# Path: rawe/utils/codegen.py
# def makeJobs():
# def memoizeFiles(genfiles,prefix=''):
#         def doAssertions(blah):
# def writeDifferentFiles(path,gfs):
#             def writeFile():
# def _getExportPath(genfiles,prefix):
# def flattenFileDict(fd,prefix=''):
# def directoryToDict(top):
# def withTempdir(command):
# def writeCCode(f, name):
#     def callme(tmpdir):


import casadi as C
from ..utils import codegen
    jacobian_inputs = C.veccat([dae.xVec(), dae.zVec(), dae.uVec(), xdot])
    f = dae.getResidual()

    # dae residual
    rhs = C.SXFunction( [inputs], [f] )
    rhs.init()
    # handle time scaling
    [f] = rhs([C.veccat([dae.xVec(), dae.zVec(), dae.uVec(), dae.pVec(), xdot/timeScaling])])
    rhs = C.SXFunction( [inputs], [C.dense(f)] )
    rhs.init()
    rhsString = codegen.writeCCode(rhs, 'rhs')

    # dae residual jacobian
    jf = C.veccat( [ C.jacobian(f,jacobian_inputs).T ] )
    rhsJacob = C.SXFunction( [inputs], [C.dense(jf)] )
    rhsJacob.init()
    rhsJacobString = codegen.writeCCode(rhsJacob, 'rhsJacob')

    ret = {'rhs':rhs,
           'rhsJacob':rhsJacob,
           'rhsFile':rhsString,
           'rhsJacobFile':rhsJacobString}

    if measurements is not None:
        # measurements
        measurementsFun = C.SXFunction( [inputs], [measurements] )
        measurementsFun.init()
        [measurements] = measurementsFun([C.veccat([dae.xVec(), dae.zVec(), dae.uVec(), dae.pVec(), xdot/timeScaling])])
        measurementsFun = C.SXFunction( [inputs], [C.dense(measurements)] )
        measurementsFun.init()

# Path: rawe/utils/codegen.py
# def makeJobs():
# def memoizeFiles(genfiles,prefix=''):
#         def doAssertions(blah):
# def writeDifferentFiles(path,gfs):
#             def writeFile():
# def _getExportPath(genfiles,prefix):
# def flattenFileDict(fd,prefix=''):
# def directoryToDict(top):
# def withTempdir(command):
# def writeCCode(f, name):
#     def callme(tmpdir):


# Path: rawe/rtIntegrator/rtModelExport.py
import casadi as C
from ..utils import codegen

    jacobian_inputs = C.veccat([dae.xVec(), dae.zVec(), dae.uVec(), xdot])
    f = dae.getResidual()

    # dae residual
    rhs = C.SXFunction( [inputs], [f] )
    rhs.init()
    # handle time scaling
    [f] = rhs([C.veccat([dae.xVec(), dae.zVec(), dae.uVec(), dae.pVec(), xdot/timeScaling])])
    rhs = C.SXFunction( [inputs], [C.dense(f)] )
    rhs.init()
    rhsString = codegen.writeCCode(rhs, 'rhs')

    # dae residual jacobian
    jf = C.veccat( [ C.jacobian(f,jacobian_inputs).T ] )
    rhsJacob = C.SXFunction( [inputs], [C.dense(jf)] )
    rhsJacob.init()
    rhsJacobString = codegen.writeCCode(rhsJacob, 'rhsJacob')

    ret = {'rhs':rhs,
           'rhsJacob':rhsJacob,
           'rhsFile':rhsString,
           'rhsJacobFile':rhsJacobString}

    if measurements is not None:
        # measurements
        measurementsFun = C.SXFunction( [inputs], [measurements] )
        measurementsFun.init()
        [measurements] = measurementsFun([C.veccat([dae.xVec(), dae.zVec(), dae.uVec(), dae.pVec(), xdot/timeScaling])])
        measurementsFun = C.SXFunction( [inputs], [C.dense(measurements)] )
        measurementsFun.init()

        measurementsString = codegen.writeCCode(measurementsFun, 'measurements')