# Fityk 0.7.8

### syntax testing
### this script doesn't assume location of any other files (ie. no data files
### are read, and produces only file in current directory, which start with
### `tmp_' prefix, eg. tmp_foo.xy


# first set some options useful for testing

set exit-on-warning = 1
set autoplot = never
set pseudo-random-seed = 174924
set verbosity = verbose


# ... and then issue as many commands as possible, checking for sytax errors

# predefined data transformations
M=500
x=n/100
M=500; x=n/100; y=sin(x); s=1 
Y[1...] = Y[n-1] + y[n];S = sqrt(max2(1,y))
Y[...-1] = (y[n+1]-y[n])/(x[n+1]-x[n]);X[...-1] = (x[n+1]+x[n])/2
M=M-1;S = sqrt(max2(1,y))
S = s / sum(n > 0 ? (x[n] - x[n-1]) * (y[n-1] + y[n])/2 : 0);
Y = y / sum(n > 0 ? (x[n] - x[n-1]) * (y[n-1] + y[n])/2 : 0)
X[...-1] = (x[n]+x[n+1])/2;Y[...-1] = y[n]+y[n+1];
S[...-1] = sqrt(s[n]^2+s[n]^2); delete(n%2==1)
Y=max2(y,0)
delete(not a)
Y=x , X=y , S=sqrt(max2(1,Y))
Y=-y
a=true
X = 4*pi * sin(x/2*pi/180) / 1.54051
X = asin(x/(4*pi)*1.54051) * 2*180/pi
X = x[0] + n * (x[M-1]-x[0]) / (M-1),  Y = y[x=X], S = s[x=X], A = a[x=X]
del @0

@0.title = 'Title X'
@+
@1.title = TitleY
M = 400 in @1
X=n/M*3*pi in @1
Y=sin(x) in @1
plot in @1
sleep 0.3
M = 800 in @0
X = 10 + n/M*90 in @0
delete @1
Y = 30
Y = y + 3000 * exp(-((x-21.2)/0.3)^2) # Gaussian
Y = y + 2450 / (1 + ((x-41.4)/0.3)^2) #Lorentzian
$height=1901; $center=75.313; $hwhm=0.5; $shape=2.4
Y = y + $height/(1+((x-$center)/$hwhm)^2*(2^(1/$shape)-1))^$shape #Pearson VII
S = sqrt(max2(1, y))
Y = randnormal(y, s)  #noise
plot in @0
sleep 0.3

%p = guess Lorentzian center=~75
plot in @0
sleep 0.2
del %p
guess Gaussian
%lo = guess SplitGaussian [38:]
plot in @0
sleep 0.3
%lo = guess LorentzianA [38:44]
%pe = Pearson7(height=~1901, center=~75.313, hwhm=~1/2, shape=2.4) 
F += %pe
%ble = copy(%pe)
dele %pe
F += Pearson7(~2000, ~75, ~0.6, ~2) 
fit 2 in @0
fit+ 15
with fitting-method=Nelder-Mead-simplex fit 10
with fitting-method=Genetic-Algorithms fit 10
%fun = copy(%_1)
i+ %ble, %lo
$a = %ble.shape
$a = %ble.shape + %lo.hwhm 
$b = ~{%ble.shape} + {%lo.hwhm} 
$abc = F[0].hwhm + 1
$abc = {F[0].hwhm + 0.1}
@0.F[0].hwhm = $abc
F.hwhm = $abc
F.hwhm = ~{F[0].hwhm + 0.1}
%lo_cp = copy(@0.F[1])
del %lo_cp
fit 
fit history 0 
fit h -1 
f u 
f redo
fi undo
fi re
fit history clear 


info version
info variables
i $a, $_11
inf types
i functions
i %fun(3), %ble(2 + 5*sin(2/3*pi) + %fun(3.3))
i %fun, %ble
i datasets
i commands
i view
i @0.F
i @0.F[0], @0.F[-1]
i @0.Z
i formula in @0
i @0.dF(12*3)
i @0
i @0.filename, @0.title
i fit
i fit-history
i set
i errors
i guess in @0
i guess [10:40] in @0
i ((3+5) * (2.1+pi) * exp(5)/cos(ln(3)))^2 in @0
i GaussianA, Gaussian, Linear
i SplitGaussian
i formula
i min(y), max(s)
i min(y if 20<x<25)
i sum(y-y[0])
i avg(y*y), stddev(y if y > avg(y))
i darea(y-@0.F(x) if 15<x<20)


info+ version, variables
i+ $a, $_11
inf+ types
i+ functions
i+ %fun(3), %ble(2 + 5*sin(2/3*pi) + %fun(3.3))
i+ %fun, %ble
i+ datasets
i+ commands
i+ view
i+ @0.F
i+ @0.F[0], @0.F[-1]
i+ @0.Z
i+ formula in @0
i+ @0.dF(12*3)
i+ @0
i+ @0.filename, @0.title
i+ fit
i+ fit-history
i+ set
i+ errors
i+ guess in @0
i+ guess [10:40] in @0
i+ ((3+5) * (2.1+pi) * exp(5)/cos(ln(3)))^2 in @0
i+ GaussianA, Gaussian, Linear

# data expressions
$foo = {y[0] in @0} + 1
$foo = 3 + 1
Y = y / $foo
i 2*(findx(%fun, %fun.Center, %fun.Center+10, %fun.Height/2) - %fun.Center) 
i %fun.FWHM
%c = Constant(~0.001) 
Z = %c + %fun
Z -= %c
Z = 0
Z += %c
X = x + @0.Z(x)
del %c
i %fun(extremum(%fun, 10, 50))
i s[x=19.92]^2 in @0, y[x=19.92] in @0


plot 
p [30:40.2][-1:]
p . . 
plot . [:1000]
plo [:50]
pl [40:] .
plo [] in @* 
plo [:50] in @0 

@+ = @0
@+
@2 = @0 + @1
del @2
@+ = avg_same_x @0 + @1
delete @2
@1.F = copy(@0.F)
@1.Z = copy(@0.Z)
with epsilon=0.1 @1 = sum_same_x @1


#test variable rhs syntax parsing
$t1 = 3
$t2 = -$t1
$t3 = $t1+(-$t2^2)
$t4=sin($t1)^2+(-cos($t1))^2
$t5=voigt($t4, ~3)

define Bleh(area, center, fwhm, shape) = GaussianA(area*(1-shape), center, fwhm) + LorentzianA(area*shape, center, fwhm+0.2)
%bleh = Bleh(~123., 30, ~4, ~0.5)
undefine Bleh
define Bleh(a) = Linear(0, a)
%bleh = Bleh(~{pi})
i+ Bleh, %bleh
del %bleh
#TODO def Foo(a,b,c)= ....formula...


info commands[2:5] # commands from script are not stored in commands[] ...
info commands[8]   # ... so it can be empty
info+ commands[8]
commands > tmp_log.fit
commands+ > tmp_log.fit
commands > /dev/null
commands < tmp_log.fit # it's an empty file (with some comments)
info commands[0:4] >tmp_foo.fit 
info+ commands[0] >>tmp_foo.fit 

@0 > tmp_foo1.xy
@0 (x, y, s) > tmp_foo2.xy
@0 (x, y, a) > tmp_foo3.xy
@0 (x, y, s, @0.F(x), *F(x), (y-@0.F(x))/s, a) > tmp_foo4.xy
info peaks in @0 > tmp_foo5.xy
info+ peaks in @0 > tmp_foo6.xy
info formula in @0 > tmp_foo7.xy
info+ formula in @0 > tmp_foo8.xy
info+ peaks in @* > tmp_foo9.xy
dump > tmp_dump.fit

# settings
set can-cancel-guess # only shows info
set can-cancel-guess = 1
set cut-function-level = 0
set fitting-method = Levenberg-Marquardt
set formula-export-style = normal
set guess-at-center-pm = 1
set height-correction = 1
set lm-lambda-down-factor = 10
set lm-lambda-start = 0.001
set lm-lambda-up-factor = 10
set lm-max-lambda = 1e+15
set lm-stop-rel-change = 0.0001
set max-wssr-evaluations = 1000
set nm-convergence = 0.0001
set nm-distribution = bound
set nm-move-all = 0
set nm-move-factor = 1
set variable-domain-percent = 30
set width-correction = 1
set epsilon = 1e-12
set data-default-sigma=one
set data-default-sigma=sqrt
set verbosity = debug
set verbosity = normal
set verbosity = quiet
set verbosity = verbose

set exit-on-warning = 0
reset
#quit