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--- a/sfepy/examples/diffusion/poisson_parametric_study.py
+++ b/sfepy/examples/diffusion/poisson_parametric_study.py
@@ -154,7 +154,7 @@
return out
def vary_omega1_size( problem ):
- """Vary size of \Omega1. Saves also the regions into options['output_dir'].
+ r"""Vary size of \Omega1. Saves also the regions into options['output_dir'].
Input:
problem: Problem instance
@@ -205,7 +205,7 @@
filename = join( output_dir,
('log_%s.txt' % d_format) % ii )
fd = open( filename, 'w' )
- log_item = '$r(\Omega_1)$: %f\n' % diameter
+ log_item = r'$r(\Omega_1)$: %f\n' % diameter
fd.write( log_item )
fd.write( 'solution:\n' )
nm.savetxt(fd, state())
--- a/sfepy/homogenization/coefs_phononic.py
+++ b/sfepy/homogenization/coefs_phononic.py
@@ -283,7 +283,7 @@
return slogs, gaps, kinds
def get_callback(mass, solver_kind, mtx_b=None, mode='trace'):
- """
+ r"""
Return callback to solve band gaps or dispersion eigenproblem P.
Notes
@@ -326,7 +326,7 @@
return eval(mode + '_callback')
def find_zero(f0, f1, callback, freq_eps, zero_eps, mode):
- """
+ r"""
For f \in ]f0, f1[ find frequency f for which either the smallest (`mode` =
0) or the largest (`mode` = 1) eigenvalue of problem P given by `callback`
is zero.
--- a/sfepy/scripts/probe.py
+++ b/sfepy/scripts/probe.py
@@ -174,7 +174,7 @@
output('data ->', os.path.normpath(txt_filename))
def integrate_along_line(x, y, is_radial=False):
- """
+ r"""
Integrate numerically (trapezoidal rule) a function :math:`y=y(x)`.
If is_radial is True, multiply each :math:`y` by :math:`4 \pi x^2`.
--- a/sfepy/solvers/nls.py
+++ b/sfepy/solvers/nls.py
@@ -439,7 +439,7 @@
make the iteration residuals decreasing while for 'error'
the solution error estimates should decrease."""),
('ls_on', 'float', 0.99999, False,
- """Start the backtracking line-search by reducing the step, if
+ r"""Start the backtracking line-search by reducing the step, if
:math:`||d(x^i)|| / ||d(x^{i-1})||` is larger than `ls_on`,
where :math:`d` is either :math:`f` or :math:`\Delta x`
depending on `ls_mode`."""),
|
