- This is particularly necessary in relation to the custom of drawing up black lists.
- Detta är särskilt nödvändigt beträffande vanan att upprätta svarta listor.
- Every carrier included in the black list will be grounded throughout the entire EU territory, as it is unthinkable that a carrier could be declared deficient and allowed to transport passengers.
- Alla lufttrafikföretag som finns med på den svarta listan kommer att beläggas med flygförbud inom hela EU:s territorium, eftersom det är otänkbart att ett trafikföretag skulle förklaras bristfälligt och sedan tillåtas transportera passagerare.
- Also, the countries bordering the Black Sea, such as Georgia, are on the black list of the Paris Memorandum of Understanding, and the other 5 countries bordering the Black Sea are on the grey list.
- Dessutom finns länderna runt Svarta havet, till exempel Georgien, med på den svarta listan i samförståndsavtalet från Paris, och de andra fem länderna vid Svarta havet finns med på den grå listan.
- The most satisfactory solution for the user is to publish one single Community black list, which is updated by the Member States but which concerns the entire airspace of the EU without singling out the Member State behind each measure.
- Den mest tillfredsställande lösningen för användarna är att offentliggöra en enda svart lista för gemenskapen, som uppdateras av medlemsstaterna, men som gäller hela EU:s luftrum, utan att skilja ut medlemsstaten bakom varje åtgärd.
- Within the draft report that I presented on Tuesday before the Committee on Transport and Tourism, I requested, in particular, that a black list based on a set of objective safety criteria be drawn up, which would be valid throughout the entire EU territory.
- I det förslag till betänkande som jag lade fram i tisdags inför utskottet för transport och turism kräver jag särskilt att en svart lista som bygger på en uppsättning objektiva säkerhetskriterier ska utarbetas, och att denna lista skulle gälla inom hela EU:s territorium.
- The Commission, in preparing the proposal, was inspired by the findings of the contract framework of reference (CFR), for example, on the black list of unfair contract terms, the passing-off and delivery rules, as well as the streamlining of the pre-contractual information requirements.
- Vid utarbetandet av förslaget tog kommissionen intryck av resultaten inom den gemensamma referensramen (CFR), till exempel när det gäller svarta listan över oskäliga avtalsvillkor, reglerna om ”dubblettprodukter” och leveranser, samt en effektivisering av kraven på förhandsinformation.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 62584 AND
t12.lemma_id = 59985 AND
t21.lemma_id = 52409 AND
t22.lemma_id = 21109),
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;
;