from .sawsim import SawsimRunner
+_multiprocess_can_split_ = True
+"""Allow nosetests to split tests between processes.
+"""
+
FIGURE = pylab.figure() # avoid memory problems.
"""`pylab` keeps internal references to all created figures, so share
a single instance.
unique to that experiment.
>>> from .manager.thread import ThreadManager
- >>> velocity_stream = StringIO(EXAMPLE_HISTOGRAM_FILE_CONTENTS)
+ >>> histogram_stream = StringIO(EXAMPLE_HISTOGRAM_FILE_CONTENTS)
>>> param_format_string = (
... '-s cantilever,hooke,0.05 -N1 '
... '-s folded,null -N8 '
... '-s "unfolded,wlc,{0.39e-9,28e-9}" '
... '-k "folded,unfolded,bell,{%g,%g}" -q folded')
>>> m = ThreadManager()
- >>> sr = SawsimRunner(sawsim='bin/sawsim', manager=m)
- >>> hm = HistogramMatcher(velocity_stream, param_format_string, sr, N=3)
+ >>> sr = SawsimRunner(manager=m)
+ >>> hm = HistogramMatcher(histogram_stream, param_format_string, sr, N=3)
>>> hm.plot([[1e-5,1e-3,3],[0.1e-9,1e-9,3]], logx=True, logy=False)
>>> m.teardown()
"""
def __init__(self, histogram_stream, param_format_string,
sawsim_runner, N=400, residual_type='jensen-shannon',
- plot=True):
+ plot=False):
self.experiment_histograms = self._read_force_histograms(
histogram_stream)
self.param_format_string = param_format_string
def _read_force_histograms(self, stream):
"""
File format:
- # comment and blank lines ignored
- <velocity in m/s><whitespace><path to histogram file>
- ...
+
+ # comment and blank lines ignored
+ #HISTOGRAM: <histogram-specific params>
+ <pysawsim.histogram.Histogram-compatible histogram>
+ #HISTOGRAM: <other histogram-specific params>
+ <another pysawsim.histogram.Histogram-compatible histogram>
+ ...
>>> import sys
>>> stream = StringIO(EXAMPLE_HISTOGRAM_FILE_CONTENTS)
return '%s %s' % (
self.param_format_string % tuple(params), hist_params)
- def get_all_unfolding_data(self, dirname, velocity_string):
- datafile = os.path.join(dirname, "data_" + velocity_string)
- return numpy.fromfile(datafile, sep=" ")
-
- sawsim_histograms = {}
- for velocity in velocities:
- unfolding_forces = self.get_all_unfolding_data(dirname, str(velocity))
- bin_edges = histograms[velocity].bin_edges
- h = Histogram()
- h.from_data(unfolding_forces, bin_edges)
- sawsim_histograms[velocity] = h
- sawsim_histograms[velocity].normalize()
- return sawsim_histograms
-
- def _residual(self, params):
+ def residual(self, params):
residual = 0
for hist_params,experiment_hist in self.experiment_histograms.iteritems():
sawsim_hist = sawsim_histogram(
self._plot_residual_comparison(
experiment_hist, sawsim_hist, residual=r,
title=title, filename=filename)
- log().debug('residual: %g' % residual)
+ log().debug('residual %s: %g' % (params, residual))
return residual
def plot(self, param_ranges, logx=False, logy=False, contour=False):
log().info('point %d %d (%d of %d)'
% (i, j, i*(len(y)-1) + j, (len(x)-1)*(len(y)-1)))
params = (xi,yj)
- r = self._residual(params)
+ r = self.residual(params)
C[j,i] = numpy.log(r) # better resolution in valleys
if MEM_DEBUG == True:
log().debug('RSS: %d KB' % rss())
>>> parse_param_ranges_string('[1,2,3],[4,5,6]')
[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]
+ >>> parse_param_ranges_string('[1,2,3]')
+ [[1.0, 2.0, 3.0]]
"""
ranges = []
for range_string in string.split("],["):
>>> f = tempfile.NamedTemporaryFile()
>>> f.write(EXAMPLE_HISTOGRAM_FILE_CONTENTS)
>>> f.flush()
- >>> main(['-s', 'bin/sawsim',
- ... '-r', '[1e-5,1e-3,3],[0.1e-9,1e-9,3]',
+ >>> main(['-r', '[1e-5,1e-3,3],[0.1e-9,1e-9,3]',
... '-N', '2',
... f.name])
>>> f.close()
if option.dest == 'param_string':
continue
parser.add_option(option)
- parser.add_option("-f","--param-format", dest="param_format",
- metavar="FORMAT",
- help="Convert params to sawsim options (%default).",
+ parser.add_option('-f','--param-format', dest='param_format',
+ metavar='FORMAT',
+ help='Convert params to sawsim options (%default).',
default=('-s cantilever,hooke,0.05 -N1 -s folded,null -N8 -s "unfolded,wlc,{0.39e-9,28e-9}" -k "folded,unfolded,bell,{%g,%g}" -q folded'))
- parser.add_option("-p","--initial-params", dest="initial_params",
- metavar="PARAMS",
- help="Initial params for fitting (%default).",
+ parser.add_option('-p','--initial-params', dest='initial_params',
+ metavar='PARAMS',
+ help='Initial params for fitting (%default).',
default='3.3e-4,0.25e-9')
- parser.add_option("-r","--param-range", dest="param_range",
- metavar="PARAMS",
- help="Param range for plotting (%default).",
+ parser.add_option('-r','--param-range', dest='param_range',
+ metavar='PARAMS',
+ help='Param range for plotting (%default).',
default='[1e-5,1e-3,20],[0.1e-9,1e-9,20]')
- parser.add_option("-R","--residual", dest="residual",
- metavar="STRING",
- help="Residual type (from 'jensen-shannon', 'chi-squared', 'mean', 'std-dev'; default: %default).",
+ parser.add_option('--logx', dest='logx',
+ help='Use a log scale for the x range.',
+ default=False, action='store_true')
+ parser.add_option('--logy', dest='logy',
+ help='Use a log scale for the y range.',
+ default=False, action='store_true')
+ parser.add_option('-R','--residual', dest='residual',
+ metavar='STRING',
+ help='Residual type (from %s; default: %%default).'
+ % ', '.join(Histogram().types()),
default='jensen-shannon')
- parser.add_option("-P","--plot-residuals", dest="plot_residuals",
- help="Generate residual difference plots for each point in the plot range.",
- default=False, action="store_true")
- parser.add_option("--logx", dest="logx",
- help="Use a log scale for the x range.",
- default=False, action="store_true")
- parser.add_option("--logy", dest="logy",
- help="Use a log scale for the y range.",
- default=False, action="store_true")
- parser.add_option("-c","--contour-plot", dest="contour_plot",
- help="Select contour plot (vs. the default pseudocolor plot).",
- default=False, action="store_true")
+ parser.add_option('-P','--plot-residuals', dest='plot_residuals',
+ help='Generate residual difference plots for each point in the plot range.',
+ default=False, action='store_true')
+ parser.add_option('-c','--contour-plot', dest='contour_plot',
+ help='Select contour plot (vs. the default pseudocolor plot).',
+ default=False, action='store_true')
options,args = parser.parse_args(argv)
initial_params = [float(p) for p in options.initial_params.split(",")]
param_ranges = parse_param_ranges_string(options.param_range)
- velocity_file = args[0]
+ histogram_file = args[0]
sr_call_params = sr.initialize_from_options(options)
try:
hm = HistogramMatcher(
- file(velocity_file, 'r'), param_format_string=options.param_format,
+ file(histogram_file, 'r'),
+ param_format_string=options.param_format,
sawsim_runner=sr, residual_type=options.residual,
plot=options.plot_residuals, **sr_call_params)
#hm.fit(initial_params)
projects / sawsim.git / blobdiff