def nomalize_a_model(equations):
''' a symbolic normalization is performed if there is a syntaxerror '''
out = '\n'.join([
frml if check_syntax_frml(frml) else normalize_a_frml(frml, True)
for frml in find_frml(equations)
])
return out
def find_hist_model(equations):
''' takes a unrolled model and create a model which can be run for historic periode \n
The model calculates residuals for equations with a <res= > clause and \n
and the identities are also calculeted'''
hist = []
for f in find_frml(equations):
hist.append(find_res(f))
a, fr, n, udtryk = split_frml(f.upper())
if kw_frml_name(n, 'IDENT') or kw_frml_name(n, 'I'):
# identites are just replicated in order to calculate backdata
hist.append(f)
return (' '.join(hist))
def find_res_dynare_new(equations):
''' equations to calculat _res formulas
FRML <> x=a*b+c +x_RES $ -> FRML <> x_res =x-a*b+c $
not finished to speed time up '''
out = []
for f in find_frml(equations):
a, fr, n, udtryk = split_frml(f.upper())
lhs, rhs = udtryk.split('=', 1)
lhs = lhs.strip()
rhs = rhs.strip()[:-1]
res = lhs + '_RES'
if res in rhs:
rep = rhs.replace(res, '').strip()[:-1]
new = f'frml <> {res} = {lhs} - ({rep}) $'
out.append(new)
return '\n'.join(out)
def find_res_dynare(equations):
''' equations to calculat _res formulas
FRML <> x=a*b+c +x_RES $ -> FRML <> x_res =x-a*b+c $'''
from sympy import solve, sympify
out=[]
for f in find_frml(equations):
a, fr, n, udtryk = split_frml(f.upper())
lhs, rhs = udtryk.split('=', 1)
res= lhs.strip()+'_RES'
if res in rhs:
# we take the the $ out
kat = sympify('Eq(' + lhs + ',' + rhs[0:-1] + ')')
res_frml = sympify('res_frml')
res_frml = solve(kat, res)
udres = 'FRML ' + 'RES' + ' ' + res + ' = ' + str(res_frml)[1:-1] + ' $'
out.append(udres)
return '\n'.join(out)
