- However, the Australians have now withdrawn the reference to a zero quota on legal and scientific grounds, as I mentioned when I moved the question and as the Commissioner has confirmed.
- Australierna har emellertid dragit tillbaka hänvisningen till en nollkvot på rättsliga och vetenskapliga grunder, som jag nämnde när jag drev frågan och som kommissionären har bekräftat.
- Ladies and gentlemen, with regard to the amendments tabled by Mr Turmes, the Commission does not feel that the proposal to withdraw references to the contribution of coal and renewable energy sources and the creation of a base of indigenous primary energy sources is in line with the principles of consolidating supply security and for that reason we cannot accept them.
- Ledamöter, när det gäller Turmes ändringsförslag anser kommissionen att förslaget att dra tillbaka hänvisningen till stenkol och de förnybara energislagens bidrag och att skapa en grund med autonoma primära energikällor inte överensstämmer med principerna att stärka försörjningssäkerheten och vi kan av den anledningen inte godkänna dem. Vi vill insistera på att då frågor om energi och miljö diskuteras skall fokus vara globalt och beakta allt som har med energikällorna och dessas användning att göra.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 54874 AND
t12.lemma_id = 55443 AND
t21.lemma_id = 40879 AND
t22.lemma_id = 18544),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;