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We are British founded and inspired but our daters are just like you. Taking the time to understand you, allows us the opportunity to find a partner that compliments both you and each others goals.… continue reading »


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The algorithm simply doesn't process "bad" input--for instance, racist or sexist language--Mortensen says. trainers--which make up two-thirds of the startup's team--who assemble and label data that comes from email conversations with Amy and Andrew. systems, nuanced language is still an ongoing challenge for the algorithms. and says she's free "tomorrow," does she really mean today?… continue reading »


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Therefore I have shared my Tamil Aunties Mobile Numbers under the category Aunties Mobile Numbers.… continue reading »


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Pushing the pace causes areas of each other’s character to not be observed.… continue reading »


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For the example, we need a little CREATE TABLE shoe_data ( shoename text, -- primary key sh_avail integer, -- available number of pairs slcolor text, -- preferred shoelace color slminlen real, -- minimum shoelace length slmaxlen real, -- maximum shoelace length slunit text -- length unit ); CREATE TABLE shoelace_data ( sl_name text, -- primary key sl_avail integer, -- available number of pairs sl_color text, -- shoelace color sl_len real, -- shoelace length sl_unit text -- length unit ); CREATE TABLE unit ( un_name text, -- primary key un_fact real -- factor to transform to cm ); CREATE VIEW shoe AS SELECT sh.shoename, sh.sh_avail, sh.slcolor, sh.slminlen, sh.slminlen * un.un_fact AS slminlen_cm, sh.slmaxlen, sh.slmaxlen * un.un_fact AS slmaxlen_cm, sh.slunit FROM shoe_data sh, unit un WHERE sh.slunit = un.un_name; CREATE VIEW shoelace AS SELECT s.sl_name, s.sl_avail, s.sl_color, s.sl_len, s.sl_unit, s.sl_len * u.un_fact AS sl_len_cm FROM shoelace_data s, unit u WHERE s.sl_unit = u.un_name; CREATE VIEW shoe_ready AS SELECT rsh.shoename, rsh.sh_avail, rsl.sl_name, rsl.sl_avail, min(rsh.sh_avail, rsl.sl_avail) AS total_avail FROM shoe rsh, shoelace rsl WHERE rsl.sl_color = rsh.slcolor AND rsl.sl_len_cm INSERT INTO unit VALUES ('cm', 1.0); INSERT INTO unit VALUES ('m', 100.0); INSERT INTO unit VALUES ('inch', 2.54); INSERT INTO shoe_data VALUES ('sh1', 2, 'black', 70.0, 90.0, 'cm'); INSERT INTO shoe_data VALUES ('sh2', 0, 'black', 30.0, 40.0, 'inch'); INSERT INTO shoe_data VALUES ('sh3', 4, 'brown', 50.0, 65.0, 'cm'); INSERT INTO shoe_data VALUES ('sh4', 3, 'brown', 40.0, 50.0, 'inch'); INSERT INTO shoelace_data VALUES ('sl1', 5, 'black', 80.0, 'cm'); INSERT INTO shoelace_data VALUES ('sl2', 6, 'black', 100.0, 'cm'); INSERT INTO shoelace_data VALUES ('sl3', 0, 'black', 35.0 , 'inch'); INSERT INTO shoelace_data VALUES ('sl4', 8, 'black', 40.0 , 'inch'); INSERT INTO shoelace_data VALUES ('sl5', 4, 'brown', 1.0 , 'm'); INSERT INTO shoelace_data VALUES ('sl6', 0, 'brown', 0.9 , 'm'); INSERT INTO shoelace_data VALUES ('sl7', 7, 'brown', 60 , 'cm'); INSERT INTO shoelace_data VALUES ('sl8', 1, 'brown', 40 , 'inch'); SELECT * FROM shoelace; sl_name | sl_avail | sl_color | sl_len | sl_unit | sl_len_cm ----------- ---------- ---------- -------- --------- ----------- sl1 | 5 | black | 80 | cm | 80 sl2 | 6 | black | 100 | cm | 100 sl7 | 7 | brown | 60 | cm | 60 sl3 | 0 | black | 35 | inch | 88.9 sl4 | 8 | black | 40 | inch | 101.6 sl8 | 1 | brown | 40 | inch | 101.6 sl5 | 4 | brown | 1 | m | 100 sl6 | 0 | brown | 0.9 | m | 90 (8 rows) To expand the view, the rewriter simply creates a subquery range-table entry containing the rule's action query tree, and substitutes this range table entry for the original one that referenced the view.… continue reading »


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Sometimes it feels like his plans are limiting us, and sometimes it's not easy to wait for God's timing.… continue reading »


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