A8C5F7BF19299C994D004340'::geometry,ST_Transform('0101000020E6100000A2DC1964A8C5F7BF19299C994D004340'::geometry, 3857),'30','14',0.1),
|
||||
(31,'0101000020E6100000DCA1FCC87B56FABF9B88E9D866554540'::geometry,ST_Transform('0101000020E6100000DCA1FCC87B56FABF9B88E9D866554540'::geometry, 3857),'31','15',0.9),
|
||||
(32,'0101000020E6100000E1517AFCD15E1EC0A18D8D4825194540'::geometry,ST_Transform('0101000020E6100000E1517AFCD15E1EC0A18D8D4825194540'::geometry, 3857),'32','12',0.3),
|
||||
(33,'0101000020E6100000A7FF33825AF917C0FABE7DFB6BA54540'::geometry,ST_Transform('0101000020E6100000A7FF33825AF917C0FABE7DFB6BA54540'::geometry, 3857),'33','03',0.4),
|
||||
(34,'0101000020E6100000FB4E4EBEB72412C0898E7240982F4540'::geometry,ST_Transform('0101000020E6100000FB4E4EBEB72412C0898E7240982F4540'::geometry, 3857),'34','07',0.3),
|
||||
(35,'0101000020E6100000224682B01B1A2DC011091656CC5C3C40'::geometry,ST_Transform('0101000020E6100000224682B01B1A2DC011091656CC5C3C40'::geometry, 3857),'35','05',0.3),
|
||||
(36,'0101000020E6100000F7C9447110EC20C04C5D4823C7374540'::geometry,ST_Transform('0101000020E6100000F7C9447110EC20C04C5D4823C7374540'::geometry, 3857),'36','12',0.2),
|
||||
(37,'0101000020E610000053D6A26DFB4218C09D58FAE209674440'::geometry,ST_Transform('0101000020E610000053D6A26DFB4218C09D58FAE209674440'::geometry, 3857),'37','07',0.5),
|
||||
(38,'0101000020E6100000B1D1B5FC910431C03C0C89BA03503C40'::geometry,ST_Transform('0101000020E6100000B1D1B5FC910431C03C0C89BA03503C40'::geometry, 3857),'38','05',0.4),
|
||||
(39,'0101000020E610000086E6FEE1BD1E10C00417096748994540'::geometry,ST_Transform('0101000020E610000086E6FEE1BD1E10C00417096748994540'::geometry, 3857),'39','06',0.6),
|
||||
(40,'0101000020E6100000FB51C33F733710C038D01729E4954440'::geometry,ST_Transform('0101000020E6100000FB51C33F733710C038D01729E4954440'::geometry, 3857),'40','07',0.5),
|
||||
(41,'0101000020E6100000912D6FDA28BB16C031321F08C4B74240'::geometry,ST_Transform('0101000020E6100000912D6FDA28BB16C031321F08C4B74240'::geometry, 3857),'41','01',0.4),
|
||||
(42,'0101000020E6100000554432EABEB504C069ECD78775CF4440'::geometry,ST_Transform('0101000020E6100000554432EABEB504C069ECD78775CF4440'::geometry, 3857),'42','07',0.2),
|
||||
(43,'0101000020E6100000157F117C1A2EEA3F027CD1F2368B4440'::geometry,ST_Transform('0101000020E6100000157F117C1A2EEA3F027CD1F2368B4440'::geometry, 3857),'43','09',0.3),
|
||||
(44,'0101000020E610000051AA5B1BD718EABFEE67613BA4544440'::geometry,ST_Transform('0101000020E610000051AA5B1BD718EABFEE67613BA4544440'::geometry, 3857),'44','02',0.2),
|
||||
(45,'0101000020E610000022C5C01BB69710C08563BC1499E54340'::geometry,ST_Transform('0101000020E610000022C5C01BB69710C08563BC1499E54340'::geometry, 3857),'45','08',0.3),
|
||||
(46,'0101000020E6100000D5FCF78A11A0E9BFDEA46F8E64AF4340'::geometry,ST_Transform('0101000020E6100000D5FCF78A11A0E9BFDEA46F8E64AF4340'::geometry, 3857),'46','10',0.2),
|
||||
(47,'0101000020E61000003AE63525866313C02100050B2BD14440'::geometry,ST_Transform('0101000020E61000003AE63525866313C02100050B2BD14440'::geometry, 3857),'47','07',0.3),
|
||||
(48,'0101000020E610000030F187FD1FD206C0C767E1496C9E4540'::geometry,ST_Transform('0101000020E610000030F187FD1FD206C0C767E1496C9E4540'::geometry, 3857),'48','16',0.5),
|
||||
(49,'0101000020E61000009C22867B12EC17C006C5F40C14DD4440'::geometry,ST_Transform('0101000020E61000009C22867B12EC17C006C5F40C14DD4440'::geometry, 3857),'49','07',0.2),
|
||||
(50,'0101000020E6100000F7D5EFC62D08F1BF69D1231D68CF4440'::geometry,ST_Transform('0101000020E6100000F7D5EFC62D08F1BF69D1231D68CF4440'::geometry, 3857),'50','02',0.6),
|
||||
(51,'0101000020E61000005B0E1F8DAA5F15C0530BFE285BF24140'::geometry,ST_Transform('0101000020E61000005B0E1F8DAA5F15C0530BFE285BF24140'::geometry, 3857),'51','18',0.01),
|
||||
(10,'0101000020E61000000FD65D82AEA418C06192D1351FDB4340'::geometry,ST_Transform('0101000020E61000000FD65D82AEA418C06192D1351FDB4340'::geometry, 3857),'10','11',0.04),
|
||||
(11,'0101000020E6100000B305531DAB0A17C0DEAFCD4EE5464240'::geometry,ST_Transform('0101000020E6100000B305531DAB0A17C0DEAFCD4EE5464240'::geometry, 3857),'11','01',0.08),
|
||||
(12,'0101000020E610000059721A7297C9C2BF9EBE383BE51E4440'::geometry,ST_Transform('0101000020E610000059721A7297C9C2BF9EBE383BE51E4440'::geometry, 3857),'12','10',0.2),
|
||||
(14,'0101000020E610000000C86313AF3C13C0E530879C10FF4240'::geometry,ST_Transform('0101000020E610000000C86313AF3C13C0E530879C10FF4240'::geometry, 3857),'14','01',0.2),
|
||||
(15,'0101000020E61000002A475497B6ED20C06643D4131A904540'::geometry,ST_Transform('0101000020E61000002A475497B6ED20C06643D4131A904540'::geometry, 3857),'15','12',0.3),
|
||||
(20,'0101000020E6100000F975566FAD8D01C0E840C33F67924540'::geometry,ST_Transform('0101000020E6100000F975566FAD8D01C0E840C33F67924540'::geometry, 3857),'20','16',0.8),
|
||||
(23,'0101000020E610000025FA13E595880BC022BB07131D024340'::geometry,ST_Transform('0101000020E610000025FA13E595880BC022BB07131D024340'::geometry, 3857),'23','01',0.1),
|
||||
(24,'0101000020E61000009C5F91C5095C17C0C78784B15A4F4540'::geometry,ST_Transform('0101000020E61000009C5F91C5095C17C0C78784B15A4F4540'::geometry, 3857),'24','07',0.3),
|
||||
(29,'0101000020E6100000C34D4A5B48E712C092E680892C684240'::geometry,ST_Transform('0101000020E6100000C34D4A5B48E712C092E680892C684240'::geometry, 3857),'29','01',0.3),
|
||||
(52,'0101000020E6100000406A545EB29A07C04E5F0BDA39A54140'::geometry,ST_Transform('0101000020E6100000406A545EB29A07C04E5F0BDA39A54140'::geometry, 3857),'52','19',0.01)
|
||||
@ -1,2 +1,2 @@
|
||||
import poc
|
||||
import random_seeds
|
||||
import clustering
|
||||
|
||||
@ -1 +0,0 @@
|
||||
from xyz import *
|
||||
@ -1,6 +0,0 @@
|
||||
import plpy
|
||||
|
||||
def xyz():
|
||||
plpy.notice('XYZ...')
|
||||
r = plpy.execute("select * from pg_class where relname='pg_class'")
|
||||
return r[0]['reltype']
|
||||
10
python/crankshaft/crankshaft/random_seeds.py
Normal file
10
python/crankshaft/crankshaft/random_seeds.py
Normal file
@ -0,0 +1,10 @@
|
||||
import random
|
||||
import numpy
|
||||
|
||||
def set_random_seeds(value):
|
||||
"""
|
||||
Set the seeds of the RNGs (Random Number Generators)
|
||||
used internally.
|
||||
"""
|
||||
random.seed(value)
|
||||
numpy.random.seed(value)
|
||||
@ -22,7 +22,7 @@ setup(
|
||||
license='MIT',
|
||||
|
||||
classifiers=[
|
||||
'Development Status :: 1 - Planning',
|
||||
'Development Status :: 3 - Alpha',
|
||||
'Intended Audience :: Mapping comunity',
|
||||
'Topic :: Maps :: Mapping Tools',
|
||||
'License :: OSI Approved :: MIT License',
|
||||
@ -38,6 +38,8 @@ setup(
|
||||
'test': ['unittest', 'nose', 'mock'],
|
||||
},
|
||||
|
||||
# The choice of component versions is dictated by what's
|
||||
# provisioned in the production servers.
|
||||
install_requires=['pysal==1.11.0','numpy==1.6.1'],
|
||||
|
||||
requires=['pysal', 'numpy'],
|
||||
|
||||
@ -1,23 +0,0 @@
|
||||
#!/usr/local/bin/python
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import unittest
|
||||
|
||||
# from mock_plpy import MockPlPy
|
||||
# plpy = MockPlPy()
|
||||
#
|
||||
# import sys
|
||||
# sys.modules['plpy'] = plpy
|
||||
|
||||
from helper import plpy
|
||||
import crankshaft
|
||||
|
||||
class TestPoc(unittest.TestCase):
|
||||
|
||||
def setUp(self):
|
||||
plpy._reset()
|
||||
|
||||
def test_should_have_xyz(self):
|
||||
plpy._define_result('select.*from\s+pg_class', [{'reltype': 111}])
|
||||
assert crankshaft.poc.xyz() == 111
|
||||
assert plpy.notices[0] == 'XYZ...'
|
||||
Loading…
Reference in New Issue
Block a user