correct line_ending

This commit is contained in:
2022-09-18 07:33:05 +08:00
parent 8f3b648c53
commit 1e6bb250b5
63 changed files with 10815 additions and 10804 deletions
+25 -25
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@@ -1,25 +1,25 @@
FUNCTION covariance (x , y ) {
xmean := avg (x) ;
ymean := avg (y) ;
avg (( x - xmean ) * (y - ymean ))
}
FUNCTION sd ( x) {
sqrt ( covariance (x , x) )
}
FUNCTION pairCorr (x , y ) {
covariance (x , y ) / ( sd (x) * sd (y ))
}
CREATE TABLE test1(a INT, b INT, c INT, d INT)
LOAD DATA INFILE "data/test.csv"
INTO TABLE test1
FIELDS TERMINATED BY ","
SELECT pairCorr(c, b) * d, sum(a), b
FROM test1
group by c,b,d
order by b ASC
FUNCTION covariance (x , y ) {
xmean := avg (x) ;
ymean := avg (y) ;
avg (( x - xmean ) * (y - ymean ))
}
FUNCTION sd ( x) {
sqrt ( covariance (x , x) )
}
FUNCTION pairCorr (x , y ) {
covariance (x , y ) / ( sd (x) * sd (y ))
}
CREATE TABLE test1(a INT, b INT, c INT, d INT)
LOAD DATA INFILE "data/test.csv"
INTO TABLE test1
FIELDS TERMINATED BY ","
SELECT pairCorr(c, b) * d, sum(a), b
FROM test1
group by c,b,d
order by b ASC
+34 -34
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@@ -1,34 +1,34 @@
FUNCTION covariance (x , y ) {
xmean := avg (x) ;
ymean := avg (y) ;
avg (( x - xmean ) * (y - ymean ))
}
FUNCTION sd ( x) {
sqrt ( covariance (x , x) )
}
FUNCTION pairCorr (x , y ) {
covariance (x , y ) / ( sd (x) * sd (y ))
}
-- FUNCTION covariances (w, x , y ) {
-- xmean := avgs (w, x) ;
-- ymean := avgs (y) ;
-- avg (( x - xmean ) * (y - ymean ))
-- }
CREATE TABLE tt(a INT, b INT, c INT, d INT)
LOAD DATA INFILE "data/test.csv"
INTO TABLE tt
FIELDS TERMINATED BY ","
CREATE TABLE sale1(Mont INT, sales INT)
LOAD DATA INFILE "data/moving_avg.csv"
INTO TABLE sale1
FIELDS TERMINATED BY ","
select sd(a) + sales from tt, sale1 where tt.a = sale1.Mont
FUNCTION covariance (x , y ) {
xmean := avg (x) ;
ymean := avg (y) ;
avg (( x - xmean ) * (y - ymean ))
}
FUNCTION sd ( x) {
sqrt ( covariance (x , x) )
}
FUNCTION pairCorr (x , y ) {
covariance (x , y ) / ( sd (x) * sd (y ))
}
-- FUNCTION covariances (w, x , y ) {
-- xmean := avgs (w, x) ;
-- ymean := avgs (y) ;
-- avg (( x - xmean ) * (y - ymean ))
-- }
CREATE TABLE tt(a INT, b INT, c INT, d INT)
LOAD DATA INFILE "data/test.csv"
INTO TABLE tt
FIELDS TERMINATED BY ","
CREATE TABLE sale1(Mont INT, sales INT)
LOAD DATA INFILE "data/moving_avg.csv"
INTO TABLE sale1
FIELDS TERMINATED BY ","
select sd(a) + sales from tt, sale1 where tt.a = sale1.Mont
+8 -8
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@@ -1,8 +1,8 @@
LOAD MODULE FROM "./test.so"
FUNCTIONS (
mydiv(a:int, b:int) -> double,
mulvec(a:int, b:vecfloat) -> vecfloat
);
select mydiv(2,3);
LOAD MODULE FROM "./test.so"
FUNCTIONS (
mydiv(a:int, b:int) -> double,
mulvec(a:int, b:vecfloat) -> vecfloat
);
select mydiv(2,3);
+112 -112
View File
@@ -1,112 +1,112 @@
FUNCTION
execStrategy ( alloc , mavgday , mavgmonth , px ) {
buySignal := mavgday > mavgmonth ;
f := a + b ;
alloc * prd (
CASE maxs ( buySignal )
WHEN TRUE THEN
CASE buySignal
WHEN TRUE THEN 1 / px
ELSE px
END
ELSE 1
END )
}
FUNCTION covariance (x , y ) {
xmean := avg (x) ;
ymean := avg (y) ;
avg (( x - xmean ) * (y - ymean ))
}
FUNCTION sd ( x) {
sqrt ( covariance (x , x) )
}
FUNCTION pairCorr (x , y ) {
covariance (x , y ) / ( sd (x) * sd (y ))
}
<k>
`
p:5
q:2
phi:(p+1)?1.
theta:q?1.
"p q phi theta"
p
q
phi
theta
l:()
e:()
`
L1:10?20
Le1:10?2.
L2:3?20
Le2:3?2.
"L1 Le1 L2 Le2"
L1
Le1
L2
Le2
`
"Add L1, then predict"
l:l,L1
e:e,Le1
predict:(phi(0)) + (sum ({[x](phi(x+1)) * (l(((#l)-1)-x))}[!p])) - (sum ({[x](theta(x)) * (e(((#e)-1)-x))}[!q]))
predict
`
"Add L2, then predict"
l:l,L2
e:e,Le2
predict:(phi(0)) + (sum ({[x](phi(x+1)) * (l(((#l)-1)-x))}[!p])) - (sum ({[x](theta(x)) * (e(((#e)-1)-x))}[!q]))
predict
</k>
WITH
Target (Id , TradeDate , ClosePrice ) AS
( SELECT
Id , TradeDate , ClosePrice
FROM price
WHERE Id IN stock10 AND
TradeDate >= startYear10 AND
TradeDate <= startYear10 + 365 * 10),
weekly (Id , bucket , name , low , high , mean ) AS
( SELECT
Id ,
timeBucket ,
" weekly " ,
min ( ClosePrice ) ,
max ( ClosePrice ) ,
avg ( ClosePrice )
FROM Target
GROUP BY Id , getWeek ( TradeDate ) as
timeBucket ),
monthly ( Id , bucket , name , low , high , mean ) AS
( SELECT
Id ,
timeBucket ,
" monthly " ,
min ( ClosePrice ) ,
max ( ClosePrice ) ,
avg ( ClosePrice )
FROM Target
GROUP BY Id , getMonth ( TradeDate ) as
timeBucket ),
yearly (Id , bucket , name , low , high , mean ) AS
( SELECT
Id ,
timeBucket ,
" yearly " ,
min ( ClosePrice ) ,
max ( ClosePrice ) ,
avg ( ClosePrice )
FROM Target
GROUP BY Id , getYear ( TradeDate ) as
timeBucket )
SELECT
Id , bucket , name , low , high , mean
FROM
CONCATENATE ( weekly , monthly , yearly )
ASSUMING ASC Id , ASC name , ASC bucket
FUNCTION
execStrategy ( alloc , mavgday , mavgmonth , px ) {
buySignal := mavgday > mavgmonth ;
f := a + b ;
alloc * prd (
CASE maxs ( buySignal )
WHEN TRUE THEN
CASE buySignal
WHEN TRUE THEN 1 / px
ELSE px
END
ELSE 1
END )
}
FUNCTION covariance (x , y ) {
xmean := avg (x) ;
ymean := avg (y) ;
avg (( x - xmean ) * (y - ymean ))
}
FUNCTION sd ( x) {
sqrt ( covariance (x , x) )
}
FUNCTION pairCorr (x , y ) {
covariance (x , y ) / ( sd (x) * sd (y ))
}
<k>
`
p:5
q:2
phi:(p+1)?1.
theta:q?1.
"p q phi theta"
p
q
phi
theta
l:()
e:()
`
L1:10?20
Le1:10?2.
L2:3?20
Le2:3?2.
"L1 Le1 L2 Le2"
L1
Le1
L2
Le2
`
"Add L1, then predict"
l:l,L1
e:e,Le1
predict:(phi(0)) + (sum ({[x](phi(x+1)) * (l(((#l)-1)-x))}[!p])) - (sum ({[x](theta(x)) * (e(((#e)-1)-x))}[!q]))
predict
`
"Add L2, then predict"
l:l,L2
e:e,Le2
predict:(phi(0)) + (sum ({[x](phi(x+1)) * (l(((#l)-1)-x))}[!p])) - (sum ({[x](theta(x)) * (e(((#e)-1)-x))}[!q]))
predict
</k>
WITH
Target (Id , TradeDate , ClosePrice ) AS
( SELECT
Id , TradeDate , ClosePrice
FROM price
WHERE Id IN stock10 AND
TradeDate >= startYear10 AND
TradeDate <= startYear10 + 365 * 10),
weekly (Id , bucket , name , low , high , mean ) AS
( SELECT
Id ,
timeBucket ,
" weekly " ,
min ( ClosePrice ) ,
max ( ClosePrice ) ,
avg ( ClosePrice )
FROM Target
GROUP BY Id , getWeek ( TradeDate ) as
timeBucket ),
monthly ( Id , bucket , name , low , high , mean ) AS
( SELECT
Id ,
timeBucket ,
" monthly " ,
min ( ClosePrice ) ,
max ( ClosePrice ) ,
avg ( ClosePrice )
FROM Target
GROUP BY Id , getMonth ( TradeDate ) as
timeBucket ),
yearly (Id , bucket , name , low , high , mean ) AS
( SELECT
Id ,
timeBucket ,
" yearly " ,
min ( ClosePrice ) ,
max ( ClosePrice ) ,
avg ( ClosePrice )
FROM Target
GROUP BY Id , getYear ( TradeDate ) as
timeBucket )
SELECT
Id , bucket , name , low , high , mean
FROM
CONCATENATE ( weekly , monthly , yearly )
ASSUMING ASC Id , ASC name , ASC bucket
+14 -14
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@@ -1,14 +1,14 @@
AGGREGATION FUNCTION covariances(x, y, w){
static xmeans := 0., ymeans := 0., cnt := 0;
if (cnt < w)
{
xmeans += x;
ymeans += y;
cnt+=1;
}
else {
xmeans += (x - x.vec[cnt - w]) / w;
ymeans += (y - y.vec[cnt - w]) / w;
}
avg (( x.vec(x.len-w, x.len) - xmeans ) * (y.vec(y.len - w, y.len) - ymeans ))
}
AGGREGATION FUNCTION covariances(x, y, w){
static xmeans := 0., ymeans := 0., cnt := 0;
if (cnt < w)
{
xmeans += x;
ymeans += y;
cnt+=1;
}
else {
xmeans += (x - x.vec[cnt - w]) / w;
ymeans += (y - y.vec[cnt - w]) / w;
}
avg (( x.vec(x.len-w, x.len) - xmeans ) * (y.vec(y.len - w, y.len) - ymeans ))
}
+40 -40
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@@ -1,40 +1,40 @@
AGGREGATION FUNCTION covariances2(x, y, win){
xmeans := 0.;
ymeans := 0.;
l := _builtin_len;
if (l > 0)
{
xmeans := x[0];
ymeans := y[0];
_builtin_ret[0] := 0.;
}
w := win;
if (w > l)
w := l;
for (i := 1, j:= 0; i < w; i := i+1) {
xmeans += x[i];
ymeans += y[i];
_builtin_ret[i] := avg (( x(0, i) - xmeans/i ) * (y(0, i) - ymeans/i ));
}
xmeans /= w;
ymeans /= w;
for (i := w; i < l; i += 1)
{
xmeans += (x[i] - x[i - w]) / w;
ymeans += (y[i] - y[i - w]) / w;
_builtin_ret[i] := avg (( x(i-w, i) - xmeans ) * (y(i - w, i) - ymeans ));
}
Null
}
CREATE TABLE test(a INT, b INT, c INT, d INT)
LOAD DATA INFILE "data/test2.csv"
INTO TABLE test
FIELDS TERMINATED BY ","
select covariances2(a, b, 4), a+b from test group by c;
AGGREGATION FUNCTION covariances2(x, y, win){
xmeans := 0.;
ymeans := 0.;
l := _builtin_len;
if (l > 0)
{
xmeans := x[0];
ymeans := y[0];
_builtin_ret[0] := 0.;
}
w := win;
if (w > l)
w := l;
for (i := 1, j:= 0; i < w; i := i+1) {
xmeans += x[i];
ymeans += y[i];
_builtin_ret[i] := avg (( x(0, i) - xmeans/i ) * (y(0, i) - ymeans/i ));
}
xmeans /= w;
ymeans /= w;
for (i := w; i < l; i += 1)
{
xmeans += (x[i] - x[i - w]) / w;
ymeans += (y[i] - y[i - w]) / w;
_builtin_ret[i] := avg (( x(i-w, i) - xmeans ) * (y(i - w, i) - ymeans ));
}
Null
}
CREATE TABLE test(a INT, b INT, c INT, d INT)
LOAD DATA INFILE "data/test2.csv"
INTO TABLE test
FIELDS TERMINATED BY ","
select covariances2(a, b, 4), a+b from test group by c;