def component(df, bill_components):
#df = component_type(df, bill_components)
df = connection_type(df, bill_components)
df = end_forms(df, bill_components)
df = sleeve.sleeve(df, bill_components, comp_sleeve)
df = adaptor.adaptor(df, bill_components, comp_adaptor)
df = boss.boss(df, bill_components, comp_boss)
df = elbow.elbow(df, bill_components, comp_elbow)
df = float_.float_(df, bill_components, comp_float)
df = hfl.hfl(df, bill_components, comp_hfl)
df = nut.nut(df, bill_components, comp_nut)
#df = other.other(df, bill_components, comp_other)
df = straight.straight(df, bill_components, comp_straight)
df = tee.tee(df, bill_components, comp_tee)
df = threaded.threaded(df, bill_components, comp_threaded)
return df
def prenut(epoch, mjd):
"""
Form the matrix of precession and nutation (IAU1976/fk5)
Inputs:
- epoch Julian Epoch for mean coordinates
- mjd Modified Julian Date (jd-2400000.5) for true coordinates
Returns:
- pnMat the combined precession/nutation matrix, a 3x3 numpy.array.
Notes:
- The epoch and MJD are TDB (loosely ET).
- The matrix is in the sense V(true) = pnMat * V(mean)
"""
precMat = prec(epoch, epj(mjd))
# Nutation
nutMat = nut(mjd)
# Combine the matrices: pn = N x P
return numpy.dot(nutMat, precMat)
def prenut(epoch, mjd):
"""
Form the matrix of precession and nutation (IAU1976/fk5)
Inputs:
- epoch Julian Epoch for mean coordinates
- mjd Modified Julian Date (jd-2400000.5) for true coordinates
Returns:
- pnMat the combined precession/nutation matrix, a 3x3 numpy.array.
Notes:
- The epoch and MJD are TDB (loosely ET).
- The matrix is in the sense V(true) = pnMat * V(mean)
"""
precMat = prec(epoch, epj(mjd))
# Nutation
nutMat = nut(mjd)
# Combine the matrices: pn = N x P
return numpy.dot(nutMat, precMat)
