def checkAndSetIO(io):
""" Check the passed io path/filenames and set appropriately. """
# Check we have a tuple.
io = checkAndSetInstance(tuple, io)
if len(io) != 2:
raise exceptions.RuntimeError(
"The parameter 'io' can only be a tuple of two strings.")
# Check if input exists, if not, raise.
i = checkAndSetInstance(str, io[0])
if i is None:
raise exceptions.IOError(
"The parameter 'input_path' must be a valid filename.")
i = os.path.abspath(i)
#
# Check if output file exists, otherwise attempt to create it.
o = checkAndSetInstance(str, io[1])
if o is None:
raise exceptions.IOError(
"The parameter 'output_path' must be a valid filename.")
o = os.path.abspath(o)
return (i, o)
def verify_section(self, section):
stuff = self.cfg.items(section[0])
for i in range(len(section[1])):
eval(self.key_val_sub(i, stuff, section))
try:
val = eval(self.key_val_sub(i, stuff, section))
if val == False:
raise exceptions.ValueError
except ValueError:
raise exceptions.ValueError(
'Verification function returns False... key:%s, val:%s' %
(stuff[i][0], stuff[i][1]))
except:
raise exceptions.IOError(
'bad configuration... key:%s, val:%s' %
(stuff[i][0], stuff[i][1]))
def make_module_skeleton(self):
dest = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'])
if os.path.exists(dest):
raise exceptions.IOError("Destination %s already exits!" % dest)
if not os.path.exists(os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'kernels/volk_' + self.my_dict['name'])):
os.makedirs(os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'kernels/volk_' + self.my_dict['name']))
current_kernel_names = self.get_current_kernels()
need_ifdef_updates = ["constant.h", "volk_complex.h", "volk_malloc.h", "volk_prefs.h",
"volk_common.h", "volk_cpu.tmpl.h", "volk_config_fixed.tmpl.h",
"volk_typedefs.h", "volk.tmpl.h"]
for root, dirnames, filenames in os.walk(self.my_dict['base']):
for name in filenames:
t_table = map(lambda a: re.search(a, name), current_kernel_names)
t_table = set(t_table)
if (t_table == set([None])) or (name == "volk_32f_null_32f.h"):
infile = os.path.join(root, name)
instring = open(infile, 'r').read()
outstring = re.sub(self.volk, 'volk_' + self.my_dict['name'], instring)
# Update the header ifdef guards only where needed
if name in need_ifdef_updates:
outstring = re.sub(self.volk_included, 'INCLUDED_VOLK_' + self.my_dict['name'].upper(), outstring)
newname = re.sub(self.volk, 'volk_' + self.my_dict['name'], name)
if name == 'VolkConfig.cmake.in':
outstring = re.sub("VOLK", 'VOLK_' + self.my_dict['name'].upper(), outstring)
newname = "Volk%sConfig.cmake.in" % self.my_dict['name']
relpath = os.path.relpath(infile, self.my_dict['base'])
newrelpath = re.sub(self.volk, 'volk_' + self.my_dict['name'], relpath)
dest = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], os.path.dirname(newrelpath), newname)
if not os.path.exists(os.path.dirname(dest)):
os.makedirs(os.path.dirname(dest))
open(dest, 'w+').write(outstring)
infile = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'lib/kernel_tests.h')
instring = open(infile, 'r').read()
outstring = re.sub(self.volk_kernel_tests, '', instring)
outstring = re.sub(self.volk_null_kernel,' (VOLK_INIT_TEST(volk_' + self.my_dict['name'] + '_32f_null_32f, test_params))\n ;', outstring)
open(infile, 'w+').write(outstring)
infile = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'lib/qa_utils.cc')
instring = open(infile, 'r').read()
outstring = re.sub(self.badassert, self.goodassert, instring)
outstring = re.sub(self.baderase, self.gooderase, outstring)
open(infile, 'w+').write(outstring)
def load_using_bioformats(path,
c=None,
z=0,
t=0,
series=None,
index=None,
rescale=True,
wants_max_intensity=False,
channel_names=None):
'''Load the given image file using the Bioformats library
path: path to the file
z: the frame index in the z (depth) dimension.
t: the frame index in the time dimension.
channel_names: None if you don't want them, a list which will be filled if you do
Returns either a 2-d (grayscale) or 3-d (2-d + 3 RGB planes) image
'''
#
# We loop as long as the user is willing to try logging
# in after timeout.
#
while True:
try:
return __load_using_bioformats(path, c, z, t, series, index,
rescale, wants_max_intensity,
channel_names)
except jutil.JavaException, e:
je = e.throwable
if jutil.is_instance_of(je, "loci/formats/FormatException"):
je = jutil.call(je, "getCause", "()Ljava/lang/Throwable;")
if jutil.is_instance_of(je, "Glacier2/PermissionDeniedException"):
omero_logout()
omero_login()
else:
import errno
import exceptions
import traceback
logger.warn(e.message)
for line in traceback.format_exc().split("\n"):
logger.warn(line)
e2 = exceptions.IOError(
errno.EINVAL,
"Could not load the file as an image (see log for details)",
path.encode('utf-8'))
raise e2
def make_dirs(dirname, mode=0o777):
"""
An idempotent version of os.makedirs(). If the dir already exists, do
nothing and return without raising an exception. If this call creates the
dir, return without raising an exception. If there is an error that
prevents creation or if the directory gets deleted after make_dirs() creates
it and before make_dirs() checks that it exists, raise an exception.
"""
tx = None
try:
os.makedirs(dirname, mode)
except OSError as x:
tx = x
if not os.path.isdir(dirname):
if tx:
raise tx
raise exceptions.IOError("unknown error prevented creation of directory, or deleted the directory immediately after creation: %s" % dirname) # careful not to construct an IOError with a 2-tuple, as that has a special meaning...
def make_module_skeleton(self):
dest = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'])
if os.path.exists(dest):
raise exceptions.IOError("Destination %s already exits!"%(dest));
if not os.path.exists(os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'kernels/volk_' + self.my_dict['name'])):
os.makedirs(os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'kernels/volk_' + self.my_dict['name']))
current_kernel_names = self.get_current_kernels();
for root, dirnames, filenames in os.walk(self.my_dict['base']):
for name in filenames:
t_table = map(lambda a: re.search(a, name), current_kernel_names);
t_table = set(t_table);
if t_table == set([None]):
infile = os.path.join(root, name);
instring = open(infile, 'r').read();
outstring = re.sub(self.volk, 'volk_' + self.my_dict['name'], instring);
newname = re.sub(self.volk, 'volk_' + self.my_dict['name'], name);
relpath = os.path.relpath(infile, self.my_dict['base']);
newrelpath = re.sub(self.volk, 'volk_' + self.my_dict['name'], relpath);
dest = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], os.path.dirname(newrelpath), newname);
if not os.path.exists(os.path.dirname(dest)):
os.makedirs(os.path.dirname(dest))
open(dest, 'w+').write(outstring);
infile = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'lib/testqa.cc');
instring = open(infile, 'r').read();
outstring = re.sub(self.volk_run_tests, '', instring);
open(infile, 'w+').write(outstring);
infile = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'apps/volk_' + self.my_dict['name'] + '_profile.cc');
instring = open(infile, 'r').read();
outstring = re.sub(self.volk_profile, '', instring);
open(infile, 'w+').write(outstring);
infile = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'lib/qa_utils.cc');
instring = open(infile, 'r').read();
outstring = re.sub(self.badassert, self.goodassert, instring);
outstring = re.sub(self.baderase, self.gooderase, outstring);
open(infile, 'w+').write(outstring);
def main():
if not 'CMSSW_BASE' in os.environ:
raise exceptions.RuntimeError('CMSSW_BASE is not setup.')
usage = 'usage: %prog [options]\n'
usage = usage + 'Create initial production table.'
parser = OptionParser(usage=usage)
parser.add_option('--filelist',
type='string',
help='List of dataset to be deleted.')
parser.add_option(
'--type',
type='string',
default='mc',
help='Type of production table (data or mc, default mc).')
(options, args) = parser.parse_args()
if os.path.isfile(options.filelist):
filelist = open(options.filelist)
datasets = {}
for dataset in sorted(filelist.readlines()):
if SelectedSites(dataset.rstrip()):
print 'Dataset in selected sites (INSITE).\n'
datasets[dataset.rstrip()] = True
else:
print
datasets[dataset.rstrip()] = False
if options.type.lower() == 'mc':
MCProductionTable(datasets)
elif options.type.lower() == 'data':
DataProductionTable(datasets)
else:
raise exceptions.ValueError(
'Error type %s indefined (option are data or mc).' %
options.type.lower())
else:
raise exceptions.IOError('Filelist %s does not exist.' %
options.filelist)
def dumpLoader(cls, fname):
"""
Creates calculator object from a dump file
:param fname: path to the dump file.
:return: Created calculator object.
:raises RuntimeError: if cannot create object.
"""
try:
calculator = dill.load(open(fname))
except:
raise exceptions.IOError("Cannot read from file " + fname)
if not issubclass(type(calculator), AbstractBaseCalculator):
raise TypeError(
"The argument to the script should be a path to a file "
"with object of subclass of AbstractBaseCalculator")
return calculator
def rdClassSim(simroot, verbose=False):
"""
Check for existing simulation results,
then read in classification simulation products
and return a list containing three SimTable
objects: [Ia,II,Ibc]
"""
from __init__ import SimTable
simnameIa = simroot + '_Ia'
simnameIbc = simroot + '_Ibc'
simnameII = simroot + '_II'
# check first for existence in SNDATA_ROOT
photfileIa = os.path.join(SNDATA_ROOT,
'SIM/' + simnameIa + '/%s_PHOT.FITS' % simnameIa)
photfileIbc = os.path.join(
SNDATA_ROOT, 'SIM/' + simnameIbc + '/%s_PHOT.FITS' % simnameIbc)
photfileII = os.path.join(SNDATA_ROOT,
'SIM/' + simnameII + '/%s_PHOT.FITS' % simnameII)
gridfileIa = os.path.join(SNDATA_ROOT,
'SIM/' + simnameIa + '/%s.GRID' % simnameIa)
gridfileIbc = os.path.join(SNDATA_ROOT,
'SIM/' + simnameIbc + '/%s.GRID' % simnameIbc)
gridfileII = os.path.join(SNDATA_ROOT,
'SIM/' + simnameII + '/%s.GRID' % simnameII)
if (not (os.path.isfile(photfileII) and os.path.isfile(photfileIbc)
and os.path.isfile(photfileIa))
and not (os.path.isfile(gridfileII) and os.path.isfile(gridfileIbc)
and os.path.isfile(gridfileIa))):
raise exceptions.IOError("No classification sim products for %s" %
simroot)
# read in the sim products
simdatIa = SimTable(simnameIa, verbose=verbose)
simdatIbc = SimTable(simnameIbc, verbose=verbose)
simdatII = SimTable(simnameII, verbose=verbose)
return (ClassSim(simdatIa, simdatIbc, simdatII))
def copyFiles(outfilesPickle, destDir='./output'):
"""
Copy output files to destination directory. This is done using rsync.
:param string outfilesPickle: name of outfiles pickle file
:param string destDir: directory to which files should be copied
:raises subprocess.CalledProcessError: if rsync returns an error value
:raises exceptions.IOError: if outfilesPickle does not exist
"""
# Get a list of all output files
if not os.path.exists(outfilesPickle):
raise exceptions.IOError(errno.ENOENT, "File not found",
outfilesPickle)
outfiles = PipeUtil.FetchObject(outfilesPickle)
outfilesList = VLBACal.VLBAMakeOutfilesList(outfiles)
logger.info("Copying (rsync-ing) output files to " + destDir)
# Prepare destination directory
if not os.path.isdir(destDir): # not dir
if os.path.exists(destDir): # not dir & exists
logger.error(
"Copy failed: destination exists and is not a directory.")
raise OSError(errno=errno.ENOTDIR,
strerror="File exists and is not a directory",
filename=destDir)
else: # not dir & not exists
os.makedirs(destDir)
# Copy files using rsync
cmd = ["rsync", "--verbose", "--times"]
cmd.extend(outfilesList)
cmd.append(destDir)
try:
subprocess.check_call(cmd)
except subprocess.CalledProcessError as e:
logger.error(
"Error occurred while rsyncing to destination directory.\n" +
"rsync return value: " + str(e.returncode))
raise
logger.info("All files copied to " + destDir)
def change_directory(self, directory):
if directory is None:
return
directory = os.path.abspath(directory)
if not os.path.isdir(directory):
raise exceptions.IOError(directory)
if len(self.__history) > 0:
if directory == self.__history[self.__current_history_index]:
return
if self.__current_history_index < len(self.__history) - 1:
self.__history = self.__history[:self.__current_history_index + 1]
self.__current_history_index = len(self.__history) - 1
self.__history.append(directory)
self.__current_history_index += 1
self.directory_changed.emit(directory)
self.__on_history_changed()
def make_module_skeleton(self):
dest = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'])
if os.path.exists(dest):
raise exceptions.IOError("Destination %s already exits!" % dest)
if not os.path.exists(os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'kernels/volk_' + self.my_dict['name'])):
os.makedirs(os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'kernels/volk_' + self.my_dict['name']))
current_kernel_names = self.get_current_kernels()
for root, dirnames, filenames in os.walk(self.my_dict['base']):
for name in filenames:
t_table = map(lambda a: re.search(a, name), current_kernel_names)
t_table = set(t_table)
if (t_table == set([None])) or (name == "volk_32f_null_32f.h"):
infile = os.path.join(root, name)
instring = open(infile, 'r').read()
outstring = re.sub(self.volk, 'volk_' + self.my_dict['name'], instring)
newname = re.sub(self.volk, 'volk_' + self.my_dict['name'], name)
relpath = os.path.relpath(infile, self.my_dict['base'])
newrelpath = re.sub(self.volk, 'volk_' + self.my_dict['name'], relpath)
dest = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], os.path.dirname(newrelpath), newname)
if not os.path.exists(os.path.dirname(dest)):
os.makedirs(os.path.dirname(dest))
open(dest, 'w+').write(outstring)
infile = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'lib/kernel_tests.h')
instring = open(infile, 'r').read()
outstring = re.sub(self.volk_kernel_tests, '', instring)
outstring = re.sub(self.volk_null_kernel,' (VOLK_INIT_TEST(volk_' + self.my_dict['name'] + '_32f_null_32f, test_params))\n ;', outstring)
open(infile, 'w+').write(outstring)
infile = os.path.join(self.my_dict['destination'], 'volk_' + self.my_dict['name'], 'lib/qa_utils.cc')
instring = open(infile, 'r').read()
outstring = re.sub(self.badassert, self.goodassert, instring)
outstring = re.sub(self.baderase, self.gooderase, outstring)
open(infile, 'w+').write(outstring)
def get_privkey_file(self):
"""
Locate file containing private key
"""
#privkeys = ['../auth/certs/priv.pem',
# '../../build/auth/certs/priv.pem'
# ]
privkey_fname = os.path.join(DIRNAME,
const_dp.RELATIVE_PATH_BUILD_PRIV_KEY,
const_dp.DP_PRIV_KEY_NAME)
if os.path.exists(privkey_fname):
return privkey_fname
privkey_fname = os.path.join(DIRNAME, const_dp.RELATIVE_PATH_PRIV_KEY,
const_dp.DP_PRIV_KEY_NAME)
if os.path.exists(privkey_fname):
return privkey_fname
raise exceptions.IOError("Can't find private keyfile")
def cmor_reformat(currProject, project_info, variable, model):
model_name = currProject.get_model_name(model)
project_name = currProject.get_project_name(model)
project_basename = currProject.get_project_basename()
project_info['RUNTIME']['model'] = model_name
project_info['RUNTIME']['project'] = project_name
project_info['RUNTIME']['project_basename'] = project_basename
verbosity = project_info["GLOBAL"]["verbosity"]
exit_on_warning = project_info['GLOBAL'].get('exit_on_warning', False)
# Variable put in environment to be used for the (optional)
# wildcard syntax in the model path, ".../${VARIABLE}/..."
# in the namelist
os.environ['__ESMValTool_base_var'] = variable.var
# Build input and output file names
indir, infile = currProject.get_cf_infile(project_info, model,
variable.fld, variable.var,
variable.mip, variable.exp)
fullpath = currProject.get_cf_fullpath(project_info, model, variable.fld,
variable.var, variable.mip,
variable.exp)
# print "indir = %s" % indir
# print "infile = %s" % infile
# print "fullpath = %s" % fullpath
if (not os.path.isdir(os.path.dirname(fullpath))):
os.makedirs(os.path.dirname(fullpath))
# Area file name for ocean grids
areafile_path = currProject.get_cf_areafile(project_info, model)
# Land-mask file name for land variables
lmaskfile_path = currProject.get_cf_lmaskfile(project_info, model)
omaskfile_path = currProject.get_cf_omaskfile(project_info, model)
# Porosity file name for land variables
porofile_path = currProject.get_cf_porofile(project_info, model)
# Additional grid file names for ocean grids, if available (ECEARTH)
hgridfile_path = False
zgridfile_path = False
lsmfile_path = False
if hasattr(currProject, "get_cf_hgridfile"):
hgridfile_path = currProject.get_cf_hgridfile(project_info, model)
if hasattr(currProject, "get_cf_zgridfile"):
zgridfile_path = currProject.get_cf_zgridfile(project_info, model)
if hasattr(currProject, "get_cf_lsmfile"):
lsmfile_path = \
currProject.get_cf_lsmfile(project_info, model, variable.fld)
# General fx file name entry
fx_file_path = False
if hasattr(currProject, "get_cf_fx_file"):
fx_file_path = currProject.get_cf_fx_file(project_info, model)
project, name, ensemble, start_year, end_year, dir\
= currProject.get_cf_sections(model)
info("project is " + project, verbosity, required_verbosity=4)
info("ensemble is " + ensemble, verbosity, required_verbosity=4)
info("dir is " + dir, verbosity, required_verbosity=4)
# Check if the current project has a specific reformat routine,
# otherwise use default
if (os.path.isdir("reformat_scripts/" + project)):
which_reformat = project
else:
which_reformat = 'default'
reformat_script = os.path.join("reformat_scripts", which_reformat,
"reformat_" + which_reformat + "_main.ncl")
# Set enviroment variables
project_info['TEMPORARY'] = {}
project_info['TEMPORARY']['indir_path'] = indir
project_info['TEMPORARY']['outfile_fullpath'] = fullpath
project_info['TEMPORARY']['infile_path'] = os.path.join(indir, infile)
project_info['TEMPORARY']['areafile_path'] = areafile_path
project_info['TEMPORARY']['lmaskfile_path'] = lmaskfile_path
project_info['TEMPORARY']['omaskfile_path'] = omaskfile_path
project_info['TEMPORARY']['porofile_path'] = porofile_path
project_info['TEMPORARY']['start_year'] = start_year
project_info['TEMPORARY']['end_year'] = end_year
project_info['TEMPORARY']['ensemble'] = ensemble
project_info['TEMPORARY']['variable'] = variable.var
project_info['TEMPORARY']['field'] = variable.fld
# FX file path
if fx_file_path:
project_info['TEMPORARY']['fx_file_path'] = fx_file_path
# Special cases
if 'realm' in currProject.get_model_sections(model):
project_info['TEMPORARY']['realm'] = \
currProject.get_model_sections(model)["realm"]
if 'shift_year' in currProject.get_model_sections(model):
project_info['TEMPORARY']['shift_year'] = \
currProject.get_model_sections(model)["shift_year"]
if 'case_name' in currProject.get_model_sections(model):
project_info['TEMPORARY']['case_name'] = \
currProject.get_model_sections(model)["case_name"]
if hgridfile_path and zgridfile_path:
project_info['TEMPORARY']['hgridfile_path'] = hgridfile_path
project_info['TEMPORARY']['zgridfile_path'] = zgridfile_path
if lsmfile_path:
project_info['TEMPORARY']['lsmfile_path'] = lsmfile_path
# Execute the ncl reformat script
if ((not os.path.isfile(project_info['TEMPORARY']['outfile_fullpath']))
or project_info['GLOBAL']['force_processing']):
info(" Calling " + reformat_script + " to check/reformat model data",
verbosity,
required_verbosity=1)
projects.run_executable(reformat_script, project_info, verbosity,
exit_on_warning)
if 'NO_REFORMAT' in reformat_script:
pass
else:
if (not os.path.isfile(project_info['TEMPORARY']['outfile_fullpath'])):
raise exceptions.IOError(
2, "Expected reformatted file isn't available: ",
project_info['TEMPORARY']['outfile_fullpath'])
del (project_info['TEMPORARY'])
def CreateCrabConfig(options, isdata):
"""
Creates a crab config file for processing data
"""
if isdata:
if not options.lumimask:
raise exceptions.ValueError('Missing lumimask for a data job.')
elif not os.path.isfile(options.lumimask):
raise exceptions.IOError('Lumimask file %s does not exist.' %
options.lumimask)
scheduler = 'condor'
use_server = '0'
grid = ''
nevents = GetDatasetNEvents(options.dataset)
njobs = int(nevents * options.eventsize / (1000 * options.filesize))
site = SelectSite(options.dataset, options.fraction)
if site == 'T2_US':
scheduler = 'remoteGlidein'
use_server = '0'
grid = '[GRID]\nse_white_list = T2_US_*'
elif site == 'T2':
print 'Warning: Neither FNAL nor T2_US have the dataset.'
print 'This could mean more chances of problems in the stageout (exit code 60317).'
print 'Increasing the number of jobs by facto 4.'
scheduler = 'remoteGlidein'
use_server = '0'
njobs = 4 * njobs
elif site != 'FNAL':
raise exceptions.ValueError('No T2 site contains this dataset.')
if njobs > 5000:
print 'Warning: the number of jobs for this samples was reduce to 5000.'
njobs = 5000
if not isdata:
datasetblock = 'total_number_of_events = -1\n'
datasetblock = datasetblock + 'number_of_jobs = %d' % int(njobs)
pycfg_params = 'tlbsmTag=%s useData=0' % options.tag.lower()
if options.pycfg:
pycfg_params = pycfg_params + ' ' + options.pycfg
publish_data_name = options.dataset.split('/')[2] + '_' + options.tag
ui_working_dir = options.dataset.replace('/AODSIM', '').replace(
'/', '_')[1:] + '_' + options.tag
else:
datasetblock = 'total_number_of_lumis = -1\n'
datasetblock = datasetblock + 'number_of_jobs = %d\n' % int(njobs)
datasetblock = datasetblock + 'lumi_mask = %s' % options.lumimask
pycfg_params = 'tlbsmTag=%s useData=1' % options.tag.lower()
if options.pycfg:
pycfg_params = pycfg_params + ' ' + options.pycfg
publish_data_name = options.dataset.split('/')[2] + '_' + options.tag
ui_working_dir = options.dataset.replace('/AOD', '').replace(
'/', '_')[1:] + '_' + options.tag
if options.extension > 0 and isdata:
publish_data_name = publish_data_name + '_extension_v%d' % options.extension
ui_working_dir = ui_working_dir + '_extension_v%d' % options.extension
if options.bugfix > 0:
publish_data_name = publish_data_name + '_bugfix_v%d' % options.bugfix
ui_working_dir = ui_working_dir + '_bugfix_v%d' % options.bugfix
settings = {
'scheduler': scheduler,
'use_server': use_server,
'datasetpath': options.dataset,
'pycfg_params': pycfg_params,
'datasetblock': datasetblock,
'publish_data_name': publish_data_name,
'ui_working_dir': ui_working_dir,
'grid': grid
}
filename = '%s/src/TopQuarkAnalysis/TopPairBSM/test/crab_template.cfg' % os.environ[
'CMSSW_BASE']
file = open(filename)
template = string.Template(file.read())
file.close()
file = open('crab_%s.cfg' % ui_working_dir, 'w')
file.write(template.safe_substitute(settings))
file.close()
def writeNameList(self, verbose=False, fail=False, **params):
"""
Modify existing namelist files using information generated via genConversion
Existing files will be copied to .bak
:param verbose (optional -- default is False). If True provide more information on what is going on.
:param fail (optional default is False). If True fail if a parameter not found.
:keyword arguments are parameters and values.
:return: ordered dict of parameters and values used.
"""
if self._readOnly:
raise exceptions.IOError("Model is read only")
params_used = collections.OrderedDict() #
files = collections.OrderedDict() # list of files to be modified.
for param, value in params.iteritems(
): # extract data from conversion indexed by file --
# could this code be moved into genVarToNameList as really a different view of the same data.
# NO as we would need to do this only once we've finished generating namelist translate tables.
# potential optimisation might be to cache this and trigger error in writeNameList if called after genNameList
# search functions first
if param in self._metaFn: # got a meta function.
if verbose:
"Running function %s" % self._metaFn[param].func_name
metaFnValues = self._metaFn[param](
value) # call the meta param function which returns a dict
params_used[param] = metaFnValues # and update return var
for conv, v in metaFnValues.iteritems(
): # iterate over result of fn.
if conv.file not in files:
files[conv.file] = [
] # if not come across the file set it to empty list
files[conv.file].append(
(v, conv)) # append the value & conversion info.
elif param in self._convNameList: # got it in convNameList ?
for conv in self._convNameList[param]:
if conv.file not in files:
files[conv.file] = [
] # if not come across the file set it to empty list
files[conv.file].append(
(value, conv)) # append the value & conversion
params_used[param] = value # and update return var
elif fail:
raise exceptions.KeyError(
"Failed to find %s in metaFn or convNameList " % param)
else:
pass
# now have conversion tuples ordered by file so let's process the files
for file in files.keys(): # iterate over files
# need to create backup? Only do if no back up exists. This allows generateNameList to be run multiple times
# doing updates. First time it runs we assume we have a directory ready to be modified.
filePath = os.path.join(self.dirPath,
file) # full path to namelist file
# check file exists if not raise exception
if not os.path.isfile(filePath):
#raise exceptions.IOError("file %s does not exist"%(filePath))
continue # skip this file.
backup_file = filePath + "_nl.bak" # and full path to backup fie.
if not os.path.isfile(backup_file):
shutil.copyfile(filePath, backup_file)
# now create the namelist file. Need a temp file
with tempfile.NamedTemporaryFile(dir=self.dirPath,
delete=False) as tmpNL:
# Now construct the patch for the namelist file for all conversion tuples.
nlPatch = collections.OrderedDict(
) # path to exisiting namelist file
for (value, conv) in files[file]:
if conv.namelist not in nlPatch:
nlPatch[conv.namelist] = collections.OrderedDict(
) # dom't have ordered dict so make it
if type(
value
) is np.ndarray: # convert numpy array to list for writing.
value = value.tolist()
elif isinstance(value, unicode):
value = str(
value
) # f90nml can't cope with unicode so convert it to string.
nlPatch[conv.namelist][conv.var] = copy.copy(
value
) # copy the variable to be stored rather than the name.
if verbose:
print "Setting %s,%s to %s in %s" % (
conv.namelist, conv.var, value, filePath)
try:
p = f90nml.patch(filePath, nlPatch,
tmpNL.name) # patch the namelist file
tmpNL.close() # close the temp file once done.
except StopIteration:
print "Problem in f90nml for %s writing to %s" % (
filePath, tmpNL.name), nlPatch
raise # raise exception.
if verbose: print "Patched %s to %s" % (filePath, tmpNL.name)
shutil.move(
tmpNL.name,
filePath) # and copy the patched file back in place.
return params_used
def import_kernel(self, name, base):
if not base:
base = self.my_dict['base']
basename = self.getbasename()
else:
basename = self.get_basename(base)
if not name in self.get_current_kernels(base):
raise exceptions.IOError(
"Requested kernel %s is not in module %s" % (name, base))
inpath = os.path.abspath(base)
if len(basename) > 0:
top = 'volk_' + basename + '_'
else:
top = 'volk_'
oldvolk = re.compile(top[:-1])
self.convert_kernel(oldvolk, name, base, inpath, top)
kernel = re.compile(name)
search_kernels = Set([kernel])
profile = re.compile('^\s*VOLK_PROFILE')
puppet = re.compile('^\s*VOLK_PUPPET')
infile = open(
os.path.join(inpath, 'apps/', oldvolk.pattern + '_profile.cc'))
otherinfile = open(
os.path.join(self.my_dict['destination'],
'volk_' + self.my_dict['name'],
'apps/volk_' + self.my_dict['name'] + '_profile.cc'))
dest = os.path.join(
self.my_dict['destination'], 'volk_' + self.my_dict['name'],
'apps/volk_' + self.my_dict['name'] + '_profile.cc')
lines = infile.readlines()
otherlines = otherinfile.readlines()
open(dest, 'w+').write('')
insert = False
inserted = False
for otherline in otherlines:
if self.lastline.match(otherline):
insert = True
if insert and not inserted:
inserted = True
for line in lines:
if kernel.search(line):
if profile.match(line):
outline = re.sub(oldvolk,
'volk_' + self.my_dict['name'],
line)
open(dest, 'a').write(outline)
elif puppet.match(line):
outline = re.sub(oldvolk,
'volk_' + self.my_dict['name'],
line)
open(dest, 'a').write(outline)
args = re.search("(?<=VOLK_PUPPET_PROFILE).*",
line)
m_func = args.group(0).split(',')[0]
func = re.search('(?<=' + top + ').*', m_func)
search_kernels.add(re.compile(func.group(0)))
self.convert_kernel(oldvolk, func.group(0), base,
inpath, top)
write_okay = True
for kernel in search_kernels:
if kernel.search(otherline):
write_okay = False
if write_okay:
open(dest, 'a').write(otherline)
for kernel in search_kernels:
print("Adding kernel %s from module %s" % (kernel.pattern, base))
infile = open(os.path.join(inpath, 'lib/testqa.cc'))
otherinfile = open(
os.path.join(self.my_dict['destination'],
'volk_' + self.my_dict['name'], 'lib/testqa.cc'))
dest = os.path.join(self.my_dict['destination'],
'volk_' + self.my_dict['name'], 'lib/testqa.cc')
lines = infile.readlines()
otherlines = otherinfile.readlines()
open(dest, 'w+').write('')
inserted = False
insert = False
for otherline in otherlines:
if re.match('\s*', otherline) is None or re.match(
'\s*#.*', otherline) is None:
insert = True
if insert and not inserted:
inserted = True
for line in lines:
for kernel in search_kernels:
if kernel.search(line):
if self.volk_run_tests.match(line):
outline = re.sub(
oldvolk, 'volk_' + self.my_dict['name'],
line)
open(dest, 'a').write(outline)
write_okay = True
for kernel in search_kernels:
if kernel.search(otherline):
write_okay = False
if write_okay:
open(dest, 'a').write(otherline)
def remove_kernel(self, name):
basename = self.my_dict['name']
if len(basename) > 0:
top = 'volk_' + basename + '_'
else:
top = 'volk_'
base = os.path.join(self.my_dict['destination'], top[:-1])
if not name in self.get_current_kernels():
raise exceptions.IOError(
"Requested kernel %s is not in module %s" % (name, base))
inpath = os.path.abspath(base)
kernel = re.compile(name)
search_kernels = Set([kernel])
profile = re.compile('^\s*VOLK_PROFILE')
puppet = re.compile('^\s*VOLK_PUPPET')
src_dest = os.path.join(inpath, 'apps/', top[:-1] + '_profile.cc')
infile = open(src_dest)
otherlines = infile.readlines()
open(src_dest, 'w+').write('')
for otherline in otherlines:
write_okay = True
if kernel.search(otherline):
write_okay = False
if puppet.match(otherline):
args = re.search("(?<=VOLK_PUPPET_PROFILE).*", otherline)
m_func = args.group(0).split(',')[0]
func = re.search('(?<=' + top + ').*', m_func)
search_kernels.add(re.compile(func.group(0)))
if write_okay:
open(src_dest, 'a').write(otherline)
src_dest = os.path.join(inpath, 'lib/testqa.cc')
infile = open(src_dest)
otherlines = infile.readlines()
open(src_dest, 'w+').write('')
for otherline in otherlines:
write_okay = True
for kernel in search_kernels:
if kernel.search(otherline):
write_okay = False
if write_okay:
open(src_dest, 'a').write(otherline)
for kernel in search_kernels:
infile = os.path.join(
inpath,
'kernels/' + top[:-1] + '/' + top + kernel.pattern + '.h')
print("Removing kernel %s" % kernel.pattern)
if os.path.exists(infile):
os.remove(infile)
# remove the orc proto-kernels if they exist. There are no puppets here
# so just need to glob for files matching kernel name
print(
glob.glob(inpath + '/kernel/volk/asm/orc/' + top + name + '*.orc'))
for orcfile in glob.glob(inpath + '/kernel/volk/asm/orc/' + top +
name + '*.orc'):
print(orcfile)
if os.path.exists(orcfile):
os.remove(orcfile)
#
# make_grid_desc.py ../Grids/ns_grid.sum /home/data/GUDP-VIND_test/VINDdata/setup/ns_grid_depth_v5 ns_grid.nc
#
#####################################################################################
from numpy import *
import netCDF4 as netcdf
import sys
import exceptions
import datetime
usage_str = "usage: %s <grid_summary_file> <grid_description> <netCDF_descriptor> " % sys.argv[
0]
if len(sys.argv) != 4:
raise exceptions.IOError(("%s expects 3 arguments\n\n" % sys.argv[0]) +
usage_str)
#
# ------------ read header file ------------
#
fin = open(sys.argv[1])
nx, ny, nz = map(int, fin.readline().split()[:3])
dlon, dlat = map(float, fin.readline().split()[:2])
lon0, lat0 = map(float, fin.readline().split()[:2])
fin.close()
#
# ------------ read grid_description ------------
#
fgr = open(sys.argv[2])
data = fgr.read().split()
Convenience function to make restful HTTP requests.
"""
conn = None
try:
conn = httplib.HTTPConnection(host, timeout=timeout)
conn.request(method, url, body, headers)
response = conn.getresponse()
if status: assert (response.status == status)
data = response.read()
if response.length == 0: data = None
except httplib.HTTPException, e:
raise httplib.HTTPException("HTTP error: %d" % e.code)
except socket.error, e:
raise socket.error("Socket error: %s" % e.message)
except exceptions.IOError, e:
raise exceptions.IOError("IO error: %s" % e.message)
finally:
if conn: conn.close()
return {
"body": data,
"status": response.status,
"headers": dict(response.getheaders())
}
class ClusterAddress(models.Model):
"""
Holds metadata about all the known clusters.
"""
owner = models.ForeignKey(User, db_index=True)
address = models.CharField(max_length=128, unique=True)
def compressFeatureData(self, s_ftfile):
"""
@return: 1. the zip file path; 2. layer name at geoserver
"""
from osgeo import ogr
def zipFiles(zipname, files, arcnames):
assert len(files) == len(
arcnames), "size of file names and rename container not equal"
zipf = zipfile.ZipFile(zipname, 'w')
for i in range(len(files)):
if os.path.exists(files[i]):
zipf.write(files[i], arcnames[i])
zipf = None
ft = ogr.Open(s_ftfile)
ftDrv = ft.GetDriver()
sft = os.path.splitext(s_ftfile)[0]
archive_files = [
sft + '.shp', sft + '.shx', sft + '.prj', sft + '.dbf'
]
filename = os.path.split(sft)[1]
arcnames = [
filename + '.shp', filename + '.shx', filename + '.prj',
filename + '.dbf'
]
logging.info("the driver of vector data {0} is {1}".format(
s_ftfile, ftDrv.name))
if (ftDrv.name != "ESRI Shapefile"):
tempshpf = os.path.join(
config.getConfigValue('server', 'tempPath'), str(uuid.uuid4()))
shpDrv = ogr.GetDriverByName("ESRI Shapefile")
shpft = shpDrv.CopyDataSource(ft, tempshpf + '.shp')
if not shpft:
raise exceptions.IOError(
"{0} format vector data to shapefile format fault".format(
s_ftfile))
# close the vector datasource
ft = None
shpft = None
# zip shape files and delete them
# create an defautl prj file for this shapefile if thereis not projection information
if not os.path.exists(tempshpf + '.prj'):
f = open(tempshpf + '.prj', 'w')
f.write(
'GEOGCS["GCS_WGS_1984",DATUM["WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]]'
)
f.close()
archive_files = [
tempshpf + '.shp', tempshpf + '.shx', tempshpf + '.prj',
tempshpf + '.dbf'
]
zipFiles(tempshpf + '.zip', archive_files, arcnames)
for f in archive_files:
if os.path.exists(f):
os.remove(f)
return tempshpf + '.zip', filename
else:
zipFiles(sft + '.zip', archive_files, arcnames)
return sft + '.zip', filename