- However, in practice the actual formulation of the rules varies greatly from country to country.
- I praktiken är det dock så att reglernas verkliga utformning varierar väldigt mycket mellan olika länder.
- I would like to suggest that there is a total lack of logic with the VAT rate on newspapers, books and magazines varying from zero to 25 %.
- Jag skulle vilja påstå att det råder total avsaknad av samstämmighet eftersom momsen i tidningar, böcker och tidskrifter varierar mellan 0 % och 25 %.
- not only before processing the fuels, because that depends on the area they come from - Persian Gulf, North Sea, and so on -, but also after processing, since requirements vary considerably from one Member State to another.
- Inte bara innan bränslebehandlingen, för det beror på vilken region de kommer i från (Persiska viken, Nordsjön…), utan också efter behandlingen, eftersom normerna varierar mycket mellan staterna.
- However, the design and the style of these parking cards vary considerably from one Member State to another and this can give rise to problems when users of the card find themselves in a Member State other than that in which the card was issued.
- Formgivningen och utförandet av den här sortens parkeringstillstånd varierar avsevärt mellan medlemsstaterna, och det kan ge upphov till problem när användarna av tillstånden befinner sig i en annan medlemsstat än där tillståndet utfärdades.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 45549 AND
t12.lemma_id = 15442 AND
t21.lemma_id = 29536 AND
t22.lemma_id = 469),
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;
;