def _data_files():
from os.path import dirname as _dirname
yield 'share/solaar/icons', _glob('share/solaar/icons/solaar*.svg')
yield 'share/solaar/icons', _glob('share/solaar/icons/light_*.png')
yield 'share/icons/hicolor/scalable/apps', ['share/solaar/icons/solaar.svg']
for mo in _glob('share/locale/*/LC_MESSAGES/solaar.mo'):
yield _dirname(mo), [mo]
yield 'share/applications', ['share/applications/solaar.desktop']
yield autostart_path, ['share/applications/solaar.desktop']
del _dirname
def _gif_spam():
"""
Opens a tkLabel frame that animates the Nedry_0*.gif files onto
the screen, simulating an animated gif.
:return: returns on window close
"""
pics = [_join(_PATH, i) for i in _glob(_PATH, '*.gif')]
root = _tk.Tk()
label = _tk.Label(root)
label.pack(padx=10, pady=10)
# store as tk img_objects
pictures = _it.cycle(
_tk.PhotoImage(file=img_name) for img_name in pics)
# milliseconds
delay = 150
def animate():
""" cycle through """
img = next(pictures)
label["image"] = img
root.after(delay, animate)
animate()
root.mainloop()
def glob(path):
def f(p):
if isdir(p):
return p + "/"
return p
return [path for path in map(f, _glob(path)) if not re.search(r"\.py[co]$", path)]
def chmod_xr(pattern):
print('Setting as executable')
files = _glob(pattern)
for f in files:
print(f)
st = _os.stat(f)
_os.chmod(f, st.st_mode | _stat.S_IXUSR | _stat.S_IRUSR)
def _data_files():
from os.path import dirname as _dirname
yield 'share/solaar/icons', _glob('share/solaar/icons/solaar*.svg')
yield 'share/solaar/icons', _glob('share/solaar/icons/light_*.png')
yield 'share/icons/hicolor/scalable/apps', [
'share/solaar/icons/solaar.svg'
]
for mo in _glob('share/locale/*/LC_MESSAGES/solaar.mo'):
yield _dirname(mo), [mo]
yield 'share/applications', ['share/applications/solaar.desktop']
yield autostart_path, ['share/applications/solaar.desktop']
del _dirname
def verify_conversion(glob_pattern,
target_dir,
reference_ext,
tmpdir_root=_tempfile.gettempdir(),
processes=None):
from .validate import validate_converted_files_match
if not glob_pattern.endswith(reference_ext):
glob_pattern = glob_pattern + reference_ext
file_sets_by_ext = {
ext: _glob(_os.path.join(target_dir, glob_pattern + ext))
for ext in SUPPORTED_EXTENSIONS
}
matches = {
path.replace(ext, "")
for ext, path in file_sets_by_ext[reference_ext]
}
for ext, paths in file_sets_by_ext.items():
if ext == reference_ext:
continue
matches &= {path.replace(ext, "") for ext, path in paths}
other_exts = set(SUPPORTED_EXTENSIONS) - {
reference_ext,
}
errors = {}
with tqdm.tqdm(total=(len(matches) * len(SUPPORTED_EXTENSIONS) - 1),
leave=False) as t:
with _Executor(max_workers=processes) as executor:
for other_ext in other_exts:
verify_fn = lambda fn: validate_converted_files_match(
ref_ext=reference_ext, subject=fn + other_ext)
for fn, missing, matching in executor.map(verify_fn, matches):
if missing or mismatching:
errors[fn] = str(ConversionError(missing, mismatching))
return errors
def chmod_xr(pattern):
print('Setting as executable')
files = _glob(pattern)
for f in files:
print(f)
st = _os.stat(f)
_os.chmod(f, st.st_mode | _stat.S_IXUSR | _stat.S_IRUSR)
def prep_python_2(pattern):
print('Ensuring python2 is called . . .')
# could try here?
files = _glob(pattern)
for f in files:
print(f)
fixed = open(f).read().replace('python ','python2 ')
open(f,'w').write(fixed)
def prep_python_2(pattern):
print('Ensuring python2 is called . . .')
# could try here?
files = _glob(pattern)
for f in files:
print(f)
fixed = open(f).read().replace('python ', 'python2 ')
open(f, 'w').write(fixed)
def glob(pathname, recursive=False):
if recursive and '**' in pathname:
import warnings
warnings.warn(
'This version of python (%s) does not support recursive import'
% sys.version)
from glob import glob as _glob
return _glob(pathname)
def _data_files():
from os.path import dirname as _dirname
yield 'share/solaar/icons', _glob('share/solaar/icons/solaar*.svg')
yield 'share/solaar/icons', _glob('share/solaar/icons/light_*.png')
yield 'share/icons/hicolor/scalable/apps', [
'share/solaar/icons/solaar.svg'
]
for mo in _glob('share/locale/*/LC_MESSAGES/solaar.mo'):
yield _dirname(mo), [mo]
yield 'share/applications', ['share/applications/solaar.desktop']
yield autostart_path, ['share/autostart/solaar.desktop']
yield '/etc/udev/rules.d', ['rules.d/42-logitech-unify-permissions.rules']
del _dirname
def get_file_or_nothing(path, glob_pattern) -> _typing.Union[str, None]:
prev_path = get_cur_dir_path()
_os.chdir(path)
file = (list(_glob(glob_pattern)) or [None])[0]
if file is not None:
file = f"{path}/{file}"
_os.chdir(prev_path)
return file
def msh_completer(text, state):
options, matches = [], []
## Files Completions
for files in _glob(text + "*"): options.append(files)
## Programs Completions
for progsDirectory in _msh_os.environ["PATH"].split(":"):
for programs in _glob(progsDirectory + "/*"): options.append(_msh_os.path.basename(programs))
## Builtin Programs Completions
for builtins in programlist: options.append(builtins)
if text:
for chars in options:
if chars[:len(text)] == text: matches += [chars]
return matches[state]
def resubmit(sample, dryrun=False, quiet=False):
"""
Check the dag status file of the sample for failed jobs. If any, submit
the rescue dag files to farmoutAnalysisJobs.
Sample should be a path to the submit directory.
"""
statusDag = '%s/dags/dag.status' % sample
pattern = _reCompile(r'Nodes(?P<status>[A-Za-z]+) = (?P<nNodes>\d+)')
results = {}
try:
with open(statusDag, 'r') as f:
for line in f:
# we only care about the summary block, which is first
if ']' in line:
break
match = pattern.search(line)
if match:
results[match.group('status')] = int(match.group("nNodes"))
except IOError:
_log.error(
"Unable to find DAG status file for {} -- did it get submitted?".
format(sample))
raise
try:
total = results['Total']
succeeded = results['Done']
failed = results['Failed']
inProgress = results['Pre'] + results['Post'] + results['Queued'] + \
results['Ready']
ignore = results['Unready'] # email job or something
except KeyError:
_log.error("DAG status file {} is broken somehow".format(statusDag))
raise
if failed or not quiet:
_log.info(' ' + sample)
_log.info(
" Total: {0} Done: {1} Queued: {2} Failed: {3}".format(
total - ignore, succeeded, inProgress, failed))
if inProgress and (failed or not quiet):
_log.info(" Not done, try again later")
elif failed:
_log.info(" Resubmitting...")
rescue_dag = max(
_glob('{}/dags/*dag.rescue[0-9][0-9][0-9]'.format(sample)))
_log.info(' Rescue file: {0}'.format(rescue_dag))
if not dryrun:
cmd = 'farmoutAnalysisJobs --rescue-dag-file={}'.format(rescue_dag)
_bash(cmd)
return succeeded, failed, inProgress
def ReadData(paths, delim=None):
"""
ReadData requires list of wild card paths, read in each set and store in master data frame
"""
merged = _DataFrame()
for indexa, elem in enumerate(paths):
files = sorted(_glob(elem))
allR, m1 = ReadFilesToDF(files, delim=delim)
merged[indexa] = m1[0]
return merged
def list():
"""Return a list of the available nodes."""
# Glob all Python scripts in the _nodes directory.
nodes = _glob("%s/*.py" % _node_dir)
# Strip the extension.
nodes = [_os.path.basename(x).split(".py")[0] for x in nodes]
return nodes
def glob(self, pathname, *args, **kwargs):
"""Return a list of paths matching `pathname`.
This method is equivalent to :func:`python:glob.glob`, but searches with
relative paths will be performed relative to the working directory
of the workflow.
"""
if not os.path.isabs(pathname):
pathname = os.path.join(self.working_dir, pathname)
return _glob(pathname, *args, **kwargs)
def __init__(self):
_dir, _ = __file__.split("__init__.py")
pyFiles = _glob(_dir + "*.py")
for file in pyFiles:
_, fileName = file.split(_dir)
if fileName.startswith("engine_"):
engine, _ = fileName.split(".py")
setattr(self, engine.split("engine_")[1], engine)
def upload_record_files(files_to_upload, progress=False):
"""
Upload a list of .xml files (or all .xml files in the current directory)
to the NexusLIMS CDCS instance using :py:meth:`upload_record_content`
Parameters
----------
files_to_upload : list or None
The list of .xml files to upload. If ``None``, all .xml files in the
current directory will be used instead.
progress : bool
Whether or not to show a progress bar for uploading
Returns
-------
files_uploaded : list of str
A list of the files that were successfully uploaded
record_ids : list of str
A list of the record id values (onthe server) that were uploaded
"""
if files_to_upload is None:
_logger.info('Using all .xml files in this directory')
files_to_upload = _glob('*.xml')
else:
_logger.info('Using .xml files from command line')
_logger.info(f'Found {len(files_to_upload)} files to upload\n')
if len(files_to_upload) == 0:
msg = 'No .xml files were found (please specify on the ' \
'command line, or run this script from a directory ' \
'containing one or more .xml files'
_logger.error(msg)
raise ValueError(msg)
files_uploaded = []
record_ids = []
for f in _tqdm(files_to_upload) if progress else files_to_upload:
with open(f, 'r') as xml_file:
xml_content = xml_file.read()
title = _os.path.basename(f)
r, record_id = upload_record_content(xml_content, title)
if r.status_code != 201:
_logger.warning(f'Could not upload {title}')
continue
else:
files_uploaded.append(f)
record_ids.append(record_id)
_logger.info(f'Successfully uploaded {len(files_uploaded)} of '
f'{len(files_to_upload)} files')
return files_uploaded, record_ids
def sample_shots( # pylint: disable=too-many-arguments
input_folder,
out_folder,
num_shots_per_body=7,
only_missing=False,
num_threads=-1,
use_light=False,
factor=1.):
"""Sample body images with visibilities."""
_LOGGER.info("Sampling 3D body shots.")
if num_threads == -1:
num_threads = available_cpu_count()
else:
assert num_threads > 0
if not _path.exists(out_folder):
_os.mkdir(out_folder)
_np.random.seed(1)
bodies = _glob(_path.join(input_folder, '*.pkl'))
_LOGGER.info("%d bodies detected.", len(bodies))
with _pymp.Parallel(num_threads, if_=num_threads > 1) as p:
for body_idx in p.iterate(tqdm.tqdm(range(len(bodies)))):
body_filename = bodies[body_idx]
vis_filename = body_filename + '_vis_overlay.png'
vis_filename = body_filename + '_vis.png'
if not _os.path.exists(vis_filename):
vis_filename = body_filename + '_vis_0.png'
if not _os.path.exists(vis_filename):
# Try something else.
vis_filename = body_filename[:-9]
out_names = [
_os.path.join(
out_folder,
_path.basename(body_filename) + '.' + str(map_idx) +
'.png') for map_idx in range(num_shots_per_body)
]
if only_missing:
all_exist = True
for fname in out_names:
if not _path.exists(fname):
all_exist = False
break
if all_exist:
continue
vis_im = _cv2.imread(vis_filename)
assert vis_im is not None, 'visualization not found: %s' % (
vis_filename)
renderings = render_body_impl(body_filename,
[vis_im.shape[1], vis_im.shape[0]],
num_shots_per_body,
quiet=False,
use_light=use_light,
factor=factor)
for map_idx, vmap in enumerate(renderings):
_cv2.imwrite(out_names[map_idx], vmap[:, :, ::-1])
_LOGGER.info("Done.")
def get_files_by_pattern(pattern: str, path: _typing.Optional[str] = None):
prev_path = None
if path is not None:
prev_path = get_cur_dir_path()
_os.chdir(path)
files = _glob(pattern)
if prev_path is not None:
_os.chdir(prev_path)
return files
def show_id_results(idname):
idlist = search_IDlist(idname)
if len(idlist) == 0:
return
bdb = _glob('BeDB/*.bdb')
for db in bdb:
idb = _np.loadtxt(db, dtype=str, delimiter=', ')
for i in range(len(idb)):
if idb[i, 0] in idlist:
print('{0}:\n{1}\n'.format(db, idb[i]))
return
def __init__(self, img_dir, file_extension="jpg"):
"""
Create a new image loader that reads all the images with specified file extension in a given directory.
Args:
img_dir: Directory to be searched.
file_extension: Desired extension of files to be loaded.
"""
local = locals().copy()
paths = sorted(_glob(_os.path.join(img_dir, f"*.{file_extension}")))
BasicImageFileLoader.__init__(self, paths)
self.args = self._prepare_args(local)
def __init__(self, gt_dir, getter, file_extension="mat"):
"""
Create a loader that searches for files with specified extension in a given directory and loads them.
Args:
gt_dir: Directory to be searched.
file_extension: Desired file extension of Matlab files.
"""
local = locals().copy()
paths = sorted(_glob(_os.path.join(gt_dir, f"*.{file_extension}")))
BasicGTPointsMatFileLoader.__init__(self, paths, getter)
self.args = self._prepare_args(local)
def __init__(self, den_map_dir, file_extension="csv"):
"""
Create a loader that searches for files with the given extension in the given directory and loads them.
Args:
den_map_dir: Directory to be searched.
file_extension: Desired extension of files to be loaded.
"""
local = locals().copy()
paths = sorted(_glob(_os.path.join(den_map_dir, f"*.{file_extension}")))
BasicDensityMapCSVFileLoader.__init__(self, paths)
self.args = self._prepare_args(local)
def _data_files():
from os.path import dirname as _dirname
yield 'share/solaar/icons', _glob('share/solaar/icons/solaar*.svg')
yield 'share/solaar/icons', _glob('share/solaar/icons/light_*.png')
yield 'share/icons/hicolor/scalable/apps', [
'share/solaar/icons/solaar.svg'
]
for mo in _glob('share/locale/*/LC_MESSAGES/solaar.mo'):
yield _dirname(mo), [mo]
yield 'share/applications', ['share/applications/solaar.desktop']
yield 'share/solaar/udev-rules.d', [
'rules.d/42-logitech-unify-permissions.rules'
]
yield 'share/metainfo', [
'share/solaar/io.github.pwr_solaar.solaar.metainfo.xml'
]
del _dirname
def readFiles(path, spectra, frmt="spc", **kwargs):
files = _glob(f"{path}/*.{frmt}")
for file_pathname in files:
# If it's the same file change the configuration
if (file_pathname == files[0]):
_setPreValues()
readFile(file_pathname, spectra, **kwargs)
# Otherwise
if (file_pathname == files[-1]):
_removePreValues()
def resubmit(sample, dryrun=False, quiet=False):
"""
Check the dag status file of the sample for failed jobs. If any, submit
the rescue dag files to farmoutAnalysisJobs.
Sample should be a path to the submit directory.
"""
statusDag = '%s/dags/dag.status' % sample
pattern = _reCompile(r'Nodes(?P<status>[A-Za-z]+) = (?P<nNodes>\d+)')
results = {}
try:
with open(statusDag, 'r') as f:
for line in f:
# we only care about the summary block, which is first
if ']' in line:
break
match = pattern.search(line)
if match:
results[match.group('status')] = int(match.group("nNodes"))
except IOError:
_log.error("Unable to find DAG status file for {} -- did it get submitted?".format(sample))
raise
try:
total = results['Total']
succeeded = results['Done']
failed = results['Failed']
inProgress = results['Pre'] + results['Post'] + results['Queued'] + \
results['Ready']
ignore = results['Unready'] # email job or something
except KeyError:
_log.error("DAG status file {} is broken somehow".format(statusDag))
raise
if failed or not quiet:
_log.info(' ' + sample)
_log.info(" Total: {0} Done: {1} Queued: {2} Failed: {3}".format(total-ignore,succeeded,inProgress,failed))
if inProgress and (failed or not quiet):
_log.info(" Not done, try again later")
elif failed:
_log.info(" Resubmitting...")
rescue_dag = max(_glob('{}/dags/*dag.rescue[0-9][0-9][0-9]'.format(sample)))
_log.info(' Rescue file: {0}'.format(rescue_dag))
if not dryrun:
cmd = 'farmoutAnalysisJobs --rescue-dag-file={}'.format(rescue_dag)
_bash(cmd)
return succeeded, failed, inProgress
def read_only_average_all(measurepath):
averdict = {}
for output in _glob(measurepath+'/*average*'):
split = _os.path.split(output)[-1].split('.npy')[0].split('_')
with open(output,'r') as f:
myarr = _np.load(f)
if '2x' in split[0]:
print(split[0][2:])
beta=2*float(split[0][2:])
else:
beta=float(split[0])
averdict[(beta,split[-1])] = myarr
return averdict
def transmute(in_file, out_ext, out_folder=None, processes=None, **kw):
if not out_folder:
out_folder = _os.path.dirname(in_file) or _os.getcwd()
flist = set(_glob(in_file))
if in_file.endswith('.tar.bz2'):
flist = flist - set(_glob(in_file.replace('.tar.bz2', out_ext)))
elif in_file.endswith('.conda'):
flist = flist - set(_glob(in_file.replace('.conda', out_ext)))
failed_files = {}
with _tqdm.tqdm(total=len(flist), leave=False) as t:
with _Executor(max_workers=processes) as executor:
convert_f = _functools.partial(_convert, out_ext=out_ext,
out_folder=out_folder, **kw)
for fn, out_fn, errors in executor.map(convert_f, flist):
t.set_description("Converted: %s" % fn)
t.update()
if errors:
failed_files[fn] = errors
_rm_rf(out_fn)
return failed_files
def _find_locale_path(lc_domain): import os.path as _path import sys as _sys prefix_share = _path.normpath(_path.join(_path.realpath(_sys.path[0]), '..')) src_share = _path.normpath(_path.join(_path.realpath(_sys.path[0]), '..', 'share')) del _sys from glob import glob as _glob for location in prefix_share, src_share: mo_files = _glob(_path.join(location, 'locale', '*', 'LC_MESSAGES', lc_domain + '.mo')) if mo_files: return _path.join(location, 'locale')
def _find_locale_path(lc_domain):
import os.path as _path
import sys as _sys
prefix_share = _path.normpath(_path.join(_path.realpath(_sys.path[0]), '..'))
src_share = _path.normpath(_path.join(_path.realpath(_sys.path[0]), '..', 'share'))
del _sys
from glob import glob as _glob
for location in prefix_share, src_share:
mo_files = _glob(_path.join(location, 'locale', '*', 'LC_MESSAGES', lc_domain + '.mo'))
if mo_files:
return _path.join(location, 'locale')
def _init_filters():
"""Initialise and register HDF5 filters with h5py
Generator of tuples: (filename, library handle)
"""
hdf5_version = _h5py.h5.get_libversion()
for name, filter_id in FILTERS.items():
# Skip filters that were not embedded
if name not in config.embedded_filters:
_logger.debug("%s filter not available in this build of hdf5plugin.", name)
continue
# Check if filter is already loaded (not on buggy HDF5 versions)
if (1, 8, 20) <= hdf5_version < (1, 10) or hdf5_version >= (1, 10, 2):
if _h5py.h5z.filter_avail(filter_id):
_logger.info("%s filter already loaded, skip it.", name)
continue
# Load DLL
filename = _glob(_os.path.join(
PLUGIN_PATH, 'libh5' + name + '*' + config.filter_file_extension))
if len(filename):
filename = filename[0]
else:
_logger.error("Cannot initialize filter %s: File not found", name)
continue
try:
lib = _ctypes.CDLL(filename)
except OSError:
_logger.error("Failed to load filter %s: %s", name, filename)
continue
if _sys.platform.startswith('win'):
# Use register_filter function to register filter
lib.register_filter.restype = _ctypes.c_int
retval = lib.register_filter()
else:
# Use init_filter function to initialize DLL and register filter
lib.init_filter.argtypes = [_ctypes.c_char_p]
lib.init_filter.restype = _ctypes.c_int
retval = lib.init_filter(
bytes(_h5py.h5z.__file__, encoding='utf-8'))
if retval < 0:
_logger.error("Cannot initialize filter %s: %d", name, retval)
continue
yield filename, lib
def __init__(self):
# Any engine module *must* follow the naming convention: engine_foo.py
# If the engine is found, it will be linked via setattr to be imported
# in DEM.py as PyGran.simulation.engine_foo. The engine is set by the user
# as DEM.simulation.engines.foo
_dir, _ = __file__.split('__init__.py')
pyFiles = _glob(_dir + '*.py')
for file in pyFiles:
_, fileName = file.split(_dir)
if fileName.startswith('engine_'):
engine, _ = fileName.split('.py')
setattr(self, engine.split('engine_')[1], engine)
def __init__(self):
# Any engine module *must* follow the naming convention: engine_foo.py
# If the engine is found, it will be linked via setattr to be imported
# in DEM.py as PyGran.simulation.engine_foo. The engine is set by the user
# as DEM.simulation.engines.foo
_dir, _ = __file__.split('__init__.py')
pyFiles = _glob(_dir + '*.py')
for file in pyFiles:
_, fileName = file.split(_dir)
if fileName.startswith('engine_'):
engine, _ = fileName.split('.py')
setattr(self, engine.split('engine_')[1], engine)
def generate_submit_dirs(jobids):
'''
Make a list of submit directories from an input argument.
If two or more forward slashes ('/') appear in a jobid, it is interpreted
as a path to a submit directory (which is resubmitted) or directory
containing submit directories, all of which are resubmitted.
If there are no forward slashes, it is interpreted as a jobid, and its
submit directories are found in /<submit_base>/<username>/jobid, where
<submit_base> is '/data' on uwlogin and '/nfs_scratch' on login0*, and
all subdirectories are resubmitted.
If there is exactly one forward slash, it is considered a jobid/sample pair
and the sample is resubmitted.
Either way, UNIX-style wildcards are allowed.
'''
dirs = []
if 'uwlogin' in _hostname():
scratch = '/data'
else:
scratch = '/nfs_scratch'
user = _env['USER']
for job in jobids:
if job.count('/') > 1: # full path
unixPath = job
else: # jobid or jobid/sample
unixPath = _join(scratch, user, job)
subdirs = _glob('%s/*' % unixPath)
if any('dags' in s for s in subdirs): # this is a sample
dirs += _glob(unixPath)
else:
dirs += subdirs
return dirs
def run(input_files=[], target=None, force_conversion=True, verbose=True):
if target is None:
target = DEFAULT_TARGET
for pathpat in input_files:
for path in _glob(pathpat):
try:
process_file(path, target, force_conversion=force_conversion,
verbose=verbose)
except ProcessingError as e:
print(f"***{e}", file=_sys.stderr, flush=True)
continue
except:
_print_exc()
print(f"***failed to process: {path}", file=_sys.stderr, flush=True)
continue
def generate_submit_dirs(jobids):
'''
Make a list of submit directories from an input argument.
If two or more forward slashes ('/') appear in a jobid, it is interpreted
as a path to a submit directory (which is resubmitted) or directory
containing submit directories, all of which are resubmitted.
If there are no forward slashes, it is interpreted as a jobid, and its
submit directories are found in /<submit_base>/<username>/jobid, where
<submit_base> is '/data' on uwlogin and '/nfs_scratch' on login0*, and
all subdirectories are resubmitted.
If there is exactly one forward slash, it is considered a jobid/sample pair
and the sample is resubmitted.
Either way, UNIX-style wildcards are allowed.
'''
dirs = []
if 'uwlogin' in _hostname():
scratch = '/data'
else:
scratch = '/nfs_scratch'
user = _env['USER']
for job in jobids:
if job.count('/') > 1: # full path
unixPath = job
else: # jobid or jobid/sample
unixPath = _join(scratch, user, job)
subdirs = _glob('%s/*' % unixPath)
if any('dags' in s for s in subdirs): # this is a sample
dirs += _glob(unixPath)
else:
dirs += subdirs
return dirs
def read_only_correlation_with_all(measurepath):
averdict = {}
for output in _glob(measurepath+'/*correlation*with_all*'):
filename = _os.path.split(output)[-1].split('.npy')[0]
splitting = filename.split('_correlation_')
beta = float(splitting[0])
splitting = splitting[-1].split('_with_all_')
obsnameB = splitting[-1]
splitting = splitting[0].split('_')
obsnameA = splitting[0]
posiA = int(splitting[1])
timeA = float(splitting[2])
with open(output,'r') as f:
myarr = _np.load(f)
averdict[(beta,obsnameA,posiA,timeA,obsnameB)] = myarr
return averdict
def _common_loader(names, folder, info):
"""
Outsourced some common loader code.
Parameters
----------
names : list of str, None or 'all'
See explicit loaders.
folder : string
Full path to folder from where to load the data.
info : str
Info for print.
Returns
-------
data : dict
See explicit loader returns.
"""
files = sorted(_glob(_os.path.join(folder, "*")))
file_names = map(lambda s: _os.path.splitext(_os.path.basename(s))[0],
files)
if names is None:
return file_names
else:
if names == "all":
names = file_names
elif not isinstance(names, list):
names = [names]
data = {}
for name in names:
idx = file_names.index(name)
fname = files[idx]
print("Load {} for sample {} from:\n {}".format(info, name, fname))
ext = _os.path.splitext(fname)[1]
if ext == ".npy":
data[name] = _np.load(fname)
elif ext == ".json":
with open(fname) as json_file:
data[name] = _json.load(json_file)
else:
raise ValueError(
"Couldn't load unknown datatype: '{}'".format(ext))
return data
def createBAsed(fsedlist, xdrpath, lbdarr, param=True, savetxt=False,
ignorelum=False, pol=False, saveextra=None):
""" Create the BeAtlas SED XDR release.
WARNING: The file names must be in this format:
`mod01_PLn3.5_sig0.00_h072_Rd000.0_Be_M14.60_ob1.45_H0.77_Z0.014_bE_Ell`
| The file structure:
| -n_quantities, n_lbd, n_models,
| -n_qt_vals1, n_qt_vals2, .. n_qt_valsn
| -quantities values = M, ob(W), Z, H, sig, Rd, h, *n*, cos(i).
| -(Unique) lbd array
| -Loop:
| *model values
| *model SED
| Definitions:
| -photospheric models: sig0 = 0.00
| -Parametric disk model default (`param` == True)
| -VDD-ST models: n excluded (alpha and R0 fixed. Confirm?)
| -The flux will be given in ergs/s/um2/um. If ignorelum==True, the usual
| F_lbda/F_bol unit will be given.
Since the grid is not symmetric, there is no index to jump directly to the
desired model. So the suggestion is to use the index matrix, or read the
file line by line until find the model (if exists).
:Example:
def genxdr(xdrname='PL.xdr', param=True, pol=False):
fs2l = glob('fullsed/*.sed2')
print('# Using {0} as reference!'.format(fs2l[0]))
lbdarr = hdt.readfullsed2(fs2l[0])
lbdarr = lbdarr[0, :, 2]
nm, listpar = bat.fsedList(fs2l)
bat.createBAsed(fs2l, xdrname, lbdarr, param=param, savetxt=False,
pol=pol, saveextra=xdrname.replace('xdr', 'txt'))
return
genxdr(xdrname='Yudin_PL.xdr')
"""
fsedlist.sort()
nq = 9
if not param:
nq = 8
nm, listpar = fsedList(fsedlist, param=param)
header2 = []
for vals in listpar:
header2 += [len(vals)]
nlb = len(lbdarr)
header1 = [nq, nlb, nm]
models = _np.zeros((nm, nlb))
minfo = _np.zeros((nm, nq))
k = 0
iflx = 3
if pol:
iflx = 7
for i in range(len(fsedlist)):
mod = BAmod(fsedlist[i])
# Select only `param` matching cases:
if mod.param == param:
sed2data = _hdt.readfullsed2(fsedlist[i])
iL = 1.
dist = 1/_np.sqrt(4 * _np.pi)
if not ignorelum and not pol:
j = fsedlist[i].find('fullsed_mod')
# modn = fsedlist[i][j + 11:j + 13]
modn = _re.match(r'.*mod(\d+)_', fsedlist[i]).group(1)
log = fsedlist[i].replace('fullsed_mod', '../mod{0}/mod'.
format(modn)).replace('.sed2', '.log')
if not _os.path.exists(log):
log = _glob(log.replace('../mod{0}/mod'.format(modn),
'../mod{0}/*mod'.format(modn)))
if len(log) >= 1:
log = log[0]
else:
raise LookupError('# No log file found for {0}'.
format(fsedlist[i]))
f0 = open(log)
lines = f0.readlines()
f0.close()
iL = _phc.fltTxtOccur('L =', lines) * _phc.Lsun.cgs
if saveextra is not None:
R_pole = _phc.fltTxtOccur('R_pole =', lines)
Vrot = _phc.fltTxtOccur('Vrot', lines)
f0 = open(saveextra, 'a')
f0.writelines('{0}\t{1}\t{2}\n'.format(R_pole, Vrot, iL))
f0.close()
dist = 10. * _phc.pc.cgs
for j in range(header2[-1]):
# M, ob(W), Z, H, sig, Rd, h, *n*, cos(i).
if param:
minfo[k * header2[-1] + j] = _np.array([ mod.M, mod.ob,
mod.Z, mod.H, mod.sig, mod.Rd, mod.h, mod.n,
listpar[-1][j] ]).astype(float)
else:
minfo[k * header2[-1] + j] = _np.array([ mod.M, mod.ob,
mod.Z, mod.H, mod.sig, mod.Rd, mod.h,
listpar[-1][j] ]).astype(float)
if len(sed2data[j, :, 2]) != nlb:
models[k * header2[-1] + j] = _np.interp(lbdarr,
sed2data[j, :, 2], sed2data[j, :, iflx]) * iL / 4 / \
_np.pi / dist**2
else:
models[k * header2[-1] + j] = sed2data[j, :, iflx] * \
iL / 4 / _np.pi / dist**2
if _np.sum(_np.isnan(models[k * header2[-1] + j])) > 0:
nans, x = _phc.nan_helper(models[k * header2[-1] + j])
models[k * header2[-1] + j][nans] = _np.interp(x(nans),
x(~nans), models[k * header2[-1] + j][~nans])
k += 1
#
f0 = open(xdrpath, 'wb')
stfmt = '>{0}l'.format(3)
f0.write(_struct.pack(stfmt, *header1))
stfmt = '>{0}l'.format(nq)
f0.write(_struct.pack(stfmt, *header2))
for vals in listpar:
stfmt = '>{0}f'.format(len(vals))
f0.write(_struct.pack(stfmt, *_np.array(vals).astype(float)))
stfmt = '>{0}f'.format(nlb)
f0.write(_struct.pack(stfmt, *_np.array(lbdarr).astype(float)))
for i in range(nm):
stfmt = '>{0}f'.format(nq)
f0.write(_struct.pack(stfmt, *minfo[i]))
stfmt = '>{0}f'.format(nlb)
f0.write(_struct.pack(stfmt, *_np.array(models[i]).astype(float)))
f0.close()
print('# XDR file {0} saved!'.format(xdrpath))
if savetxt:
f0 = open(xdrpath + '.txt', 'w')
f0.writelines('{0} \n'.format(header1))
f0.writelines('{0} \n'.format(header2))
for vals in listpar:
f0.writelines('{0} \n'.format(vals))
f0.writelines('{0} \n'.format(lbdarr))
for i in range(nm):
f0.writelines('{0} \n'.format(minfo[i]))
f0.writelines('{0} \n'.format(models[i]))
f0.close()
print('# TXT file {0} saved!'.format(xdrpath + '.txt'))
return
def getFromPath(self, path_to_fastq):
'''
Given a path to pairs of fastq short read files, parse them ready for analysis
with the Bacteria and Archaea Genome (BAG) Analyser.
'''
use_files = []
if isinstance(path_to_fastq, str):
use_paths = [path_to_fastq]
else:
use_paths = path_to_fastq
for path in use_paths:
if _os.path.isdir(path):
print('Checking in {}'.format(path))
# supplied with path to folder - need to check contents
path1 = _os.path.sep.join([path, '*.fastq'])
file_list = _glob(path1)
path2 = _os.path.sep.join([path, '*.fq'])
file_list += _glob(path2)
file_list.sort()
path3 = _os.path.sep.join([path, '*.fastq.gz'])
file_list_gz = _glob(path3)
path4 = _os.path.sep.join([path, '*.fq.gz'])
file_list_gz += _glob(path4)
file_list_gz.sort()
if len(file_list) == 0 and len(file_list_gz) == 0:
print('WARNING: did not find any files at {}, {}, {}, nor {}'.format(path1, path2, path3, path4))
elif len(file_list) == 0 and len(file_list_gz) > 0:
print('Found {} total gzipped fastq files'.format(len(file_list_gz)))
use_files += file_list_gz
elif len(file_list) > 0 and len(file_list_gz) == 0:
print('Found {} total uncompressed fastq files'.format(len(file_list)))
use_files += file_list
else:
print('Found compressed and uncompressed fastq files.\nUsing {} gzipped files'.format(len(file_list_gz)))
# could select from a combination without doubling up . . .
# preference for uncompressed:
# use_files = sorted(list(set(file_list_gz) - set([f+'.gz' for f in file_list])) + file_list)
use_files += file_list_gz
else:
try:
test = open(path, 'r')
test.close()
# part of a list of reads or shell expansion
use_files += [path]
except IOError:
print('WARNING: did not find any files at {}'.format(path))
use_files.sort()
# check potential non-pair files
keep_use_files = []
for f in use_files:
if 'singletons' in f:
print('Assuming {} is not part of a pair: ignoring'.format(f))
continue
keep_use_files += [f]
use_files = keep_use_files
# check filenames for inclusion of known baga downstream files
keep_use_files = []
for f in use_files:
this_suffix = ''
for suffix in ('_subsmp','_adpt','_qual')[::-1]:
this_suffix = suffix + this_suffix
for f2 in use_files:
if f2 != f:
if this_suffix in f2 and f2.replace(this_suffix,'') == f:
error = 'ERROR: {} appears to be a file from a previous baga run that included {}. Try being more specific with the supplied path expansion to read VCFs (i.e., without baga suffixes allowed, e.g. "reads/*_[12].*"), or remove files generated in previous analyses'.format(f2, f)
_sys.exit(error)
keep_use_files += [f]
use_files = keep_use_files
if len(use_files) == 0:
print('Error: could not find any files at {}'.format(', '.join(path_to_fastq)))
print('Please check paths and try again . . .')
_sys.exit(1)
if len(use_files) % 2 != 0:
print('Please supply an even number of paired files. Found {}:\n{}'.format(len(use_files), '\n'.join(use_files)))
_sys.exit(1)
error_explanation = 'Problem parsing read files: ensure pairs are numbered '\
'1 and 2\n'\
'BAGA looks for a "1" or "2" labelling in read pair filenames and takes '\
'the last digit in the filename (excluding the set number if present e.g., '\
'_001.fastq).\n E.g. *R1.fastq.gz and *R2.fastq.gz would be OK, 1_thesereads1'\
'.fastq.gz and 2_thesereads1.fastq.gz would not. (Leading digits OK for sample '\
'numbering: 1_* 2_* 3_* etc but must each have 1 or 2 elsewhere in file '\
'name)\n . . else please report as bug'
# Illumina filename scheme:
# <sample name>_<barcode sequence>_L<lane (0-padded to 3 digits)>_R<read number>_<set number (0-padded to 3 digits>.fastq.gz
# http://support.illumina.com/help/SequencingAnalysisWorkflow/Content/Vault/Informatics/Sequencing_Analysis/CASAVA/swSEQ_mCA_FASTQFiles.htm
# match pairs
filepairs = {}
for path in use_files:
path_bits = path.split(_os.path.sep)
filename_ext = path_bits[-1]
# for now dump set number (if present? not always present?)
# really need to deal with multiple sets and all likely versions of CASAVA filename schemes
# _<set number (0-padded to 3 digits>.f
use_filename_ext = _re.sub('(_[0-9]{3})(\.[fF])', r'\2', filename_ext)
filename, ext = _re.findall('(.+)(\.fastq\.gz|\.fastq|\.fq\.gz|\.fq)$', use_filename_ext)[0]
ones_and_twos = list(_re.finditer('[12]', filename))
assert len(ones_and_twos) > 0, '{}. Problem filename: {}'.format(
error_explanation,
filename)
# make name for each pair that is consistant parts of file name
# joining with space caused problems when incorporating into a filename downstream
# and joining with underscore risks introducing double underscore which would cause splitting on __ later to fail
s,e = ones_and_twos[-1].span()
pairmember = ones_and_twos[-1].group()
# omit the 1 or 2 relevent to pairing from the name
part1,part2 = filename[:s],filename[e:]
if len(part1) and len(part2):
pairname = '-'.join([part1,part2])
elif len(part1) and not len(part2):
pairname = part1
else:
pairname = part2
for known_suffix in ['.fastq.gz','.fq.gz','.fastq','.fq']:
thismatch = _re.findall('('+known_suffix+')$', pairname)
if thismatch:
pairnamenew = _re.sub('('+thismatch[0]+')$', '', pairname)
#print('Removed {} from {} == {}'.format(thismatch, pairname, pairnamenew))
pairname = pairnamenew.rstrip(' ')
continue
# store with keys 1 or 2
try:
filepairs[pairname][int(pairmember)] = path
except KeyError:
filepairs[pairname] = {int(pairmember): path}
# check pairs are accessible
checked_read_files = {}
for pairname,files in filepairs.items():
assert len(files) == 2, '{}. Problem filename(s): {}'.format(
error_explanation, ', '.join(files.values()))
print('Collected pair "{}": {} and {}'.format(
pairname, files[1], files[2]))
try:
if _os.path.getsize(files[1]) == 0:
print('File access fail (empty file): {}'.format(files[1]))
_sys.exit(1)
except OSError:
print('File access fail: {}'.format(files[1]))
_sys.exit(1)
try:
if _os.path.getsize(files[2]) == 0:
print('File access fail (empty file): {}'.format(files[2]))
_sys.exit(1)
except OSError:
print('File access fail: {}'.format(files[2]))
_sys.exit(1)
checked_read_files[pairname] = files
print('Total read pairs: {}'.format(len(checked_read_files)))
self.read_files = checked_read_files
author='Daniel Pavel',
author_email='*****@*****.**',
license='GPLv2',
url='http://pwr.github.io/Solaar/',
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: X11 Applications :: GTK',
'Environment :: Console',
'Intended Audience :: End Users/Desktop',
'License :: DFSG approved',
'License :: OSI Approved :: GNU General Public License v2 (GPLv2)',
'Natural Language :: English',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.2',
'Operating System :: POSIX :: Linux',
'Topic :: Utilities',
],
platforms=['linux'],
# sudo apt install python-gi python3-gi \
# gir1.2-gtk-3.0 gir1.2-notify-0.7 gir1.2-appindicator3-0.1
# os_requires=['gi.repository.GObject (>= 2.0)', 'gi.repository.Gtk (>= 3.0)'],
install_requires=['pyudev (>= 0.13)', ],
package_dir={'': 'lib'},
packages=['hidapi', 'logitech_receiver', 'solaar', 'solaar.ui', 'solaar.cli'],
data_files=list(_data_files()),
scripts=_glob('bin/*'),
)
def get_valid_filename(pathstr,experiment,verbose=False):
# File doesn't exist
# This case must terminate in us trying again.
if verbose:
print 'Input is: pathstr={}, experiment={}'.format(pathstr,experiment)
if not _path.exists(pathstr):
if verbose:
print 'Path does not exist'
# If file didn't exist, maybe it needs a prefix
# Append prefix
prefix = get_remoteprefix()
pathstr = _path.join(prefix,pathstr)
# print prefix
# If it didn't work, we need to find the file somehow
# The prefix may be wrong, the file may not be where we thought,
# or the drive might not have been mounted and we can mount and
# try again.
if not _path.exists(pathstr):
if verbose:
print 'Adding prefix didn''t help, new pathstr={}'.format(pathstr)
title = 'File not found!'
maintext='File doesn''t exist:\n\n{}'.format(pathstr)
subtext='(External drive may not be mounted.)'
buttons=_np.array([
_mtqt.Button('Try again',_QtGui.QMessageBox.AcceptRole),
_mtqt.Button('Change prefix',_QtGui.QMessageBox.ActionRole,default=True),
_mtqt.Button('Locate file',_QtGui.QMessageBox.ActionRole),
_QtGui.QMessageBox.Abort
])
buttonbox=_mtqt.ButtonMsg(maintext,title=title,infotext=subtext,buttons=buttons)
clicked = buttonbox.clickedArray
# Change prefix
if clicked[0]:
if verbose:
print 'Trying again'
elif clicked[1]:
if verbose: print 'Changing prefix'
prefix = _mt.E200.choose_remoteprefix(pathstart=prefix)
# Locate file
elif clicked[2]:
if verbose: print 'Locating file'
# Try to open the path by chopping of the end
while not _path.isdir(pathstr):
lastpath=pathstr
pathstr=_path.dirname(pathstr)
# If you've chopped all you can chop, look in the base data folder
if lastpath==pathstr:
pathstr=_get_datapath()
break
pathstr = _mtqt.getOpenFileName(directory=pathstr,caption='Locate file',filter='Matlab Files (*.mat)')
elif clicked[3]:
if verbose: print 'Aborting'
raise IOError('Aborting')
else:
print 'Thar be dragons!'
if verbose: print 'Trying new pathstr={}'.format(pathstr)
return get_valid_filename(pathstr,experiment)
elif _path.isdir(pathstr):
if verbose: print 'Path is a directory'
patterns=['*scan_info.mat','*filenames.mat','{}_*.mat'.format(experiment)]
files = _np.array([])
for i,val in enumerate(patterns):
gfiles = _glob(_path.join(pathstr,val))
files = _np.append(files,gfiles)
if verbose: print 'Files match patterns\npatterns: {}\nfiles: {}'.format(patterns,files)
if files.size == 1:
if verbose: print 'Found one file.'
pathstr=files[0]
elif files.size == 0:
if verbose: print 'Found no files.'
title = 'File Not Found'
maintext = 'No valid file found in folder.'
subtext = 'Locate manually?'
buttons = _np.array([
_QtGui.QMessageBox.Ok,
_QtGui.QMessageBox.Abort
],dtype=object)
buttonbox = _mtqt.ButtonMsg(maintext,title=title,infotext=subtext,buttons=buttons)
clicked=buttonbox.clickedArray
if clicked[0]:
if verbose: print 'Trying to locate manually.'
pathstr = _mtqt.getOpenFileName(directory=pathstr,caption='Locate file',filter='Matlab Files (*.mat)')
elif clicked[1]:
if verbose: print 'Aborting.'
raise IOError('Aborting')
if verbose: print 'Trying new pathstr={}'.format(pathstr)
return get_valid_filename(pathstr,experiment)
elif _path.isfile(pathstr):
if verbose: print 'Path is a file.'
# Check for string endings
strends = _np.array(['scan_info.mat$','filenames.mat$','{}_[0-9]*\.mat'.format(experiment)])
strmatch = _np.empty(strends.size,dtype=object)
for i,val in enumerate(strends):
strmatch[i] = _re.search(val,pathstr)
# True for matches
strmatch_bool = _np.not_equal(strmatch,None)
# Warn if there are no matches
if not _np.any(strmatch_bool):
if verbose: print 'File doesn''t match patterns={}'.format(strends)
_warnings.warn('Neither a 2014+ data file, scan_info.mat file, nor a filenames.mat file: {}'.format(pathstr))
if strmatch_bool[2]:
data_source_type='2014'
else:
data_source_type='2013'
if verbose: print 'data_source_type is {}'.format(data_source_type)
# Check that this is a data file
# Must have /nas/nas-li20-pm01
match = _re.search('/nas/nas-li20-pm0',pathstr)
if match == None:
raise IOError('Does not point to a file with /nas/nas-li20-pm01 or /nas/nas-li20-pm00 in its path.')
# Get the directories
dirstr = _path.dirname(pathstr)
filename = _path.basename(pathstr)
dir_beg = dirstr[:match.start()]
dir_mid = dirstr[match.start()+1:]
output = (dir_beg,dir_mid,filename,data_source_type)
if verbose: print 'Output is: {}'.format(output)
return output
import os.path as _path, re as _re, sys as _sys, imp as _imp, warnings as _warn
import __fields__
import utilities
#Private
__formats__={}
#Public
format_regex=[]
'''List of file path regular expressions defined by format drivers'''
fields=__fields__.fields
'''List of metadata fields that can be populated'''
debug=False
#Dynamically load all formats
for _lib in _glob(_path.join(__path__[0],'[a-z]*.py')):
_lib=_path.splitext(_path.basename(_lib))[0]
try:
#import custom format and add to the list of formats
__formats__[_lib]=__import__('%s.%s'%(__name__,_lib), fromlist=[__name__])
#append module _format_regex & fields to lists
format_regex.extend([r for r in __formats__[_lib].format_regex if not r in format_regex])
#except:pass
except:
_warn.warn('Unable to import %s\n%s' % (_lib, utilities.ExceptionInfo()))
#import generic formats (eg. GeoTiff, JP2, etc...)
import __default__
#append module _format_regex to list of format regexes
format_regex.extend([_r for _r in __default__.format_regex if not _r in format_regex])
# from metageta import
# ++++++++++++++++++++++++
# Public vars
# ++++++++++++++++++++++++
transforms = {}
"""Pre-defined XSL transforms"""
xslfiles = {}
"""Pre-defined XSL files"""
# ++++++++++++++++++++++++
# Initialise pub/priv properties
# ++++++++++++++++++++++++
# load known XSL transforms
for _f in _glob(_path.join(__path__[0], "*.xml")):
# _xml=_Parse('file:%s'%_f)
_xml = _etree.parse(_f)
_name = str(_xml.xpath("string(/stylesheet/@name)"))
_file = str(_xml.xpath("string(/stylesheet/@file)"))
_desc = str(_xml.xpath("string(/stylesheet/@description)"))
xslfiles[_name] = _file
transforms[_name] = _desc
# Load config
config = _etree.parse("%s/config/config.xml" % _mpath[0])
categories = {
"default": config.xpath("string(/config/geonetwork/categories/@default)"),
"categories": config.xpath("/config/geonetwork/categories/category/@name"),
}
if not categories["default"] and not categories["categories"]:
#from metageta import
#++++++++++++++++++++++++
#Public vars
#++++++++++++++++++++++++
transforms={}
'''Pre-defined XSL transforms'''
xslfiles={}
'''Pre-defined XSL files'''
#++++++++++++++++++++++++
#Initialise pub/priv properties
#++++++++++++++++++++++++
#load known XSL transforms
for _f in _glob(_path.join(__path__[0],'*.xml')):
#_xml=_Parse('file:%s'%_f)
_xml=_etree.parse(_f)
_name = str(_xml.xpath('string(/stylesheet/@name)'))
_file = str(_xml.xpath('string(/stylesheet/@file)'))
_desc = str(_xml.xpath('string(/stylesheet/@description)'))
xslfiles[_name]=_file
transforms[_name]=_desc
#Load config
config=_etree.parse('%s/config/config.xml'%_mpath[0])
categories={'default':config.xpath('string(/config/geonetwork/categories/@default)'),
'categories':config.xpath('/config/geonetwork/categories/category/@name')
}
if not categories['default'] and not categories['categories']:categories={'default': 'datasets', 'categories': ['datasets']}
import os.path as _path, re as _re, sys as _sys, imp as _imp, warnings as _warn
import __fields__
from metageta import utilities
#Private
__formats__={}
#Public
format_regex=[]
'''List of file path regular expressions defined by format drivers'''
fields=__fields__.fields
'''List of metadata fields that can be populated'''
debug=False
#Dynamically load all formats
for _lib in sorted(_glob(_path.join(__path__[0],'[a-z]*.py'))):
_lib=_path.splitext(_path.basename(_lib))[0]
try:
#import custom format and add to the list of formats
__formats__[_lib]=__import__('%s.%s'%(__name__,_lib), fromlist=[__name__])
#append module _format_regex & fields to lists
format_regex.extend([r for r in __formats__[_lib].format_regex if not r in format_regex])
#except:pass
except:
_warn.showwarning=_warn._show_warning #Fix Ft overwrite
_warn.warn('Unable to import %s\n%s' % (_lib, utilities.ExceptionInfo()))
#import generic formats (eg. GeoTiff, JP2, etc...)
import __default__
#append module _format_regex to list of format regexes
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, unicode_literals
import ConfigParser
import datetime
from glob import glob as _glob
from os.path import realpath
from StringIO import StringIO
from .utils import storage, _decode
glob = lambda f: map(realpath, _glob(f))
class Setting(object):
def __init__(self, settings_file='settings.ini'):
# 读取配置文件
self.conf = ConfigParser.RawConfigParser()
with open(settings_file, 'rb') as f:
content = _decode(f.read()).encode('utf8')
self.conf.readfp(StringIO(content))
def _get_option(self, key, default=None):
try:
value = self.conf.get('General', key)
return _decode(value)
except ConfigParser.Error:
if default is not None:
return default