#from anuga.validation_utilities.parameters import cfl
args = anuga.get_args()
alg = args.alg
np = args.np
verbose = args.verbose
#---------------------------------
# Get the current svn revision
#---------------------------------
timestamp = time.asctime()
major_revision = anuga.get_version()
try:
# This fails if using git for version control
minor_revision = anuga.get_revision_number()
except:
try:
# This works when using git on unix
minor_revision = os.popen("git show-ref --head -s | head -n1").read().strip()
except:
# This is a fallback position
minor_revision = 'unknown'
#----------------------------------
# Now it is ok to create the latex
# macro file with run parameters
#
# FIXME: THis is a little dangerous as
# this is changed before all the tests
#from anuga.validation_utilities.parameters import cfl
args = anuga.get_args()
alg = args.alg
np = args.np
verbose = args.verbose
#---------------------------------
# Get the current svn revision
#---------------------------------
timestamp = time.asctime()
major_revision = anuga.get_version()
try:
# This fails if using git for version control
minor_revision = anuga.get_revision_number()
except:
try:
# This works when using git on unix
minor_revision = os.popen("git show-ref --head -s | head -n1").read().strip()
except:
# This is a fallback position
minor_revision = 'unknown'
#----------------------------------
# Now it is ok to create the latex
# macro file with run parameters
#
# FIXME: THis is a little dangerous as
# this is changed before all the tests
system('bibtex %s' %texfile)
# Create pdf file
#system('dvips %s -o %s.ps' %((texfile,)*2))
#system('ps2pdf %s.ps' %texfile)
# Create html pages
if do_html is True:
system('latex2html %s' %texfile)
else:
print 'Skipping html version for %s as requested' %texfile
# Clean-up
#system('/bin/rm version.tex')
#system('svn update') # Restore version file
#system('cp *.pdf ../')
#system('cp anuga_user_manual.pdf ../../anuga_core/doc')
print 'Cleanup aux tex files'
system('rm *.aux *.bbl *.blg *.idx *.ilg *.ind *.log *.out *.toc *.syn *.synctex.gz ')
# Print
print 'User manual compiled'
print 'Anuga version:', get_version()
print 'Build:', get_revision_number()
system('date')
def store_header(self,
outfile,
times,
number_of_points,
description='Converted from URS mux2 format',
sts_precision=netcdf_float,
verbose=False):
"""Write a header to the underlying data file.
outfile handle to open file to write
times list of the time slice times *or* a start time
number_of_points the number of URS gauge sites
description description string to write into the STS file
sts_precision format of data to write (netcdf constant ONLY)
verbose True if this function is to be verbose
If 'times' is a list, the info will be made relative.
"""
outfile.institution = 'Geoscience Australia'
outfile.description = description
try:
revision_number = anuga.get_revision_number()
except:
revision_number = None
# Allow None to be stored as a string
outfile.revision_number = str(revision_number)
# Start time in seconds since the epoch (midnight 1/1/1970)
# This is being used to seperate one number from a list.
# what it is actually doing is sorting lists from numeric arrays.
if isinstance(times, (list, num.ndarray)):
number_of_times = len(times)
times = ensure_numeric(times)
if number_of_times == 0:
starttime = 0
else:
starttime = times[0]
times = times - starttime #Store relative times
else:
number_of_times = 0
starttime = times
outfile.starttime = starttime
# Dimension definitions
outfile.createDimension('number_of_points', number_of_points)
outfile.createDimension('number_of_timesteps', number_of_times)
outfile.createDimension('numbers_in_range', 2)
# Variable definitions
outfile.createVariable('permutation', netcdf_int, ('number_of_points',))
outfile.createVariable('x', sts_precision, ('number_of_points',))
outfile.createVariable('y', sts_precision, ('number_of_points',))
outfile.createVariable('elevation', sts_precision, \
('number_of_points',))
q = 'elevation'
outfile.createVariable(q + Write_sts.RANGE, sts_precision,
('numbers_in_range',))
# Initialise ranges with small and large sentinels.
# If this was in pure Python we could have used None sensibly
outfile.variables[q + Write_sts.RANGE][0] = max_float # Min
outfile.variables[q + Write_sts.RANGE][1] = -max_float # Max
self.write_dynamic_quantities(outfile, Write_sts.sts_quantities, times)
def store_header(self,
outfile,
times,
number_of_points,
description='Converted from URS mux2 format',
sts_precision=netcdf_float,
verbose=False):
"""Write a header to the underlying data file.
outfile handle to open file to write
times list of the time slice times *or* a start time
number_of_points the number of URS gauge sites
description description string to write into the STS file
sts_precision format of data to write (netcdf constant ONLY)
verbose True if this function is to be verbose
If 'times' is a list, the info will be made relative.
"""
outfile.institution = 'Geoscience Australia'
outfile.description = description
try:
revision_number = anuga.get_revision_number()
except:
revision_number = None
# Allow None to be stored as a string
outfile.revision_number = str(revision_number)
# Start time in seconds since the epoch (midnight 1/1/1970)
# This is being used to seperate one number from a list.
# what it is actually doing is sorting lists from numeric arrays.
if isinstance(times, (list, num.ndarray)):
number_of_times = len(times)
times = ensure_numeric(times)
if number_of_times == 0:
starttime = 0
else:
starttime = times[0]
times = times - starttime #Store relative times
else:
number_of_times = 0
starttime = times
outfile.starttime = starttime
# Dimension definitions
outfile.createDimension('number_of_points', number_of_points)
outfile.createDimension('number_of_timesteps', number_of_times)
outfile.createDimension('numbers_in_range', 2)
# Variable definitions
outfile.createVariable('permutation', netcdf_int,
('number_of_points', ))
outfile.createVariable('x', sts_precision, ('number_of_points', ))
outfile.createVariable('y', sts_precision, ('number_of_points', ))
outfile.createVariable('elevation', sts_precision, \
('number_of_points',))
q = 'elevation'
outfile.createVariable(q + Write_sts.RANGE, sts_precision,
('numbers_in_range', ))
# Initialise ranges with small and large sentinels.
# If this was in pure Python we could have used None sensibly
outfile.variables[q + Write_sts.RANGE][0] = max_float # Min
outfile.variables[q + Write_sts.RANGE][1] = -max_float # Max
self.write_dynamic_quantities(outfile, Write_sts.sts_quantities, times)
